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A first-of-its-kind study from MIT measures how successful AI is in completing thousands of tasks done by workers in the US economy. Across these real-world tasks, they found that AI capabilities are improving quickly, but performance is rising smoothly: bit.ly/3Q1JQZD [Translated from EN to English]
→ View original post on X — @mit_csail, 2026-04-02 16:01 UTC
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Where can linearized dynamics be trusted w/contact?
— MIT CSAIL (@MIT_CSAIL) 31 mars 2026
MIT's "Contact Trust Region" answers this using manipulation theory, differentiable simulation & control. It enables manipulation w/less compute than RL, powering robots to be more energy-efficient: https://t.co/i0Uza8QveU pic.twitter.com/7kaueisigy
Where can linearized dynamics be trusted w/contact? MIT's "Contact Trust Region" answers this using manipulation theory, differentiable simulation & control. It enables manipulation w/less compute than RL, powering robots to be more energy-efficient: tinyurl.com/mw48m2wf
→ View original post on X — @mit_csail, 2026-03-31 16:00 UTC
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An introductory course about deep learning, courtesy of MIT: https://t.co/xlVPQUthXI pic.twitter.com/ry4auHQXd3
— MIT CSAIL (@MIT_CSAIL) 30 mars 2026
An introductory course about deep learning, courtesy of MIT: bit.ly/4in6rsJ
→ View original post on X — @mit_csail, 2026-03-30 16:00 UTC
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A prompt you can use in Claude to help build & launch apps, via @milesdeutscher. [Translated from EN to English]
→ View original post on X — @mit_csail, 2026-03-28 16:00 UTC
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21 years ago MIT researchers got a computer-generated gibberish paper accepted to a predatory journal. Generate your own here: bit.ly/SCIgenCS [Translated from EN to English]
→ View original post on X — @mit_csail, 2026-03-26 16:00 UTC
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Happy birthday Joseph Fourier, whose 1822 equation allows us to listen to mp3 audio files today: https://
bit.ly/4rx7ZW4
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"A good programmer is someone who always looks both ways before crossing a one-way street." — Doug Linder
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Is there a "secret sauce" driving the development of AI models?
— MIT CSAIL (@MIT_CSAIL) 17 mars 2026
FutureTech researchers at MIT CSAIL found that at the frontier, sheer scale drives LLM performance, but proprietary techniques & algorithmic advances matter more away from it: https://t.co/zi6jCN7twT pic.twitter.com/UpDdLG7c6Y
Is there a "secret sauce" driving the development of AI models? FutureTech researchers at MIT CSAIL found that at the frontier, sheer scale drives LLM performance, but proprietary techniques & algorithmic advances matter more away from it: bit.ly/4l76v2g [Translated from EN to English]
→ View original post on X — @mit_csail, 2026-03-17 16:00 UTC
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Graphing out where AI complements human work (e.g. chief executives) & where it could pressure them to learn new skills (e.g. secretaries). More details: https://
bit.ly/4aKiUFD Credits: xY2j-Ib2p9–NmEX-43- on Reddit & EBRD
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A free repository of curated ML system design case studies from 80+ leading companies: https://
bit.ly/4kMcGbQ v/
@techNmak