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Cube co-founder and CEO whose work connects governed semantic definitions with AI-driven analytics and human control.

Glean co-founder and CEO focused on company context, enterprise retrieval, and the cost and reliability of AI at work.

Microsoft executive whose AI-platform work emphasized agent orchestration, governance, and feedback-driven model improvement, before she became Xbox CEO in 2026.

Reinforcement learning researcher whose contributions include Genie's latent action model, Gato's early Atari prototype, and imitation learning from observations.

Foundation Capital general partner and enterprise AI investor who, with Jaya Gupta, developed the context-graph thesis: preserving how organizations make decisions as a foundation for AI agents.

Reinforcement-learning researcher whose work spans Berkeley robotics, OpenAI reasoning models and model development at Cursor.

Known publicly as Auriel W, Wright has worked on reinforcement learning at Gemini and writes about inspecting model behavior, designing rewards, and choosing economically relevant training tasks.

Andon Labs cofounder and Vending-Bench coauthor studying whether autonomous AI agents can sustain coherent decisions and run businesses.

Hungarian technologist and Agent Community founder working on AI-agent identity, discovery, and machine-readable publishing.

AI researcher and technology leader whose work includes Jamba’s hybrid language models and a case for input-specific, resource-aware AI execution.

Amplify Partners investor, AI engineering survey organizer and Barrchives host whose writing examines agent controls, evaluations and AI product decisions.

Co-founder of the AI Engineer conferences, with work spanning vendor-neutral technical events and the announcement of LLM-powered attendee matching.