Paul Graham ✓
@paulg · joined 27 Aug 2010
5 315 723Followers
800Following
54 812Posts total
30MViews on collected posts
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If you know anyone looking for a good and fairly AI-proof career, watchmaker (= watch repairer) seems a promising one. Every watchmaker seems to have more work than he can handle, mechanical watches are increasingly popular, and it will be a while before AI does this.
9.5K views · 150 likes
· 5 reposts · 27 replies
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Using "think" to describe what an LLM does reminds me of the 16th century, when astronomers didn't really believe in the heliocentric model, but used it for calculations anyway because the math was simpler. We'll start by calling it thinking, then gradually acknowledge it is.
100.6K views · 1.8K likes
· 80 reposts · 185 replies
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The AP doesn't understand that this ship sailed years ago. What's the use of a style guide that doesn't understand current educated usage? Usage is the whole point of a style guide.
98.1K views · 391 likes
· 15 reposts · 68 replies
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This is a big enough problem that there's not just one startup idea here, but several. For example, there will probably be one variant meant to filter out agents, but another meant to welcome them in an orderly way. This also seems an idea you could build more on.
304.7K views · 2.6K likes
· 117 reposts · 258 replies
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Artificial intelligence systems do not think, feel, want or understand. Avoid language that gives them human characteristics. This is called anthropomorphizing, when we ascribe human traits, emotions or behaviors to non-human things, such as animals or inanimate objects.
Instead,
658.9K views · 1.5K likes
· 383 reposts · 293 replies
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Paweł Huryn tested models' ability to find bugs planted in code. Cost increases exponentially with performance (note the log scale on the x axis). I had ChatGPT superimpose a trend line. Bargain = above the line. https://t.co/tI616AZGt2
155.2K views · 368 likes
· 40 reposts · 94 replies
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Prewar movements were often designed to fit in the rectangular cases that were in fashion then. The war made round watches fashionable (because all military watches were round). So inside 1940s watches you sometimes find this: https://t.co/zGTwcvgNpV
36.8K views · 196 likes
· 5 reposts · 20 replies
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Bot detection & human verification will be one of the most urgent demands for businesses over the coming years. Agent swarms will suffocate every website and form; small companies and government websites are most vulnerable.
There is a huge gap in the market for this right now.
1.6M views · 12.9K likes
· 811 reposts · 1.2K replies
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An alabaster bowl. When would you guess this was made? About 5000 years ago. The future was even more unevenly distributed in the past. https://t.co/92FBISHgtb
119.9K views · 754 likes
· 28 reposts · 67 replies
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@paulg Before this spin piece becomes a sensation...
Traffic to almost ALL websites fell in the past 2 years and the reason is simple: large language models/AI.
People visit far less websites and ask ChatGPT/Claude/Gemini etc, instead. Proven time and time again by data.
You
827 views · 16 likes
· 1 reposts · 2 replies
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@paulg kind of telling that we're reading an axios chart about declining traffic without visiting axios.
1.7K views · 99 likes
· 2 reposts · 1 replies
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In the last 2 years, web traffic to news sites has fallen by about 28%. https://t.co/PArQ9n4XiO
214K views · 3.1K likes
· 284 reposts · 300 replies
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The Democrats lack all conviction, while the Republicans are full of passionate intensity.
167.8K views · 901 likes
· 38 reposts · 172 replies
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@paulg That might be believable if they didn't run the exact same playbook with GPT-2. Do you believe GPT-2 was getting dangerous? https://t.co/MJraIjlwTt
10.4K views · 408 likes
· 8 reposts · 9 replies
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For me the message here is more alarming than a mere cartel. I wish. But the real message is that the people making the models have become scared enough of them to take the otherwise unthinkable step of inviting the government in.
77.5K views · 1.1K likes
· 67 reposts · 93 replies
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If models are getting dangerous, you want to slow down. But you don't want to slow down unilaterally and be left behind. So you ask the government to make your competitors slow down too. And you can't do that with a straight face without asking to be regulated yourself.
58.5K views · 654 likes
· 15 reposts · 38 replies
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The reason so many people look for an ulterior motive for the AI labs asking to be regulated is that they don't grasp that models could be dangerous. But if you try assuming models are getting dangerous, or at least unpredictable, everything falls into place.
225.6K views · 2.2K likes
· 167 reposts · 447 replies
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Jessica and I have been watching Professor T, and it's really good. If, like me, you wish Doyle had written more Sherlock Holmes stories, this may be as close as you're going to get. https://t.co/WjgcolRPKq
161.8K views · 1K likes
· 32 reposts · 31 replies
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Something 14 yo told me: You have to overact when doing Shakespeare, because the language is now so hard for audiences to understand.
171.7K views · 1.4K likes
· 25 reposts · 61 replies
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Remember how eagerly the press swallowed stories about how Twitter was going to crash after Elon bought it? How could they have believed that someone who could run rocket and car companies couldn't run a forum? https://t.co/4XaSkqmAqU
7M views · 14.5K likes
· 910 reposts · 653 replies
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It's isn't just to people with ADHD that this happens. Some tasks inherently take a certain amount of time. An appointment that breaks the afternoon into two blocks of time could leave you with no block long enough to complete a task.
351.4K views · 3.6K likes
· 141 reposts · 181 replies
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In the 1950s, an aluminum company commissioned Vacheron & Constantin to make them some aluminum pocket watches. The case, dial, hands, numerals, and even the plates in the movement are aluminum. The resulting watch is 44 mm in diameter but weighs only 22 g. https://t.co/UfjvTRUm5
105.2K views · 476 likes
· 31 reposts · 52 replies
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Miriam Pawel says more than she realizes:
"Students on University of California campuses may struggle with basic math, but they are graduating at record rates."
179.5K views · 3.1K likes
· 121 reposts · 87 replies
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Notice anything interesting about this watch coming up for auction in a couple days? https://t.co/f7t1Hzv1Cv
169.4K views · 334 likes
· 14 reposts · 88 replies
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I did office hours today with a founder who had so many different things to figure out that we walked for 5 miles. (These were mostly the good kind of problem. He's in the early stage, where problems ≈ deciding what to do in what order.)
182.4K views · 1.8K likes
· 29 reposts · 118 replies
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In Texas they found 117 potential noncitizens out of 18 million voters. That's .00065%. And that's an an upper bound; these are merely "potential" noncitizens.
This is a fake problem. https://t.co/fQxemllZdO
307.9K views · 9.3K likes
· 1.6K reposts · 428 replies
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Paul Buchheit meme-ranks with Jobs, Zuck, and Elon. (He's the one who came up with "Don't be evil.") https://t.co/uvDMx47eiA
174K views · 1.9K likes
· 47 reposts · 39 replies
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Although you pay for AI by the token, that's not the unit of inference, because you get more problem solving per token as models improve. Someone needs to define the unit, perhaps using a chain of increasingly hard problems, each pair of which can be solved by a single model.
109K views · 784 likes
· 30 reposts · 162 replies
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A founder of a startup I funded had these brass plaques made to put up over his and his cofounder's desks. (He's Build Stuff, she's Talk to Users.) https://t.co/Dg3AfBobiA
139.5K views · 3K likes
· 145 reposts · 131 replies
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Im Vergleich zu Konten gleicher Größe
85 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 1M–10M Follower. wird weit über das eigene Publikum hinaus gezeigt, und es reagiert.
Medianaufrufe149 885dieses Konto14 648Median für 1M–10M
Reichweite, %2.82%dieses Konto0.74%Median für 1M–10M
Interaktion, %1.08%dieses Konto0.70%Median für 1M–10M
| Kennzahl | Dieses Konto | Median für 1M–10M | Verhältnis |
|---|---|---|---|
| Medianaufrufe pro Beitrag | 149 885 | 14 648 | 10.2× |
| Reichweite (Aufrufe ÷ Follower) | 2.82% | 0.74% | 3.81× |
| Interaktionsrate | 1.08% | 0.70% | 1.55× |
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
167.8K21 Sep
214K22 Sep
1.7K
771
827
119.9K
1.6M
36.8K23 Sep
155.2K
658.9K
304.7K24 Sep
98.1K
100.6K
9.5K
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
0.67%21 Sep
1.79%22 Sep
6.04%
3.11%
2.30%
0.71%
0.95%
0.60%23 Sep
0.33%
0.38%
0.98%24 Sep
0.49%
2.10%
1.94%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.70%.
What the audience does
Likes73.7%70 385 in total
Reposts5.5%5 223 in total
Replies5.5%5 270 in total
Quotes1.5%1 402 in total
Bookmarks13.8%13 189 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
20 Sep23 Sep
Daily snapshots since 20 Sep 2026; the dashed line is the starting count.
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