Except that we can make Opensource and Local AI win. Anthropic isn’t Google, it’s Microsoft , and Microsoft was beaten; they even ship Linux now.
OPEN SOURCE
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AI Agent Tech Stack Explained with Key Technologies and Tools
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The AI Agent Tech Stack Explained! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Next step: post-training your own models on open-source
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next step: post-training your own models based on open-source!
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Anthropic’s fearmongering prompts urgent open-source AI sovereignty
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This is Anthropic's fearmongering dictating terms on the entire industry, and it cannot go unnoticed Every enterprise out there needs to move as fast as possible to ensure its Intelligent Infrastructure Sovereignty, securing their compute need and moving to Opensource AI
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Critique of Dario’s apocalyptic predictions and privatization of AI models
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All of this is because of Dario, damn it, and his apocalyptic delusions. There. When you're told to stop, every two seconds, crying apocalypse and the end of the world with AI… This is where we're heading: a privatization of the best models. Bravo. GG. Thanks guys.
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The timeline where open source AI wins
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This is the timeline where Opensource AI wins. pic.twitter.com/a9LMJfSKts
— Ahmad (@TheAhmadOsman) 26 juin 2026This is the timeline where Opensource AI wins.
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AA-Briefcase leaderboard for realistic tasks; Nemotron 3 Ultra top
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@ArtificialAnlys just dropped a brand new leaderboard called AA-Briefcase for evaluating realistic tasks in complex projects. Nemotron 3 Ultra ranks among the top open models, with strong performance across a wide range of long-running agentic tasks, even when encountering them -
Slime: Open source RL framework behind GLM-5.2 post-training
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The RL framework behind GLM-5.2 is fully open source. The full post-training of GLM-5.2 ran on it in about two days. The same stack sits behind the entire GLM series, from 4.5 to 5.1. It is called slime, and it is built around one idea. Keep a single RL kernel, and push all the
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2nd Edition Graph Machine Learning with PyTorch Geometric and DGL
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2nd Edition at http://
amzn.to/45Y3LyI Graph Machine Learning — the latest advancements in graph data to build robust machine learning algorithms. 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library -
Open-source Ornith-1.0 models rival frontier agentic coding performance
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Open-source models are rapidly closing the gap on frontier agentic coding. The launch of the Ornith-1.0 family proves you don't need a closed API to get top-tier coding agent performance! Built on top of Gemma 4 and Qwen 3.5, Ornith uses a self-scaffolding RL pipeline to