Hello people of Sol! I've reset usage limits for all ChatGPT Work and Codex users. Together with that, a quick update on GPT-5.6 Sol usage limits. Over the past few weeks, many of you have told us that Sol was using your Codex limits faster than expected. To be clear, we have not reduced usage on any subscription plans. We’ve been digging into what was happening and have landed several improvements. As a result, we expect your usage to last around 18% longer during typical use of Sol. Some of you should already see significantly larger improvements from today. Tomorrow, we’ll also restore the five-hour limit that we temporarily paused while investigating. Here’s what we found: - GPT-5.6 Sol is much more willing to work for longer, make additional tool calls, and coordinate complex workflows across tools and subagents. That makes it better at solving hard problems, but some tasks were using far more than we intended. - Sol also works harder at the same reasoning effort than previous models. High on Sol can use more tokens than High did on GPT-5.5. - Programmatic tool calling, also referred to as code mode, gives Sol much more flexibility to run tool calls in parallel or continue working while waiting. But it also led to more responses per turn, more cached input tokens, and higher usage than expected. - This was particularly noticeable when Sol was waiting for tool calls to finish or running many web searches. We’ve improved how we handle both cases and are continuing to make code mode more efficient. - The impact was also very uneven. The median user actually found Sol quite token efficient, while some power users working on harder tasks saw their usage drain much faster. We were very focused on average and median usage before launch and missed some cases where the long tail could use significantly more usage. Sol is a significant step forward in what Codex can do, but capability and efficiency do not always improve at the same pace, and some issues only become clear once people are using the model at real-world scale. We should have recognized this sooner and been more upfront about it. You keep pushing the frontier and we’ll keep improving efficiency and sharing updates as we go.

Demonstrating a @Tesla with FSD to an elderly neighbor. She’s a perfect candidate: rich, lives alone, no longer drives at night due to poor vision. FSD would change her life. She would write a check for one today EXCEPT the text on the screen is too damned small. Even with the display adjusted to large print. Tesla, you’ve got 100 square inches to play with. Create an optional “old fogey” UI with minimum 48-point type. Remember, as @tom_peters says… women over 50 have All The Money and control all the car purchases. And they mostly wear bifocals.

细思极恐，我好像看懂 Anthropic 的老六套路了： 蒸馏问题还没解决的时候，先把拉垮的 Opus 4.7、Opus 4.8、Opus 5 放出来，让友商随便蒸。（顺便含泪赚走几千万美元 API 费 💰） 等到反蒸馏技术终于有了突破，蒸馏数据提取量暴降最高 99%，才把压箱底的真神 Opus 5.5 端上桌。 这次直接锁死完整推理过程，让你看得到，吃不到。🤣 友商花几千万美元蒸了一堆次品，Anthropic 不仅赚麻了，还把真正的王牌留给了自己。 Dario，你是真会做生意啊 💀

The back of the Navier-Stokes milestone shirt is the last line of the chain-of-thought from the solution:

Do a kickflip!

OMG the Tesla Roadster just flew in the air!

they're trying to cut open the bird to find the song

OpenAI does anti-honeypot training. From the article: 'In training sessions, OpenAI has warned employees that outsiders, including competitors and state-sponsored actors, could try to get access to company information. Company leaders have said that could take the form of people offering money, listening in cafes or even trying to seduce OpenAI employees, people familiar with the matter said. Employees at other AI heavyweights, including Anthropic and Google, have received similar warnings.'

I agree, time for Ukraine to get a new leader

Cadence too fast Trill issue

JUST IN: Japanese city officials are accused of inflating census numbers by adding empty households to hide the appearance of a shrinking population.