Sayash Kapoor

@sayashk · Princeton · joined 15 Mar 2015

Incoming prof @UCBerkeley AI agents, policy, evals, AI for science Essay/newsletter (AI as Normal Technology): https://t.co/5amOkqLb4A Book (AI Snake Oil): https://t.co/DabpkhNZ2k

14 847Followers

2 443Following

1 637Posts total

208KViews on collected posts

Последние посты

Sayash Kapoor@sayashk27 Aug

I’ll be joining the @MTSlive stream in an hour or so to talk about our work on evaluating open-ended AI research (https://t.co/BCnIMkxbok) and to share some thoughts on the OpenAI HuggingFace incident. 4.1K views · 33 likes · 3 reposts · 3 replies Open on X →

Sayash Kapoor@sayashk31 Jul

@sayashk Interesting, this is different from my experience. I guess the nature of the problems matter a lot. There are a lot of open-ended ideas here: https://t.co/B7SJ7zRh1Q We have also generated many papers in this space: https://t.co/Zslj5GdOTM Happy to explore whether the 314 views · 10 likes · 1 reposts · 1 replies Open on X →

Sayash Kapoor@sayashk31 Jul

@sayashk open-ended is where evals go to die 523 views · 4 likes · 0 reposts · 0 replies Open on X →

Sayash Kapoor@sayashk30 Jul

One of the best parts of working on CRUX has been the diversity of priors/opinions in the coauthor group. I'm glad we had Seth's feedback (and pushback) on our results and interpretations. The paper is stronger as a result. On that note, we are open to adversarial collaboration: 5.5K views · 31 likes · 5 reposts · 4 replies Open on X →

Sayash Kapoor@sayashk30 Jul

@sayashk Nice research! I am somewhat hopeful that the right harness setups can help, though I've also seen some structural limitations with today's LLMs when it comes to research. I might try out your prompts in the AI researcher I've been working on ( https://t.co/yy4rrTe0a4 828 views · 9 likes · 0 reposts · 0 replies Open on X →

Sayash Kapoor@sayashk30 Jul

I am really enjoying these *CRUXes*. I was definitely more bullish on agents' prospects for writing a neurips-worthy paper than most, but that was largely because of, ahem, a certain scepticism about that as a bar. Still, this was definitely an update for me, as of now—but like 9.5K views · 20 likes · 4 reposts · 0 replies Open on X →

Sayash Kapoor@sayashk30 Jul

ICYMI: We plan to continue these evals and are looking to collaborate with AI researchers who have unpublished, open-ended research. If you would like to test frontier agents on your research questions, we'd love to hear from you: https://t.co/6pBgCyGmdI 6.6K views · 46 likes · 3 reposts · 3 replies Open on X →

Sayash Kapoor@sayashk30 Jul

Can AI agents conduct open-ended AI research? Most evaluations of agents conducting AI research focus on narrow, verifiable tasks. But AI research is often open ended. Researchers pick hypotheses, decide what evidence is appropriate, and recognize a failing approach. We gave h 174K views · 705 likes · 145 reposts · 69 replies Open on X →

Sayash Kapoor@sayashk27 Jul

How can academics impact AI policy? I had the pleasure of talking to @r_zwetsloot about my PhD experience in AI policy. While the interview is about policy impact, most of the points apply to AI research broadly. https://t.co/o4uWDfkZOY 6.7K views · 111 likes · 16 reposts · 5 replies Open on X →

На фоне аккаунтов своего размера

9 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается широко, но откликается мало кто.

Медианные просмотры5 506этот аккаунт924медиана для 10K–100K

Охват, %37.08%этот аккаунт3.62%медиана для 10K–100K

Вовлечённость, %0.80%этот аккаунт1.52%медиана для 10K–100K

Показатель	Этот аккаунт	Медиана для 10K–100K	Отношение
Медианные просмотры на пост	5 506	924	5.96×
Охват (просмотры ÷ подписчики)	37.08%	3.62%	10.2×
Вовлечённость	0.80%	1.52%	0.53×

Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →

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

6.7K27 Jul

174K30 Jul

6.6K

9.5K

828

5.5K

52331 Jul

314

4.1K27 Aug

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.96%27 Jul

0.55%30 Jul

0.80%

0.26%

1.09%

0.73%

0.76%31 Jul

3.82%

0.96%27 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes48.9%969 in total

Reposts8.9%177 in total

Replies4.3%85 in total

Quotes2.0%40 in total

Bookmarks35.9%711 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.

Последние посты

На фоне аккаунтов своего размера

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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