Yann LeCun on JEPA

Ask Yann LeCun —Meta's chief AI scientist, Turing Award winner, NYU data scientist and one of the pioneers of artificial intelligence —about the future of large language models (LLMs) like OpenAI's ChatGPT, Google's Gemini, Meta's Llama and Anthropic's Claude, and his answer might startle you: He believes LLMs will be largely obsolete within five years.

"The path that my colleagues and I are on at [Facebook AI Research] and NYU, if we can make this work within three to five years, we'll have a much better paradigm for systems that can reason and plan," LeCun explains in the latest installment in Newsweek's AI Impact interview series with Marcus Weldon, describing his team's recent work on their Joint Embedding Predictive Architecture (JEPA). 

He hopes this approach will make current LLM-based approaches to AI outdated, as these new systems will include genuine representations of the world and, he says, be "controllable in the sense that you can give them goals, and by construction, the only thing they can do is accomplish those goals."

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