Codex is doing AI research for me on Talkie using its in-app browser research question: can an LLM trained only on 1930s text learn to code?
LLMS
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1000+ Local AI Models Platform for Offline Agents
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That's a wrap > 1,000+ models including Qwen and Llama, MLX and everything to power your agents with local models running agent
> Completely offline
> Blazing fast thanks to Google TurboQuant Try it yourself → http://
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Running 35B LLM Locally on MacBook with Impressive Speed
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HOLY MOLY running a 35B model locally on a MacBook shouldn’t be THIS FAST 🤯
— Charly Wargnier (@DataChaz) 28 avril 2026
Spent my weekend in @atomic_chat_hq testing Qwen 35B vs. Qwen 27B on my local machine.
I had them generate a fully animated HTML/Canvas car mini-game (demo below),
… and both models breezed through… pic.twitter.com/WXboJCSDZnHOLY MOLY running a 35B model locally on a MacBook shouldn’t be THIS FAST Spent my weekend in @atomic_chat_hq testing Qwen 35B vs. Qwen 27B on my local machine. I had them generate a fully animated HTML/Canvas car mini-game (demo below), … and both models breezed through
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Testing Time LLM from Industry Legends
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Test of Time LLM from some legends…pretty fun! https://t.co/ZsH7oLkUSM
— Soumith Chintala (@soumithchintala) 28 avril 2026Test of Time LLM from some legends…pretty fun!
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Daily drops on LLMs agents and data workflows
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♻️ If this sparked an idea, hit repost so others can catch it too!
— Charly Wargnier (@DataChaz) 28 avril 2026
Follow me → @datachaz for daily drops on LLMs, agents, and data workflows 🦾 https://t.co/SDIX3Rm3tdIf this sparked an idea, hit repost so others can catch it too! Follow me → @datachaz for daily drops on LLMs, agents, and data workflows
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Liquid’s Approach to Small Models and Agentic Reinforcement Learning
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Quick chat about what Liquid does with small models, unique challenges, and smol agentic RL 👀
— Maxime Labonne (@maximelabonne) 28 avril 2026
Thanks for the invitation @josephinePqt1! https://t.co/CDpKefwLPLQuick chat about what Liquid does with small models, unique challenges, and smol agentic RL Thanks for the invitation @josephinePqt1
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DeepSeek V4 Prefill Support Praised Amid Provider Trend
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This is great – @deepseek_ai V4 supports prefill! 😀 Most other providers have been dropping support for this critically important capability, so wonderful to see at least one company stepping up.
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Transformer Architecture Blind Spot Fixed After 10 Years
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The Transformer's biggest blind spot just got fixed after 10 years. Deep models have a silent problem. Signal from early layers gets buried as it climbs the stack. By the top, the original information is nearly gone. Past attempts blended layer outputs with smarter weights.
