Distillation and model custody
In 2026 Anthropic reported detecting large-scale distillation attacks: it stated that actors linked to DeepSeek, Moonshot and MiniMax used roughly 24,000 fraudulent accounts to generate more than 16 million Claude interactions aimed at extracting model capabilities.
What the disclosure is, and is not
It is a company’s account of its own investigation: detailed, but not a court finding. Anthropic itself distinguished illegitimate extraction from ordinary, legitimate model distillation. It must not be generalized into a claim about all Chinese models, and this site does not make that claim.
Source: Anthropic: Detecting and preventing distillation attacks · reported here as that company's account, per the sourcing rules.
Capabilities have a supply chain too
The disclosure makes one custody point unavoidable: a model’s capabilities have a supply chain of their own. Who currently publishes a model, who trained its base, whose outputs shaped its behavior, and whose infrastructure serves it are four different custody questions with four different answers.
A supplier questionnaire that asks only “which model do you use?” collects a brand name, not a provenance record.
This project is not against any country’s AI. It is for accountable AI supply chains: documented lineage, checkable data boundaries, claims that survive an audit. Capable AI is worth having, so its custody chain deserves the same discipline as a camera manifest. For the broader argument that AI’s benefits justify taking its governance seriously, see Dario Amodei’s Machines of Loving Grace.