24 karma · joined April 6, 2014
Based on the article it seems like the only information before the change was "some day in january we will change prices" which would not be enough for me as a customer...
Edit: https://wiki.openstreetmap.org/wiki/Rivers Explains it quite well with some graphics.
You need an OpenStreetMap-account, then long tap on the place, "actions", "Create POI" - enter the name and the type (restaurant, wastebin, whatever...) and save it.
If you're used to it and know the categories it takes maybe 30 seconds to do it everytime you visit a new restaurant or to add a new shop when you're waiting for the bus.
> I'm not afraid of change
If that minor issue is a reason to recompile a whole ui-toolkit, then I guess you should just stop applying any os update at all...
Edit: But thanks for the information :)
I'm sure AI will close that gap ;)
The Ukraine has/had a relevant IT-offshoring sector, from Wikipedia there's around 1/3 of the soviet military industry that was sitting there (including companies like Antonow)... and they had a few years of preparation since the krim was occupied where they knew that russian secret services would try to undermine any kind of communication infrastructure.
I doubt that they currently rely on WhatsApp for military communication...
I guess the farm tractor killed way more jobs (from potato harvesters, cereal harvesters, ...) than AI would even in the most utopian ways. But that doesn't matter: Both tractors and AI would and did shift wealth from the working class to the owning class. So I don't get why the "above" would try to not give GPT-4 the training data that they currently own anyway...
For him, ChatGPT and similar stuff works great. And I can totally see why. But for maintaining a full-time complex codebase where the code is less about 'make it work' but rather about 'make someone in five years understand what and why things are happening' it still seems like a no-go.
My personal experience is: - Writing some boilerplate/copy-paste testing code might turn out fine, but I still need to check it and that takes more mental effort than to just copy-paste-adapt with well-known keyboard shortcuts. - Writing business-relevant production code that is readable, maintainable and concise: Forget AI (at least for now).
On good days I try to use and adapt to LLM-generated code, but at the end of the day, when I have to get things done I turn them off: It's easier to reflect and build a complex system without someone constantly "trying" to bullshit you... After all the LLM does not (yet?) know about all the details, the why and all other things that produce something readable, correct and concise.
In the Organic Maps-app, in osmAnd and in MagicEarth long tapping on a place returns the nearest street name or address.
There's similar functionality on github (but I haven't found documentation for it)... Example: https://github.com/shirou/kptool/commits/master.atom