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.
Ah, I see.
> The AI just generates potential solutions to the problem once the holds are found/placed
Yeah and I think that's really going to be the sweet spot for generative tools for the forseeable future.
> Its easy enough to shotgun holds up onto the wall based on some imagined sequence, the real skill of route setting is to (as the GP pointed out) figure out what's physically possible and also fun and challenging.
Right right. I have a feeling that making a more convincing substitute is primarily a matter of having less access to data than say, paintings and photography which are certainly not less nuanced than this creative task. But as I said, a lot of people care about how something was made, too. I'll bet that's going to be a much bigger factor, at least in marketing, than many realize in the near future.
What's really wild to me is how somebody would recognize a mid-tier poster from a website I thought effectively defunct for nearly 10 years now.
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. I expect that for a long time, AI generated climbing routes would rarely be good, but would consistently be physiologically impossible, feature uninteresting movement, or be too easy.
Its easy enough to shotgun holds up onto the wall based on some imagined sequence, the real skill of route setting is to (as the GP pointed out) figure out what's physically possible and also fun and challenging.