gettyWhen U.S. sales teams from Silicon Valley’s big data-labeling startups visited this year’s International Conference on Machine Learning in Seoul, Korea, they arrived prepped to court the industry’s big spenders. The data companies—collectively worth tens of billions of dollars and generating billions in annual revenue supplying training data to customers like OpenAI and Anthropic—are used to chasing AI labs that are notoriously demanding, fickle and difficult to satisfy.They found another e...