Crazy how many people expect some company or country to achieve a “insurmountable lead” in AI, when in reality no company seems to hold a lead of more that a few weeks or at most a few months before someone overtakes them.
GENERATIVE AI
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Maestro Approach Achieves SOTA on Browsecomp-Plus
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Live from @DeepLearningAI conference: our CPO Or Dagan is taking the stage, explaining how we got SOTA on Browsecomp-Plus with the Maestro approach.
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Is Henrick Real or a Deepfake Creation?
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Wait. Henrick exists?
— Linus ✦ Ekenstam (@LinusEkenstam) 29 avril 2026
Am I the only one who thought it was a made up satirical account?
Surely we’re seeing a 15min deepfake here? Right? Right!? https://t.co/Hx0ldBXiG8Wait. Henrick exists? Am I the only one who thought it was a made up satirical account? Surely we’re seeing a 15min deepfake here? Right? Right!?
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Essay on World Models Ranks Top Organic Search Result
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Pim just pointed out that our essay is the top organic result for World Models, ahead of Nvidia, the original Ha and Schmidhuber GitHub, Reddit, Nature, and Wikipedia.
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Copilot Limitations Compared to Competing AI Solutions
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Ok, to be fair, they can probably only use copilot in their company, and it's pretty bad compared to the other options, but still, wtf?
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Boosting Knowledge Worker Productivity with AI Tools
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I'm talking about knowledge workers and finance, HR, and engineering people, who work with their computers. I can think of a handful of ways to be more productive in a second
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Why Friends Use AI for Random Tasks Not Work
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i don't get how most of my friends have never opened claude or chatgpt for their professional work, but did for random questions
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BioMysteryBench: Claude’s Creative Bioinformatics Research Solutions
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BioMysteryBench, our new bioinformatics eval, tests whether Claude can devise creative solutions to open-ended research problems. Read more:
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Claude Solves 30% of Expert-Stumping Biological Data Problems
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New on the Science Blog: We gave Claude 99 problems analyzing real biological data and compared its performance against an expert panel. On 23 problems, the experts were stumped. Our most recent models solved roughly 30% of those—and most of the rest.
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Madrigal Pharma: Pioneering Agentic AI in Biopharma
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@MadrigalPharma is living in the (agentic) future. If you haven't heard of Madrigal, they are a pioneering biopharma company. Some months ago, they set out to solve the problem of integrating, searching, and synthesizing information from diverse datasets at scale. This lead