One of the most useful ways to use Local AI is for long running tasks especially when…
This is a dev post classified by Jev as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
One of the most useful ways to use Local AI is for long running tasks especially when managing the work of much smarter Cloud agents. ... but how to keep working for hours without losing focus (or coherence)? 🎯 This is where Occamy-1.0 comes in! Accio-Lab took Qwen3.6-35B-A3B and heavily post-trained it specifically for long-running agent/co-work tasks. 🧠 35B total parameters ⚡ only ~3B active/token 📚 262K context The training targets things agents actually need to do: 🔎 Search 💻 Terminal + coding 📁 Files 🔧 Tool calls 🌐 APIs 🤝 Delegated runs 🧠 Maintain state across long workflows 🔄 Recover
Posted by David Hendrickson (11.1k followers) 2 days ago · 108 likes · 7k views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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