[ethbr1]

> Embedded in your comment is the idea that AI might create boulder problems or routes in climbing gyms, and the human (or eventually robot) just follows that plan in bolting the holds to the wall.

This would follow the exact path image GenAI evolved through.

Step 1: Teach a model to recognize objects from noisy data.

Step 2: Reverse-feed that model random noise and force it to hallucinate that noise back into likely objects.

As there's probably physics simulation at some point in this particular scenario, there'd probably also be step 3 of simulating a climb through the generated path to validate feasibility / specific qualities.

It doesn't sound impossible.

[petsfed]

Its certainly not impossible, but that physics simulation is the biggest obstacle that I can see.