Unverified50% confidenceOpinionExact time
Schaeffer et al. at Stanford pointed out that so-called emergence may be an artifact of the choice of evaluation metrics, and that after switching to smoother measurement methods, the abrupt transitions revert to gradual capability growth curves.
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10/11/2026
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VerifiedSchaeffer et al. from Stanford questioned the emergence phenomenon, arguing that emergence may partly be a measurement artifact caused by the choice of evaluation metrics.75% similarVerifiedRylan Schaeffer's team at Stanford University published a rebuttal study in 2023 arguing that "emergence" may be a visual illusion caused by the discontinuous selection of evaluation metrics, rather than a true nonlinear leap in model capability74% similarVerifiedA 2023 Stanford University study challenged the phenomenon of "emergence," arguing that it is largely an artifact of the choice of evaluation metrics rather than a genuine sudden shift in model capability.69% similarUnverifiedStanford University research refers to the systematic bias formed by multiple models positively responding to each other as a 'Sycophancy Spiral'66% similarUnverified严格的李雅普诺夫指数计算需要同时演化原始轨道和满足变分方程的切向量，并定期进行Gram-Schmidt正交归一化62% similar
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