People

OpenAI’s developer-experience leader on application architecture, real-time voice, and engineers working with agents.

Physician-scientist and Noetik co-founder focused on using multimodal foundation models to connect cancer biology, therapeutic targets and patient populations.

AI researcher with work on continual learning at Trajectory and contributions to Windsurf, SWE-1 and Google DeepMind’s agentic coding work.

Mathematician and coauthor of TinyStories and approximate-unlearning research, with earlier contributions to neural-network theory and high-dimensional probability.

Identified by Hg as Cognition’s founding president, Kaplan’s work spans autonomous coding agents, machine-learning data infrastructure and Tesla Autopilot.

Software engineer whose harness-engineering work makes requirements, tools, and feedback accessible to coding agents, now working on cloud-operation agents at Google Cloud.

AI researcher studying how evaluation metrics shape apparent capabilities and how model performance can be predicted with scale.

AI researcher working on financial question answering, agent-based report generation, and personal AI systems.

Machine-learning researcher working on protein language models, design and biological understanding.

OpenAI founding co-chair whose public views address AI deployment, supervised agents, and tools for better thinking.

Creator and host of the TWIML AI Podcast, with an analytical focus on AI applications, technology platforms, and the practical demands of enterprise deployment.

Impulse founder and coauthor of research on reducing repeated computation in video vision-language models.

Product leader and developer educator focused on AI platforms, agent interfaces, and the boundary between automated synthesis and human judgment.

Co-creator of Writely, which became Google Docs, and a Microsoft technology leader whose AI work combines model reasoning with conventional code.

AI researcher whose collaborative work examines how training data and scaling choices affect multimodal and language-model performance.

Pydantic’s creator builds Python developer tools for typed agents, application observability and controlled execution of AI-generated code.

Machine-learning researcher and generative-model coauthor whose work spans raw audio, continuous diffusion for language, and explanations of how image diffusion builds structure.

Founder of Learn Prompting and co-author of The Prompt Report and HackAPrompt, working on prompting methods, adversarial attacks, and reproducible evaluation.

Computer scientist and Discovery Loop cofounder whose work with Jeff Dean helped make distributed computing manageable for programmers, with contributions to MapReduce and TensorFlow.

Founder of Cline, whose work centers on coding agents, developer control and open-source tooling.

Investor in data and AI infrastructure whose work connects practitioner problems, research-driven startups, and the discipline of running better AI experiments.

Cerebras developer-experience leader whose technical writing and experiments emphasize verification, disciplined agent loops, and developer communities.

Founder of Conviction and host of No Priors, Guo invests in AI-native companies and argues that their lasting value depends on private context, trusted access and organizational change.

Founder of Seek AI, focused on using language models to turn business questions into data queries.

Sarah Sachs’s documented AI engineering work at Notion spans agent infrastructure, evaluation, distributed tool ownership and model procurement.

Andreessen Horowitz general partner investing in AI models, enterprise software, and infrastructure, with public theses on compute financing, integrated applications, and industrial robotics.

Machine learning researcher at Cursor whose work spans language-model research, open-source implementations, and the organization of the Conference on Language Modeling.

Microsoft’s chairman and CEO on enterprise AI, customer control of models, and turning capability into measurable value.

Microsoft’s chairman and CEO, whose AI leadership spans the OpenAI partnership, Copilot organization, and an emphasis on customer control through models, context, tools, and private evaluations.

Cognition co-founder Scott Wu’s work on Devin centers on AI that executes software tasks, learns from deployment, and leaves humans to decide what to build.