The problem is the github issue has hallucinations and incorrect technical terminology. It really shouldn't be used for this purpose, it's pretty selfish to expect maintainers to consider something that you used LLM for in my opinion. I don't think that's elitist, is it really all that difficult to write a feature request on your own, especially if you've already done the hard part (the research)?
AmbiguousProps
Nice, thanks.
I mean, sure, but LLM issues are currently plaguing open source projects. Curl, for example: https://gist.github.com/bagder/07f7581f6e3d78ef37dfbfc81fd1d1cd
If someone isn't passionate about something enough to write their own request, why would the devs be passionate about implementing it?
Yikes. Why would the devs implement anything created by LLM? It shows that the requester (you, in this case) isn't passionate enough to sit down and write something on their own.
This also grinds my gears. Calling everything related to machine learning or LLMs "AI" is fully part of the grift. It's important to make the distinction.
So we're filing LLM slop for Lemmy issues now? Also that's a pretty poor choice for a name.
what comes around is all around
Yes, especially if they work with Proton. Check ProtonDB.
Quadlets are so good.
I just use caddy and don't use any port rules on my containers. But maybe that's also problematic.
Usenet doesn't need VPN over SSL, just saying 🫣