Professor Yi Ma proposes a new mathematical framework for intelligence, suggesting current large language models primarily memorize rather than truly understand. He argues that capabilities like 3D reconstruction, while impressive, do not equate to genuine comprehension. Ma's theory is built on two core principles: parsimony and self-consistency, offering a unified perspective on learning and intelligence. AI
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RANK_REASON This is a discussion of a new theoretical framework for intelligence presented by a professor, not a release of a model or a research paper.