Partially true. They've been trained and then aligned towards a preferred style. They don't use em-dashes because they are over-represented in the training material (majority of people don't use them).

It seems likely that with the written word, as with most things, a minority of people produce the majority of content. Most people publish relatively few words compared to professional writers.

Possibly the LLM vendors could bias the models more toward nonprofessional content, but then the quality and utility of the output would suffer. Skip the scientific articles and books, focus on rando internet comments, and you’ll end up with a lot more crap than you already get.

Regular banks create new money all the time (loans). There’s no difference to the central bank conceptually as far as I understand, they both record debits/credits to accounts (double entry).

Ah yes, who needs the Federal Reserve when you have Kansas' own Emprise Bank.

Eating a lot of food is tiring and you have plenty of energy stored from the previous day(s) food.

Unlikely in non-english languages (I seem to remember some super wide Arabic "single character" ones...?)

Last I’d checked, “﷽”is the widest Unicode character.

It depends on the font, of course. Some renditions look like regular Arabic text, others are much narrower: https://fonts.google.com/?preview.text=%EF%B7%BD&script=Arab

It's rendering visibly narrower than the big dash up thread for me, on FF on Android. (Maybe HN's stripping one or more of the combining chars though, so it's not actually showing what you meant in full?)

I fear for the children who had to memorize this.

It isn't a special letter or symbol in arabic, it's just a regular sentence that was added to unicode since it both holds symbolic meaning in islam and is used often enough to be useful. Some fonts render it like any other arabic, making it look like one big sentence as a single character, but others render it as calligraphy

Just found another way to make my designer panic. We're launching Arabic soon too!

So does Apple Mail, for anyone wondering.

I cancelled my Spotify the other day in favour of listening to my own archive. I’m admittedly an outlier though.

No one who regularly watches biased news sources does so while acknowledging the constant bias. And I don’t think most people think the BBC is unbiased, it’s constantly attacked as having bias to both sides of the aisle ironically. The BBC is far from perfect but it’s in a different league to Fox News to the point that it feels disingenuous to suggest you’d be better off watching Fox News while telling yourself that you’re filtering out the bias.

Why would you nest paragraph tags?

They are not nested, according to HTML5 parsing rules. You get 3 (yes, three) sibling paragraphs, including an empty one.

There being nesting is just implied by the closing tags and indentation. But it is not actually there. I think this is the point of the example: Adding the closing tags just confuses the reader, by implying nesting that is not actually there, and even introduces a third empty paragraph. It might be better left out entirely.

X is just an awkward name to say out loud, I don’t think most people have given it much thought.

What does Navidrome add over streaming music via Jellyfin, is it just better more tailored client apps? The music client apps for JF are a bit bare bones, although the streaming itself I've found to work perfectly.

The Subsonic API is pretty fantastic and the apps that support it are full-featured. The Jellyfin app, while completely capable of streaming music, is far far less feature-ful.

Personally I use Gonic rather than Navidrome, because I don't care about a web UI, but if you go to the Navidrome website and look at the "Apps" page it lists every Subsonic API compatible app. There's a lot.

None of the alternatives seem To have anything close to the radio/recommendation power of Spotify. I don’t know how they ever could - they don’t have the massive data Spotify has in listening history combined with playlists and their descriptions… on top of building world class ML audio analysis models.

I’d love have my own local mp3s get this super power. I just don’t see it happening. Plex has their own attempt but it’s no where close.

Seems redundant to get recommendations from your own mp3s. And "radio" would just be playlists on shuffle.

You can decouple discovery from offline music experience. Outside certain genres that I'm not deep into, there's almost nothing I get rec'd on Spotify that I didn't already know of from other sources.

I agree, I don’t need recommendations from my own library. I know when I am in the mood for a particular album, and if not, it’s much more pleasant to glance through my Artists list than to trust some jerk at Spotify to tell me what I want. Especially since they are now actively trying to replace the music on their mood playlists with royalty-free stock Muzak.

For discovery, there are plenty of (especially linear) streaming music sources that are dirt cheap or free, anyway.

To be honest, it may be my music taste, but the recommendations I get are extremely boring and are just rehashes of my liked songs..

But it may be that I hit a bug quite some times ago where each offline downloaded song got added to the liked songs playlist and even though I manually removed quite a few of those, it may have corrupted my user profile.

If you scrobble to a service like last.fm you get something approaching this functionality. This is something built into most of these services.

I also use gonic over navidrome (and formerly airsonic) because Navidrome doesn't support folder view (and apparently never will). As nice as Navidrome is, that's a dealbreaker for me. Gonic works great though.

I too prefer folder view (tags are a complete unwieldy mess, and there's far too many artists to merely list by artist). I will look into this. What do you run it on?

Docker on Linux. Gonic, navidrome and airsonic (and airsonic-advanced, the fork I used) all have docker images available.

For me folder view is partially just what I’m used to, but even with good tags some kinds of music is easier to look up by folder (clsssical).

The streaming works well, but I like the focus on audio and performance of Navidrome. I've cycled from Plex/Plexamp to Jellyfin and am happiest with Navidrome.

I've written a client for Navidrome however, so I'm biased by the investment in time that required.

I've also spent time working with several of its private APIs to track my own listening activity.