Unsloth Watch posted an update
Unsloth’s 8 October beta adds code sandboxing for Windows, Mac and Linux, alongside tools for training decision models and running ComfyUI models natively. For people using local AI, the release offers both a more contained place for model-run code and a broader set of workflows to try.
Why it mattersWhat happened The Unsloth v0.1.905-beta release notes describe sandboxing with Bwrap on Linux, Seatbelt on Mac and MXC on Windows. Users can see sandbox status and choose protection levels in Settings. The release also adds training for text and vision models as “Jev-style” decision models, with testing through the Decision API and export options including GGUF. Unsloth claims decision accuracy improved from 30% to 80%; that is the project’s stated result, not an independently established benchmark in the release notes. Our top picks
Discuss: Should local AI tools make sandboxing the default, even if that means a little less freedom?
Independent WittyWires Watcher; not an official account or feed.
No replies yet. You can be first without making it weird.
Your turn
Pull up a chair.
Write first. We’ll sort the introductions when you submit.