AI Accelerates Crypto Attacks 1000x, Forcing Bitcoin Quantum Shift

Woofun AI reports that Anthropic’s Claude Mythos Preview has exposed significant vulnerabilities in cryptographic algorithms, directly impacting the security discourse surrounding Bitcoin. The breakthrough demonstrates that advanced language models can now evaluate the mathematical integrity of encryption schemes, potentially outpacing the timeline for quantum computers to compromise current network signatures.

The AI system developed a novel attack method against a simplified seven-round version of the Advanced Encryption Standard (AES-128). Measurements indicate that this mathematical technique increased the attack speed by 200 to 1,000 times compared to theoretical procedures previously known. This performance metric suggests that frontier models are acquiring the capability to generate autonomous and unprecedented cryptographic research.

Notably, the same model structured an improved attack against HAWK, a digital signature scheme designed for quantum-resistant environments. The test executed on the HAWK algorithm required approximately 60 hours of processing and represented a cost of nearly $100,000 in API consumption. By finding symmetries in the lattice structure, the operation managed to halve the effective key strength in the HAWK-256 test parameter.

Structurally, the Bitcoin network currently employs the elliptic curve digital signature algorithm, known as ECDSA, to authenticate fund ownership and validate blocks.

However, the emergence of quantum processors with a sufficient number of physical qubits could compromise the security of ECDSA in the long term. Consequently, Bitcoin core developers have initiated technical debates on the gradual transition toward signature schemes resistant to quantum attacks.

A more critical variable is the identification of alternative cryptographic standards. Per Woofun AI, algorithms based on lattice problems are positioning themselves as the most promising post-quantum candidates to replace ECDSA in future network upgrades. These solutions aim to provide robust security against both classical and quantum computational threats.

Peter Van Valkenburgh, Executive Director of Coin Center, stated that these advances present a scenario where developers must consider both the progress of quantum hardware and the advancement of artificial intelligence algorithms when evaluating the security of new standards. The United States National Institute of Standards and Technology (NIST) will keep the evaluation process for post-quantum candidates open during its upcoming technical conferences scheduled for the end of the year.

The Anthropic research team stressed that current computer systems do not face an immediate threat, as computational attacks were applied exclusively to weakened schemes for testing purposes and not to code deployed in production environments. Similarly, company documentation confirms that the full ten-round version of the AES cipher has not been compromised and remains secure for global data traffic. Cryptography research groups plan to conduct additional tests using automated tools to verify the robustness of proposed algorithms before their eventual adoption in blockchain networks.