Hill Sampling: Condition on the Best Verified Solution, Generate 512 Parallel Edits, Repeat
LChoshen · x · 2026-09-25
jakeABeck shares Hill Sampling, a remarkably simple LLM search loop:
- Condition the LLM on the single best verified solution found so far
- Generate and evaluate many edits in parallel (e.g., 512)
- If an edit is at least as good, make it the new context
- Repeat
Essentially hill climbing implemented at the sampling layer: keep the verified best solution in context, batch-generate candidate edits, accept non-worsening moves. Works wherever tasks have verifiable scoring signals — no elaborate framework needed.
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