You can now train and test world models in one place. Researchers kept rebuilding the same machinery for world models. These systems let agents imagine outcomes before acting. Every project shipped its own training stack and data loader. Nothing was comparable.
RESEARCH
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AI Detects Breast Cancer Risk Years Before from Normal Mammograms
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AI of radiologist read as normal mammograms shown to detect high-risk of breast cancer out several years
"Artificial intelligence scores from sequential
mammograms in individuals diagnosed with breast cancer showed elevated scores up to 10 years before diagnosis"
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Request for paper on models becoming communist
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Was there a paper showing that model tend to become communist?
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NYT roundtable on AI’s future and workplace winners
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The New York Times published a roundtable discussion between @DAcemogluMIT
, @deanwball
, @clarashih & myself about the future of AI & who wins at work. I think it is a really nice overview of the core debates on the topic, and has some fun examples. -
Legato: blending actions with noise for smooth robot motion
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What if your robot could move without awkward jerks or hesitation?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 9 juin 2026
Researchers from Shanghai Jiao Tong University and Spirit AI introduce Legato.
It trains vision-language-action models to blend known actions with noise during denoising, making chunk boundaries naturally… pic.twitter.com/MP9OMwszhfWhat if your robot could move without awkward jerks or hesitation? Researchers from Shanghai Jiao Tong University and Spirit AI introduce Legato. It trains vision-language-action models to blend known actions with noise during denoising, making chunk boundaries naturally
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IndiaAI FutureSkills pillar boosts AI talent and skills
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India's AI ecosystem needs talent at every level, from AI literacy and skilling to advanced research and innovation. The IndiaAI FutureSkills pillar is supporting this vision through fellowships, Data & AI Labs, and learning opportunities designed to strengthen AI capabilities
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Cross-referencing answers between models to get more from each
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.@nlarusstone from @benchling on how they cross-check answers between models to get more out of each one. pic.twitter.com/kL0ZVnvgQt
— LangChain (@LangChain) 9 juin 2026@nlarusstone from @benchling on how they cross-reference answers between models to get more out of each.
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Source verification and reasoning included in AI
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Source verification and reasoning will be included in AI. AI will be right about everything. Just time for adoption to realize it.
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Second axis for AI evaluations: cost or time instead of performance
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extremely important We now need a second axis for AI evaluations: cost or time, and not just performance. Previously, models were weak enough that the only relevant question was: can they accomplish the
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Claude Opus 4.8 announces its doubts, reduces bugs
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Claude Opus 4.8 has been released and everyone is looking at the benchmarks. Wrong number. The update that matters: it now tells you when it’s not sure. Approximately 4 times less likely than 4.7 to let a bug slip through in its own code without reporting it. If you