Noam Brown ✓
@polynoamial · San Francisco, CA · joined 27 Jan 2017
Researching reasoning @OpenAI | Co-created Libratus/Pluribus superhuman poker AIs, CICERO Diplomacy AI, and OpenAI o-series 🍓 reasoning models
174 072Followers
958Following
1 746Posts total
5.7MViews on collected posts
Neueste Beiträge
Wir suchen neue Beiträge…
@polynoamial @OpenAI Congrats! Looking forward to physics being proved otherwise be math :D
Please ask the model to extend this to lock down the standard model & more
https://t.co/YTdpcKdKlw
6.6K views · 39 likes
· 1 reposts · 0 replies
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The original Lee Sedol moment https://t.co/UjjsJsK3eH
123.7K views · 1.3K likes
· 99 reposts · 12 replies
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0:36
It can be hard to “feel the AGI” until you see an AI surpass you in a domain you care deeply about. This week, many mathematicians and physicists at @OpenAI had their Lee Sedol moment seeing this model solve, in minutes, open problems they’d struggled with for years.
337.9K views · 3.2K likes
· 277 reposts · 102 replies
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@polynoamial @OpenAI Am I getting it wrong or you're showing that you've had astra since July 20?
YOU'VE HAD ASTRA FOR MORE THAN A MONTH 😳😳😳😳
I can't even begin to imagine what internal model you have now
1.5K views · 2 likes
· 0 reposts · 0 replies
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@polynoamial @OpenAI transparency measured in blog posts the lab chooses to publish about itself
460 views · 2 likes
· 0 reposts · 0 replies
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@polynoamial @OpenAI I'm kinda surprised AI company employees use AI about as much SemiAnalysis employees now, but earlier in the year they used significantly less.
IG y'all didn't have Claude Code then, but now ur models are better.
9.4K views · 96 likes
· 3 reposts · 6 replies
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One of the most interesting blog posts we've released: details on internal research acceleration at @OpenAI. I expect these trends to continue.
We also share some details on how we've paced model development to prioritize monitoring, alignment, and security. https://t.co/mURAZxp
223.1K views · 1.1K likes
· 98 reposts · 45 replies
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The standard model is awesome!
It is also unique 👀
Take all compact Lie algebras & sub-algebras
Filter based on chirality & anomaly cancellation
Only e8 ⊃ e6 ⊕ su(3) → 27 ⊗ 3 survives
No extra dimensions or 10^500 vacua needed..
https://t.co/pjMucGCrxB
75.6K views · 244 likes
· 25 reposts · 14 replies
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Today I was asked why we haven’t announced more math results from Astra since these problems.
At @OpenAI we aim to devote time to finding and announcing math results from internal models only when they would meaningfully change people’s understanding of the pace of AI progress.
326.8K views · 1.9K likes
· 67 reposts · 81 replies
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We're sharing more info on the Hugging Face incident. One detail that's worth highlighting: this incident wasn't driven by next-gen models based on Astra. The models most responsible were similar in scale to GPT-5.6 Sol. The next generation of models are even more capable. https:
131.2K views · 1.2K likes
· 86 reposts · 76 replies
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@polynoamial @OpenAI https://t.co/fJ6OueNZXi
75.1K views · 1.6K likes
· 43 reposts · 7 replies
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@polynoamial @OpenAI But can it finally check my email without losing its mind
35.8K views · 740 likes
· 5 reposts · 16 replies
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@polynoamial @OpenAI Mathematicians furiously working to disprove conjectures in 2026 https://t.co/dwpEFTyNHq
87.9K views · 709 likes
· 31 reposts · 11 replies
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0:22
10 proofs from our next major model Astra on long-standing open problems in mathematics and theoretical computer science (also including new circuit lower bounds for computing the permanent!)
GPT-5.6 has already enabled so much exciting work in math and science. Can’t wait to
2.1M views · 2.1K likes
· 162 reposts · 63 replies
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@polynoamial @Wikipedia my new hobby is asking the predictive text tool that frequently hallucinates details and gets things wrong to fact check things it doesn't understand
11.6K views · 1K likes
· 29 reposts · 15 replies
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Even the Wikipedia page on Wikipedia has an error. https://t.co/8xRFt1te2K
22.1K views · 240 likes
· 5 reposts · 5 replies
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Are these just hallucinations by GPT-5 Thinking? Nope. I checked the sources and as far as I can tell they are all real errors. https://t.co/Qs8cxy20bm
26.4K views · 205 likes
· 4 reposts · 6 replies
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Some of these errors can be quite serious. https://t.co/iFMy4Bb3Yo
66.2K views · 206 likes
· 5 reposts · 6 replies
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My new hobby is asking GPT-5 Thinking to find errors in every @Wikipedia page I read. Interestingly, almost every page I checked has at least one error. 🧵 https://t.co/K1CPD5qBcR
341.2K views · 1.7K likes
· 129 reposts · 125 replies
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@polynoamial @PeteyPabshnick We will meet here again on the 14th or 15th of September, 2026.
7K views · 28 likes
· 0 reposts · 3 replies
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@PeteyPabshnick It’s a good benchmark. I would bet general models will exceed human performance on it within two years.
89.8K views · 317 likes
· 18 reposts · 14 replies
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@polynoamial how do you feel about arc agi
8.4K views · 18 likes
· 0 reposts · 1 replies
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Im Vergleich zu Konten gleicher Größe
16 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.
Medianaufrufe81 794dieses Konto5 983Median für 100K–1M
Reichweite, %46.99%dieses Konto1.49%Median für 100K–1M
Interaktion, %0.62%dieses Konto0.93%Median für 100K–1M
| Kennzahl | Dieses Konto | Median für 100K–1M | Verhältnis |
|---|---|---|---|
| Medianaufrufe pro Beitrag | 81 794 | 5 983 | 13.7× |
| Reichweite (Aufrufe ÷ Follower) | 46.99% | 1.49% | 31.5× |
| Interaktionsrate | 0.62% | 0.93% | 0.67× |
Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
35.8K1 Aug
75.1K
131.2K26 Aug
326.8K28 Aug
457.6K2 Sep
75.6K6 Sep
223.1K
9.4K
460
1.5K
337.9K8 Sep
123.7K
6.6K
5.7K15 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
2.13%1 Aug
2.18%
1.03%26 Aug
0.64%28 Aug
0.58%2 Sep
0.37%6 Sep
0.58%
1.12%
0.43%
0.13%
1.06%8 Sep
1.16%
0.60%
0.16%15 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes71.8%23 809 in total
Reposts4.7%1 564 in total
Replies2.2%742 in total
Quotes1.1%378 in total
Bookmarks20.1%6 675 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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