Julius Adebayo
ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social).
@davidpicard.bsky.social
Computer Vision/Machine Learning research Imagine/LIGM, École nationale des Ponts et Chaussées @ecoledesponts.bsky.social Music & overall happiness 🌳🪻 Born well below 350ppm 📍Paris 🔗 https://davidpicard.github.io/
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@gtconway.bsky.social
Recovering lawyer who may relapse at any moment. President, Society for the Rule of Law. Co-host of the “George Conway Explains It All” podcast on The Bulwark.
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@yoavgo.bsky.social
@vdean.bsky.social
Asst. Prof. @ Olin College of Engineering | CMU, MIT alum | reinforcement learning, AI ethics, equity and justice, baking | ADHD 💖💜💙
@jasonweston.bsky.social
Senior Director, Research Scientist @ Meta FAIR + Visiting Prof @ NYU. Pretrain+SFT: NLP from Scratch (2011). Multilayer attention+position encode+LLM: MemNet (2015). Recent (2024): Self-Rewarding LLMs & more!
@tmlr-pub.bsky.social
TMLR Homepage: https://jmlr.org/tmlr/ TMLR Infinite Conference: https://tmlr.infinite-conf.org/
@amakelov.bsky.social
Mechanistic interpretability Creator of https://github.com/amakelov/mandala prev. Harvard/MIT machine learning, theoretical computer science, competition math.
@ncfrey.bsky.social
Principal Scientist & Group Leader at Prescient Design • Genentech. Advisor to Atomic Data Sciences & Guide Labs ncfrey.github.io
@sedielem.bsky.social
Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
@adjiboussodieng.bsky.social
Academic at Princeton University. Leading @vertaix.bsky.social on research at the intersection of AI and the natural sciences. Founder of @theafricaiknow.bsky.social. Research Scientist at Google DeepMind.
@asalamismail.bsky.social
Research Scientist @prescientdesign @Genentech Former PhD @umdcs ayaismail.com
@msftresearch.bsky.social
We advance science and technology to benefit humanity. http://microsoft.com/research
@franknoe.bsky.social
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
@science.org
The world's leading outlet for cutting-edge research in all areas of science. https://www.science.org
@teorth.bsky.social
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/
@sbordt.bsky.social
Understanding LLMs. Interpretable Machine Learning. Postdoc @ Uni Tuebingen. https://sbordt.github.io/
@pyquantnews.bsky.social
Where finance practitioners get started with Python for quant finance, algorithmic trading, and data analysis | Posts with free Python code & tools. Subscribe: http://pyquantnews.com/subscribe
@jacobeisenstein.bsky.social
natural language processing and computational linguistics at google deepmind.
@andreasmadsen.bsky.social
Ph.D. in NLP Interpretability from Mila. Previously: independent researcher, freelancer in ML, and Node.js core developer.
@zed.dev
A next-generation code editor that enables high-performance collaboration with AI and your team. zed.dev
@lesiasemenova.bsky.social
Postdoctoral Researcher at Microsoft Research • Incoming Faculty at Rutgers CS • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/
@sarah-nlp.bsky.social
Research in LM explainability & interpretability since 2017. sarahwie.github.io Postdoc @ai2.bsky.social & @uwnlp.bsky.social PhD from Georgia Tech Views my own, not my employer's.
@thomasfel.bsky.social
Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard. Prev. PhD @Brown, @Google, @GoPro. Crêpe lover. 📍 Boston | 🔗 thomasfel.me
@jasmijn.uk
Senior Research Scientist at Google DeepMind. Interested in (equitable) language technology, gender, interpretability, NLP. Views my own. She/her. 🌐 https://jasmijn.uk
@eml-munich.bsky.social
Institute for Explainable Machine Learning at @www.helmholtz-munich.de and Interpretable and Reliable Machine Learning group at Technical University of Munich and part of @munichcenterml.bsky.social
@karenhao.bsky.social
ai reporter & author. national magazine award & american humanist media award winner. words in The Atlantic. formerly WSJ, MIT Tech Review, KSJ@MIT. email: http://karendhao.com/contact. pre-order my book EMPIRE OF AI, out May 20, 2025: empireofai.com
@thaottn.bsky.social
PhD student @ UW & visiting researcher @ MetaAI. Previously Google Brain resident & Stanford'19. Curating better training data for language & multimodal models. https://thaonguyen19.github.io/
@besmiranushi.bsky.social
AI/ML, Responsible AI, Technology & Society @MicrosoftResearch
@adoubleva.bsky.social
Researcher at Google DeepMind | organizer afciworkshop.org | research interests: causality, algorithmic fairness
@jheer.org
UW Computer Science Professor. Data, visualization & interaction. UW Interactive Data Lab, Vega, Ex-Trifacta. Sometimes Seattle, manchmal Berlin.
@wattenberg.bsky.social
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
@jskirzynski.bsky.social
PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.
@crmarsh.com
Building Astral: Ruff, uv, and other high-performance Python tools, written in Rust.
@hylandsl.bsky.social
machine learning for health at microsoft research, based in cambridge UK 🌻 she/her
@haldaume3.bsky.social
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.
@guidelabs.bsky.social
AI systems and models that are engineered to be interpretable and auditable. www.guidelabs.ai
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@natolambert.bsky.social
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef Writes http://interconnects.ai At Ai2 via HuggingFace, Berkeley, and normal places