AI Engineer · AI

World Models Need Causality, Not Pretty Pixels — Christopher Manning, Moonlake AI

In 2007, Google already had a language model trained on 2 trillion tokens, the same order of magnitude as today's frontier models. Christopher Manning, Stanford professor, former director of the Stanford AI Lab and now at Moonlake AI, uses that as one stop in a tour of AI history. It runs from Dartmouth in 1956 and Shakey the robot to the rise of LLMs, and it ends at his argument for what comes next: embodied intelligence built on simulation. Man

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