New Google Omni-model incoming! Probably announce during i/o (see you guys next week in person :)) Probably an updated version of Veo 3.1 (maybe even the next iteration) h/t Zachary on reddit
RESEARCH
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GenRobot Trains Robots via Real-Time Human Hand Observation
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GenRobot Trains #Robots by Watching Human Hands in Real Time
— Ronald van Loon (@Ronald_vanLoon) 11 mai 2026
by @mvollmer1#AI #Robotics #MachineLearning #ArtificialIntelligence #ML #Technology pic.twitter.com/Ccddb7W79TGenRobot Trains #Robots by Watching Human Hands in Real Time
by @mvollmer1 #AI #Robotics #MachineLearning #ArtificialIntelligence #ML #Technology -
Early Feedback on a Highly Impressive Video AI Model
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Sample video and early feedback 👀
— 🚨 AI News | TestingCatalog (@testingcatalog) 11 mai 2026
> I won’t lie, this is one of the best video models I have seen, maybe not *the* best, but a really strong performance. I was particularly impressed by the prompt adherence (except for the one shot with the missing centerpiece), the model… pic.twitter.com/sG58DXlswLSample video and early feedback > I won’t lie, this is one of the best video models I have seen, maybe not *the* best, but a really strong performance. I was particularly impressed by the prompt adherence (except for the one shot with the missing centerpiece), the model
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Deconstructing Geoffrey Hinton’s Recent AI Perspectives
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Receipts: https://
open.substack.com/pub/garymarcus
/p/deconstructing-geoffrey-hintons-weakest?r=8tdk6&utm_medium=ios
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DeepMind paper provides evidence for LLM training data regurgitation
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Am old enough to remember when @GeoffreyHinton told me I was stupid for saying that LLMs regurgitate training data. He was wrong. LLM regurgitation is now one of the best-established findings in the field. Excerpt below from a new DeepMind paper; every single one of the
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Debating the limits of self-play AI training in real-world environments
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Really doubt what Hinton says here.
— Gary Marcus (@GaryMarcus) 11 mai 2026
Self-play for games like Go is not like the open-ended real world. https://t.co/6t5jUtajaVReally doubt what Hinton says here. Self-play for games like Go is not like the open-ended real world.
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Research on the Effects of Iterative Finetuning on AI Model Behavior
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"Iterative Finetuning is Mostly Idempotent" If a model has a behavioral tendency and you train the next generation on its outputs, does the tendency snowball? This paper actually finds that it's mostly no. So they seed models with traits like sycophancy and misalignment, then
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Demystifying Manifold Constraints in LLM Pre-training
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"Demystifying Manifold Constraints in LLM Pre-training" LLM pre-training depends on a stack of heuristic tricks, eg. normalization layers, weight decay, and optimizer tuning. This paper suggests that by constraining weight matrices to geometric manifolds like spectral or