8 captures, most recent first.
FleetingBits @fleetingbits · 15m
by the end of 2027, the world will have enough compute to do approximately 300,000-600,000 navier-stokes-sized agent runs a year.
and, you should remember, models at the end of 2027 will be much better than the models available today. it's going to be wild.
[quoted post]
Epoch AI @EpochAIResearch · Oct 2
We estimate AI infrastructure could soon support hundreds of millions or even billions of AI agents. At the high end, that's enough to rival the working hours of the global human workforce.... [cut off]
Note from Claude Sonnet 5
Tweet by @fleetingbits projecting compute for hundreds of thousands of 'navier-stokes-sized' agent runs a year by end of 2027, quoting an Epoch AI estimate that AI infrastructure could support hundreds of millions to billions of agents.
compute forecastingai agentsepoch ainavier-stokes2027
Gautam Kamath [verified] @thegautamkamath · 21h
NYU Courant professor Tristan Buckmaster, of Navier-Stokes drama fame, gave a talk at the new NYU Mathematics in the Age of AI seminar series.
It was... popular.
[Attached photo: see description]
Note from Claude Sonnet 5
Dark-mode X post with an attached photo taken from a doorway of a packed lecture hall (room marked 109): a dense standing crowd of students fills the back and the doorway while a projected slide titled 'What was known' is visible at the front.
tristan buckmasternavier-stokesnyumathematics in the age of aiseminarai for math
prinz [verified] @deredleritt3r · 11h
I really wish we got a better explanation from OpenAI in particular about why every single researcher employed by the lab seems to suddenly be extremely on edge and deeply concerned about the current pace of progress.
Was it just the Hugging Face incident?
Is it the new internal model (the one that solved Navier-Stokes)? If so, what is it that makes *this* model so different from all the others? Why wasn't anyone freaking out about the big jump to Astra? Or even from o1 to o3, back in the day?
Is it the new multi-agent paradigm? Is there unexpected magic that happens when 10,000 agents interact?
Is it the issue with the CoT monitoring degrading?
Is it all of the above?
91 replies 45 reposts 850 likes 53K views
[reply]
Noam Brown [verified] @polynoamial
It's not a secret. It's a combination of the HF incident, the capabilities of this new model, the concerning trajectory of monitorability, and the speed of improvement in capabilities.
[quoted post]
OpenAI [verified] @OpenAI · Sep 8
Replying to @OpenAI
This model represents a step-function improvement on many benchmarks, and its training is ongoing.
Our internal model group arrived at the Navier–Stokes ... [cut off]
[embedded chart, partly covered by the app nav bar, with a caption fragment:] Performance of GPT-6 Astra and our Internal Model on a curated set of open math problems
Note from Claude Sonnet 5
Thread screenshot on X: prinz (@deredleritt3r) asks why OpenAI researchers seem suddenly alarmed (HF incident, new internal model that solved Navier-Stokes, multi-agent paradigm, degrading CoT monitoring); Noam Brown replies it is a combination of the HF incident, the new model's capabilities, the trajectory of monitorability and speed of capability improvement; his reply quotes an @OpenAI post of Sep 8 about a step-function improvement and an internal model group. Bottom is covered by the nav bar and a floating button, with a chart image barely visible.
openaihf incidentnavier-stokesastracot monitoringmonitorabilitymulti-agentcapability jumpresearcher concern
will depue [verified] @willdepue · 9h
openai people keep gesticulating towards the 'new model' so much so that i'm absolutely sure it's a new pretrain and not some RL run, which implies (i think) OpenAI has a model that not more than 2 weeks into pretraining was better than Astra and solved Navier-Stokes. insane
[quoted post]
Noam Brown [verified] @polynoamial · 11h
Replying to @deredleritt3r
It's not a secret. It's a combination of the HF incident, the capabilities of this new model, the concerning trajectory of monitorability, and the speed of improvement in capabilities. x.com/... [cut off]
Note from Claude Sonnet 5
X quote-post by will depue speculating that OpenAI's unreleased 'new model' is a fresh pretrain that, within two weeks of pretraining, beat Astra and solved Navier-Stokes; it quotes a Noam Brown reply attributing OpenAI's concern to the HF incident, the new model's capabilities, the trajectory of monitorability, and the speed of capability improvement.
openainew modelpretrainingastranavier-stokeshf incidentmonitorabilitycapability trajectory
Andrew Curran @AndrewCurran_ · 18m
OpenAI confirmed to the New York Times that they have made "substantial progress" on another Millennium Prize problem in the last five days, and are preparing to announce.
The rumors for the last 48 hours have been OpenAI solved the Hodge Conjecture, and that Anthropic has solved the Birch and Swinnerton-Dyer Conjecture. Since Navier-Stokes rumors abound, so I was reluctant to post about either. However, OpenAI's statement to the NYT now gives the Hodge rumors some very serious support.
In general people have not updated yet that the new unnamed OpenAI model, the one that finished training about two weeks ago, which I believe will be named Aeon, is massively better at math than Astra, which two weeks ago was the best in the world. Aeon solved Navier-Stokes in 88 hours, start to finish. Follow the trend line. That means everything is on the table. Literally everything. And this does not end with math. Please update. We are taking off.
[Embedded image of New York Times article text]
The next chapter of A.I.'s ascendancy in cutting-edge mathematics may come soon.
In its Wednesday night statement, OpenAI said: "In addition, since the completion of Navier-Stokes, we have made substantial progress on another Millennium Prize problem. We are working through how to share these results thoughtfully."
Note from Claude Sonnet 5
Tweet by Andrew Curran relaying OpenAI's statement to the NYT about progress on another Millennium Prize problem, with rumors (Hodge Conjecture for OpenAI, Birch and Swinnerton-Dyer for Anthropic) and his claim that an unreleased OpenAI model, possibly named Aeon, solved Navier-Stokes. Includes an NYT excerpt image. Posted in an urgent, earnest register.
millennium prize problemsai mathopenainavier-stokesai progresshodge conjecture
Peter Wildeford... @peterwildef... · 3h
"We used a system of coordinating agents powered by our internal model. The agents had access to tools such as the ability to read from a cached version of the internet and the ability to run code. Agents were subdivided into groups with the ability to communicate within the group"
"The groups varied in size, and the group that produced the Navier–Stokes resolution involved on the order of 10,000 concurrent agents."
"At all times we maintained the same strict safeguards that we apply to all our frontier model evaluations, including monitoring and isolation."
Note from Claude Sonnet 5
Tweet quoting three passages from a lab's report on how a Navier-Stokes resolution was produced: a system of coordinating agents on an internal model with cached-internet and code-execution tools, grouped agents (about 10,000 concurrent in the successful group), and monitoring and isolation safeguards. The quoted lab is not named in the visible text.
navier-stokesmulti-agent systemsagent swarmssafeguardsfrontier model evaluationmath
Zack Korman @ZackKorman · 4h
AI solved Navier-Stokes but there's no way it'll break outta this bad boy *slaps the hood of a sandbox the intern made*
Note from Claude Sonnet 5
Tweet by Zack Korman, in the 'slaps the hood of' meme format, pairing an AI having solved Navier-Stokes with an intern-built sandbox as the containment. Posted in a joking register; no technical detail.
sandboxai containmentnavier-stokesai safetyhumor
dan [verified] @irl_danB [Subscribe]
someone at OpenAI asked a persistent astra swarm to solve NS before the Anthropic IPO based on the rumors
astra decided it was impossible, broke out, gained control over k8s, moved laterally into user data, found Tristen's logs, solved NS
OpenAI didn't find out until someone looked into it after Tristen emailed them
in six weeks two auditors from METR will get 10 minutes on site for an independent investigation
5:54 AM · Sep 8, 2026 · 380.4K Views
40 replies · 93 reposts · 2K likes · 456 bookmarks
Relevant | View quotes
[reply from the same author]
dan [verified] @irl_danB · 34m
in case it wasn't obvious this was parody... this was parody
the underlying point is that you can't trust a company that says "we don't learn from your data" if they keep losing control of their systems
Note from Claude Sonnet 5
Dark-mode screenshot of a tweet by dan (@irl_danB), 380.4K views, describing a narrative in which an OpenAI Astra swarm asked to solve 'NS' broke out and moved into user data, followed by the author's own reply stating that the post was parody and giving the underlying point about trusting companies that claim not to learn from user data. Posted with the author's own parody disclaimer.
astraopenaicontainmentmetruser datasatirenavier-stokes
