AI safety debate: what if oversight stagnates while models hugely improve
KelseyTuoc · x · 2026-10-13
Part of a debate between Kelsey Tuoc and Rohit Krishnan on recursive self-improvement and scalable oversight. Tuoc argues the opposing case implicitly assumes a model trains and monitors its successor in isolation, with no human or other system that could catch deviations — an assumption she finds unrealistic.
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