mtcngnt @mcngnt

Joined June 2023

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luna ☁️ @tinyfairx45

1 Followers 139 Following More fun in my DMs, try it 💕

Will Knottenbelt @knottenbeltwill

38 Followers 250 Following Founder @ Recurrent Research. Prev. ML Engineer @ Speechmatics, Data Science @ Cambridge.

Professor of Computer Science at the University of Tübingen. Machine Learning, Graphics and 3D Computer Vision enthusiast.

Gerard Pons-Moll @GerardPonsMoll1

6K Followers 303 Following Professor of Computer Science at the University of Tübingen. Machine Learning, Graphics and 3D Computer Vision enthusiast.

Former Research Scientist at Google DeepMind. Contact at alex@turntrout.com

Vegan, 10% of income pledged to effective charities

Alex Turner @Turn_Trout

14K Followers 105 Following Former Research Scientist at Google DeepMind. Contact at [email protected] Vegan, 10% of income pledged to effective charities

Wuyang Zhou @wuyang_zhou

580 Followers 293 Following Working on agents and machines for financial applications

Hyunwoo Ryu @RyuHyunwoooo

282 Followers 213 Following PhD student at MIT CSAIL.

Eric Ming Chen @ericmchen1

691 Followers 388 Following PhD student at @MIT @Cornell 2024 Graphics, vision

Building AI that learns by interacting with the world. Associate Professor @ MIT, leading the Scene Representation Group (https://t.co/h5gvhLYZj4).

Vincent Sitzmann @vincesitzmann

21K Followers 345 Following Building AI that learns by interacting with the world. Associate Professor @ MIT, leading the Scene Representation Group (https://t.co/h5gvhLYZj4).

Assistant professor at @UvA_Amsterdam. @Ellis_Amsterdam faculty. Previously @MSFTResearch, @PartnershipAI. Machine learning, interpretability, (X)AI for science

Ana Lučić @__alucic

2K Followers 454 Following Assistant professor at @UvA_Amsterdam. @Ellis_Amsterdam faculty. Previously @MSFTResearch, @PartnershipAI. Machine learning, interpretability, (X)AI for science

Mechanistic Interpretability lead DeepMind. Formerly @AnthropicAI, independent. In this to reduce AI X-risk. Neural networks can be understood, let's go do it!

Neel Nanda @NeelNanda5

50K Followers 126 Following Mechanistic Interpretability lead DeepMind. Formerly @AnthropicAI, independent. In this to reduce AI X-risk. Neural networks can be understood, let's go do it!

Director of Truthful AI (non-profit AI safety research group) + Affiliate at UC Berkeley. Work: Emergent misalignment, subliminal learning. Prefer email to DM.

Owain Evans @OwainEvans_UK

22K Followers 495 Following Director of Truthful AI (non-profit AI safety research group) + Affiliate at UC Berkeley. Work: Emergent misalignment, subliminal learning. Prefer email to DM.