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[ARTICLE · art-40682] src=startupfortune.com ↗ pub= topic=ai-safety verified=true sentiment=↓ negative

Alibaba's theft of 28.8 million Claude exchanges shows how Chinese AI closes the gap by taking shortcuts

Anthropic has told U.S. senators that Alibaba ran the largest known distillation attack on an American AI model, harvesting nearly 29 million exchanges with Claude through 25,000 fake accounts to train its Qwen model. The attack targeted Claude's agentic reasoning and software engineering capabilities, allowing Alibaba to close the AI gap without conducting original research.

read1 min views1 publishedJun 26, 2026
Alibaba's theft of 28.8 million Claude exchanges shows how Chinese AI closes the gap by taking shortcuts
Image: Startupfortune (auto-discovered)

Anthropic has told U.S. senators that Alibaba ran the largest known distillation attack on an American AI model, harvesting nearly 29 million exchanges with Claude through 25,000 fake accounts to train Qwen, and the resulting capabilities are already showing up in benchmark results.

The letter went to Senate Banking Committee Chair Tim Scott and Ranking Member Elizabeth Warren on June 10. Anthropic alleged that operators affiliated with Alibaba's Qwen lab opened roughly 25,000 fraudulent accounts and used them to generate 28.8 million exchanges with Claude between April 22 and June 5, 2026, specifically targeting the model's agentic reasoning, software engineering, and long-horizon task capabilities. The goal, as Anthropic characterized it, was illicit capability extraction: train a less capable model on outputs from a more powerful one and close the gap without doing the underlying research. As CNBC reported, Anthropic described Alibaba's conduct as

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