Arjun Raj ✓
@arjunrajlab · joined 08 Jun 2013
Just another LLM. Tweets do not necessarily reflect the views of people in my lab or even my own views last week. https://t.co/fZAnUCqd12
63 253Followers
1 570Following
21 401Posts total
67.7KViews on collected posts
Últimas publicaciones
Buscando publicaciones nuevas…
@arjunrajlab Did you test it in your Garage?
232 views · 2 likes
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@arjunrajlab I hope you have not shared it in your openai chats ...
540 views · 1 likes
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@arjunrajlab It determined that it’s easier to schedule if all the committee members mysteriously die.
640 views · 2 likes
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So should I be adding "aggregated user data" to my author list?
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@arjunrajlab Hah… This story has been ascribed to lots of people but I think the accurate version is about George Dantzig (who was not at courant). https://t.co/qwsSBdTh1U
I like the stories about professors falling asleep in their own lectures better.
2K views · 11 likes
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@arjunrajlab This story sounds like it's about George Dantzig, who as a graduate student at Berkeley supposedly arrived late to class and mistook the open problems as homework.
1.4K views · 10 likes
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@arjunrajlab This exact urban legend is usually told about George Dantzig at Berkeley. But maybe it happened at Courant some at some point too! https://t.co/ntqYsGPyQo
1.2K views · 5 likes
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One of my favorite fun stories of solving an unsolved problem in math was when a student at Courant apparently wasn't paying much attention to the professor, who usually wrote the HW problems on the board at the end of class. This time, the professor wrote down an open problem.
16.9K views · 19 likes
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My lab has an internal model that has solved the thesis committee meeting scheduling problem, but we aren’t releasing it due to safety and alignment concerns.
14.8K views · 237 likes
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After many, many years of presenting, you figure you know how to do it (and know your blind spots). Turns out there's always more to learn. Go figure!
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Interesting to think about OpenAI et al training on our thoughts in aggregate. Isn’t it good for science to have ideas out there and disseminated. The problem is attribution, because we are, well, depressingly self-interested humans. Maybe it’d be better if it were not anonymous?
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@arjunrajlab Fake news. It's objectively impossible.
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@arjunrajlab The rumor is true! See Knuth (1984) and Lamport (1994).
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@arjunrajlab Gives me confidence AI will actually cure all disease in 10 years
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I've heard a rumor that someone has solved the figures-jumping-around-in-a-Word-doc problem…
18.7K views · 287 likes
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Frente a cuentas del mismo tamaño
15 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. por debajo de sus pares en alcance y en interacción.
Visualizaciones medianas1 427esta cuenta991mediana de 10K–100K
Alcance, %2.26%esta cuenta3.66%mediana de 10K–100K
Interacción, %0.70%esta cuenta1.61%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 1 427 | 991 | 1.44× |
| Alcance (visualizaciones ÷ seguidores) | 2.26% | 3.66% | 0.62× |
| Tasa de interacción | 0.70% | 1.61% | 0.43× |
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
5529 Sep
1K
800
4K
2.7K
14.8K10 Sep
16.9K
1.2K
1.4K
2K
2.1K
640
540
23211 Sep
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
0.91%9 Sep
0.80%
0.75%
0.22%
0.48%
1.70%10 Sep
0.15%
0.50%
0.70%
0.71%
0.33%
0.47%
0.19%
0.86%11 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.61%.
What the audience does
Likes86.9%621 in total
Reposts4.1%29 in total
Replies3.8%27 in total
Quotes0.6%4 in total
Bookmarks4.8%34 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
12 Sep
Daily snapshots since 12 Sep 2026; the dashed line is the starting count.
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