Core Insights - Meta's significant investment of $14.3 billion in Scale AI and the recruitment of Alexandr Wang to lead Meta Superintelligence Labs (MSL) was initially seen as a strategic move in the AI sector, but internal issues have emerged within two months of the investment [1][4] Group 1: Executive Departures - Ruben Mayer, a former executive at Scale AI, left Meta less than two months after joining, raising concerns about the integration between Meta and Scale AI [3] - Mayer claimed he was part of the core team at TBD Labs, but his departure signals potential challenges in the collaboration [3][5] Group 2: Data Quality Concerns - Despite the investment, Meta's trust in Scale AI appears to be waning, as MSL has opted to work with competitors Surge and Mercor for data labeling, indicating doubts about Scale AI's data quality [4][5] - Following Meta's investment, both OpenAI and Google ceased using Scale AI's services, leading to layoffs at Scale AI, which were attributed to "market demand changes" [4][5] Group 3: Internal Turmoil - MSL is experiencing internal friction, with new hires from OpenAI and Scale AI expressing dissatisfaction with Meta's processes, leading to further departures [5][6] - The original GenAI team at Meta has been marginalized, resulting in additional employee exits [5][6] Group 4: Strategic Uncertainty - Meta's leadership is reportedly considering collaborations with competitors like Google and OpenAI to integrate their models into Meta's applications, raising questions about the company's commitment to developing its own AI models [7][8] - Despite emphasizing the goal of building leading models, Meta's current strategy may involve leveraging external AI models, which has drawn criticism from observers [7][8]
小扎砸了143亿的Scale AI,已与Meta“闹掰”?曝挖来的高管2个月就走人,数据质量也遭嫌弃