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@gkxspace: LLM is likely just the first stop for AI large models. Professor Biwei Huang divides AI paradigms into four generations: First generation (1990s): Small models learn correlations. Second generation (2010s): Small models learn causation. Third generation (current LLMs): Large models learn correlations. Fourth generation (next step): Large models learn causation. Over 30 years, models have grown from small to large...

X AI KOLs Timeline · yesterday Cached

Professor Biwei Huang proposes a four-generation theory of AI paradigms, believing LLMs are just the first step, and the future lies in causal world models. Aether AI has completed a $20 million funding round, dedicated to building causal world models.

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