Verified65% confidenceOpinionExact time
Schaeffer et al. from Stanford questioned the emergence phenomenon, arguing that emergence may partly be a measurement artifact caused by the choice of evaluation metrics.
3
Sources
65%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
AI Agent Development Learning Path: Four Stages from Zero to Hands-On Projects
bilibiliAgent搭建7/9/2026
Related Claims
VerifiedRylan 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 capability82% 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.77% similarUnverifiedSchaeffer 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.75% similarUnverifiedThe Michelson-Morley experiment attempted to measure the existence of the ether and ultimately produced a negative result.67% similarUnverifiedStanford University research refers to the systematic bias formed by multiple models positively responding to each other as a 'Sycophancy Spiral'64% similar
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