AI groups spend to replace low-cost 'data labellers' with high-paid experts

Summary

Major AI companies are increasingly investing in highly paid experts to label training data, moving away from reliance on low-cost data labellers. This shift aims to improve the quality and accuracy of AI models, but it also raises development costs and may impact the accessibility and scalability of AI systems.