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

OpenAI’s math release is, in the words of Opus, “the single most consequential mathematical release ever” * LLMs have how made substantial progress on 4 of 7 Millenium Prize problems: Navier-Stokes (claimed), Riemann, Hodge and Birch-Swinnerton-Dyer. Poincaré was solved in 2003. The two left are P v NP and Yang Mills. *conditional on verification On average, each OpenAI result used only 3hrs of thinking compute on their new unreleased models. Two years ago, models said 9.11 > 9.9. Today, we have results that the smartest human minds have not been able to achieve in their entire lives. It is clear that data, compute and algorithms scale. Every model generation (3mos) has made substantial intelligence progress. It also becomes incredibly hard to not believe that all knowledge work will change monumentally over time. The things AI can not do in the foreseeable future are very likely context-bound (don’t have access to the right information) than intelligence bound. Some might argue they are also creativity-bound or judgement-bound (what should I work on), although it can be argued that future generations could solve for this (given, say, the advancement in research taste for models over time). AGI is defined as surpassing human capabilities on virtually all cognitive tasks. By most interpretations of that definition, we are there. The domains humans are still better than AI, such as, robotics / physical world control (data-bound?), natural science research (data-bound), some creative domains like writing, movies, music (creativity-bound), super long tasks (context-bound), choosing problems to solve (creativity-bound) and maybe human relationships management (meat-proxy bound?). In many ways, we have achieved AGI.

What’s happening in the AI-powered reverse engineering and decompilation is absolutely insane. Pretty soon all software will be de facto open-source. AI is coming for everything and everyone.

Your next meeting comes with a note-taker who can help with the follow-up. The Meetings plugin takes notes for you and saves a personalized summary and next steps in ChatGPT Space, based on what ChatGPT knows about you and the work you’ve done together. Keep notes private or share them with your team, then ask ChatGPT to update a project plan or draft a follow-up. Available in beta for Pro and Business users in the ChatGPT desktop app on macOS. Enterprise is coming soon. Download the desktop app, then search for “Meetings” in the plugin directory. chatgpt.com/download/

We just shipped in-app visualization capabilities in T3 Code. This enables agents to build cool dynamic experiences within the thread. Huge shoutout to @davis7 for pushing us on this (and building most of it). Didn't expect to dig it so much.

SpaceXAI is bringing Grok Bot to XChat on X

Now live: Create, send, and sign NDAs in Mercury. Onboarding a new contractor or vendor? Get their NDA signed and payments set up all in one place.

This is cool as hell

🚨 side project alert 🚨 Announcing Muse Gadgets, an open source ESP32 firmware and Linux sdk so that you can make hardware devices that work with Muse. Grab an API token from gadgets.muse.ai and point your favorite coding agent at the github repo to build your own peripherals for Muse.

T3 Code reached 400k users last night, that's cause for some celebration don't you think?

Sensei Pro & Rival Pro with 8K Ultra Wideband pre-order now: steelseri.es/nzm

The life of a Tesla owner with FSD.