苹果四位 AI 大将出走，其中三位是华人

Core Insights - The recent talent exodus from Apple highlights significant movement in the AI sector, with four key researchers leaving for various companies, indicating a broader trend beyond just high salaries [1][3][24] Group 1: Talent Movement - Apple has lost four prominent AI researchers, including Jian Zhang, who was the head of robotics research, and three members from the foundational models team: Nan Du, Zhao Meng, and John Peebles [1][3][4] - The majority of the departing researchers are of Chinese descent, with three out of four being Chinese nationals [3][24] - Jian Zhang has joined Meta's Robotics Studio, while Nan Du and John Peebles have moved to OpenAI, and Zhao Meng has joined Anthropic [3][12][23] Group 2: Individual Contributions - Jian Zhang has a decade of experience at Apple, focusing on automation technology and AI applications in robotics, with a strong academic background in bionic flying vehicles [5][8][10] - Nan Du previously worked at Google for over seven years, contributing to significant projects like the 1 trillion parameter model and the second-generation Pathways Language Model [20][21] - John Peebles has expertise in generative AI and large language models, having worked on improving model inference capabilities at Apple [16][21] - Zhao Meng specializes in multimodal AI and generative models, with a notable academic record and contributions to zero-shot learning techniques [22][23] Group 3: Industry Context - The talent loss at Apple reflects a larger trend in the AI industry, where companies are competing for top talent, often leading to significant shifts in personnel [24][31] - Meta's aggressive recruitment strategy has been a focal point, but the recent departures from Apple suggest that other factors, such as company culture and research alignment, also play a critical role in talent retention [26][31] - The competitive landscape for AI talent is intensifying, with companies like OpenAI and Anthropic also offering lucrative compensation packages, further complicating the talent dynamics [26][27]