Article argues synthetic data deserves deeper research as a generator design problem
keyanzhang · x · 2026-10-18
The article "We're Thinking Too Small About Synthetic Data" argues synthetic data is far more than large-scale inference or pre-training mixture design — it's a deep data research problem that remains largely open.
The author calls for treating synthetic data generators themselves as a research subject, rather than an appendage of the training pipeline.
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