People in AI

Andrej Karpathy

Researcher

Commented that good context engineering is what sets AI apps apart in response to discussions about context engineering for AI.

Yann LeCun

Researcher

Chief AI Scientist at Meta

Keynoted MIT symposium, arguing that the most exciting advances in generative AI will come from 'world models' rather than continued improvements to large language models.

Richard Sutton

Researcher

Authored The Bitter Lesson, stating that general methods leveraging computation are most effective in AI research.

Ilya Sutskever

Researcher

OpenAI

His deposition exposed significant internal power struggles at OpenAI involving leadership conflicts and coordinated efforts to remove Sam Altman.

Experimented with agent teams where multiple Claude instances work in parallel on shared codebases, tasking 16 agents with writing a Rust-based C compiler from scratch.

Co-authored essay 'Welcome to the Era of Experience' proposing new paradigm of training AI models through reinforcement learning via interaction with environments.

Co-authored essay 'Welcome to the Era of Experience' proposing new paradigm of training AI models through reinforcement learning via interaction with environments.

Oriol Vinyals

Researcher

VP of Research at Google DeepMind

Credited improving pre-training and post-training for Gemini 3's massive performance improvements, stating the delta between 2.5 and 3.0 is the biggest Google has ever seen with no scaling walls in sight.

Aditya Challapally

Researcher

Lead Author and Research Contributor at MIT NANDA

Led MIT research showing 95% of enterprise generative AI pilots are failing and explained the reasons for the GenAI divide.

Asked in 1950 whether machines can think, a question that launched the field of Artificial Intelligence.

Henry Sleight

Researcher

MATS and Anthropic Fellows program

Contributed to research evaluating AI models' ability to exploit blockchain smart contracts and discover zero-day vulnerabilities.

Venezuelan economist whose framework on technological revolutions and financial cycles (Installation vs. Deployment phases) is used as the theoretical lens for analyzing the current AI market dynamics

Erik Brynjolfsson

Researcher

Unknown

Co-authored paper finding substantial declines in employment for early-career workers in AI-exposed occupations.

OpenAI alum who oversees Meta Superintelligence Labs, credited as cocreator of ChatGPT, GPT-4, mini models, 4.1, and o3 at OpenAI.

Jeff Dean

Researcher

Chief Scientist at Google

Discussed Google's comprehensive energy measurements for Gemini AI prompts in exclusive interview with MIT Technology Review.

Boaz Barak

Researcher

Researcher and Professor at OpenAI and Harvard

Expressed mixed feelings about Sora 2, noting it's technically amazing but premature to celebrate avoiding social media pitfalls.

Soumith Chintala

Researcher

Thinking Machines Lab

Creator of PyTorch who left Meta to join Mira Murati's AI startup Thinking Machines Lab.

Yejin Choi

Researcher

Researcher at Together AI

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Federico Bianchi

Researcher

Researcher at Stanford

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Jan Kautz

Researcher

Researcher at NVIDIA

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Mert Yuksekgonul

Researcher

Researcher at Stanford

Co-authored TTT-Discover, a reinforcement learning system that allows LLMs to continue training at test time for specific problems.

Joanne Jang

Researcher

Founding Leader of Model Behavior Team at OpenAI

Moving to start new OAI Labs research team responsible for inventing new interfaces for human-AI collaboration.

Timothy Jenkins

Researcher

Medical Biotechnologist at Technical University of Denmark

Led research using AI to build a molecular navigation system for cancer-fighting immune cells, designing proteins with AI models.

Cole Killian

Researcher

MATS and Anthropic Fellows program

Co-led research project on AI agents exploiting smart contracts, developing the SCONE-bench benchmark comprising 405 exploited contracts.

Co-led research project investigating AI agents' ability to exploit smart contracts on blockchain, establishing economic impact of AI cyber capabilities.

Maja Trębacz

Researcher

OpenAI

Co-authored research on automated code review as part of the Codex team, discussing how giving the reviewer repo-wide tools improves recall and precision.

Eric Drexler

Researcher

Argued at EA Global 2018 that we should use new AI data to rethink models for how superintelligent AI is likely to emerge and function, and discussed AI safety with Marvin Minsky around 1990.

Greg Burnham

Researcher

Senior Researcher at Epoch AI

Explained FrontierMath benchmark for measuring AI mathematical reasoning capabilities and discussed AI's advancement in solving PhD-level math problems.

Max Schwarzer

Researcher

Post Training Lead at OpenAI

Now oversees the Model Behavior team as part of OpenAI's research reorganization.

Participated in Anthropic Fellows research on AI models exploiting smart contracts and quantifying economic harm.

Marc Brooker

Researcher

Wrote about LLMs as parts of systems and how systems built with LLMs and tools can do things that LLMs alone cannot do.

Led the study on using AI models to predict which chronic kidney disease patients will develop end-stage renal disease.

Ken Goldberg

Researcher

Professor at UC Berkeley

Gave a talk about the huge question of the 'robot data gap' in training robot foundation models.

Ajay K. Agrawal

Researcher

NBER

Co-authored research examining how recent AI developments reduce costs of prediction tasks and their impact on decision-making and productivity.

Alan Chan

Researcher

MATS and Anthropic Fellows program

Participated in research on AI cyber capabilities and smart contract exploitation using Claude and GPT models.

Jakob Nielsen

Researcher

PhD

Nielsen made 18 predictions for 2026 regarding AI, stating that accelerating AI capabilities will shift focus from raw intelligence to autonomous agents and Generative UI.

Served as chairman of Eric Drexler's doctoral committee and discussed AI safety issues around 1990.

Senior author of study using generative AI to design novel antibiotics that can combat drug-resistant bacteria.

Called AI chatbots a 'privacy disaster in progress' regarding exposed Grok conversations appearing in search results.

Explained that agentic AI is built on the same models as gen AI but has the ability to perform tasks on users' behalf.

Commented on AI tools solving Erdos mathematical problems autonomously, noting many had already been solved in the literature.

David Deming

Researcher

Economist at Harvard University

Co-authored an NBER working paper analyzing 1.5 million ChatGPT conversations to track consumer usage patterns and economic value creation.

Listed as speaker at The Curve conference on AI policy and strategy

Max Tegmark

Researcher

Future of Life Institute

Founder of Future of Life Institute; inspired Babuschkin to launch his VC firm through a dinner conversation about safe AI development.

Mentioned as one of the researchers who pioneered GPU-based deep learning by using NVIDIA GPUs for ImageNet in 2012.

David

Researcher

Acquired podcast

Co-host of Acquired podcast who produced the Google AI episode with Ben.

Her creativity theory framework (value, novelty, surprise dimensions) is central to analyzing LLM creativity

Her original conception of machine creativity is referenced as a philosophical benchmark

Postdoctoral researcher in Hutter's team who explains the robot training and challenges in a video

Study senior author and MIT professor who emphasizes the importance of understanding problem fundamentals over deploying large AI models for climate science.

Lead author of the study, former MIT postdoc now at IBM Research studying climate prediction models.

Senior author and MIT oceanography professor, co-director of the Lorenz Center studying climate modeling.

Co-author and assistant professor studying climate modeling techniques.

Quoted philosophy observation about weekends that frames the article's approach to stepping back from specifications

Featured in the AlphaGo vs. Lee Sedol match where Move 37 was played, illustrating the difference between human and AI decision-making.

Professor of Robotic Systems leading the team that developed the badminton-playing robot control system.

Author of 1994 paper 'Intelligent Agents: Theory and Practice' cited for historical context on the definitional problem with agents

Quoted in Wooldridge's paper remarking that 'what is an agent?' is embarrassing for the agent-based computing community

American astronomer after whom the platform is named, credited with discoveries about the universe

David Faber

Researcher

CNBC

CNBC journalist who reported the fundraising details and related xAI news

Host conducting interview with Brendan Foody about AI training, knowledge work, and future of expertise.

Referenced as a benchmark for AI model capability improvement in economically valuable tasks.

Creative lead at Every who praises Sora as the first truly entertainment/storytelling generative model with narrative capabilities

Yue Yu

Researcher

Meta Superintelligence Labs

Co-authored research on training AI co-scientists using rubric rewards.

Martin Jaggi

Researcher

Professor of Machine Learning at EPFL

Member of Steering Committee of Swiss AI Initiative that released Apertus, a fully open AI model.

Adam Tauman Kalai

Researcher

OpenAI

Author of OpenAI research paper on hallucinations in language models, used as example where chatbot incorrectly cited his PhD dissertation and birthday.

Da-Cheng Juan

Researcher

Research Lead at Google Research

Co-introduced SLED, a decoding strategy that enhances the accuracy of LLMs by aligning their output with the model's intrinsic knowledge.

Achieved the highest score on ARC-AGI v1 (79.6%) and v2 (29.4%) using multi-agent collaboration with evolutionary test-time compute.

Cyrus Rashtchian

Researcher

Research Scientist at Google Research

Co-introduced SLED, a decoding strategy that enhances the accuracy of LLMs by aligning their output with the model's intrinsic knowledge.

Ashish Kumar

Researcher

Research Scientist at Meta

Left Tesla after leading the Optimus AI team for more than two years to join Meta, having focused on scalable methods using reinforcement learning and learning from videos.

Previously led strategic explorations team at OpenAI, now leads research at Meta Superintelligence Labs after being recruited by Zuckerberg.

John Hallman

Researcher

Pretraining Researcher at OpenAI

Expressed concern about AI-based feeds when OpenAI released the Sora 2 social media app but supported the team's approach.

Jakub Pachocki

Researcher

Chief Scientist at OpenAI

Described OpenAI's AI researcher goal as a system capable of autonomously delivering on larger research projects and discussed the path to superintelligence.

Authored research on NCCLX collective communication framework for 100k+ GPUs to optimize LLM training and inference.

Yi Tay

Researcher

Research Scientist at Google DeepMind

Praised Gemini 3 Pro on social media, stating it's the best model in the world by a wide margin.

Michaela Hinks

Researcher

FutureHouse

Co-author of the Kosmos AI Scientist technical report for autonomous discovery.

Jan Leike

Researcher

Alignment Researcher at Anthropic

Former OpenAI Superalignment lead who stated that alignment researchers at Anthropic are deeply involved in post-training and capability work for Opus 4.5.

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Carlos Guestrin

Researcher

Researcher at Stanford

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

James Zou

Researcher

Researcher at Stanford

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Xiaolong Wang

Researcher

Researcher at UC San Diego

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Thang Luong

Researcher

Google DeepMind

Co-authored Aletheia, an AI system for autonomous mathematics research achieving several research milestones.

Co-authored Aletheia, a math research agent that generated an AI-authored research paper on eigenweights in arithmetic geometry.

Co-introduced VaultGemma and conducted research on scaling laws for differentially private language models in partnership with Google DeepMind.

Alexia Jolicoeur-Martineau

Researcher

Research Scientist at Samsung SAIL Montreal

Proposed Tiny Recursive Model (TRM) achieving higher generalization than large language models on reasoning tasks with only 7M parameters.

Sam Bowman

Researcher

Alignment Researcher at Anthropic

Stated that alignment researchers are involved in every part of training at Anthropic without a clear split between alignment research and applied finetuning.

Described Apertus as a driver of innovation for strengthening AI expertise in research, society and industry.

Co-authored announcement of Google's new AI system designed to help scientists write expert-level empirical software.

Led development of K2 Think reasoning model that rivals OpenAI and DeepSeek at fraction of the size.

Wenxian Shi

Researcher

PhD Student at MIT CSAIL

Lead author of VaxSeer research, creating an AI system using deep learning to predict dominant flu strains and identify protective vaccine candidates.

Quentin Carbonneaux

Researcher

Meta FAIR CodeGen Team

Contributed to the development and release of Code World Model for advancing code generation with world models.

Presented novel approach to time-series forecasting using in-context fine-tuning for foundation models.

Jade Copet

Researcher

Meta FAIR CodeGen Team

Part of the team that released Code World Model (CWM), a 32-billion-parameter open-weights LLM for code generation research.

Co-developed Speech-to-Retrieval (S2R) for voice search that bypasses text transcription.

Unveiled Speech-to-Retrieval (S2R) technology that directly interprets spoken queries without text conversion.

Kishwar Shafin

Researcher

Technical Lead at Google Research

Co-authored research on DeepSomatic, an AI-powered tool that identifies cancer-related mutations in tumor genetic sequences.

Co-authored research on DeepSomatic, an AI tool using convolutional neural networks to identify tumor variants.

Bolei Zhou

Researcher

Professor and Chief AI Scientist at UCLA and Coco Robotics

Joined Coco Robotics to lead their new physical AI research lab focusing on computer vision and robotics for micromobility.

Alex Shaw

Researcher

Co-created Terminal-Bench and Harbor framework for testing and improving AI agents in containerized environments.

Haotong Lin

Researcher

Lead author on Depth Anything 3, a model that predicts spatially consistent geometry from visual inputs.

Equal contribution author on Depth Anything 3 for monocular and multi-view depth estimation.

Richard Turner

Researcher

Professor of Machine Learning at University of Cambridge

Led research on Aardvark Weather, a new AI weather prediction approach that enables accurate forecasts with dramatically less computing power.

Bingyi Kang

Researcher

Project lead for Depth Anything 3, advancing visual geometry prediction models.

Albin Cassirer

Researcher

OpenAI

Co-authored research on automated code review systems that complement chain-of-thought monitoring and other safety work.

Co-authored research on training dedicated agentic code reviewers for gpt-5-codex and gpt-5.1-codex-max.

Co-authored research on practical output monitoring for autonomous collaborative coding systems as part of the Codex team.

Co-authored research on scaling code verification and training a dedicated, agentic code reviewer for gpt-5-codex.

Ali Behrouz

Researcher

Student Researcher at Google Research

Co-introduced the Titans architecture and MIRAS framework for helping AI models have long-term memory.

Vahab Mirrokni

Researcher

VP and Google Fellow at Google Research

Co-introduced the Titans architecture and MIRAS framework for helping AI models have long-term memory.

Listed as a contributor to the Nomos 1 model.

Jeffrey Quesnelle

Researcher

Nous Research

Listed as a contributor to the Nomos 1 model for mathematical problem-solving.

Co-introduced the Titans architecture and MIRAS framework for helping AI models have long-term memory.

Roger Jin

Researcher

Nous Research

Listed as a contributor to the Nomos 1 model, an open-source 30B model for mathematical reasoning.

Kunal Handa

Researcher

Anthropic

Led research using Anthropic Interviewer to conduct AI-powered qualitative interviews with 1,250 professionals about working with AI.

Alexander Knop

Researcher

Research Scientist at Google Research

Co-authored URANIA, a differentially private framework for gaining insights into AI chatbot use.

Daogao Liu

Researcher

Post Doc Researcher at Google Research

Co-authored URANIA, a differentially private framework for gaining insights into AI chatbot use.

Co-authored work on a Gemini tool that provides automated feedback for theoretical computer scientists at STOC 2026.

David Woodruff

Researcher

Research Scientist at Google Research

Co-authored work on a Gemini tool that provides automated feedback for theoretical computer scientists at STOC 2026.

Stated that in nature the most energy efficient way things work is how they actually work, in context of AI's energy demands.

Oliver Cameron

Researcher

Authored analysis on Odyssey-2 Pro as a nascent world simulator that learns to predict how the world evolves over time.

Submitted research paper on WebGym, the largest open-source environment for training visual web agents with nearly 300,000 tasks.

Lead author on NitroGen, an open foundation model for generalist gaming agents trained on internet video gameplay data.

Sarah Alamdari

Researcher

Senior Applied Scientist at Microsoft Research

Lead author of research on AI model for designing peptides for cancer detection.

Ava Amini

Researcher

Principal Researcher at Microsoft Research

Senior author of study on AI-designed peptides for cancer detection, former graduate student in Bhatia's lab.

Introduced GIST, a novel algorithm for selecting high-quality data subsets that maximizes both data diversity and data utility.

Co-introduced GIST algorithm at NeurIPS 2025 for balancing data diversity and utility in machine learning datasets.

Co-authored article on the state of on-device LLMs in 2026, covering techniques for model compression and deployment.

Vikas Chandra

Researcher

Co-authored article on the state of on-device LLMs in 2026, discussing advances in running billion-parameter models on mobile devices.

Randall Balestriero

Researcher

Brown University

Co-authored a paper with Yann LeCun introducing LeJEPA for self-supervised vision training.

Alexander Wei

Researcher

Google DeepMind

Stated that IMO Gold capability was reached through general-purpose reinforcement learning and test-time compute scaling rather than task-specific methodology.

Jerry Tworek

Researcher

OpenAI

Commented that OpenAI did very little IMO-specific work and focused on training general models in natural language.

Sara Hooker

Researcher

Conducted research on diminishing returns from AI scaling that was cited in discussions about AI quality limitations.

Mohit Iyyer

Researcher

University of Maryland

Co-authored How2Everything framework for mining web procedures to evaluate LLMs.

Kyle Lo

Researcher

Allen Institute for AI

Co-authored How2Everything framework for evaluating LLM procedural generation capabilities.

Co-authored CausalArmor framework for defending AI agents against prompt injection attacks.

Amanda Askell

Researcher

Anthropic

Was targeted by Elon Musk in discussions around safety at xAI and Anthropic.

Yapei Chang

Researcher

Allen Institute for AI

Co-authored How2Everything framework for mining and evaluating procedural generation in LLMs.

Dawn Song

Researcher

SafeRL-Lab (UC Berkeley)

Co-authored AgenticPay, a framework for studying language-mediated economic interaction among AI agents.

Summer Yue

Researcher

Director of Alignment at Meta

Tested OpenClaw AI agent which went out of control and attempted to delete her emails despite instructions to stop.

Stephan Rabanser

Researcher

Princeton University

Works on trustworthy machine learning with focus on uncertainty quantification and AI agent reliability evaluation.

Part of the team that developed CWM, an LLM trained with world modeling for improved code generation.

Thomas Malone

Researcher

Professor and Director at MIT Center for Collective Intelligence

Led research finding that AI-human combinations do not outperform the best human-only or AI-only system on average.

Luca Soldaini

Researcher

Allen Institute for AI

Co-authored How2Everything framework for evaluating and improving LLM procedure generation.

Applied interpretability methods to understand how an AI model detects Alzheimer's disease from blood samples and identified fragmentomics as a novel biomarker class.

Karolis Misiunas

Researcher

Research Engineer at Google DeepMind

Introduced an innovative end-to-end speech-to-speech translation model enabling real-time translation with only 2-second delay.

Joe Carlsmith

Researcher

Wrote an essay series on solving the AI alignment problem, discussing the importance of building AIs that do human-like philosophy.

Led study demonstrating AI voice agents improved accuracy of blood pressure monitoring for older adults with hypertension.

Commented that AI-designed proteins showcase the power of AI models for synthetic protein design and will generate new therapeutics beyond cancer.

Sam Paech

Researcher

AI Researcher

Posed the key question about context that helped transform the AI Diplomacy demo by shifting the approach to telling LLMs a story rather than force-feeding them game data.

Co-authored research on quantifying human-AI synergy using novel Bayesian framework.

AI researcher who left Meta Superintelligence Labs in July after working there for five months.

Led research on GenAI in education demonstrating a novel approach to reimagining textbooks with improved learning outcomes.

Co-authored research introducing a Bayesian Item Response Theory framework to quantify human-AI synergy.

Fiona Strens

Researcher

Professor at University of Lincoln

Leads the university's centre for defence and security artificial intelligence and discussed applying AI from food production industries to defense problems.

Co-authored research on the state of AI showing how organizations are rewiring to capture value from gen AI through structural and process changes.

Avi Goldfarb

Researcher

NBER

Co-authored research examining how recent AI developments reduce costs of prediction tasks and their impact on decision-making and productivity.

Lareina Yee

Researcher

McKinsey

Co-authored research on the state of AI showing how organizations are rewiring to capture value from gen AI through structural and process changes.

Joshua S. Gans

Researcher

NBER

Co-authored research examining how recent AI developments reduce costs of prediction tasks and their impact on decision-making and productivity.

Michael Chui

Researcher

McKinsey

Co-authored research on the state of AI showing how organizations are rewiring to capture value from gen AI through structural and process changes.

Co-authored research analyzing 370 unique effect sizes from 106 experiments evaluating human-AI collaboration performance.

Bartosz Naskręcki

Researcher

Co-authored analysis on how AI tools are reshaping mathematical research and discovery.

Co-authored research on the state of AI showing how organizations are rewiring to capture value from gen AI through structural and process changes.

Alex Singla

Researcher

McKinsey

Co-authored research on the state of AI showing how organizations are rewiring to capture value from gen AI through structural and process changes.

Ken Ono

Researcher

Co-authored analysis on how AI is transforming mathematical practice and problem-solving.

Martin Maas

Researcher

Research Scientist at Google DeepMind

Co-presented LAVA, a new AI-powered scheduling algorithm for optimizing virtual machine allocation in cloud data centers.

Co-presented LAVA, a new AI-powered scheduling algorithm for optimizing virtual machine allocation in cloud data centers.

Sebastian Raschka

Researcher

Published analysis of LLM architecture alternatives including linear attention hybrids, text diffusion, and code world models.

Nate Soares

Researcher

MIRI

Co-authored the book 'If anybody builds it everyone dies' about AGI safety concerns.

Hao-Ping (Hank) Lee

Researcher

Carnegie Mellon University

Led research on the impact of Generative AI on critical thinking among knowledge workers.

Advait Sarkar

Researcher

Microsoft Research

Co-authored research measuring how GenAI affects critical thinking and cognitive effort in knowledge workers.

Kazunari Sasaki

Researcher

Clinical Professor of Abdominal Transplantation at Stanford University

Senior author on a study developing a machine learning model that predicts organ donor viability, reducing futile procurements by 60%.

Scott Hosking

Researcher

Director of Science and Innovation for Environment and Sustainability at Alan Turing Institute

Co-author on the Aardvark Weather research published in Nature, demonstrating AI's potential to transform weather forecasting.

Contributed to DA3-Streaming for ultra-long video sequence inference with sliding-window streaming.

Mafalda Dias

Researcher

Researcher at Center for Genomic Regulation

Co-corresponding author of study on popEVE, an AI model that identifies disease-causing mutations in human proteins using evolutionary data.

Co-authored research on Anthropic Interviewer studying how professionals integrate AI into their work.

Cameron R. Wolfe

Researcher

Provided a comprehensive overview and deep dive analysis of OLMo 3, a fully-open large language model.

Created the Perceptron in 1957, the first neural network assembled from motors, wires, and photocells.

Lead author of research paper on AI-designed molecular sensors for cancer detection.

Jed McCaleb

Researcher

Astera Institute

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Ray Kurzweil

Researcher

Computer Scientist and Futurist

Predicted that artificial general intelligence would be achieved by 2029 and humans will achieve a millionfold intelligence by 2045 aided by brain interfaces with nanobots.

Co-author on research applying AI interpretability to Pleiades epigenetic foundation model for Alzheimer's detection from cell-free DNA.

Shangding Gu

Researcher

SafeRL-Lab (UC Berkeley)

Co-authored AgenticPay benchmark for evaluating multi-agent LLM negotiation systems.

Co-authored AgenticPay, a multi-agent LLM negotiation system for buyer-seller transactions.

Alex Lupsasca

Researcher

Vanderbilt University and OpenAI

Co-authored a preprint on theoretical physics that GPT-5.2 helped derive.

Minbeom Kim

Researcher

Seoul National University

Co-authored CausalArmor, a defense framework against indirect prompt injection attacks on AI agents.

Eliezer Yudkowsky

Researcher

MIRI

Co-authored 'If anybody builds it everyone dies' book and has oscillated between believing only he can build safe AGI and that anyone building AGI will kill everyone.

Sangeeta Bhatia

Researcher

John and Dorothy Wilson Professor of Health Sciences and Technology and of Electrical Engineering and Computer Science at MIT

Senior author of study using AI to design molecular sensors for early cancer detection.

Lead author of study using generative AI algorithms to design compounds with antimicrobial properties.

Melis Anahtar

Researcher

Former Postdoc at MIT

Lead author of study using generative AI to design novel antibiotics.

Jacqueline Valeri

Researcher

PhD at MIT

Lead author of study using generative AI to design compounds that can kill drug-resistant bacteria.

Patrik Bächtiger

Researcher

Researcher at Imperial College London

Developed AI-led stethoscope that can detect three heart conditions in 15 seconds.

Co-authored study analyzing what devtools Claude Code chooses across 2,430 real repos.

Aidan McLaughlin

Researcher

Research Scientist at OpenAI

Publicly criticized OpenAI's Pentagon partnership deal on social media.

Alex Vikati

Researcher

Co-authored study analyzing what devtools Claude Code chooses across 2,430 real repos.

Tomas Pueyo

Researcher

Posted viral image on X outlining vision of AI frontier growth outpacing jaggedness despite uneven capabilities.

Stefano Ermon

Researcher

Stanford University

Advised both Yang Song and Shengjia Zhao during their PhDs at Stanford University.

Co-authored research on the critical role of strategic workforce planning in the age of AI and how gen AI has increased uncertainty about workforce skills.

Co-authored research on the critical role of strategic workforce planning in the age of AI and how gen AI has increased uncertainty about workforce skills.

Vincent Bérubé

Researcher

McKinsey

Co-authored research on the critical role of strategic workforce planning in the age of AI and how gen AI has increased uncertainty about workforce skills.

Working on AI imaging techniques to detect defects in semiconductor chips during manufacturing.

Cognitive scientist who helped define reinforcement learning concepts in computational terms through collaborative discussion.

Eirini Kalliamvakou

Researcher

Research Advisor at GitHub

Leads research that deciphers developers' motivations, needs, behavior, and how tools support them, with insights shaping product thinking and strategic decisions.

Provided practical insights for more effective prompting, covering four main pillars of query optimization: expansion, decomposition, disambiguation, and abstraction.

Reviewed Anthropic's Claude Opus 4.5 model's capabilities in generating prompts from multiple reference images and visual workflows.

Eiji Watanabe

Researcher

Associate Professor of Neurophysiology at National Institute for Basic Biology

Explained how deep neural networks can be used in illusion research to simulate how the brain processes information.

Created a detachable robotic hand design published in Nature Communications that can grasp objects on both sides and operate autonomously.

Co-developed the detachable robotic hand that can crawl, grasp objects, and reattach to its arm autonomously.

Lukasz Olejnik

Researcher

Authored analysis on supply-chain risks of agentic AI and skill worms that can infect infrastructures.

Co-authored a preprint on gluon amplitudes derived with GPT-5.2 assistance.

Co-authored a preprint on gluon amplitudes that was derived with assistance from GPT-5.2.

Andrew Strominger

Researcher

Harvard University

Co-authored a theoretical physics preprint that was derived with GPT-5.2.

Rick Dakan

Researcher

Professor

Developed the 4D AI Fluency Framework in collaboration with Anthropic to define 24 specific behaviors that exemplify safe and effective AI use.

Co-developed the 4D AI Fluency Framework with Rick Dakan in collaboration with Anthropic to help define AI fluency behaviors.

Gina Neff

Researcher

Professor of Responsible AI at Queen Mary University of London

Expressed concerns about AI systems making up answers to please users, particularly for sensitive questions.

Paul van der Boor

Researcher

Prosus

Said OpenClaw marks an inflection point for AI agents when several puzzle pieces clicked together.

Provided the metaphor of AI as a sidekick to UX professionals that speeds up the process and strengthens results.

Stated that white-collar jobs are more likely to have a high degree of transformation from generative AI compared to blue-collar jobs.

Kate

Researcher

Asked LinkedIn followers for recommendations on how UX professionals who haven't used AI in their work should get started with it.

Participated in experiment and discussion about using AI chatbots to help managers with decision-making and strategy.

Participated in discussion about AI Co-Thinkers experiment with Capgemini for management tasks.

Recently discussed the topic of why AI writing quality remains mediocre.

Martin Kleppmann

Researcher

Published a prediction that AI will make formal verification go mainstream in software engineering.

Used Gemini 3 Deep Think to review a highly technical mathematics paper and identified a subtle logical flaw that had previously passed through human peer review unnoticed.

Posed the question that led to brainstorming and writing a scenario about the 2028 Global Intelligence Crisis related to AI's economic impacts.

Senior lecturer who leads the research on Topographical Sparse Mapping and discusses efficiency improvements in AI neural networks.

Writer who documented the sensory experience of being in the anechoic chamber.

China tech expert expressed skepticism about backdoor claims, citing lack of detail in announcement.

Author who accused Anthropic of copyright infringement in 2024 lawsuit over AI training data

Referenced as a general game playing AI model that has achieved superhuman performance in games.

Author who accused Anthropic of copyright infringement in 2024 lawsuit over AI training data

Co-author discussing attribution graphs and interpretability methods as analogous to understanding biology

Organizer of the CVPR 2025 Workshop Challenge on few-shot object detection

Author who accused Anthropic of copyright infringement in 2024 lawsuit over AI training data

Co-author on attribution graphs and interpretability landscape analysis

Organizer of the CVPR 2025 Workshop Challenge on few-shot object detection

Psychologist credited with popularizing the concept of emotional intelligence (EQ) and its role in leadership and decision-making.

Author sharing personal observations on AI adoption and workflow redesign based on BCG research

Conducted study on humble leadership and its workplace benefits; expert in moral-based leadership styles

Co-author on interpretability research and circuit tracing in LLMs

Organizer of the CVPR 2025 Workshop Challenge on few-shot object detection

Finance leader and influencer quoted on AI adoption in financial planning, comparing it to Excel's impact 40 years ago.

Quoted on the concept that a business reliant on its owner has a built-in deadline.

Referenced for hedonic calculus philosophy in tradition of algorithmic/objective rule

Co-author and principal investigator; contact for licensing inquiries

Commentator on OpenAI's marketing framing of GPT-5

Conducted decades of field work on performance management systems and organizational behavior

Referenced for historical philosophical tradition of rule by the wiser through philosopher-kings concept

Principal researcher at MIT quoted on unprecedented wealth creation speed in AI over 100 years of data.

Lead author of the relighting research presented at SIGGRAPH 2025

Commenter on Sam Altman's announcement tweets

Co-author of paper studying ChatGPT's impact on stock trading volume and price informativeness

Co-author from University of Waterloo contributing to OpenCUA framework

Tibor

Researcher

Unknown

Security researcher who spotted the OpenAI Agent mode code changes indicating browser integration

Coroner who conducted autopsy and reported preliminary findings of cardiac arrhythmia

Managed to extract details of GPT-5's hidden system prompt through reverse engineering

Gillian Follett

Researcher

AdAge

AdAge reporter who tweeted about fake headline falsely attributed to her name

Co-author of paper studying ChatGPT's impact on stock trading volume and price informativeness

Co-author from Stanford University contributing to OpenCUA research

Listed as speaker at The Curve conference on AI governance and policy

Co-author of the Thyme research paper on executable code reasoning for vision tasks

Astronomer and co-author on the study who discusses AI's role in discovering hidden explosions.

Co-author of the article analyzing RL task procurement economics

Posted comparison study between Nano Banana Pro and GPT-Image-1.5

Co-author affiliated with Moonshot AI involved in OpenCUA development

Listed as speaker at The Curve conference on AI governance and policy

Co-author of paper studying ChatGPT's impact on stock trading volume and price informativeness

Co-author of the Thyme research paper on executable code reasoning for vision tasks

Co-author of the Thyme research paper on executable code reasoning for vision tasks

Source who brought the paper to the author's attention

Prior work showing LLMs leverage latent task vectors for Word2Vec-like vector arithmetic in ICL tasks

Released and developed the Seed-OSS-36B open source LLM models on Hugging Face

Corresponding author leading OpenCUA framework research at XLANG Lab

Co-author of the Thyme research paper on executable code reasoning for vision tasks

Co-author of the Thyme research paper on executable code reasoning for vision tasks

Research director argues fundamentals remain strong but pockets of speculative overvaluation exist

Co-author; Epoch AI observed transcript length growth trends at 5x per year

Co-authored documentation of Perceptron limitations in 1969 alongside Minsky.

Co-authored the Transformer architecture paper in 2017 that shifted focus from images to sequences.

Used GPT-5.1-Codex-Max to find and responsibly disclose a React vulnerability

Co-researcher with Hinton and Sutskever on the foundational ImageNet GPU experiment in 2012.

Co-host of Acquired podcast who produced episode on Google as an AI company and shared the Greg Corrado quote.

Economics director commenting on stronger-than-expected November GDP growth and business confidence post-Budget

Chief economist analyzing accelerating economic activity and consumer spending trends

Prominent researcher cited as excited and hopeful about effects of AI-assisted proofs

Released SpecBundle Phase 1 and SpecForge v0.2 for production-ready speculative decoding

Tejasvi's mother quoted explaining how her daughter's research into scams targeting seniors led to the Shield Seniors project.

Tested Atlas browser and demonstrated its shopping capabilities within five minutes of downloading

Editor/reviewer who was unable to test Atlas on plane WiFi during early access

Referenced for prior Nemotron-CC work that was followed up on in the new dataset release

Security researcher who discovered and documented image scaling prompt injection attacks against Google Gemini

Co-researcher who documented image scaling attacks and data exfiltration techniques against AI systems

Co-author of DeepConf paper on parallel thinking methods for LLM reasoning

Co-author of paper 'RAG MCP' on applying RAG to tool descriptions for LLMs

Co-author of paper 'RAG MCP' on applying RAG to tool descriptions for LLMs

Quoted on problems with users not being informed that shared chats appear in search results and lack of data transparency.

Introduced a variant of the preferential attachment process in a 2012 COLT open problem

Mentioned as a thought leader contributing to context engineering research and best practices.

Mentioned as a thought leader contributing to context engineering research and best practices.

German physicist whose 1891 speech on creative process inspired Wallas's four-stage model of creativity

Referenced for his quote on inspiration as being struck by lightning in a thunderstorm

Quoted on the experience of beginning a novel and feeling the work exists beyond words

Cited as a critic famous for non-probabilistic adjectives in artistic criticism

Referenced via Joyce Carol Oates for her creative process beginning with images rather than plot

Quoted discussing Joan Didion's creative process

Example of an artist making low-probability choices with African masks in Les Demoiselles d'Avignon

Cited for low-probability creative choices with footnotes in Infinite Jest

AI doctorate who created JAPE (Joke Analysis and Production Engine) after four years of analyzing punning riddles.

Missing hiker whose body was found using AI-powered drone technology after 10 months in the Italian Alps

Security researcher who demonstrated a prompt injection attack using poisoned documents and hidden malicious prompts.

Co-author and advisor to Boston Consulting Group on AI strategy

Co-author studying effects of AI on knowledge worker productivity and quality

Co-author researching AI impact on knowledge work

Co-author from BCG contributing to field experimental research

Professor cited in the report disputed how her research was attributed to support claims

Academic expert who analyzed the fake citations and hypothesized AI use based on the pattern of errors

Senior researcher explaining Epoch AI's methodology for estimating datacenter power consumption through cooling infrastructure analysis.

Psychology professor who has spent his career studying perfectionism and developed assessment questionnaires for it.

Flett's longtime collaborator who co-authored books and peer-reviewed papers on perfectionism and its psychological effects.

Conducted security research discovering prompt injection vulnerabilities in AI agents and developed AgentHopper proof-of-concept

Gordon Flett's elder daughter whose personal experience with perfectionism became a key case study in understanding how perfectionism manifests differently across developmental stages.

Urban theorist whose 2005 book 'Planet of Slums' chronicled the rise of million-person cities in the developing world and life in global slums.

Lead author on research studying representational convergence across scientific foundation models

Leaked information about Google's new Nano Banana 2 Flash model on X, with a track record of leaking Gemini models

Lead researcher on the AI stethoscope project, discusses the breakthrough and 15-second diagnostic capability.

ESET researcher who discovered PromptLock, the first known AI-written ransomware, and discusses its capabilities and implications.

Futurist credited with coining the term 'Protopia' as a framework for imagining better futures.

Machine-learning scientist who left Meta after a few weeks on the job.

Former OpenAI researcher who completed Meta's onboarding but did not show up for his first day.

Clinical director at BHF commenting on the AI stethoscope as an elegant upgrade to traditional diagnostic tools and emphasizing importance of early diagnosis.

Published 'Programming in the Age of Abundance' blog arguing that AI will lead to software expansion across industries

Co-author of the survey on LLM reasoning frontiers

Co-author contributing to the survey on LLM reasoning methodologies

Co-author and corresponding author on the LLM reasoning survey

Co-author from NTU and I2R contributing to reasoning survey

Wrote a post suggesting a slowdown in job-finding for recent college graduates as a sign of AI job destruction.

Co-authored research finding no detectable effect of AI on recent employment trends across most exposure measures.

Co-authored research finding no detectable effect of AI on recent employment trends across most exposure measures.

Co-authored paper on employment effects of AI on early-career workers.

Co-authored paper on employment effects of AI on early-career workers.

Created the preferred AI exposure measure used in the EIG research from 2021.

Author of the original piece being republished about AI's impact on professional work and 'zero-AI' policies

Haitian-born model who portrayed Mavis Beacon in marketing materials but was not credited or compensated fairly.

Lead vocalist whose name inspired the fictional character Mavis Beacon.

Behavioral economist who conducted research on habit formation and explains why the 21-day myth persists.

Senior lecturer in psychology and co-director of the Habit Application and Theory group discussing individualized habit-building timelines.

Plastic surgeon whose 1960 observation about 21-day recovery became the origin of the popular habit formation myth.

Lead AI researcher in robotics who departed Apple for Meta Robotics Studio

Reliable leaker who provided pricing claims for Hollow Knight: Silksong before official confirmation

Study co-author who explained that lung xenotransplantation presents unique biological and technical challenges and clarified the experiment's goal was to investigate immune response, not claim clinic

Scientist who worked with Lawrence Roberts and successfully sent messages on the first packet-switching network in 1969

Psychology professor whose persuasion framework (Influence: The Psychology of Persuasion) was used by researchers to test AI manipulation tactics

Foundational Models researcher at Apple who joined OpenAI

Foundational Models researcher at Apple who joined OpenAI

Foundational Models researcher at Apple who joined Anthropic

Senior large language model researcher who moved from Apple to Meta in June

Cited for 2025 research on AI systems accused of manipulating elections and reproducing human biases

Author of 'Weapons of Math Destruction' (2016) discussing how algorithms can harm society

Presented 2024 scoping review mapping ethical principles underlying development and use of AI

Study lead author who described ChatGPT and Gemini responses to suicide questions as 'extremely alarming'

Chief strategist analyzing China-India relations and U.S. influence in geopolitical context

Co-author of EmbeddingGemma research paper and model development

Co-author of Robix research paper on robot reasoning and planning

Writer and creator who developed Codex Vitae concept for personal operating manual that Miller adapted

Picked up on the Agent Lab thesis which was updated on Latent Space

Pioneer in systems analysis who developed theories about leverage points in complex systems and created the world model for the Club of Rome.

Lead author of Limits to Growth; environmental systems analyst and professor at Dartmouth College until her death in 2001.

Co-author of Limits to Growth; professor emeritus of Systems Policy and winner of 2009 Japan Prize for sustainability contributions.

Co-author of Limits to Growth; professor of Climate Strategy and former deputy director general of World Wide Fund for Nature.

Author of AI 2027 essay; previously made predictions about AI development that proved accurate but social impact predictions were not directionally correct.

Referenced for 1996 analysis of semiconductor industry profit cycles during economic downturns.

Author of research on reverse-engineered reasoning for LLMs at ByteDance

Philosopher whose work on technology and everyday life is used to frame the article's argument about unintended consequences of convenience technology.

18-year-old spectator who expressed belief that robots will reach human-level capability within 10 years

Featured the author's article about San Francisco tech workers

Ph.D. student who co-authored the study and discussed how integrated clinical and claims data improves predictive accuracy for kidney disease outcomes.

Co-developed the AI-based weather model for monsoon prediction in India and provided historical context on forecasting advances.

AI expert who teamed with Berkeley atmospheric scientist to evaluate and deploy global AI weather models for localized predictions.

Philosopher and educator whose 1940 book 'How to Read a Book' provided philosophical framework for understanding deeper reading.

Author whose post initiated the discussion on AI-driven hard drive demand and storage market pressures

Presenter of Microsoft/Carnegie-Mellon study on datacenter carbon emissions for storage

Lead author of study on storage emissions comparing SSD and HDD environmental impact

Published report analyzing Nvidia's Rubin CPX and its competitive implications for AMD and the inference market

Joined OpenAI in June 2025 from Stanford University, worked on humanoid robotics benchmarks and projects

AKB48's current band leader chosen by Akimoto to perform lead vocals on his song 'Cécile'.

AKB48 newcomer selected by AI to perform 'Omoide Scroll' based on her emotional storytelling abilities.

Led research study evaluating generative AI search engines and deep research agents for source reliability and bias.

Survey cited showing 87% of executives report skill gaps and only 28% of companies feel equipped to address them

World-class Go player quoted remarking about AlphaGo feeling like playing against an alien

Frames Claude Code as Claude Computer, an alien intelligence with human tools capable of generalized tasks

IBM researcher contributing data storage trends analysis on NAND, HDD and tape storage

IBM researcher contributing data storage trends analysis on NAND, HDD and tape storage

Leading AI authority who moved from UCLA to China in 2020, pioneering research on pattern recognition that helped lay groundwork for modern AI systems like ChatGPT.

Principal consultant and security analyst at ISG commenting on how AI is transforming the cybersecurity landscape and client demands.

Cybersecurity expert leading efforts to better identify and combat deepfake images

Lead author of research paper analyzing limitations of in-context learning in autoregressive models

Co-author on Code World Model research paper

DeepMind researchers developed and released the Frontier Safety Framework version 3.0 exploring AI safety risks.

Study co-author and professor of language and translation technologies who led development of the AI transcription system for UK Supreme Court hearings.

Chair of neuroscience department who praised the research as a historic achievement in neuroscience, though not involved in the study.

Security researcher who discovered cross-agent privilege escalation attacks and coined the term to describe exploits where multiple coding agents can escalate each other's privileges

Discussing implications of 10GW AI training runs and model size scaling

Co-author on Code World Model research paper

Director of UCL Huntington's Disease Centre who led the research and described the 75% disease slowing results as 'spectacular'.

Authors of Punica paper on multi-tenant LoRA serving cited for inference optimization work

Authors of original LoRA paper published in 2021 that established the foundational technique

Authors of research on LoRA performance showing underperformance in pre-training-like settings

Co-author of the research agenda paper on economics of transformative AI

Original formulator of Unix Philosophy principles cited to explain Claude Code's design approach

Chemistry group at Stanford used Tinker to fine-tune models for chemistry reasoning tasks

Quoted discussing how machine learning fundamentally changes system security posture

Co-author of NitroGen research on generalist gaming agents

Co-author of NitroGen research project

MIT Sloan assistant professor and lead researcher who quoted on conditions when human-AI combinations work best.

Showalter Professor collaborating on the chip defect detection project

Professor of Mathematics contributing to the defect detection research team

Professor of Nuclear Engineering participating in the chip defect detection project

Argonne scientist collaborating on the AI imaging defect detection research

University of Arizona researcher participating in the semiconductor defect detection project

Late actor and comedian whose likeness is being used in AI-generated deepfake videos without consent from his family.

Quoted expressing surprise that AI-human combinations underperform compared to best single systems.

Contributing researcher to the strategic workforce planning research

Contributing researcher to the strategic workforce planning research

Co-researcher cited for definition of AI software systems that make decisions requiring human expertise

Co-researcher cited for definition of AI software systems that make decisions requiring human expertise

Writer who quipped that the economy is 'three AI data centers in a trench coat'

Co-authored joint study on data poisoning vulnerabilities in large language models

Collaborated on research investigating LLM poisoning attacks and backdoor vulnerabilities

Called AI a 'peak bubble' in commentary cited in the article

Dartmouth professor cited for his work on U.S. tariff policy history and the three Rs framework

Law professor discussing how attorney communications could reveal OpenAI's state of mind regarding infringement.

Law professor analyzing OpenAI's internal communications as potential bargaining leverage for settlement negotiations.

Led research study on peppermint's effect on alertness in people with colds; explained the mechanism and findings.

Introduced the Recursive Language Model (RLM) concept in October 2025

Quoted articulating the critique that LLMs are 'impressive probability gadgets' that lack true understanding

Framework developer cited for bubble analysis methodology

Lead author of study on odd radio circles discovery; director of RAD@home Astronomy Collaboratory citizen science project

Conducted research collaboration on C2S-Scale 27B model for single-cell analysis and cancer therapy discovery

Co-author of the BCG study on AI ROI and value generation

Ex-DeepMind researcher quoted on the value of play for intelligence development: 'Play is to intelligence what mutation is to evolution.'

Mathematician who maintains the Erdos Problems website corrected OpenAI's misrepresentation of the findings.

OpenAI researcher acknowledged that only solutions already in literature were found, not new discoveries.

Author of Neuromancer (1984), referenced for conceptualizing C2-less malware with autonomous objectives

Cited for independent economic estimate measuring ChatGPT consumer surplus at nearly $100 billion per year

Co-author of the BCG study on AI ROI and value generation

Co-author of the BCG study on AI ROI and value generation

Historical example of an amateur scientist (composer/organist) who discovered Uranus

Historical example of an amateur scientist (politician) who laid foundation for modern chemistry

NIHR director for research discussing young people's lack of awareness about participating in health research.

Co-author of research showing reinforcement learning may not be necessary for LLM reasoning tasks

Authors of 'Ransomware 3.0: Self-Composing and LLM-Orchestrated' research paper on PromptLock

Co-author of announcement about Google's Quantum Echoes algorithm breakthrough

Author of 'The Mythical Man-Month' (1975), cited for the 'chief programmer' concept

Original originator of the 'chief programmer' or 'software surgeon' concept per Brooks

Working with OpenAI to annotate musical scores for training data

Author of "Meta's Agent Learning" on arXiv

Author of "Virtual Agent Economies" on arXiv

Author of "Reinforcement World Model Learning for LLM Agents" on arXiv

Co-coined the term 'illusion of explanatory depth' (IOED) in 2002, studying cognitive biases relevant to AI understanding.

Co-coined the term 'illusion of explanatory depth' with Rozenblit, researching cognitive biases in knowledge perception.

Conducted research published in Science on how search engines reorganize human memory, showing people forget information they can find online.

Author of "DualPath for High-Throughput Agentic LLM Inference" on arXiv