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This article explores Richard Sutton's critique of synthetic data in AI, arguing that the infinite complexity of the real world cannot be adequately captured by artificial datasets. It examines the Big World Hypothesis and proposes continual learning agents as a more scalable alternative.
Mantis Biotech is developing digital twins of humans using synthetic datasets to solve medicine's data availability problem. The technology aggregates fragmented medical data to create virtual representations of human anatomy, physiology, and behavior for research purposes.
