Ex-OpenAI Researcher: Human Data Labeling Isn't the Main Bottleneck for AI Progress
RyanGreenblatt · x · 2026-08-13
Ryan Greenblatt elaborated on his views regarding AI progress drivers. He argues that even if spending on human expert data labeling were fixed at around $100 million per company annually, AI progress would slow by less than 25%. He emphasizes that compared to investments in researchers and experimental compute, direct spending on data creation isn't as high or growing as fast.
Related event: Ex-OpenAI Researcher: Human Data Not Core AI Bottleneck(2 posts)→
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