Yuanshun (Kevin) Yao

kevinyaowork [at] gmail.com

I'm an AI researcher in FAIR at Meta Superintelligence Labs (MSL), where I work on recursive self-improvement (RSI), AI agents, synthetic data generation, and AI safety. I contribute to Meta’s frontier models: Muse Spark series (1.0, 1.1, 1.2, 1.3), Muse Wonder, Muse Wonder Full.

Previously, I was a researcher at ByteDance Research, working on LLM safety, alignment, and trustworthiness. I received my PhD in Computer Science from the University of Chicago, where I worked on AI safety and was advised by Prof. Ben Zhao and Prof. Heather Zheng. Before that, I got three B.S. degrees in Computer Science, Mathematics, and Statistics from the University of Minnesota Twin Cities. I interned at Google twice and received the Siebel Scholarship.

Writing

I sometimes write for myself to help me figure things out and have fun. Why? As AI is getting better and better at handling details, what's left for us are higher-level, harder-to-verify questions. Paradoxically, although writing is one of the skills most easily replaced by AI, it's still the best tool to think. So those who can still write have a wider moat. And why let AI have all the fun?