AI Agent · Bitcoin · Google · Ethereum · Decrypt
The findings came from ECDSA.Fail, an open competition launched by Eigen Labs in late May
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◎ Multiple-sources
The paper’s authors include researchers affiliated with Theta Labs, MultiVM Labs, Eigen Labs, Trail of Bits, StarkWare, and the Ethereum Foundation.
Key facts
- In July, Galaxy Digital committed up to $5 million to that work, while nine firms—including BlackRock, Coinbase, and Strategy—pledged a combined $15 million over three years for broader Bitcoin
- By July 26, participants had cut that score by 86%, from 10.75 billion to 1.496 billion
- The leading design used 1,151 logical qubits and about 1.3 million Toffoli gates
- The paper’s authors include researchers affiliated with Theta Labs, MultiVM Labs, Eigen Labs, Trail of Bits, StarkWare, and the Ethereum Foundation
Summary
More than 100 participants working with AI agents reduced the challenge’s resource score from 10.75 billion to 1.496 billion. The leading circuit used 1,151 logical qubits and about 1.3 million Toffoli gates, though comparisons with Google’s results carry caveats. A later design brought the gate count below 1 million; the results exclude the hardware costs of a full attack. Researchers working with AI coding agents reduced a resource benchmark for a key step in a potential quantum attack on the cryptography protecting Bitcoin and Ethereum by 86%, according to a paper posted Wednesday. In other words, they reduced the computing resources needed for uncovering a wallet’s private key, which could let an attacker steal its funds.