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Francois Chollet：静态基准测的就是记忆，不是智能

Official accountFrançois Chollet@fchollet
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Chollet 点破了基准测试的痛点：很多高分模型只是背答案，不是真聪明。做评测的值得看看。

François Chollet 指出，如果基准测试依赖静态数据集或训练时已知的静态分布，那么它本质上衡量的是记忆/检索，而非智能。

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他以 ARC 挑战为例，说明现有基准容易因数据泄露而失效，并强调真正智能需要应对未知变化。Chollet 呼吁社区设计更能体现泛化能力的测试，如基于动态环境的评估。

Original · François Chollet

If your benchmark relies on a static dataset or sampling from a static distribution densely known at training time, then it is fundamentally measuring memorization/retrieval. Which might be fine if you're looking for a retrieval benchmark! But don't confuse it with intelligence.

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Industry" desk. Key entities and technical topics under continuous tracking include François Chollet, 基准测试, 智能测评, 记忆检索.

Source attribution: curated from François Chollet (@fchollet).

#François Chollet#基准测试#智能测评#记忆检索#ARC

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