@cgpotts.bsky.social
Stanford Professor of Linguistics and, by courtesy, of Computer Science, and member of @stanfordnlp.bsky.social and The Stanford AI Lab. He/Him/His. https://web.stanford.edu/~cgpotts/
@davidrmortensen.bsky.social
I make colorless green GPUs sleep brrriously. Computational phonology, morphology, language change models, speech/language technologies (especially for people with disabilities).
@weissweiler.bsky.social
Postdoc at UT Austin Linguistics with Kyle Mahowald | PhD from LMU Munich, prev. Princeton, @ltiatcmu.bsky.social, Cambridge | computational linguistics (esp. construction grammar, morphosyntax, morphology) leonieweissweiler.github.io
@danieldk.eu
Machine Learning, Natural Language Processing, LLM, transformers, macOS, NixOS, Rust, C++, Python, Cycling. Working on inference at Hugging Face 🤗. Open source ML 🚀.
@witko.bsky.social
I’m a people person who supports our team as they work to democratize AI at Hugging Face 🤗 I live in Sacramento, by way of Brooklyn. Winter is better here.
@tomaarsen.com
Sentence Transformers, SetFit & NLTK maintainer Machine Learning Engineer at 🤗 Hugging Face
@nsarrazin.com
Building HuggingChat (hf.co/chat) for @hf.co Maintainer @ Serge 🦙 Interested in FOSS, local-first and self-hosted software. 🧡 Svelte, Tauri, local AI and much more. nsarrazin.com
@paulbuerkner.com
Full Professor of Computational Statistics at TU Dortmund University Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams Website: https://paulbuerkner.com Opinions are my own
@bayesflow.org
Amortized Bayesian Workflows in Python. 🎲 Post author sampled from a multinomial distribution, choices ⋅ @marvinschmitt.bsky.social ⋅ @paulbuerkner.com ⋅ @stefanradev.bsky.social 🔗GitHub github.com/bayesflow-org/bayesflow 💬Forum discuss.bayesflow.org
@stefanradev.bsky.social
Assistant Professor at Rensselaer Polytechnic Institute (RPI) Bayesian | Computational guy | Name dropper | Deep learner | Book lover Opinions are my own.
@akariasai.bsky.social
Ph.D. student at University of Washington CSE. NLP. IBM Ph.D. fellow (2022-2023). Meta student researcher (2023-) . ☕️ 🐕 🏃♀️🧗♀️🍳
@merve.bsky.social
proud mediterrenean 🧿 open-sourceress at hugging face 🤗 multimodality, zero-shot vision, vision language models, transformers
@giffmana.ai
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
@ai2.bsky.social
Breakthrough AI to solve the world's biggest problems. › Join us: http://allenai.org/careers › Get our newsletter: https://share.hsforms.com/1uJkWs5aDRHWhiky3aHooIg3ioxm
@yoshitomo-matsubara.net
Research Scientist at Yahoo! / ML OSS developer PhD in Computer Science at UC Irvine Research: ML, NLP, Computer Vision, Information Retrieval Technical Chair: #CVPR2025 #ICCV2025 Open Source/Science matters! https://yoshitomo-matsubara.net
@lateinteraction.bsky.social
Incoming asst professor at MIT EECS, Fall 2025. Research scientist at Databricks. CS PhD @StanfordNLP.bsky.social. Author of ColBERT.ai & DSPy.ai.
@butanium.bsky.social
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
@dashiells.bsky.social
Machine learning haruspex || Norbert Weiner is dead so we should just call it "cybernetics" now
@velezbeltran.bsky.social
Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!
@ddjohnson.bsky.social
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
@amakelov.bsky.social
Mechanistic interpretability Creator of https://github.com/amakelov/mandala prev. Harvard/MIT machine learning, theoretical computer science, competition math.
@ajyl.bsky.social
Post-doc @ Harvard. PhD UMich. Spent time at FAIR and MSR. ML/NLP/Interpretability
@martinagvilas.bsky.social
Computer Science PhD student | AI interpretability | Vision + Language | Cogntive Science. https://martinagvilas.github.io/
@wordscompute.bsky.social
nlp/ml phding @ usc, interpretability & reasoning & pretraining & emergence 한american, she, iglee.me, likes ??= bookmarks
@apepa.bsky.social
Assistant Professor, University of Copenhagen; interpretability, xAI, factuality, accountability, xAI diagnostics https://apepa.github.io/
@kayoyin.bsky.social
PhD student at UC Berkeley. NLP for signed languages and LLM interpretability. kayoyin.github.io 🏂🎹🚵♀️🥋
@jkminder.bsky.social
CS Student at ETH Zürich, currently doing my masters thesis at the DLAB at EPFL Mainly interested in Language Model Interpretability. Most recent work: https://openreview.net/forum?id=Igm9bbkzHC MATS 7.0 Winter 2025 Scholar w/ Neel Nanda jkminder.ch
@ericwtodd.bsky.social
CS PhD Student, Northeastern University - Machine Learning, Interpretability https://ericwtodd.github.io
@wendlerc.bsky.social
Postdoc at the interpretable deep learning lab at Northeastern University, deep learning, LLMs, mechanistic interpretability
@vedanglad.bsky.social
ai interpretability research and running • thinking about how models think • prev @MIT cs + physics
@jonling.bsky.social
Assistant Professor @HopkinsMedicine @JHUPath https://scholar.google.com/citations?user=dGBD72YAAAAJ
@jaom7.bsky.social
Associate Professor @UAntwerp, sqIRL/IDLab, imec. #RepresentationLearning, #Model #Interpretability & #Explainability A guy who plays with toy bricks, enjoys research and gaming. Opinions are my own idlab.uantwerpen.be/~joramasmogrovejo
@pranav.bsky.social
Research Scientist at Google DeepMind. ಕನ್ನಡಿಗ. Past: Researchoor, Algorithms team at OpenAI & with Juergen Schmidhuber.