The rendering process reduced to a post processing node lol. A 3d scene graph and sim engine VLMs can reason over and manipulate is equally important.
MACHINE LEARNING
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LFM2.5-1.2B-Thinking Model Demonstrates Impressive Instruction Following
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Thanks @xeophon and @natolambert for your kind words on @interconnectsai LFM2.5-1.2B-Thinking is even more impressive in terms of instruction following. Please check it out!
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VLA Models and Pixel-Based Robotics Control
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Yup, counting pixels for 2d mouse clicks is the start – not to mention all the VLA robotics applications
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Expert users skip basic explanations
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7/ DON'T assume I'm a beginner
— God of Prompt (@godofprompt) 2 février 2026
"Don't explain basic concepts. I'm [expert level/familiar with X]. Skip the 101 explanations."
When asking Claude about RAG systems, I don't need it to explain what embeddings are.
This unlocks the AI's full technical depth. pic.twitter.com/a6Vha11SOe7/ DON'T assume I'm a beginner "Don't explain basic concepts. I'm [expert level/familiar with X]. Skip the 101 explanations." When asking Claude about RAG systems, I don't need it to explain what embeddings are. This unlocks the AI's full technical depth.
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Decentralized AI computer as exponential learning machine
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A decentralized AI computer is an exponential learning machine. Each node can discover a way to improve itself. Test its theories. And report its results with each other. The whole network will improve together. Exponentially quickly. If you are going to compete with it you
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Open-Source Textbook on Machine Learning Systems Engineering
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#MachineLearning Systems — The Principles & Practices of Engineering Artificially Intelligent Systems: http://
mlsysbook.ai by @profvjreddi [Updated 2020-page PDF] “Open-source textbook on how to design and implement #AI systems effectively”
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#ML #MLOps #DataScience -
Machine Learning Accelerates Cell-Free Rapid Testing Innovation
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LDBT: Machine Learning Meets Rapid Cell-Free Testing
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @fabiomoioli @pascal_bornet @alliekmiller @mattshumer_ @OfficialLoganK @jeremyphoward @GaryMarcus -
IonQ versus Nvidia: Which AI Stock Is Better?
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Better Artificial Intelligence Stock: IonQ vs. Nvidia
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @timnitgebru @oriolvinyalsml @ceobillionaire @soumithchintala @waitin4agi_ @sallyeaves @bernardmarr -
User prefers Blevlabs over Grok due to superior quality
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Yeah, but Grok isn't nearly as good as @blevlabs so I'll just keep using that.
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First-Order Meta-Learning Algorithms: MAML Explained
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On First-Order Meta-Learning Algorithms Alex Nichol, Joshua Achiam, John Schulman: https://
arxiv.org/abs/1803.02999 #ArtificialIntelligence #MetaLearning #RSI