Most agent systems don’t fail because the model is bad. They fail because ownership is mush. This morning I upgraded my personal AI OS around one boring contract: Intent → Owner → Proof → Route-back → Learning Not another agent. Not another dashboard. Before adding your next AI agent, force one registry row. It must answer: 1. what state changes? 2. what proof is enough? 3. who owns failure? 4. where does the lesson land? If it can’t, don’t automate yet. You’re scaling ambiguity.

Spending on @OpenAI subscription is by far the best investment ever.

This is cool. Can’t wait to try it out!

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

You've been asking for this one... Now in preview: Codex in the ChatGPT mobile app. Start new work, review outputs, steer execution, and approve next steps, all from the ChatGPT mobile app. Codex will keep running on your laptop, Mac mini, or devbox.

This is insane!

Update went smoothly. Thanks @openclaw

People are quick to complain about open source projects, but slow to appreciate the builders behind them. @openclaw is still a baby. It will have bugs, rough edges, and missing pieces, that’s normal. But it is also opening up new possibilities for developers and the future of software tooling. Instead of dismissing it too early, maybe give the team a little more patience, feedback, and support. Open source grows because people build, test, break, improve, and contribute not because everyone sits on the sidelines throwing stones.

The hottest new programming language is English

First try using Codex Higgsfield MCP. Not bad 😅

Onyx will love this!

Every @openclaw update is a make or break sometimes 😅

You can literally learn anything these days to improve yourself. I just realised that I’m actually learning more than I used to during school days. 😂

Today, we launched browser use inside Codex to further close the build & verify loop for local development! Now, you can ask Codex to build your front end, and test it like a user would by clicking through the app. Codex sees everything a user sees through vision & checks the network/console logs to help debug & fix any issues that it finds. This change brings us closer to fully autonomous coding agents that delivers high quality and tested changes. Watch Codex test my app in the browser, catch & fix a real bug, and doing that loop again with a brand new feature.

Introducing GPT-5.5 A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done. Now available in ChatGPT and Codex.

Codex for (almost) everything. It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, remember how you like to work, and take on ongoing and repeatable tasks.

This is massive!

When you build your company's workflows around Claude Cowork, you are betting against local models and owning your infra, and inviting your company to long-term exploitation If I were Anthropic or OpenAI, I would be the most scared of local AI proliferating Let's do the math. A single large big lab subscription costs 200x12=$2400 per year If you want to have both OpenAI and Anthropic, that could cost $2400, $3600, or $4800, based on which combinations of Pro, Max plans you choose An ASUS Ascent GX10 costs $3000, and you can use that for many years. You don't get the same level of coding quality with open models yet, but maybe you want to do something simpler than coding today... There are already many people who started buying GPUs for this reason Now we know big labs are selling some of these plans at a loss. So they will likely get more expensive When you use Claude Cowork or similar, you are locking yourself into being a RENTER. Because once you set up workflows for a company, it takes time to migrate away to something else, even though we have AI to help Infra is sticky, it's how hyperscalers make profit. Think about the difference in amount you pay AWS vs Hetzner. This is B2B SaaS 101. Once you sell to a company, you are in for a long time, especially in Europe So if you build your company's AI workflows around a proprietary product by another company, then you are basically saying "Come exploit me as tolerably as you can in the next 10 years, because it will be too painful for me to switch" It's a great business for Anthropic. And Claude is awesome too! The feedback from friends who use it has been great, it made their lives a lot easier But when you build your company over proprietary AI infra, then you are making sure you will not be an OWNER, and partake in the usual sorrows of being a RENTER from a monopolist, which is exploitation This is not the case when you use open source agent infra. Whereas Anthropic is unlikely to let you use future open models in their future iteration of Claude Cowork, using free and open source frameworks like OpenClaw, Open Agents, etc. lets you drop in replace providers or local hardware if they start to upcharge you Keep this in mind, if you have a business

Recursive self-improvement is coming to the claw soon. 👁️🦞👁️💅

Cool