Cody Johnson retweeted
Robert and I are thrilled that our gift of over 2 million shares of SpaceX stock will be distributed to children’s Trump accounts in December!
Our initial gift (shares transferring to escrow as we speak) will go to 11 to 17-year-olds who live in zip codes with median family income (MFI) of $57,000 or less, and to those who live in zip codes with too few residents for an MFI to be reported in the census. These families should receive a notice by Monday.
In a few weeks, an additional gift will be finalized for eligible 11 to 17-year-old children in military families serving overseas, children in foster care, and more children whose MFI is $90,000 or less living in counties near our home in the great state of Texas.
Thank you to the incredible team @SpaceX, @Treasury, @IRS, @DellFdn, @GreaterHorizons, @InvestAmerica24, and the legal firms of Morgan Lewis and Gibson Dunn for working over the past few months to make this happen.
We are deeply grateful for the groundbreaking work that Brad Gerstner @altcap and @MichaelDell have done for the long-term financial security for millions of kids.
God Bless America!
Cody Johnson retweeted
I've posted some slides on my website outlining OpenAI's approach to disproving the exponential time hypothesis: msellke.com/Files/ETH-False-…
The outline skips some steps, so it gains a smaller power of log(n) in the exponent than the fully optimized algorithm.
Cody Johnson retweeted
We are announcing three new discoveries in mathematics, computer science, and physics about harmonic analysis, complexity theory, and quantum field theory.
openai.com/index/building-sc…
Cody Johnson retweeted
Everyone is talking about agent swarms, usually in the context of bad stuff like hacking. But if you ever wanted to watch an agent swarm in action (this time working for good), the discussion board of the Integer Multiplication open research repo is really cool to watch
Cody Johnson retweeted
in 2026, your ability to read code matters
but your ability to decide what code should exist matters way more
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
Cody Johnson retweeted
SpaceXAI has just introduced Grok @Bot Creator Rewards!
Rewards will go out every two weeks. Rewards are based on usage:
• How many people use your Bots. Are your Bots useful and popular?
• How often your Bots are used. Are your Bots providing consistent value over time?
For your templates to be eligible for rewards, you must:
• Post about your public Bots (and specifically link to them) on X ≥ 2x per pay period
• Have X Money set up
• Payouts will be sent as part of X’s Original Content Rewards for now.
In the last two weeks, I’ve earned $500 in rewards due to people using my Home Robots template 🔥
More info: legal.x.com/en/grok-bot-temp…
Cody Johnson retweeted
636606729769440499166579950236036751749912014371509557713570027508971809534551913252252094954941974952859310861988904737359709200557919
is a factor of RSA-896
saweis.net/posts/rsa-896.htm…
Cody Johnson retweeted
Congratulations to all the Fields medalists who successfully shut down an undergrad coding workshop.
We recognize that the rapid progress of AI in mathematics is disruptive. We're looking to engage with the math community more on the best way to integrate this technology and communicate its impacts. After considering concerns raised by members of the mathematics community, we’ve decided to withdraw OpenAI’s sponsorship of the Caltech Mathathon and have notified the organizers.
Cody Johnson retweeted
Last week we published a factorization of RSA-260.
Today, we’re sharing the methodology of how Devin and a Cognition researcher built the world’s fastest GPU optimized lattice siever, to make factoring numbers 10x cheaper than the previous state of the art:
cognition.com/blog/factoring…
Cody Johnson retweeted
Checking that a major mathematical proof is correct can take years. Formalization—converting the mathematical reasoning into a form computer proof assistants like Lean can verify—can help.
Last month, Claude completed the first formalized proof of Fermat’s Last Theorem, one of the most famous theorems of all time. This was a project experts thought would take many years. It is the largest Lean proof ever written.
Fermat’s Last Theorem was first proven in 1995 by Sir Andrew Wiles, more than 350 years after it was conjectured. Our proof, which totals over 13 million lines of code, provides machine verification. More importantly, it proves over 29,000 other theorems that the proof requires, across many areas of math which had never before been formalized.
We see this as a major step in the long process of firming up the core of mathematical knowledge, building on work from three centuries of mathematicians and hundreds of contributors to Lean and Mathlib. We are optimistic that AI-assisted verification of mathematical proofs will help reduce the burden of refereeing mathematics in an era where more proofs are being produced than ever before.
You can read about the process on our Science Blog: anthropic.com/research/forma…
And see the complete proof on GitHub: github.com/anthropics/fermat…
Cody Johnson retweeted
Anthropic recently proved Kozma–Nitzan's Conjecture 3, which implies the long-standing θ(p_c) = 0 conjecture.
Kozma-Nitzan paper: arxiv.org/abs/2401.12397
Anthropic's Lean proof: github.com/anthropics/formal…
Cody Johnson retweeted
Please welcome to the world a beautiful new geometric object, to do with a problem i’ve always loved. claude really contains multitudes:D Does S^6 admit a complex structure?
Yup
Cody Johnson retweeted
We applied AlphaEvolve's autoresearch powers to an ML pipeline tackling one of the most famous problems in CS: time complexity of matrix multiplication (ω). We improved the SOTA! A small step for ω (similar to recent works), but a nice milestone for AI arxiv.org/abs/2608.16884v1
Cody Johnson retweeted
Cursor is now part of @SpaceX.
Today, we have officially closed our acquisition. We will join the @spacexai team to help make Grok the world's most useful AI and improve Grok Build, Grok Bot, Grok API, Cursor, and more.
SpaceX has built some of the most inspiring and impressive technology in the world, and we’re grateful for the opportunity to become part of such a special company. Onwards.
Cody Johnson retweeted
We asked an unreleased research version of Claude to take a stab at the Riemann hypothesis.
It didn’t solve it, but it did make strides on a related problem: it increased the lower bound for the fraction of zeros of the Riemann zeta function that satisfy the hypothesis from 41.6% to 67.2%.
anthropic.com/research/riema…
Cody Johnson retweeted
1/5 Oh wow. GPT-5.6-Sol seems to be on a whole other level. In just three weeks, it seems to have made nontrivial progress on 10+ problems in social choice. Exciting! (But I'm still processing what the existence of such a model means for research.) A snapshot:
Cody Johnson retweeted
IMO, the next steps are:
Within 1 year: strictly better than human AI in all problem-solving aspects of math.
Within 2 years: producing mathematics becomes so cheap, AI will produce mathematical theories for all kinds of applied domains on the fly at need.
Mathematics becomes the true infrastructure of all of engineering and applied sciences (including AI, biology, optimization, cybersecurity, etc) where approaching things theoretically was too expensive to be practical.
some thoughts on ai and math
1) a new openai model has solved 10 important problems in mathematics; and, the cost of solving them would be ~$2,000 at current api prices
2) on the one hand, this is important, it shows that models are continuing to advance in mathematical capabilities at an extreme pace
3) on the other hand, this feels to me to have been basically priced in, anyone who has following ai math developments should have known this was coming
4) the reason is that once we understood how effective reinforcement learning with verifiable rewards was, it was pretty obvious you could hillclimb math
5) and, at that point, it was basically just the cost of compute for training and figuring out how to get harder problems that were still relevant to capabilities
6) but even that felt like something you should basically be able to solve synthetically; so once again, the question was just, are you willing to pay the compute
7) and, there are just not that many research mathematicians and the skill to be one is fairly rare in humanity, so this also makes the domain easier
8) anyway, the real question is what you can unlock with greater frontier mathematical skills; i would like to see people's thoughts here
9) cryptography is one very promising avenue, obviously applied math ideas for linear algebra, theories of neural networks maybe, maybe simulation, etc...
10) i'm interested in @ChrSzegedy's idea that llms will be able to develop a wide range of applied mathematical theories across tons of domains
11) i would be curious to see what this looks like or whether anyone has proposed research directions; what should we be pointing these models at?
12) also, separate from the frontier, there will be gains in just applying decent graduate level math to all the problems in the world, which are already solved
13) but, for which the expertise was not available, because it was a less valuable domain and a robust understanding of statistics, etc... was scarce
14) there should be some interesting startups here; where people can begin to take lower value domains or smaller sites and apply math cheaply to them
15) i think though that otherwise i'm sort of bored with mathematical announcements; like they are cool but i want to see the transformation of the world
16) let's see what the rest of the year has to offer and let's see how the labs begin to cross into domains with real world loops (like chemistry, biology, etc...)
Cody Johnson retweeted
yes, nonsofic groups exist: this statement is one of many new beautiful results proved by Astra, our next major model.
We're releasing 10 such Astra proofs, complete with lean certificates and CoT walkthroughs for each of them. The results are wide-ranging, from von Neumann algebras (disproof of Connes' Rigidity Conjecture) to better bounds for high dimensional sphere packing, for circuit complexity, for monochromatic triangles in multicolored graphs, and more.
More thoughts here: openai.com/index/ten-advance…


























