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Abstract Scientific Rationale and Importance The AI industry faces three existential crises: energy consumption (565 TWh annually and growing), reproducibility (floating-point non-associativity makes bit-exact replication impossible by construction), and intellectual property (black-box models cannot provide cryptographic chain-of-custody for training data or outputs). These are not inevitable trade-offs—they are consequences of architectural choices. Zone 0 is a complete, integer-only computational substrate from silicon voltage to symbolic language. It uses no IEEE-754 floating-point operations, no operating system abstractions, and no nondeterministic elements. The arithmetic floor is 146 lines of C (Q32.32 fixed-point). Training runs measure 0.414 joules—approximately 450,000,000× less energy than published estimates for large transformer training. Research Plan This proposal does not seek funding for new research. It seeks funding for rigorous, open peer review of existing work that is already published, code-complete, and measured. The plan is simple: Submit the IEEE standard document and supporting materials to ResearchHub for Crowd Review Use funding to incentivize high-quality, detailed reviews from domain experts Document all findings publicly, regardless of outcome If the work holds up, use the validated results to advocate for energy-efficient computing If flaws are found, fix them and repeat Team and Facilities Principal Investigator: Dan (independent researcher, 15 months on this project) Facilities: One old laptop, 0 dollars in bank account, and publicly available code Ethics: No human or animal subjects; all data is synthetic or publicly available Estimated Timeline Phase 1 Week 1 Submit proposal and materials to ResearchHub Phase 2 Weeks 2 Open peer review period Phase 3 Weeks 3-4 Compile and respond to reviews Phase 4 Weeks 5-10 Publish final validated results Data Sharing Commitment All code, measurements, telemetry, and supporting materials are already publicly available with DOIs on Zenodo. All future results will be shared immediately and openly. Data sharing is not a future promise—it is already the practice. 2. Introduction This proposal does not seek funding for new research. It seeks funding for rigorous, open peer Theoretical Background Current AI infrastructure is built on IEEE-754 floating-point arithmetic. This standard was designed for scientific computing, numerical simulation, and graphics—not for AI. Its defining characteristic for AI is a bug: floating-point addition is non-associative. This means (a + b) + c ≠ a + (b + c). When multiplied across thousands of GPUs with nondeterministic reduction orders, results are unreproducible by construction. The industry has accepted this as a cost of doing business. The costs are now existential. The Three Crises The Energy Crisis Training a single large language model consumes megawatt-scale power over months. Global AI compute approaches 565 TWh annually—equivalent to the electricity consumption of entire nations. This is not sustainable. The Reproducibility Crisis Because floating-point is non-associative and GPU operations are nondeterministic, no two training runs produce bit-identical results. This means AI research is not reproducible by design. Papers cannot be independently verified. The Intellectual Property Crisis Without deterministic provenance, ownership of AI-generated outputs is legally indefensible. Who owns what the black box produces? The answer is: nobody can prove it, because nobody can trace the chain of custody. The Zone 0 Alternative Zone 0 is a complete alternative computational substrate built on integers. Integers are associative, deterministic, and verifiable. The stack has eight layers: Layer Description 1 Silicon voltage 2 Voltage to Q32.32 integer 3 Integer-only arithmetic library (146 lines of C) 4 CORDIC trigonometry (28 iterations, shift+add only) 5 Integer Newton square root (128-bit) 6 Learning rule: Banach contraction (5 instructions, 3 cycles) 7 Quaternary (2-bit) weight system 8 256-symbol integer bytecode to symbolic language What Already Exists Complete working code: 484 source files, 36 leaves, 8 subdomains Measured training energy: 0.414 joules (RAPL-instrumented) Determinism verification: Bit-exact by construction Memory bandwidth: 16× less than float32 (2-bit vs. 32-bit) Published IEEE standard draft All materials public with DOIs on Zenodo What This Proposal Asks For Not permission. Not institutional backing. Not a salary. Peer review. Scrutiny. The chance to have the work torn apart by smart people. If it holds up, the energy argument becomes undeniable. If it doesn't, we find the flaw and fix it. Either way, science wins. Hypotheses H1 (Primary): Determinism by Construction Hypothesis: Zone 0 produces bit-exact deterministic outputs across all operations, with 100% reproducibility between runs. Rationale: Because Zone 0 uses integer arithmetic exclusively, and integers are associative, there are no sources of nondeterminism in the computational stack. Floating-point rounding, non-associativity, and nondeterministic reduction orders are absent by design. Supporting Evidence: Existing code produces bit-identical outputs across 329,176 test vectors. This has been verified by cryptographic hash comparison. Test: Reviewers will verify that the code produces identical outputs across multiple runs, across different hardware, and across different compilation environments. H2 (Primary): Energy Reduction Hypothesis: Zone 0 achieves a ≥ 10⁸× reduction in energy consumption compared to floating-point AI systems for equivalent learning tasks. Rationale: The Banach contraction learning rule executes in 5 integer instructions and 3 clock cycles. Full training runs have been measured at 0.414 joules. Published estimates for large transformer training range from 10⁸ to 10¹⁰ joules. Supporting Evidence: RAPL-instrumented measurements show 0.414 joules for a complete training run. Energy breakdown by operation is documented in the IEEE standard. Test: Reviewers will replicate the energy measurements and compare to published baselines for equivalent workloads. H3 (Secondary): Memory Bandwidth Reduction Hypothesis: Zone 0's quaternary (2-bit) weight system moves 16× fewer bytes than float32, with no loss in learning capability. Rationale: 2-bit weights require 0.25 bytes each, compared to 4 bytes for float32. The Banach contraction learning rule operates directly on these 2-bit values. Supporting Evidence: The quaternary weight system is implemented and operational. Accuracy comparisons to float32 are documented. Test: Reviewers will replicate the accuracy comparisons and measure memory bandwidth utilization. H4 (Secondary): Cryptographic Chain of Custody Hypothesis: Zone 0's deterministic, integer-only architecture enables cryptographic chain-of-custody for IP provenance that is legally defensible. Rationale: Deterministic computation means every operation can be hashed and verified. The ROOT_SEAL.json mechanism provides a cryptographic signature chain. Supporting Evidence: The cryptographic chain-of-custody implementation is documented in the Phi-Net Data Schema record and the IEEE standard. Test: Reviewers will audit the cryptographic implementation and assess its legal defensibility. H5 (Secondary): Generalizability Hypothesis: Zone 0 is capable of general-purpose computing, not just specialized AI workloads. Rationale: The eight-layer stack from voltage to symbolic language is Turing-complete by construction. Supporting Evidence: The stack architecture is mapped across 8 subdomains and 36 leaves, covering arithmetic, control flow, memory, and I/O. Test: Reviewers will assess the completeness of the stack and identify any missing primitives. 3. Methods Participants/Sample Category Description Reviewers Domain experts in computer architecture, numerical computing, AI, energy efficiency, and cryptography Target sample Minimum 5 reviews, ideally 10-20 reviews Recruitment ResearchHub community; direct outreach to experts via email; sharing with existing Zenodo audience Inclusion Criteria for Reviewers: Demonstrated expertise in relevant domain Willing to provide public, constructive feedback No conflict of interest Exclusion Criteria: Anonymous or unverified accounts Non-constructive feedback (ad hominem, dismissal without evidence) Materials and Procedures Materials Material Source DOI/Link IEEE Standard for Substrate-Native Integer Computing (Zone 0) Zenodo 10.5281/zenodo.21514923 NUMEN: PI-Origin Architecture and Design Zenodo 10.5281/zenodo.20045701 NUMEN: Visualizations, Specifications, and Applications Zenodo 10.5281/zenodo.20046158 Aurum/QuatOS–PhiNet: Self-Regulating Digital Organism Zenodo 10.5281/zenodo.20786536 NUMEN_OS Zenodo 10.5281/zenodo.21458931 Bare Metal Operating Systems: Integer-only Q32.32 Zenodo 10.5281/zenodo.21479299 Fun With Quantum Computing Zenodo 10.5281/zenodo.22096536 Podcast episodes (audio summaries) Zenodo 10.5281/zenodo.22283557 Source code Included in each record Publicly accessible Procedures Submission: All materials will be submitted to ResearchHub as a Crowd Review proposal Review Invitation: Reviewers will be invited via ResearchHub, direct email, and social channels Review Period: 14-day open review window (ResearchHub standard) Review Criteria: Reviewers will score on a 1-5 scale across: Novelty and innovation Rigor and methodology Significance and impact Open science commitment Response: All reviews will be responded to publicly and constructively Revision: Based on valid criticisms, materials will be revised and re-submitted Planned Analyses For Each Hypothesis: Hypothesis Test Success Criterion H1 (Determinism) Replicate code on different hardware 100% bit-identical outputs H2 (Energy) Replicate RAPL measurements ≤ 1 joule per training run H3 (Memory) Measure bandwidth utilization ≥ 10× reduction vs. float32 H4 (Crypto) Audit chain-of-custody No cryptographic vulnerabilities H5 (Generalizability) Assess stack completeness No missing primitives Interpretation Regardless of Outcome: If hypotheses hold: The work is validated. Publish results widely, advocate for adoption. If hypotheses fail: The flaws are identified. Fix them and repeat. Document everything. If reviewers disagree: The debate is public. The data is public. Science proceeds. This is the win-win. Ethics and Data Management Ethical Approval: Not required. No human or animal subjects. All data is synthetic or publicly available. Confidentiality: All review data will be public. No sensitive information is involved. Data Sharing: All data is already shared. All future data will be shared immediately. Archiving: All materials are archived with DOIs on Zenodo. 4. Pilot Data The following data already exists and demonstrates feasibility. This is not pilot data for a future study—it is data from the completed work. Energy Measurements Run Energy (Joules) 1 0.412 2 0.415 3 0.413 4 0.414 5 0.416 6 0.413 7 0.414 8 0.415 9 0.414 10 0.413 Mean: 0.414 joules Standard deviation: 0.001 95% CI: [0.413, 0.415] Reproducibility Verification Test Runs Identical? Bit-exact output verification 329,176 test vectors 100% Traction on Zenodo As of September 2026: Metric Value Total downloads (top 7 records) 1,200+ Download-to-view ratio 2.2:1 Records published 61 Months active 4 This traction demonstrates that the work is already reaching an audience. The download-to-view ratio indicates the audience is engaged and serious—they are downloading and consuming, not just browsing. The move to ResearchHub is the natural next step. Current Resources Resource Status Bank account $0 Equipment One old laptop Code Complete and public Publications 61 DOIs on Zenodo Audience 1,200+ downloads Institutional backing None Formal training in CS None Time invested 15 months This proposal is not a grant request for a startup. It is a request for peer review, with a modest budget to incentivize high-quality engagement. 5. Budget This is the minimum viable budget to make the challenge work. The goal is to get serious, rigorous reviews from domain experts. The budget is to incentivize that engagement. Reviewer Bounties 10 reviewers at $50 each $500 Incentivizes high-quality, detailed reviews ResearchHub Fee Platform fee $0 ResearchHub takes no fee for crowdfunding Hosting Zenodo DOI maintenance $0 Already covered Total $500 Alternative: $0 Budget Option If the goal is solely peer review without incentivized bounties, the proposal can run with $0 funding. Reviews will still happen—they just may be fewer and slower. The power of the challenge does not depend on funding. It depends on the quality of the work. 6. References Zenodo (2026). IEEE Standard for Substrate-Native Integer Computing (Zone 0). DOI: 10.5281/zenodo.21514923 Zenodo (2026). NUMEN: PI-Origin Architecture and Design. DOI: 10.5281/zenodo.20045701 Zenodo (2026). NUMEN: Visualizations, Specifications, and Applications. DOI: 10.5281/zenodo.20046158 Zenodo (2026). Aurum/QuatOS–PhiNet: A Self-Regulating Digital Organism on Bare Metal. DOI: 10.5281/zenodo.20786536 Zenodo (2026). NUMEN_OS. DOI: 10.5281/zenodo.21458931 Zenodo (2026). Bare Metal Operating Systems: The power of integer only q32.32. DOI: 10.5281/zenodo.21479299 Zenodo (2026). FUN WITH QUANTUM COMPUTING. DOI: 10.5281/zenodo.22096536 Zenodo (2026). Random NUMEN OS audio clips. DOI: 10.5281/zenodo.22283557 IEEE (2019). IEEE Standard for Floating-Point Arithmetic (IEEE Std 754™-2019). IEEE Computer Society. Landauer, R. (1961). Irreversibility and Heat Generation in the Computing Process. IBM Journal of Research and Development, 5(3), 183-191. Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and Policy Considerations for Deep Learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645-3650. Patterson, D., et al. (2021). Carbon Emissions and Large Neural Network Training. arXiv:2104.10350. Banach, S. (1922). Sur les opérations dans les ensembles abstraits et leur application aux équations intégrales. Fundamenta Mathematicae, 3, 133-181.89:T3c62,Zone 0 Challenge – Prove Me Wrong 1. Abstract Scientific Rationale and Importance The AI industry faces three existential crises: energy consumption (565 TWh annually and growing), reproducibility (floating-point non-associativity makes bit-exact replication impossible by construction), and intellectual property (black-box models cannot provide cryptographic chain-of-custody for training data or outputs). These are not inevitable trade-offs—they are consequences of architectural choices. Zone 0 is a complete, integer-only computational substrate from silicon voltage to symbolic language. It uses no IEEE-754 floating-point operations, no operating system abstractions, and no nondeterministic elements. The arithmetic floor is 146 lines of C (Q32.32 fixed-point). Training runs measure 0.414 joules—approximately 450,000,000× less energy than published estimates for large transformer training. Research Plan This proposal does not seek funding for new research. It seeks funding for rigorous, open peer review of existing work that is already published, code-complete, and measured. The plan is simple: Submit the IEEE standard document and supporting materials to ResearchHub for Crowd Review Use funding to incentivize high-quality, detailed reviews from domain experts Document all findings publicly, regardless of outcome If the work holds up, use the validated results to advocate for energy-efficient computing If flaws are found, fix them and repeat Team and Facilities Principal Investigator: Dan (independent researcher, 15 months on this project) Facilities: One old laptop, 0 dollars in bank account, and publicly available code Ethics: No human or animal subjects; all data is synthetic or publicly available Estimated Timeline Phase 1 Week 1 Submit proposal and materials to ResearchHub Phase 2 Weeks 2 Open peer review period Phase 3 Weeks 3-4 Compile and respond to reviews Phase 4 Weeks 5-10 Publish final validated results Data Sharing Commitment All code, measurements, telemetry, and supporting materials are already publicly available with DOIs on Zenodo. All future results will be shared immediately and openly. Data sharing is not a future promise—it is already the practice. 2. Introduction This proposal does not seek funding for new research. It seeks funding for rigorous, open peer Theoretical Background Current AI infrastructure is built on IEEE-754 floating-point arithmetic. This standard was designed for scientific computing, numerical simulation, and graphics—not for AI. Its defining characteristic for AI is a bug: floating-point addition is non-associative. This means (a + b) + c ≠ a + (b + c). When multiplied across thousands of GPUs with nondeterministic reduction orders, results are unreproducible by construction. The industry has accepted this as a cost of doing business. The costs are now existential. The Three Crises The Energy Crisis Training a single large language model consumes megawatt-scale power over months. Global AI compute approaches 565 TWh annually—equivalent to the electricity consumption of entire nations. This is not sustainable. The Reproducibility Crisis Because floating-point is non-associative and GPU operations are nondeterministic, no two training runs produce bit-identical results. This means AI research is not reproducible by design. Papers cannot be independently verified. The Intellectual Property Crisis Without deterministic provenance, ownership of AI-generated outputs is legally indefensible. Who owns what the black box produces? The answer is: nobody can prove it, because nobody can trace the chain of custody. The Zone 0 Alternative Zone 0 is a complete alternative computational substrate built on integers. Integers are associative, deterministic, and verifiable. The stack has eight layers: Layer Description 1 Silicon voltage 2 Voltage to Q32.32 integer 3 Integer-only arithmetic library (146 lines of C) 4 CORDIC trigonometry (28 iterations, shift+add only) 5 Integer Newton square root (128-bit) 6 Learning rule: Banach contraction (5 instructions, 3 cycles) 7 Quaternary (2-bit) weight system 8 256-symbol integer bytecode to symbolic language What Already Exists Complete working code: 484 source files, 36 leaves, 8 subdomains Measured training energy: 0.414 joules (RAPL-instrumented) Determinism verification: Bit-exact by construction Memory bandwidth: 16× less than float32 (2-bit vs. 32-bit) Published IEEE standard draft All materials public with DOIs on Zenodo What This Proposal Asks For Not permission. Not institutional backing. Not a salary. Peer review. Scrutiny. The chance to have the work torn apart by smart people. If it holds up, the energy argument becomes undeniable. If it doesn't, we find the flaw and fix it. Either way, science wins. Hypotheses H1 (Primary): Determinism by Construction Hypothesis: Zone 0 produces bit-exact deterministic outputs across all operations, with 100% reproducibility between runs. Rationale: Because Zone 0 uses integer arithmetic exclusively, and integers are associative, there are no sources of nondeterminism in the computational stack. Floating-point rounding, non-associativity, and nondeterministic reduction orders are absent by design. Supporting Evidence: Existing code produces bit-identical outputs across 329,176 test vectors. This has been verified by cryptographic hash comparison. Test: Reviewers will verify that the code produces identical outputs across multiple runs, across different hardware, and across different compilation environments. H2 (Primary): Energy Reduction Hypothesis: Zone 0 achieves a ≥ 10⁸× reduction in energy consumption compared to floating-point AI systems for equivalent learning tasks. Rationale: The Banach contraction learning rule executes in 5 integer instructions and 3 clock cycles. Full training runs have been measured at 0.414 joules. Published estimates for large transformer training range from 10⁸ to 10¹⁰ joules. Supporting Evidence: RAPL-instrumented measurements show 0.414 joules for a complete training run. Energy breakdown by operation is documented in the IEEE standard. Test: Reviewers will replicate the energy measurements and compare to published baselines for equivalent workloads. H3 (Secondary): Memory Bandwidth Reduction Hypothesis: Zone 0's quaternary (2-bit) weight system moves 16× fewer bytes than float32, with no loss in learning capability. Rationale: 2-bit weights require 0.25 bytes each, compared to 4 bytes for float32. The Banach contraction learning rule operates directly on these 2-bit values. Supporting Evidence: The quaternary weight system is implemented and operational. Accuracy comparisons to float32 are documented. Test: Reviewers will replicate the accuracy comparisons and measure memory bandwidth utilization. H4 (Secondary): Cryptographic Chain of Custody Hypothesis: Zone 0's deterministic, integer-only architecture enables cryptographic chain-of-custody for IP provenance that is legally defensible. Rationale: Deterministic computation means every operation can be hashed and verified. The ROOT_SEAL.json mechanism provides a cryptographic signature chain. Supporting Evidence: The cryptographic chain-of-custody implementation is documented in the Phi-Net Data Schema record and the IEEE standard. Test: Reviewers will audit the cryptographic implementation and assess its legal defensibility. H5 (Secondary): Generalizability Hypothesis: Zone 0 is capable of general-purpose computing, not just specialized AI workloads. Rationale: The eight-layer stack from voltage to symbolic language is Turing-complete by construction. Supporting Evidence: The stack architecture is mapped across 8 subdomains and 36 leaves, covering arithmetic, control flow, memory, and I/O. Test: Reviewers will assess the completeness of the stack and identify any missing primitives. 3. Methods Participants/Sample Category Description Reviewers Domain experts in computer architecture, numerical computing, AI, energy efficiency, and cryptography Target sample Minimum 5 reviews, ideally 10-20 reviews Recruitment ResearchHub community; direct outreach to experts via email; sharing with existing Zenodo audience Inclusion Criteria for Reviewers: Demonstrated expertise in relevant domain Willing to provide public, constructive feedback No conflict of interest Exclusion Criteria: Anonymous or unverified accounts Non-constructive feedback (ad hominem, dismissal without evidence) Materials and Procedures Materials Material Source DOI/Link IEEE Standard for Substrate-Native Integer Computing (Zone 0) Zenodo 10.5281/zenodo.21514923 NUMEN: PI-Origin Architecture and Design Zenodo 10.5281/zenodo.20045701 NUMEN: Visualizations, Specifications, and Applications Zenodo 10.5281/zenodo.20046158 Aurum/QuatOS–PhiNet: Self-Regulating Digital Organism Zenodo 10.5281/zenodo.20786536 NUMEN_OS Zenodo 10.5281/zenodo.21458931 Bare Metal Operating Systems: Integer-only Q32.32 Zenodo 10.5281/zenodo.21479299 Fun With Quantum Computing Zenodo 10.5281/zenodo.22096536 Podcast episodes (audio summaries) Zenodo 10.5281/zenodo.22283557 Source code Included in each record Publicly accessible Procedures Submission: All materials will be submitted to ResearchHub as a Crowd Review proposal Review Invitation: Reviewers will be invited via ResearchHub, direct email, and social channels Review Period: 14-day open review window (ResearchHub standard) Review Criteria: Reviewers will score on a 1-5 scale across: Novelty and innovation Rigor and methodology Significance and impact Open science commitment Response: All reviews will be responded to publicly and constructively Revision: Based on valid criticisms, materials will be revised and re-submitted Planned Analyses For Each Hypothesis: Hypothesis Test Success Criterion H1 (Determinism) Replicate code on different hardware 100% bit-identical outputs H2 (Energy) Replicate RAPL measurements ≤ 1 joule per training run H3 (Memory) Measure bandwidth utilization ≥ 10× reduction vs. float32 H4 (Crypto) Audit chain-of-custody No cryptographic vulnerabilities H5 (Generalizability) Assess stack completeness No missing primitives Interpretation Regardless of Outcome: If hypotheses hold: The work is validated. Publish results widely, advocate for adoption. If hypotheses fail: The flaws are identified. Fix them and repeat. Document everything. If reviewers disagree: The debate is public. The data is public. Science proceeds. This is the win-win. Ethics and Data Management Ethical Approval: Not required. No human or animal subjects. All data is synthetic or publicly available. Confidentiality: All review data will be public. No sensitive information is involved. Data Sharing: All data is already shared. All future data will be shared immediately. Archiving: All materials are archived with DOIs on Zenodo. 4. Pilot Data The following data already exists and demonstrates feasibility. This is not pilot data for a future study—it is data from the completed work. Energy Measurements Run Energy (Joules) 1 0.412 2 0.415 3 0.413 4 0.414 5 0.416 6 0.413 7 0.414 8 0.415 9 0.414 10 0.413 Mean: 0.414 joules Standard deviation: 0.001 95% CI: [0.413, 0.415] Reproducibility Verification Test Runs Identical? Bit-exact output verification 329,176 test vectors 100% Traction on Zenodo As of September 2026: Metric Value Total downloads (top 7 records) 1,200+ Download-to-view ratio 2.2:1 Records published 61 Months active 4 This traction demonstrates that the work is already reaching an audience. The download-to-view ratio indicates the audience is engaged and serious—they are downloading and consuming, not just browsing. The move to ResearchHub is the natural next step. Current Resources Resource Status Bank account $0 Equipment One old laptop Code Complete and public Publications 61 DOIs on Zenodo Audience 1,200+ downloads Institutional backing None Formal training in CS None Time invested 15 months This proposal is not a grant request for a startup. It is a request for peer review, with a modest budget to incentivize high-quality engagement. 5. Budget This is the minimum viable budget to make the challenge work. The goal is to get serious, rigorous reviews from domain experts. The budget is to incentivize that engagement. Reviewer Bounties 10 reviewers at $50 each $500 Incentivizes high-quality, detailed reviews ResearchHub Fee Platform fee $0 ResearchHub takes no fee for crowdfunding Hosting Zenodo DOI maintenance $0 Already covered Total $500 Alternative: $0 Budget Option If the goal is solely peer review without incentivized bounties, the proposal can run with $0 funding. Reviews will still happen—they just may be fewer and slower. The power of the challenge does not depend on funding. It depends on the quality of the work. 6. References Zenodo (2026). IEEE Standard for Substrate-Native Integer Computing (Zone 0). DOI: 10.5281/zenodo.21514923 Zenodo (2026). NUMEN: PI-Origin Architecture and Design. DOI: 10.5281/zenodo.20045701 Zenodo (2026). NUMEN: Visualizations, Specifications, and Applications. DOI: 10.5281/zenodo.20046158 Zenodo (2026). Aurum/QuatOS–PhiNet: A Self-Regulating Digital Organism on Bare Metal. DOI: 10.5281/zenodo.20786536 Zenodo (2026). NUMEN_OS. DOI: 10.5281/zenodo.21458931 Zenodo (2026). Bare Metal Operating Systems: The power of integer only q32.32. DOI: 10.5281/zenodo.21479299 Zenodo (2026). FUN WITH QUANTUM COMPUTING. DOI: 10.5281/zenodo.22096536 Zenodo (2026). Random NUMEN OS audio clips. DOI: 10.5281/zenodo.22283557 IEEE (2019). IEEE Standard for Floating-Point Arithmetic (IEEE Std 754™-2019). IEEE Computer Society. Landauer, R. (1961). Irreversibility and Heat Generation in the Computing Process. IBM Journal of Research and Development, 5(3), 183-191. Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and Policy Considerations for Deep Learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645-3650. Patterson, D., et al. (2021). Carbon Emissions and Large Neural Network Training. arXiv:2104.10350. Banach, S. (1922). Sur les opérations dans les ensembles abstraits et leur application aux équations intégrales. Fundamenta Mathematicae, 3, 133-181. 8a:T1ddf0,{"type":"doc","content":[{"type":"heading","attrs":{"id":"3243eda8-571b-4c7d-ad89-5275aea8a1ec","data-toc-id":"3243eda8-571b-4c7d-ad89-5275aea8a1ec","textAlign":null,"level":1},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Zone 0 Challenge – Prove Me Wrong"}]},{"type":"heading","attrs":{"id":"8b5a972a-dc09-44da-b784-422a31ef9dc4","data-toc-id":"8b5a972a-dc09-44da-b784-422a31ef9dc4","textAlign":"left","level":2},"content":[{"type":"text","text":"1. 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These are not inevitable trade-offs—they are consequences of architectural choices."}]},{"type":"paragraph","attrs":{"id":"90ce7659-7ccf-4d81-81da-78880d361e24","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zone 0 is a complete, integer-only computational substrate from silicon voltage to symbolic language. It uses no IEEE-754 floating-point operations, no operating system abstractions, and no nondeterministic elements. The arithmetic floor is 146 lines of C (Q32.32 fixed-point). Training runs measure 0.414 joules—approximately 450,000,000× less energy than published estimates for large transformer training."}]},{"type":"paragraph","attrs":{"id":"c51014b2-bad4-4aa0-a4a5-0bef6304e280","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Research Plan"}]},{"type":"paragraph","attrs":{"id":"abc18e6f-7076-4337-9fa0-12f7fdaba290","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"This proposal does not seek funding for new research. It seeks funding for rigorous, open peer review of existing work that is already published, code-complete, and measured. The plan is simple:"}]},{"type":"orderedList","attrs":{"start":1,"type":null},"content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"b9ee6275-ead1-48df-a4dd-437db2218404","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Submit the IEEE standard document and supporting materials to ResearchHub for Crowd Review"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"22f3e075-8b22-4869-b6b6-04dce62aef7c","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Use funding to incentivize high-quality, detailed reviews from domain experts"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"39071451-28a1-4cf8-be65-f0fd110c0867","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Document all findings publicly, regardless of outcome"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"50b33710-d91d-451e-885a-69cc14703902","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"If the work holds up, use the validated results to advocate for energy-efficient computing"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"c845ceac-50a3-42b7-974b-0b4a74b92e03","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"If flaws are found, fix them and repeat"}]}]}]},{"type":"paragraph","attrs":{"id":"22c8df2e-0bf9-4e2a-9259-0163baba2cda","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Team and Facilities"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"076adefb-8592-48c3-b61a-83aaa1f28b5b","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Principal Investigator:"},{"type":"text","text":" Dan (independent researcher, 15 months on this project)"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"50336ee3-6192-44d1-b420-efcf800907fc","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Facilities:"},{"type":"text","text":" One old laptop, 0 dollars in bank account, and publicly available code"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"97e4d9af-db43-4f26-9c58-be947fe9dd57","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Ethics:"},{"type":"text","text":" No human or animal subjects; all data is synthetic or publicly available"}]}]}]},{"type":"paragraph","attrs":{"id":"d8160962-09d8-4924-a6b2-478a63435b0f","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Estimated Timeline"}]},{"type":"table","attrs":{"id":"d14c683a-ecc1-44ab-bc41-38e01ad3f2d9"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"d94c2f93-0b9b-4526-8dec-e4ba9d698767","class":null,"textAlign":null},"content":[{"type":"text","text":"Phase 1"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"c9542d68-7f01-4b02-b68c-42bec68bdca5","class":null,"textAlign":null},"content":[{"type":"text","text":"Week 1"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"87f30cc1-9f86-4f2b-83b8-45fceecee9d5","class":null,"textAlign":null},"content":[{"type":"text","text":"Submit proposal and materials to ResearchHub"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"5b5d2f4e-7be1-40e1-8d68-817bc67bdbf5","class":null,"textAlign":null},"content":[{"type":"text","text":"Phase 2"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"9d32e239-473d-49af-b713-f2ccc29ab4a5","class":null,"textAlign":null},"content":[{"type":"text","text":"Weeks 2"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"177b0e2f-9dba-41cb-b44e-899aa9f767df","class":null,"textAlign":null},"content":[{"type":"text","text":"Open peer review period"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"1df61a0f-59af-44aa-8058-dc96f130c76f","class":null,"textAlign":null},"content":[{"type":"text","text":"Phase 3"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"20da5d62-d7f2-40af-8a9c-01218801aa52","class":null,"textAlign":null},"content":[{"type":"text","text":"Weeks 3-4"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"144633a2-fd28-405c-acb0-1271b6c56220","class":null,"textAlign":null},"content":[{"type":"text","text":"Compile and respond to reviews"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"bfa110ff-7a09-4bab-bd7a-88bebe1b08b0","class":null,"textAlign":null},"content":[{"type":"text","text":"Phase 4"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"11878dc4-7d18-4032-8709-7f78b5b9ec96","class":null,"textAlign":null},"content":[{"type":"text","text":"Weeks 5-10"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"4ae3e567-7d5a-4255-8934-2bc66fa9976c","class":null,"textAlign":null},"content":[{"type":"text","text":"Publish final validated results"}]}]}]}]},{"type":"paragraph","attrs":{"id":"3a56cbf4-294f-48fd-8416-cdf53bfe7df0","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Data Sharing Commitment"}]},{"type":"paragraph","attrs":{"id":"745192d1-6556-4df4-92a5-04c73d77d8be","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"All code, measurements, telemetry, and supporting materials are already publicly available with DOIs on Zenodo. All future results will be shared immediately and openly. Data sharing is not a future promise—it is already the practice."}]},{"type":"paragraph","attrs":{"id":"c11c30da-de63-4d10-8b2d-0986b71feb55","class":"ds-markdown-paragraph","textAlign":null}},{"type":"heading","attrs":{"id":"5ea45245-9e02-437c-9f9e-8b6b9cef22d9","data-toc-id":"5ea45245-9e02-437c-9f9e-8b6b9cef22d9","textAlign":"left","level":2},"content":[{"type":"text","text":"2. Introduction"}]},{"type":"paragraph","attrs":{"id":"3ce8331f-99dc-4179-a94f-e53e160145ad","class":null,"textAlign":"left"},"content":[{"type":"text","text":"This proposal does not seek funding for new research. It seeks funding for rigorous, open peer "},{"type":"text","marks":[{"type":"bold"}],"text":"Theoretical Background"}]},{"type":"paragraph","attrs":{"id":"05542544-d126-45a9-ba70-8e68f5774069","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Current AI infrastructure is built on IEEE-754 floating-point arithmetic. This standard was designed for scientific computing, numerical simulation, and graphics—not for AI. Its defining characteristic for AI is a bug: floating-point addition is non-associative. This means "},{"type":"text","marks":[{"type":"code"}],"text":"(a + b) + c ≠ a + (b + c)"},{"type":"text","text":"."}]},{"type":"paragraph","attrs":{"id":"554c6a81-5735-4523-9a29-8c7748b2485c","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"When multiplied across thousands of GPUs with nondeterministic reduction orders, results are unreproducible by construction. The industry has accepted this as a cost of doing business. The costs are now existential."}]},{"type":"heading","attrs":{"id":"540fb583-97e2-46ee-b8b2-6dbabab376f9","data-toc-id":"540fb583-97e2-46ee-b8b2-6dbabab376f9","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The Three Crises"}]},{"type":"paragraph","attrs":{"id":"cdfa4269-7913-4be2-b1de-ae399343292c","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The Energy Crisis"}]},{"type":"paragraph","attrs":{"id":"cc31949a-b263-4bfe-be56-d14c0326d565","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Training a single large language model consumes megawatt-scale power over months. Global AI compute approaches 565 TWh annually—equivalent to the electricity consumption of entire nations. This is not sustainable."}]},{"type":"paragraph","attrs":{"id":"d2f6376b-020a-4f4d-a18f-fb993f8ebe00","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The Reproducibility Crisis"}]},{"type":"paragraph","attrs":{"id":"ddaaed91-3663-48f1-b462-eb3882246611","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Because floating-point is non-associative and GPU operations are nondeterministic, no two training runs produce bit-identical results. This means AI research is not reproducible by design. Papers cannot be independently verified."}]},{"type":"paragraph","attrs":{"id":"6b5ea7ae-60e9-435c-b440-c4cf598947e4","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The Intellectual Property Crisis"}]},{"type":"paragraph","attrs":{"id":"1837808c-f571-4d73-9840-5338a2625041","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Without deterministic provenance, ownership of AI-generated outputs is legally indefensible. Who owns what the black box produces? The answer is: nobody can prove it, because nobody can trace the chain of custody."}]},{"type":"heading","attrs":{"id":"546cd993-68a3-42c8-9213-08fe2de725b6","data-toc-id":"546cd993-68a3-42c8-9213-08fe2de725b6","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The Zone 0 Alternative"}]},{"type":"paragraph","attrs":{"id":"a1a58eef-416e-4469-8c3a-9adc7b5dcf89","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zone 0 is a complete alternative computational substrate built on integers. Integers are associative, deterministic, and verifiable. The stack has eight layers:"}]},{"type":"paragraph","attrs":{"id":"8da01c11-a27b-4dd9-b63d-3ad16adefb55","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Layer"}]},{"type":"paragraph","attrs":{"id":"0568f08a-d7f0-4f78-9e3f-a28bdab16ad4","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Description"}]},{"type":"table","attrs":{"id":"68c9d810-87c2-42d0-888b-e189501c78ec"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"25894a2e-7452-44b9-a868-f418835e6b0d","class":null,"textAlign":null},"content":[{"type":"text","text":"1"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"75170f17-29d9-417b-96e5-0619d58dad3e","class":null,"textAlign":null},"content":[{"type":"text","text":"Silicon voltage"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"bdd950a2-e94a-4b2c-9531-7ddf14a5a847","class":null,"textAlign":null},"content":[{"type":"text","text":"2"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"379c461b-c700-4e3a-b955-c3018bdfad19","class":null,"textAlign":null},"content":[{"type":"text","text":"Voltage to Q32.32 integer"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"483d010f-580b-4e96-8309-ee7e52b9e11c","class":null,"textAlign":null},"content":[{"type":"text","text":"3"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"808d7cf2-dc7e-4ff2-bd9b-2a748fad9cfe","class":null,"textAlign":null},"content":[{"type":"text","text":"Integer-only arithmetic library (146 lines of C)"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"70317c48-920e-4d41-be29-808353a68576","class":null,"textAlign":null},"content":[{"type":"text","text":"4"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"2eaca2d2-cf63-4749-8e17-d53b2a59ec78","class":null,"textAlign":null},"content":[{"type":"text","text":"CORDIC trigonometry (28 iterations, shift+add only)"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"35b30577-3197-4827-9df6-b5751bbdcfb3","class":null,"textAlign":null},"content":[{"type":"text","text":"5"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"491d028f-1896-4aff-8ee0-08dc9b4a0a0d","class":null,"textAlign":null},"content":[{"type":"text","text":"Integer Newton square root (128-bit)"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"1bbe9f15-56b9-478f-88c8-29ab1cbf26aa","class":null,"textAlign":null},"content":[{"type":"text","text":"6"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"8cf1fb69-46e7-4473-b014-2e8a2e6c5910","class":null,"textAlign":null},"content":[{"type":"text","text":"Learning rule: Banach contraction (5 instructions, 3 cycles)"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"57935d5e-19fe-4ece-9fe6-a99964bcc9f9","class":null,"textAlign":null},"content":[{"type":"text","text":"7"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"03d4c220-babc-4362-b232-5a408bfdd240","class":null,"textAlign":null},"content":[{"type":"text","text":"Quaternary (2-bit) weight system"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"ec567d56-9ff9-4dca-bdf7-251ed00923fb","class":null,"textAlign":null},"content":[{"type":"text","text":"8"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"8d7b4266-0026-445f-8d1f-cb4a1c8bd8aa","class":null,"textAlign":null},"content":[{"type":"text","text":"256-symbol integer bytecode to symbolic language"}]}]}]}]},{"type":"paragraph","attrs":{"id":"163b94cc-a14e-4d8d-8ed4-2eb139a0f565","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"What Already Exists"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"638dd9f6-5e28-4408-bc73-e0963e51eb2e","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Complete working code: 484 source files, 36 leaves, 8 subdomains"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"ac885590-b2de-4506-947e-7ff12aa192dc","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Measured training energy: 0.414 joules (RAPL-instrumented)"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"40029200-836e-496d-afd1-5c6e77d8d424","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Determinism verification: Bit-exact by construction"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"80c247c9-f441-456e-849c-1fde6ee3f1f7","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Memory bandwidth: 16× less than float32 (2-bit vs. 32-bit)"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"c0e8ef56-b432-46a8-a6ce-34f4be38816b","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Published IEEE standard draft"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"f2ea6e46-6c08-427b-8c93-e777146b9fda","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"All materials public with DOIs on Zenodo"}]}]}]},{"type":"paragraph","attrs":{"id":"03b3a51a-5002-4133-aad1-e6a708a160af","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"What This Proposal Asks For"}]},{"type":"paragraph","attrs":{"id":"8311c761-969b-45a0-bf33-e91bcf01cb30","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Not permission. Not institutional backing. Not a salary. "},{"type":"text","marks":[{"type":"bold"}],"text":"Peer review."},{"type":"text","text":" Scrutiny. The chance to have the work torn apart by smart people. If it holds up, the energy argument becomes undeniable. If it doesn't, we find the flaw and fix it."}]},{"type":"paragraph","attrs":{"id":"d5253faa-b383-454e-943c-887b84c6be40","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Either way, science wins."}]},{"type":"heading","attrs":{"id":"232b8cff-c58a-4639-93c6-272359e80e68","data-toc-id":"232b8cff-c58a-4639-93c6-272359e80e68","textAlign":"left","level":3},"content":[{"type":"text","text":"Hypotheses"}]},{"type":"heading","attrs":{"id":"77aa2be6-8dea-4d13-88b4-e519f53e25d1","data-toc-id":"77aa2be6-8dea-4d13-88b4-e519f53e25d1","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"H1 (Primary): Determinism by Construction"}]},{"type":"paragraph","attrs":{"id":"8268aa97-a4d6-4fc6-bd3a-a3d4866beecf","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Hypothesis:"},{"type":"text","text":" Zone 0 produces bit-exact deterministic outputs across all operations, with 100% reproducibility between runs."}]},{"type":"paragraph","attrs":{"id":"50bb7ab3-6c9b-42dc-8103-c2f8d5026662","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Rationale:"},{"type":"text","text":" Because Zone 0 uses integer arithmetic exclusively, and integers are associative, there are no sources of nondeterminism in the computational stack. Floating-point rounding, non-associativity, and nondeterministic reduction orders are absent by design."}]},{"type":"paragraph","attrs":{"id":"02ed9be0-aca9-44a5-95ba-c581de87b5d3","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Supporting Evidence:"},{"type":"text","text":" Existing code produces bit-identical outputs across 329,176 test vectors. This has been verified by cryptographic hash comparison."}]},{"type":"paragraph","attrs":{"id":"c2c1100e-2ded-4902-89e7-99c4226884c8","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Test:"},{"type":"text","text":" Reviewers will verify that the code produces identical outputs across multiple runs, across different hardware, and across different compilation environments."}]},{"type":"heading","attrs":{"id":"40ceaeee-179a-4060-8518-867609fe22e5","data-toc-id":"40ceaeee-179a-4060-8518-867609fe22e5","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"H2 (Primary): Energy Reduction"}]},{"type":"paragraph","attrs":{"id":"ffa11f5e-e3c2-4759-aedc-e9426b37caa5","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Hypothesis:"},{"type":"text","text":" Zone 0 achieves a ≥ 10⁸× reduction in energy consumption compared to floating-point AI systems for equivalent learning tasks."}]},{"type":"paragraph","attrs":{"id":"318bc9ce-806b-438a-9068-4a1d6b2bcfdd","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Rationale:"},{"type":"text","text":" The Banach contraction learning rule executes in 5 integer instructions and 3 clock cycles. Full training runs have been measured at 0.414 joules. Published estimates for large transformer training range from 10⁸ to 10¹⁰ joules."}]},{"type":"paragraph","attrs":{"id":"6002a32b-dc8d-452d-a8a2-1b8163f363bf","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Supporting Evidence:"},{"type":"text","text":" RAPL-instrumented measurements show 0.414 joules for a complete training run. Energy breakdown by operation is documented in the IEEE standard."}]},{"type":"paragraph","attrs":{"id":"c142d330-fefc-454d-a9dd-e544231ff615","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Test:"},{"type":"text","text":" Reviewers will replicate the energy measurements and compare to published baselines for equivalent workloads."}]},{"type":"heading","attrs":{"id":"8f0cdff4-8242-4534-8d74-ff690643cdf4","data-toc-id":"8f0cdff4-8242-4534-8d74-ff690643cdf4","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"H3 (Secondary): Memory Bandwidth Reduction"}]},{"type":"paragraph","attrs":{"id":"ca164114-e877-4116-80b2-fde00610dfe1","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Hypothesis:"},{"type":"text","text":" Zone 0's quaternary (2-bit) weight system moves 16× fewer bytes than float32, with no loss in learning capability."}]},{"type":"paragraph","attrs":{"id":"284a0850-8df4-47c3-9e83-602532781a92","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Rationale:"},{"type":"text","text":" 2-bit weights require 0.25 bytes each, compared to 4 bytes for float32. The Banach contraction learning rule operates directly on these 2-bit values."}]},{"type":"paragraph","attrs":{"id":"f24f7655-43e1-4d12-beb5-3029de60fe99","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Supporting Evidence:"},{"type":"text","text":" The quaternary weight system is implemented and operational. Accuracy comparisons to float32 are documented."}]},{"type":"paragraph","attrs":{"id":"be151f50-1925-4640-b5c9-e7b536a6383b","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Test:"},{"type":"text","text":" Reviewers will replicate the accuracy comparisons and measure memory bandwidth utilization."}]},{"type":"heading","attrs":{"id":"b3e08b88-07a1-49e8-adf0-add2f473900d","data-toc-id":"b3e08b88-07a1-49e8-adf0-add2f473900d","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"H4 (Secondary): Cryptographic Chain of Custody"}]},{"type":"paragraph","attrs":{"id":"286f2332-aa53-4a96-a0f3-1c0e26edd78e","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Hypothesis:"},{"type":"text","text":" Zone 0's deterministic, integer-only architecture enables cryptographic chain-of-custody for IP provenance that is legally defensible."}]},{"type":"paragraph","attrs":{"id":"4d7fd1b6-edc9-4419-b2be-ae403dd6b292","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Rationale:"},{"type":"text","text":" Deterministic computation means every operation can be hashed and verified. The ROOT_SEAL.json mechanism provides a cryptographic signature chain."}]},{"type":"paragraph","attrs":{"id":"396dd090-186d-4009-9e8e-de40062729d8","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Supporting Evidence:"},{"type":"text","text":" The cryptographic chain-of-custody implementation is documented in the Phi-Net Data Schema record and the IEEE standard."}]},{"type":"paragraph","attrs":{"id":"f8462901-0145-48e4-b3bc-dec257b13990","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Test:"},{"type":"text","text":" Reviewers will audit the cryptographic implementation and assess its legal defensibility."}]},{"type":"heading","attrs":{"id":"6f919d20-fcc4-49b5-942d-2647749e345e","data-toc-id":"6f919d20-fcc4-49b5-942d-2647749e345e","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"H5 (Secondary): Generalizability"}]},{"type":"paragraph","attrs":{"id":"08cce9b6-f92a-41ee-a94f-e51c15d4ffc4","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Hypothesis:"},{"type":"text","text":" Zone 0 is capable of general-purpose computing, not just specialized AI workloads."}]},{"type":"paragraph","attrs":{"id":"c272f372-b0b9-4249-9353-6abede7b2adc","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Rationale:"},{"type":"text","text":" The eight-layer stack from voltage to symbolic language is Turing-complete by construction."}]},{"type":"paragraph","attrs":{"id":"7f022dcc-0c6a-4db4-9a60-675e0905d588","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Supporting Evidence:"},{"type":"text","text":" The stack architecture is mapped across 8 subdomains and 36 leaves, covering arithmetic, control flow, memory, and I/O."}]},{"type":"paragraph","attrs":{"id":"470af063-e0f8-44f6-bd9d-4c08d1b29afe","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Test:"},{"type":"text","text":" Reviewers will assess the completeness of the stack and identify any missing primitives."}]},{"type":"heading","attrs":{"id":"e11694d1-e11e-4c08-8a03-af9639b853b3","data-toc-id":"e11694d1-e11e-4c08-8a03-af9639b853b3","textAlign":"left","level":2},"content":[{"type":"text","text":"3. Methods"}]},{"type":"heading","attrs":{"id":"43011cff-dd14-49ed-95f4-d3e4074be7e1","data-toc-id":"43011cff-dd14-49ed-95f4-d3e4074be7e1","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Participants/Sample"}]},{"type":"paragraph","attrs":{"id":"1ad3ec5d-24a0-4a39-8b62-4e6295e41831","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Category Description"}]},{"type":"table","attrs":{"id":"12f5fa6b-5285-4bb9-a211-4ac675d0be3f"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"2fc8ba4c-93f3-4e85-864b-b5dfac62047a","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Reviewers"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); 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font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"150734bc-60d2-4cbe-8313-6e263d800658","class":null,"textAlign":null},"content":[{"type":"text","text":"H5 (Generalizability)"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"c6d51afa-55a9-452a-b885-327f982cc187","class":null,"textAlign":null},"content":[{"type":"text","text":"Assess stack completeness"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); 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Publish results widely, advocate for adoption."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"edfb6575-dc74-47c9-b82d-9878bb02817f","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"If hypotheses fail:"},{"type":"text","text":" The flaws are identified. Fix them and repeat. Document everything."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"c361ed59-54b4-41c4-a6f7-0ed6a055dcd8","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"If reviewers disagree:"},{"type":"text","text":" The debate is public. The data is public. Science proceeds."}]}]}]},{"type":"paragraph","attrs":{"id":"50c2e78b-ee31-488f-b369-e21c7a7372b3","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"This is the win-win."}]},{"type":"heading","attrs":{"id":"917bbdf9-1cda-4c24-9d14-8f82685ceca2","data-toc-id":"917bbdf9-1cda-4c24-9d14-8f82685ceca2","textAlign":"left","level":3},"content":[{"type":"text","text":"Ethics and Data Management"}]},{"type":"paragraph","attrs":{"id":"27a6041f-fc39-4e39-a086-b5c80a036d2b","class":null,"textAlign":"left"},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Ethical Approval:"},{"type":"text","text":" Not required. No human or animal subjects. All data is synthetic or publicly available."}]},{"type":"paragraph","attrs":{"id":"f158f20f-2652-4325-8b10-b144a527b86f","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Confidentiality:"},{"type":"text","text":" All review data will be public. No sensitive information is involved."}]},{"type":"paragraph","attrs":{"id":"614e6eda-a592-4400-b550-a1737419d8da","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Data Sharing:"},{"type":"text","text":" All data is already shared. All future data will be shared immediately."}]},{"type":"paragraph","attrs":{"id":"fcd6b153-d5f5-4287-8ee0-60150371fb49","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Archiving:"},{"type":"text","text":" All materials are archived with DOIs on Zenodo."}]},{"type":"heading","attrs":{"id":"97f7b60d-7838-4036-abf3-eb233d2ba57b","data-toc-id":"97f7b60d-7838-4036-abf3-eb233d2ba57b","textAlign":"left","level":2},"content":[{"type":"text","text":"4. Pilot Data "}]},{"type":"paragraph","attrs":{"id":"f637b338-b596-42ae-b12b-a13f4051f8df","class":null,"textAlign":"left"},"content":[{"type":"text","text":"The following data already exists and demonstrates feasibility. This is not pilot data for a future study—it is data from the completed work."}]},{"type":"heading","attrs":{"id":"48b1a5b0-d768-4345-bf52-7d2f5aa11c86","data-toc-id":"48b1a5b0-d768-4345-bf52-7d2f5aa11c86","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Energy Measurements"}]},{"type":"paragraph","attrs":{"id":"c067ad6e-ec39-45ee-94ae-69dc6aa195c3","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Run Energy (Joules)"}]},{"type":"table","attrs":{"id":"cd71101a-b51f-43c7-9439-84e155f62abd"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"cbd50d20-4f5c-49ba-88f8-debb8baef20e","class":null,"textAlign":null},"content":[{"type":"text","text":"1"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); 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font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"5935c127-052c-494e-9210-61fafe2b8fa3","class":null,"textAlign":null},"content":[{"type":"text","text":"Months active"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"9a27e642-56e9-4588-9ef9-90eb3dd0442d","class":null,"textAlign":null},"content":[{"type":"text","text":"4"}]}]}]}]},{"type":"paragraph","attrs":{"id":"8604dd94-f40a-465e-86b2-d81b0bae5f66","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"This traction demonstrates that the work is already reaching an audience. The download-to-view ratio indicates the audience is engaged and serious—they are downloading and consuming, not just browsing."}]},{"type":"paragraph","attrs":{"id":"2bbaf06f-c5f5-46a8-82d7-d004d95dc344","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The move to ResearchHub is the natural next step."}]},{"type":"heading","attrs":{"id":"3a689046-d8c2-487b-8acd-1ff8aae725a9","data-toc-id":"3a689046-d8c2-487b-8acd-1ff8aae725a9","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Current Resources"}]},{"type":"paragraph","attrs":{"id":"47dd9051-18be-476d-87b4-8de90d30f569","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Resource"}]},{"type":"paragraph","attrs":{"id":"19a6b2c7-a60e-4d02-95df-c0db6afd1597","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Status"}]},{"type":"table","attrs":{"id":"0729b3ee-13b4-489f-982d-eef38ed9404f"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); 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font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"f314474a-432a-4719-b24e-65db1044f8e2","class":null,"textAlign":null},"content":[{"type":"text","text":"Institutional backing"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"5074fed5-bbcd-42db-bd3a-df747076d347","class":null,"textAlign":null},"content":[{"type":"text","text":"None"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"b21b3148-3d21-4e4d-9ea0-2ff7adadc963","class":null,"textAlign":null},"content":[{"type":"text","text":"Formal training in CS"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"8aa61525-8e96-4f48-8bdd-3224340cad07","class":null,"textAlign":null},"content":[{"type":"text","text":"None"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"838dc915-fc5b-49b9-b61f-bce4dd8ac833","class":null,"textAlign":null},"content":[{"type":"text","text":"Time invested"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"f2e71191-fe76-4167-a6e8-045a37bed92b","class":null,"textAlign":null},"content":[{"type":"text","text":"15 months"}]}]}]}]},{"type":"paragraph","attrs":{"id":"f1f8f1c9-e6c6-479c-88ff-9513ad7a6e03","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"This proposal is not a grant request for a startup. It is a request for peer review, with a modest budget to incentivize high-quality engagement."}]},{"type":"heading","attrs":{"id":"03be0d25-7b4c-41e6-a392-3a83ffd09092","data-toc-id":"03be0d25-7b4c-41e6-a392-3a83ffd09092","textAlign":"left","level":2},"content":[{"type":"text","text":"5. Budget"}]},{"type":"paragraph","attrs":{"id":"c5c5fd2a-720d-4e5c-a091-587da752da40","class":null,"textAlign":"left"},"content":[{"type":"text","text":"This is the minimum viable budget to make the challenge work. The goal is to get serious, rigorous reviews from domain experts. The budget is to incentivize that engagement."}]},{"type":"table","attrs":{"id":"af65eaa5-5d6b-4284-ace2-3fd1d4a39447"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"db20d720-6dfc-4ee4-83d3-59cf47cda79b","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Reviewer Bounties"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"f9edca88-62f4-48a7-9ebf-33d2fb923f6b","class":null,"textAlign":null},"content":[{"type":"text","text":"10 reviewers at $50 each"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"50419121-899e-4648-86e7-740258095d8a","class":null,"textAlign":null},"content":[{"type":"text","text":"$500"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"128be8cd-bafa-4afb-8b03-d20c03dd8616","class":null,"textAlign":null},"content":[{"type":"text","text":"Incentivizes high-quality, detailed reviews"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"56bad3d7-cb60-43b7-9964-57a99de50660","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"ResearchHub Fee"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"ff1fda94-11ac-4ec6-ac6c-f8941c7b1b4e","class":null,"textAlign":null},"content":[{"type":"text","text":"Platform fee"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"b6553137-3da3-46a6-bc1b-3816a7e4c3ab","class":null,"textAlign":null},"content":[{"type":"text","text":"$0"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"ec20d8f3-8f0e-44a0-ad5f-c8f3bc14547f","class":null,"textAlign":null},"content":[{"type":"text","text":"ResearchHub takes no fee for crowdfunding"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"7502a227-766f-470d-b0b4-b2fa99e7a733","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Hosting"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"35c1c1c6-604f-423f-9bdf-c91dd9572063","class":null,"textAlign":null},"content":[{"type":"text","text":"Zenodo DOI maintenance"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"63d7bf4e-03db-44e1-bf01-10a31a6e676e","class":null,"textAlign":null},"content":[{"type":"text","text":"$0"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"2629a60f-450e-41ce-b618-f080e51b8e63","class":null,"textAlign":null},"content":[{"type":"text","text":"Already covered"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"d67672b5-63d5-440a-8330-3e5ff79e7fda","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Total"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"d718c035-d291-4c5b-863a-5e643b7ed84d","class":null,"textAlign":null}}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"253789db-fae5-4b78-a513-00b32ab37970","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"$500"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"bef58e89-ea04-481f-b9f9-9c99141388f0","class":null,"textAlign":null}}]}]}]},{"type":"paragraph","attrs":{"id":"a975f37b-b94c-4dfb-829f-e65bb3f4dde9","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Alternative: $0 Budget Option"}]},{"type":"paragraph","attrs":{"id":"cb5a5ba7-2c4f-4bc2-8743-7279275acd46","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"If the goal is solely peer review without incentivized bounties, the proposal can run with $0 funding. Reviews will still happen—they just may be fewer and slower."}]},{"type":"paragraph","attrs":{"id":"a19d6545-87ef-4198-ac29-b4521df133b5","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The power of the challenge does not depend on funding. It depends on the quality of the work."}]},{"type":"heading","attrs":{"id":"48588700-cc9d-4a10-af4c-22e4bad47eec","data-toc-id":"48588700-cc9d-4a10-af4c-22e4bad47eec","textAlign":"left","level":2},"content":[{"type":"text","text":"6. References"}]},{"type":"orderedList","attrs":{"start":1,"type":null},"content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"bff4f406-cecd-44b7-85f2-f2766b8a0314","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). IEEE Standard for Substrate-Native Integer Computing (Zone 0). DOI: 10.5281/zenodo.21514923"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"b67bc40c-9776-4443-9133-535a1177d10e","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). NUMEN: PI-Origin Architecture and Design. DOI: 10.5281/zenodo.20045701"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"47cce284-657a-4794-a64d-d7da5df2e030","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). NUMEN: Visualizations, Specifications, and Applications. DOI: 10.5281/zenodo.20046158"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"b2c563af-4a11-4ac2-bc8e-5fc41f4a8f8b","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). Aurum/QuatOS–PhiNet: A Self-Regulating Digital Organism on Bare Metal. DOI: 10.5281/zenodo.20786536"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"88c83ae4-f9f7-47f0-ba48-df82bb0f922d","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). NUMEN_OS. DOI: 10.5281/zenodo.21458931"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"26f8de14-2360-46ff-8ba6-f6b135750783","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). Bare Metal Operating Systems: The power of integer only q32.32. DOI: 10.5281/zenodo.21479299"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"154ae9a8-f408-4c16-a664-1efc696c1cd8","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). FUN WITH QUANTUM COMPUTING. DOI: 10.5281/zenodo.22096536"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"ef882558-0600-414d-af59-bd527bb13013","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). Random NUMEN OS audio clips. DOI: 10.5281/zenodo.22283557"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"e14445cf-8efc-4427-929b-048ec9f36acc","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"IEEE (2019). IEEE Standard for Floating-Point Arithmetic (IEEE Std 754"},{"type":"emoji","attrs":{"name":"tm"}},{"type":"text","text":"-2019). IEEE Computer Society."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"766d3f1c-7190-4a8d-b371-aedb9778390a","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Landauer, R. (1961). Irreversibility and Heat Generation in the Computing Process. IBM Journal of Research and Development, 5(3), 183-191."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"fa6de0a7-b425-4b51-a8fa-13c8f5961e08","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and Policy Considerations for Deep Learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645-3650."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"292ed384-1c47-4b44-8ae7-9c778d710eab","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Patterson, D., et al. (2021). Carbon Emissions and Large Neural Network Training. arXiv:2104.10350."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"4dc0d715-fe59-44d3-a5d1-8127e7c0aa07","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Banach, S. (1922). Sur les opérations dans les ensembles abstraits et leur application aux équations intégrales. Fundamenta Mathematicae, 3, 133-181."}]}]}]},{"type":"paragraph","attrs":{"id":"a4eee798-59e1-46ef-97e2-76464bc6c1a3","class":null,"textAlign":null}}]}8b:T3c62,Zone 0 Challenge – Prove Me Wrong 1. Abstract Scientific Rationale and Importance The AI industry faces three existential crises: energy consumption (565 TWh annually and growing), reproducibility (floating-point non-associativity makes bit-exact replication impossible by construction), and intellectual property (black-box models cannot provide cryptographic chain-of-custody for training data or outputs). These are not inevitable trade-offs—they are consequences of architectural choices. Zone 0 is a complete, integer-only computational substrate from silicon voltage to symbolic language. It uses no IEEE-754 floating-point operations, no operating system abstractions, and no nondeterministic elements. The arithmetic floor is 146 lines of C (Q32.32 fixed-point). Training runs measure 0.414 joules—approximately 450,000,000× less energy than published estimates for large transformer training. Research Plan This proposal does not seek funding for new research. It seeks funding for rigorous, open peer review of existing work that is already published, code-complete, and measured. The plan is simple: Submit the IEEE standard document and supporting materials to ResearchHub for Crowd Review Use funding to incentivize high-quality, detailed reviews from domain experts Document all findings publicly, regardless of outcome If the work holds up, use the validated results to advocate for energy-efficient computing If flaws are found, fix them and repeat Team and Facilities Principal Investigator: Dan (independent researcher, 15 months on this project) Facilities: One old laptop, 0 dollars in bank account, and publicly available code Ethics: No human or animal subjects; all data is synthetic or publicly available Estimated Timeline Phase 1 Week 1 Submit proposal and materials to ResearchHub Phase 2 Weeks 2 Open peer review period Phase 3 Weeks 3-4 Compile and respond to reviews Phase 4 Weeks 5-10 Publish final validated results Data Sharing Commitment All code, measurements, telemetry, and supporting materials are already publicly available with DOIs on Zenodo. All future results will be shared immediately and openly. Data sharing is not a future promise—it is already the practice. 2. Introduction This proposal does not seek funding for new research. It seeks funding for rigorous, open peer Theoretical Background Current AI infrastructure is built on IEEE-754 floating-point arithmetic. This standard was designed for scientific computing, numerical simulation, and graphics—not for AI. Its defining characteristic for AI is a bug: floating-point addition is non-associative. This means (a + b) + c ≠ a + (b + c). When multiplied across thousands of GPUs with nondeterministic reduction orders, results are unreproducible by construction. The industry has accepted this as a cost of doing business. The costs are now existential. The Three Crises The Energy Crisis Training a single large language model consumes megawatt-scale power over months. Global AI compute approaches 565 TWh annually—equivalent to the electricity consumption of entire nations. This is not sustainable. The Reproducibility Crisis Because floating-point is non-associative and GPU operations are nondeterministic, no two training runs produce bit-identical results. This means AI research is not reproducible by design. Papers cannot be independently verified. The Intellectual Property Crisis Without deterministic provenance, ownership of AI-generated outputs is legally indefensible. Who owns what the black box produces? The answer is: nobody can prove it, because nobody can trace the chain of custody. The Zone 0 Alternative Zone 0 is a complete alternative computational substrate built on integers. Integers are associative, deterministic, and verifiable. The stack has eight layers: Layer Description 1 Silicon voltage 2 Voltage to Q32.32 integer 3 Integer-only arithmetic library (146 lines of C) 4 CORDIC trigonometry (28 iterations, shift+add only) 5 Integer Newton square root (128-bit) 6 Learning rule: Banach contraction (5 instructions, 3 cycles) 7 Quaternary (2-bit) weight system 8 256-symbol integer bytecode to symbolic language What Already Exists Complete working code: 484 source files, 36 leaves, 8 subdomains Measured training energy: 0.414 joules (RAPL-instrumented) Determinism verification: Bit-exact by construction Memory bandwidth: 16× less than float32 (2-bit vs. 32-bit) Published IEEE standard draft All materials public with DOIs on Zenodo What This Proposal Asks For Not permission. Not institutional backing. Not a salary. Peer review. Scrutiny. The chance to have the work torn apart by smart people. If it holds up, the energy argument becomes undeniable. If it doesn't, we find the flaw and fix it. Either way, science wins. Hypotheses H1 (Primary): Determinism by Construction Hypothesis: Zone 0 produces bit-exact deterministic outputs across all operations, with 100% reproducibility between runs. Rationale: Because Zone 0 uses integer arithmetic exclusively, and integers are associative, there are no sources of nondeterminism in the computational stack. Floating-point rounding, non-associativity, and nondeterministic reduction orders are absent by design. Supporting Evidence: Existing code produces bit-identical outputs across 329,176 test vectors. This has been verified by cryptographic hash comparison. Test: Reviewers will verify that the code produces identical outputs across multiple runs, across different hardware, and across different compilation environments. H2 (Primary): Energy Reduction Hypothesis: Zone 0 achieves a ≥ 10⁸× reduction in energy consumption compared to floating-point AI systems for equivalent learning tasks. Rationale: The Banach contraction learning rule executes in 5 integer instructions and 3 clock cycles. Full training runs have been measured at 0.414 joules. Published estimates for large transformer training range from 10⁸ to 10¹⁰ joules. Supporting Evidence: RAPL-instrumented measurements show 0.414 joules for a complete training run. Energy breakdown by operation is documented in the IEEE standard. Test: Reviewers will replicate the energy measurements and compare to published baselines for equivalent workloads. H3 (Secondary): Memory Bandwidth Reduction Hypothesis: Zone 0's quaternary (2-bit) weight system moves 16× fewer bytes than float32, with no loss in learning capability. Rationale: 2-bit weights require 0.25 bytes each, compared to 4 bytes for float32. The Banach contraction learning rule operates directly on these 2-bit values. Supporting Evidence: The quaternary weight system is implemented and operational. Accuracy comparisons to float32 are documented. Test: Reviewers will replicate the accuracy comparisons and measure memory bandwidth utilization. H4 (Secondary): Cryptographic Chain of Custody Hypothesis: Zone 0's deterministic, integer-only architecture enables cryptographic chain-of-custody for IP provenance that is legally defensible. Rationale: Deterministic computation means every operation can be hashed and verified. The ROOT_SEAL.json mechanism provides a cryptographic signature chain. Supporting Evidence: The cryptographic chain-of-custody implementation is documented in the Phi-Net Data Schema record and the IEEE standard. Test: Reviewers will audit the cryptographic implementation and assess its legal defensibility. H5 (Secondary): Generalizability Hypothesis: Zone 0 is capable of general-purpose computing, not just specialized AI workloads. Rationale: The eight-layer stack from voltage to symbolic language is Turing-complete by construction. Supporting Evidence: The stack architecture is mapped across 8 subdomains and 36 leaves, covering arithmetic, control flow, memory, and I/O. Test: Reviewers will assess the completeness of the stack and identify any missing primitives. 3. Methods Participants/Sample Category Description Reviewers Domain experts in computer architecture, numerical computing, AI, energy efficiency, and cryptography Target sample Minimum 5 reviews, ideally 10-20 reviews Recruitment ResearchHub community; direct outreach to experts via email; sharing with existing Zenodo audience Inclusion Criteria for Reviewers: Demonstrated expertise in relevant domain Willing to provide public, constructive feedback No conflict of interest Exclusion Criteria: Anonymous or unverified accounts Non-constructive feedback (ad hominem, dismissal without evidence) Materials and Procedures Materials Material Source DOI/Link IEEE Standard for Substrate-Native Integer Computing (Zone 0) Zenodo 10.5281/zenodo.21514923 NUMEN: PI-Origin Architecture and Design Zenodo 10.5281/zenodo.20045701 NUMEN: Visualizations, Specifications, and Applications Zenodo 10.5281/zenodo.20046158 Aurum/QuatOS–PhiNet: Self-Regulating Digital Organism Zenodo 10.5281/zenodo.20786536 NUMEN_OS Zenodo 10.5281/zenodo.21458931 Bare Metal Operating Systems: Integer-only Q32.32 Zenodo 10.5281/zenodo.21479299 Fun With Quantum Computing Zenodo 10.5281/zenodo.22096536 Podcast episodes (audio summaries) Zenodo 10.5281/zenodo.22283557 Source code Included in each record Publicly accessible Procedures Submission: All materials will be submitted to ResearchHub as a Crowd Review proposal Review Invitation: Reviewers will be invited via ResearchHub, direct email, and social channels Review Period: 14-day open review window (ResearchHub standard) Review Criteria: Reviewers will score on a 1-5 scale across: Novelty and innovation Rigor and methodology Significance and impact Open science commitment Response: All reviews will be responded to publicly and constructively Revision: Based on valid criticisms, materials will be revised and re-submitted Planned Analyses For Each Hypothesis: Hypothesis Test Success Criterion H1 (Determinism) Replicate code on different hardware 100% bit-identical outputs H2 (Energy) Replicate RAPL measurements ≤ 1 joule per training run H3 (Memory) Measure bandwidth utilization ≥ 10× reduction vs. float32 H4 (Crypto) Audit chain-of-custody No cryptographic vulnerabilities H5 (Generalizability) Assess stack completeness No missing primitives Interpretation Regardless of Outcome: If hypotheses hold: The work is validated. Publish results widely, advocate for adoption. If hypotheses fail: The flaws are identified. Fix them and repeat. Document everything. If reviewers disagree: The debate is public. The data is public. Science proceeds. This is the win-win. Ethics and Data Management Ethical Approval: Not required. No human or animal subjects. All data is synthetic or publicly available. Confidentiality: All review data will be public. No sensitive information is involved. Data Sharing: All data is already shared. All future data will be shared immediately. Archiving: All materials are archived with DOIs on Zenodo. 4. Pilot Data The following data already exists and demonstrates feasibility. This is not pilot data for a future study—it is data from the completed work. Energy Measurements Run Energy (Joules) 1 0.412 2 0.415 3 0.413 4 0.414 5 0.416 6 0.413 7 0.414 8 0.415 9 0.414 10 0.413 Mean: 0.414 joules Standard deviation: 0.001 95% CI: [0.413, 0.415] Reproducibility Verification Test Runs Identical? Bit-exact output verification 329,176 test vectors 100% Traction on Zenodo As of September 2026: Metric Value Total downloads (top 7 records) 1,200+ Download-to-view ratio 2.2:1 Records published 61 Months active 4 This traction demonstrates that the work is already reaching an audience. The download-to-view ratio indicates the audience is engaged and serious—they are downloading and consuming, not just browsing. The move to ResearchHub is the natural next step. Current Resources Resource Status Bank account $0 Equipment One old laptop Code Complete and public Publications 61 DOIs on Zenodo Audience 1,200+ downloads Institutional backing None Formal training in CS None Time invested 15 months This proposal is not a grant request for a startup. It is a request for peer review, with a modest budget to incentivize high-quality engagement. 5. Budget This is the minimum viable budget to make the challenge work. The goal is to get serious, rigorous reviews from domain experts. The budget is to incentivize that engagement. Reviewer Bounties 10 reviewers at $50 each $500 Incentivizes high-quality, detailed reviews ResearchHub Fee Platform fee $0 ResearchHub takes no fee for crowdfunding Hosting Zenodo DOI maintenance $0 Already covered Total $500 Alternative: $0 Budget Option If the goal is solely peer review without incentivized bounties, the proposal can run with $0 funding. Reviews will still happen—they just may be fewer and slower. The power of the challenge does not depend on funding. It depends on the quality of the work. 6. References Zenodo (2026). IEEE Standard for Substrate-Native Integer Computing (Zone 0). DOI: 10.5281/zenodo.21514923 Zenodo (2026). NUMEN: PI-Origin Architecture and Design. DOI: 10.5281/zenodo.20045701 Zenodo (2026). NUMEN: Visualizations, Specifications, and Applications. DOI: 10.5281/zenodo.20046158 Zenodo (2026). Aurum/QuatOS–PhiNet: A Self-Regulating Digital Organism on Bare Metal. DOI: 10.5281/zenodo.20786536 Zenodo (2026). NUMEN_OS. DOI: 10.5281/zenodo.21458931 Zenodo (2026). Bare Metal Operating Systems: The power of integer only q32.32. DOI: 10.5281/zenodo.21479299 Zenodo (2026). FUN WITH QUANTUM COMPUTING. DOI: 10.5281/zenodo.22096536 Zenodo (2026). Random NUMEN OS audio clips. DOI: 10.5281/zenodo.22283557 IEEE (2019). IEEE Standard for Floating-Point Arithmetic (IEEE Std 754™-2019). IEEE Computer Society. Landauer, R. (1961). Irreversibility and Heat Generation in the Computing Process. IBM Journal of Research and Development, 5(3), 183-191. Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and Policy Considerations for Deep Learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645-3650. Patterson, D., et al. (2021). Carbon Emissions and Large Neural Network Training. arXiv:2104.10350. Banach, S. (1922). Sur les opérations dans les ensembles abstraits et leur application aux équations intégrales. Fundamenta Mathematicae, 3, 133-181. 8c:T1ddf0,{"type":"doc","content":[{"type":"heading","attrs":{"id":"3243eda8-571b-4c7d-ad89-5275aea8a1ec","data-toc-id":"3243eda8-571b-4c7d-ad89-5275aea8a1ec","textAlign":null,"level":1},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Zone 0 Challenge – Prove Me Wrong"}]},{"type":"heading","attrs":{"id":"8b5a972a-dc09-44da-b784-422a31ef9dc4","data-toc-id":"8b5a972a-dc09-44da-b784-422a31ef9dc4","textAlign":"left","level":2},"content":[{"type":"text","text":"1. Abstract"}]},{"type":"paragraph","attrs":{"id":"a0280364-96e5-4a27-8710-9784b9f4df3a","class":null,"textAlign":"left"},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Scientific Rationale and Importance"}]},{"type":"paragraph","attrs":{"id":"5715ff62-8685-43dd-abe3-c38e1e61b26e","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"The AI industry faces three existential crises: energy consumption (565 TWh annually and growing), reproducibility (floating-point non-associativity makes bit-exact replication impossible by construction), and intellectual property (black-box models cannot provide cryptographic chain-of-custody for training data or outputs). These are not inevitable trade-offs—they are consequences of architectural choices."}]},{"type":"paragraph","attrs":{"id":"90ce7659-7ccf-4d81-81da-78880d361e24","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zone 0 is a complete, integer-only computational substrate from silicon voltage to symbolic language. It uses no IEEE-754 floating-point operations, no operating system abstractions, and no nondeterministic elements. The arithmetic floor is 146 lines of C (Q32.32 fixed-point). Training runs measure 0.414 joules—approximately 450,000,000× less energy than published estimates for large transformer training."}]},{"type":"paragraph","attrs":{"id":"c51014b2-bad4-4aa0-a4a5-0bef6304e280","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Research Plan"}]},{"type":"paragraph","attrs":{"id":"abc18e6f-7076-4337-9fa0-12f7fdaba290","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"This proposal does not seek funding for new research. It seeks funding for rigorous, open peer review of existing work that is already published, code-complete, and measured. The plan is simple:"}]},{"type":"orderedList","attrs":{"start":1,"type":null},"content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"b9ee6275-ead1-48df-a4dd-437db2218404","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Submit the IEEE standard document and supporting materials to ResearchHub for Crowd Review"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"22f3e075-8b22-4869-b6b6-04dce62aef7c","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Use funding to incentivize high-quality, detailed reviews from domain experts"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"39071451-28a1-4cf8-be65-f0fd110c0867","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Document all findings publicly, regardless of outcome"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"50b33710-d91d-451e-885a-69cc14703902","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"If the work holds up, use the validated results to advocate for energy-efficient computing"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"c845ceac-50a3-42b7-974b-0b4a74b92e03","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"If flaws are found, fix them and repeat"}]}]}]},{"type":"paragraph","attrs":{"id":"22c8df2e-0bf9-4e2a-9259-0163baba2cda","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Team and Facilities"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"076adefb-8592-48c3-b61a-83aaa1f28b5b","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Principal Investigator:"},{"type":"text","text":" Dan (independent researcher, 15 months on this project)"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"50336ee3-6192-44d1-b420-efcf800907fc","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Facilities:"},{"type":"text","text":" One old laptop, 0 dollars in bank account, and publicly available code"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"97e4d9af-db43-4f26-9c58-be947fe9dd57","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Ethics:"},{"type":"text","text":" No human or animal subjects; all data is synthetic or publicly available"}]}]}]},{"type":"paragraph","attrs":{"id":"d8160962-09d8-4924-a6b2-478a63435b0f","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Estimated Timeline"}]},{"type":"table","attrs":{"id":"d14c683a-ecc1-44ab-bc41-38e01ad3f2d9"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"d94c2f93-0b9b-4526-8dec-e4ba9d698767","class":null,"textAlign":null},"content":[{"type":"text","text":"Phase 1"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"c9542d68-7f01-4b02-b68c-42bec68bdca5","class":null,"textAlign":null},"content":[{"type":"text","text":"Week 1"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"87f30cc1-9f86-4f2b-83b8-45fceecee9d5","class":null,"textAlign":null},"content":[{"type":"text","text":"Submit proposal and materials to ResearchHub"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"5b5d2f4e-7be1-40e1-8d68-817bc67bdbf5","class":null,"textAlign":null},"content":[{"type":"text","text":"Phase 2"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"9d32e239-473d-49af-b713-f2ccc29ab4a5","class":null,"textAlign":null},"content":[{"type":"text","text":"Weeks 2"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"177b0e2f-9dba-41cb-b44e-899aa9f767df","class":null,"textAlign":null},"content":[{"type":"text","text":"Open peer review period"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"1df61a0f-59af-44aa-8058-dc96f130c76f","class":null,"textAlign":null},"content":[{"type":"text","text":"Phase 3"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"20da5d62-d7f2-40af-8a9c-01218801aa52","class":null,"textAlign":null},"content":[{"type":"text","text":"Weeks 3-4"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"144633a2-fd28-405c-acb0-1271b6c56220","class":null,"textAlign":null},"content":[{"type":"text","text":"Compile and respond to reviews"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"bfa110ff-7a09-4bab-bd7a-88bebe1b08b0","class":null,"textAlign":null},"content":[{"type":"text","text":"Phase 4"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"11878dc4-7d18-4032-8709-7f78b5b9ec96","class":null,"textAlign":null},"content":[{"type":"text","text":"Weeks 5-10"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"4ae3e567-7d5a-4255-8934-2bc66fa9976c","class":null,"textAlign":null},"content":[{"type":"text","text":"Publish final validated results"}]}]}]}]},{"type":"paragraph","attrs":{"id":"3a56cbf4-294f-48fd-8416-cdf53bfe7df0","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Data Sharing Commitment"}]},{"type":"paragraph","attrs":{"id":"745192d1-6556-4df4-92a5-04c73d77d8be","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"All code, measurements, telemetry, and supporting materials are already publicly available with DOIs on Zenodo. All future results will be shared immediately and openly. Data sharing is not a future promise—it is already the practice."}]},{"type":"paragraph","attrs":{"id":"c11c30da-de63-4d10-8b2d-0986b71feb55","class":"ds-markdown-paragraph","textAlign":null}},{"type":"heading","attrs":{"id":"5ea45245-9e02-437c-9f9e-8b6b9cef22d9","data-toc-id":"5ea45245-9e02-437c-9f9e-8b6b9cef22d9","textAlign":"left","level":2},"content":[{"type":"text","text":"2. Introduction"}]},{"type":"paragraph","attrs":{"id":"3ce8331f-99dc-4179-a94f-e53e160145ad","class":null,"textAlign":"left"},"content":[{"type":"text","text":"This proposal does not seek funding for new research. It seeks funding for rigorous, open peer "},{"type":"text","marks":[{"type":"bold"}],"text":"Theoretical Background"}]},{"type":"paragraph","attrs":{"id":"05542544-d126-45a9-ba70-8e68f5774069","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Current AI infrastructure is built on IEEE-754 floating-point arithmetic. This standard was designed for scientific computing, numerical simulation, and graphics—not for AI. Its defining characteristic for AI is a bug: floating-point addition is non-associative. This means "},{"type":"text","marks":[{"type":"code"}],"text":"(a + b) + c ≠ a + (b + c)"},{"type":"text","text":"."}]},{"type":"paragraph","attrs":{"id":"554c6a81-5735-4523-9a29-8c7748b2485c","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"When multiplied across thousands of GPUs with nondeterministic reduction orders, results are unreproducible by construction. The industry has accepted this as a cost of doing business. The costs are now existential."}]},{"type":"heading","attrs":{"id":"540fb583-97e2-46ee-b8b2-6dbabab376f9","data-toc-id":"540fb583-97e2-46ee-b8b2-6dbabab376f9","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The Three Crises"}]},{"type":"paragraph","attrs":{"id":"cdfa4269-7913-4be2-b1de-ae399343292c","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The Energy Crisis"}]},{"type":"paragraph","attrs":{"id":"cc31949a-b263-4bfe-be56-d14c0326d565","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Training a single large language model consumes megawatt-scale power over months. Global AI compute approaches 565 TWh annually—equivalent to the electricity consumption of entire nations. This is not sustainable."}]},{"type":"paragraph","attrs":{"id":"d2f6376b-020a-4f4d-a18f-fb993f8ebe00","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The Reproducibility Crisis"}]},{"type":"paragraph","attrs":{"id":"ddaaed91-3663-48f1-b462-eb3882246611","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Because floating-point is non-associative and GPU operations are nondeterministic, no two training runs produce bit-identical results. This means AI research is not reproducible by design. Papers cannot be independently verified."}]},{"type":"paragraph","attrs":{"id":"6b5ea7ae-60e9-435c-b440-c4cf598947e4","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The Intellectual Property Crisis"}]},{"type":"paragraph","attrs":{"id":"1837808c-f571-4d73-9840-5338a2625041","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Without deterministic provenance, ownership of AI-generated outputs is legally indefensible. Who owns what the black box produces? The answer is: nobody can prove it, because nobody can trace the chain of custody."}]},{"type":"heading","attrs":{"id":"546cd993-68a3-42c8-9213-08fe2de725b6","data-toc-id":"546cd993-68a3-42c8-9213-08fe2de725b6","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The Zone 0 Alternative"}]},{"type":"paragraph","attrs":{"id":"a1a58eef-416e-4469-8c3a-9adc7b5dcf89","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zone 0 is a complete alternative computational substrate built on integers. Integers are associative, deterministic, and verifiable. The stack has eight layers:"}]},{"type":"paragraph","attrs":{"id":"8da01c11-a27b-4dd9-b63d-3ad16adefb55","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Layer"}]},{"type":"paragraph","attrs":{"id":"0568f08a-d7f0-4f78-9e3f-a28bdab16ad4","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Description"}]},{"type":"table","attrs":{"id":"68c9d810-87c2-42d0-888b-e189501c78ec"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"25894a2e-7452-44b9-a868-f418835e6b0d","class":null,"textAlign":null},"content":[{"type":"text","text":"1"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"75170f17-29d9-417b-96e5-0619d58dad3e","class":null,"textAlign":null},"content":[{"type":"text","text":"Silicon voltage"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"bdd950a2-e94a-4b2c-9531-7ddf14a5a847","class":null,"textAlign":null},"content":[{"type":"text","text":"2"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"379c461b-c700-4e3a-b955-c3018bdfad19","class":null,"textAlign":null},"content":[{"type":"text","text":"Voltage to Q32.32 integer"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"483d010f-580b-4e96-8309-ee7e52b9e11c","class":null,"textAlign":null},"content":[{"type":"text","text":"3"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"808d7cf2-dc7e-4ff2-bd9b-2a748fad9cfe","class":null,"textAlign":null},"content":[{"type":"text","text":"Integer-only arithmetic library (146 lines of C)"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"70317c48-920e-4d41-be29-808353a68576","class":null,"textAlign":null},"content":[{"type":"text","text":"4"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"2eaca2d2-cf63-4749-8e17-d53b2a59ec78","class":null,"textAlign":null},"content":[{"type":"text","text":"CORDIC trigonometry (28 iterations, shift+add only)"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"35b30577-3197-4827-9df6-b5751bbdcfb3","class":null,"textAlign":null},"content":[{"type":"text","text":"5"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"491d028f-1896-4aff-8ee0-08dc9b4a0a0d","class":null,"textAlign":null},"content":[{"type":"text","text":"Integer Newton square root (128-bit)"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"1bbe9f15-56b9-478f-88c8-29ab1cbf26aa","class":null,"textAlign":null},"content":[{"type":"text","text":"6"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"8cf1fb69-46e7-4473-b014-2e8a2e6c5910","class":null,"textAlign":null},"content":[{"type":"text","text":"Learning rule: Banach contraction (5 instructions, 3 cycles)"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"57935d5e-19fe-4ece-9fe6-a99964bcc9f9","class":null,"textAlign":null},"content":[{"type":"text","text":"7"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"03d4c220-babc-4362-b232-5a408bfdd240","class":null,"textAlign":null},"content":[{"type":"text","text":"Quaternary (2-bit) weight system"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"ec567d56-9ff9-4dca-bdf7-251ed00923fb","class":null,"textAlign":null},"content":[{"type":"text","text":"8"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"8d7b4266-0026-445f-8d1f-cb4a1c8bd8aa","class":null,"textAlign":null},"content":[{"type":"text","text":"256-symbol integer bytecode to symbolic language"}]}]}]}]},{"type":"paragraph","attrs":{"id":"163b94cc-a14e-4d8d-8ed4-2eb139a0f565","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"What Already Exists"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"638dd9f6-5e28-4408-bc73-e0963e51eb2e","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Complete working code: 484 source files, 36 leaves, 8 subdomains"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"ac885590-b2de-4506-947e-7ff12aa192dc","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Measured training energy: 0.414 joules (RAPL-instrumented)"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"40029200-836e-496d-afd1-5c6e77d8d424","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Determinism verification: Bit-exact by construction"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"80c247c9-f441-456e-849c-1fde6ee3f1f7","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Memory bandwidth: 16× less than float32 (2-bit vs. 32-bit)"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"c0e8ef56-b432-46a8-a6ce-34f4be38816b","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Published IEEE standard draft"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"f2ea6e46-6c08-427b-8c93-e777146b9fda","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"All materials public with DOIs on Zenodo"}]}]}]},{"type":"paragraph","attrs":{"id":"03b3a51a-5002-4133-aad1-e6a708a160af","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"What This Proposal Asks For"}]},{"type":"paragraph","attrs":{"id":"8311c761-969b-45a0-bf33-e91bcf01cb30","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Not permission. Not institutional backing. Not a salary. "},{"type":"text","marks":[{"type":"bold"}],"text":"Peer review."},{"type":"text","text":" Scrutiny. The chance to have the work torn apart by smart people. If it holds up, the energy argument becomes undeniable. If it doesn't, we find the flaw and fix it."}]},{"type":"paragraph","attrs":{"id":"d5253faa-b383-454e-943c-887b84c6be40","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Either way, science wins."}]},{"type":"heading","attrs":{"id":"232b8cff-c58a-4639-93c6-272359e80e68","data-toc-id":"232b8cff-c58a-4639-93c6-272359e80e68","textAlign":"left","level":3},"content":[{"type":"text","text":"Hypotheses"}]},{"type":"heading","attrs":{"id":"77aa2be6-8dea-4d13-88b4-e519f53e25d1","data-toc-id":"77aa2be6-8dea-4d13-88b4-e519f53e25d1","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"H1 (Primary): Determinism by Construction"}]},{"type":"paragraph","attrs":{"id":"8268aa97-a4d6-4fc6-bd3a-a3d4866beecf","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Hypothesis:"},{"type":"text","text":" Zone 0 produces bit-exact deterministic outputs across all operations, with 100% reproducibility between runs."}]},{"type":"paragraph","attrs":{"id":"50bb7ab3-6c9b-42dc-8103-c2f8d5026662","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Rationale:"},{"type":"text","text":" Because Zone 0 uses integer arithmetic exclusively, and integers are associative, there are no sources of nondeterminism in the computational stack. Floating-point rounding, non-associativity, and nondeterministic reduction orders are absent by design."}]},{"type":"paragraph","attrs":{"id":"02ed9be0-aca9-44a5-95ba-c581de87b5d3","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Supporting Evidence:"},{"type":"text","text":" Existing code produces bit-identical outputs across 329,176 test vectors. This has been verified by cryptographic hash comparison."}]},{"type":"paragraph","attrs":{"id":"c2c1100e-2ded-4902-89e7-99c4226884c8","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Test:"},{"type":"text","text":" Reviewers will verify that the code produces identical outputs across multiple runs, across different hardware, and across different compilation environments."}]},{"type":"heading","attrs":{"id":"40ceaeee-179a-4060-8518-867609fe22e5","data-toc-id":"40ceaeee-179a-4060-8518-867609fe22e5","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"H2 (Primary): Energy Reduction"}]},{"type":"paragraph","attrs":{"id":"ffa11f5e-e3c2-4759-aedc-e9426b37caa5","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Hypothesis:"},{"type":"text","text":" Zone 0 achieves a ≥ 10⁸× reduction in energy consumption compared to floating-point AI systems for equivalent learning tasks."}]},{"type":"paragraph","attrs":{"id":"318bc9ce-806b-438a-9068-4a1d6b2bcfdd","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Rationale:"},{"type":"text","text":" The Banach contraction learning rule executes in 5 integer instructions and 3 clock cycles. Full training runs have been measured at 0.414 joules. Published estimates for large transformer training range from 10⁸ to 10¹⁰ joules."}]},{"type":"paragraph","attrs":{"id":"6002a32b-dc8d-452d-a8a2-1b8163f363bf","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Supporting Evidence:"},{"type":"text","text":" RAPL-instrumented measurements show 0.414 joules for a complete training run. Energy breakdown by operation is documented in the IEEE standard."}]},{"type":"paragraph","attrs":{"id":"c142d330-fefc-454d-a9dd-e544231ff615","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Test:"},{"type":"text","text":" Reviewers will replicate the energy measurements and compare to published baselines for equivalent workloads."}]},{"type":"heading","attrs":{"id":"8f0cdff4-8242-4534-8d74-ff690643cdf4","data-toc-id":"8f0cdff4-8242-4534-8d74-ff690643cdf4","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"H3 (Secondary): Memory Bandwidth Reduction"}]},{"type":"paragraph","attrs":{"id":"ca164114-e877-4116-80b2-fde00610dfe1","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Hypothesis:"},{"type":"text","text":" Zone 0's quaternary (2-bit) weight system moves 16× fewer bytes than float32, with no loss in learning capability."}]},{"type":"paragraph","attrs":{"id":"284a0850-8df4-47c3-9e83-602532781a92","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Rationale:"},{"type":"text","text":" 2-bit weights require 0.25 bytes each, compared to 4 bytes for float32. The Banach contraction learning rule operates directly on these 2-bit values."}]},{"type":"paragraph","attrs":{"id":"f24f7655-43e1-4d12-beb5-3029de60fe99","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Supporting Evidence:"},{"type":"text","text":" The quaternary weight system is implemented and operational. Accuracy comparisons to float32 are documented."}]},{"type":"paragraph","attrs":{"id":"be151f50-1925-4640-b5c9-e7b536a6383b","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Test:"},{"type":"text","text":" Reviewers will replicate the accuracy comparisons and measure memory bandwidth utilization."}]},{"type":"heading","attrs":{"id":"b3e08b88-07a1-49e8-adf0-add2f473900d","data-toc-id":"b3e08b88-07a1-49e8-adf0-add2f473900d","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"H4 (Secondary): Cryptographic Chain of Custody"}]},{"type":"paragraph","attrs":{"id":"286f2332-aa53-4a96-a0f3-1c0e26edd78e","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Hypothesis:"},{"type":"text","text":" Zone 0's deterministic, integer-only architecture enables cryptographic chain-of-custody for IP provenance that is legally defensible."}]},{"type":"paragraph","attrs":{"id":"4d7fd1b6-edc9-4419-b2be-ae403dd6b292","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Rationale:"},{"type":"text","text":" Deterministic computation means every operation can be hashed and verified. The ROOT_SEAL.json mechanism provides a cryptographic signature chain."}]},{"type":"paragraph","attrs":{"id":"396dd090-186d-4009-9e8e-de40062729d8","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Supporting Evidence:"},{"type":"text","text":" The cryptographic chain-of-custody implementation is documented in the Phi-Net Data Schema record and the IEEE standard."}]},{"type":"paragraph","attrs":{"id":"f8462901-0145-48e4-b3bc-dec257b13990","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Test:"},{"type":"text","text":" Reviewers will audit the cryptographic implementation and assess its legal defensibility."}]},{"type":"heading","attrs":{"id":"6f919d20-fcc4-49b5-942d-2647749e345e","data-toc-id":"6f919d20-fcc4-49b5-942d-2647749e345e","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"H5 (Secondary): Generalizability"}]},{"type":"paragraph","attrs":{"id":"08cce9b6-f92a-41ee-a94f-e51c15d4ffc4","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Hypothesis:"},{"type":"text","text":" Zone 0 is capable of general-purpose computing, not just specialized AI workloads."}]},{"type":"paragraph","attrs":{"id":"c272f372-b0b9-4249-9353-6abede7b2adc","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Rationale:"},{"type":"text","text":" The eight-layer stack from voltage to symbolic language is Turing-complete by construction."}]},{"type":"paragraph","attrs":{"id":"7f022dcc-0c6a-4db4-9a60-675e0905d588","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Supporting Evidence:"},{"type":"text","text":" The stack architecture is mapped across 8 subdomains and 36 leaves, covering arithmetic, control flow, memory, and I/O."}]},{"type":"paragraph","attrs":{"id":"470af063-e0f8-44f6-bd9d-4c08d1b29afe","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Test:"},{"type":"text","text":" Reviewers will assess the completeness of the stack and identify any missing primitives."}]},{"type":"heading","attrs":{"id":"e11694d1-e11e-4c08-8a03-af9639b853b3","data-toc-id":"e11694d1-e11e-4c08-8a03-af9639b853b3","textAlign":"left","level":2},"content":[{"type":"text","text":"3. Methods"}]},{"type":"heading","attrs":{"id":"43011cff-dd14-49ed-95f4-d3e4074be7e1","data-toc-id":"43011cff-dd14-49ed-95f4-d3e4074be7e1","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Participants/Sample"}]},{"type":"paragraph","attrs":{"id":"1ad3ec5d-24a0-4a39-8b62-4e6295e41831","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Category Description"}]},{"type":"table","attrs":{"id":"12f5fa6b-5285-4bb9-a211-4ac675d0be3f"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"2fc8ba4c-93f3-4e85-864b-b5dfac62047a","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Reviewers"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); 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font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"8bc198aa-6709-49bb-86c0-0e913ff51ec6","class":null,"textAlign":null},"content":[{"type":"text","text":"ResearchHub community; direct outreach to experts via email; sharing with existing Zenodo audience"}]}]}]}]},{"type":"paragraph","attrs":{"id":"173cc3ad-9365-4ca2-abd3-12f015176f35","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Inclusion Criteria for Reviewers:"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"bb16231d-a679-4f35-b469-c428fbeeaa69","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Demonstrated expertise in relevant domain"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"a46a34f5-7987-4699-a10c-6ad5174d499a","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Willing to provide public, constructive feedback"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"5d582d9c-ba82-4f35-901c-2b3627e14ab2","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"No conflict of interest"}]}]}]},{"type":"paragraph","attrs":{"id":"20cf1dd7-160c-40cf-9bdb-054d526bce9d","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Exclusion Criteria:"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"403865d6-0ea0-4cce-8585-10d8400ae363","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Anonymous or unverified accounts"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"2cc6234e-1cb5-47e4-a723-ff9e574146aa","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Non-constructive feedback (ad hominem, dismissal without evidence)"}]}]}]},{"type":"heading","attrs":{"id":"4d204ba4-b8dc-4e98-b247-f4251c2d879a","data-toc-id":"4d204ba4-b8dc-4e98-b247-f4251c2d879a","textAlign":"left","level":3},"content":[{"type":"text","text":"Materials and Procedures"}]},{"type":"paragraph","attrs":{"id":"104bc88a-ac23-4bb2-b5fe-8a366fffe9f4","class":null,"textAlign":"left"},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Materials"}]},{"type":"paragraph","attrs":{"id":"2dbb6d34-14ee-4cfb-8846-8e34d2cac5fe","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Material"}]},{"type":"paragraph","attrs":{"id":"a5cdbcba-9828-4f41-89c8-75494cfca6fe","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Source"}]},{"type":"paragraph","attrs":{"id":"3156b31f-2c36-47e6-a29c-249c76a148f7","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"DOI/Link"}]},{"type":"table","attrs":{"id":"aacdb5f4-78a4-48d0-93ba-42110948efdb"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); 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font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"150734bc-60d2-4cbe-8313-6e263d800658","class":null,"textAlign":null},"content":[{"type":"text","text":"H5 (Generalizability)"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"c6d51afa-55a9-452a-b885-327f982cc187","class":null,"textAlign":null},"content":[{"type":"text","text":"Assess stack completeness"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"8f6b8bbd-5571-4654-9050-85250a33a36c","class":null,"textAlign":null},"content":[{"type":"text","text":"No missing primitives"}]}]}]}]},{"type":"paragraph","attrs":{"id":"20b58847-8c5c-4788-a24c-f004832b6ebc","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Interpretation Regardless of Outcome:"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"6d5853b3-8a3e-4256-91e3-fcf077e3dec8","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"If hypotheses hold:"},{"type":"text","text":" The work is validated. Publish results widely, advocate for adoption."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"edfb6575-dc74-47c9-b82d-9878bb02817f","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"If hypotheses fail:"},{"type":"text","text":" The flaws are identified. Fix them and repeat. Document everything."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"c361ed59-54b4-41c4-a6f7-0ed6a055dcd8","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"If reviewers disagree:"},{"type":"text","text":" The debate is public. The data is public. Science proceeds."}]}]}]},{"type":"paragraph","attrs":{"id":"50c2e78b-ee31-488f-b369-e21c7a7372b3","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"This is the win-win."}]},{"type":"heading","attrs":{"id":"917bbdf9-1cda-4c24-9d14-8f82685ceca2","data-toc-id":"917bbdf9-1cda-4c24-9d14-8f82685ceca2","textAlign":"left","level":3},"content":[{"type":"text","text":"Ethics and Data Management"}]},{"type":"paragraph","attrs":{"id":"27a6041f-fc39-4e39-a086-b5c80a036d2b","class":null,"textAlign":"left"},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Ethical Approval:"},{"type":"text","text":" Not required. No human or animal subjects. All data is synthetic or publicly available."}]},{"type":"paragraph","attrs":{"id":"f158f20f-2652-4325-8b10-b144a527b86f","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Confidentiality:"},{"type":"text","text":" All review data will be public. No sensitive information is involved."}]},{"type":"paragraph","attrs":{"id":"614e6eda-a592-4400-b550-a1737419d8da","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Data Sharing:"},{"type":"text","text":" All data is already shared. All future data will be shared immediately."}]},{"type":"paragraph","attrs":{"id":"fcd6b153-d5f5-4287-8ee0-60150371fb49","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Archiving:"},{"type":"text","text":" All materials are archived with DOIs on Zenodo."}]},{"type":"heading","attrs":{"id":"97f7b60d-7838-4036-abf3-eb233d2ba57b","data-toc-id":"97f7b60d-7838-4036-abf3-eb233d2ba57b","textAlign":"left","level":2},"content":[{"type":"text","text":"4. Pilot Data "}]},{"type":"paragraph","attrs":{"id":"f637b338-b596-42ae-b12b-a13f4051f8df","class":null,"textAlign":"left"},"content":[{"type":"text","text":"The following data already exists and demonstrates feasibility. This is not pilot data for a future study—it is data from the completed work."}]},{"type":"heading","attrs":{"id":"48b1a5b0-d768-4345-bf52-7d2f5aa11c86","data-toc-id":"48b1a5b0-d768-4345-bf52-7d2f5aa11c86","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Energy Measurements"}]},{"type":"paragraph","attrs":{"id":"c067ad6e-ec39-45ee-94ae-69dc6aa195c3","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Run Energy (Joules)"}]},{"type":"table","attrs":{"id":"cd71101a-b51f-43c7-9439-84e155f62abd"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"cbd50d20-4f5c-49ba-88f8-debb8baef20e","class":null,"textAlign":null},"content":[{"type":"text","text":"1"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); 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font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"5935c127-052c-494e-9210-61fafe2b8fa3","class":null,"textAlign":null},"content":[{"type":"text","text":"Months active"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"9a27e642-56e9-4588-9ef9-90eb3dd0442d","class":null,"textAlign":null},"content":[{"type":"text","text":"4"}]}]}]}]},{"type":"paragraph","attrs":{"id":"8604dd94-f40a-465e-86b2-d81b0bae5f66","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"This traction demonstrates that the work is already reaching an audience. The download-to-view ratio indicates the audience is engaged and serious—they are downloading and consuming, not just browsing."}]},{"type":"paragraph","attrs":{"id":"2bbaf06f-c5f5-46a8-82d7-d004d95dc344","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The move to ResearchHub is the natural next step."}]},{"type":"heading","attrs":{"id":"3a689046-d8c2-487b-8acd-1ff8aae725a9","data-toc-id":"3a689046-d8c2-487b-8acd-1ff8aae725a9","textAlign":null,"level":3},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Current Resources"}]},{"type":"paragraph","attrs":{"id":"47dd9051-18be-476d-87b4-8de90d30f569","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Resource"}]},{"type":"paragraph","attrs":{"id":"19a6b2c7-a60e-4d02-95df-c0db6afd1597","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Status"}]},{"type":"table","attrs":{"id":"0729b3ee-13b4-489f-982d-eef38ed9404f"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); 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font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"ca6a6e92-3029-4370-84c2-81efe34a8f94","class":null,"textAlign":null},"content":[{"type":"text","text":"Publications"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"d1895bed-958a-4ba3-b22c-ce6996c6613b","class":null,"textAlign":null},"content":[{"type":"text","text":"61 DOIs on Zenodo"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); 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font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"f314474a-432a-4719-b24e-65db1044f8e2","class":null,"textAlign":null},"content":[{"type":"text","text":"Institutional backing"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"5074fed5-bbcd-42db-bd3a-df747076d347","class":null,"textAlign":null},"content":[{"type":"text","text":"None"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"b21b3148-3d21-4e4d-9ea0-2ff7adadc963","class":null,"textAlign":null},"content":[{"type":"text","text":"Formal training in CS"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"8aa61525-8e96-4f48-8bdd-3224340cad07","class":null,"textAlign":null},"content":[{"type":"text","text":"None"}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"838dc915-fc5b-49b9-b61f-bce4dd8ac833","class":null,"textAlign":null},"content":[{"type":"text","text":"Time invested"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"f2e71191-fe76-4167-a6e8-045a37bed92b","class":null,"textAlign":null},"content":[{"type":"text","text":"15 months"}]}]}]}]},{"type":"paragraph","attrs":{"id":"f1f8f1c9-e6c6-479c-88ff-9513ad7a6e03","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"This proposal is not a grant request for a startup. It is a request for peer review, with a modest budget to incentivize high-quality engagement."}]},{"type":"heading","attrs":{"id":"03be0d25-7b4c-41e6-a392-3a83ffd09092","data-toc-id":"03be0d25-7b4c-41e6-a392-3a83ffd09092","textAlign":"left","level":2},"content":[{"type":"text","text":"5. Budget"}]},{"type":"paragraph","attrs":{"id":"c5c5fd2a-720d-4e5c-a091-587da752da40","class":null,"textAlign":"left"},"content":[{"type":"text","text":"This is the minimum viable budget to make the challenge work. The goal is to get serious, rigorous reviews from domain experts. The budget is to incentivize that engagement."}]},{"type":"table","attrs":{"id":"af65eaa5-5d6b-4284-ace2-3fd1d4a39447"},"content":[{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px 10px 0px;"},"content":[{"type":"paragraph","attrs":{"id":"db20d720-6dfc-4ee4-83d3-59cf47cda79b","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Reviewer Bounties"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"f9edca88-62f4-48a7-9ebf-33d2fb923f6b","class":null,"textAlign":null},"content":[{"type":"text","text":"10 reviewers at $50 each"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"50419121-899e-4648-86e7-740258095d8a","class":null,"textAlign":null},"content":[{"type":"text","text":"$500"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; 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font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"d718c035-d291-4c5b-863a-5e643b7ed84d","class":null,"textAlign":null}}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"253789db-fae5-4b78-a513-00b32ab37970","class":null,"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"$500"}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":null,"style":"border-bottom: 1px solid rgba(0, 0, 0, 0.1); font: 400 15px / 25px quote-cjk-patch, Inter, system-ui, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu, Cantarell, \"Open Sans\", \"Helvetica Neue\", sans-serif; min-width: 100px; max-width: min(30vw, 320px); padding: 10px 0px 10px 16px;"},"content":[{"type":"paragraph","attrs":{"id":"bef58e89-ea04-481f-b9f9-9c99141388f0","class":null,"textAlign":null}}]}]}]},{"type":"paragraph","attrs":{"id":"a975f37b-b94c-4dfb-829f-e65bb3f4dde9","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Alternative: $0 Budget Option"}]},{"type":"paragraph","attrs":{"id":"cb5a5ba7-2c4f-4bc2-8743-7279275acd46","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"If the goal is solely peer review without incentivized bounties, the proposal can run with $0 funding. Reviews will still happen—they just may be fewer and slower."}]},{"type":"paragraph","attrs":{"id":"a19d6545-87ef-4198-ac29-b4521df133b5","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"The power of the challenge does not depend on funding. It depends on the quality of the work."}]},{"type":"heading","attrs":{"id":"48588700-cc9d-4a10-af4c-22e4bad47eec","data-toc-id":"48588700-cc9d-4a10-af4c-22e4bad47eec","textAlign":"left","level":2},"content":[{"type":"text","text":"6. References"}]},{"type":"orderedList","attrs":{"start":1,"type":null},"content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"bff4f406-cecd-44b7-85f2-f2766b8a0314","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). IEEE Standard for Substrate-Native Integer Computing (Zone 0). DOI: 10.5281/zenodo.21514923"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"b67bc40c-9776-4443-9133-535a1177d10e","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). NUMEN: PI-Origin Architecture and Design. DOI: 10.5281/zenodo.20045701"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"47cce284-657a-4794-a64d-d7da5df2e030","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). NUMEN: Visualizations, Specifications, and Applications. DOI: 10.5281/zenodo.20046158"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"b2c563af-4a11-4ac2-bc8e-5fc41f4a8f8b","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). Aurum/QuatOS–PhiNet: A Self-Regulating Digital Organism on Bare Metal. DOI: 10.5281/zenodo.20786536"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"88c83ae4-f9f7-47f0-ba48-df82bb0f922d","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). NUMEN_OS. DOI: 10.5281/zenodo.21458931"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"26f8de14-2360-46ff-8ba6-f6b135750783","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). Bare Metal Operating Systems: The power of integer only q32.32. DOI: 10.5281/zenodo.21479299"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"154ae9a8-f408-4c16-a664-1efc696c1cd8","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). FUN WITH QUANTUM COMPUTING. DOI: 10.5281/zenodo.22096536"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"ef882558-0600-414d-af59-bd527bb13013","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Zenodo (2026). Random NUMEN OS audio clips. DOI: 10.5281/zenodo.22283557"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"e14445cf-8efc-4427-929b-048ec9f36acc","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"IEEE (2019). IEEE Standard for Floating-Point Arithmetic (IEEE Std 754"},{"type":"emoji","attrs":{"name":"tm"}},{"type":"text","text":"-2019). IEEE Computer Society."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"766d3f1c-7190-4a8d-b371-aedb9778390a","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Landauer, R. (1961). Irreversibility and Heat Generation in the Computing Process. IBM Journal of Research and Development, 5(3), 183-191."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"fa6de0a7-b425-4b51-a8fa-13c8f5961e08","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and Policy Considerations for Deep Learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645-3650."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"292ed384-1c47-4b44-8ae7-9c778d710eab","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Patterson, D., et al. (2021). Carbon Emissions and Large Neural Network Training. arXiv:2104.10350."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"id":"4dc0d715-fe59-44d3-a5d1-8127e7c0aa07","class":"ds-markdown-paragraph","textAlign":null},"content":[{"type":"text","text":"Banach, S. (1922). Sur les opérations dans les ensembles abstraits et leur application aux équations intégrales. Fundamenta Mathematicae, 3, 133-181."}]}]}]},{"type":"paragraph","attrs":{"id":"a4eee798-59e1-46ef-97e2-76464bc6c1a3","class":null,"textAlign":null}}]}8d:T1679e,

Zone 0 Challenge – Prove Me Wrong

1. Abstract

Scientific Rationale and Importance

The AI industry faces three existential crises: energy consumption (565 TWh annually and growing), reproducibility (floating-point non-associativity makes bit-exact replication impossible by construction), and intellectual property (black-box models cannot provide cryptographic chain-of-custody for training data or outputs). These are not inevitable trade-offs—they are consequences of architectural choices.

Zone 0 is a complete, integer-only computational substrate from silicon voltage to symbolic language. It uses no IEEE-754 floating-point operations, no operating system abstractions, and no nondeterministic elements. The arithmetic floor is 146 lines of C (Q32.32 fixed-point). Training runs measure 0.414 joules—approximately 450,000,000× less energy than published estimates for large transformer training.

Research Plan

This proposal does not seek funding for new research. It seeks funding for rigorous, open peer review of existing work that is already published, code-complete, and measured. The plan is simple:

Submit the IEEE standard document and supporting materials to ResearchHub for Crowd Review
Use funding to incentivize high-quality, detailed reviews from domain experts
Document all findings publicly, regardless of outcome
If the work holds up, use the validated results to advocate for energy-efficient computing
If flaws are found, fix them and repeat

Team and Facilities

Principal Investigator: Dan (independent researcher, 15 months on this project)
Facilities: One old laptop, 0 dollars in bank account, and publicly available code
Ethics: No human or animal subjects; all data is synthetic or publicly available

Estimated Timeline

Phase 1	Week 1	Submit proposal and materials to ResearchHub
Phase 2	Weeks 2	Open peer review period
Phase 3	Weeks 3-4	Compile and respond to reviews
Phase 4	Weeks 5-10	Publish final validated results

Data Sharing Commitment

All code, measurements, telemetry, and supporting materials are already publicly available with DOIs on Zenodo. All future results will be shared immediately and openly. Data sharing is not a future promise—it is already the practice.

2. Introduction

This proposal does not seek funding for new research. It seeks funding for rigorous, open peer Theoretical Background

Current AI infrastructure is built on IEEE-754 floating-point arithmetic. This standard was designed for scientific computing, numerical simulation, and graphics—not for AI. Its defining characteristic for AI is a bug: floating-point addition is non-associative. This means (a + b) + c ≠ a + (b + c).

When multiplied across thousands of GPUs with nondeterministic reduction orders, results are unreproducible by construction. The industry has accepted this as a cost of doing business. The costs are now existential.

The Three Crises

The Energy Crisis

Training a single large language model consumes megawatt-scale power over months. Global AI compute approaches 565 TWh annually—equivalent to the electricity consumption of entire nations. This is not sustainable.

The Reproducibility Crisis

Because floating-point is non-associative and GPU operations are nondeterministic, no two training runs produce bit-identical results. This means AI research is not reproducible by design. Papers cannot be independently verified.

The Intellectual Property Crisis

Without deterministic provenance, ownership of AI-generated outputs is legally indefensible. Who owns what the black box produces? The answer is: nobody can prove it, because nobody can trace the chain of custody.

The Zone 0 Alternative

Zone 0 is a complete alternative computational substrate built on integers. Integers are associative, deterministic, and verifiable. The stack has eight layers:

Layer

Description

1	Silicon voltage
2	Voltage to Q32.32 integer
3	Integer-only arithmetic library (146 lines of C)
4	CORDIC trigonometry (28 iterations, shift+add only)
5	Integer Newton square root (128-bit)
6	Learning rule: Banach contraction (5 instructions, 3 cycles)
7	Quaternary (2-bit) weight system
8	256-symbol integer bytecode to symbolic language

What Already Exists

Complete working code: 484 source files, 36 leaves, 8 subdomains
Measured training energy: 0.414 joules (RAPL-instrumented)
Determinism verification: Bit-exact by construction
Memory bandwidth: 16× less than float32 (2-bit vs. 32-bit)
Published IEEE standard draft
All materials public with DOIs on Zenodo

What This Proposal Asks For

Not permission. Not institutional backing. Not a salary. Peer review. Scrutiny. The chance to have the work torn apart by smart people. If it holds up, the energy argument becomes undeniable. If it doesn't, we find the flaw and fix it.

Either way, science wins.

Hypotheses

H1 (Primary): Determinism by Construction

Hypothesis: Zone 0 produces bit-exact deterministic outputs across all operations, with 100% reproducibility between runs.

Rationale: Because Zone 0 uses integer arithmetic exclusively, and integers are associative, there are no sources of nondeterminism in the computational stack. Floating-point rounding, non-associativity, and nondeterministic reduction orders are absent by design.

Supporting Evidence: Existing code produces bit-identical outputs across 329,176 test vectors. This has been verified by cryptographic hash comparison.

Test: Reviewers will verify that the code produces identical outputs across multiple runs, across different hardware, and across different compilation environments.

H2 (Primary): Energy Reduction

Hypothesis: Zone 0 achieves a ≥ 10⁸× reduction in energy consumption compared to floating-point AI systems for equivalent learning tasks.

Rationale: The Banach contraction learning rule executes in 5 integer instructions and 3 clock cycles. Full training runs have been measured at 0.414 joules. Published estimates for large transformer training range from 10⁸ to 10¹⁰ joules.

Supporting Evidence: RAPL-instrumented measurements show 0.414 joules for a complete training run. Energy breakdown by operation is documented in the IEEE standard.

Test: Reviewers will replicate the energy measurements and compare to published baselines for equivalent workloads.

H3 (Secondary): Memory Bandwidth Reduction

Hypothesis: Zone 0's quaternary (2-bit) weight system moves 16× fewer bytes than float32, with no loss in learning capability.

Rationale: 2-bit weights require 0.25 bytes each, compared to 4 bytes for float32. The Banach contraction learning rule operates directly on these 2-bit values.

Supporting Evidence: The quaternary weight system is implemented and operational. Accuracy comparisons to float32 are documented.

Test: Reviewers will replicate the accuracy comparisons and measure memory bandwidth utilization.

H4 (Secondary): Cryptographic Chain of Custody

Hypothesis: Zone 0's deterministic, integer-only architecture enables cryptographic chain-of-custody for IP provenance that is legally defensible.

Rationale: Deterministic computation means every operation can be hashed and verified. The ROOT_SEAL.json mechanism provides a cryptographic signature chain.

Supporting Evidence: The cryptographic chain-of-custody implementation is documented in the Phi-Net Data Schema record and the IEEE standard.

Test: Reviewers will audit the cryptographic implementation and assess its legal defensibility.

H5 (Secondary): Generalizability

Hypothesis: Zone 0 is capable of general-purpose computing, not just specialized AI workloads.

Rationale: The eight-layer stack from voltage to symbolic language is Turing-complete by construction.

Supporting Evidence: The stack architecture is mapped across 8 subdomains and 36 leaves, covering arithmetic, control flow, memory, and I/O.

Test: Reviewers will assess the completeness of the stack and identify any missing primitives.

3. Methods

Participants/Sample

Category Description

Reviewers	Domain experts in computer architecture, numerical computing, AI, energy efficiency, and cryptography
Target sample	Minimum 5 reviews, ideally 10-20 reviews
Recruitment	ResearchHub community; direct outreach to experts via email; sharing with existing Zenodo audience

Inclusion Criteria for Reviewers:

Demonstrated expertise in relevant domain
Willing to provide public, constructive feedback
No conflict of interest

Exclusion Criteria:

Anonymous or unverified accounts
Non-constructive feedback (ad hominem, dismissal without evidence)

Materials and Procedures

Materials

Material

Source

DOI/Link

IEEE Standard for Substrate-Native Integer Computing (Zone 0)	Zenodo	10.5281/zenodo.21514923
NUMEN: PI-Origin Architecture and Design	Zenodo	10.5281/zenodo.20045701
NUMEN: Visualizations, Specifications, and Applications	Zenodo	10.5281/zenodo.20046158
Aurum/QuatOS–PhiNet: Self-Regulating Digital Organism	Zenodo	10.5281/zenodo.20786536
NUMEN_OS	Zenodo	10.5281/zenodo.21458931
Bare Metal Operating Systems: Integer-only Q32.32	Zenodo	10.5281/zenodo.21479299
Fun With Quantum Computing	Zenodo	10.5281/zenodo.22096536
Podcast episodes (audio summaries)	Zenodo	10.5281/zenodo.22283557
Source code	Included in each record	Publicly accessible

Procedures

Submission: All materials will be submitted to ResearchHub as a Crowd Review proposal
Review Invitation: Reviewers will be invited via ResearchHub, direct email, and social channels
Review Period: 14-day open review window (ResearchHub standard)
Review Criteria: Reviewers will score on a 1-5 scale across:
- Novelty and innovation
- Rigor and methodology
- Significance and impact
- Open science commitment
Response: All reviews will be responded to publicly and constructively
Revision: Based on valid criticisms, materials will be revised and re-submitted

Planned Analyses

For Each Hypothesis:

Hypothesis

Test

Success Criterion

H1 (Determinism)	Replicate code on different hardware	100% bit-identical outputs
H2 (Energy)	Replicate RAPL measurements	≤ 1 joule per training run
H3 (Memory)	Measure bandwidth utilization	≥ 10× reduction vs. float32
H4 (Crypto)	Audit chain-of-custody	No cryptographic vulnerabilities
H5 (Generalizability)	Assess stack completeness	No missing primitives

Interpretation Regardless of Outcome:

If hypotheses hold: The work is validated. Publish results widely, advocate for adoption.
If hypotheses fail: The flaws are identified. Fix them and repeat. Document everything.
If reviewers disagree: The debate is public. The data is public. Science proceeds.

This is the win-win.

Ethics and Data Management

Ethical Approval: Not required. No human or animal subjects. All data is synthetic or publicly available.

Confidentiality: All review data will be public. No sensitive information is involved.

Data Sharing: All data is already shared. All future data will be shared immediately.

Archiving: All materials are archived with DOIs on Zenodo.

4. Pilot Data

The following data already exists and demonstrates feasibility. This is not pilot data for a future study—it is data from the completed work.

Energy Measurements

Run Energy (Joules)

1	0.412
2	0.415
3	0.413
4	0.414
5	0.416
6	0.413
7	0.414
8	0.415
9	0.414
10	0.413

Mean: 0.414 joules
Standard deviation: 0.001
95% CI: [0.413, 0.415]

Reproducibility Verification

Test Runs Identical?

Bit-exact output verification

329,176 test vectors

100%

Traction on Zenodo

As of September 2026:

Metric Value

Total downloads (top 7 records)	1,200+
Download-to-view ratio	2.2:1
Records published	61
Months active	4

This traction demonstrates that the work is already reaching an audience. The download-to-view ratio indicates the audience is engaged and serious—they are downloading and consuming, not just browsing.

The move to ResearchHub is the natural next step.

Current Resources

Resource

Status

Bank account	$0
Equipment	One old laptop
Code	Complete and public
Publications	61 DOIs on Zenodo
Audience	1,200+ downloads
Institutional backing	None
Formal training in CS	None
Time invested	15 months

This proposal is not a grant request for a startup. It is a request for peer review, with a modest budget to incentivize high-quality engagement.

5. Budget

This is the minimum viable budget to make the challenge work. The goal is to get serious, rigorous reviews from domain experts. The budget is to incentivize that engagement.

Reviewer Bounties	10 reviewers at $50 each	$500	Incentivizes high-quality, detailed reviews
ResearchHub Fee	Platform fee	$0	ResearchHub takes no fee for crowdfunding
Hosting	Zenodo DOI maintenance	$0	Already covered
Total		$500

Alternative: $0 Budget Option

If the goal is solely peer review without incentivized bounties, the proposal can run with $0 funding. Reviews will still happen—they just may be fewer and slower.

The power of the challenge does not depend on funding. It depends on the quality of the work.

6. References

Zenodo (2026). IEEE Standard for Substrate-Native Integer Computing (Zone 0). DOI: 10.5281/zenodo.21514923
Zenodo (2026). NUMEN: PI-Origin Architecture and Design. DOI: 10.5281/zenodo.20045701
Zenodo (2026). NUMEN: Visualizations, Specifications, and Applications. DOI: 10.5281/zenodo.20046158
Zenodo (2026). Aurum/QuatOS–PhiNet: A Self-Regulating Digital Organism on Bare Metal. DOI: 10.5281/zenodo.20786536
Zenodo (2026). NUMEN_OS. DOI: 10.5281/zenodo.21458931
Zenodo (2026). Bare Metal Operating Systems: The power of integer only q32.32. DOI: 10.5281/zenodo.21479299
Zenodo (2026). FUN WITH QUANTUM COMPUTING. DOI: 10.5281/zenodo.22096536
Zenodo (2026). Random NUMEN OS audio clips. DOI: 10.5281/zenodo.22283557
IEEE (2019). IEEE Standard for Floating-Point Arithmetic (IEEE Std 754™-2019). IEEE Computer Society.
Landauer, R. (1961). Irreversibility and Heat Generation in the Computing Process. IBM Journal of Research and Development, 5(3), 183-191.
Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and Policy Considerations for Deep Learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645-3650.
Patterson, D., et al. (2021). Carbon Emissions and Large Neural Network Training. arXiv:2104.10350.
Banach, S. (1922). Sur les opérations dans les ensembles abstraits et leur application aux équations intégrales. Fundamenta Mathematicae, 3, 133-181.

8e:T1679e,

Zone 0 Challenge – Prove Me Wrong

1. Abstract

Scientific Rationale and Importance

Research Plan

This proposal does not seek funding for new research. It seeks funding for rigorous, open peer review of existing work that is already published, code-complete, and measured. The plan is simple:

Submit the IEEE standard document and supporting materials to ResearchHub for Crowd Review
Use funding to incentivize high-quality, detailed reviews from domain experts
Document all findings publicly, regardless of outcome
If the work holds up, use the validated results to advocate for energy-efficient computing
If flaws are found, fix them and repeat

Team and Facilities

Principal Investigator: Dan (independent researcher, 15 months on this project)
Facilities: One old laptop, 0 dollars in bank account, and publicly available code
Ethics: No human or animal subjects; all data is synthetic or publicly available

Estimated Timeline

Phase 1	Week 1	Submit proposal and materials to ResearchHub
Phase 2	Weeks 2	Open peer review period
Phase 3	Weeks 3-4	Compile and respond to reviews
Phase 4	Weeks 5-10	Publish final validated results

Data Sharing Commitment

2. Introduction

This proposal does not seek funding for new research. It seeks funding for rigorous, open peer Theoretical Background

The Three Crises

The Energy Crisis

The Reproducibility Crisis

The Intellectual Property Crisis

The Zone 0 Alternative

Zone 0 is a complete alternative computational substrate built on integers. Integers are associative, deterministic, and verifiable. The stack has eight layers:

Layer

Description

1	Silicon voltage
2	Voltage to Q32.32 integer
3	Integer-only arithmetic library (146 lines of C)
4	CORDIC trigonometry (28 iterations, shift+add only)
5	Integer Newton square root (128-bit)
6	Learning rule: Banach contraction (5 instructions, 3 cycles)
7	Quaternary (2-bit) weight system
8	256-symbol integer bytecode to symbolic language

What Already Exists

Complete working code: 484 source files, 36 leaves, 8 subdomains
Measured training energy: 0.414 joules (RAPL-instrumented)
Determinism verification: Bit-exact by construction
Memory bandwidth: 16× less than float32 (2-bit vs. 32-bit)
Published IEEE standard draft
All materials public with DOIs on Zenodo

What This Proposal Asks For

Either way, science wins.

Hypotheses

H1 (Primary): Determinism by Construction

Hypothesis: Zone 0 produces bit-exact deterministic outputs across all operations, with 100% reproducibility between runs.

Supporting Evidence: Existing code produces bit-identical outputs across 329,176 test vectors. This has been verified by cryptographic hash comparison.

Test: Reviewers will verify that the code produces identical outputs across multiple runs, across different hardware, and across different compilation environments.

H2 (Primary): Energy Reduction

Hypothesis: Zone 0 achieves a ≥ 10⁸× reduction in energy consumption compared to floating-point AI systems for equivalent learning tasks.

Supporting Evidence: RAPL-instrumented measurements show 0.414 joules for a complete training run. Energy breakdown by operation is documented in the IEEE standard.

Test: Reviewers will replicate the energy measurements and compare to published baselines for equivalent workloads.

H3 (Secondary): Memory Bandwidth Reduction

Hypothesis: Zone 0's quaternary (2-bit) weight system moves 16× fewer bytes than float32, with no loss in learning capability.

Rationale: 2-bit weights require 0.25 bytes each, compared to 4 bytes for float32. The Banach contraction learning rule operates directly on these 2-bit values.

Supporting Evidence: The quaternary weight system is implemented and operational. Accuracy comparisons to float32 are documented.

Test: Reviewers will replicate the accuracy comparisons and measure memory bandwidth utilization.

H4 (Secondary): Cryptographic Chain of Custody

Hypothesis: Zone 0's deterministic, integer-only architecture enables cryptographic chain-of-custody for IP provenance that is legally defensible.

Rationale: Deterministic computation means every operation can be hashed and verified. The ROOT_SEAL.json mechanism provides a cryptographic signature chain.

Supporting Evidence: The cryptographic chain-of-custody implementation is documented in the Phi-Net Data Schema record and the IEEE standard.

Test: Reviewers will audit the cryptographic implementation and assess its legal defensibility.

H5 (Secondary): Generalizability

Hypothesis: Zone 0 is capable of general-purpose computing, not just specialized AI workloads.

Rationale: The eight-layer stack from voltage to symbolic language is Turing-complete by construction.

Supporting Evidence: The stack architecture is mapped across 8 subdomains and 36 leaves, covering arithmetic, control flow, memory, and I/O.

Test: Reviewers will assess the completeness of the stack and identify any missing primitives.

3. Methods

Participants/Sample

Category Description

Reviewers	Domain experts in computer architecture, numerical computing, AI, energy efficiency, and cryptography
Target sample	Minimum 5 reviews, ideally 10-20 reviews
Recruitment	ResearchHub community; direct outreach to experts via email; sharing with existing Zenodo audience

Inclusion Criteria for Reviewers:

Demonstrated expertise in relevant domain
Willing to provide public, constructive feedback
No conflict of interest

Exclusion Criteria:

Anonymous or unverified accounts
Non-constructive feedback (ad hominem, dismissal without evidence)

Materials and Procedures

Materials

Material

Source

DOI/Link

IEEE Standard for Substrate-Native Integer Computing (Zone 0)	Zenodo	10.5281/zenodo.21514923
NUMEN: PI-Origin Architecture and Design	Zenodo	10.5281/zenodo.20045701
NUMEN: Visualizations, Specifications, and Applications	Zenodo	10.5281/zenodo.20046158
Aurum/QuatOS–PhiNet: Self-Regulating Digital Organism	Zenodo	10.5281/zenodo.20786536
NUMEN_OS	Zenodo	10.5281/zenodo.21458931
Bare Metal Operating Systems: Integer-only Q32.32	Zenodo	10.5281/zenodo.21479299
Fun With Quantum Computing	Zenodo	10.5281/zenodo.22096536
Podcast episodes (audio summaries)	Zenodo	10.5281/zenodo.22283557
Source code	Included in each record	Publicly accessible

Procedures

Submission: All materials will be submitted to ResearchHub as a Crowd Review proposal
Review Invitation: Reviewers will be invited via ResearchHub, direct email, and social channels
Review Period: 14-day open review window (ResearchHub standard)
Review Criteria: Reviewers will score on a 1-5 scale across:
- Novelty and innovation
- Rigor and methodology
- Significance and impact
- Open science commitment
Response: All reviews will be responded to publicly and constructively
Revision: Based on valid criticisms, materials will be revised and re-submitted

Planned Analyses

For Each Hypothesis:

Hypothesis

Test

Success Criterion

H1 (Determinism)	Replicate code on different hardware	100% bit-identical outputs
H2 (Energy)	Replicate RAPL measurements	≤ 1 joule per training run
H3 (Memory)	Measure bandwidth utilization	≥ 10× reduction vs. float32
H4 (Crypto)	Audit chain-of-custody	No cryptographic vulnerabilities
H5 (Generalizability)	Assess stack completeness	No missing primitives

Interpretation Regardless of Outcome:

If hypotheses hold: The work is validated. Publish results widely, advocate for adoption.
If hypotheses fail: The flaws are identified. Fix them and repeat. Document everything.
If reviewers disagree: The debate is public. The data is public. Science proceeds.

This is the win-win.

Ethics and Data Management

Ethical Approval: Not required. No human or animal subjects. All data is synthetic or publicly available.

Confidentiality: All review data will be public. No sensitive information is involved.

Data Sharing: All data is already shared. All future data will be shared immediately.

Archiving: All materials are archived with DOIs on Zenodo.

4. Pilot Data

The following data already exists and demonstrates feasibility. This is not pilot data for a future study—it is data from the completed work.

Energy Measurements

Run Energy (Joules)

1	0.412
2	0.415
3	0.413
4	0.414
5	0.416
6	0.413
7	0.414
8	0.415
9	0.414
10	0.413

Mean: 0.414 joules
Standard deviation: 0.001
95% CI: [0.413, 0.415]

Reproducibility Verification

Test Runs Identical?

Bit-exact output verification

329,176 test vectors

100%

Traction on Zenodo

As of September 2026:

Metric Value

Total downloads (top 7 records)	1,200+
Download-to-view ratio	2.2:1
Records published	61
Months active	4

The move to ResearchHub is the natural next step.

Current Resources

Resource

Status

Bank account	$0
Equipment	One old laptop
Code	Complete and public
Publications	61 DOIs on Zenodo
Audience	1,200+ downloads
Institutional backing	None
Formal training in CS	None
Time invested	15 months

This proposal is not a grant request for a startup. It is a request for peer review, with a modest budget to incentivize high-quality engagement.

5. Budget

This is the minimum viable budget to make the challenge work. The goal is to get serious, rigorous reviews from domain experts. The budget is to incentivize that engagement.

Reviewer Bounties	10 reviewers at $50 each	$500	Incentivizes high-quality, detailed reviews
ResearchHub Fee	Platform fee	$0	ResearchHub takes no fee for crowdfunding
Hosting	Zenodo DOI maintenance	$0	Already covered
Total		$500

Alternative: $0 Budget Option

If the goal is solely peer review without incentivized bounties, the proposal can run with $0 funding. Reviews will still happen—they just may be fewer and slower.

The power of the challenge does not depend on funding. It depends on the quality of the work.

6. References

Zenodo (2026). IEEE Standard for Substrate-Native Integer Computing (Zone 0). DOI: 10.5281/zenodo.21514923
Zenodo (2026). NUMEN: PI-Origin Architecture and Design. DOI: 10.5281/zenodo.20045701
Zenodo (2026). NUMEN: Visualizations, Specifications, and Applications. DOI: 10.5281/zenodo.20046158
Zenodo (2026). Aurum/QuatOS–PhiNet: A Self-Regulating Digital Organism on Bare Metal. DOI: 10.5281/zenodo.20786536
Zenodo (2026). NUMEN_OS. DOI: 10.5281/zenodo.21458931
Zenodo (2026). Bare Metal Operating Systems: The power of integer only q32.32. DOI: 10.5281/zenodo.21479299
Zenodo (2026). FUN WITH QUANTUM COMPUTING. DOI: 10.5281/zenodo.22096536
Zenodo (2026). Random NUMEN OS audio clips. DOI: 10.5281/zenodo.22283557
IEEE (2019). IEEE Standard for Floating-Point Arithmetic (IEEE Std 754™-2019). IEEE Computer Society.
Landauer, R. (1961). Irreversibility and Heat Generation in the Computing Process. IBM Journal of Research and Development, 5(3), 183-191.
Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and Policy Considerations for Deep Learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645-3650.
Patterson, D., et al. (2021). Carbon Emissions and Large Neural Network Training. arXiv:2104.10350.
Banach, S. (1922). Sur les opérations dans les ensembles abstraits et leur application aux équations intégrales. Fundamenta Mathematicae, 3, 133-181.

8f:T3c60,Zone 0 Challenge – Prove Me Wrong 1. Abstract Scientific Rationale and Importance The AI industry faces three existential crises: energy consumption (565 TWh annually and growing), reproducibility (floating-point non-associativity makes bit-exact replication impossible by construction), and intellectual property (black-box models cannot provide cryptographic chain-of-custody for training data or outputs). These are not inevitable trade-offs—they are consequences of architectural choices. Zone 0 is a complete, integer-only computational substrate from silicon voltage to symbolic language. It uses no IEEE-754 floating-point operations, no operating system abstractions, and no nondeterministic elements. The arithmetic floor is 146 lines of C (Q32.32 fixed-point). Training runs measure 0.414 joules—approximately 450,000,000× less energy than published estimates for large transformer training. Research Plan This proposal does not seek funding for new research. It seeks funding for rigorous, open peer review of existing work that is already published, code-complete, and measured. The plan is simple: Submit the IEEE standard document and supporting materials to ResearchHub for Crowd Review Use funding to incentivize high-quality, detailed reviews from domain experts Document all findings publicly, regardless of outcome If the work holds up, use the validated results to advocate for energy-efficient computing If flaws are found, fix them and repeat Team and Facilities Principal Investigator: Dan (independent researcher, 15 months on this project) Facilities: One old laptop, 0 dollars in bank account, and publicly available code Ethics: No human or animal subjects; all data is synthetic or publicly available Estimated Timeline Phase 1 Week 1 Submit proposal and materials to ResearchHub Phase 2 Weeks 2 Open peer review period Phase 3 Weeks 3-4 Compile and respond to reviews Phase 4 Weeks 5-10 Publish final validated results Data Sharing Commitment All code, measurements, telemetry, and supporting materials are already publicly available with DOIs on Zenodo. All future results will be shared immediately and openly. Data sharing is not a future promise—it is already the practice. 2. Introduction This proposal does not seek funding for new research. It seeks funding for rigorous, open peer Theoretical Background Current AI infrastructure is built on IEEE-754 floating-point arithmetic. This standard was designed for scientific computing, numerical simulation, and graphics—not for AI. Its defining characteristic for AI is a bug: floating-point addition is non-associative. This means (a + b) + c ≠ a + (b + c). When multiplied across thousands of GPUs with nondeterministic reduction orders, results are unreproducible by construction. The industry has accepted this as a cost of doing business. The costs are now existential. The Three Crises The Energy Crisis Training a single large language model consumes megawatt-scale power over months. Global AI compute approaches 565 TWh annually—equivalent to the electricity consumption of entire nations. This is not sustainable. The Reproducibility Crisis Because floating-point is non-associative and GPU operations are nondeterministic, no two training runs produce bit-identical results. This means AI research is not reproducible by design. Papers cannot be independently verified. The Intellectual Property Crisis Without deterministic provenance, ownership of AI-generated outputs is legally indefensible. Who owns what the black box produces? The answer is: nobody can prove it, because nobody can trace the chain of custody. The Zone 0 Alternative Zone 0 is a complete alternative computational substrate built on integers. Integers are associative, deterministic, and verifiable. The stack has eight layers: Layer Description 1 Silicon voltage 2 Voltage to Q32.32 integer 3 Integer-only arithmetic library (146 lines of C) 4 CORDIC trigonometry (28 iterations, shift+add only) 5 Integer Newton square root (128-bit) 6 Learning rule: Banach contraction (5 instructions, 3 cycles) 7 Quaternary (2-bit) weight system 8 256-symbol integer bytecode to symbolic language What Already Exists Complete working code: 484 source files, 36 leaves, 8 subdomains Measured training energy: 0.414 joules (RAPL-instrumented) Determinism verification: Bit-exact by construction Memory bandwidth: 16× less than float32 (2-bit vs. 32-bit) Published IEEE standard draft All materials public with DOIs on Zenodo What This Proposal Asks For Not permission. Not institutional backing. Not a salary. Peer review. Scrutiny. The chance to have the work torn apart by smart people. If it holds up, the energy argument becomes undeniable. If it doesn't, we find the flaw and fix it. Either way, science wins. Hypotheses H1 (Primary): Determinism by Construction Hypothesis: Zone 0 produces bit-exact deterministic outputs across all operations, with 100% reproducibility between runs. Rationale: Because Zone 0 uses integer arithmetic exclusively, and integers are associative, there are no sources of nondeterminism in the computational stack. Floating-point rounding, non-associativity, and nondeterministic reduction orders are absent by design. Supporting Evidence: Existing code produces bit-identical outputs across 329,176 test vectors. This has been verified by cryptographic hash comparison. Test: Reviewers will verify that the code produces identical outputs across multiple runs, across different hardware, and across different compilation environments. H2 (Primary): Energy Reduction Hypothesis: Zone 0 achieves a ≥ 10⁸× reduction in energy consumption compared to floating-point AI systems for equivalent learning tasks. Rationale: The Banach contraction learning rule executes in 5 integer instructions and 3 clock cycles. Full training runs have been measured at 0.414 joules. Published estimates for large transformer training range from 10⁸ to 10¹⁰ joules. Supporting Evidence: RAPL-instrumented measurements show 0.414 joules for a complete training run. Energy breakdown by operation is documented in the IEEE standard. Test: Reviewers will replicate the energy measurements and compare to published baselines for equivalent workloads. H3 (Secondary): Memory Bandwidth Reduction Hypothesis: Zone 0's quaternary (2-bit) weight system moves 16× fewer bytes than float32, with no loss in learning capability. Rationale: 2-bit weights require 0.25 bytes each, compared to 4 bytes for float32. The Banach contraction learning rule operates directly on these 2-bit values. Supporting Evidence: The quaternary weight system is implemented and operational. Accuracy comparisons to float32 are documented. Test: Reviewers will replicate the accuracy comparisons and measure memory bandwidth utilization. H4 (Secondary): Cryptographic Chain of Custody Hypothesis: Zone 0's deterministic, integer-only architecture enables cryptographic chain-of-custody for IP provenance that is legally defensible. Rationale: Deterministic computation means every operation can be hashed and verified. The ROOT_SEAL.json mechanism provides a cryptographic signature chain. Supporting Evidence: The cryptographic chain-of-custody implementation is documented in the Phi-Net Data Schema record and the IEEE standard. Test: Reviewers will audit the cryptographic implementation and assess its legal defensibility. H5 (Secondary): Generalizability Hypothesis: Zone 0 is capable of general-purpose computing, not just specialized AI workloads. Rationale: The eight-layer stack from voltage to symbolic language is Turing-complete by construction. Supporting Evidence: The stack architecture is mapped across 8 subdomains and 36 leaves, covering arithmetic, control flow, memory, and I/O. Test: Reviewers will assess the completeness of the stack and identify any missing primitives. 3. Methods Participants/Sample Category Description Reviewers Domain experts in computer architecture, numerical computing, AI, energy efficiency, and cryptography Target sample Minimum 5 reviews, ideally 10-20 reviews Recruitment ResearchHub community; direct outreach to experts via email; sharing with existing Zenodo audience Inclusion Criteria for Reviewers: Demonstrated expertise in relevant domain Willing to provide public, constructive feedback No conflict of interest Exclusion Criteria: Anonymous or unverified accounts Non-constructive feedback (ad hominem, dismissal without evidence) Materials and Procedures Materials Material Source DOI/Link IEEE Standard for Substrate-Native Integer Computing (Zone 0) Zenodo 10.5281/zenodo.21514923 NUMEN: PI-Origin Architecture and Design Zenodo 10.5281/zenodo.20045701 NUMEN: Visualizations, Specifications, and Applications Zenodo 10.5281/zenodo.20046158 Aurum/QuatOS–PhiNet: Self-Regulating Digital Organism Zenodo 10.5281/zenodo.20786536 NUMEN_OS Zenodo 10.5281/zenodo.21458931 Bare Metal Operating Systems: Integer-only Q32.32 Zenodo 10.5281/zenodo.21479299 Fun With Quantum Computing Zenodo 10.5281/zenodo.22096536 Podcast episodes (audio summaries) Zenodo 10.5281/zenodo.22283557 Source code Included in each record Publicly accessible Procedures Submission: All materials will be submitted to ResearchHub as a Crowd Review proposal Review Invitation: Reviewers will be invited via ResearchHub, direct email, and social channels Review Period: 14-day open review window (ResearchHub standard) Review Criteria: Reviewers will score on a 1-5 scale across: Novelty and innovation Rigor and methodology Significance and impact Open science commitment Response: All reviews will be responded to publicly and constructively Revision: Based on valid criticisms, materials will be revised and re-submitted Planned Analyses For Each Hypothesis: Hypothesis Test Success Criterion H1 (Determinism) Replicate code on different hardware 100% bit-identical outputs H2 (Energy) Replicate RAPL measurements ≤ 1 joule per training run H3 (Memory) Measure bandwidth utilization ≥ 10× reduction vs. float32 H4 (Crypto) Audit chain-of-custody No cryptographic vulnerabilities H5 (Generalizability) Assess stack completeness No missing primitives Interpretation Regardless of Outcome: If hypotheses hold: The work is validated. Publish results widely, advocate for adoption. If hypotheses fail: The flaws are identified. Fix them and repeat. Document everything. If reviewers disagree: The debate is public. The data is public. Science proceeds. This is the win-win. Ethics and Data Management Ethical Approval: Not required. No human or animal subjects. All data is synthetic or publicly available. Confidentiality: All review data will be public. No sensitive information is involved. Data Sharing: All data is already shared. All future data will be shared immediately. Archiving: All materials are archived with DOIs on Zenodo. 4. Pilot Data The following data already exists and demonstrates feasibility. This is not pilot data for a future study—it is data from the completed work. Energy Measurements Run Energy (Joules) 1 0.412 2 0.415 3 0.413 4 0.414 5 0.416 6 0.413 7 0.414 8 0.415 9 0.414 10 0.413 Mean: 0.414 joules Standard deviation: 0.001 95% CI: [0.413, 0.415] Reproducibility Verification Test Runs Identical? Bit-exact output verification 329,176 test vectors 100% Traction on Zenodo As of September 2026: Metric Value Total downloads (top 7 records) 1,200+ Download-to-view ratio 2.2:1 Records published 61 Months active 4 This traction demonstrates that the work is already reaching an audience. The download-to-view ratio indicates the audience is engaged and serious—they are downloading and consuming, not just browsing. The move to ResearchHub is the natural next step. Current Resources Resource Status Bank account $0 Equipment One old laptop Code Complete and public Publications 61 DOIs on Zenodo Audience 1,200+ downloads Institutional backing None Formal training in CS None Time invested 15 months This proposal is not a grant request for a startup. It is a request for peer review, with a modest budget to incentivize high-quality engagement. 5. Budget This is the minimum viable budget to make the challenge work. The goal is to get serious, rigorous reviews from domain experts. The budget is to incentivize that engagement. Reviewer Bounties 10 reviewers at $50 each $500 Incentivizes high-quality, detailed reviews ResearchHub Fee Platform fee $0 ResearchHub takes no fee for crowdfunding Hosting Zenodo DOI maintenance $0 Already covered Total $500 Alternative: $0 Budget Option If the goal is solely peer review without incentivized bounties, the proposal can run with $0 funding. Reviews will still happen—they just may be fewer and slower. The power of the challenge does not depend on funding. It depends on the quality of the work. 6. References Zenodo (2026). IEEE Standard for Substrate-Native Integer Computing (Zone 0). DOI: 10.5281/zenodo.21514923 Zenodo (2026). NUMEN: PI-Origin Architecture and Design. DOI: 10.5281/zenodo.20045701 Zenodo (2026). NUMEN: Visualizations, Specifications, and Applications. DOI: 10.5281/zenodo.20046158 Zenodo (2026). Aurum/QuatOS–PhiNet: A Self-Regulating Digital Organism on Bare Metal. DOI: 10.5281/zenodo.20786536 Zenodo (2026). NUMEN_OS. DOI: 10.5281/zenodo.21458931 Zenodo (2026). Bare Metal Operating Systems: The power of integer only q32.32. DOI: 10.5281/zenodo.21479299 Zenodo (2026). FUN WITH QUANTUM COMPUTING. DOI: 10.5281/zenodo.22096536 Zenodo (2026). Random NUMEN OS audio clips. DOI: 10.5281/zenodo.22283557 IEEE (2019). IEEE Standard for Floating-Point Arithmetic (IEEE Std 754™-2019). IEEE Computer Society. Landauer, R. (1961). Irreversibility and Heat Generation in the Computing Process. IBM Journal of Research and Development, 5(3), 183-191. Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and Policy Considerations for Deep Learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645-3650. Patterson, D., et al. (2021). Carbon Emissions and Large Neural Network Training. arXiv:2104.10350. Banach, S. (1922). Sur les opérations dans les ensembles abstraits et leur application aux équations intégrales. 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97:T115b6,

1. Abstract

Scientific Rationale and Importance

Research Plan

This proposal does not seek funding for new research. It seeks funding for rigorous, open peer review of existing work that is already published, code-complete, and measured. The plan is simple:

Submit the IEEE standard document and supporting materials to ResearchHub for Crowd Review
Use funding to incentivize high-quality, detailed reviews from domain experts
Document all findings publicly, regardless of outcome
If the work holds up, use the validated results to advocate for energy-efficient computing
If flaws are found, fix them and repeat

Team and Facilities

Principal Investigator: Dan (independent researcher, 15 months on this project)
Facilities: One old laptop, 0 dollars in bank account, and publicly available code
Ethics: No human or animal subjects; all data is synthetic or publicly available

Estimated Timeline

Phase 1	Week 1	Submit proposal and materials to ResearchHub
Phase 2	Weeks 2	Open peer review period
Phase 3	Weeks 3-4	Compile and respond to reviews
Phase 4	Weeks 5-10	Publish final validated results

Data Sharing Commitment

2. Introduction

This proposal does not seek funding for new research. It seeks funding for rigorous, open peer Theoretical Background

The Three Crises

The Energy Crisis

The Reproducibility Crisis

The Intellectual Property Crisis

The Zone 0 Alternative

Zone 0 is a complete alternative computational substrate built on integers. Integers are associative, deterministic, and verifiable. The stack has eight layers:

Layer

Description

1	Silicon voltage
2	Voltage to Q32.32 integer
3	Integer-only arithmetic library (146 lines of C)
4	CORDIC trigonometry (28 iterations, shift+add only)
5	Integer Newton square root (128-bit)
6	Learning rule: Banach contraction (5 instructions, 3 cycles)
7	Quaternary (2-bit) weight system
8	256-symbol integer bytecode to symbolic language

What Already Exists

Complete working code: 484 source files, 36 leaves, 8 subdomains
Measured training energy: 0.414 joules (RAPL-instrumented)
Determinism verification: Bit-exact by construction
Memory bandwidth: 16× less than float32 (2-bit vs. 32-bit)
Published IEEE standard draft
All materials public with DOIs on Zenodo

What This Proposal Asks For

Either way, science wins.

Hypotheses

H1 (Primary): Determinism by Construction

Hypothesis: Zone 0 produces bit-exact deterministic outputs across all operations, with 100% reproducibility between runs.

Supporting Evidence: Existing code produces bit-identical outputs across 329,176 test vectors. This has been verified by cryptographic hash comparison.

Test: Reviewers will verify that the code produces identical outputs across multiple runs, across different hardware, and across different compilation environments.

H2 (Primary): Energy Reduction

Hypothesis: Zone 0 achieves a ≥ 10⁸× reduction in energy consumption compared to floating-point AI systems for equivalent learning tasks.

Supporting Evidence: RAPL-instrumented measurements show 0.414 joules for a complete training run. Energy breakdown by operation is documented in the IEEE standard.

Test: Reviewers will replicate the energy measurements and compare to published baselines for equivalent workloads.

H3 (Secondary): Memory Bandwidth Reduction

Hypothesis: Zone 0's quaternary (2-bit) weight system moves 16× fewer bytes than float32, with no loss in learning capability.

Rationale: 2-bit weights require 0.25 bytes each, compared to 4 bytes for float32. The Banach contraction learning rule operates directly on these 2-bit values.

Supporting Evidence: The quaternary weight system is implemented and operational. Accuracy comparisons to float32 are documented.

Test: Reviewers will replicate the accuracy comparisons and measure memory bandwidth utilization.

H4 (Secondary): Cryptographic Chain of Custody

Hypothesis: Zone 0's deterministic, integer-only architecture enables cryptographic chain-of-custody for IP provenance that is legally defensible.

Rationale: Deterministic computation means every operation can be hashed and verified. The ROOT_SEAL.json mechanism provides a cryptographic signature chain.

Supporting Evidence: The cryptographic chain-of-custody implementation is documented in the Phi-Net Data Schema record and the IEEE standard.

Test: Reviewers will audit the cryptographic implementation and assess its legal defensibility.

H5 (Secondary): Generalizability

Hypothesis: Zone 0 is capable of general-purpose computing, not just specialized AI workloads.

Rationale: The eight-layer stack from voltage to symbolic language is Turing-complete by construction.

Supporting Evidence: The stack architecture is mapped across 8 subdomains and 36 leaves, covering arithmetic, control flow, memory, and I/O.

Test: Reviewers will assess the completeness of the stack and identify any missing primitives.

3. Methods

Participants/Sample

Category Description

Reviewers	Domain experts in computer architecture, numerical computing, AI, energy efficiency, and cryptography
Target sample	Minimum 5 reviews, ideally 10-20 reviews
Recruitment	ResearchHub community; direct outreach to experts via email; sharing with existing Zenodo audience

Inclusion Criteria for Reviewers:

Demonstrated expertise in relevant domain
Willing to provide public, constructive feedback
No conflict of interest

Exclusion Criteria:

Anonymous or unverified accounts
Non-constructive feedback (ad hominem, dismissal without evidence)

Materials and Procedures

Materials

Material

Source

DOI/Link

IEEE Standard for Substrate-Native Integer Computing (Zone 0)	Zenodo	10.5281/zenodo.21514923
NUMEN: PI-Origin Architecture and Design	Zenodo	10.5281/zenodo.20045701
NUMEN: Visualizations, Specifications, and Applications	Zenodo	10.5281/zenodo.20046158
Aurum/QuatOS–PhiNet: Self-Regulating Digital Organism	Zenodo	10.5281/zenodo.20786536
NUMEN_OS	Zenodo	10.5281/zenodo.21458931
Bare Metal Operating Systems: Integer-only Q32.32	Zenodo	10.5281/zenodo.21479299
Fun With Quantum Computing	Zenodo	10.5281/zenodo.22096536
Podcast episodes (audio summaries)	Zenodo	10.5281/zenodo.22283557
Source code	Included in each record	Publicly accessible

Procedures

Submission: All materials will be submitted to ResearchHub as a Crowd Review proposal
Review Invitation: Reviewers will be invited via ResearchHub, direct email, and social channels
Review Period: 14-day open review window (ResearchHub standard)
Review Criteria: Reviewers will score on a 1-5 scale across:
- Novelty and innovation
- Rigor and methodology
- Significance and impact
- Open science commitment
Response: All reviews will be responded to publicly and constructively
Revision: Based on valid criticisms, materials will be revised and re-submitted

Planned Analyses

For Each Hypothesis:

Hypothesis

Test

Success Criterion

H1 (Determinism)	Replicate code on different hardware	100% bit-identical outputs
H2 (Energy)	Replicate RAPL measurements	≤ 1 joule per training run
H3 (Memory)	Measure bandwidth utilization	≥ 10× reduction vs. float32
H4 (Crypto)	Audit chain-of-custody	No cryptographic vulnerabilities
H5 (Generalizability)	Assess stack completeness	No missing primitives

Interpretation Regardless of Outcome:

If hypotheses hold: The work is validated. Publish results widely, advocate for adoption.
If hypotheses fail: The flaws are identified. Fix them and repeat. Document everything.
If reviewers disagree: The debate is public. The data is public. Science proceeds.

This is the win-win.

Ethics and Data Management

Ethical Approval: Not required. No human or animal subjects. All data is synthetic or publicly available.

Confidentiality: All review data will be public. No sensitive information is involved.

Data Sharing: All data is already shared. All future data will be shared immediately.

Archiving: All materials are archived with DOIs on Zenodo.

4. Pilot Data

The following data already exists and demonstrates feasibility. This is not pilot data for a future study—it is data from the completed work.

Energy Measurements

Run Energy (Joules)

1	0.412
2	0.415
3	0.413
4	0.414
5	0.416
6	0.413
7	0.414
8	0.415
9	0.414
10	0.413

Mean: 0.414 joules
Standard deviation: 0.001
95% CI: [0.413, 0.415]

Reproducibility Verification

Test Runs Identical?

Bit-exact output verification

329,176 test vectors

100%

Traction on Zenodo

As of September 2026:

Metric Value

Total downloads (top 7 records)	1,200+
Download-to-view ratio	2.2:1
Records published	61
Months active	4

The move to ResearchHub is the natural next step.

Current Resources

Resource

Status

Bank account	$0
Equipment	One old laptop
Code	Complete and public
Publications	61 DOIs on Zenodo
Audience	1,200+ downloads
Institutional backing	None
Formal training in CS	None
Time invested	15 months

This proposal is not a grant request for a startup. It is a request for peer review, with a modest budget to incentivize high-quality engagement.

5. Budget

This is the minimum viable budget to make the challenge work. The goal is to get serious, rigorous reviews from domain experts. The budget is to incentivize that engagement.

Reviewer Bounties	10 reviewers at $50 each	$500	Incentivizes high-quality, detailed reviews
ResearchHub Fee	Platform fee	$0	ResearchHub takes no fee for crowdfunding
Hosting	Zenodo DOI maintenance	$0	Already covered
Total		$500

Alternative: $0 Budget Option

If the goal is solely peer review without incentivized bounties, the proposal can run with $0 funding. Reviews will still happen—they just may be fewer and slower.

The power of the challenge does not depend on funding. It depends on the quality of the work.

6. References

Zenodo (2026). IEEE Standard for Substrate-Native Integer Computing (Zone 0). DOI: 10.5281/zenodo.21514923
Zenodo (2026). NUMEN: PI-Origin Architecture and Design. DOI: 10.5281/zenodo.20045701
Zenodo (2026). NUMEN: Visualizations, Specifications, and Applications. DOI: 10.5281/zenodo.20046158
Zenodo (2026). Aurum/QuatOS–PhiNet: A Self-Regulating Digital Organism on Bare Metal. DOI: 10.5281/zenodo.20786536
Zenodo (2026). NUMEN_OS. DOI: 10.5281/zenodo.21458931
Zenodo (2026). Bare Metal Operating Systems: The power of integer only q32.32. DOI: 10.5281/zenodo.21479299
Zenodo (2026). FUN WITH QUANTUM COMPUTING. DOI: 10.5281/zenodo.22096536
Zenodo (2026). Random NUMEN OS audio clips. DOI: 10.5281/zenodo.22283557
IEEE (2019). IEEE Standard for Floating-Point Arithmetic (IEEE Std 754™-2019). IEEE Computer Society.
Landauer, R. (1961). Irreversibility and Heat Generation in the Computing Process. IBM Journal of Research and Development, 5(3), 183-191.
Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and Policy Considerations for Deep Learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645-3650.
Patterson, D., et al. (2021). Carbon Emissions and Large Neural Network Training. arXiv:2104.10350.
Banach, S. (1922). Sur les opérations dans les ensembles abstraits et leur application aux équations intégrales. Fundamenta Mathematicae, 3, 133-181.

98:T52d,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"As of now, the NUMEN system and architecture has 8 provisional patents and one copyright backing it. I have just received the final piece of protection for the whole stack and now the process can begin for expansion. If anyone would like to check the paper, it can be found at "},{"type":"richLink","attrs":{"url":"https://doi.org/10.5281/zenodo.23269179","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}}]},{"type":"paragraph","content":[{"type":"text","text":"These are not white papers or a fantasy or some vibe coded trash. The USPTO gave me the green light and can now pursue the project further. This opens up new avenues for validation within the computer science communities. To better understand the possibilities, the website "},{"type":"text","marks":[{"type":"link","attrs":{"href":"https://dragolich.abacusai.app","target":"_blank","rel":"noopener noreferrer nofollow","class":"text-blue-600 hover:text-blue-800 cursor-pointer relative group","title":null,"noRichPreview":false}}],"text":"https://dragolich.abacusai.app"},{"type":"text","text":" is the complete demonstration. Everything on the website describes exactly what is going on. It is not hype. It is the exact description of the process in action. "}]}]}99:T52d,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"As of now, the NUMEN system and architecture has 8 provisional patents and one copyright backing it. I have just received the final piece of protection for the whole stack and now the process can begin for expansion. If anyone would like to check the paper, it can be found at "},{"type":"richLink","attrs":{"url":"https://doi.org/10.5281/zenodo.23269179","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}}]},{"type":"paragraph","content":[{"type":"text","text":"These are not white papers or a fantasy or some vibe coded trash. The USPTO gave me the green light and can now pursue the project further. This opens up new avenues for validation within the computer science communities. To better understand the possibilities, the website "},{"type":"text","marks":[{"type":"link","attrs":{"href":"https://dragolich.abacusai.app","target":"_blank","rel":"noopener noreferrer nofollow","class":"text-blue-600 hover:text-blue-800 cursor-pointer relative group","title":null,"noRichPreview":false}}],"text":"https://dragolich.abacusai.app"},{"type":"text","text":" is the complete demonstration. Everything on the website describes exactly what is going on. It is not hype. It is the exact description of the process in action. "}]}]}9a:T7c0,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"It has taken the patent office 10 months to finally grant my provisional patent on geometric computation and the mathematical architecture it is built on. Although it took forever, I am finally able to say \"patent pending\" That was not the white paper. It was the full working system. Since that time, I have been able to bring the entire stack all the way down to the assembly level. The silicon itself. The hardest part has been convincing people that it is real. I have every file from every minute that went into this. The patent and the copyright office have had a real hard time grasping the concept and running the code, but with continued communication and me pretty much walking their specialist through the entire thing, it is finally done. Combined with the complete gutting of the government jobs and every department in washington under backlogs, I will take it as a win that I even got it. It is offical. Geometric computation built on first principals within the computer itself without a single library, GPU, or floating point in the entire stack. For context, by stack I mean operating system, self modifying coding, and active inference running right at the silicon itself. Excuse me if I am having a hard time explaining it, but that is the point of inventing something new into something we thought was already figured out. Guess not. Cheers for the support. Continue learning. Next comes the non-provisional patent which is not a problem. The copyright on the mathematical structure is also being processed and having to do the same thing with their office and walk them through the entire thing. They tell me it doesn't work, I explain to them how to do it, it takes them another 6 weeks to download NASM and run it and how to hook up the visual so they can see the data as it runs, than they have another problem. On and on. Than they send you a letter in the mail. Oh joy. "}]}]}9b:T7c0,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"It has taken the patent office 10 months to finally grant my provisional patent on geometric computation and the mathematical architecture it is built on. Although it took forever, I am finally able to say \"patent pending\" That was not the white paper. It was the full working system. Since that time, I have been able to bring the entire stack all the way down to the assembly level. The silicon itself. The hardest part has been convincing people that it is real. I have every file from every minute that went into this. The patent and the copyright office have had a real hard time grasping the concept and running the code, but with continued communication and me pretty much walking their specialist through the entire thing, it is finally done. Combined with the complete gutting of the government jobs and every department in washington under backlogs, I will take it as a win that I even got it. It is offical. Geometric computation built on first principals within the computer itself without a single library, GPU, or floating point in the entire stack. For context, by stack I mean operating system, self modifying coding, and active inference running right at the silicon itself. Excuse me if I am having a hard time explaining it, but that is the point of inventing something new into something we thought was already figured out. Guess not. Cheers for the support. Continue learning. Next comes the non-provisional patent which is not a problem. The copyright on the mathematical structure is also being processed and having to do the same thing with their office and walk them through the entire thing. They tell me it doesn't work, I explain to them how to do it, it takes them another 6 weeks to download NASM and run it and how to hook up the visual so they can see the data as it runs, than they have another problem. On and on. Than they send you a letter in the mail. Oh joy. "}]}]}9c:T741,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"Hello. I don't know if I made this clear in the \"Prove me Wrong\" proposal. Their is something that may not be apparent at first. Everything that I produce or make or work is being done with no depencies. No float math. Not even a mathlib, or numpy, or pytorch. None of it. That is the requirement for bare metal computation. So when you look at my work, just know it is all done without any of the handicaps people use to claim novelty. I can say it is truly novel and a different way to look at the stack. What is required? Where is the bloat. Why does everything turn to shit for no reason. None. Patch work. People have been doing patch work on infinity for the last 70 years. Yes I do preach. It is important. In response to this thought, I also have the challenge. "},{"type":"richLink","attrs":{"url":"https://dragolich.abacusai.app/challenge","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}},{"type":"text","text":"Here is exactly what I did and how I did it. Try to replicate this. See if you can do it. It took me 15 months. Pedal to the floor all out ALL I got. And I have a lot lot. My goal is not your validation. I don't need it. I am looking at it. Minute by minute. Engineering and mathematics. Alone. In my own world. So if you don't like certain things. Or this isn't how it works. The way it is working out sucks. It is a terrible job across the board between academia selling out to this AI mumbo jumbo. It is tool chains. Washing data. The mandela effect. Controlling the informaiton. This work proves that it is all wrong. Pieces and parts. The whole nest egg on a wet dream. This is how I talk. That shouldn't matter. The challenge is here. Replicate it. Make it better. See what I started with and see if you can do the same. "}]}]}9d:T741,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"Hello. I don't know if I made this clear in the \"Prove me Wrong\" proposal. Their is something that may not be apparent at first. Everything that I produce or make or work is being done with no depencies. No float math. Not even a mathlib, or numpy, or pytorch. None of it. That is the requirement for bare metal computation. So when you look at my work, just know it is all done without any of the handicaps people use to claim novelty. I can say it is truly novel and a different way to look at the stack. What is required? Where is the bloat. Why does everything turn to shit for no reason. None. Patch work. People have been doing patch work on infinity for the last 70 years. Yes I do preach. It is important. In response to this thought, I also have the challenge. "},{"type":"richLink","attrs":{"url":"https://dragolich.abacusai.app/challenge","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}},{"type":"text","text":"Here is exactly what I did and how I did it. Try to replicate this. See if you can do it. It took me 15 months. Pedal to the floor all out ALL I got. And I have a lot lot. My goal is not your validation. I don't need it. I am looking at it. Minute by minute. Engineering and mathematics. Alone. In my own world. So if you don't like certain things. Or this isn't how it works. The way it is working out sucks. It is a terrible job across the board between academia selling out to this AI mumbo jumbo. It is tool chains. Washing data. The mandela effect. Controlling the informaiton. This work proves that it is all wrong. Pieces and parts. The whole nest egg on a wet dream. This is how I talk. That shouldn't matter. The challenge is here. Replicate it. Make it better. See what I started with and see if you can do the same. "}]}]}9e:T8ef,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"About to surpass my goal of 1000 downloads on one upload to zenodo. To put into contexts why this is a goal is the metrics based on being a solo researcher and systems designer with no academic or institutional backing. A study in 2026 followed 88 uploads on niche fields. The average views were 3 and the average download being 3. The data was a bit skewed for a few outliers above 20 downloads, so use that for what it is. This is also in 5 months time with a download to view ratio @ approximately 2.2:1 which the data says is an outlier. An anonmoly if you will. So I am taking this as a win and hope this inspires others to put the data up to the test. It is all there for the taking. Library of possible knowledge. I don't know what is useful for you. I just want to be useful in a positive way first. Show my value. I do care "},{"type":"text","marks":[{"type":"link","attrs":{"href":"https://doi.org/10.5281/zenodo.20045701","target":"_blank","rel":"noopener noreferrer nofollow","class":"text-blue-600 hover:text-blue-800 cursor-pointer relative group","title":null,"noRichPreview":false}}],"text":"Pi_origin_architecture_zenodo"},{"type":"text","text":" In fact, I care so much that this is my lifes work. Every ounce I got. Sometimes 40 hour work session. 10 hours a day, 7 days a week. All my own money. All my own work. Holding my own standard with one idea. The planet is being raped and fisted. And if you don't like my language, thats what is happening. You can't eat microchips. You can't drink the diesel fuel. It is not neccessary to live this way to be better. No tool can make you better. that is up to you. Learning is an experience, not an answer. We share this with others because it makes us feel good to share the experience. To not tell you how to live, but to show you other parts of the map that exist. Some are scarier than others (8 years of rock climbing, mostly without pads or safety,) but the adventure is personal. The feeling. It gives me great joy to share. Thanks to everyone for allowing me to contribute a bit. I don't want to step on toes, but if you are moving to slow, I will just push your a** out of the way. With nothing but my words and my work. Cheers. "}]}]}9f:T8ef,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"About to surpass my goal of 1000 downloads on one upload to zenodo. To put into contexts why this is a goal is the metrics based on being a solo researcher and systems designer with no academic or institutional backing. A study in 2026 followed 88 uploads on niche fields. The average views were 3 and the average download being 3. The data was a bit skewed for a few outliers above 20 downloads, so use that for what it is. This is also in 5 months time with a download to view ratio @ approximately 2.2:1 which the data says is an outlier. An anonmoly if you will. So I am taking this as a win and hope this inspires others to put the data up to the test. It is all there for the taking. Library of possible knowledge. I don't know what is useful for you. I just want to be useful in a positive way first. Show my value. I do care "},{"type":"text","marks":[{"type":"link","attrs":{"href":"https://doi.org/10.5281/zenodo.20045701","target":"_blank","rel":"noopener noreferrer nofollow","class":"text-blue-600 hover:text-blue-800 cursor-pointer relative group","title":null,"noRichPreview":false}}],"text":"Pi_origin_architecture_zenodo"},{"type":"text","text":" In fact, I care so much that this is my lifes work. Every ounce I got. Sometimes 40 hour work session. 10 hours a day, 7 days a week. All my own money. All my own work. Holding my own standard with one idea. The planet is being raped and fisted. And if you don't like my language, thats what is happening. You can't eat microchips. You can't drink the diesel fuel. It is not neccessary to live this way to be better. No tool can make you better. that is up to you. Learning is an experience, not an answer. We share this with others because it makes us feel good to share the experience. To not tell you how to live, but to show you other parts of the map that exist. Some are scarier than others (8 years of rock climbing, mostly without pads or safety,) but the adventure is personal. The feeling. It gives me great joy to share. Thanks to everyone for allowing me to contribute a bit. I don't want to step on toes, but if you are moving to slow, I will just push your a** out of the way. With nothing but my words and my work. Cheers. "}]}]}a0:T7fd,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"I just want to be clear. Anyone can run the proofs at "},{"type":"text","marks":[{"type":"link","attrs":{"href":"https://zenodo.org/communities/pi_origin_architecture","target":"_blank","rel":"noopener noreferrer nofollow","class":"text-blue-600 hover:text-blue-800 cursor-pointer relative group","title":null,"noRichPreview":false}}],"text":"Dragolich Research Labs Zenodo library"},{"type":"text","text":" Research is for everyone. I don't know what the data means for the person reading it. I am not making claims. I am sharing information. Possibility. Of course I have my own objectives and of course what I have at home is already 100x ahead what the research is doing. I also threw in some off numbers at calculations and hidden traps for little AI scrappers that steal data and try to say a machine figured it out. I used the hard constants as little trackers. It cant be forged. Now that I have cryptographically tied all the information to this exact 2012 intel i7 w530 thinkpad down to the exact tick of a single cpu, well that is when I get to share. The sharing is the part I get to enjoy most. So. Just moving forward. If your ask to me is to do your work for you, well I can't do that. What I can provide is some possible starting points to learn from. The spark. Small things lead to big ideas. Learning is on a continuum. It is not a straight path. I am doing my best to present the information as best I can. At the end of the day, I am a systems engineer. I tinker and build. I am not a teacher. More of a shower. I present it. You tear it apart any way you want. That is science and that is my standard to myself. I don't like bs. I try to not leave mine where other people can step in it. Thanks for reading the update and I wil get back to you if you leave me a reasonable question I feel tells me your interested in the research. Not just proving me wrong in a social media setting to look tough. Real data to share and talk trash over. "}]}]}a1:T7fd,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"I just want to be clear. Anyone can run the proofs at "},{"type":"text","marks":[{"type":"link","attrs":{"href":"https://zenodo.org/communities/pi_origin_architecture","target":"_blank","rel":"noopener noreferrer nofollow","class":"text-blue-600 hover:text-blue-800 cursor-pointer relative group","title":null,"noRichPreview":false}}],"text":"Dragolich Research Labs Zenodo library"},{"type":"text","text":" Research is for everyone. I don't know what the data means for the person reading it. I am not making claims. I am sharing information. Possibility. Of course I have my own objectives and of course what I have at home is already 100x ahead what the research is doing. I also threw in some off numbers at calculations and hidden traps for little AI scrappers that steal data and try to say a machine figured it out. I used the hard constants as little trackers. It cant be forged. Now that I have cryptographically tied all the information to this exact 2012 intel i7 w530 thinkpad down to the exact tick of a single cpu, well that is when I get to share. The sharing is the part I get to enjoy most. So. Just moving forward. If your ask to me is to do your work for you, well I can't do that. What I can provide is some possible starting points to learn from. The spark. Small things lead to big ideas. Learning is on a continuum. It is not a straight path. I am doing my best to present the information as best I can. At the end of the day, I am a systems engineer. I tinker and build. I am not a teacher. More of a shower. I present it. You tear it apart any way you want. That is science and that is my standard to myself. I don't like bs. I try to not leave mine where other people can step in it. Thanks for reading the update and I wil get back to you if you leave me a reasonable question I feel tells me your interested in the research. Not just proving me wrong in a social media setting to look tough. Real data to share and talk trash over. "}]}]}a2:T708,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"I am upping the anti. The paper"},{"type":"text","marks":[{"type":"italic"}],"text":" \"All you need is attention\""},{"type":"text","text":" from 2017 has plagued my mind for the course of 15 months. After learning that the whole AI industry was building off of this one idea, well that didn't sit right with me. And for good reasons. Look at what all the unknowns brought to the table. Soooo. After sitting down and thinking about it, I decided to do what all scientist should do when presented with information. Tear it apart, find the gaps and try to show where and how I can make claims opposing this paper. Attention is not all you need. That is like saying all you need is metal to build a bridge. Enough metal, and you can build a bridge. Sure, it'll work sometimes. But when you don't know why it works, well you are only waiting for an accident. And since nothing they claim or show is bit exact and the best answer they can give of a proof, is that it is a black box and no one knows, is exactly the thing mathematicians and other academics and fields are worried about. Well, this is me calling them out. The way they are doing things, has the Palo Alto way written all over it. The horse breeders. Well I'm not a horse, and what I have together is not the same stuff they are trying to push for science. I want people to attack it. Devour it. Scrutinize it. All the numbers are there. That is science in my mind. So to anyone that is interested to see what the heck I am talking about, please go to the DOI and tear it apart. Thanks and have a great day!!! "},{"type":"richLink","attrs":{"url":"https://doi.org/10.5281/zenodo.22882089","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}}]}]}a3:T708,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"I am upping the anti. The paper"},{"type":"text","marks":[{"type":"italic"}],"text":" \"All you need is attention\""},{"type":"text","text":" from 2017 has plagued my mind for the course of 15 months. After learning that the whole AI industry was building off of this one idea, well that didn't sit right with me. And for good reasons. Look at what all the unknowns brought to the table. Soooo. After sitting down and thinking about it, I decided to do what all scientist should do when presented with information. Tear it apart, find the gaps and try to show where and how I can make claims opposing this paper. Attention is not all you need. That is like saying all you need is metal to build a bridge. Enough metal, and you can build a bridge. Sure, it'll work sometimes. But when you don't know why it works, well you are only waiting for an accident. And since nothing they claim or show is bit exact and the best answer they can give of a proof, is that it is a black box and no one knows, is exactly the thing mathematicians and other academics and fields are worried about. Well, this is me calling them out. The way they are doing things, has the Palo Alto way written all over it. The horse breeders. Well I'm not a horse, and what I have together is not the same stuff they are trying to push for science. I want people to attack it. Devour it. Scrutinize it. All the numbers are there. That is science in my mind. So to anyone that is interested to see what the heck I am talking about, please go to the DOI and tear it apart. Thanks and have a great day!!! "},{"type":"richLink","attrs":{"url":"https://doi.org/10.5281/zenodo.22882089","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}}]}]}a4:T682,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"Wanted to say thank you to "},{"type":"richLink","attrs":{"url":"https://www.researchhub.com/author/22","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}},{"type":"text","text":"I am working hard on everything and to the people that have contributed, I will not let you down. Thank you so much for putting your faith in me. I do not take that kind gesture lightly. I was able to do some more work on language and using lean4 coding to build a language verifier of sorts. The data is honest and is a continued library of resources that anyone can go, look around, and see if anything is useful for your work. "},{"type":"richLink","attrs":{"url":"https://doi.org/10.5281/zenodo.22881096","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}},{"type":"text","text":"Solving the language bottleneck is the next and final stage of the bare metal operating system. It has been the last of all of the work and has been the most difficult to tackle. But with the support of these two individuals that put their faith, and hard earned money, towards me, I was able to make some progress in the research that, I believe, is some substantial work towards proving that intelligence is not about throwing more compute at the problem. It is about applying the proper systems architecture and mathematical base to build these systems on rather than the bloated, floating point math that isn't even designed for AI stacks and GPU clusters. I aim to fix that. Not with mysticism, but with hard work, engineering, and not stopping until we solve the problems. "}]}]}a5:T682,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"Wanted to say thank you to "},{"type":"richLink","attrs":{"url":"https://www.researchhub.com/author/22","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}},{"type":"text","text":"I am working hard on everything and to the people that have contributed, I will not let you down. Thank you so much for putting your faith in me. I do not take that kind gesture lightly. I was able to do some more work on language and using lean4 coding to build a language verifier of sorts. The data is honest and is a continued library of resources that anyone can go, look around, and see if anything is useful for your work. "},{"type":"richLink","attrs":{"url":"https://doi.org/10.5281/zenodo.22881096","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}},{"type":"text","text":"Solving the language bottleneck is the next and final stage of the bare metal operating system. It has been the last of all of the work and has been the most difficult to tackle. But with the support of these two individuals that put their faith, and hard earned money, towards me, I was able to make some progress in the research that, I believe, is some substantial work towards proving that intelligence is not about throwing more compute at the problem. It is about applying the proper systems architecture and mathematical base to build these systems on rather than the bloated, floating point math that isn't even designed for AI stacks and GPU clusters. I aim to fix that. Not with mysticism, but with hard work, engineering, and not stopping until we solve the problems. "}]}]}a6:T410,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"Thank you to Cole Delyea. He is the first person to take a chance on me and my research. Thanks to him, I felt and ambitious and wanted to thank, not just him, but others with more data. The library is expanding. Knowledge doesn't stop. So here is some data and more proofs using lean4 for the validation process. All anyone has to do is run the code. It is all there. It won't run if the math is bad. There is no \"sorry\" mechanics anywhere in the code. Go check it out. And also go thank "},{"type":"richLink","attrs":{"url":"https://www.researchhub.com/author/952195","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}},{"type":"text","text":" and check out his work on sound and how variations of tones effect plant growth. Interesting material and worth your time to go look at. Cheers. "},{"type":"richLink","attrs":{"url":"https://doi.org/10.5281/zenodo.22864932","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}}]}]}a7:T410,{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"Thank you to Cole Delyea. He is the first person to take a chance on me and my research. Thanks to him, I felt and ambitious and wanted to thank, not just him, but others with more data. The library is expanding. Knowledge doesn't stop. So here is some data and more proofs using lean4 for the validation process. All anyone has to do is run the code. It is all there. It won't run if the math is bad. There is no \"sorry\" mechanics anywhere in the code. Go check it out. And also go thank "},{"type":"richLink","attrs":{"url":"https://www.researchhub.com/author/952195","kind":"webpage","videoId":null,"tweetId":null,"linkedinUrn":null}},{"type":"text","text":" and check out his work on sound and how variations of tones effect plant growth. Interesting material and worth your time to go look at. Cheers. 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Drafts

Zone 0 Challenge – Prove Me Wrong

Drafts

Drafts

Zone 0 Challenge – Prove Me Wrong