Neel Nanda
neelnanda-io
Mechanistic interpretability researcher at Google DeepMind. Formerly at Anthropic, formerly independent
Google DeepMind London
OATML
OATML
Oxford Applied and Theoretical Machine Learning Group
Department of Computer Science, University of Oxford
Lars Kellogg-Stedman
larsks
System administration and software development. I like automation. Working with Python, Containers, Kubernetes, Ansible, &c. Easily distracted by shiny objects.
@RedHatOfficial
Gabriele Corso
gcorso
PhD student @ MIT • Research on Machine Learning and Geometric Representation Learning • Previously intern @ Twitter Research, D.E. Shaw and IBM
MIT
Atılım Güneş Baydin
gbaydin
Probabilistic Programming, Deep Learning, Artificial Intelligence
University of Oxford Oxford, United Kingdom
Ryan Huang
ryanphuang
Associate Professor at UMich. Enjoy building and researching computer systems.
University of Michigan Ann Arbor
Prof Richard Xu 徐亦达教授
roboticcam
I am a Professor at the Department of Mathematics, Hong Kong Baptist University (HKBU) 香港浸会大学数学系教授
Department of Mathematics, Hong Kong Baptist University 香港浸会大学数学系 Hong Kong
Christopher Olah
colah
I want to understand things clearly and explain them well. Interpretability at Anthropic. Formerly OpenAI, Google Brain.
Anthropic San Francisco
Jamie Bernardi
j-bernardi
Hobbyist coder/builder. I'm an ex-machine learning engineer who dabbled in alignment research. I now work in AI governance.
Alex Reed
areed1192
My background is in finance but stumbled upon programming and have been doing it ever since.
San Diego