Yao Shunyu
Yao Shunyu is Tencent's Chief AI Scientist and head of its Large Language Model Department, where he leads development of the Hunyuan foundation model series. He holds a PhD in computer science from Princeton University and previously served as a core developer at OpenAI on agent products including Operator and Deep Research before joining Tencent in late 2025. He is widely cited in AI research for his work on language model agents and is best known at Tencent for releasing Hy3 Preview (Hunyuan 3.0), a 295-billion-parameter mixture-of-experts model, with planned integration into WeChat positioned as a major competitive development in Chinese AI.
“He's actually a pretty shrewd person — he knows that during the period when the boss trusts him most, he should rapidly replace everyone in the key positions.”
Source→“He's not the type who is very technically oriented. He values organization a great deal. The thing he says most often internally is that when building large models, the organization is extremely critical — many problems are organizational problems at their root.”
Source→“Yao Shunyu — by the way — has always been one of our idols. During his undergraduate years, he published two PRL papers.”
Source→“I think Shunyu made ReAct, which came out around October 2022. That actually extended CoT to a setting with an external environment, more like an agent setting.”
Source→“Yao Shunyu, our senior schoolmate, went back to lead Hunyuan. If Hunyuan's 3.0 gets integrated into WeChat Pro, that's going to be a very interesting competitive dynamic.”
Source→“If 3.0 gets into WeChat, the competitive landscape could get very interesting.”
Source→“Yao Shunyu, our senior, has returned to lead Hunyuan. The 300B-scale model they've released is very solid. If 3.0 gets into WeChat, the competitive landscape could get very interesting.”
Source→“Yao Shunyu, our senior, has returned to lead Hunyuan. The 300B-scale model they've released is very solid.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.