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Khosla asserts that international AI safety treaties are naive and impossible. Unlike nuclear or biotech, where usage can be verified, AI's deployment is covert. He argues that authoritarian states like China and Russia cannot be trusted to abide by agreements you cannot monitor, making such treaties ineffective and dangerous for the West.

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Unlike nuclear weapons, AI is too complex and fast-moving to be managed by formal treaties alone. True safety requires 'organic transparency,' where rich economic, cultural, and scientific engagement between nations builds the trust and informal oversight necessary to prevent catastrophe.

Unlike nuclear weapons, which require rare materials like plutonium, AI relies on widely available silicon chips and public knowledge. The information to build large language models is accessible at an undergraduate level, making international treaties to pause or control AI development practically impossible to enforce.

Tech leaders state they would support an AI development pause if competitors, especially China, also agreed. This is a strategic PR move, as they know a global consensus is unachievable. It allows them to appear responsible about AI safety without any actual risk of having to slow down progress.

Formal AI verification is difficult. The necessary trust can be built through "organic transparency"—the informal knowledge gained from deep economic, cultural, and scientific engagement. When business people and scientists from rival nations interact frequently, it creates a baseline understanding that makes formal governance agreements more achievable.

The common analogy between regulating AI and nuclear weapons is flawed. Nuclear development requires physically trackable, interceptable materials and facilities like enrichment plants. In contrast, AI models are software and weights, which are diffuse and far more difficult to monitor and control, presenting a fundamentally different and harder regulatory challenge.

The popular comparison of AI to nuclear weapons has a critical flaw. Nuclear regulation relies on tracking scarce, physical, and interceptable fissionable materials. AI, as software and weights, can be copied and distributed far more easily, making the nuclear non-proliferation playbook a poor and dangerous model for AI governance.

International AI treaties, particularly with nations like China, are unlikely to hold based on trust alone. A stable agreement requires a mutually-assured-destruction-style dynamic, meaning the U.S. must develop and signal credible offensive capabilities to deter cheating.

Claims that AI treaties are unverifiable lack imagination. During the Cold War, the US and USSR agreed to saw bombers in half on runways, allowing spy planes to visually confirm disarmament. Similar 'outside-the-box' physical verification methods, like publicly escrowing or destroying GPUs, could work for AI.

The AI 2040 plan's call for major countries to declare AI compute inventories and jointly escort model weights mirrors the complex, often fraught, world of nuclear non-proliferation. This highlights a critical vulnerability: the difficulty of achieving and enforcing global agreements, which could easily be undermined by defecting nations.

International AI treaties are feasible. Just as nuclear arms control monitors uranium and plutonium, AI governance can monitor the choke point for advanced AI: high-end compute chips from companies like NVIDIA. Tracking the global distribution of these chips could verify compliance with development limits.