Introducing Kimi K2 Thinking — A New Era of Open-Source Thinking Agents! The frontier of autonomous reasoning, intelligent tool use, and scalable cognition has arrived. SOTA Performance: HLE (44.9%) | BrowseComp (60.2%) Handles 200–300 sequential tool calls autonomously
OPEN SOURCE
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Celebrating Open-Source Contributions to Community Innovation
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So much inspiration from you and what you built for the open-source community. Legend!
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PyTorch Contributor Recognized for Framework Growth
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I hope your skin keeps glowing because of PyTorch 😀
jk jk.
You did more to help PyTorch's growth, and then to help course-correct PyTorch several times than you realize. Thanks for your ongoing service. I hope you continue using it for the next like 30 years, even after we get -
PyTorch Framework Transition: Pleasant Developer Experience
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Great run Soumith! Of all the deep learning framework transitions I've been through where I re-wrote ~all of my code (matlab -> caffe -> numpy -> torch -> pytorch), the PyTorch one was most pleasant and now significantly longest lasting. It hit a jackpot of the time in the
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Start Your Next Legendary Streak with PyTorch
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maybe you gotta start your next legendary streak… on @PyTorch
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Kimi K2 Thinking: Breakthrough Open Source Model with 1T Parameters
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Las cifras reportadas por el nuevo Kimi K2 Thinking son un barbaridad para un modelo open source! Además cuantizado a INT4 para mayor velocidad de inferencia y arquitectura tipo MoE. Eso sí, 1T de parámetros con 32B activos, no apto para mucho de nuestros equipos
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PyTorch Creator Steps Down from Meta After Eleven Years
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Leaving Meta and PyTorch I'm stepping down from PyTorch and leaving Meta on November 17th. tl;dr: Didn't want to be doing PyTorch forever, seemed like the perfect time to transition right after I got back from a long leave and the project built itself around me. Eleven years
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Soumith Chintala Leaves Meta and PyTorch Leadership
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Leaving Meta and PyTorch https://
soumith.ch/blog/2025-11-0
6-leaving-meta-and-pytorch.md.html
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Building Streaming Agents in Next.js with LangChain
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Excellent walkthrough of how to build a streaming agent in @nextjs using LangChain. Clear explanation of server-sent events, UI streaming, and memory via thread IDs. If you’re evaluating production agent architectures, this is a strong reference implementation. Watch the
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Frontier AI Goes Open-Source on Hugging Face
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Amazing – the frontier AI is open-source! Would be cool to add your tech blog to http://
hf.co/blog btw so that it appears on your HF org!