A Turing Award winner says the industry’s fix for running out of data is ‘a big mistake’
THE SO WHAT
Richard Sutton calling the pivot to synthetic data “a big mistake” is a pointed reminder that scaling laws may hit a wall without real-world experience. If your roadmap leans heavily on synthetic training, treat it as a hypothesis — invest in instrumentation and feedback loops that capture genuine interaction data.
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