Five small open models beat a big one, and agents come to your phone
An open-weight model is one you can download and run on your own computer. A project called Memdoor made a team of five Qwen3.8-27B models work together on hard coding problems. The author says the team beats a larger model, Fable 5, on LiveCodeBench Hard, a tough coding test. It got 230 points on Hacker News; it is one project's own result, not an independent review.
On r/LocalLLaMA, a user says a 64 GB Mac now runs Qwen3.8 27B as a coding agent with a huge 256k context, using about 50 GB of memory. On GitHub, DeepSeek shared a "superagent" prototype for more autonomous agents, and Mika, an on-device Android agent that operates your apps and the web, got over 3,000 stars.
Great news for privacy and cost. But an agent that taps through your phone apps has a lot of power, so start slowly.
Strong AI no longer needs a big cloud company, which is good for privacy and independence. But the same tools put autonomous agents on our phones and laptops, with fewer safety checks than ever.
