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Cross-referenced against our prover orchestration layers: - Plan-Execute-Verify-Replan ↔ L0-L3 pipeline - Agents as specialists ↔ 11-agent swarm - Guardrails ↔ ProverWatchdog - Sandbox testing ↔ Virtual FPGA tests - Trajectory-aware eval ↔ BFS audit trail 5 gaps identified, 4 strengths confirmed
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903 B
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9 lines
903 B
Text
created: 20260507000000000
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modified: 20260507000000000
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tags: ResearchStack Biology Genetics Compression
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title: Synthetic Genetic Coding
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type: text/vnd.tiddlywiki
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! Synthetic Genetic Coding
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Synthetic genetic coding research (`6-Documentation/docs/SYNTHETIC_GENETIC_CODING_RESEARCH.md`) and Lean module `SyntheticGeneticCoding.lean`. Explores DNA as a programmable storage medium with codon→gene→chromosome→genome hierarchical encoding. The genetic coding infrastructure includes [[Genetic Code Optimization]], [[LaviGen]] (genetic language variant generation), and the [[Peptide MoE]] (mixture-of-experts model for peptide prediction). Connected to the [[Hutter Prize Compression]] strategy through genome-as-compressor models. The [[Genomic Data Compression Anchor]] provides the compression target. See also `6-Documentation/wiki/Obsidian-connector/Manifold/Modules/SyntheticGeneticCoding.md`.
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