#OpenAI

The whole “20x” in Claude’s pricing is so misleading. The $100 plan says 5x Pro limits, while the $200 plan says 20x Pro limits. That makes it sound like you’re getting 4x the usage. But the 20x applies only to the 5-hour usage window. The weekly limit is basically just 2x the $100 plan. I spent way too much time digging through the internet and Reddit to figure this out. They could’ve just stated the limits directly instead of marketing it as “20x.” That alone would’ve saved me hours of confusion.

This celebration is moved to tomorrow as the button was already pressed today.

China is secretly fueling America's data center rage https://www.axios.com/2026/08/28/china-ai-data-center-backlash-bots

Our latest AI model market share estimates about 35% of token spend — via coding agents and other APIs — goes to OpenAI. Per business spend in @tryramp data

We’re sorry to see that OpenAI put out a note saying they plan to block Cursor users from accessing OpenAI models in three months. OpenAI models serve about 5% of Cursor user traffic, and we’re speaking with the OpenAI team to resolve this. Cursor was one of the very first users of OpenAI, we’ve worked closely with their team for years, and we’ve trusted their platform to be neutral infrastructure for our business.

在Cursor被SpaceX收购后，我们将终止与其的合作关系。根据我们的提议，Cursor对我们模型的直接访问将于11月12日结束。 我们知道，受这一决定影响最大的是那些在Cursor中依赖OpenAI模型的开发者。我们关心他们在此过渡期间的体验，并准备竭尽全力为他们提供支持。 https://openai.com/index/our-decision-on-cursor-following-its-acquisition-by-spacex/

在Cursor被SpaceX收购后，我们将终止与其的合作关系。根据我们的提议，Cursor对我们模型的直接访问将于11月12日结束。 我们知道，受这一决定影响最大的是那些在Cursor中依赖OpenAI模型的开发者。我们关心他们在此过渡期间的体验，并准备竭尽全力为他们提供支持。 https://openai.com/index/our-decision-on-cursor-following-its-acquisition-by-spacex/

"Long-horizon tasks are still a joke. They do not work, and I do not care what anybody says. Do not show me a stupid evaluation. Do not tell me about some dumb script you ran for 48 hours. Long-horizon tasks are not handled well. They simply do not work." - Chamath at Stanford AI Club "2nd, complex problems also do not work. They are neither addressed nor handled well. Why is this important? If AI develops like any other technology, we are going to experience an initial rise—the hype cycle. Then, we will see a natural contraction because, somehow and somewhere, something is going to fail. We are all going to see this, and then we will enter what is called the “trough of disillusionment.” I think the business and MBA folks will confirm whether that is true. Afterward, you typically see the slow and gradual adoption of the real, final solution. This happened with the internet, and it has happened in many other cases. The problem is that we are spending hundreds of billions, potentially trillions, of dollars trying to figure out how to cross this chasm. So, what do we do? If we do not figure this out, people will reach the trough of disillusionment and say that AI was a joke. I think we need to be able to bring AI into highly complicated environments and make it work. What is my solution? At a very basic level, you need a symbolic space that guides the embedded space." ---- From "techniahqrobot" YouTube channel, (full video link in comment)

An internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science. We believe it will be a major step for scientific reasoning. https://openai.com/index/ten-advances-in-mathematics/

What happened when GPT 5.6 Terra and Luna were heavily discounted on OpenRouter? Token usage exploded by 13.8x Jevons Paradox = as technology makes the use of a resource more efficient, total consumption of that resource increases rather than decreases 🧵