The Learning Loop. By getting things wrong faster and more often.

Expertise isn't stored in information — it's formed in the gap between attempt and correction. We've had fast information access for decades. It hasn't made people faster at building judgment. What slows learning down is the feedback cycle: try something, wait for a reaction, adjust. A design review. A failed prototype. A client who didn't respond. Each cycle teaches something, but the throughput is low.

What AI can actually change is that rate. More attempts, more quickly evaluated. The correction cycle compresses. And that compression is where real learning happens — not from reading more, but from getting things wrong faster and more often.