Trung Phan recalls a DeepMind documentary showing Demis Hassabis's reaction when told AlphaFold could predict all known protein sequences, then its release. He quotes a Bloomberg report that Isomorphic Labs is in early talks to raise funds at a valuation of at least $40 billion.
Still incredible that the DeepMind documentary has footage of exact moment Demis is told that AlphaFold can “easily” predict all known (1-2B) protein sequences “in a month” and he says to do it.
Then, it shows the moment AlphaFold is released to the world.
Isomorphic Labs, an AI-powered drug discovery startup spun out of Alphabet’s Google DeepMind, is in early talks to raise new funds at a valuation of at least $40 billion, according to people familiar with the effort. bloomberg.com/news/articles/2026-10-08/alphabe…
NYU math professor Tristan Buckmaster says a Tuesday release of 722 AI-generated math papers from OpenAI wiped out entire research programs and damaged early-career mathematicians' careers. The claim is made in a video clip.
Anjney Midha announces hundreds of MI355x and B300 nodes are live on nationalcompute.com, subsidized for .edu and .gov users. The site describes a public-sector compute access program with a capacity tracker.
Claude announced that Claude Dashboards and Claude Motion are now in beta. Users can ask Claude to turn data into live dashboards and ideas into animated explainers.
OpenAI announced it is releasing a range of new mathematical results produced by an internal frontier model, consulting the Institute for Advanced Study's Advisory Group on Mathematics and Artificial Intelligence on how to release them, with materials published on GitHub.
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.
Tony Dinh comments that the new service supports image input, quoting an OpenAI Developers announcement of the Decisions API. The API lets apps choose models, tools or actions in near real time and is claimed to be up to 10x faster than GPT-6 Luna via the Responses API.
OpenAI released 722 mathematical manuscripts produced by an unreleased internal model, grouped into 372 families of results from about 4,000 research problems, averaging three hours of ChatGPT Pro compute per result. The author highlights claimed results including a zero-free half-plane for the zeta function and a quasi-Riemann hypothesis advance, which remain to be independently assessed.
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.
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