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Frontier AI Models Can Find Crypto’s Biggest Bugs. Experts Warn the Industry Isn’t Ready

Frontier AI Models Can Find Crypto’s Biggest Bugs. Experts Warn the Industry Isn’t Ready

In brief

  • Security researcher Taylor Hornby used Claude Opus 4.8 to discover a four-year-old flaw in Zcash’s Orchard privacy pool that could have enabled unlimited counterfeit ZEC creation.
  • Cybersecurity researchers say frontier AI models are increasingly capable of finding cryptographic and logic flaws that previously required deep specialist expertise.
  • Experts warn that capabilities approaching today’s most advanced vulnerability-discovery systems could become widely available within months.

A security researcher using Anthropic’s Claude Opus 4.8 uncovered a critical flaw in Zcash’s Orchard privacy pool in a matter of days, exposing a vulnerability that had survived four years of review by leading zero-knowledge cryptographers.

The…

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