TREE NEWS reports: A crowdsourced challenge involving more than 100 researchers and AI agents cut the estimated quantum cost of a key step in attacking Bitcoin and Ethereum by more than half, driving a quantum benchmark down 86% over two months. The figure now sits well below Google’s March estimate.
Quantum Cost of Bitcoin and Ethereum Attack Step Cut 86% in Two Months
The headline number is less telling than the mechanism: a crowdsourced, AI-assisted effort compressing a benchmark this fast suggests the cost curve for quantum attack research is being shaped by open collaboration rather than any single lab. That matters for Bitcoin and Ethereum because their security assumptions rest on elliptic-curve cryptography, and the relevant question is whether this pace reflects genuine capability gains or benchmark-specific optimization. Whether the decline continues at this rate, and whether it translates into end-to-end attack feasibility rather than a single step, is the open question worth tracking.
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