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Benj Edwards
Meta’s chief AI scientist and Turing Award winner
plans to leave the company to launch his own startup focused on a different type of AI called “world models,” the Financial Times
. The French-US scientist has reportedly told associates he will depart in the coming months and is already in early talks to raise funds for the new venture. The departure comes as CEO Mark Zuckerberg
Meta’s AI operations after deciding the company had fallen behind rivals such as OpenAI and Google.
are hypothetical AI systems that some AI engineers expect to develop an internal “understanding” of the physical world by learning from video and spatial data rather than text alone. Unlike current large language models (such as the kind that power ChatGPT) that predict the next segment of data in a sequence, world models would ideally simulate cause-and-effect scenarios, understand physics, and enable machines to reason and plan more like animals do. LeCun has said this architecture could take a decade to fully develop.
While some AI experts believe that Transformer-based AI models—such as , , and —have emergently modeled physics or absorbed the structural rules of the physical world from training data examples, the evidence so far generally points to rather than a base understanding of how the physical world actually works.
are hypothetical AI systems that some AI engineers expect to develop an internal “understanding” of the physical world by learning from video and spatial data rather than text alone. Unlike current large language models (such as the kind that power ChatGPT) that predict the next segment of data in a sequence, world models would ideally simulate cause-and-effect scenarios, understand physics, and enable machines to reason and plan more like animals do. LeCun has said this architecture could take a decade to fully develop.
While some AI experts believe that Transformer-based AI models—such as , , and —have emergently modeled physics or absorbed the structural rules of the physical world from training data examples, the evidence so far generally points to rather than a base understanding of how the physical world actually works.
