World models will bring us wondrous things.
MACHINE LEARNING
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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
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AI Sentiment Analysis for Trading: Nuance Detection and Weighted Calls
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Traders often mention both bullish and bearish scenarios, so our AI reads the nuance, whether it's leaning toward a breakout, breakdown, or range-bound, and labels sentiment accordingly. Since nuanced tweets carry less weight than clear calls, they can shift more easily. We're
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Completing lists on X to improve Grok’s accuracy next year
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My goal with the lists are completeness, which is an impossible task. However, the more complete they are—and they are the most complete of anybody here on X—the better Grok will be able to fill in the gaps next year.