Been Kim ✓

@_beenkim · joined 21 Aug 2011

Research Scientist at Google DeepMind, PhD from MIT. Make machines empower people.

27 744Followers

514Following

849Posts total

131.5KViews on collected posts

Últimas publicaciones

Been Kim ✓@_beenkim12 Sep

@_beenkim Yeah but *every* technological disruption upended *some* community's way of life. Why is it any different now? https://t.co/6OosecEPTa 1.6K views · 8 likes · 0 reposts · 4 replies Open on X →

Been Kim ✓@_beenkim12 Sep

In every other industry, the product misbehaving and causing harm (hacking/DoS'ing your competitors) is seen as a *failure* of the industry in controlling its products. The genius of the frontier companies is to make this a *our* rather than *their* problem! https://t.co/WITKaH0N

17.3K views · 142 likes · 26 reposts · 4 replies Open on X →

Been Kim ✓@_beenkim11 Sep

@_beenkim A numerical analyst explained NS to me yesterday (in between me breaking AI-news to a student/collaborator :-|). My reaction: this (3D non-linear stuff) is exactly what @WaterlooMath warned us to never work on without compute... (In memory of the 4-color conjecture, 1 809 views · 3 likes · 0 reposts · 1 replies Open on X →

Been Kim ✓@_beenkim11 Sep

@_beenkim But 2 renowned mathematicians were also using AI for solving Navier Stokes, but then OpenAI took the lead. I wonder if the sentiments of math community would have been same if the mathematicians had solved it using AI. 712 views · 4 likes · 0 reposts · 2 replies Open on X →

Been Kim ✓@_beenkim11 Sep

If you are feeling sad about an AI (presumably) solving Navier–Stokes, you are not alone. Drama aside, the fact that it only took a matter of days hits differently. Terry Tao’s words resonate deeply here: "The mathematical community functions, in many ways, as a miniature 17.5K views · 168 likes · 9 reposts · 10 replies Open on X →

Been Kim ✓@_beenkim10 Jul

I’m giving a talk tmr at PhilML workshop at 10:35am! Please note that they’ll be actual philosophers (other speakers!) at the workshop too, so come by for some spicy thinking questions for you to ponder as you travel back home... :) It’s a great way to end icml. 8K views · 52 likes · 1 reposts · 0 replies Open on X →

Been Kim ✓@_beenkim6 Jul

Flying to ICML ✈️ I’ll be spending the week either at the conference or at restaurants/street food stations eating at least 4 meals a day. Also giving a keynote at PhilML workshop on 11th:) 8.6K views · 101 likes · 2 reposts · 3 replies Open on X →

Been Kim ✓@_beenkim4 Feb

Prompt engineering is still a black box. Why does changing X drastically change Y? Are there governing rules behind this evolution? Our new work proposes a simple way to uncover factors that might matter when refining prompts 👇 8.8K views · 38 likes · 1 reposts · 2 replies Open on X →

Been Kim ✓@_beenkim4 Feb

Thrilled to share that our paper on "Interpreting and Controlling Model Behavior via Constitutions for Atomic Concept Edits" has been accepted at AISTATS 2026! 🚀🚀 Read more about how input mutations can be mapped to interpretable behavioral insights. https://t.co/iRPRJoyAso 🧵 15.5K views · 74 likes · 8 reposts · 4 replies Open on X →

Been Kim ✓@_beenkim21 Jan

@_beenkim Prove that you are you, Been :) 1.8K views · 6 likes · 0 reposts · 1 replies Open on X →

Been Kim ✓@_beenkim20 Jan

I got my account back! Thank you, first and foremost, to everyone—friends, GDM colleagues---who personally alerted me to this incident and retweeted that I'm hacked, as well as folks at X who helped me regain access. While this incident was terrible (I heard the scammers made 23.5K views · 173 likes · 6 reposts · 24 replies Open on X →

Been Kim ✓@_beenkim20 Jan

This scam was targeted, sophisticated, and used AI-generated content. I want to share what happened here so that no one else falls for this. 1. The scammers emailed me (bypassing my spam box) citing a recent tweet of mine with pictures (holding a NeurIPS cup) and claiming a 27.3K views · 181 likes · 10 reposts · 18 replies Open on X →

Frente a cuentas del mismo tamaño

5 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas1 603esta cuenta924mediana de 10K–100K

Alcance, %5.78%esta cuenta3.62%mediana de 10K–100K

Interacción, %0.84%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	1 603	924	1.73×
Alcance (visualizaciones ÷ seguidores)	5.78%	3.62%	1.60×
Tasa de interacción	0.84%	1.52%	0.55×

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

27.3K20 Jan

23.5K

1.8K21 Jan

15.5K4 Feb

8.8K

8.6K6 Jul

8K10 Jul

17.5K11 Sep

712

809

17.3K12 Sep

1.6K

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.78%20 Jan

0.88%

0.38%21 Jan

0.58%4 Feb

0.47%

1.24%6 Jul

0.67%10 Jul

1.07%11 Sep

0.84%

0.49%

1.01%12 Sep

0.75%

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

What the audience does

Likes70.4%950 in total

Reposts4.7%63 in total

Replies5.4%73 in total

Quotes1.0%14 in total

Bookmarks18.5%249 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.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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