Bitcoin Cryptography Watched After Claude Cuts HAWK Work 67 Million Times

Crypto News

Bitcoin (BTC) is not directly compromised by Anthropic’s latest AI research, but the findings have pushed cryptographic security back into focus for the largest crypto network. The company said its Claude model identified new weaknesses in two encryption systems, including HAWK, a digital-signature scheme designed to resist future quantum computers. HAWK had been examined by human specialists for about two years without a public failure, yet Claude found a hidden mathematical pattern in roughly 60 hours. The company’s research paper said the effort needed to recover the smallest HAWK key dropped from 2^64 steps to 2^38, a reduction of about 67 million times. That does not mean Bitcoin’s current signing model is broken. Bitcoin uses a different elliptic-curve signature framework, and the newly reported attacks do not touch that system. Ethereum (ETH) also relies on a separate signature framework, and the reported experiments do not indicate a present operational risk. Still, the result matters because it shows how quickly AI can test assumptions that previously depended on slow human review. For holders, the practical question is not an immediate threat, but whether long-term network planning keeps pace with faster cryptographic discovery. The issue also touches tools that users may trust daily, from an AI crypto wallet to custody platforms that rely on standard encryption. Anthropic said the simple fix for HAWK is painful: double the key size, which removes much of the scheme’s original efficiency appeal. That trade-off is now relevant for standards reviewers, because a candidate algorithm that needs larger keys may lose its reason for selection. The finding puts NIST, Google, and other infrastructure planners on notice that AI-assisted cryptanalysis can arrive before migration schedules are complete.

The second part of Anthropic’s disclosure centers on AES, the encryption standard that has protected most internet traffic since 2001. The company stressed that Claude did not break full AES. Instead, it attacked a reduced version using seven of the usual ten scrambling rounds. The model developed a shortcut called the Möbius Bridge, which removed one guessing step and sped the leading known attack by 200 to 800 times. That result is technically important, but it is not a collapse of the production cipher that browsers and exchanges use today. The more striking operational detail is the verification gap. Claude worked alone for three days, while two human experts spent nearly a month checking the answer. That asymmetry suggests AI can generate cryptographic findings faster than institutions can validate them. For crypto markets, the concern is less a sudden exploit and more the pace of assurance around wallets, nodes, data centers, and any AI trading bot that handles sensitive keys or session data. The timeline is also moving outside the sector. Alphabet’s Google has planned a migration to newer protections by 2029, while US agencies face a 2031 quantum-readiness deadline. Those dates matter for Bitcoin because large custodians, exchanges, and payment rails must update surrounding systems even if the base layer remains unaffected. The research also raises questions for every altcoin ecosystem that depends on conventional web security, because users often interact with chains through encrypted front ends rather than directly with protocol cryptography. Anthropic has hinted at additional unreleased results and plans an academic workshop, meaning the review cycle is only starting. That makes independent replication, not model speed, the next bottleneck for standards bodies and enterprise security teams.

COINOTAG’s reading is that the thematic arc is acceleration: AI is compressing cryptographic discovery, while human verification and standards migration remain slow. The primary-source research paper shows concrete reductions in HAWK attack work and a faster reduced-round AES path, but it does not establish an immediate threat to Bitcoin or Ethereum base-layer signatures. Market conditions show caution rather than panic. COINOTAG aggregate data place the Fear and Greed Index at 29/100, a Fear reading, with Bitcoin dominance at 69.6% and total crypto market capitalization at $1,841,615,081,038. That mix suggests investors are still favoring the largest asset while the broader infrastructure sector adapts. The key variable is not today’s exploit count, but whether assurance pipelines can scale.