Fei-Fei Li ✓

@drfeifei · Stanford, CA, U.S.A. · joined 08 Apr 2010

Cofounder/CEO @theworldlabs, Prof (CS @Stanford), Co-Director @StanfordHAI, #AI #SpatialIntelligence #GenAI #computervision #robotics #AI-healthcare

1 059 996Followers

1 196Following

3 113Posts total

15.8MViews on collected posts

Latest posts

Fei-Fei Li ✓@drfeifei22 Sep

The goal of building any technology, AI included, should be bettering human lives and society. 99.6K views · 997 likes · 150 reposts · 85 replies Open on X →

Fei-Fei Li ✓@drfeifei22 Sep

“Any threat to human society, including existential, is within ourselves,” says World Labs Technologies CEO Fei-Fei Li as she discusses the risks surrounding AI, and the responsibility humans have in shaping how the technology is developed and used. Listen to our full interview

0:57

99.4K views · 131 likes · 33 reposts · 8 replies Open on X →

Fei-Fei Li ✓@drfeifei18 Sep

Agents can be AI, but agency is human. It is every individual’s responsibility to empower our own agency, with the help of tools. But the North Star should always remain human centered. 161.1K views · 2.4K likes · 371 reposts · 188 replies Open on X →

Fei-Fei Li ✓@drfeifei15 Sep

Incredible opportunity for robotic learning researchers/engineers to join @theworldlabs! ❤️‍🔥 124.3K views · 815 likes · 70 reposts · 33 replies Open on X →

Fei-Fei Li ✓@drfeifei15 Sep

We're hiring in robot learning at @theworldlabs! Join me, @drfeifei, and the team to define and scale the next generation of world models for robot learning! Atlas for Robotics: https://t.co/Ml0KBj4CGA Real-to-Sim-to-Real: https://t.co/lL3jPQrDpC Apply: https://t.co/xSmzKkEtIJ

0:41

147.4K views · 534 likes · 38 reposts · 24 replies Open on X →

Fei-Fei Li ✓@drfeifei9 Sep

The world of R&D is forking into two paths: the token-abundant research, and the token-starved research. The future is in the former - evidentially, the progress by today's top AI industry teams and neolabs is breathtaking, where researchers’ human brilliance is super charged by 319.4K views · 2.6K likes · 404 reposts · 83 replies Open on X →

Fei-Fei Li ✓@drfeifei8 Sep

Atlas runs on real-time!!🚀 96.9K views · 842 likes · 71 reposts · 43 replies Open on X →

Fei-Fei Li ✓@drfeifei4 Sep

Next view prediction is the key to Atlas, enabling us to unify pixel-level generation and reconstruction. @jcjohnss @BenMildenhall @martin_casado and I had a deeper discussion on some of the most exciting technical innovations of Atlas, our newly released world model for spatial 107.6K views · 982 likes · 114 reposts · 35 replies Open on X →

Fei-Fei Li ✓@drfeifei4 Sep

World Labs co-founders Fei-Fei Li, Justin Johnson, Ben Mildenhall, and a16z's Martin Casado on Atlas, a world model for spatial intelligence: LLMs are built on next token prediction. Video models are built on next frame prediction. Atlas is built on new view prediction, and it's

43:42

740.4K views · 864 likes · 133 reposts · 34 replies Open on X →

Fei-Fei Li ✓@drfeifei3 Sep

@drfeifei @mark_k 这是AI的终极形态 48 views · 0 likes · 0 reposts · 0 replies Open on X →

Fei-Fei Li ✓@drfeifei2 Sep

@drfeifei @mark_k Absolutely spectacular. 125 views · 1 likes · 0 reposts · 0 replies Open on X →

Fei-Fei Li ✓@drfeifei2 Sep

@drfeifei @mark_k Couldn't agree more!😎 179 views · 0 likes · 0 reposts · 0 replies Open on X →

Fei-Fei Li ✓@drfeifei2 Sep

@mark_k The world deserves a model 😜 11.5K views · 202 likes · 6 reposts · 9 replies Open on X →

Fei-Fei Li ✓@drfeifei2 Sep

@drfeifei @theworldlabs Reconstructing a full scene from one input image is wild. How does it handle the parts of the scene that were never actually visible in that image 11.9K views · 23 likes · 0 reposts · 5 replies Open on X →

Fei-Fei Li ✓@drfeifei1 Sep

Atlas > Fable Biggest AI breakthrough in a long time. 88.5K views · 818 likes · 25 reposts · 33 replies Open on X →

Fei-Fei Li ✓@drfeifei1 Sep

@drfeifei @maggie_albrecht @theworldlabs Epic work @drfeifei congratulations!!! 2.4K views · 10 likes · 1 reposts · 0 replies Open on X →

Fei-Fei Li ✓@drfeifei1 Sep

@drfeifei @chasebrignac @theworldlabs Congratulations! 2.8K views · 11 likes · 0 reposts · 0 replies Open on X →

Fei-Fei Li ✓@drfeifei1 Sep

I'm so excited that our @theworldlabs team has achieved a major milestone today! Introducing Atlas - a first of its kind multimodal world model trained from scratch! 🚀 Atlas is capable of generating frames with pixel-perfect camera control, reconstructing large scenes from as 1.2M views · 9.8K likes · 1.1K reposts · 322 replies Open on X →

Fei-Fei Li ✓@drfeifei1 Sep

Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time. https://t.co/o0qeGubi19

1:25

10.8M views · 32.4K likes · 3.5K reposts · 776 replies Open on X →

Fei-Fei Li ✓@drfeifei23 Aug

On this random Sunday afternoon, I just noticed that I have 1M followers on X now. Feels like a big responsibility 🤔❤️ 239.5K views · 3.4K likes · 72 reposts · 209 replies Open on X →

Fei-Fei Li ✓@drfeifei10 Aug

Indeed all tools should be about augmenting human agency, including AI! I had a fun chat with @hubermanlab . 160.8K views · 1.1K likes · 149 reposts · 51 replies Open on X →

Fei-Fei Li ✓@drfeifei10 Aug

The new Huberman Lab episode is out: Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li (@drfeifei) 0:00 Fei-Fei Li 3:46 Vision & Intelligence; Human Vision & Contribution to AI 12:11 Computer Vision & the AI Revolution 18:34 Sponsors: Lingo & Wealthfront

128:12

475.2K views · 1.1K likes · 182 reposts · 60 replies Open on X →

Fei-Fei Li ✓@drfeifei28 Jul

@drfeifei RL is all about envs. Real2sim2real is one of the best ways to scale envs for physical RL. Congrats! 9K views · 71 likes · 5 reposts · 1 replies Open on X →

Fei-Fei Li ✓@drfeifei28 Jul

In our taxonomy of world models, we called the simulator the linchpin: the place where agents can act, learn, and be evaluated. Our R2S2R engine can move robot development beyond slow, expensive, hardware-bound iteration toward more scalable and cheaper training and evaluation. 14.1K views · 75 likes · 6 reposts · 6 replies Open on X →

Fei-Fei Li ✓@drfeifei28 Jul

The Sim-to-Real part of R2S2R uses these aligned worlds for training. The policies were trained entirely in simulation with zero real-world data, transferred directly to diverse robot platforms, and operated autonomously for hours without failure or human intervention. Our engine 5K views · 44 likes · 4 reposts · 2 replies Open on X →

Fei-Fei Li ✓@drfeifei28 Jul

Sim-to-real aligned simulation also makes evaluation scalable. Here, the same failure behavior and outcome appear in both virtual and physical worlds. The simulation captures more than the task setup or final success label; it reproduces the conditions that push a policy toward h 11.1K views · 48 likes · 6 reposts · 4 replies Open on X →

Fei-Fei Li ✓@drfeifei28 Jul

With the help of generative world models, a real-to-sim-to-real (R2S2R) simulation engine turns one physical task into many controllable, reusable worlds, helping robotics teams train policy models and test changes faster, uncover failures earlier, and reduce costly https://t.co/ 22K views · 138 likes · 24 reposts · 5 replies Open on X →

Fei-Fei Li ✓@drfeifei28 Jul

The Real-to-Sim part of R2S2R transforms physical robots, sensors, environments, objects, and interactions into simulations that preserve task-relevant observations and dynamics - not only how the world looks, but how it acts when the robot interacts with it. These results set a 25.8K views · 145 likes · 19 reposts · 3 replies Open on X →

Fei-Fei Li ✓@drfeifei28 Jul

When SceniX joined World Labs, we said spatial intelligence was never only about perceiving and generating virtual and physical worlds, but also interacting with them. Today, we’re sharing early results from that vision: building worlds that train robots. 🌎🤖↓ https://t.co/U0UKE5n

0:48

327.2K views · 905 likes · 133 reposts · 40 replies Open on X →

Fei-Fei Li ✓@drfeifei21 Jul

@drfeifei Marble's grand entry into the physical world! What a great new home for SceniX and my old labmate @YunzhuLiYZ ! Congrats! 7.7K views · 53 likes · 0 reposts · 4 replies Open on X →

Against accounts of the same size

29 posts from the last 90 days, next to the 1M–10M follower range. shown to more people than peers of the same size.

Median views96 926this account14 648median for 1M–10M

Reach, %9.14%this account0.74%median for 1M–10M

Engagement, %0.74%this account0.70%median for 1M–10M

Metric	This account	Median for 1M–10M	Ratio
Median views per post	96 926	14 648	6.62×
Reach (views ÷ followers)	9.14%	0.74%	12.4×
Engagement rate	0.74%	0.70%	1.06×

Others in this range → Compare with another account → How these benchmarks are built →

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

11.9K2 Sep

11.5K

179

125

483 Sep

740.4K4 Sep

107.6K

96.9K8 Sep

319.4K9 Sep

147.4K15 Sep

124.3K

161.1K18 Sep

99.4K22 Sep

99.6K

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

0.24%2 Sep

1.89%

0.00%

0.80%

0.00%3 Sep

0.14%4 Sep

1.06%

0.99%8 Sep

0.99%9 Sep

0.41%15 Sep

0.74%

1.85%18 Sep

0.18%22 Sep

1.26%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.70%.

What the audience does

Likes60.7%60 499 in total

Reposts6.6%6 615 in total

Replies2.1%2 063 in total

Quotes2.1%2 045 in total

Bookmarks28.5%28 395 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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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