**Fissures Emerge in Meta-Scale AI Alliance**
The extensive partnership between Meta and AI data labeling powerhouse Scale AI is reportedly facing significant strain. For years, Meta has relied heavily on Scale AI for the crucial task of annotating and structuring vast datasets, essential for training its large language models (LLMs) and other advanced AI systems.
However, sources indicate that Meta is increasingly bringing this critical work in-house. This strategic shift is driven by several factors, including a desire for greater control over the data labeling process, ambitions to optimize costs, and the need for more specialized and nuanced data annotation as its AI research advances.
While not an outright dissolution, this rebalancing reflects Meta’s growing internal AI capabilities and its strategic push to own more of the entire AI development pipeline. The evolving relationship signals a broader trend among tech giants to internalize key components of their AI infrastructure.