AI IntelligenceAug 21, 2026AI Intelligence
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KI-Pioneer Sutton calls synthetic data a "big mistake" in the face of an infinitely complex world: Turing Award winner Richard...
Sutton called synthetic data a "big mistake" for scaling large language models, arguing that real-world complexity dwarfs any simulation. He advocates for agents that learn continuously from their own experience rather than relying on frozen models and human-curated data.
Frontier EditorialSource: The Decoder
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KI-Pioneer Sutton calls synthetic data a "big mistake" in the face of an infinitely complex world: Turing Award winner Richard Sutton called synthetic data a "big mistake" for scaling large language models, arguing that real-world complexity dwarfs any simulation. He advocates for agents that learn continuously from their own experience rather than relying on frozen models and human-curated data.