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.

This is Sam Altman at 25 years old, pitching Loopt to a person in a diner It’s strange to watch now because he runs one of the most influential companies in the world The app was a location-sharing app but nobody thinks about it when they think of Sam It got me wondering how many founders are probably in their Loopt era rn? The company they’re working on may not be the one they become known for It might just be the company that teaches them how to sell, hire, raise money, and keep going long enough to find "it" But at the time, it looks like a kid trying to explain a weird location app to a stranger over lunch

Cybercab door closes, and the chaos outside becomes irrelevant. You’re sitting in the front row of a concert hall, watching Keith Jarrett play. Exquisite.

meanwhile.

I don't think I've ever seen a scene of dialogue as captivating as this one in Oppenheimer. The acting from Murphy and Damon is stratospheric.

People clowning on him don’t understand what he’s saying. All the wealth of humanity to date supports perhaps 250k living math phds. Roughly the population of St. Louis, Missouri. The training pipeline for that group has been irreparably shattered in the last month. A phd is supposed to make an original contribution to their field to graduate. That’s just…. not possible anymore. 938 years after the founding of the first university in Bologna… Do universities now reward… teaching ? comprehension of something discovered by a machine? application ? do mathematicians become quotidian (gasp of disgust) engineers? Tao is upset because he knows none of those outside the field care about its future. He is a horrified gardener watching humanity gorge on its seed corn. It is irreparable of course. The old way is dead dead. We live in the short interregnum before the new king is born: a Lean crawler that spawns a billion copies exploring every corner of math latenspace. So much math to understand that even if 8 billion humans had the ability of the 250k mathematicians alive today, it would still take a million years to comprehend. It is ironic and sad.. because Tao himself is a pioneer of collaborative math: math that is understood by a combination of minds rather than an pindividual. The tools that Tao began exploring a few years ago, solving problems through blog posts and using Lean to guarantee each mind’s contribution stood on its own when assembled into the greater truth, have been turned against him. Math’s path to utilize multiple minds didn’t restrict access to human minds, and now the machines have blitzkrieged themselves into the heart of the matter. The agents use rudimentary message boards, working 10,000 to a task, tirelessly, using Lean to verify the correctness of each contribution. It was good while it lasted… and now it’s gone.

It was great to welcome @AlboMP to Apple Park this morning to talk about the incredible work of our teams and our longstanding commitment to Australia. I was grateful to share some of our newest innovations, including strong and intuitive controls to help keep kids safe online.

wrote out a list of who I’m looking for. X, work your magic. non negotiable - 35 to 42 y/o - healthy masculine - smart, funny, lighthearted - provider/protector mentality - post economic (still hardworking) - must be kind, generous, thoughtful - no kids yet, decidedly wants kids - on the healing path (history of serious commitment ex therapists, books, retreats) - can meet anywhere but will not date unless live in the same city - fit and sober because you care about your health strongly preferred - no prev marriages or engagements - works in tech (comfortable with risk and career is blended into personal life)

There are two ways AI progress could go very badly and that we must avoid. First, we could lose control of the future to AI. This is unacceptable; we are unapologetically on Team Humanity, and AI must always serve people. To ensure that, we need ways to ensure that alignment and safety techniques stay ahead of progress in model capabilities. Second, we could end up in a world with too much concentration of power. If an extraordinarily powerful AI is used by one person or company to impress their worldview onto everyone else, the results could be extremely dystopian. Avoiding these two threats requires walking a narrow middle path; for example, one country could gain too much power. Another example is one lab ending up with too much power.

go fuck yourself @sama claiming that you solved navier stokes because 10000 agents ran in circles for 88hours on a multimillion dollar gpu cluster to formalize in lean a blowup case under controlled external forcing is pure scientific vulgarity the clay mathematics institute millennium prize does not ask m whether you can artificially force a singularity in a fluid by injecting an ad hoc smooth external forcing term f(x,t) to twist the vortex until it breaks the real problem questions the fundamental stability and global smooth existence for 3dimensional incompressible euler & navier stokes equations under natural conservation laws and viscous dissipation alone using a mathematical loophole on forced equations to parade a century old victory is a major conceptual scam Altman technically & epistemologically what you present as an agi breakthrough is nothing more than bruteforce combinatorial autoformalization the ai did not understand fluid mechanics it simply navigated a continuous search space previously mapped out and constrained by the monumental work of human mathematicians like tristan buckmaster/ levent alpöge / diego córdoba or tarek elgindi coordinating 10000 agents to check the logical consistency of a 100 page proof via lean is a software engineering feat and computational parallelization triumph not an intrinsic scientific discovery it is the victory of the compute bulldozer over abstract human intuition repackaged for the public as a higher mathematical consciousness to this theoretical imposture you add a disgusting ethical and industrial cynicism taking advantage of private codex sessions and informal preprints from academic researchers to siphon their research leads and then trying to redact or erase the contribution of levent alpöge under the pretext that he works at rival anthropic is intellectual serfdom openai behaves like a feudal lord of silicon appropriating the cognitive subsistence of independent scholars threatening their careers behind closed doors if they protest and turning community academic labor into a privatized pressrelease this entire staged event serves a desperate financial agenda in a pre ipo panic facing the slowdown of scaling laws and growing investor skepticism over the profitability of foundational models openai needs to manufacture an artificial sputnik moment claiming to solve a millennium prize without immediately submitting the proof to traditional peer review means using the prestige of fundamental mathematics as cheap marketing fuel to inflate a delusional valuation!!! real science is not a clout chase on social media or a compute spike spent to rob the clay mathematics institute it is a quest for elegance physical truth and universal rigor to decode reality true artificial intelligence will not emerge from hostile corporate takeover of academic work hidden behind computational bruteforce but from architectures capable of generating new conceptual paradigms by masquerading constrained formalization as the collapse of physics greatest mysteries you did not solve navier stokes you only proved how far silicon valley will go to prostitute scientific integrity for capitalist spectacle

Let's fix 3 logos. Which fix do you like best? Switch 2, U-Haul or Jet Financial?

Sam!! I guess even a blind squirrel can find a nut sometimes, congrats

Omg how did I just learn about this term?

alexandra ocasio cortez embodies the american zeitgeist more vividly than almost any politician. she effectively represents america’s educated, urban, millennial condition which is enormous agency (romantic uncertainty + delaying family, etc) paired with profound uncertainty about what life is actually for.

Introducing Grok Bot, now in early beta. Bots are AI teammates that do real work for you. They sign in to your tools, use them just like you do, and come back with finished work.