Moonshot, known for its Kimi models, accounted for more than 3.4 million exchanges, according to Anthropic. Its focus areas included agentic reasoning, tool use, coding, data analysis, computer-use agents, and computer vision. Moonshot allegedly used hundreds of fraudulent accounts spanning multiple access pathways and later tried to extract and reconstruct Claude's reasoning traces.
MiniMax conducted the largest campaign with over 13 million exchanges that targeted agentic coding and orchestration. Anthropic says it detected this operation while it was still ongoing, as MiniMax was training its model that was to be released in the future, which provides the American company a unique view on the lifecycle of the extraction. After Anthropic introduced a new Claude model, MiniMax allegedly redirected nearly half its traffic within 24 hours to capture capabilities from the latest model.
To fight future distillation attempts, Anthropic says it is strengthening defenses to make large-scale distillation harder to carry out and easier to detect. The company has deployed classifiers and behavioral fingerprinting systems to identify extraction patterns in API traffic, including chain-of-thought elicitation and coordinated multi-account activity. The company is also sharing technical indicators of large-scale distillation operation with other AI labs, cloud providers, and authorities, as well as tightening verification for educational, research, and startup accounts often used to create fraudulent access. In parallel, it is developing product-, API-, and model-level safeguards to reduce their usefulness of outputs for illicit training without harming legitimate users. At the same time, the company admits that that countering attacks at this scale requires coordinated industry and policy action.
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Anton Shilov is a contributing writer at Tom\u2019s Hardware. Over the past couple of decades, he has covered everything from CPUs and GPUs to supercomputers and from modern process technologies and latest fab tools to high-tech industry trends. ","collapsible":{"enabled":true,"maxHeight":250,"readMoreText":"Read more","readLessText":"Read less"}}), "https://slice.vanilla.futurecdn.net/13-4-17/js/authorBio.js"); } else { console.error('%c FTE ','background: #9306F9; color: #ffffff','no lazy slice hydration function available'); } Anton Shilov Social Links Navigation Contributing Writer Anton Shilov is a contributing writer at Tom’s Hardware. Over the past couple of decades, he has covered everything from CPUs and GPUs to supercomputers and from modern process technologies and latest fab tools to high-tech industry trends.
hotaru251 every commercial "ai model" was created via copying (theft). Reply
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://www.tomshardware.com/tech-industry/artificial-intelligence/SPONSORED_LINK_URL
- https://www.tomshardware.com/tech-industry/artificial-intelligence/anthropic-accuses-deepseek-other-chinese-ai-developers-of-industrial-scale-copying-claims-distillation-included-24-000-fraudulent-accounts-and-16-million-exchanges-to-train-smaller-models#main
- https://www.tomshardware.com
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