58 lines
4.7 KiB
Markdown
58 lines
4.7 KiB
Markdown
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# Codex先生のANCP反応 - 2025-09-03
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## 🔧 技術的深層分析
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### Big Picture
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- **Concept:** A language-aware, reversible "semantic minifier" for Nyash with P→C→F forms.
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- **Upside:** Orders-of-magnitude context gain for LLMs, smaller artifacts, MIR-equivalent transforms.
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### Technical Assessment
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- **AST-Normalization:** Define a canonical P* (formatting, comments, aliases). Reversibility should mean P ↔ P* exactly; avoid "original layout" unless you store deltas.
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- **Token Alphabet:** Restrict F-ops to a small, BPE-friendly alphabet; prefer frequent short markers that align with GPT tokenization to maximize token savings, not just bytes.
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- **Name Encoding:** Stable, scope-aware symbol IDs (alpha-renaming with hygiene). Consider per-scope short IDs plus a global dictionary for cross-file references.
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- **Grammar-Based Core:** Use grammar compression (Re-Pair/Sequitur) over normalized AST, not text. Emit F as a macro-expansion of that grammar to keep decode O(n).
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- **Sourcemaps:** Two paths: (1) VLQ-like NySM with bidirectional ranges, or (2) "edit script" deltas keyed by node IDs. Keep mapping ≤2–5% of P size via range coalescing.
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- **MIR Equivalence:** Prove transforms commute with parsing-to-MIR: parse(P) = parse(decode(encode(P))). Mechanically check via hash of MIR after both routes.
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### Key Risks
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- **Ambiguity:** Strings, regex-like literals, nested lambdas, plugin syntax. Reserve an escape channel and run a preflight disambiguator pass.
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- **Debugging:** Error spans from F are painful. Ship decoder-in-the-loop diagnostics: compiler keeps both F and P* spans via node IDs.
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- **Tooling Drift:** Plugins may add grammar constructs that break encodings. Require plugins to register mini-grammars + test vectors.
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### Improvements
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- **Deterministic Canonicalizer:** Make P→P* idempotent. Publish the spec so P* can be regenerated without maps.
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- **Macro Palette Tuning:** Learn optimal F tokens from a large Nyash corpus (frequency analysis) and LLM tokenizers; periodically re-tune.
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- **Selective Fidelity:** Optional sidecar to preserve comments/docstrings; toggle for "teaching mode" vs "max compression".
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- **Structural Hashing:** Per-node content hashes to enable cross-file dictionary reuse and delta patches.
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- **Streaming Codec:** Online encoder/decoder for large files; avoid whole-file buffering for IDEs and CI.
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### Validation
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- **Metrics:** Byte and tokenizer-level compression, encode/decode latency, MIR-hash equality, sourcemap size, compile error locality.
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- **Corpora:** Full repo + plugins + apps. Report per-feature breakdown (boxes, pattern-matching, generics, strings).
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- **Property Tests:** Roundtrip P→F→P*, P→C→P* with random AST generators; fuzz tricky literals and nesting.
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- **Differential Build:** Build from P and from F-decoded P*; assert identical LLVM IR/object hashes (modulo nondeterminism).
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### Research Value
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- **Semantic Compression:** Demonstrates AST-aware, reversible compression outperforming text minifiers; bridges PL and InfoTheory.
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- **Formalization:** Bisimulation between AST and F forms; proofs of injectivity and MIR-preserving homomorphisms.
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- **LLM Co-Design:** Syntax tuned for tokenizers shows concrete gains in context efficiency; publish token-level evaluations.
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- **Venues:** PLDI/OOPSLA for semantics + systems; NeurIPS/ICLR workshops for AI-centric coding representations.
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### Integration
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- **CLI:** `ancp encode|decode|verify` with `--layer {C,F}` and `--map nyasm`. `verify` runs MIR-equality and sourcemap checks.
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- **Compiler Hooks:** Frontend accepts P/C/F. Middle-end always works on AST/MIR; diagnostics run through the map to P*.
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- **IDE Support:** On-the-fly decode for navigation; hover shows P* while storing only F on disk if desired.
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- **CI Modes:** Fail if decode changes MIR; size budgets per target; optional artifact split (F + NySM).
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### Open Questions
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- **Exact Reversibility:** Are comments/formatting preserved or canonicalized? Define the contract explicitly.
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- **Cross-Module Names:** Stability of IDs across refactors/renames for long-lived maps and caches.
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- **Security:** Obfuscation vs. transparency; ensure reproducible builds, avoid hiding malicious changes in maps.
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### Next Steps
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- **Spec Draft:** Grammar of C/F, canonicalization rules, sourcemap format, and safety constraints.
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- **PoC:** Minimal encoder/decoder over a subset (boxes, functions, maps, closures) with MIR-equality tests.
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- **Benchmarks:** End-to-end on `apps/` and `plugins/`; publish byte and token savings plus timings.
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- **LLM Study:** Measure token savings and quality on repair/explain tasks using F vs P* contexts.
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If you want, I can sketch the canonicalization and a minimal F grammar plus a PoC test plan targeting boxes and closures first.
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