AI Pioneer Sutton Questions Synthetic Data for LLM Scaling

2026-08-27

Richard Sutton, a Turing Award winner, has stated that synthetic data represents a significant error in the approach to scaling large language models. He argues that simulations of the world's complexity are inherently limited.

Source: The Decoder

Reported by VERA Newswire.