Same. The sim-to-real jump is the real test. If it holds up, that’s huge!
MACHINE LEARNING
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MiniMax M2.1 Powers Robot Dog with 230B Parameter Sparse MoE
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MiniMax M2.1 × Vbot is super-powered in action! This AI agent model (230B params, sparse MoE) controls a physical robot dog seamlessly—virtual training to real-world navigation, coding, & multimodal mastery.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 29 décembre 2025
Speedy, efficient, rivals Claude Sonnet.#MiniMaxM21 #AIRobotics pic.twitter.com/Hji1KAuIgzMiniMax M2.1 × Vbot is super-powered in action! This AI agent model (230B params, sparse MoE) controls a physical robot dog seamlessly—virtual training to real-world navigation, coding, & multimodal mastery. Speedy, efficient, rivals Claude Sonnet. #MiniMaxM21 #AIRobotics
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AI breakthroughs like world models accelerate progress
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Translation: we are about to accelerate because of AI breakthroughs like world models.
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Claude Automates Nanochat ML Experiments End-to-End
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Claude has been running my nanochat experiments since morning. It writes implementations, debugs them with toy examples, writes tests and makes them fail/pass, launches training runs, babysits them by tailing logs and pulling stats from wandb, keeps a running markdown file of
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Proposed Technical Curriculum for AI and Robotics Integration
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Ce que je verrais dans le programme : Ça serait un mélange de DL, du RL, de de modeling 3D, des LLMs , du signal processing, de l’électronique , de l’embarqué, du réseau.
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Computer vision detects road closures from visual cues
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The algorithm is pretty easy: use computer vision when you are on a route and get rerouted. You take a picture and analyze it. For example, if there is a fire truck across the road, a bunch of cones, and a police officer directing traffic, the road is likely closed. It is not
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Waymo car predicts reality, then drives through it
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A Waymo car predicts reality; it predicts where everybody's going to be in about one second. That's called "predicting reality" as it drives along. Then, it drives through the reality that it predicted. It's a funny thing to watch. But yeah, humans are patterns. The founder of
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AI runs on 99% less power, 20x faster – critics proven wrong
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I reported this breakthrough about a month ago. He found a way to make AI run on 99% less power and something like 20 times faster. With such big breakthroughs ahead, everybody in the AI industry gave me shit and said I didn't know what I was talking about. Well, they're all
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CUDA as the catalyst for data science infrastructure investment
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J’ai investi en 2018 dans Nvidia parce que je me suis rendu compte une aprés-midi à mon taff de Data Scientist que je ne pouvais pas me passer de CUDA, et que, quand je réussissais à l’installer (ENFIN !!), je ne touchais plus jamais à ma config. Et là je me suis aussi rendu