AI首席科学家才挖来就威胁离职？Meta掀起抢人大战，赢家可能是OpenAI

Core Insights - Meta is facing significant internal turmoil as it attempts to transform its AI division and compete with OpenAI and Google, highlighted by the recent recruitment struggles and high-profile departures of key personnel [1][2][5] Group 1: Talent Acquisition and Retention - Meta has invested nine-figure signing bonuses to attract AI researchers from competitors like OpenAI and Apple, but has experienced talent loss shortly after the establishment of its AI department, the Meta Superintelligence Labs [1][5] - At least eight employees have left the newly formed AI department, including both new hires and long-term employees, indicating a troubling trend of attrition [5][6] - The recent threat of departure from newly appointed Chief AI Scientist Zhao Shengjia, who considered returning to OpenAI, underscores the challenges Meta faces in retaining top talent [3][4] Group 2: Organizational Restructuring - Meta has restructured its AI department into four independent teams, marking the fourth major adjustment in six months, which raises concerns about the company's ability to effectively integrate external talent [2][6] - Frequent organizational changes and the integration of new leadership have created friction, with some employees expressing dissatisfaction with the bureaucratic culture and resource allocation [6][7] - The leadership style of CEO Mark Zuckerberg, characterized by micromanagement, has led to tensions within the team, particularly among those who are not accustomed to managing large tech organizations [7][8] Group 3: Strategic Adjustments - In response to internal challenges, Meta has temporarily paused all hiring for the Superintelligence Labs, except for critical roles, to allow leadership to thoughtfully plan for future personnel growth [8] - The company is reportedly considering layoffs within the AI team and has shifted focus away from the public release of its flagship Llama Behemoth model due to underperformance [8] - Despite setbacks, some leadership changes, such as the appointment of popular figures like Nat Friedman, are viewed positively and are expected to drive AI development forward [9]