Eventually tracked down the problem to the Unsloth monkey-patching. Distributed runs even with one process fail, but if you use the regular models from transformers and `pef`, trained with `trl` then it doesn't deadlock… Hmm.
MACHINE LEARNING
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AI Accelerates Protein Folding Breakthroughs in Drug Discovery
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New on the NVIDIA AI Podcast: Chris Dallago (research lead at NVIDIA) and Martin Steinegger (co-author of AlphaFold paper) share how AI is accelerating protein folding breakthroughs, unlocking faster drug discovery and precision medicine. Listen now:
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Thinking Machines Lab Launches Connectionism Research Blog
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Besides the fun fact that Connectionism is connected with the early days of the AI field and highlights similarities between neural networks and human brains, the flagship product of the (first) Thinking Machines is named Connection Machine. — 🧑🎓Enjoy reading and more is coming! Thinking Machines (@thinkymachines) Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference” We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to prompt engineering. Here we share what we are working on and connect with the research community frequently and openly. The name Connectionism is a throwback to an earlier era of AI; it was the name of the subfield in the 1980s that studied neural networks and their similarity to biological brains. thinkingmachines.ai/blog/def… — https://nitter.net/thinkymachines/status/1965826369721623001#m
→ View original post on X — @lilianweng, 2025-09-10 17:24 UTC
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32B Parameters Model Outperforms Larger Models Reasoning
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Just 32B parameters – proving smaller models can be smarter, beating 10x larger models with deeper reasoning
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Deploying Tiny Vision Language Models on Jetson Nano
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📢 Getting Started with VLM on Jetson Nano
— Satya Mallick (@LearnOpenCV) 10 septembre 2025
Tiny Vision Language Models (VLMs) like Moondream2, LiquidAI’s LFM2-VL, Apple’s FastVLM, and Huggingface’s SmolVLM2 are bringing vision-language capabilities to the edge. In this tutorial, LearnOpenCV demonstrates how to deploy and run… pic.twitter.com/Rj7aIs4JslGetting Started with VLM on Jetson Nano Tiny Vision Language Models (VLMs) like Moondream2, LiquidAI’s LFM2-VL, Apple’s FastVLM, and Huggingface’s SmolVLM2 are bringing vision-language capabilities to the edge. In this tutorial, LearnOpenCV demonstrates how to deploy and run
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MonsieurPhi criticizes Luc’s update of AI knowledge
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I've talked about it a billion times on Twitch :') … In short, @MonsieurPhi is absolutely right to point out the problems with Luc's updating of knowledge and beliefs on AI-related topics. Saying that ChatGPT still invents nonsense that he cited,
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Deep dive into understanding AI models explained
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Amazing episode for anyone who wants to understand AI models at a deeper level. https://t.co/3mDrBA3fER
— Paul Roetzer (@paulroetzer) 10 septembre 2025Amazing episode for anyone who wants to understand AI models at a deeper level.
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Humanoid Robots Will Evolve Like Vacuum Robots Over Time
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Humanoid robots will develop in a similar way to vacuum robots. Initially, they will be a nice gadget with very limited functionality. But within a few months, or even fewer years, they will become more intelligent, be able to perform more tasks, and adapt better to their
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They Don’t Understand What’s Coming But They Will
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They don’t understand what’s coming, but they will
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Fundamental Misunderstanding of How AI Models Work
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I think you fundamentally misunderstand how these models work. Not a bad thing! But pls look into this further before commenting