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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.