After a $14.3 billion bet on Meta's scale AI, Openai and other partners are quietly winding up data relationships with scale to avoid passing the AI training pipeline to rivals.
Openai has been tapping long scales for high quality training data, but according to Bloomberg, it already dialed its usage before Meta 
Meta Scale CEO Alexandre Wang swooped down and took him to that super intelligence team. Openai claims that scale has met only a small portion of data needs.
Google 
Goog Also, Xaielon Musk's AI Outfithave similarly told Reuters that it would phase out the scale after Meta's deal. This contrasts with Openai CFO Sarah Friar's recent statement by Vivatech, where the acquisition risks that AI companies shouldn't lead each other to ice or slow innovation.
Data providers like Scale are at the heart of AI model training, creating undeniable conflicts when data suppliers become part of the direct competitor operations. As large players scramble to ensure independent data sources, small providers and startups may be forced to narrow down or pivot quickly to reconstruct the landscape of AI data supplies.
Note whether Openai, Google, Xai will turn the training data and then, and whether this pullback will trigger integration between the annotation and data label startups. Fallout helps map how strategic partnerships evolve in the AI-dominated competition.
