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

244.1KViews on collected posts

Postingan terbaru

Stanislav Fort ✓@stanislavfort3 Sep

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 Open on X →

Stanislav Fort ✓@stanislavfort2 Sep

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/MEmaKOatT2 ht 33K views · 307 likes · 29 reposts · 19 replies Open on X →

Stanislav Fort ✓@stanislavfort11 Aug

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/BXbYZnRNs1 10.9K views · 62 likes · 2 reposts · 2 replies Open on X →

Stanislav Fort ✓@stanislavfort11 Aug

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 Open on X →

Stanislav Fort ✓@stanislavfort10 Aug

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 Open on X →

Stanislav Fort ✓@stanislavfort7 Aug

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 new 9.4K views · 89 likes · 8 reposts · 15 replies Open on X →

Stanislav Fort ✓@stanislavfort24 Jun

@stanislavfort Propietary software, unverified claims, basically mythos barrel scraping: open source must win. 625 views · 4 likes · 0 reposts · 1 replies Open on X →

Stanislav Fort ✓@stanislavfort18 Jun

@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 Open on X →

Stanislav Fort ✓@stanislavfort17 Jun

@stanislavfort interesting 825 views · 3 likes · 0 reposts · 0 replies Open on X →

Stanislav Fort ✓@stanislavfort17 Jun

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/NGVaWxFneq ht 113.6K views · 264 likes · 36 reposts · 15 replies Open on X →

Dibandingkan akun berukuran sama

2 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan17 408akun ini924median untuk 10K–100K

Jangkauan, %101.76%akun ini3.62%median untuk 10K–100K

Interaksi, %0.90%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	17 408	924	18.8×
Jangkauan (tayangan ÷ pengikut)	101.76%	3.62%	28.1×
Tingkat interaksi	0.90%	1.52%	0.59×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

57.7K10 Aug

15.6K11 Aug

10.9K

33K2 Sep

1.9K3 Sep

Last 10 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

0.37%10 Aug

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 1.52%.

What the audience does

Likes63.7%989 in total

Reposts5.2%81 in total

Replies5.5%86 in total

Quotes1.2%19 in total

Bookmarks24.3%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.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Akun serupa

Frequently asked questions about @stanislavfort

How many followers does @stanislavfort have?

17 107 followers.

How many posts has @stanislavfort published?

2 801 posts.

How do posts by @stanislavfort perform?

Collected posts: 10. Views: 244 063. Likes: 989.