America isn’t prepared for world models

So Russell Wald of Stanford's Institute for Human-Centered AI has decided to warn that policymakers are unprepared for 'world models' — AI systems that can affect the physical world in ways that make today's LLM governance debates look like a quaint tea party. Wald's statement that 'debates will change when AI can affect the physical world in a different way' is the kind of understatement that makes you wonder if he's seen the same regulatory track record we have: the gap between what's being built and what's being governed is widening from a crack to a chasm while everyone's still arguing about chatbots.

Wald's warning comes as world models — which can simulate and interact with physical systems, from supply chains to infrastructure — are advancing faster than the policy frameworks meant to contain them. The notion that we need 'different governance than LLMs' suggests someone has finally noticed that regulating a text generator is not quite the same as regulating something that could, say, optimise a power grid into a blackout. It's heartening to see academia catching up to the obvious, though one might have hoped for this insight before the models started peeking out of the lab.

What's particularly delightful is the timing: this warning arrives in the same week that The Irish Times called self-regulation a dangerous myth, and yet the policy machinery continues to grind at its glacial pace. Wald's intervention is another polite cough in a crowded room where everyone's pretending not to smell smoke. The real question isn't whether America is prepared — we know the answer — but whether anyone will bother to prepare before the world models start making decisions we can't undo.