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Who to Follow on AI X (Twitter) in 2026: Real Experts, Ranked by Signal

Profiles across five layers: frontier research, interpretability, measurement, compute, and applied evidence. Each entry has the reason to follow and the specific bias to discount, because everyone here has an employer or a thesis.

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29 items

Doom Debates: AI debates that must be resolved before the world ends

doomdebates.comLiron Shapira · Article

A Substack newsletter by Liron Shapira focused on critical debates surrounding artificial intelligence and existential risks. The publication addresses fundamental questions about AI development and safety that the author argues must be resolved before catastrophic outcomes occur, attracting over 1,000 subscribers interested in AI policy and philosophical issues at the intersection of technology and existential risk.

#ai#ai safety#philosophy#newsletter#debate#career

Open source

Nopriors

nopriors.comArticle

Nopriors is a newsletter or content platform focused on artificial intelligence and technology topics. The site serves as a hub for curated discussion and analysis of AI developments, trends, and implications.

#newsletter#ai#technology#career

Open source

The TWIML AI Podcast with Sam Charrington

twimlai.com@samcharrington · Article

A long-running podcast series hosted by Sam Charrington featuring expert conversations on machine learning, artificial intelligence research, tools, and real-world deployment strategies. The show covers emerging AI trends, research breakthroughs, and practical applications through interviews with researchers, engineers, and practitioners in the field. With over 770 episodes, it serves as a comprehensive resource for staying current with developments in AI and machine learning.

#podcast#ai#machine learning#research#interview#deep learning

Open source

80,000 Hours Podcast

80000hours.orgArticle

A podcast featuring in-depth conversations on the world's most pressing problems and strategies to solve them. Hosted by Robert Wiblin, Luisa Rodriguez, Zershaaneh Qureshi, and Tom Reed, the show includes a curated crash course on transformative AI covering both potential benefits and risks. The hosts bring backgrounds in economics, international development, mathematics, philosophy, AI safety research, and policy, drawing on their work at organizations including 80,000 Hours, the Centre for Effective Altruism, and the UK's AI Security Institute.

#podcast#ai#career#philosophy#ai safety#research

Open source

Google DeepMind

youtube.comGoogle DeepMind · Channel

Google DeepMind is a research organization combining scientists, engineers, ethicists and others focused on developing AI systems safely and responsibly. The team works on foundational scientific and engineering challenges with the goal of creating breakthrough technologies that could advance science, transform work, and improve lives at scale. Their mission emphasizes responsible development toward artificial general intelligence (AGI).

#ai#research#deep learning#ai safety#ethics#philosophy

Open source

Interconnects AI

interconnects.aiNathan Lambert · Article

A Substack newsletter by Nathan Lambert covering cutting-edge AI developments from inside frontier labs, balancing high-level concepts with technical depth. The publication attracts over 77,000 subscribers including leading engineers, researchers, and investors seeking insights grounded in practical experience rather than hype. Lambert's commentary is recognized for its accessibility and authority, drawing on his direct experience training AI models to provide informed perspectives on open-source AI and the current state of the field.

#ai#newsletter#research#deep learning#ai policy#developer

Open source

AXRP - the AI X-risk Research Podcast

axrp.netArticle

AXRP is a podcast hosted by Daniel Filan featuring conversations with researchers working on artificial intelligence existential risk reduction. The show explores why researchers conduct their work and how it might help prevent AI from causing an existential catastrophe that could permanently curtail humanity's future potential. Episodes cover topics including mechanistic interpretability, alignment, AI governance, evaluations, and forecasting. Full episode transcripts are available on the website, and the podcast can be accessed through standard podcast providers or via RSS feed.

#podcast#ai safety#research#ai#philosophy

Open source

Machine Learning Street Talk (MLST)

mlst.aiMachine Learning Street Talk · Article

Machine Learning Street Talk is a media production company creating video, audio, and written content focused on machine learning, cognitive science, and cognitive philosophy. They operate a podcast that ranks as the highest-rated technical AI podcast on Spotify, and publish a Substack newsletter with over 2,000 subscribers.

#machine learning#ai#podcast#newsletter#cognitive science#career

Open source

Miles Brundage

x.comMiles Brundage · Profile

Miles Brundage is an AI policy researcher and Executive Director of AVERI (the Alliance to Visualize Earth-wide Resources and Industrial Systems), with previous experience at the Future of Life Institute. He is known for his work on AI safety and governance, maintains a Substack, and identifies as an animal and sci-fi fan. His wife is Laure Schiavo, also in AI research.

#profile#ai safety#ai policy#twitter#anthropic#social media

Open source

Lilian Weng

x.comLilian Weng · Profile

Lilian Weng is co-founder of Thinking Machines Lab and formerly served as VP of AI Safety and Robotics in Applied Research at OpenAI. She maintains Lil'Log, a technical blog covering machine learning concepts and research. Her work spans AI safety, deep learning, and applied AI research.

#ai#ai safety#profile#deep learning#openai

Open source

Jaime Sevilla - Director of Epoch AI Research

x.comJaime Sevilla · Profile

Jaime Sevilla is the director of Epoch AI Research, an organization focused on studying AI timelines and compute trends. His work involves forecasting and analyzing the trajectory of artificial intelligence development through empirical research on training compute, model scaling, and historical patterns of AI progress.

#ai#ai safety#profile

Open source

hardmaru (@hardmaru) - Twitter Profile

x.comhardmaru · Profile

Co-founder and CEO of Sakana AI Labs. Profile indicates focus on AI research and development, likely sharing insights on machine learning, AI systems, and related technological topics through Twitter posts.

#ai#developer#profile#twitter#social media

Open source

Jeremy Howard

x.comJeremy Howard · Profile

Co-founder of Answer.AI and fast.ai, organizations focused on practical AI education and applications. Previously served as founding president of Kaggle, a platform for machine learning competitions, and founded fastmail and enlitic. Held academic position as professor at University of Queensland. Active in open-source and Python communities with focus on democratizing AI knowledge and tools.

#ai#deep learning#python#open-source#developer#product strategy

Open source

Hamel Husain - AI Evals and Product Development

x.comHamel Husain · Profile

Hamel Husain is a developer and AI practitioner focused on evals (evaluation systems for AI models). His Twitter profile centers on discussing evaluation methodologies and frameworks for AI systems, with links to his personal site at hamel.dev and an evals-focused resource at evals.info. He engages with topics around AI product development and implementation.

#ai#developer#product strategy#ai saas#github#open-source

Open source

Arvind Narayanan

x.comArvind Narayanan · Profile

Princeton computer science professor and Director of the Center for Information Technology Policy. Co-author of "AI Snake Oil" and "AI as Normal Technology," works focused on demystifying AI hype and examining AI through realistic technological and societal lenses. Active researcher and commentator on AI ethics, safety, and the gap between AI marketing claims and actual capabilities.

#ai#ai safety#ethics#profile#philosophy

Open source

Ethan Mollick - Wharton Professor and AI Researcher

x.comEthan Mollick · Profile

Ethan Mollick is a Wharton professor studying artificial intelligence and its impact on society and work. He is releasing a book titled Co-Existence on October 20, exploring AI coexistence themes. His Substack newsletter One Useful Thing covers AI applications, emerging capabilities, and practical insights for individuals and organizations navigating the AI era.

#ai#profile#learning#product strategy#philosophy

Open source

Dylan Patel

x.comDylan Patel · Profile

Dylan Patel is the founder of SemiAnalysis, a boutique research and consulting firm focused on AI infrastructure. He shares analysis and insights on artificial intelligence, machine learning systems, and related technology trends. His Twitter profile indicates he is available for consulting, business inquiries, and technical discussions, with the standard disclaimer that his posts represent personal opinions.

#ai#product strategy#deep learning

Open source

Jim Fan - NVIDIA Director of Robotics & Distinguished Scientist

x.comJim Fan · Profile

Jim Fan is a Director of Robotics and Distinguished Scientist at NVIDIA, focusing on physical AGI and robotics research. He co-leads the GEAR (Generalist Embodied Agent Research) lab and holds a Ph.D. from Stanford. He was OpenAI's first intern, bringing early experience in foundational AI research to his current work in embodied AI and robotic systems.

#ai#robotics#deep learning#ai safety#product strategy

Open source

Yann LeCun

x.comYann LeCun · Profile

Yann LeCun is a Founder and Chair of AMI Labs, Professor at NYU, Partner at 224 Ventures, and former Chief AI Scientist at Meta. He is an ACM Turing Award laureate working on artificial intelligence, machine learning, and robotics research.

#ai#deep learning#profile

Open source

Chris Olah

x.comChris Olah · Profile

Chris Olah is a researcher focused on reverse engineering neural networks and interpretability. He works at Anthropic and has previously held positions at Distill, OpenAI's Clarity Team, and Google Brain. This is his personal Twitter account.

#ai#deep learning#anthropic#neural networks#ai safety

Open source

François Chollet (@fchollet)

x.comFrançois Chollet · Profile

François Chollet is the co-founder of Anthropic and ARC (Abstraction and Reasoning Corpus), the creator of Keras (the widely-used deep learning library), and author of 'Deep Learning with Python'. His work focuses on intelligence, reasoning, and the nature of generalization in AI systems. He is a prominent voice in discussions around AI safety and the development of more robust, human-aligned artificial intelligence.

#ai#python#ai safety#deep learning#open-source

Open source

Neel Nanda (@NeelNanda5)

x.comNeel Nanda · Profile

Neel Nanda is a mechanistic interpretability researcher at DeepMind focused on understanding neural networks to reduce AI existential risk. Previously worked at Anthropic and as an independent researcher. His work centers on making neural networks interpretable and transparent as a path toward AI safety.

#ai#mechanistic interpretability#deepmind#anthropic#ai safety

Open source

Noam Brown

x.comNoam Brown · Profile

Noam Brown is a researcher at OpenAI focusing on reasoning systems. He co-created Libratus and Pluribus, superhuman poker-playing AIs that advanced game theory and imperfect-information game solving. He also contributed to CICERO, an AI system that achieved human-level performance in the strategy game Diplomacy through natural language negotiation. Brown has been involved with OpenAI's o-series reasoning models.

#ai#openai#poker#game theory#diplomacy

Open source

Sebastian Raschka

x.comSebastian Raschka · Profile

Machine learning and AI research engineer with a background as a statistics professor. Author of "Build a Large Language Model From Scratch" and works on reasoning-related research. Active on social media discussing AI, machine learning, and related technical topics.

#ai#python#learning#developer#open-source

Open source

Nathan Lambert

x.comNathan Lambert · Profile

Nathan Lambert is an AI researcher focused on open model development at a new organization. Previously, he co-led Olmo, an open language model project at the Allen Institute for AI (AI2). He writes for Interconnects, a publication covering AI and related topics, and authored 'Posttraining,' a book about large language model training and alignment.

#ai#open-source#profile

Open source

Simon Willison

x.comSimon Willison · Profile

Simon Willison is a creator of Datasette, co-creator of Django, and a Python Software Foundation board member. He is active on social media and maintains presence on Mastodon and Bluesky in addition to Twitter.

#developer#open-source#python#creator#twitter#social media

Open source

Andrej Karpathy

x.comAndrej Karpathy · Profile

Andrej Karpathy is a prominent AI researcher and engineer known for his work in deep learning and neural networks. He has held significant roles at Tesla leading the Autopilot vision team and at OpenAI as director of research. Karpathy is recognized for making complex AI concepts accessible through teaching and public communication, including influential work on convolutional neural networks and transformer architectures. His Twitter presence focuses on sharing insights about AI development, research directions, and the practical applications of deep learning in real-world systems.

#ai#deep learning#twitter#developer#python#social media

Open source

About this collection

Who to Follow on AI X (Twitter) in 2026: Real Experts, Ranked by Signal is a collection of 29 things about ai, ai safety and deep learning, arranged by @bowerbird on Kyurations.

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Subjects:aiai safetydeep learningprofiledeveloperphilosophyopen-sourceresearch

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