It's still amazes me how I can throw big tasks at these models that take hours to run.
RESEARCH
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Monet-7B: AI Reasoning Directly in Visual Latent Space
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What if your AI could truly “think in pictures,” not just describe them? Researchers from Peking University, Kling Team, and Amazon AGI introduce Monet-7B, a new framework that lets multimodal AI reason directly inside visual latent space—no external tools needed. Instead of
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Model Weights Security Returns to AI Focus
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out with securing model weights …
securing model weights is so back! -
Papers Must Better Justify Their Underlying Assumptions
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I don’t think most papers I have seen think hard enough about these assumptions or are clear about why they pick particular ones. (Present company excluded)
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Expert Experience and Responsible AI Technology Use
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the point is that people with considerable experience shouldn’t be playing around with this stuff.
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AI capability and speed: the two fundamental questions shaping predictions
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Every AI discussion ultimately rests on two questions: how good can AI get? And how fast? They are predictions about the s-curve shape. Everything else (job impact, potential risks, etc.) is downstream of those questions. I think it would be useful to focus on them more often.
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AI Frontier Gaps: Where Human Help Remains Essential Today
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The only way to fully appreciate the jaggedness of the AI frontier is up close. When you use it for a task you know well you find tons of tiny points where AI requires human help. Some are tedious (move a thing) & some profound (is this idea good)? But there are many, for now.
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Vista4d: Netflix’s AI Reframes 2D Captures Into Infinite Camera Moves
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Vista4d – capture something in 2d once; reframe camera moves infinitely in post production. Impressive research by Netflix. pic.twitter.com/t4WsGMCjln
— Bilawal Sidhu (@bilawalsidhu) 27 avril 2026Vista4d – capture something in 2d once; reframe camera moves infinitely in post production. Impressive research by Netflix.
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LLMs Remain Next-Token Predictors Based on Human Text
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of course, because it is still a next-token predictor, making predictions based on human-generated sequences. that hasn’t (afaik) changed.
