Could perfect monosemanticity enable training coding agents without verifiers or RL?
menhguin · x · 2026-09-27
Expanding his parameter-space speculation, the author argues that since LLMs coherently encode code knowledge like if/else statements, a near-perfect "monosemantic" representation method could make this knowledge manipulable as modular atomic units. With a large model whose internal world model of code is complete enough, one could post-train coding agents without external verifiers or even RL — like someone with perfect memory solving math purely in their head. Theoretical only.
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