Claims

Iterative deployment of AI models with tight feedback loops is critical because AI and surprise don't go well together; people want gradual rollout and the ability to influence these systems, allowing society to co-evolve with technology rather than being blindsided by sudden capability jumps.

AI policy should prioritize 'winning' (maintaining U.S. technological leadership) rather than applying the precautionary principle (regulating hypothetical future harms before they occur), because AI is currently math-based automation with no sentience, self-improvement, or emergent intelligence, and over-restricting it would cede dominance to China.