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Feb 28, 2026 · Artificial Intelligence

Why Energy‑Based Models Could Outperform Probabilistic LLMs, According to Yann LeCun

Yann LeCun argues that the probability‑driven, token‑by‑token design of current large language models may never reach human‑level intelligence, and explains how Energy‑Based Models replace probability distributions with an energy function, offering more flexible training, inference, and multi‑modal capabilities.

Contrastive DivergenceDensity EstimationEBM
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Why Energy‑Based Models Could Outperform Probabilistic LLMs, According to Yann LeCun