b5d59c3360
- LLM proposes code at every bootstrap stage (microcode, CIC kernel, macro layers, gate rules) — symbolic engine verifies before accepting - Weak model = more retries (5-15), strong model = fewer (1-3) Both produce 100% verified output because the symbolic engine catches all mistakes - The critical transition: not better LLMs, but the sufficiency flip applied to hardware. Once enough facts about runtime behavior accumulate, the system proposes microcode optimizations with zero LLM tokens. - Surprise result: a barely competent LLM is sufficient for the full bootstrapping chain. It's slower and costs more in API calls, but reaches the same destination.