Anti-Distillation Clause

What it is

This clause prohibits using DeepSeek-R1 or any outputs it generates to train, improve, or fine-tune any competing AI language model.

Why it matters (compliance & governance perspective)

This provision directly limits how AI developers and researchers can use the model's outputs, specifically barring a common practice of using outputs from one model to improve or train another, which has significant implications for organizations operating AI model development programs.

Consumer impact (what this means for users)

For individual developers and organizations that use DeepSeek-R1 outputs as training data or as inputs for improving other AI models, this clause represents a contractual restriction that, if violated, could constitute a license breach. The restriction applies to outputs generated by the model, not just the model weights themselves.

Institutional analysis (Compliance & governance intelligence)

1) REGULATORY LANDSCAPE: This clause operates primarily under intellectual property and contract law rather than consumer data protection frameworks. It may interact with copyright law doctrines concerning training data in jurisdictions where AI-generated outputs carry copyright status, though this remains an unsettled area of law in many jurisdictions including the EU and the U.S. The FTC has oversight over unfair or deceptive trade practices and has been active in AI-related enforcement, though this clause is a contractual restriction rather than a deceptive practice. 2) GOVERNANCE EXPOSURE: High. This clause creates significant compliance exposure for organizations operating AI model development pipelines who may inadvertently or intentionally use DeepSeek-R1 outputs as training data for other models. The clause is broadly drafted and covers any improvement to any large language model other than DeepSeek-R1 and its derivatives, which could implicate automated data collection, synthetic data generation, and model evaluation workflows. 3) JURISDICTION FLAGS: The enforceability of anti-distillation clauses is legally unsettled in multiple jurisdictions. In the EU, the text and data mining exception under the Copyright in the Digital Single Market Directive may interact with this clause, though contractual restrictions on permitted uses remain subject to interpretation. In the U.S., enforceability may depend on whether the clause is assessed as a valid contractual restriction or as an attempt to limit uses that may otherwise be permissible under fair use doctrine. 4) CONTRACT AND VENDOR IMPLICATIONS: Procurement and vendor management teams integrating DeepSeek-R1 into AI development workflows should assess whether existing data pipeline contracts, synthetic data generation agreements, or model training vendor agreements create any pathway for DeepSeek-R1 outputs to enter training datasets for other models. This clause could also affect organizations using model outputs for benchmarking or evaluation if such activities are structured in a way that contributes to model improvement. 5) COMPLIANCE CONSIDERATIONS: Organizations should implement technical and procedural controls to ensure that outputs from DeepSeek-R1 are segregated from training data pipelines for other models. Legal teams should review existing AI governance policies to incorporate restrictions imposed by this clause and assess whether current data labeling, annotation, or synthetic data workflows could implicate the prohibition.

Applicable agencies

Provision details

Other risks in this policy

• Commercial Use Threshold (100M MAU) medium
• Attribution and Notice Requirements low
• Prohibition on Misrepresentation of Origin low
• License Grant Scope and Derivative Works medium
• Acceptable Use Policy and Prohibited Conduct high
• Disclaimer of Warranties medium