The justification for accelerating AI development to beat China is logically flawed. It assumes the victor wields a controllable tool. In reality, both nations are racing to build the same uncontrollable AI, making the race itself, not the competitor, the primary existential threat.

Top American AI labs intentionally limit their models' capabilities in sensitive areas like cybersecurity and biology to prevent misuse. This "self-hobbling" creates a strategic vulnerability, forcing them to rely on less-restricted foreign models, like China's Kimmy, to solve complex security incidents they can no longer handle themselves.

A significant portion of China's AI progress is "parasitic," relying on copying or reverse-engineering breakthroughs from leading US labs. Therefore, a unilateral US slowdown on R&D could be the most effective way to slow down Chinese AI development, contrary to the logic of a competitive race.

A US policy that slows down its own AI labs for safety is logically flawed and self-defeating unless it also effectively slows China's progress. Unilateral deceleration doesn't make the world safer; it simply cedes ground to a less safety-conscious competitor, increasing net risk.

The argument for slowing down AI development for safety is consistently met with one rebuttal from US tech companies: 'because of China.' This fear of falling behind in a geopolitical race is the primary driver of speed, overriding concerns about social destabilization and risk.

Both experts caution against using the "race against China" as a primary justification for rapid AI advancement. They view this argument as a rhetorical tool often wielded by domestic AI companies and government agencies to bypass safety concerns and push their own agendas.

An unintended consequence of stringent safety measures on American frontier models is that they often refuse security-related queries. This perversely pushes cybersecurity professionals to use less-restricted Chinese open models for essential tasks like vulnerability analysis, creating a strange competitive and security dynamic.

The fear that a US slowdown will let China race ahead is flawed. China's AI progress largely relies on a "fast follow" strategy, reverse-engineering US breakthroughs. Stopping US frontier research would remove the trail they are following, slowing down the entire global race, not just the American side.

The proposal for US AI labs to slow down development is undermined by the fear that China won't reciprocate. Chinese labs are effective at incremental progress on existing paradigms, creating a classic security dilemma where any US pause could cede the technological frontier.