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Stanislav Fort

@stanislavfort · Prague · joined 15 May 2009

Founder & Chief Scientist @Aisle_Inc | AI security | Stanford PhD in AI & Cambridge physics | ex-Anthropic and DeepMind | scientific progress + economic growth

17 107Followers
8 673Following
2 801Posts total
10.5MViews on collected posts

Against accounts of the same size

11 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views10 896this account1 266median for 10K–100K
Reach, %63.69%this account3.99%median for 10K–100K
Engagement, %0.50%this account1.98%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post10 8961 2668.61×
Reach (views ÷ followers)63.69%3.99%16.0×
Engagement rate0.50%1.98%0.25×

Others in this range →   Compare with another account →   How these benchmarks are built →

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

113.6K17 Jun
825
60118 Jun
62524 Jun
9.4K7 Aug
10.3M10 Aug
57.7K
15.6K11 Aug
10.9K
33K2 Sep
1.9K3 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.29%17 Jun
0.36%
0.50%18 Jun
0.80%24 Jun
1.20%7 Aug
0.22%10 Aug
0.37%
0.47%11 Aug
0.61%
1.09%2 Sep
0.70%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.98%.

What the audience does

Likes80.0%19 332 in total
Reposts8.7%2 093 in total
Replies4.2%1 022 in total
Quotes5.6%1 349 in total
Bookmarks1.6%377 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

5 Sep

Daily snapshots since 05 Sep 2026; the dashed line is the starting count.

Latest posts

A detail I left out yesterday: AISLE had already discovered 11 novel curl CVEs before this 6-0 result. 1 had even survived in curl for 25 years, making it the oldest security issue ever reported in the project Yesterday's 6 bring the total to 17 CVEs in curl discovered by AISLE 1.9K views · 11 likes · 1 reposts · 1 replies 03 Sep 2026 OpenAI's Codex Security and Anthropic's Mythos both reported 0 remaining security issues in curl AISLE then discovered 6 new zero-days that curl's security team validated & has now assigned CVEs to 6-to-0 on one of the world’s most hardened codebases: https://t.co/MEmaKOatT 33K views · 307 likes · 29 reposts · 19 replies 02 Sep 2026 I think we moved the bound again on the 17 squares problem Before: 4.445208... -> 4.450837 Now: 4.450837 -> 4.456575 Certificate, 21.7M nodes, checked by exact integer verifiers+CI, but all AI, so double check pls Current bound: s(17) > 4.456575 Repo: https://t.co/BX 10.9K views · 62 likes · 2 reposts · 2 replies 11 Aug 2026 https://t.co/sdRxjVLmeM ChatGPT thinks it improved the lower bound on packing 17 unit squares in a square from 4.445 to 4.508. There's certificates and a paper for whoever wants it. He wrote 3 separate certificate checkers, 2 in C++ and one in Python, just to be triply sure. 15.6K views · 63 likes · 3 reposts · 5 replies 11 Aug 2026 I'm a huge amateur here, so probably totally wrong: the 67.2% is a statement about the density of the asymptotic proportion of 0s but it places ±no constraint on where the remaining 1/3 could be, right? so not directly useful for solving the RH? 57.7K views · 183 likes · 2 reposts · 28 replies 10 Aug 2026 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 10.3M views · 18.3K likes · 2K reposts · 936 replies 10 Aug 2026 I've been discussing the progress AI is making in pure math with a lot of people recently & one thing is stands out: the math that is being solved is precisely the math that doesn't help me with solving my problems at all. I typically learn new math to unlock solutions to n 9.4K views · 89 likes · 8 reposts · 15 replies 07 Aug 2026 @stanislavfort Propietary software, unverified claims, basically mythos barrel scraping: open source must win. 625 views · 4 likes · 0 reposts · 1 replies 24 Jun 2026 @stanislavfort I think mythos can be easily surpassed if a specialized model was built from the ground up for cyber security 601 views · 3 likes · 0 reposts · 0 replies 18 Jun 2026 @stanislavfort interesting 825 views · 3 likes · 0 reposts · 0 replies 17 Jun 2026 We matched Mythos on public zero-days with CVEs using widely available & open-source derived models & can run it air-gapped if needed. All this with a small team out of Europe Berkeley study ranks us #1 globally in 3 of 8 categories The full evidence: https://t.co/NGVaW 113.6K views · 264 likes · 36 reposts · 15 replies 17 Jun 2026

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