Former Tencent Hunyuan Pre-training Lead Yao Xingcheng Joins Thinking Machines Lab

iconKuCoinFlash
Share
AI summary iconSummary
Crypto news: Yao Xingcheng, former lead of the Hunyuan pre-training team at Tencent, has joined Thinking Machines Lab, founded by former OpenAI CTO Mira Murati. Yao left Tencent in July 2026 and was previously associated with Meta. Sources indicate that Thinking Machines offered a significantly higher salary than Tencent, where he earned tens of millions annually. Yao studied at Tsinghua University’s Yao Class, worked at Moonshot AI, and co-created the SimCSE embedding method. Cryptocurrency news continues to highlight major talent movements in the AI and tech sectors.
ME AI News, Dongcha Beating AI Brief: Yao Xingcheng, former head of pretraining for Tencent’s HunYuan large language model, has joined Thinking Machines Lab, founded by former OpenAI CTO Mira Murati. Yao left Tencent in July this year, following rumors that he might join Meta. According to Leiphone, citing insiders, Thinking Machines offered Yao a compensation package significantly higher than Tencent’s. His annual compensation at Tencent had already reached tens of millions of RMB. Yao graduated from Tsinghua University’s Yao Class. Before joining Tencent, he conducted large model research at Moonshot AI, contributing to projects such as Kimi K2 and Kimi Linear. He is also a co-first author of the classic sentence embedding method SimCSE. (Source: BlockBeats)
Source:Show original
Disclaimer: The information on this page may have been obtained from third parties and does not necessarily reflect the views or opinions of KuCoin. This content is provided for general informational purposes only, without any representation or warranty of any kind, nor shall it be construed as financial or investment advice. KuCoin shall not be liable for any errors or omissions, or for any outcomes resulting from the use of this information. Investments in digital assets can be risky. Please carefully evaluate the risks of a product and your risk tolerance based on your own financial circumstances. For more information, please refer to our Terms of Use and Risk Disclosure.