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@animesh_garg
Frontier AI & Reinforcement Learning for Generalizable Autonomy. @GeorgiaTech. @microagi Prev @nvidia @UCberkeley @stanford @UofT
AI
Elon Musk wrote, “You will get flying cars,” in a reply but gave no timeline or details.
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A user wonders whether the idea will ultimately deserve its name.
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A user quoted another post, adding robot and rocket emoji to the brief comment.
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A post describing a Meta paper says the model uses a network of associative memories instead of standard attention.
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An X post links Affleck’s machine-learning interest to visual effects and sparked several Will Hunting jokes.
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A researcher recalls three attendees claiming a speaker’s work had been done a few, 10 and 20 years earlier.
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Posts on X congratulated Nathan Lambert and Trillium Labs after a launch, with several users describing the effort as open, science-oriented or focused on open post-training. Lambert later said some criticism came from Substack and more general-audience AI followers, not the technical AI community.
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Schmidt Sciences says the fellows are tackling AI risks and exploring what the technology could help us discover.
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Google announces a 1 million-token output limit, up from 64,000, for its new model. Initial access goes to trusted cyber defenders through the Fairwind Program.
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A user wrote, “They're building such a strong team,” in a quote post linking to @microagi.
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A user calls for normalizing AI distillation and shares a link to a CNBC article.
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BFL says teams can fine-tune the 7-billion-parameter model for specific robots and tasks, with native Hugging Face LeRobot integration and deployment on Nvidia Jetson.
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One post argues that R&D and manufacturing must advance together to make robotics a national asset, calling EVs and robots far bigger opportunities for India than smartphones.
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One post connects the question of knowledge’s usefulness to the step-by-step automation of knowledge production.
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The author calls for stronger disclosure norms around how AI companies train on user data, saying firms vary in how aggressively they use it and should explain their methods and intended capability improvements.
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Anjney Midha announces a short-term grant of interconnected chips from AMP's research pool.
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Georgia Tech professor shares excitement on MTS Live about new platforms.
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Sara Hooker and Animesh Garg discuss hardware, data, and verification hurdles slowing robotics relative to general AI.
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Posts share a video of a failing humanoid robot alongside comments on academic paper odds.
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Arnold Schwarzenegger replied that the robot should be melted down.
