My problem isn't really filtering out the AI (there's plenty of options for that) is just the void left by people posting and working on AI things, writing about how AI is great, stupid, useful, useless.
I know it's the nature of HN to be centered (nay, fixated) on the latest things, but I think I'm the wake of so much AI content, the people who would have otherwise done something else are doing AI things or posting elsewhere
As others have pointed out there are still fun things, but I feel like there are quantifiably fewer things that I enjoy on here, every week.
I used to love scrolling hn first thing in the morning and now I rarely do
yeah, ... I can't say that I love certain aspects of this era we're all living in
despite everything, I think there are people out there who care a lot, and who are doing good work, and I'm hopeful that if we care enough we can sort of redirect this wave into something good for the world
I've got a large, local library in Apple Music—the application, not the service, they need a naming czar—amassed over decades of purchases. The auto-lookup from iTunes/Music is fine, but I find a real joy in having correct metadata. All those mix CDs from high school!
I care less about high-quality album art than Apple execs do, I think, and I likewise don't bother too much with all the meta tags, but it's surprising how often the CDDB or Gracenotes or whatever Music.app uses are wrong, have typos, miss information, etc. I scrobble listens, so it's a natural progression for anything new or clearly wrong.
I think of it like tending a garden, and find it quite peaceful. It's clearly not for Regular People™ like so much else here. Every other person in my life is happy with "Unknown Artist - Unknown Album - Track 2" or just using a streaming service.
Picard was extremely useful to me when I decided to put all my audio on a streaming server in a local container (Navidrome). I used it extensively about five months ago. I find MP3 tags (and all the various formats and syntax) a nightmare usually but this was bearable. Picard was great.
I just recently went through my whole library with Picard and it worked well while the UI was definitely geared for power users. Really happy with the end result.
There was one UX papercut that ended up messing some data on tracks that I had to correct later: fields with multiple values, like "Artists", show the multiple values like "Beats and Styles; Toni W.". But the field in the UI is also editable as a text field, and if you manually write that with the semicolon, it stores one artist with the semicolon included! It took me a while to realise that I can right click to open an editor where multiple values can be entered and edited separately.
I've used it to successfully organize my messy library of (then) 50 thousands songs back in 2014. It's great if you can wrap your head around the weird ass workflow.
The plugins/extensions have also been proving quite useful, there are now quite a lot more available and useful ones. I've managed to incorporate some into my workflow.
I am. As the other commenter mentioned the workflow is very odd, and the UX of the app could do with massive improvements (haven't checked V3 yet), but it does a good job and I'm grateful to the devs for it.
2. Even when you do import a full album, it often struggles to match tracks. Here's part of a transcript I saved:
Match (29.3%):
StarSystems - Lift
≠ artist, album, tracks, unmatched tracks
MusicBrainz, CD-R, 2019, GB, None, None, None
https://musicbrainz.org/release/7c68b7ff-27c0-4da7-8430-d4228c6f6ff8
≠ Artist: -> StarSystems
≠ (#0) StarSystems - Arrival [2238026155].mp3 (1:08) -> (#1) Arrival (1:08)
≠ (#0) StarSystems - Slipstream [1268364723].mp3 (6:23) -> (#2) Flower (6:25)
≠ (#0) StarSystems - Trigger Fish [1805252711].mp3 (5:06) -> (#3) Party Time (5:03)
≠ (#0) StarSystems - Moth [857985311].mp3 (4:51) -> (#4) Moth (4:51)
≠ (#0) StarSystems - Vortex [1717930774].mp3 (5:38) -> (#5) Vortex (5:38)
≠ (#0) StarSystems - Flower [3129604796].mp3 (6:25) -> (#6) Slipstream (6:23)
≠ (#0) StarSystems - Party Time [545976708].mp3 (5:03) -> (#7) Trigger Fish (5:06)
≠ (#0) StarSystems - Lift (feat. Jordan Rudess) [3330158657].mp3 (8:09) -> (#8) Lift (feat. Jordan Rudess) (8:09)
≠ (#0) StarSystems - Disengage [526901544].mp3 (2:01) -> (#9) Disengage (2:01)
Unmatched tracks (1):
! (#0) (5:06)
Apply, More candidates, Skip, Use as-is, as Tracks, Group albums,
Rescan directory, Enter search, enter Id, aBort?
Look at tracks #2, #3, #6, #7. Why is it trying to switch the names around, even though the original name + length is right, and the new name + length is wrong?
Picard has worked flawlessly for me so far, it's just a shame it can't be automated.
I'm sure this is not the origin, but Bez is a celebrity in England, a member of a 90s band called happy Mondays who didn't sing or play anything but just danced. Famous on the panel show circuit
Jev noob here. I'm seeing all this jev talk and I understand the difference between this and normal models, but what are some actual use cases for jev?
Moderation or prompt injection prevention. In place of using a LLM to classify a message you use a decision model. It should be way less susceptible to injection. Or at least the injection is less impactful than getting full bash access.
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