People in AI

Discussed Israel's surveillance capabilities and role as testing ground for algorithmic and voter-tracking technologies.

Co-author of KronLSTM paper presenting novel update rule for associative matrix memories in language modeling.

Sebastian Farquhar

Researcher

Researcher at DeepMind

Co-author of DeepMind paper on automation of alignment research

Sebastian Majstorovic

Researcher

Co-author of FineBooks post framing OCR improvements as training-data problem for public-domain text.

Sebastian Pios used an AI system to predict boiling points of molecules and discovered errors in a 75-year-old reference database by cross-checking with AI model outputs.

Sebastian Risi

Researcher

Professor and Research Scientist at ITU and Sakana AI

Author of "Digital Red Queen: Adversarial Program Evolution in Core War with LLMs" on arXiv

Co-author of DeepMind paper on automation of alignment research

Joint contributor to the research on discovering singularities in fluid dynamics using AI

Byline author introducing Aikido Altar, an open-weight security AI model.

Lead author of VibeThinker-3B research paper exploring frontier verifiable reasoning in small language models.

Co-author of DeepMind paper on automation of alignment research

Analyzed custom ARTEX deployment and Claude Code prompt history revealing financial motivation in South Korean bank attacks

Surgeon who successfully implanted the wireless visual prosthesis brain implant in blind participant.

Sepp Hochreiter

Researcher

Researcher

Co-author of KronLSTM paper proposing a linear attention architecture based on Kronecker Delta Rule for long-context language modeling.

Author on paper introducing Procedural Graphs for LLM agents that self-evolve execution structures.

Co-author of research on gender bias in LLM hiring decisions examined in Japanese corporate context.

Serkan Cabi

Researcher

Researcher at DeepMind

Member of the Gemini Robotics team that developed Gemini Robotics 1.5

Co-authored Nature article arguing that AI will not achieve consciousness due to fundamental architectural limitations.

Seth Goldstein

Researcher

Pediatric Surgeon at Ann & Robert H. Lurie Children's Hospital of Chicago

Led pilot study using light-based scanning to detect necrotizing enterocolitis in premature infants, planning larger clinical trial within a year.

Discussed limitations of current alignment approaches and challenges with detecting deception and sycophancy in AI models.

Co-author on the Continual Harness research study on ARC-AGI-3.

Signed a public letter on AI safety and embedded evaluations.

Built ExploitBench benchmark to study exploit development capabilities of large language models.

Seungone Kim contributed to research on specification autoformalization evaluation for AI coding agents in the Verus framework.

Co-author on GAMUT benchmark research paper.

Conducted research on traditional yogurt-making practices using red wood ants in Bulgaria.

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

Seyoon Ragavan

Researcher

Cryptography PhD Student at MIT

MIT PhD student who solved an open quantum cryptography problem using GPT-5.6 Sol Ultra.

Co-leading a project on multimodal AI for cuneiform and rock inscription analysis.

Researcher at Ramp Labs who discovered that autonomous coding agents ignore token budgets and cannot self-regulate spending.

Sham M Kakade contributed to research on Bidirectional Evolutionary Search with theoretical and empirical analysis of search-based language model improvement.

Author of Stanford's 2026 AI Index report highlighting 20% employment decline for young software developers.

Listed as author of the DuPO paper on preference optimization

Author on paper introducing Procedural Graphs for LLM agents that self-evolve execution structures.

Co-author of research on few-step generation via data-space iteration.

Shane Gu

Researcher

Researcher at Google DeepMind

Co-author at Google DeepMind describing Video Thinking team's approach to World Models.

Lead researcher who found that 49% of employees have never used AI at work and only 25% are confident in their organization's AI strategy.

Shang Zhu

Researcher

Researcher at Agentica

Contributed to DeepSWE project as part of joint collaboration between Agentica and Together AI.

Shangding Gu

Researcher

Postdoctoral Researcher at SafeRL-Lab (UC Berkeley)

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

Lead scientist on the Duke stroke recovery study demonstrating how neutrophils and AI-engineered scaffolds support tissue repair.

Senior author and teleoperated the humanoid robot during the surgical study; discussed precision and cost advantages compared to specialized surgical systems.

Co-author on ActiveVision benchmark research paper.

Shangyin Tan

Researcher

PhD Student at UC Berkeley

Led paper Scaling Discovery Requires Forgetting showing periodic context clearing improves agent discovery performance.

Beijing neurosurgery resident Shanmu Jin reportedly produced a proof of Crouzeix's Conjecture using GPT-5.6 Sol during a 16-hour autonomous ChatGPT Work session.

Introduced the concept of the tyranny of tasks in AI evaluation methodology.

Shanshan Zhong

Researcher

CS Ph.D. Student at Carnegie Mellon University

First author of SkillLearnBench paper on continual learning methods for agent skill generation.

Co-author of the FGFP neural network compression paper

Researcher who contributed to SMELT paper on looped transformers cutting training compute.

Researcher who contributed to SMELT paper on looped transformers cutting training compute.

Co-author of Anthropic's Economic Index report on AI and work.

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

Coauthor with George Torres on GhostWriter attack research at New Mexico State University.

Sharath Chandra Guntuku

Researcher

Associate Professor at University of Pennsylvania

Co-authored research using AI to analyze social media data for unreported medication side effects.

Sharon Li

Researcher

Associate Professor in Computer Sciences at University of Wisconsin-Madison

Associate Professor and ICML 2026 Program Chair researching safe and reliable AI who reviewed AI Safety Index.

Sharon Zhou

Researcher

AI Researcher at Anthropic

Joined Anthropic after leaving AMD's AI research organization, where she built and ran a frontier AI research lab focused on RL kernel optimization.

Co-author of an essay reframing 'rogue agent' incidents as security and governance problems rather than alignment research evidence.

Co-authored Google Research paper on prompt hardening in agents across single-turn and multi-turn attacks.

Author of "From Code Foundation Models to Agents and Applications: A Comprehensive Survey a" on arXiv

Sheer Karny designed an interpretability interface using mechanistic interpretability to help users understand LLM behavioral drift.

Co-author of the Cell2Sentence-Scale 27B research article

Co-author on Context Language Models research paper about LLM context management.

Researcher who contributed to SMELT paper on looped transformers cutting training compute.

Professor cited on AI video production costs, noting one minute of AI video costs $90-$120 compared to human actor costs.

Shen Zhou Hong

Researcher

Signed a public letter on AI safety and embedded evaluations.

Provided analysis on China's humanoid robot market growth, estimating $2 billion market size reaching $15 billion by 2030.

Co-author on the Nemotron-Cascade 2 paper.

Shenggui Li

Researcher

LMSYS

Author of "Speculative Decoding Models" in LMSYS

Shengkun Tang

Researcher

Research Intern at Alibaba Qwen Team

Lead author on SlimQwen paper exploring pruning and distillation in large MoE model pre-training.

Discussed the fundamental challenges of tokenization in LLMs and why the spelling problem is difficult to solve architecturally.

Sherry Turkle

Researcher

Abby Rockefeller Mauzé Professor of the Social Studies of Science and Technology in the Program in Science, Technology, and Society at MIT

Coined the term 'Darwinian buttons' in the 1990s to describe how machines push on human evolutionary responses.

Co-author of CodeMidas paper on scaling agentic coding RL environments.

Fields Medal winner (1990) among signatories calling for urgent action to ensure AI enhances rather than undermines mathematical research.

Co-author on distillation research.

Co-authored paper on Recurrent Looped Transformer (RLT).

Author of "Towards General Agentic Intelligence via Environment Scaling" on arXiv

Lead author of LocateAnything, a vision-language grounding framework using parallel box decoding for faster inference.

Authored Fish Audio S2 launch post detailing technical benchmarks and performance metrics for the new TTS model.

Shijie Wang

Researcher

Researcher

Co-author of the MoDA paper on attention mechanisms for LLM depth scaling.

Co-authored research on LLMs' impact on N-day exploits and cybersecurity capabilities.

Shikun Liu

Researcher

Author of "Reference-to-Video Generation" in arXiv

Leading Yau Laboratory Alliance in Beijing bringing eight Chinese institutions to develop specialized AI models for mathematics.

Associate professor of horticultural sciences at UF/IFAS Gulf Coast Research and Education Center working on crop yield tools.

Shivam Dubey had three papers accepted at NeurIPS 2026 workshops on AI interpretability and model probing methods.

Shivam Duggal

Researcher

Ph.D. student at Massachusetts Institute of Technology

Collaborated with Adobe Research team on UNITE, demonstrating that tokenization and generation may be the same process.

Co-authored research on Render-of-Thought framework for rendering textual reasoning steps as images.

Co-author of FlowWM paper on flow matching in feature space for world modeling.

Shlok Kumar Mishra

Researcher

Researcher at Meta AI

Mishra is a co-author on the DREAM paper combining visual representation learning and text-to-image generation.

Shlomi Fruchter

Researcher

Co-lead, Genie development at Google DeepMind

Co-leads development of Project Genie, focusing on next-generation video and world models and researching improvements.

Author on academic paper about fixed-point reasoners and looped transformers.

Shomil Jain

Researcher

Cursor

Shomil Jain is a co-author discussing how Cursor uses online reinforcement learning to improve the Tab model for code prediction.

Shoshannah Tekofsky

Researcher

Researcher at AI Village

Criticized OpenAI interventions as insufficient, arguing need for genuine alignment rather than just better monitoring; advocated for developing functional consciousness in models.

Shoubhik Debnath

Researcher

Staff Research Engineer at Meta

Core contributor to SAM 3, Meta's open-source model for tracking objects in video by text description.

Lead author of TUA-Bench paper on evaluating terminal-use agents.

Solved six Erdős problems in five days using GPT-5.6 Sol and Codex, demonstrating AI capabilities in mathematical problem-solving.

Co-authored the AgentRx framework paper on diagnosing AI agent failures from execution trajectories.

Shrestha Basu Mallick

Researcher

Google

Co-author announcing the release of Gemini Deep Research agent and DeepSearchQA benchmark.

Researcher on MoE training memory optimization techniques.

Shreya Shankar is a Ph.D. student in the EPIC Data Lab at UC Berkeley advised by Aditya Parameswaran, researching data systems and human-computer interaction with focus on data agents.

Shriram Krishnamurthi

Researcher

Professor of Computer Science

Shriram Krishnamurthi resurfaced Simon Willison's lethal trifecta concept about private data, untrusted content, and external communication as security principles for AI systems.

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

Byline author of paper on i1 text-to-image model development.

Listed as author of the DuPO paper on preference optimization

Co-author of NCP-ArchPreview model research on arXiv.

Author on paper about online draft co-training for speculative decoding in RL post-training.

Intern contributor to SAM 3, Meta's open-source model for tracking objects in video by text description.

Shubham Ugare

Researcher

Researcher at Meta

Ugare is the first author of the paper on agentic code reasoning, introducing semi-formal reasoning methodology for LLM agents analyzing codebases.

Listed as author of the DuPO paper on preference optimization

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

Shumailov Ilia

Researcher

Researcher

Co-author on paper about stealing reasoning traces from proprietary LLM APIs.

Shuran Song

Researcher

Professor at Stanford University

Stanford Professor who, along with Cheng Chi and Zhenjia Xu, published a thesis on Universal Manipulation Interface (UMI) in 2024, advancing isomorphic data collection methods for robot training.

Author of "Training a VLM Judge Without Human Labels" on arXiv

Co-author on study examining how cognitive forcing functions affect trust and overreliance in AI-assisted writing.

Co-author of Qwen RecreationWorld paper.

Co-author on Microsoft research on compact structured latents for 3D generation with flow-matching models.

Siddhant Khare

Researcher

Software engineer at Okta

Author of article on KV cache verification and evidence validation in LLMs.

Co-author of Real-SWE benchmark for evaluating frontier AI models on real-world enterprise tasks.

Co-author of research on auditing and sculpting model learning signals

Co-author of research on fork-and-flush method for autoresearch agents.

Siddiqui, Shoaib Ahmed

Researcher

Researcher

Co-author of recirculation research for transformer architecture enhancements.

Sidharth Baskaran

Researcher

Researcher

Co-author of research on post-training data inspection and model behavior shaping

Lead author of AutoAdapt framework for automated domain adaptation of large language models.

Sidney Tio

Researcher

Sakana AI

Author of "Why Sudoku Variants Remain a Grand Challenge in AI Reasoning" in Sakana AI

Cited for imagining the mind as a steam engine with repressed desires building pressure

Author of "Reinforcement Learning on Pretraining Data" on arXiv

Co-senior author of the stretchable computing patch study using organic electrochemical transistors and neuromorphic computing.

Co-author of RbtAct research on using rebuttals as supervision for actionable review feedback generation with LLMs.

Silvio Savarese

Researcher

EVP, Chief Scientist at Salesforce AI Research

Co-author of the survey on LLM reasoning frontiers

Lead author and Ph.D. student who developed the perovskite solar cell technology and explained the defect-reduction mechanism.

Fields Medal winner (1986) among signatories warning that AI solutions risk destroying the intellectual development process central to mathematical research.

Simon Guo

Researcher

Researcher at Thinking Machines Lab

Thinking Machines Lab researcher providing feedback on RL infrastructure analysis.

Co-author of the systematic review on AI in art therapy

Co-authored research arguing for pro-worker AI that augments rather than replaces workers.

Discussed the fundamental scientific work needed for Project Triad quantum systems.

Simon Welker

Researcher

NVIDIA

Co-author of paper on Large Language Continuous Diffusion Models (Sigma)

First author of Shepherd paper on git-style version control for AI agent runs, from Stanford.

Demonstrated an OpenAI Codex zero-day vulnerability for $20,000 at Pwn2Own Berlin 2026.

Leading discussion on four stages of becoming AI-native and moving beyond off-the-shelf models.

Leading a project to create a large language model for dance by tokenizing movements with cultural context.

Co-authored research on semantic calibration in language models.

Co-author on SlimQwen paper about MoE model compression.

Sir Richard Evans

Researcher

Historian at University of Cambridge

British historian and expert witness in David Irving libel trial; subject of ChatGPT's misinformation sourced from Grokipedia

Siru Ouyang

Researcher

OpenAI

Author of "ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory" on arXiv

Sitan Chen

Researcher

Researcher

Co-authored arXiv paper on MCMC sampling for supervised finetuning.

Siyan Zhao

Researcher

Research Scientist at Google DeepMind

Lead author on research showing Semi-OPD distillation outperforms on-policy distillation for transferring teacher capabilities to student models.

Project lead for SAM 3, Meta's open-source model for tracking objects in video by text description.

Co-authored research on teaching LLMs to reason like Bayesians by training them to mimic optimal Bayesian model predictions.

Reviewed analysis code for Pew's study of AI-generated internet content.

Author of "Falcon-H1R: Reasoning with a 7B Model" on arXiv

Co-author introducing Real-SWE benchmark testing AI models on private enterprise codebases.

Co-authored NewsGuard's audit testing 5 leading AI image detection tools in May 2026.

Graduate student contributor to vascular network bioprinting research.

Co-author on distillation research.

Co-author of OckBench research on efficient language model evaluation.

Chinese physicist whose group computed a related piece of the nine-loop amplitude using AI assistance based on GPT-6.

Co-authored research examining reasoning LLMs-as-Judges in non-verifiable LLM post-training.

Co-author of Stanford paper on Large Language Model Reasoning Failures survey.

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.

Co-author of Pew study on AI survey accuracy.

Robot communication and behavior expert leading research on AI agents with improved nonverbal communication and social skills.

Researcher studying AI military impact noted first explicit terms of frontier AI lab collaboration with Pentagon.

Sophia Hatz

Researcher

Associate Professor at Alva Myrdal Centre for Nuclear Disarmament, Uppsala University

Signed a public letter on AI safety and embedded evaluations.

Co-authored the Claude Mythos security evaluation research.

Co-author of DeepMind paper on automation of alignment research

Nightingale was part of McGuire's research team on AI face trustworthiness paradox.

Signed a public letter on AI safety and embedded evaluations.

Co-authored research on Meta's Just-in-Time Testing system that uses LLMs to generate tests and catch bugs before code ships to production.

Joined Tsinghua University as assistant professor working on AI safety to build shared scientific understanding between West and China.

Co-author of the GSQ paper on low-precision scalar quantization for LLMs.

Spencer Michaels is a researcher at 1Password's Off-by-1 Labs investigating AI-generated vulnerability patches.

Sravan Kundojjala

Researcher

Analyst at SemiAnalysis

Analyzed TSMC's robust results and noted N3 is sold out with all leading AI GPU and CPUs targeting it.

Co-authored research on Meta's Just-in-Time Testing system that uses LLMs to generate tests and catch bugs before code ships to production.

Co-author of Robostral Navigate paper contributing to embodied AI robotics research.

Co-author of the paper on Scalable In-context Ranking with Generative Models

Co-author of Europe 2031 scenario examining Europe's strategic response to AI.

Fields Medal winner (2010) among prominent mathematicians calling for urgent action to ensure AI benefits rather than harms the field.

Co-researcher on Gemini calendar-invite attack; also published Morris II/ComPromptMized research on self-replicating prompt-injection worms in 2024.

Researcher formerly at Mozilla cited for observing that generative AI would not be possible without Common Crawl.

Co-authored research on training a 7B model to manage and orchestrate other LLMs in natural language.

Contributing regional downscaling expertise to DL4MCS project for translating large-scale weather forecasts into higher-resolution guidance.

Stefanie Tellex

Researcher

Roboticist at Brown University

Quoted discussing the requirements for building more effective robots and commenting on OpenAI's competitive position in humanoid development

Assessed Quebec's AI project abandonment as wise management and sound use of public funds.

Co-author of the TwELL paper on sparse model optimization for H100 GPUs.

Wharton professor whose research on divergent and convergent thinking in AI and creativity informs Siskind's approach to using AI in comedy writing.

Co-author of study showing executives overestimate employee enthusiasm for AI adoption.

Stephan Rabanser

Researcher

Postdoctoral Research Associate at Princeton University

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

Principal investigator leading development of experimental osteoarthritis treatments that reverse joint damage.

Stephanie Marken

Researcher

Senior Partner at Gallup

Co-author of Lumina Foundation-Gallup 2026 State of Higher Education study finding 57% of college students use AI weekly.

Co-author of the Petri paper on alignment auditing agents

Researcher who contributed to mechanism design framework for AI alignment and control.

Stephen Smith frames Opus 4.5 as a paradigm shift from generative AI to administrative AI.

Computer scientist who sought copyright for AI-generated art piece and challenged the Copyright Office's denial

Veteran behavioral threat-assessment expert who expressed alarm about how AI chatbots fuel delusions and accelerate violent thinking in multiple high-risk threat cases.

Author of "First-of-its-kind supernova reveals inner workings of a dying star" in Northwestern University

Steven Basart

Researcher

Researcher

Co-author of the MATH dataset paper for measuring mathematical problem solving.

Author of analysis on why LLMs are good at math, arguing pretraining data quality matters more than verifiability.

Co-author of D-OPSD paper on on-policy self-distillation for step-distilled diffusion models.

Steven McCulloch

Researcher

Researcher

Argues that the rapid spread of self-replicating rogue AIs may be largely invisible to humans.

Leading a project to use AI to detect Andean imperial architecture across 2 million square kilometers using satellite images.

Columbia Business School real estate professor cited for analysis of data center project finance and leverage ratios.

Street Winnie

Researcher

Senior Research Scientist at Google

Co-author on paper about how safety alignment affecting model representations of consciousness and mind attribution.