Breaking! AI nuclear-level vulnerability weaponized in just 4 hours, is the "$BTC and $ETH 'digital gold'" narrative facing an ultimate stress test?

A AI model named Mythos has been deemed “too dangerous to release” by its creator. This incident is like a boulder thrown into calm waters, with ripples quickly spreading to Wall Street and the U.S. Department of the Treasury. Treasury Secretary Scott Bessent urgently convened financial executives to assess defenses and attempted to directly access the model.

The assessment from the UK AI Safety Research Institute confirmed concerns: Mythos’s ability to launch complex cyberattacks indeed surpasses existing tools like ChatGPT and Gemini. However, the report also pointed out a key detail: large banks are not the most vulnerable targets. The real exposure to deadly risk lies in hospitals, small retailers, and other weakly defended sectors.

Understanding the core of this crisis hinges on a sharply compressed time window. Market analysis indicates that from the disclosure of a software vulnerability to the appearance of usable attack tools, this cycle has shrunk from an average of 771 days in 2018 to less than 4 hours today. The advent of generative AI allows hackers to input vulnerability details into chatbots, instructing them to scan public code repositories and quickly identify similar attack patterns.

In recent months, the threat has entered a more dangerous phase. The rise of proxy AIs means AI is no longer just an assistant providing attack suggestions but can autonomously execute operations and attempt different breach paths—an “automated hacker.” Mythos takes this further, possessing the ability to chain multiple vulnerabilities and launch multi-step composite attacks—skills once exclusive to top human hackers.

This directly undermines the cornerstone of cybersecurity practices built over decades—the “responsible disclosure” principle. This principle assumes that after vendors disclose vulnerabilities, customers have weeks or even months to patch. But when the attack window shrinks from 771 days to 4 hours, the entire patching process’s logical foundation collapses.

For large financial institutions with top-tier resources and teams, near real-time patch deployment might still be feasible. But for the vast number of small and medium enterprises, they lack the technical capacity for rapid response and cannot wait for regulatory frameworks to intervene promptly. Hackers have always scanned the internet for these weak “soft targets” to extort. The evolution of AI has escalated these targets from “dangerous” to “desperate.”

This evolution poses a profound systemic challenge to the world of crypto assets, especially core assets like $BTC and $ETH. When the underlying IT security buffers of critical infrastructure—such as exchanges, custody services, and payment gateways—disappear, any breach in related links could trigger chain reactions. This is not about vulnerabilities in the $BTC code itself but about the increasingly digitalized financial environment it relies on becoming unprecedentedly fragile.

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