Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social).
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
The National Deep Inference Fabric, an NSF-funded computational infrastructure to enable research on large-scale Artificial Intelligence.
🔗 NDIF: https://ndif.us
🧰 NNsight API: https://nnsight.net
😸 GitHub: https://github.com/ndif-team/nnsight
OpenAI and MIT faculty (on leave)
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian.
Anon feedback: https://admonymous.co/giffmana
📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
PhD supervised by Tim Rocktäschel and Ed Grefenstette, part time at Cohere. Language and LLMs. Spent time at FAIR, Google, and NYU (with Brenden Lake). She/her.
CEO / Founder of https://textualize.io Hyperborean Python expert, author, humanist, husband, sometimes wildlife photographer. Carbonara aficionado. He/him.
Anaconda Founder&Head of AI; created the PyData movement, PyScript, Bokeh, Datashader; Fellow @ Python Software Foundation; Center for Humane Tech
Game~B; Physics, Cybernetics, Memetics. A student of the human condition.
Memento mori
Python, Boston, mathy fun, juggling, autism parenting. https://nedbat.com
Independent AI researcher, creator of datasette.io and llm.datasette.io, building open source tools for data journalism, writing about a lot of stuff at https://simonwillison.net/
The nonprofit organization behind the Python programming language. For help with Python code: http://python.org/about/help/
On Mastodon: @ThePSF@fosstodon.org
Ph.D. in NLP Interpretability from Mila. Previously: independent researcher, freelancer in ML, and Node.js core developer.
Founder & Chief Innovation Officer @ Bluesky
🌱 🪴 🌳
CEO Conjecture.dev - I don't know how to save the world but dammit I'm gonna try
Machine learning haruspex
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef
Writes http://interconnects.ai
At Ai2 via HuggingFace, Berkeley, and normal places
AI, philosophy, spirituality
Head of interpretability research at EleutherAI, but posts are my own views, not Eleuther’s.
Julia is a high-level, dynamic programming language built for technical computing.
Official Bluesky account of the Julia Language Project
#JuliaLang
Independent Mechanistic Interpretability Researcher
PhD @ ETHZ - LLM Interpretability
alestolfo.github.io
Aspiring 10x reverse engineer at Google DeepMind
Scruting matrices @ Apollo Research
machine learning, science & society @anthropic.com | recently: Clio, Anthropic Economic Index, Claude Artifacts | prev: phd, stanford nlp. alextamkin.com
I lead Cohere For AI. Formerly Research
Google Brain. ML Efficiency, LLMs,
@trustworthy_ml.
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
worshipping the shinto god of reality
kipp.ly
AI researcher at XBOW. Security, RE, ML. PGP http://keybase.io/moyix/
Cofounder CEO, Perplexity.ai
Chief Scientist at the UK AI Security Institute (AISI). Previously DeepMind, OpenAI, Google Brain, etc.
Searching for the numinous
Australian Canadian, currently living in the US
https://michaelnotebook.com
Assistant professor at NUS. Scaling cooperative intelligence & infrastructure for an increasingly automated future. PhD @ MIT ProbComp / CoCoSci. Pronouns: 祂/伊
Machine learning in Python • Open Source
https://scikit-learn.org
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Professor at Wharton, studying AI and its implications for education, entrepreneurship, and work. Author of Co-Intelligence.
Book: https://a.co/d/bC2kSj1
Substack: https://www.oneusefulthing.org/
Web: https://mgmt.wharton.upenn.edu/profile/emollick
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
There Is No Antimemetics Division (https://qntm.org/antimemetics) ~ "Lena" ~ Absurdle ~ HATETRIS ~ many other cool things
AI systems and models that are engineered to be interpretable and auditable.
www.guidelabs.ai
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
Computer science, math, machine learning, (differential) privacy
Researcher at Google DeepMind
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
member of technical staff @stanfordnlp.bsky.social
I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
Professor, Programmer in NYC.
Cornell, Hugging Face 🤗
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Author of Interpretable Machine Learning and other books
Newsletter: https://mindfulmodeler.substack.com/
Website: https://christophmolnar.com/
Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
Mathematized philosophy of literature
peligrietzer.github.io
AI @ OpenAI, Tesla, Stanford
Human being. Trying to do good. CEO @ Encultured AI. AI Researcher @ UC Berkeley. Listed bday is approximate ;)
FR/US/GB AI/ML Person, Director of Research at Google DeepMind, Honorary Professor at UCL DARK, ELLIS Fellow. Ex Oxford CS, Meta AI, Cohere.
Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU.
AI is delicious when it is accessible and open-source.
http://soumith.ch
Interested in cognition and artificial intelligence. Research Scientist at Google DeepMind. Previously cognitive science at Stanford. Posts are mine.
lampinen.github.io
Open source developer building tools to help journalists, archivists, librarians and others analyze, explore and publish their data. https://datasette.io […]
[bridged from https://fedi.simonwillison.net/@simon on the fediverse by https://fed.brid.gy/ ]
AI policy researcher, wife guy, fan of cute animals and sci-fi, executive director of AVERI, Substacker
AI safety at Anthropic, on leave from a faculty job at NYU.
Views not employers'.
I think you should join Giving What We Can.
cims.nyu.edu/~sbowman
https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
President of Signal, Chief Advisor to AI Now Institute
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
I train models @ OpenAI.
Previously Research at DeepMind.
Hae sententiae verbaque mihi soli sunt.
policy for v smart things @openai. Past: PhD @HarvardSEAS/@SchmidtFutures/@MIT_CSAIL. Posts my own; on my head be it
Master student at ENS Paris-Saclay / aspiring AI safety researcher / improviser
Prev research intern @ EPFL w/ wendlerc.bsky.social and Robert West
MATS Winter 7.0 Scholar w/ neelnanda.bsky.social
https://butanium.github.io
Postdoc at Northeastern and incoming Asst. Prof. at Boston U. Working on NLP, interpretability, causality. Previously: JHU, Meta, AWS
Interpretable Deep Networks. http://baulab.info/ @davidbau
https://mega002.github.io
Gemini Post-Training ⚫️ Research Scientist at Google DeepMind ⚫️ PhD from ETH Zurich
AI Safety Research // Software Engineering
Postdoc @ Northeastern, @ndif-team.bsky.social w/ @davidbau.bsky.social. Interpretability ∩ HCI ∩ #NLProc. Built @inseq.org. Prev: PhD @gronlp.bsky.social, ML @awscloud.bsky.social
gsarti.com
Waiting on a robot body. All opinions are universal and held by both employers and family. ML/NLP professor.
nsaphra.net
NLP PhD student at Imperial College London and Apple AI/ML Scholar.
Machine learning PhD student @ Blei Lab in Columbia University
Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling!
Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams.
🔗 www.sweta.dev
Machine Learning PhD Student
@ Blei Lab & Columbia University.
Working on probabilistic ML | uncertainty quantification | LLM interpretability.
Excited about everything ML, AI and engineering!
PhD student at Vector Institute / University of Toronto. Building tools to study neural nets and find out what they know. He/him.
www.danieldjohnson.com
official Bluesky account (check username👆)
Bugs, feature requests, feedback: support@bsky.app
