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If an AI model like Anthropic's Mythos is capable of causing 'cataclysmic' economic damage, it may be too powerful for a private company to control. This raises the serious argument for nationalizing such technology, similar to how governments control bioweapons or nuclear capabilities, to manage the immense systemic risk.

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The principle that governments must hold a monopoly on overwhelming force should extend to superintelligence. AI at that level has the power to disorient political systems and financial markets, making its private control untenable. The state cannot be secondary to any private entity in this domain.

Ben Thompson argues that AI companies like Anthropic cannot operate in a vacuum of ideals. The fundamental reality is that laws and property rights are enforced by the state's monopoly on violence. As AI becomes a significant source of power, the government will inevitably assert control over it, making any private company's defiance a direct challenge to the state's authority.

Anthropic's new AI model, Mythos, is so effective at finding and chaining software exploits that it's being treated as a cyberweapon. Its public release is being withheld; instead, it's being used defensively with select partners to harden critical digital infrastructure, signifying a major shift in AI deployment strategy.

When a private company creates a "digital skeleton key" capable of compromising critical national infrastructure, it fundamentally alters the balance of power. This moves the policy conversation beyond simple regulation and towards treating AI labs like defense contractors, with some form of government nationalization becoming a plausible endgame.

Analyst Dean Ball warns against nationalizing advanced AI. He draws a parallel to nuclear technology, where government control secured the weapon but severely hampered the development of commercial nuclear energy. To realize AI's full economic and consumer benefits, a competitive private sector ecosystem is essential.

The US and China view AI superiority as a national security imperative comparable to nuclear weapons, ensuring massive state funding. However, this creates a major risk for investors, as governments may eventually decide to nationalize or control leading AI companies for military purposes, compressing multiples.

CEO Dario Amodei reportedly gives employees 'The Making of the Atomic Bomb,' suggesting he views powerful AI as analogous to nuclear technology. This implies he anticipated an inevitable confrontation with the government that could lead to nationalization, not just a simple commercial partnership.

Ben Thompson argues that if AI is as powerful as its creators claim, they must anticipate a forceful government response. Private companies unilaterally setting restrictions on dual-use technology will be seen as an intolerable challenge to state power, leading to direct conflict.

Alex Karp believes the societal response to widespread AI job displacement won't stop at regulation or taxing the rich. He predicts a powerful political movement will emerge to nationalize the core AI technologies, reframing the debate from control to outright public ownership.

The most powerful AI models, like Anthropic's Mythos, are so capable of finding vulnerabilities they may be treated like weapon systems. Access will likely be restricted to approved government and corporate entities, creating a tiered system rather than open commercialization.