Yash Patil
Yash Patil is the Co-Founder and CEO of Applied Compute, a company that trains custom AI models for enterprises using their proprietary data. He previously worked at OpenAI on post-training infrastructure and agentic coding research, contributing to projects including Codex, after dropping out of Stanford University. Applied Compute serves clients such as DoorDash, Cognition, and Mercor, specializing in reinforcement learning-based post-training to create enterprise-specific AI models.
“"Every company that runs its critical workflows on someone else's model is building on shifting sand."”
“Yash dropped out of Stanford and spent two years at OpenAI working on post-training infrastructure and Codex”
“"What it was like inside OpenAI the weekend the board fired, and then reinstated, its CEO"”
“"What Yash admires about Sam Altman" *(timestamp 28:18)*”
AI-extracted from podcast / newsletter / paper summaries. May contain errors.