@aclrollingreview.bsky.social
ACL Rolling Review (https://aclrollingreview.org) Tweets by the ARR Communications / Support Team
@dlcountdown.bsky.social
Bot. I daily tweet progress towards machine learning and computer vision conference deadlines. Maintained by @chriswolfvision.bsky.social
@mihainica.bsky.social
Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath
@anthropic.com
We're an Al safety and research company that builds reliable, interpretable, and steerable Al systems. Talk to our Al assistant Claude at Claude.ai.
@ian-goodfellow.bsky.social
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Chronically ill: bilateral Ménière’s disease + long COVID. Founding chairman of www.publichealthactionnetwork.org
@alltechishuman.bsky.social
Our organization is committed to tackling thorny tech & society issues and co-creating a tech future aligned w/ the public interest. Join us at AllTechIsHuman.org | [email protected]
@cientificolatino.com
A STEM 501(c)(3) organization for ALL students from underserved communities. Making information & mentorship accessible. Check out our site for help w/ grad apps! 🌟 www.cientificolatino.com
@alexanderhoyle.bsky.social
Postdoctoral fellow at ETH AI Center, working on Computational Social Science + NLP. Previously a PhD in CS at UMD, advised by Philip Resnik. Internships at MSR, AI2. he/him alexanderhoyle.com
@xkianteb.bsky.social
Assistant Professor at Harvard | Fitness enthusiast | (He/Him/His)
@dhadfieldmenell.bsky.social
Assistant Prof of AI & Decision-Making @MIT EECS I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL. I work on value (mis)alignment in AI systems. https://people.csail.mit.edu/dhm/
@kgajos.bsky.social
Professor of computer science at Harvard. I focus on human-AI interaction, #HCI, and accessible computing.
@upolehsan.bsky.social
🎯 Making AI less evil= human-centered + explainable + responsible AI 💼 Harvard Berkman Klein Fellow | CS Prof. @Northeastern | Data & Society 🏢 Prev-Georgia Tech, {Google, IBM, MSFT}Research 🔬 AI, HCI, Philosophy ☕ F1, memes 🌐 upolehsan.com
@benburtenshaw.bsky.social
Building tools for AI datasets. 😽 Looking in AI datasets. 🙀 Sharing clean open AI datasets. 😻 at https://bsky.app/profile/hf.co
@howard.fm
https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
@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
@vaidehipatil.bsky.social
Ph.D. Student at UNC NLP | Prev: Apple, Amazon, Adobe (Intern) vaidehi99.github.io | Undergrad @IITBombay
@diatkinson.bsky.social
PhD student at Northeastern, previously at EpochAI. Doing AI interpretability. diatkinson.github.io
@michaelwhanna.bsky.social
PhD Student at the ILLC / UvA doing work at the intersection of (mechanistic) interpretability and cognitive science. Current Anthropic Fellow. hannamw.github.io
@thomasfel.bsky.social
Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard. Prev. PhD @Brown, @Google, @GoPro. Crêpe lover. 📍 Boston | 🔗 thomasfel.me
@dilya.bsky.social
PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany dilyabareeva.github.io
@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
@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!
@swetakar.bsky.social
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
@joestacey.bsky.social
NLP PhD student at Imperial College London and Apple AI/ML Scholar. My research is on model robustness and interpretability. #NLP #NLProc
@dashiells.bsky.social
Machine learning haruspex || Norbert Weiner is dead so we should just call it "cybernetics" now
@nsaphra.bsky.social
Waiting on a robot body. All opinions are universal and held by both employers and family. Recruiting students to start my lab! ML/NLP/they/she.
@gsarti.com
PhD Student at @gronlp.bsky.social 🐮, core dev @inseq.org. Interpretability ∩ HCI ∩ #NLProc. gsarti.com
@niklasstoehr.bsky.social
Research Scientist at Google DeepMind and PhD Student at ETH Zurich
@amuuueller.bsky.social
Postdoc at Northeastern and incoming Asst. Prof. at Boston U. Working on NLP, interpretability, causality. Previously: JHU, Meta, AWS
@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
@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/
@fedeadolfi.bsky.social
Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science https://fedeadolfi.github.io
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@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
@nsubramani23.bsky.social
PhD student @CMU LTI - working on model #interpretability; prev predoc @ai2; intern @MSFT nishantsubramani.github.io