jonah lipsitt

This actually not the version of GPT-5.6 Sol on Cerebras. Just normal /fast mode. Running it at 750+ TPS is a whole other thing.

GPT-5.6 Sol on 750 Token/s in Blender. Not sped up. Holy moly. That’s so much more impressive than looking at benchmarks

Introducing ChatGPT Work, a new agent in ChatGPT powered by Codex and GPT-5.6. It can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It’s a whole new way to get work done.

Good read about today’s model release - 🌞!

I’ve been using GPT-5.6 Sol internally for the past two months, I've spent probably 25+ billion tokens. Here’s my review and comparison to Fable 5: > Let's start with the analogy because everyone seems to be giving theirs - GPT-5.6 is likely the last version of the GPT-5 training run series. It's kind of like an athlete at their peak. Through years of experience in the game, they've become the most reliable player and has the highest game IQ. But, there's no more room to grow. Fable on the other hand, being essentially the first version of a new training run, is the first round draft pick rookie. Raw talent mixed with the energy only a young person would have results in some incredible plays we didn't think possible, but also mistakes due to lack of experience. But that rookie will only improve and likely will be better than the veteran ever was because it's a new game and a new era. > GPT-5.6 is genuinely better at long, sustained work. With /goal, I've had it running complex projects for days with almost no intervention. It built a Minecraft-style game, kept adding features and mobs after the core game worked, and only stopped because I stopped the run. I never felt as though I had to jump in and guide it back to the right path. > It keeps finding useful work when you give it a concrete finish line. I had it recreate Excel with a loop. It inspected the real desktop excel app with Computer Use, comparing that against its own build, and closing the gaps. I stopped it after six days after it had built an incredible amount of functionality. > It's faster than other models in two different ways. The raw generation speed is higher, something OpenAI has been putting effort into. But it also takes a shorter path to solutions. It wanders less, changes less code, and generally knows how to get things done directly. In daily use, it feels about 2-3x times faster than Fable. That's my impression, not a controlled benchmark. The difference is large enough that I notice it constantly. > It works well across a wide range of tasks. I use it for one-line edits, quick questions, browser chores, and multi-day builds without changing my prompting style. Speaking of browser control, its the best ever I've used. To the point where I actually use it often. If a task lives on a website, GPT-5.6 usually opens the browser and does it there instead of asking for an API key or forcing everything through the terminal. When I switched back to GPT-5.5, it went straight to the command line even when the browser was clearly the better tool. > And it can handle real browser work, not just toy demos. During a data import, I had it monitor Supabase and resize instances as the load changed. It stayed on the dashboard, adjusted capacity, and checked the result without an API or a custom script. > I also gave it a full Google Workspace migration. It moved Forward Future from forwardfuture.ai to forwardfuture.com, preserved the old aliases, and configured MX, SPF, and DKIM. Before a consequential save, it stopped, explained exactly what would change, and waited for confirmation. > The reasoning setting matters a lot. Light is good for questions and small edits. High and Extra High are the sweet spots for serious work. Ultra usually takes longer than the extra thinking is worth and burns tokens. > I love that 5.6 is split into 3 sizes. Not only can you control speed and cost that way, but you still also have the thinking effort setting for each of them. Very precise controls. I just wish Codex automatically routed my prompts for me. > Its personality is blunt and a little bland. Claude feels warmer and more natural to talk to. GPT-5.6 is more clinical, but I like that for work. It gives me enough explanation and rarely pads the answer. I usually have to ask Fable to explain things more simply and/or more concise. > Its front-end taste has improved, but the default is predictable. Left alone, it turns websites into PowerPoint decks with huge statements and hard section breaks. The good news is that it takes design direction well and can revise without destroying the parts that already work. > It still makes confident mistakes. I asked it to rebuild parts of a system, and it told me the job was finished. Later, I found out it wasn't. Bits of its internal process also leak into the answer occasionally. > Claude Fable is more naturally autonomous on large, open-ended projects. GPT-5.6 is easier to reach for. I don't need to invent a huge project to justify using it. It works just as well for a small edit or browser chore. > GPT-5.6 is also cheaper. Sol costs $5 per million input tokens and $30 per million output tokens. Fable costs $10 and $50. Cached input is cheaper too. Still, cost per finished task matters more than cost per token. > GPT-5.6 isn't the best at everything, and it still needs supervision. But it generates faster, wanders less, works at almost any scale, and wastes less of my time. It's the model I have the most confidence in to get the job done right the first time. I put together a full breakdown with all the tests, prompts, and examples on a site. You can read it here: signals.forwardfuture.com/gpt-5-6-review/

Come watch! This will be a good one!

"When intelligence is plentiful, volition is valuable. The people who are going to make a difference are not the ones who seek relaxation and passively use AI to work less. They are the ones who will seek improvement and actively wrestle with AI to develop their own mental capabilities and accomplish more." theatlantic.com/ideas/2026/06/…

I just finished my first week at @OpenAI. It feels surreal to write that. 🎓 This is a company and a moment in technology that I have spent years watching closely. To now be inside it, surrounded by people who are not only exceptionally smart but also kind, thoughtful, and deeply serious about the work, is hard to fully put into words. I will be working in higher education, helping universities, faculty, students, and staff adopt AI in ways that are useful, responsible, and lasting. That work feels especially important to me. Before moving into AI, my background was in climate change and public health. Those fields taught me that many of our biggest problems are not limited by a lack of intelligence, effort, or good ideas. They are often limited by how quickly knowledge spreads, how well people can collaborate, and whether the right tools reach the people trying to solve them. I believe AI can meaningfully expand what those people are able to do. Universities sit at the center of that opportunity. They educate future leaders, produce new knowledge, and bring together many of the people working on the hardest scientific, social, and institutional challenges we face. The chance to help those communities use these tools well is incredibly exciting to me. It also feels like a rare opportunity to work on something that could have consequences far beyond any one institution or field. I have a lot to learn, and I am still taking in how fortunate I am to be here. Mostly, I am just very excited to get to work and begin this wild journey. 🚀

A little over a week ago, I wrapped up my time at @ForwardFuture. The last year has been one of the most formative and fun chapters of my career. I got to help build something I genuinely believe in: an AI-native media company focused on helping more people understand, learn, and use AI. I’m especially grateful to @MatthewBerman, who has been an incredible resource for learning AI, and an even better mentor, friend, and colleague. I’m also deeply grateful to @NickWentz_, @Alex_FF, @ForwardEditor (Brian), and Audrey. They are some of the brightest, funniest, most thoughtful, and most human people I’ve ever had the chance to work with. I’ll always be grateful for the time we spent building Forward Future together, and I’m excited to keep rooting for them from the sidelines as they continue building a company that helps democratize access to AI knowledge. Check out what they’re building at forwardfuture.com. A great resource for AI newcomers and power-users alike. I am excited to share more about what I’m doing next in the coming days.

@MatthewBerman yup!

@jonah_lipsitt LOL did you notice the initial fumble of the bottle?

Scariest moment of my life during the Sundar interview...

/goal, /plan, 5.5-extrahigh, full-access

The Combo. My favorite codex chat settings for insane, long-running, agentic response.

Yesssssss. I have been waiting for this! My top asked for feature is now live! Yesssssss.

Been using this in codex via the MCP, but now it will be native. HyperFrames is AMAZING for motion graphics. It’s my go to data visualization package.

can't wait can't wait can't wait. Remote Codex + Improved realtime voice models are my fantasy on-the-go agent control.

You can now just build amazing voice agents, with the GPT-Realtime-2 reasoning model in our API:

Been waiting for this. Having more powerful browser control and integration with my chrome tabs is a big unlock!

Make it easy to try out Codex! First we had memory migration, now we have project migration. More migration is better for user choice. <3

GPT-5.5 Instant is starting to roll out in ChatGPT. It’s a big upgrade, giving you smarter, clearer, and more personalized answers in a warmer, more natural tone. And it's also more concise, which we heard you wanted. We think you'll love chatting with it.