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

โพสต์ล่าสุด

Arjun Raj ✓@arjunrajlab11 Sep

@arjunrajlab Did you test it in your Garage? 232 views · 2 likes · 0 reposts · 0 replies Open on X →

Arjun Raj ✓@arjunrajlab10 Sep

@arjunrajlab I hope you have not shared it in your openai chats ... 540 views · 1 likes · 0 reposts · 0 replies Open on X →

Arjun Raj ✓@arjunrajlab10 Sep

@arjunrajlab It determined that it’s easier to schedule if all the committee members mysteriously die. 640 views · 2 likes · 0 reposts · 1 replies Open on X →

Arjun Raj ✓@arjunrajlab10 Sep

So should I be adding "aggregated user data" to my author list? 2.1K views · 7 likes · 0 reposts · 0 replies Open on X →

Arjun Raj ✓@arjunrajlab10 Sep

@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 · 1 reposts · 2 replies Open on X →

Arjun Raj ✓@arjunrajlab10 Sep

@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 · 0 reposts · 0 replies Open on X →

Arjun Raj ✓@arjunrajlab10 Sep

@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 · 1 reposts · 0 replies Open on X →

Arjun Raj ✓@arjunrajlab10 Sep

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 · 1 reposts · 6 replies Open on X →

Arjun Raj ✓@arjunrajlab10 Sep

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 · 11 reposts · 4 replies Open on X →

Arjun Raj ✓@arjunrajlab9 Sep

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! 2.7K views · 13 likes · 0 reposts · 0 replies Open on X →

Arjun Raj ✓@arjunrajlab9 Sep

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? 4K views · 8 likes · 0 reposts · 1 replies Open on X →

Arjun Raj ✓@arjunrajlab9 Sep

@arjunrajlab Fake news. It's objectively impossible. 800 views · 6 likes · 0 reposts · 0 replies Open on X →

Arjun Raj ✓@arjunrajlab9 Sep

@arjunrajlab The rumor is true! See Knuth (1984) and Lamport (1994). 1K views · 8 likes · 0 reposts · 0 replies Open on X →

Arjun Raj ✓@arjunrajlab9 Sep

@arjunrajlab Gives me confidence AI will actually cure all disease in 10 years 552 views · 5 likes · 0 reposts · 0 replies Open on X →

Arjun Raj ✓@arjunrajlab9 Sep

I've heard a rumor that someone has solved the figures-jumping-around-in-a-Word-doc problem… 18.7K views · 287 likes · 15 reposts · 13 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

15 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม ต่ำกว่าบัญชีรุ่นเดียวกันทั้งการเข้าถึงและการมีส่วนร่วม.

ยอดดูมัธยฐาน1 427บัญชีนี้990ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %2.26%บัญชีนี้3.66%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.70%บัญชีนี้1.61%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	1 427	990	1.44×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	2.26%	3.66%	0.62×
อัตราการมีส่วนร่วม	0.70%	1.61%	0.43×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

800

2.7K

14.8K10 Sep

16.9K

1.2K

1.4K

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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Followers by day

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