AI Models That Actually Understand Interaction

Here's the thing nobody talks about enough: most AI models right now are like kids who can think but can't actually do anything without asking an adult for help. They need external scaffolding, plugins, APIs, all these extra layers just to interact with the real world. It's clunky. It's slow. It works, sure, but it feels like we're building with training wheels still on.

The new interaction models flip that script. Instead of the model calling out to external tools, it handles the interaction natively, built right into how it thinks and responds. Think about what that means for a developer: fewer integration points. Less latency. Fewer places where things can break. The research preview shows early results where this approach actually scales — as the model gets better, the interactivity gets better too, and they improve together instead of independently.

Why does this matter? Because right now we're treating interactivity like an afterthought, bolted on after the fact. But if intelligence and interaction are the same problem solved the same way, everything gets simpler. Fewer hacks. Fewer workarounds. The model just works with what you throw at it. That's the bet here.