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Garry TanUpdated Nov 4 01:37

Garry Tan: Cross-model review of frontier models is no longer useful

AI summary

Garry Tan said that some change has occurred in the latest frontier models, and cross-model review and code review are now becoming less useful. His post was in response to lauren's view: adversarial review is basically a waste of tokens; it is better to spend those tokens on empirical methods combined with formal verification.

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lauren

@poteto

maybe a hot take but i now consider adversarial reviews mostly a waste of tokens. far better to use those tokens on empirical combined with formal verification. i have updated pstack to use the interrogate skill less, and eventually i think i may remove it altogether i have found very little value with code review in the abstract, agents tend to just get lost in the nitpicks and yagnis

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maybe a hot take but i now consider adversarial reviews mostly a waste of tokens. far better to use those tokens on empirical combined with formal verification. i have updated pstack to use the interrogate skill less, and eventually i think i may remove it altogether i have found very little value with code review in the abstract, agents tend to just get lost in the nitpicks and yagnis

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Body

Something changed in the latest frontier models where cross model review and code review is just less useful now

Source

Garry Tan