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GoPlus flags another meme coin rug factory on Robinhood Chain with over $9 million in 30-day flow
Policy and Re
2026-08-07 07:36:26

AI tools are being used to flag sham token projects and on-chain pyramid schemes

Regulators and security teams are increasingly using artificial intelligence to spot suspicious crypto projects before they scale. The article outlines how AI can scan white papers, marketing copy, team backgrounds, social media activity, fundraising claims, smart contract structures, and on-chain fund flows to detect patterns often linked to fake token offerings, multi-level referral schemes, and other illicit activity. It points to several concrete examples and policy signals. A June 2026 warning from Shenzhen’s financial regulator said bad actors were using labels such as “AI agents,” “AI quantitative investment,” and “Web3.0” to conduct illegal fundraising. The piece also cites the “Fun Coffee” virtual currency investment case in Hong Kong, which had drawn 225 reports involving HK$94 million as of early August 2026. Lawmaker Johnny Ng said the case involved a Ponzi scheme and a layered person-to-person recruitment structure. The article argues that AI can help by identifying templated white papers, fake community traction, fabricated investment claims, pyramid-style capital structures, rapid fund aggregation, abnormal rebate models, and wallet links to blacklists or mixers such as Tornado Cash. At the same time, it stresses that AI is not a final judge. False positives remain possible, decentralization does not equal illegality, and human review is still needed alongside data analysis and on-chain evidence.

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AI tools are being used to flag sham token projects and on-chain pyramid schemes
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