CONNECT WITH US
Web3 & Blockchain

Web3 & Blockchain

A week of AI coding cut a quantum-safe bitcoin transaction estimate from $320 to $66

CoinDesk logo

Published on

Add as a preferred source on Google
A week of AI coding cut a quantum-safe bitcoin transaction estimate from $320 to $66

A week of AI-assisted coding has brought the estimated GPU cost of preparing a quantum-resistant bitcoin transaction down to $66 from about $320, according to StarkWare, the company behind the research.

The earlier figure came from a transaction mined on Bitcoin in August. Preparing it took roughly 3,100 hours of computing time across a fleet of about 100 graphics processors. That $320 was the cost of the computing work done before the transaction reached Bitcoin, separate from the fee paid to put it on the blockchain.

StarkWare then opened the code to a competition. Participants, many working with AI coding tools, tried to make it search through possible solutions faster. The leaderboard shows a leading submission checking about 881 million candidates a second, against roughly 146 million for the starting code on the same benchmark graphics processor.

The work addresses a possible future threat to Bitcoin. A sufficiently powerful quantum computer could use a wallet’s exposed public key to work out its private key and steal the coins. StarkWare’s method adds a form of protection based on hashes, which are expected to withstand that attack. It fits within Bitcoin’s existing rules, so trying it did not require the network to approve an upgrade.

As such, the method is an emergency option for moving eligible coins if the quantum threat arrives before Bitcoin adopts a broader fix. Using it widely would be expensive at $320 of computing per transaction — and a lower bill could make the option more practical.


Source link

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We TheMorningPulse.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It's possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.