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2092 results
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.
Devin and OpenInspect show what background coding requires: shared sessions, working environments, useful tests, scoped memory and review that keeps repositories maintainable.
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.
An AI-agent project created by Toran Bruce Richards that evolved from a standalone autonomous agent into a platform for building, running, and managing automated workflows.
How onboard autonomy changes drone operation—and why mission verification, manufacturing, and the economics of defense matter as much as the AI.
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