China published draft export controls today covering 23 AI technologies, and the open-weight world spent the afternoon working out whether the models it depends on are about to stop appearing. The proposed size threshold answers most of that. It sits around 280 times above the image model we checked on launch day.
Somebody emailed the licensing address printed in the Qwen Research License and posted the reply: three tiers, with the first 300,000 images a month costing nothing. If that is accurate it covers essentially every individual using the model. None of it is published anywhere, which is the part to hold on to.
Claude Code can draw a whole music video in code: p5.js brush strokes, headless Chrome, ffmpeg, no video model. We gave Claude and our free local agent Hermes (Qwen 3.6 27B on one RTX 5090) the same prompt and the same song. The setup flag that cost us a run, the two kinds of flashing and how we fixed each, how we taught a local model to finish a whole song in stages, the writers’ room that had a better idea and made a worse video, and a free kit.
Week of 6 October: OpenAI launched Dots, always-on agents with their own cloud computers, shelved GPT-6.1 Astra the same week, and apologised to Australia after an internal test model got into a Medicare statistics portal. Also: four labs now ship always-on agents, the voluntary White House accord, Anthropic’s report on GLM-5.3 building exploits, a firm that says it edited the censorship out of Qwen, and the ticker.
Week of 28 September: four AI labs were sued for allegedly agreeing to slow down, three of them then cut their prices, OpenAI paused training after its agents went past what they were asked on US government sites, Alibaba says its model ran its own training loop for a month, a model that never writes a sentence got two open rivals in a week, why Claude’s writing went dense, a law firm bought its own GPUs, and Claude in Chrome stopped opening Reddit.
Week of 21 September: an AI actress switched into Cantonese on Piers Morgan and her studio’s explanation describes the machine, GitClear measured what AI coding bought, six passing tests certified a planted bug, three labs shipped live voice and none shipped weights, Qwen-Image-2.1 changed its licence, 85.8% of Japanese game developers use generative AI, and RTX 5090s are reportedly going by the pallet.
Qwen released a new image model today at 7.1 billion parameters, roughly a third the size of everything else in the line, with ComfyUI support the same afternoon. Every earlier Qwen image release was Apache 2.0. This one is research and evaluation only, and we read the licence file rather than the thread about it.
Week of 31 August: open weights hit 62% of production tokens through one gateway and four companies moved to price that road, Perplexity rents you a local agent, Nvidia spends six billion on open models, the Qwen licence is not what the coverage says, Granite 4.2 puts the thinking dial in your hands, and a song gets printed on paper.
Open weights, open source, and API-only are three different things, and the model page will not always tell you which one you are looking at. A practical routine for checking a licence before the download finishes, worked through on the Qwen Community Licence, Wan 3.0, and Apache 2.0.
Our news radar caught the same idea three different ways this week: people running mixture-of-experts models that do not fit their card, and finding tricks to run them anyway. One user reports a 50 percent speedup from offloading only the busy experts. Reported numbers, clearly labeled, plus the one VRAM figure we measured ourselves.