Introduction: A Persistent Failure
Since the 1990s, governments have attempted to control the spread of sensitive digital technologies. However, from PGP to Mythos, history shows that these efforts have hardly prevented the dissemination of these innovations. The recent spotlight on Anthropic's AI models, Fable and Mythos, and their export ban by the U.S. government, once again illustrates the inefficacy of these measures.
The Beginnings: PGP and the Age of Encryption
In 1991, Phil Zimmermann created PGP (Pretty Good Privacy), an encryption program designed to protect electronic communications. However, the U.S. government quickly saw the rise of strong encryption as a potential national security threat. Export control laws were applied to limit the distribution of PGP outside the U.S., classifying the software as munitions.
Despite these restrictions, PGP spread globally, largely thanks to the open-source community that helped distribute it. By 1996, these laws were relaxed, but the damage was done: strong encryption had become an international standard.
Spyware and the Challenge of Surveillance
The rise of spyware in the 2000s posed another challenge. Governments attempted to restrict the export of these technologies to prevent them from falling into the wrong hands. However, the black market for cyber espionage flourished, showing how difficult it is to effectively control technology in an interconnected world.
The Current Case: Mythos and Frontier AI
In 2026, the situation repeated itself with Mythos, an AI model developed by Anthropic. Intended to help companies secure their infrastructures, Mythos was quickly pulled from the international market after national security concerns were raised by the U.S. government. The speed with which Anthropic had to respond shows the pressure tech companies face to comply with government directives.
But do these measures truly curb the proliferation of these technologies? The limited access to Mythos even before the ban, with only 150 authorized organizations, shows that Anthropic was already aware of the risks. However, as with PGP, current restrictions merely delay the inevitable spread of these technologies.
Lessons from History
Examining these cases shows that export controls have often failed to limit the spread of critical technologies. The reasons are manifold: the pace of technological innovation outstrips that of regulations, and tech communities often find ways to bypass restrictions.
For decision-makers, this implies that a different approach is necessary. Rather than attempting to contain these technologies, it might be more effective to develop regulatory frameworks that encourage innovation while safeguarding national security.
Conclusion: What Solutions for the Future?
It is time to rethink export control strategies. For tech companies, this means working hand in hand with governments to establish standards that protect without stifling innovation. The key is open and constructive dialogue that acknowledges security needs while valuing the potential of new technologies.
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