硅谷华人能不能站起来把钱挣了？

Core Viewpoint - The article discusses the recent developments in the American AI sector, focusing on Meta's restructuring of its AI team, the challenges faced by its LLaMA models, and the increasing influence of Chinese talent in the AI field [3][5][8]. Group 1: Meta's AI Team Restructuring - Meta's AI team underwent significant restructuring, with a large number of new hires and the dismissal of older staff, indicating a shift in strategy due to underperformance of previous models [5][8]. - The core of Meta's AI team now reportedly consists of at least 50% Chinese talent, many of whom have experience in major AI companies [5][8]. - Yann LeCun, a prominent AI figure and former chief scientist at Meta, was replaced due to dissatisfaction with current model architectures, highlighting a broader industry consensus on the need for architectural improvements [8][17]. Group 2: Challenges and Competition - The performance of LLaMA models has been criticized, particularly LLaMA 4, which was seen as lacking in reliability and presence in the open-source community [5][8]. - The article notes a shift in focus within the AI community from AGI (Artificial General Intelligence) to SSI (Superintelligent Systems), with both concepts being difficult to define and assess [17][18]. - The emergence of Chinese open-source models, such as DeepSeek, is seen as a challenge to American closed-source models, potentially destabilizing the commercial promises associated with AGI [18][22]. Group 3: Ethnic Dynamics in AI - The article highlights the paradox of Chinese talent being crucial to the success of American AI while facing systemic discrimination and a lack of recognition [10][24]. - It discusses the tendency of some Chinese professionals in the U.S. to adopt a subservient attitude, which does not alleviate the discrimination they face [10][24]. - The narrative suggests that the American AI industry is heavily reliant on Chinese talent, particularly in high-tech sectors like AI and semiconductors, yet continues to perpetuate negative stereotypes about Chinese innovation [10][24].