Yao Xingcheng, the former head of pre-training for Tencent’s Hunyuan large language model, has joined Thinking Machines Lab, according to a BlockBeats flash report. The startup was founded by former OpenAI CTO Mira Murati. Yao left Tencent in July this year, and there had previously been market talk that he might join Meta. Caijing-style outlet Leifeng, citing a person familiar with the matter, said Thinking Machines offered Yao compensation that was clearly higher than what he received at Tencent. The report added that his annual pay package at Tencent had already reached tens of millions of yuan. Yao graduated from Tsinghua University’s Yao Class. Before joining Tencent, he worked on large model research at Moonshot AI and was involved in the development of Kimi K2 and Kimi Linear. He is also listed as co-first author of the widely known sentence embedding method SimCSE.
Yao Xingcheng, the former head of pre-training for Tencent’s Hunyuan large language model, has joined Thinking Machines Lab, according to BlockBeats.
Thinking Machines Lab was founded by former OpenAI CTO Mira Murati. Yao left Tencent in July this year, and there had previously been reports in the market that he might join Meta.
Leifeng, citing a person familiar with the matter, said the compensation package offered by Thinking Machines was noticeably higher than what Yao received at Tencent. The report added that Yao’s annual pay package at Tencent had already reached tens of millions of yuan.
Yao graduated from Tsinghua University’s Yao Class. Before Tencent, he worked on large model research at Moonshot AI, where he participated in the development of Kimi K2 and Kimi Linear. He is also a co-first author of SimCSE, a well-known sentence embedding method.
This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan. Disclaimer:
The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.
Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.
