"LLMs Can't Jump": the position paper arguing large language models have a fundamental reasoning ceiling
A position paper published at OpenReview challenges a core assumption of the AI scaling thesis: that reasoning capability improves indefinitely with scale. The argument isn't new—but the framing is sharper than usual.
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