Alex Stamos ✓
@alexstamos · San Francisco, CA · joined 21 May 2009
Doing AI security stuff at https://t.co/dAzjWy3P9q and teaching at Stanford (https://t.co/qi1lzlkg3K).
91 152Followers
1 927Following
214Posts total
793.6KViews on collected posts
Derniers posts
Recherche de nouveaux posts…
If you know nothing about AI or cyber, both Dwarkesh and Chamath's takes are comforting shadows on the cave wall. The former interprets AI as having human-like motivations, the latter frames this entire incident as a psyop by people as cynical and unethical as him. More soon.
16.3K views · 131 likes
· 9 reposts · 6 replies
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For anyone who avoided reading that Dwarkesh piece, too bad because I need you to at least experience this pain with me. https://t.co/Xxx18fCn8J
66.7K views · 573 likes
· 43 reposts · 63 replies
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Proud to have @corridor's logo on this.
AI is already massively uplifting attacker capabilities. I have compared it to every threat actor being promoted to the Premier League; there are no longer second tier groups lacking ability to do 0-day discovery and exploit development.
6.2K views · 27 likes
· 2 reposts · 2 replies
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Hey, @TsentaAi, are you bouncing your spammy AI job applications off of residential proxies? Do these people (and ISPs) know you are ruining their IP reputation and making it impossible for the people actually in that home to find a job? Does @ycombinator know about this? https:/
10.9K views · 91 likes
· 6 reposts · 5 replies
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Thank you to @DKThomp for the chance to talk about this summer's cybersecurity and AI craziness and what it means for the future on the Plain English Podcast. It's a challenge communicating these issues to the broader public but Derek is a pro.
https://t.co/3dCcDDOS1Z
21.5K views · 31 likes
· 4 reposts · 1 replies
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I would love to see a tiger team drawn from OpenAI, Anthropic, Google (who apparently knows how to jail models) AISI, and independent experts take a look at all these escapes and quickly publish industry guidelines on isolation/airgaps/data diodes. https://t.co/z9nTn3tnab
7.9K views · 81 likes
· 19 reposts · 5 replies
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The only upside I can see from this whole mess is that there is a whole bunch of VCs with former or current Administration affiliation who we can now safely ignore on AI policy.
They have shown that everything they ever said on AI regulation was just politically motivated.
15.6K views · 150 likes
· 9 reposts · 1 replies
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For all the “This is what Anthropic wanted” people/bots. No, they didn’t. They didn’t want a stupid, knee-jerk response on a Friday. We give the USG huge powers, this is why you staff it with competent, calm, non-corrupt people who don’t use those powers to punish enemies.
19.4K views · 186 likes
· 5 reposts · 4 replies
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@alexstamos I’d peg Amazon as the guilty party here. When the CEO of a big trusted tech company tells gov “this is bad,” of course they will freak out. Amazon should have known better and possibly had ulterior motives.
29.3K views · 104 likes
· 0 reposts · 6 replies
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This was a huge own goal for the US, and we will see how bad US models get over the next six months and if Chinese models become noticeably better for cyber work.
59.8K views · 422 likes
· 10 reposts · 7 replies
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In short, Anthropic's blog is saying: We have always cared about safety, we did a good job initially, the actual AI experts in USG agreed, we proved it, we will come up with standards so these things are better communicated, welcome to the AI safety club Trump admin.
56.9K views · 407 likes
· 13 reposts · 1 replies
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4) There is no good scoring framework for jailbreaks; this would be an improvement. The inclusion of Amazon as the first name in the coalition is not an accident. Anthropic is saying "Amazon's inability to appropriately communicate severity threw our industry into chaos". https:/
75.2K views · 393 likes
· 8 reposts · 2 replies
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5) "You don't have to get Dario on the phone to talk to us about these things. Other people work here, we swear." https://t.co/ZRMJxurNLJ
57.4K views · 328 likes
· 8 reposts · 2 replies
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"No big deal, just join the trusted group!" the apologists will say, but the restrictions mean you can't build a product on those models. Security companies and startups that provide services to others will now be driven to use Chinese models. Big win for PRC labs this month.
146.4K views · 609 likes
· 29 reposts · 4 replies
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3) CAISI is the group that is supposed to actually make these determinations, not the political actors in the White House. They were positive on the prior safeguards. The implication is that this whole thing was unnecessary. https://t.co/AnRIm8ohws
86.4K views · 363 likes
· 12 reposts · 2 replies
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2) Anthropic makes the cost of this White House freakout clear. US labs now have to make a much more conservative precision-recall tradeoff on cyber refusals. US models will become much less useful for defensive cybersecurity work unless you are in the trusted group. https://t.co
117.5K views · 531 likes
· 29 reposts · 2 replies
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Face aux comptes de taille comparable
6 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.
Vues médianes13 610ce compte924médiane pour 10K–100K
Portée, %14.93%ce compte3.62%médiane pour 10K–100K
Engagement, %0.93%ce compte1.52%médiane pour 10K–100K
| Indicateur | Ce compte | Médiane pour 10K–100K | Rapport |
|---|---|---|---|
| Vues médianes par post | 13 610 | 924 | 14.7× |
| Portée (vues ÷ abonnés) | 14.93% | 3.62% | 4.12× |
| Taux d'engagement | 0.93% | 1.52% | 0.61× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
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
146.4K1 Jul
57.4K
75.2K
56.9K
59.8K
29.3K
19.4K
15.6K
7.9K7 Aug
21.5K18 Aug
10.9K
6.2K27 Aug
66.7K30 Aug
16.3K31 Aug
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
0.44%1 Jul
0.59%
0.54%
0.74%
0.74%
0.38%
1.01%
1.03%
1.34%7 Aug
0.17%18 Aug
0.94%
0.50%27 Aug
1.03%30 Aug
0.91%31 Aug
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes85.5%4 427 in total
Reposts4.0%206 in total
Replies2.2%113 in total
Quotes0.7%35 in total
Bookmarks7.7%398 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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