Evolution figured out how to get learning to produce hierarchical models for perception and planning.
It had to find a solution to the collapse problem. What you describe is "classical" reinforcement learning. We know that's way too inefficient.
@ylecun
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Evolution Solves Hierarchical Learning Where Classical RL Fails
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JEPA Is an Architecture Class, Not a Single Method
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JEPA is a class of architectures, not a method. There were lots of JEPAs before I proposed the name as a unifying concept. For example, Siamese nets (NIPS 1993) are a special case of JEPA (where the predictor is the identity, and the training loss is contrastive as in SimCLR).
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JEPA Learns Abstractions to Enable Prediction Like Science
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JEPA finds abstractions that enable prediction. This is how intelligence and science work: find abstract representations of reality that allow to make predictions.
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Research Papers Predict Future Products Years in Advance
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Yet another dude who doesn't realize that before you get a product in your hands, there may be 5 years of technology development preceded by 10 years of fundamental research. Want to know what products will become available in a few years? Read research papers.
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AI Agents Need World Models and Safety Guardrails to Avoid Danger
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Danger does not come merely from agency, but from agency with no ability to anticipate consequences and with no safety guardrails. The solution? AI agents that can predict the consequences of their actions (world models) and only take actions whose predicted outcomes satisfy
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BADAS: Advanced Incident Prediction Model Beats State-of-the-Art
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This isn’t just a game; it’s your chance to go head-to-head with a model that beat SoTA in incident prediction. Trained on 10B+ real-world data, BADAS doesn’t guess, it predicts.
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Meta Meeting Room Named After Influential AI Research Paper
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My previous meeting room at Meta was named after the title of this paper.
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Ex-Meta Founders Launch Everlyn AI Video Generation Startup
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Two ex-Meta colleagues, @sernamlim and @leehomyc, have been busy at their startup @Everlyn_ai, building some pretty cool video generation products. https://t.co/r8Q1QW3HKe
— Yann LeCun (@ylecun) 19 août 2025Two ex-Meta colleagues, @sernamlim and @leehomyc, have been busy at their startup @Everlyn_ai
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Academic Research to Startup Wealth: The Venture Capital Gap
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???
No one gets rich from fundamental academic research.
The people who do get rich start companies and turn the research into practical technology (they often need to raise venture capital money)
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Cutting Research Budgets Threatens Technology Leadership Future
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Other priorities? You mean, like, tax cuts for the ultra-rich?
The point is that cutting research is like mortgaging the future and resulting in a loss of technology leadership.