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Introducing SuperHQ - The sandboxed AI agent orchestration platform
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The trick to getting the open source LLMs to be better at Python has little to do with "waiting for
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How to Connect Claude Code to a Live Jupyter Notebook
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Stanford's CS Department runs 1M+ sandboxes a month, training open source AI agents without a single
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Yo stop talking so much about agent harnesses and start building them today. There are no excuses an
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The world model community has been waiting for something like this 👇
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想系统学强化学习,最劝退的往往是两种资料:一种只讲概念,学完照样不会做;另一种公式堆满页,两章就读不下去。
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Introducing Generative UI for Claude Code, Codex and Pi
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The hard part of training agents is the infrastructure: long rollouts, slow environments, tool calls
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Refreshing deep learning with a 400+ textbook: "The Principles of Deep Learning Theory"
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Just saw that the LLMs-from-scratch repository passed 100,000 stars on GitHub!
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Build a Large Language Model from scratch!
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🚨Oh my! A new (🇫🇷) Open Source computer-use LLM. Look at these benchmarks! 👀 Holo3 beats Qwen3.5, Ki
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TurboQuant. Deployed it on an old 3070 running @nousresearch Hermes Agent. OmniCoder 9B (finetuned Q
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you can now literally ctrl+f your video footage.. 🤯
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installed the icarus plugin on my Hermes agent. it picked up all 6 tools automatically.
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I've build so much with my Hermes Agent in the last week, it's insane. 10x's my workflow, using sub
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Someone on Github Uploaded Company wise Interview Questions 😭😭
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Played around with this. This was exactly something I was looking for!
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I built a tiny-vllm in C++ and CUDA
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Here comes AutoClaw. We offer a new solution to run OpenClaw locally on your own machine.
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🚨 JUST IN: SOMEONE JUST BUILT A FREE TOOL that lets you DESIGN YOUR DREAM HOME. In 3D. IN YOUR BROWS
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Paper review: LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
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23 notebooks to finetune any LLM
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