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.

Historically the strength of Apple was that they didn't ship things until they actually worked. Meaning that the technology was there and ready to make an experience that was truly excellent.

People have been complaining for years that Apple isn't shipping fast enough in this area. But if anything I think that they have been shipping (or trying to ship) too fast. There are a lot of scenarios that AI is actually great at but the ones that move the needle for Apple just aren't there yet in terms of quality.

The stuff that is at a scale that it matters to them are integrations that just magically do what you want with iMessage/calendars/photos/etc. There are potentially interesting scenarios there but the fact is that any time you touch my intimate personal (and work) data and do something meaningful I want it to work pretty much all the time. And current models aren't really there yet in my view. There are lots of scenarios that do work incredibly well right now (coding most obviously). But I don't think the Apple mainline ones do yet.