On: The White House Is Going to Expand Its AI Policy

The White House wants to expand its AI policy. Wait - expand? The thing that hasn’t worked yet? The thing they’ve been “grappling with” for years without actually regulating? That thing?

Here’s the thing you have to understand. If the policy were any good, we wouldn’t need to expand it. A good policy is a closed loop: it measures what matters, corrects what doesn’t, and stops when the job is done. But this one isn’t closed. It’s a leaky hose, squirting definitions into the dark and hoping something sticks.

They say they’re adding “open models” to the framework. Fine. What’s an open model? A black box with a license plate? If it’s open, let’s open it all the way. Show me the training data, the evaluation metrics, the failure modes. If it’s closed, call it closed. Don’t dress it in a lab coat and call it science.

Wait - this is the same crowd that once said, “We’ll just nudge the industry.” Nudge? Against a force this strong? A nudge is what you give a shopping cart with a wonky wheel. This is a runaway train.

The real question isn’t how to expand the policy. It’s why the policy keeps failing. The anomaly is right there: every expansion is a confession of the last one’s inadequacy. That’s not regulation. That’s a man running in circles shouting, “I’m gaining on it!”

I’d rather see a single, sharp scalpel than a drawer full of dull butter knives labeled “policy.” Cut to the physics. What actually must be true for this to work? Nothing in the announcement answers that. Nothing ever does.