The traditional government model of setting a regulation and waiting years to assess it is obsolete for AI. A new approach is needed: a dynamic board of government, industry, and academic leaders collaborating to make and update rules in real-time.

McLaren Racing uses AI to analyze competitors' radio chatter for changes in voice tone, acting as a real-time lie detector to expose strategic bluffs. This is combined with AI analysis of thermal imaging to verify rivals' claims about tire wear, providing a significant competitive edge.

The idea of nations collectively creating policies to slow AI development for safety is naive. Game theory dictates that the immense competitive advantage of achieving AGI first will drive nations and companies to race ahead, making any global regulatory agreement effectively unenforceable.

In Formula 1, durable success comes from operational excellence, not sustainable strategic power. Clever rule interpretations or design innovations provide only a temporary edge before rivals copy them. Long-term dominance, like Mercedes' eight-year streak, is a result of superior competency in engineering, design, and execution rather than a defensible strategic moat.

A16z argues we are in the "Wright Brothers moment" of AI. Regulating foundational models now—which are essentially just math—would stifle fundamental discovery, akin to trying to regulate flight experiments before airplanes existed. The focus should be on application-level harms, not the underlying technology development.

An FDA-style regulatory model would force AI companies to make a quantitative safety case for their models before deployment. This shifts the burden of proof from regulators to creators, creating powerful financial incentives for labs to invest heavily in safety research, much like pharmaceutical companies invest in clinical trials.

The competitive landscape of AI development forces a race to the bottom. Even companies that want to prioritize safety must release powerful models quickly or risk losing funding, market share, and a seat at the policy table. This dynamic ensures the fastest, most reckless approach wins.

Because AI is so new, there are no established best practices or regulations for its use. This creates a critical but temporary window where every organization's choices matter more. The precedents set now by early adopters in business, government, and education will significantly influence how AI is integrated into society.

The race for AI supremacy is governed by game theory. Any technology promising an advantage will be developed. If one nation slows down for safety, a rival will speed up to gain strategic dominance. Therefore, focusing on guardrails without sacrificing speed is the only viable path.