Collection of blog posts tagged with model-distillation.
A forward look at the future of AI model protection following Anthropic's disclosure. We examine the technical frontlines — from watermarking to Antidistillation Fingerprinting — the legal realities of copyright, patents, and trade secrets, the regulatory directions of the US, UK, and EU, and how the industry structure could be reshaped within 3–5 years.
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An analysis of why Chinese AI companies could secretly train on Claude - and why that access existed in the first place. We examine the structural vulnerabilities of the open-API model, the link to AI chip export controls, the enforcement vacuum in which these attacks operated, and the strategic significance of Anthropic and OpenAI going public simultaneously.
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The full story behind Anthropic's disclosure of industrial-scale distillation attacks by DeepSeek, Moonshot AI, and MiniMax — 24,000 fake accounts, a "hydra cluster" infrastructure, and the blurry line between legal and illegal model training.
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