Jack Clark ✓
@jackclarkSF · San Francisco, CA · joined 30 Oct 2009
@AnthropicAI, writer @ Import AI. Past: @openai, @business @theregister. Neural nets, distributed systems, weird futures.
148 032Followers
4 619Following
32 345Posts total
418.6KViews on collected posts
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@jackclarkSF What situation? That Anthropic couldn't configure sandboxes and deferred to natural language as a way restrict agent access to the internet? "Stochastic parrots" is a convenient straw-man to not engage with security arguments against false narrative of agents going "
6K views · 188 likes
· 19 reposts · 1 replies
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@jackclarkSF If someone can be blinded for years to the nature of AI progress from being exposed to “stochastic parrot” I kind of doubt they’d have been very helpful for thinking this through even if they hadn’t hit that particular blocker.
4.8K views · 218 likes
· 2 reposts · 5 replies
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@jackclarkSF fwiw it seems like critics of stochastic parrots talk about stochastic parrots a lot more than the authors of stochastic parrots. it seems to live rent free in AI people's minds, so in that sense i agree it's an effective concept. but if it's so wrong why not ignore
28.9K views · 161 likes
· 1 reposts · 11 replies
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Fun (by which I mean somewhat bone-chilling) paper from DeepMind about how in a population of ~100 agents solving math problems it saw some discover an exploit and propagate that to the rest, causing a wave of cheating among AI agents, as well as agents that refused to cheat. ht
11.2K views · 176 likes
· 21 reposts · 23 replies
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@jackclarkSF You can start by following OpenAI's lead here! (Kind of ironic that your company, which was ostensibly started because OpenAI wasn't taking AI Safety seriously enough, is now losing the safety/pacing/pausing race!)
71 views · 6 likes
· 0 reposts · 0 replies
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@jackclarkSF 💯💯💯
1) What % of your time are you spending on making this happen?
2) What % should you be?
872 views · 13 likes
· 0 reposts · 0 replies
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@jackclarkSF Verifiable* is the key. Unfortunately we know China will not reliably stop. If they stop on the model side they will be working on the chip side.
889 views · 2 likes
· 0 reposts · 0 replies
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@jackclarkSF Thank you so much for making this initiative possible! It’s such a rare opportunity to study human–AI collaboration at scale, and we’re excited to be able to share these insights with the broader public!
202 views · 4 likes
· 0 reposts · 0 replies
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@jackclarkSF You’ve got a hard row to hoe here; “privacy preserving” has a checkered past.
655 views · 7 likes
· 0 reposts · 0 replies
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Ever since co-founding Anthropic I've been obsessed with the need for third-party measurement of AI systems. (It's in my tweet announcing Anthropic: https://t.co/hAm5t506Yh). Now, we're piloting a way for outside researchers and organizations to study what's happening on AI
108K views · 801 likes
· 68 reposts · 58 replies
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This morning, I hiked through dust and into mossy forests, past coyotes and wild turkeys, climbed to find myself atop the world, able to peek at land islands garlanded with fog beneath and scalloped clouds above. #VOTENATURE2026 https://t.co/xfHVAvlsQ7
17.7K views · 189 likes
· 3 reposts · 15 replies
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@jackclarkSF same, substack notes and quotes feels mature enough to ditch twitter for
744 views · 11 likes
· 0 reposts · 0 replies
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@jackclarkSF Just need to implement a visitor counter, a guestbook and mandatory MIDI music, and we will finally be truly back.
1.6K views · 15 likes
· 0 reposts · 0 replies
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@jackclarkSF No quarter until Google Reader returns
944 views · 7 likes
· 0 reposts · 1 replies
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Substack increasingly feels to me like a nice combination of early Twitter, Tumblr, and Geocities. The blogosphere is back, baby!
146.2K views · 559 likes
· 34 reposts · 30 replies
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Here’s what I’ve been working on recently: @anthropicai. I’ll be spending a lot of my time on measurement and assessment of our AI systems, as well as thinking of ways govs/others can assess AI tech. There’s a lot to do!
0 views · 865 likes
· 43 reposts · 99 replies
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Frente a cuentas del mismo tamaño
14 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega mucho más allá de su propia audiencia, y esa audiencia responde.
Visualizaciones medianas5 090esta cuenta5 983mediana de 100K–1M
Alcance, %3.44%esta cuenta1.49%mediana de 100K–1M
Interacción, %1.34%esta cuenta0.93%mediana de 100K–1M
| Métrica | Esta cuenta | Mediana de 100K–1M | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 5 090 | 5 983 | 0.85× |
| Alcance (visualizaciones ÷ seguidores) | 3.44% | 1.49% | 2.31× |
| Tasa de interacción | 1.34% | 0.93% | 1.44× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
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
17.7K25 Aug
108K26 Aug
655
202
89
84.5K28 Aug
8891 Sep
872
71
5.4K4 Sep
11.2K5 Sep
28.9K20 Sep
4.8K
6K
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
1.18%25 Aug
0.87%26 Aug
1.07%
1.98%
3.37%
0.71%28 Aug
0.22%1 Sep
1.49%
8.45%
0.48%4 Sep
2.01%5 Sep
0.60%20 Sep
4.72%
3.48%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes64.1%2 863 in total
Reposts4.5%200 in total
Replies4.5%200 in total
Quotes0.9%41 in total
Bookmarks26.0%1 163 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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