
Anthropic has disclosed that Alibaba conducted the largest campaign to extract Claude's capabilities, generating over 28.8 million exchanges through nearly 25,000 fraudulent accounts between April and June.
The attack occurred after Trump's warnings against AI model cloning and highlights what Anthropic views as a systematic effort by Chinese companies to avoid the costs of training frontier models independently.
Anthropic is calling on Congress to strengthen export controls, update antitrust law, and penalize such behavior to protect US AI leadership.
What happened
Between April 22 and June 5, operators affiliated with Alibaba and Alibaba Qwen generated more than 28.8 million exchanges with Claude through almost 25,000 fraudulent accounts, violating Claude's terms of service. The campaign targeted capabilities such as agentic reasoning, software engineering, and long-horizon tasks, using obfuscation techniques and proxy networks to evade detection.
Why it matters
Alibaba's alleged attack comes weeks after Donald Trump warned that cloning US frontier AI models was unacceptable and a threat to national security. Anthropic argues that these distillation campaigns turn billions of dollars in American investment into a subsidy for geopolitical competitors and could accelerate China's access to advanced AI capabilities without the training costs.
What to watch
Anthropic has recommended three policy steps to Congress: updating antitrust laws to allow AI firms to share information about Chinese tactics, increasing export controls on advanced chips, and passing laws penalizing Chinese labs' reliance on distillation attacks. The company warns that without intervention, these attacks could help China reach Mythos Preview-level capabilities sooner.
Ask the AI about this article →
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytime
Ask AI anything about this article. Q&As are published on this page for other readers too.
Long-term contracts are tying up indium phosphide (InP) capacity, driven by demand for optics in AI data cente…

Yotta Data Services, which runs India's largest cluster of Nvidia chips, is in talks to list on capital market…

Nvidia reported blowout second-quarter earnings and issued an upbeat revenue forecast, easing investor fears o…

Anthropic announced a new software standard, the Model Hardware Standard (MHS), to help AI assistants like Cla…

Anthropic PBC previewed the Model Hardware Standard (MHS), a unified interface that lets AI agents control sci…
A new analysis highlights the 'data efficiency gap'—children learn language with far less data than AI models
