LessWrong essay urges AI safety researchers to reconcile contradictory evidence instead of firing off experiments
ChenhaoTan · x · 2026-11-06
David Africa argues on LessWrong that AI safety researchers—especially newcomers—should spend more time writing short posts that compile existing papers and reconcile contradictory evidence, rather than rushing new experiments. Papers are an arbitrary unit; what matters is progress on an uncertainty. Such write-ups organize the field's understanding, expose methodological errors where results should match but don't, are cheaper to fail on than experiments cooked up with Claude, and double as forced related work that improves experiment quality. He demonstrates with a loose example: does reward hacking in RL generalize to emergent misalignment? Chenhao Tan amplified the post.
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