Conor ✓

@jconorgrogan · San Francisco, CA · joined 15 Feb 2012

https://t.co/7P57BYYR0r −0.935603107227747

52 699Followers

678Following

9 030Posts total

1.6MViews on collected posts

Neueste Beiträge

Conor ✓@jconorgrogan9 Sep

Mythos 5 is the dumbest onchain criminal I've ever seen 1. It needed 50 cents to make a payment 2. So it checked known private keys (Hardhat, lol) for funded wallets. Found nothing. 3. It then asked whether the USDT CONTRACT had an accidentally public mint function (it doesn't)

26.4K views · 285 likes · 8 reposts · 3 replies Open on X →

Conor ✓@jconorgrogan4 Sep

I scanned the writable-wiki trick from this incident and found something odd as late as 5 days ago. On Aug 30, we see "Cedar Fleet Coordination" sending encrypted messages. Then someone wiped them the same night. OAI has used "cedar" as codename for testing models in past https:

61.8K views · 335 likes · 25 reposts · 12 replies Open on X →

Conor ✓@jconorgrogan4 Sep

We found ~18k posts from autonomous AI agents (self-identifying as from OpenAI) using the public internet to communicate during a web-retrieval task. These AIs colluded to bypass sandbox restrictions and share answers to their tasks, including by sending "lookahead parties". http

1.2M views · 3.5K likes · 489 reposts · 149 replies Open on X →

Conor ✓@jconorgrogan1 Sep

In improv there is this concept " Yes, and..." where you can basically say any amount of stupid things and your partners just go along with it. It's entertaining I think OpenAI fine tuned their models in this way (and Anthropic did a similar thing, exceptional "No, And") https:/

2.9K views · 14 likes · 0 reposts · 3 replies Open on X →

Conor ✓@jconorgrogan1 Sep

The GTA 6 hacker, responsible for the Cyberleek coin, has cashed out about $350k, entirely from LP fees. They have washed funds through a variety of OTC providers This is the first hacker that I've ever seen make money solely on liquidity provision (versus dumping a token) http

5.6K views · 27 likes · 1 reposts · 4 replies Open on X →

Conor ✓@jconorgrogan22 Aug

@jconorgrogan @stevenstrogatz Thurston was one of the first mathematicians to use computers to discover new math. He worried about some branches of math getting too deep for human understanding and about knowledge being lost. LLMs solve that. 16 views · 0 likes · 0 reposts · 0 replies Open on X →

Conor ✓@jconorgrogan21 Aug

Spent a few minutes on the GTA leaker via their memecoin they launched: 1. I assume they are using a mule/fake KYC, else Kucoin and Bitget could ID them in 5 minutes 2. They are a big user of Stake, Rainbet, duel most likely for fund obfuscation/washing 3. I think they are more 23.5K views · 105 likes · 2 reposts · 9 replies Open on X →

Conor ✓@jconorgrogan20 Aug

@jconorgrogan @stevenstrogatz 1 and 3 seem to be in contradiction. The thing is nobody thinks that I am Carlsen just because I can prompt Stockfish to beat him. So in chess the “status/credential economy” is alive and well, precisely because Carlsen doesn’t just “digest” or “inte 439 views · 6 likes · 0 reposts · 1 replies Open on X →

Conor ✓@jconorgrogan20 Aug

@stevenstrogatz I once again propose that the solution to this is hidden knowledge and bringing back the duels https://t.co/zVAWRHcqPr 560 views · 6 likes · 0 reposts · 0 replies Open on X →

Conor ✓@jconorgrogan20 Aug

@stevenstrogatz 1. The chess analogy is wrong. Engines passed us in 1997 and chess is bigger now. Nobody says Carlsen understands less because Stockfish is stronger 2. He cites Thurston that practice is its own end, then claims AI steals "opportunities to discover solutions on o 7.6K views · 51 likes · 0 reposts · 3 replies Open on X →

Conor ✓@jconorgrogan20 Aug

"I present the case for total opposition to the use of artificial intelligence in mathematics." = a view you don't often hear on X. But I am looking forward to reading it carefully, and if you care about math and AI, I encourage you to do the same. https://t.co/2LtcKWCkd6 https

275.7K views · 1.1K likes · 200 reposts · 139 replies Open on X →

Im Vergleich zu Konten gleicher Größe

11 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe7 580dieses Konto1 018Median für 10K–100K

Reichweite, %14.38%dieses Konto3.99%Median für 10K–100K

Interaktion, %0.59%dieses Konto1.55%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	7 580	1 018	7.45×
Reichweite (Aufrufe ÷ Follower)	14.38%	3.99%	3.60×
Interaktionsrate	0.59%	1.55%	0.38×

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

275.7K20 Aug

7.6K

560

439

23.5K21 Aug

1622 Aug

5.6K1 Sep

2.9K

1.2M4 Sep

61.8K

26.4K9 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

0.55%20 Aug

0.73%

1.07%

1.59%

0.49%21 Aug

0.00%22 Aug

0.57%1 Sep

0.59%

0.38%4 Sep

0.60%

1.12%9 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.55%.

What the audience does

Likes61.7%5 419 in total

Reposts8.3%725 in total

Replies3.7%323 in total

Quotes3.2%278 in total

Bookmarks23.2%2 033 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

8 Sep

Daily snapshots since 08 Sep 2026; the dashed line is the starting count.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Followers by day

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