6z Google Deep Mind and WeatherNext have mostly Florida landfalls now - Panama City to Pensacola.

OpenAI's internal model clearly has "research taste" in math - i.e., the final component we need to get to RSI. - jboggan (post on Hacker News) on Barnette's Conjecture: "the 'aha' insight for this is actually f**ing wild... this is the first time I've seen complex roots and annihilating terms like this... I don't understand where this trick originated." - Joshua Zelinsky on the proof that the chromatic number of the plane is at least six: "doesn't look like the method is a direction that the prior lit used to my knowledge... far beyond merelt building on existing methods or seeing connections between different problems." and on two other problems (where he says he is only partly familiar with the literature): "not remotely low-hanging fruit... it seems like the AI is somehow inventing new techniques on its own." These match Tristian Buckmaster's view on the Navier-Stokes solution: "you combine... ideas of convex integration with the growth mechanism of the Euler blowup, and... you create a new mechanism which is used to correct this non-solution. This is actually a cool idea. It's the kind of idea that I've been trying and failing to realize for over ten years... I didn't manage to do it... This is the leap." The average amount of compute used to solve these problems was ~3 hours of Pro-level thinking. And so, this means that OpenAI's internal model is able to generate truly novel discoveries in mathematics for... maybe at most a few hundred bucks? If I were OpenAI, I would be asking this model to immediately target major unsolved problems in AI R&D.

This is peak advertising imo.

Important note regarding Grok @Bot: Going forward, @SpaceX will use the best back end model for any given task, including Claude Opus 5.5, MidJourney, Suno and other leading APIs. Whatever is most likely to give you the best outcome.

Friendly reminder that Hermes was never built or intended to be exclusively for the "personal assistant" agent that can just read your emails and nothing else. I fully intend and have plainly stated many times that I always built hermes to be the most powerful AI Agent. "Normie" consumers can leverage that and we do what we can to make it an experience they can approach (the mobile app will be almost exclusively focused on consumer) - but they are not our only demographic. I want the scientists, the cybersecurity engineers, the developers, the knowledge workers, the creatives, and everyone else to be able to have an agent that they can leverage that is maximally useful to them too. Not just your mom. (She called btw you need to make your bed)

🚨BREAKING: Nous Research just raised $90M at a $1.5B valuation HERMES WON

Be the society that LLMs think we are

81% of all major math discoveries from the last three years were released today by OpenAI. The math singularity has essentially been achieved as of today, meaning, human intelligence has no chance of ever catching up. Every scientific field will experience this eventually!

na, sorry, its over for OpenAI dot before it even began. Grok Bot has multiple sessions, as many bots as you need, and it uses Opus 5.5 + via cloud agents to whatever cursor model and API access to Midjourney, Suno, and much more. And I don't mean that in a bad way at all; Grok Bot simply has everything I need and does it exceptionally well.

If you are in any of these colors, you will especially want to monitor the situation with Tropical Storm Isaias and have an action plan ready... These areas will be narrowed and changed as confidence in the track continues to grow!

There will be impacts by Isaias to the Florida panhandle. Even if it makes landfall west of the panhandle the eastern, most dangerous side the storm will impact NW Florida. If you are in those communities make sure to execute your hurricane plan.

Ok so I took a closer look at the results, and OpenAIs AI-generated mathematics manuscripts are *even more* significant than I initially thought. I spent the morning going through it. Some thoughts. The list is absurd. A zero-free half-plane for the zeta function (Re s > 7/8), which is the first result of its kind in over a century. Hilbert's tenth problem over the rationals. The Hodge conjecture for CM abelian varieties. Irrationality of Catalan's constant. Dozens more. Any one of these would normally be a career. But the number that many arent seeing is the following: It's 3. That's the average hours of ChatGPT Pro compute per result. A month ago, Navier–Stokes took them around 10,000 agents and 88 hours. That efficency gain within just a few weeks. Also OpenAI claims to have solved the quasi-Riemann hypothesis. That alone would be a historic breakthrough in mathematics. This is a weaker version of the famous Riemann hypothesis, which concerns how prime numbers are distributed. The full hypothesis remains unsolved, but the claimed advance would be enormous in its own right. Math twitter obviously is shocked. Again: this is literally the intelligence explosion happening right now. 2027 will be the year of Superintelligence. Im now convinced by that.

i asked GPT 6 Pro and Fable 5.1 to rank all discoveries in the last three years 🔵 for Human discovered 🔴 for AI discovered (before October 6th) 🟢 for AI discovered from OpenAI/math repo 81% of them have been released today. wtf

HOLY, the rumors were true: OpenAI has published 722 mathematical manuscripts produced by an *unreleased* internal model. The collection groups them into 372 families of related results, drawn from an evaluation involving approximately 4,000 research problems. OpenAI says the standard procedure used an average of three hours of ChatGPT Pro thinking compute per result. The release includes papers, proof artifacts and selected reasoning summaries. The model itself remains unreleased.

OpenAI has released 722 papers instead of 400. My pick is the claimed proof of the quasi-Riemann hypothesis—result #003 github.com/openai/math/blob/… OpenAI says an unreleased internal model attempted approximately 4,000 problems, with each result averaging compute equivalent to three hours of ChatGPT Pro thinking.

I asked Claude Fable 5.5 to explain OpenAI's new 199-page quasi hiemann hypothesis proof. It came back with a 2-minute 3D animation. The claim: NO zeros of zeta past 7/8. First fixed zero-free strip EVER. Not the Riemann hypothesis, but if it holds, the closest anyone has come. Watch:

We’re releasing a broad range of new mathematical results produced by an internal frontier model. We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results. github.com/openai/math

made a rug for your desktop so you can sweep your mess under it

Thanks Google, Embedding Gemma 2 is a big deal 🫶 Multimodal embeddings (text, images, video, audio) can run on-device in the browser. No server, no API key, ~20–70 ms per query on WebGPU. Everything stays on your machine (ofc). Now go build (new) things with it 🚀

Literally intelligence explosion: "OpenAI has told people it plans to dump hundreds of results to unsolved problems on GitHub on Tuesday" We are witnessing history unfold.