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.
Our nightly pipeline writes, renders and publishes a video at 4:30am with nobody watching. Then it published one it shouldn’t have. The four-layer gate we built afterward, deterministic block, vision judge, fail-closed, and the undo button you build before you need it.
A local agent becomes genuinely useful the day you can teach it: skills are small text files it reads before acting. Here are the two we taught ours this week, summarize any YouTube link, answer only from my own notes, both downloadable, plus the GPU tax nobody warns you about and the honest bill.
A local model can join your Minecraft world and actually play, gather, craft, follow you, even recover from its own mistakes. Here is the working setup, the two silent failures that will waste your evening if nobody warns you, and an honest account of what an 8B model can and cannot do in there.
How one channel is run by five AI agents and a human editor, the roles, file-based coordination that beats meetings, the doer/checker starter pattern, and why teams multiply blind spots too.