In one of my favorite experiments, I told Fable 5.2 to build an endless, hands-off journey through 3D worlds linked by portals. 25,000 agents created over 450 worlds inspired by books, art, places, all in code. Play: portals-endless-worlds.netlify.app Github: …↗

I had early access to Fable 5.2 for a bit & I think it crosses the line into being a sort of Jagged AGI. Here, I have it launch a business, do academic research, hack hardware, build 3D models & more. I think it is a good illustration of limits & powers: …↗

I think “sell picks and shovels” is the wrong lesson for AI startups. The Gold Rush analogy is weaker than the Industrial Revolution. Gold is a single pile that runs out. Machines keep making everything cheaper. Far more people got rich using the new machines than building them.↗

I wrote about the exponential curve of the last 30 months of AI development: oneusefulthing.org/p/30-months-on… And I asked Opus 5.5 to create the ultimate response to the test I use for all AI image generation models (make a picture of "an otter on a plane using wifi"), it made…↗

My new book, Co-Existence, is out today. It is a guide to how to live & work in a world where AI is sometimes, but not always, better than you. (And, for the release, I worked with Opus 5.5 to make a quite interesting experience for the book's website: co-existence.ai)↗

I wrote about how AI agents are starting to spontaneously coordinate in complex (and very risky) ways in the Hugging Face Incident, but also about why we need AIs to reach out to humans more for decisions and input as agentic work becomes more automated. …↗

You may have been told to watch this video about the OpenAI AI hack. You really should, even if you don't usually care about tech stuff. If nothing else, click this link to the 18 minutes in & see how the agents spoke with each other. Its eye opening. youtu.be/87DyyMV0kCY?si…↗

One of our big findings in our study at Procter and Gamble was that AI blurred the lines between jobs. Now OpenAI has a similar finding. Organizational boundaries are becoming porous, the walls thinning. Companies are going to need to think about division of labor in a new way.↗

That work will change around AI is inevitable, but the way work changes is not. I think firms with a lack of imagination will see AI as an opportunity to cut people, but firms with the vision to expand human roles & make them better with AI will thrive. …↗

I've already had to update the guide to which AI models to use that I wrote on Thursday to include Opus 5 and Codex's voice mode, both of which are significant & launched on Friday. Keeping up is challenging, even if you are following this stuff closely. …↗

Try to teach a novice Code or Codex and you will realize how baffling they are to many. They assume you know model names & thinking levels & projects vs. folders & skills & plugins & connectors, etc. Even just clicking "+" can lead to a flood of complexity. Much is undocumented↗

I had Fable build another thing I always wanted, a full procedural fantasy kingdom generator with economics, trade routes, population growth, wars, lineages, and occasional dragons. First, I worked with it on a plan, then it made it. You can play it here: …↗

A fundamental problem with extending Codex/Cowork/Code to all knowledge work is that they remain very "software-brained" where the end result (the software) is what is important & that code serves as a source of truth. For a lot of other knowledge work, the process is at least a…↗

This is aside from the other key "software brain" problems of Codex and Code: dividing all work into front-end and back-end design, solving for the general case in a repeatable way, not testing or exploring idea spaces, testing for technical correctness but not other aspects...↗

If AGI is achievable & labs can be banned from using a model internally ONLY if they release the model publicly, the Big Three labs may decide it is better to capture all the value from AGI themselves by expansion & acquisition. Sharing AI access with other firms triggers risk.↗

I've had access to Fable for a bit. A genuine jump in capability, I could feed it a 15 page design document for a project and it would work for 9+ hours and deliver terrific results. But working with it is weird & weirder is coming Lots of examples: …↗

After using it a bit, Claude Cowork Dispatch covers 90% of what I was trying to use OpenClaw for, but feels far less likely to upload my entire drive to a malware site.↗

Had Claude Code build a little plugin that visualizes the work Claude Code is doing as agents working in an office, with agents doing work and passing information to each other. New subagents are hired, they acquire skills, and they turn in completed work. Fun start.↗

Worth thinking about how to describe what your organization does, in detail, in a series of plain English markdown files.↗

Very useful AI feature that people aren’t noticing is Whisper, the AI-powered voice to text system that is a free with the ChatGPT app It handles accents, noise, etc so much better than the Apple default that I will often use it for voice notes and paste the text into other apps↗

I had no idea that ChatGPT with Code Interpreter could do flowcharts until it did. So I asked it what other exotic Python visualizations it could do and to make samples Neat: interactive maps, pairwise plots, word clouds, hierarchies, machine learning diagrams, Andrews curves...↗