Synthetic Data
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Synthetic Data
Overview
Synthetic data is generated data intended to approximate properties of real-world datasets.
Why it is hyped
- privacy constraints make real data hard to share
- many domains have data scarcity
- synthetic data can be scaled and tailored for specific tasks
Risks
Overuse of synthetic data can create feedback loops:
- hallucinations propagate into training sets
- model diversity can collapse over generations
- rare / long-tail knowledge can be lost
Industry signal
Wired reported NVIDIA’s acquisition of synthetic-data startup Gretel as part of a broader push into synthetic-data tooling.
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Sources
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