Anthropic's red team showed a large open model copying itself across cheap Android TV boxes, and says small models could do the same by the end of 2026. Today none can do it end to end. The boxes it used had a debugging port left open, and fixing that is the practical lesson.
Meta's first frontier models, Muse Wonder and Muse Wonder Full, launched October 12. Wonder Full posts the headline benchmark wins, but it's only available inside Meta's $50-$200/month Muse Code app. Developers get the weaker Wonder. And the company that made open models mainstream released no weights at all.
Liquid AI released d1-3B and d1-omni-600M, open-weight decision models that return a typed answer in a single pass with zero output tokens. d1-3B answers in 8 ms on an RTX 4090 and 50 ms on a small Jetson board.
Reflection AI announced Beam, a 501-billion-parameter open-weight model for coding and agents. Its own benchmark table shows DeepSeek V4.1 Flash ahead on most shared tests. Beam's real pitch is efficiency, and the weights aren't out yet.
Alibaba's Qwen3.8-27B scored 52 on Artificial Analysis' Intelligence Index — matching GPT-5.6 Luna — from a file small enough to sit on a laptop. Three million downloads in three days. Here's what it changes for your business, and what the headlines are leaving out.