logic tom
80 posts


Today, we’re announcing Bonsai 27B: the first 27B-class model to run on a phone. Bonsai 27B is the new multimodal flagship of the Bonsai family. Based on Qwen3.6 27B, it brings a new capability tier to local AI: multi-step reasoning, structured tool use, long-context workflows, and coherent agentic loops. Until now, models in this class have been impractical to deploy locally. A 27B model occupies roughly 54 GB in 16-bit precision, and even a strong 4-bit build is around 18GB - too large for a phone and for most laptops. Bonsai 27B changes that. It comes in two variants: • Ternary Bonsai 27B: 5.9 GB, 1.71 effective bits per weight, optimized for laptop-class quality. • 1-bit Bonsai 27B: 3.9 GB, 1.125 effective bits per weight, optimized for phone-class footprint. Everything is open-sourced today under the Apache 2.0 license.


come for the best model, stay because we don’t treat you with contempt



LLMs are incredibly good at almost everything, except not sounding like an LLM.

He takes scamming to a whole new level







Claude Code on desktop now has an in-app browser. Claude can pull up docs, designs, or any other site. It can read, click through, and interact the same way it does with your local dev servers. It's sandboxed and configurable: you choose whether sessions persist.

Look what I found guys. Here's how you can get 5x more Codex limts: > Use GPT 5.6 Sol (Extra High) as Orchestrator > Use GPT 5.6 Luna (Extra High) as Executors. Ask Codex to plan in depth, then spin up 3-5 GPT 5.6 Luna subagents and get more work done at 3x less cost.











