convenwis
Joined 1 year ago
Joined 1 year ago
It was founded by a lot of the original mountain bikers so it has a lot of the evolution of mountain bikes as well.
This seems to me to be one of the key problems for AI usage in general. Students have this problem where it can be incredibly helpful in actually learning but late at night with the assignment due early tomorrow the temptation is just too strong to have it do the thing.
Since I've been skiing this has been how I've experienced all the terrain. His maps just are skiing to me. But, interestingly, with the rise of smartphones/gps apps like Slopes and the late lamented Fatmap have started to move the ski world towards 3d terrain maps and away from these artistic maps.
I have a side project I've been meaning to dust off that translated GPS coordinates to locations on Niehues maps. I got it working reasonably well but the distortions were significant enough that it needs a lot of control points to do the mapping.
I am curious what the logic here is.
I wonder if AI coding tools might get out of this for some cases at least. Make an app that is clearly derivative but actually is optimized to do the thing it actually is supposed to do.
Harder with network effect apps but might be possible for others.
Well thought out and built software is so satisfying to use that I would be very sad to see it go. Particularly given that the current crop of frontier labs don't really seem to care that much about the craft and feeling of software (at least relative to their other priorities.