NVIDIA Developer is publishing technical guidance on building synthetic data pipelines that stay license-compliant when distilling frontier models — a tacit admission that distillation's legal gray zone is now a procurement risk, not just a research curiosity. As labs like DeepSeek show how cheaply capability can be extracted via distillation, the real scarce asset shifts from raw compute to defensible provenance: pipelines that can prove their synthetic outputs don't launder a competitor's proprietary training data.
Expect model providers and data licensors to price 'compliance-clean' synthetic corpora at a premium over unverified scrapes.
How to Build License-Compliant Synthetic Data Pipelines for AI Model Distillation
