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Yann LeCun's assertion that future AI progress hinges on "world models" capable of interacting with the physical world marks a strategic pivot away from pure LLM scaling toward embodied intelligence. His view that safety risks stem from architectural flaws rather than fundamental alignment problems suggests these challenges are solvable through rigorous engineering and system design.

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Turing Award Winner Yann LeCun: Next AI Breakthroughs Will Come from World Models, Risks Controllable via Engineering

36Kr12 octombrie 20261 min de cititArticolul și perspectiva sunt în engleză.

Yann LeCun, 2018 Turing Award winner and founder and chairman of AMI Labs, stated in Seoul that the next major breakthrough in artificial intelligence will come from systems capable of understanding, predicting, and acting upon the physical world, rather than simply scaling large language models. He believes 'World Models' will become a key technological direction driving AI development. Addressing security concerns regarding increased AI autonomy, LeCun noted that recent cybersecurity incidents involving AI agents primarily exposed flaws in existing protection frameworks, with related risks controllable through improved system architecture and safety engineering.

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