Bullish on open source, open weights, the open web And the open desktop Personal Operating Systems feel like the natural next step after Personal Software I've been building a Debian-based OS for myself that can run across physical machines and cloud environments like Vercel Sandbox I can use and control it with natural language, and I'm designing the UI around a blend of ephemeral and persistent views rather than treating the desktop as a fixed set of apps and windows There's something really special about having control over the UI/UX of the Whole Computer

Not sure what model Space Bunny is, but I am impressed. I had a chance to test it this week. It's free in OpenCode for the next week, with a 1M token context window and image input. I focused my tests on visual work, mostly starting from a single image or sketch. Here are my results. Overall, its visual understanding is excellent, and its design taste is strong. One behavior that stood out is that it checks its own work. When it has a browser, it opens the page, looks at screenshots, and fixes what it sees before it says it's done. These verification capabilities matter in long-horizon agents. From a rough wireframe with seven handwritten notes, it built a full landing page and followed every note. From one photo of a moka pot, it built a 3D model that matches the original down to the eight-sided body, the brass valve, and the camping stove underneath. It built a 3D anatomy of a mirrorless camera with 67 labeled parts, an 11-element lens, a 9-blade iris, and an exploded view. Very excited about these results. I asked it for a 60-second animated proof of why a circle's area is πr². It built the whole thing, with slices that rearrange into a rectangle, a live slider, captions, and narration. Not perfect, but still impressive. I gave it a rough hand-drawn sketch of a game level. It built a playable 3D game in Three.js that follows the sketch and all ten rules I wrote on it. Then it playtested its own jumps in Chrome and tuned the physics until every lava stone was reachable. Based on this, I would reach for it for image-to-code work, interactive prototypes, and creative coding in 3D. It’s also quite fast, which makes it great for rapid prototyping. Space Bunny generated everything in the video in OpenCode. I wrote the prompts and supplied the images.

A mystery model just appeared on OpenRouter: Space Bunny Alpha. It’s free to try, has a 1M-token context window, accepts images and video, and is pitched as fast and strong at coding. Community fingerprinting points to a MiniMax M3.1 preview (@MiniMax_AI), but nobody has officially confirmed who made it. If that guess is right, this is a pretty fun way to preview what MiniMax has been cooking.

Release 2609 is live! In this Progress Report, we were harassed by AI (yes, even more), add an XFB resolution display for the curious, finally let you play Bird's-Eye Bull's-Eye on Android, added NetPlay to Android, and more! dolphin-emu.org/blog/2026/09…

First math. Now we’re starting to see similar acceleration in biology. it was fast... AI is starting to make big biological discoveries Anthropic says Claude autonomously discovered a previously uncharacterized enzyme system with CRISPR like DNA repeats while searching massive genomic databases. Around 950 Claude agents worked for 21 hours, analyzed more than 200,000 reverse transcriptases, generated 1000s of candidates, and surfaced a system human researchers then validated experimentally. The function of the new system, called ART, is still being investigated, but its architecture resembles other programmable biological systems capable of manipulating genetic information. If this kind of AI driven genome mining scales, it could compress weeks or months of expert research into hours. 👀 "This is the first result from our new molecular biology lab, where a team of Anthropic biologists is using Claude to explore and accelerate fundamental biology research. There, Claude works through data and literature to generate hypotheses and candidate biological systems to study. After our scientists review Claude’s hypotheses, they test the most promising ideas, with all lab work done by our scientists. We’d like to extend this approach to a broad range of problems—in genomics and in other fields" 1000s x acceleration incoming. because of that aging reversal therapies are near (2030s)

Disclosed AI use in math rose from 1.39% to 14.09% in under 6 months. The authors scanned 32,944 math-related arXiv papers posted March 1 to August 20, 2026. Proof construction was the biggest category, appearing in 1,225 papers. AI is not spreading evenly across math: Combinatorics had the largest number of AI-assisted papers overall, while Metric Geometry had the biggest percentage of its own papers using AI.

People outside the AI labs should have a real say in how this technology develops, and a clear way to judge if it's happening safely. Standards should help prevent the concentration of power, including by making sure new companies and open-model companies can compete. They should also help countries and companies compare evidence and learn from failures. We think the US should lead this effort. Here is our proposal: openai.com/index/building-st…

What I like about Jev: for years, large generalist models sucked almost all the oxygen out of AI. But there are huge opportunities in much more specialized and customized models, built for specific tasks and languages and as a result, orders of magnitude cheaper, faster and more optimized. There are 3 million of them publicly available on @huggingface. Let's build a much more diverse AI ecosystem!