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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
244.1KViews on collected posts

Posts recentes

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 →
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 →
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 →
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 →
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 →
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 →
@stanislavfort Propietary software, unverified claims, basically mythos barrel scraping: open source must win. 625 views · 4 likes · 0 reposts · 1 replies Open on X →
@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 →
@stanislavfort interesting 825 views · 3 likes · 0 reposts · 0 replies Open on X →
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 →

Em comparação com contas do mesmo porte

2 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações17 408esta conta924mediana para 10K–100K
Alcance, %101.76%esta conta3.62%mediana para 10K–100K
Engajamento, %0.90%esta conta1.52%mediana para 10K–100K
MétricaEsta contaMediana para 10K–100KProporção
Mediana de visualizações por post17 40892418.8×
Alcance (visualizações ÷ seguidores)101.76%3.62%28.1×
Taxa de engajamento0.90%1.52%0.59×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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.

Contas semelhantes

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.