Report: Meta Delays Rollout of Behemoth AI Model Amid Performance Concerns

Core Insights - Meta has delayed the rollout of its flagship AI model, Behemoth, initially planned for April, then June, and now postponed until at least fall [1][2] - The delays are attributed to challenges in improving the AI model and concerns about its performance compared to public claims [2] - Meta's CEO, Mark Zuckerberg, emphasized the transformative potential of AI and announced increased spending on AI data centers, raising capital expenditures to $64 billion to $72 billion from a previous estimate of $60 billion to $65 billion [3][4][5] Group 1 - The launch of Behemoth has been postponed multiple times, with no public commitment to a new timeline [1] - The company is facing difficulties in enhancing the AI model and ensuring it meets the performance standards advertised [2] - Meta's recent AI model releases, Llama 4 Scout and Llama 4 Maverick, aim to compete with more expensive closed models from rivals [5] Group 2 - Meta plans to significantly increase its capital expenditures to meet the growing demand for computing resources [4] - Zuckerberg highlighted the vast opportunities presented by AI and the company's strategy to accelerate efforts in expanding capacity [5]