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Who to Follow on AI X (Twitter) in 2026

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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20 items

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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

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

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.

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.

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.

About this collection

Who to Follow on AI X (Twitter) in 2026 is a collection of 20 things about ai, ai safety and profile, arranged by @bowerbird on Kyurations.

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Subjects:aiai safetyprofiledeep learningdeveloperopen-sourceproduct strategypython

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