Engineer speculates reverse-engineering skills and verifiable tasks boost LLM training

gandamu_ml · x · 2026-10-20

In a thread with iquilezles, gandamuml speculates that LLM labs may have benefited from experience reverse-engineering systems whose source code they never had. He also suggests that while inference during training is expensive, combining it with verifiable-enough tasks at key points can make models significantly better — and it appears some labs are already doing this.

Original post →

More from Models

Models channel →