People

Pseudonymous AI jailbreak researcher who publishes prompt techniques and argues for transparency, capability exploration, and harm reduction outside the model.

Conviction partner and former Neeva engineer whose writing examines AI business durability, search infrastructure and enterprise automation.

Creator of Galileo’s Agent Leaderboard, focused on evaluating whether AI agents complete tasks and turning failures into verifiable improvements.

Machine-learning researcher and DatologyAI founding member studying how training data shapes foundation-model capabilities, memorization, and safety.

Pediatrician and philanthropic co-founder whose work connects AI-powered biological research with the goal of improving patients’ lives.

Atlan co-founder who advocates treating organizational context as governed infrastructure for enterprise AI.

Google DeepMind researcher applying machine learning to scientific problems, including protein structure prediction.

Applied Intuition’s co-founder and CEO focuses on putting AI into physical machines, with an emphasis on production constraints and sustainable commercialization.

AI systems engineer whose work spans distributed model training, practical training guidance, and hardware-aware model design.

Amp CEO and Sourcegraph co-founder whose work centers on code understanding, autonomous coding agents, and verification of generated software.

AI researcher whose collaborative work spans unsupervised feature learning, sequence-to-sequence models, language-model pretraining, neural architecture search, and chain-of-thought prompting; cofounder of Discovery Loop.

Chemist and materials researcher combining machine learning, physical simulation and experimental data, and Lila Sciences’ chief scientific officer for physical sciences.

Rahul Sonwalkar, known publicly as Rahul Ligma, founded Julius AI to help people use code for data analysis without having to write it themselves.

Product leader behind Google’s NotebookLM and cofounder of Huxe, focused on turning source material into useful, personal AI experiences.

Data scientist associated with Auditoria AI who advocates automating finance-agent repair workflows while preserving human verification and accountability.

Caylent’s chief technology officer writes about bringing generative AI into production, with an emphasis on evaluations, user workflows, economics and the authority of agents that take action.

Humanloop cofounder and former CEO whose work spans probabilistic machine learning, expert-guided model development and evaluation of language-model applications.

AI product work at Zapier: connecting language models to app actions, designing background workflows, and teaching colleagues to build with AI.

Databricks cofounder and chief architect whose work spans Spark analytics, database execution and live operational data for AI agents.

Replit’s Head of AI in 2023, Shabani helped build the data infrastructure and team behind Ghostwriter and the company’s own code language models.

Prompt-engineering practitioner known for public language-model experiments, model comparisons and collaborative research on multi-turn jailbreaks.

Machine-learning researcher working on reinforcement learning, language-model distillation and self-correction, with earlier contributions to reliable RL evaluation.

Cloudflare product leader whose public work on AI agents addresses durable execution, permissions, and the infrastructure needed to delegate tasks safely.

MiraOmics co-founder and CTO working on AI for biological data analysis, and co-host of Latent Space’s AI for Science podcast.

WebSim cofounder whose work spans generative browser experiences, tools for thought, and end-user programming.

Scrunch cofounder and CTO working on how AI agents retrieve, understand and use web content.

Runway principal research scientist developing real-time generative video, world models and robotics simulation.

AI researcher credited on Nomos, Hermes 4, and research into reducing communication during distributed model training.

Pinecone developer advocate whose technical writing examines how AI systems retrieve applicable knowledge, generate useful queries, and choose actions under explicit constraints.

Introspection co-founder focused on feedback loops, captured human expertise and infrastructure for self-improving agents.