Meta Platforms(US:META) 3 6 Ke·2025-09-01 06:26Core Insights - Meta is facing significant challenges in its AI initiatives, particularly following the Llama 4 performance evaluation scandal and the $14.3 billion acquisition of Scale AI, which has led to internal turmoil and talent exodus [1][3][35] Group 1: Acquisition and Talent Management - Meta's acquisition of Scale AI for $14.3 billion aimed to bolster its AI capabilities but has resulted in management chaos and a high turnover rate among newly hired talent [1][3] - Despite the investment, many top talents are leaving Meta even before starting their roles, indicating dissatisfaction with the company's management and culture [1][35] - The internal restructuring led by Alexandr Wang has not stabilized the situation; instead, it has exacerbated tensions within the AI team [15][35] Group 2: Data Quality and Partnerships - Meta's collaboration with Scale AI has come under scrutiny due to concerns over data quality, prompting the company to seek partnerships with competitors like Mercor and Surge for better data services [7][9] - Scale AI's reliance on a crowdsourced model for data labeling has proven inadequate for the complex requirements of advanced AI models, leading to a shift in Meta's strategy [7][9] - Following Meta's investment, Scale AI faced its own challenges, including layoffs and a loss of partnerships with major players like OpenAI and Google [9][11] Group 3: Internal Dynamics and Employee Sentiment - The restructuring of Meta's AI division has led to dissatisfaction among existing employees, who feel marginalized compared to new hires with significantly higher compensation packages [25][29] - Reports indicate that new employees are also unhappy with unmet expectations regarding resources and support, leading to further resignations [31][34] - The internal conflicts, particularly between Alexandr Wang and Mark Zuckerberg, have contributed to a toxic work environment, prompting many to reconsider their positions at Meta [35][35]