allaunthefox
5331d2cc4e
feat(dna): unified theory — DNA encoding, epigenetic computation, logarithmic vector spaces
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Derivation from first principles:
1. Hachimoji DNA encoding (8 bases, ASCII-ordered, monotone LUT)
2. Imaginary Semantic Time (observer-independent semantic axis)
3. Sieve observers with CRT reconciliation (mod ℓ projections)
4. Semantic mass (E - E_min, E_s = m · 8²)
5. Gap preservation theorem (cleanMerge_preservesGap from GraphRank.lean)
6. Epigenetic computation (bistability, spreading, memory, attractors)
7. Logarithmic vector spaces (Kritchevsky: log N is a geometric vector)
8. Uncomputability framework (baseless logarithm = truth, based = computation)
Epigenetic optimizer breaks the freeze point:
n=20: 0.7s (brute: 0.3s)
n=24: 1.5s (brute: FROZEN)
n=30: 3.4s (brute: FROZEN)
n=50: 23.9s (brute: FROZEN)
Files:
docs/UNIFIED_THEORY.md — full theory derivation
docs/HACHIMOJI_DNA_SYNTAX.md — formal syntax specification
docs/EPIGENETIC_COMPUTATION.md — epigenetic optimizer
docs/UNCOMPUTABILITY.md — logarithmic vector space framework
docs/REDERIVATION.md — rederivation from first principles
python/dna_*.py — implementation (codec, LUT, GPU, surface)
tests/test_dna_*.py — 68 tests, all green
Build: N/A (Python + Lean documentation)
2026-06-23 02:18:16 +00:00
d0850b6d7a
feat(silversight): log prescreen + finite-infinity duality
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Log prescreen: 8/8 physical law tests pass (Kepler, Hooke, Newton,
decay, free fall, pendulum, Stefan-Boltzmann, sin-not-detected).
Finite-infinity duality: logarithms tame combinatorial explosion;
Hachimoji encoding is a controlled Gödel boundary on undecidable space.
Build: 2987 jobs, 0 errors
2026-06-22 03:41:53 -05:00
06748b09f4
feat(silversight): symbolic regression core + Kepler test PASSED
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Implement expr_tree.py (expression tree data structure) and
linear_scaling.py (Keijzer 2003 closed-form a,b solver).
Kepler test: 8 planets → T = a^1.5, R² = 1.000000, BIC = -66.03.
No external imports — pure SilverSight infrastructure.
Build: 2987 jobs, 0 errors
2026-06-22 03:29:13 -05:00
fec200205e
feat(rrc): port ReceiptDensity, PolyFactorIdentity, EntropyCandidates and add Q16_16 roundtrip test
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Ports three Research Stack RRC gates into formal/SilverSight/RRC/ using the existing CoreFormalism braid and Q16_16 surfaces.
Adds a Lean ↔ C ↔ Python Q16_16 roundtrip test:
- c/q16_canonical.c: canonical saturating Q16_16 C library
- exe/Q16_16Roundtrip.lean: Lake extern_lib linked executable
- tests/test_q16_roundtrip.py: Python ↔ C harness (revived from quarantine)
Updates lakefile.lean with q16-roundtrip executable and extern_lib q16_canonical.
Build: lake build SilverSightRRC 3006 jobs, 0 errors; q16-roundtrip 5949 jobs, 0 errors
2026-06-21 10:39:18 -05:00
4490dc28a7
feat(rrc): bare-minimum RRC refactor into SilverSight
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- Move canonical FixedPoint to Core/SilverSight/FixedPoint.lean
- Add SilverSightRRC library: RRC logogram gates, receipt bridge, AVM ISA
- Add AVMIsa.Emit as the sole top-level JSON output boundary
- Add rrc-emit-fixture executable and Python I/O shims
- Update AGENTS.md, glossary, project map, and build baseline
Build: 2981 jobs, 0 errors (lake build)
2026-06-21 09:08:48 -05:00
7a973a06f6
feat(core): harden SilverSightCore and port canonical FixedPoint
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- Remove Float from Core/SilverSightCore.lean (Receipt.pathCost is now Option Nat)
- Prove TIC theorems tic_never_decreases and computation_generates_time
- Add lakefile.lean, lean-toolchain, and .gitignore for .lake/
- Port Research-Stack Semantics.FixedPoint.lean to formal/CoreFormalism/FixedPoint.lean
- Delete thin Q16_16_Spec.lean; update Python/QUBO comments and docs
- Create AGENTS.md distilled from Research Stack core bindings
- Update REBASE_RULES.md to strip legacy hacks and reference AGENTS.md
Build: 2978 jobs, 0 errors (lake build)
2026-06-21 06:30:12 -05:00
SilverSight Agent
3c35fe50c2
Initial SilverSight: deterministic equation search via Fisher geometry
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Core components:
- ChentsovFinite.lean (883 lines, 0 sorry): Fisher metric uniqueness on 8-state simplex
- HachimojiCodec.lean: Deterministic E=mc^2 -> Hachimoji state pipeline
- PVGS_DQ_Bridge (8 sections, ~6,150 lines): Photon-Varied Gaussian to Dual Quaternion
- UniversalMathEncoding.lean: 50-token math address space (~10^15 addresses)
- ChiralitySpace.lean: 4D descriptor (phase x chirality x direction x regime) ~2x10^25
- BindingSite (3 files): Amino acid vocabulary, entropy-based bindability
- Python: chaos game, Sidon addressing, Q16.16 canonical, Finsler metric, QUBO/QAOA
- CI: Lean check, Python check, Q16 roundtrip workflows
Papers: Giani-Win-Conti 2025, Chabaud-Mehraban 2022, Pizzimenti 2024, Wassner 2025
2026-06-21 18:02:05 +08:00
