I've considered building a separate app that's similar but oriented around the idea of using voice of pictures to update things (with AI extracting and formatting the data for you to review). But alas making yet another tool isnt ideal.
However, UX can also be improved by some simple heuristics that could be seen as mechanistic by the standards of modern LLMs.
Performance and responsiveness, for example, contribute to UX even when the UI remains fixed. I’d wager Fable-level LLMs could improve perf on most open-source GUIs by benchmarking typical use cases and progressively applying standard tricks like caching, buffering, batching network calls.
That would appear to leave me with the choice of just using it for myself (lame) or I then have a public fork to maintain :(
If there's basically no shot of it getting up streamed I think I'd rather make something from scratch to suit my needs without the extras.
Anyway, I hope the AI overlords help us fund more maintainers soon!
I believe most consumers of OSM just discard data like buildings and crosswalks and layer on top auto traced data which has 100% coverage.
I got pretty into OSM for a while and that's definitely the thing that eventually put me off... So much stuff has multiple ways to be mapped, and it gets confusing/overwhelming. I understand that OSM has a very malleable data model, and that definitely has many benefits, especially for niche/edge cases. But I do wish the community had arrived at a settled convention for at least the most basic stuff, like the aforementioned sidewalks.
That's less true for niche stuff (vs stuff where two different ideas are in wide use), but there probably isn't all that much of it either.
One way to approach it is to not worry too much about it, consistency can come later.
I do understand that even if does get replaced eventually, it still was useful for a while, and probably served as the basis for whatever came after.
But still. For whatever reason, in my brain, it just diminished whatever psychological reward I got from adding information to OSM, which is a shame.