David Chalmers
@eugenevinitsky.bsky.social
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU https://emerge-lab.github.io https://www.admonymous.co/eugenevinitsky
@jfrankle.com
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
@sleepinyourhat.bsky.social
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
@jeffclune.com
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
@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
@dileeplearning.bsky.social
AGI research @DeepMind. Ex cofounder & CTO Vicarious AI (acqd by Alphabet), Cofounder Numenta Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics blog.dileeplearning.com
@egrefen.bsky.social
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.
@mpshanahan.bsky.social
Professor at Imperial College London and Principal Scientist at Google DeepMind. Posting in a personal capacity. To send me a message please use email.
@florasalim.bsky.social
Professor, CSE, UNSW Sydney. #AI #ML #UbiComp #LLM #MFM #timeseries #ST #multimodal #sensors #continuallearning #trustworthyAI ❤️ #coffee Why am I here? Scouting for a new platform to discover and learn new papers (let’s see if it’s the one)
@soniajoseph.bsky.social
AI researcher at Mila, visiting researcher at Meta Also on X: @soniajoseph_
@matijafranklin.bsky.social
Researching AI Alignment and Manipulation. Conduct CogSci experiments
@aashiqmuhamed.bsky.social
Machine Learning PhD at Carnegie Mellon @mldcmu Ex-Applied Scientist @amazon Search & @AWSAI @Stanford & @LTIatCMU MS and @iitroorkee President's Gold Medalist
@stevebyrnes.bsky.social
Researching Artificial General Intelligence Safety, via thinking about neuroscience and algorithms, at Astera Institute. https://sjbyrnes.com/agi.html
@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/
@stanislavfort.bsky.social
AI + security | Stanford PhD in AI & Cambridge physics | techno-optimism + alignment + progress + growth | 🇺🇸🇨🇿
@kartikchandra.bsky.social
I'm a PhD student at MIT CSAIL. More about me: https://cs.stanford.edu/~kach
@xuanalogue.bsky.social
PhD Student. MIT ProbComp / CoCoSci. Inverting Bayesian models of human reasoning and decision-making. Pronouns: 祂/伊
@kabirkumar.bsky.social
I run AI-Plans, an AI Safety lab focused on very precisely evaluating AI Alignment Plans. For several weeks I used a stone for a pillow. I once spent a quarter of my paycheck on cheese. Ping me! DM me! SurpassAI
@peyrardmax.bsky.social
Junior Professor CNRS (previously EPFL, TU Darmstadt) -- AI Interpretability, causal machine learning, and NLP. Currently visiting @NYU https://peyrardm.github.io
@rachel-law.bsky.social
Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me
@ovdw.bsky.social
Technology specialist at the EU AI Office / AI Safety / Prev: University of Amsterdam, EleutherAI, BigScience Thoughts & opinions are my own and do not necessarily represent my employer.
@elianapastor.bsky.social
Assistant Professor at PoliTo 🇮🇹 | Currently visiting scholar at UCSC 🇺🇸 | she/her | TrustworthyAI, XAI, Fairness in AI https://elianap.github.io/
@aliciacurth.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things👀 Interested in the mysteries of modern ML, causality & all of stats. Opinions my own. https://aliciacurth.github.io
@anneo.bsky.social
Comm tech & social media research professor by day, symphony violinist by night, outside as much as possible otherwise. German/American Pacific Northwestern New Englander, #firstgen academic, she/her, 🏳️🌈 https://anne-oeldorf-hirsch.uconn.edu
@lasha.bsky.social
✨On the faculty job market✨ Postdoc at UW, working on Natural Language Processing 🌐 https://lasharavichander.github.io/
@mdhk.net
Linguist in AI & CogSci 🧠👩💻🤖 PhD student @ ILLC, University of Amsterdam 🌐 https://mdhk.net/ 🐘 https://scholar.social/@mdhk 🐦 https://twitter.com/mariannedhk
@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.
@panisson.bsky.social
Principal Researcher @ CENTAI.eu | Leading the Responsible AI Team. Building Responsible AI through Explainable AI, Fairness, and Transparency. Researching Graph Machine Learning, Data Science, and Complex Systems to understand collective human behavior.
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@markriedl.bsky.social
AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Associate Director of ML Center at GT. Time travel expert. Geek. Dad. he/him
@jeku.bsky.social
Postdoc at Linköping University🇸🇪. Doing NLP, particularly explainability, language adaptation, modular LLMs. I‘m also into🌋🏕️🚴.
@annarogers.bsky.social
Associate professor at IT University of Copenhagen: NLP, language models, interpretability, AI & society. Co-editor-in-chief of ACL Rolling Review. #NLProc #NLP
@bharathr98.com
Theoretical physicist at day. ML researcher at night. Currently split between CERN and UniGE. Ex - IISER-M, @caltech.edu https://scholar.google.com/citations?user=8BDAnVAAAAAJ
@kylem.bsky.social
Full of childlike wonder. Building friendly robots. UT Austin PhD student, MIT ‘20.
@jbarbosa.org
Junior PI @ INM (Paris) in computational neuroscience, interested in how computations enabling cognition are distributed across brain areas. Expect neuroscience and ML content. jbarbosa.org
@stephaniebrandl.bsky.social
Assistant Professor in NLP (Fairness, Interpretability and lately interested in Political Science) at the University of Copenhagen ✨ Before: PostDoc in NLP at Uni of CPH, PhD student in ML at TU Berlin
@mdlhx.bsky.social
NLP assistant prof at KU Leuven, PI @lagom-nlp.bsky.social. I like syntax more than most people. Also multilingual NLP, interpretability, mountains and beer. (She/her)
@variint.bsky.social
Lost in translation | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕 variint.github.io
@mimansaj.bsky.social
Robustness, Data & Annotations, Evaluation & Interpretability in LLMs http://mimansajaiswal.github.io/
@christophmolnar.bsky.social
Author of Interpretable Machine Learning and other books Newsletter: https://mindfulmodeler.substack.com/ Website: https://christophmolnar.com/
@stellaathena.bsky.social
I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
@romapatel.bsky.social
research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her) https://roma-patel.github.io
@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. hannamw.github.io