StarkWare, which conducted the research, says contest participants using AI tools made the computation about five times faster, though the $66 figure has not yet been demonstrated in another transaction mined on Bitcoin.
A week of AI coding cut a quantum-safe bitcoin transaction estimate from $320 to $66
StarkWare, which conducted the research, says contest participants using AI tools made the computation about five times faster, though the $66 figure has not yet been demonstrated in another transaction mined on Bitcoin.
StarkWare said AI-assisted coding reduced the estimated computing cost of preparing a quantum-resistant Bitcoin transaction to $66 from $320 by making the underlying search process substantially faster. The method could help eligible Bitcoin holders move funds if quantum computers threaten exposed public keys before the network adopts a broader fix, and it works without requiring a Bitcoin upgrade. The $66 figure has not been demonstrated in another mined transaction, and the method requires sending transactions directly to miners and cannot protect coins whose public keys are already exposed.
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.
Read More: Quantum-safe bitcoin now possible without a soft fork, but costs $200 a pop, new research shows
The $66 figure remains an estimate drawn from a test of the computation. The improved code has not been shown preparing another transaction mined on Bitcoin.
Applying the speedups displayed on the contest site to its listed $320 cost breakdown yields about $83, according to CoinDesk calculations. The site says later record-setting runs go beyond those measurements, without showing which results bring its transaction estimate to $66.
Meanwhile, the method also has limits beyond cost. These transactions have to be sent directly to a miner because they do not travel through the network in the usual way, and they do not protect coins whose public keys are already exposed, which is the group a quantum attacker would reach first.
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The Definitive Stablecoin Landscape Series: Asia Pacific
The Definitive Stablecoin Landscape Series: Asia Pacific
As stablecoins move into regulated finance, APAC is becoming a key proving ground. This report maps the region’s rules, use cases, and RLUSD’s role.
As stablecoins move into regulated finance, APAC is becoming a key proving ground. This report maps the region’s rules, use cases, and RLUSD’s role.
Why it matters:
As stablecoins move into regulated finance, APAC is becoming a key proving ground. This report maps the region’s rules, use cases, and RLUSD’s role.
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