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We accidentally solved robotics by watching 1M hours of YouTube

how we accidentally solved robotics by watching 1 million hours of YouTube 29 Jun, 2025 the existential crisis we all share imagine this: you've just spent $640 billion training the chonkiest language model known to humanity (lol) and decide to call it "Behemoth". it can annoy you on whatsapp, try to solve calculus, and argue with you about anything with a sophistication of a philosophy PhD. but ask it to grab a coffee mug from your kitchen counter? ngmi turns out scaling LLMs forever still

Meta’s new world model lets robots manipulate objects in environments they’ve never encountered before

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more While large language models (LLMs) have mastered text (and other modalities to some extent), they lack the physical “common sense” to operate in dynamic, real-world environments. This has limited the deployment of AI in areas like manufacturing and logistics, where understanding cause and effect is critical. Meta’s latest model, V-JEPA 2,

Meta’s V-JEPA 2 model teaches AI to understand its surroundings

Meta on Wednesday unveiled its new V-JEPA 2 AI model, a “world model” that is designed to help AI agents understand the world around them. V-JEPA 2 is an extension of the V-JEPA model that Meta released last year, which was trained on over 1 million hours of video. This training data is supposed to help robots or other AI agents operate in the physical world, understanding and predicting how concepts like gravity will impact what happens next in a sequence. These are the kinds of common sense

Topics: ai jepa meta model world