In thousands of songs, I’ve never noticed Picard doing anything to the length of the files. I tend to manually review every album by running it through Picard and letting it handle the renaming and tagging. That structure used to be Artist/Year Album/Song. I’ve been less strict about naming the songs themselves. It’s always at least track - Title, but sometimes Artist - Album - Disc # - is prepended. Eventually I ran into a situation where I had multiple versions of a release/album with different enough content to warrant keeping both, so now I throw a release ID number (if is exists) after the album name, and inside brackets, for the directory name.

It’s a very flat structure by design, so I’m never quibbling about where I sourced something or what particular genre it is when I’m looking for it. That dramatically reduces the likelihood of duplicates too. Real metadata is better left to tags, since that’s mostly what any player will see anyway.

If I’m having trouble getting Picard to recognize something it always because: musicbrainz.org is missing the release, doesn’t have acoustic ID, or Picard preferred the album track when I’m trying to rename and tag a single or EP. Adding the release info and acoustic ID to musicbrainz is easy and I can usually use the info before the release is even reviewed, but often in trying to add the release I’ll find the correct one and now I can help fill out the data about it.

I treat musicbrainz.org as MY metadata database. If a release is missing or has problems, I do the work to make it better. It’s good digital citizenship and learning about their rules for releases helps me manage my server better.

A relevant xkcd bot is really the only AI I want in my life.

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His family name was actually Drumpf. His immigrant grandfather Americanized it on or shortly after arriving in America.

Fun fact, North Dakota (home of the idiot cop and criminally evil prosecutor) has a fewer people than the city of San Francisco in about 150,000 times the acreage. Put another way, there are about 268,000 people per electoral vote in North Dakota compared with about 728,000 people per electoral vote in California and about 670,000 people per electoral vote in Tennessee (home of the grandmother).

Hey now. Hillbillies are a proud Appalachian cultural tradition. The grandmother, being from Tennessee, might have been a hillbilly. And it might not have been an insult for her to self apply that label. The idiot cop and asshole prosecutor were in North Dakota.

Wouldn’t be very good at reading if stupid typos and blinders blunders like this tickled my consciousness. Not every language even cares what order you line those words up too much, go ahead and put the important words at the beginning (or the end if you’re an asshole), conjugations will sort it out.

Edit: Fucking autocorrect almost got be again when I tried to fix the typo. I fucking typed blunders both times, a real word that exists and makes sense in context, unlike fucking blinders! Dumbass “AI” autocorrect!

Fascism is seductive, that’s the biggest problem.

Everybody is just trying to look cool. Everybody probably looks like a “poser” to someone else. And in a cruel twist of irony, the inventors and early adopters of some “cool” new thing, look derivative and boring years AFTER everyone else has done it. Kids don’t have a long memory for these kinds of things; they grew up in a world where it was already old news and boring, never having experienced a world without it. This shift in perception can happen sometimes even among people old enough to have been there at the beginning. So yeah, they are just a bunch of posers trying to look cool, but aren’t we all?

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That’s not what the articles says or implies at all. The article only refers to another article with a click bait headline. The article article summarizes Canonical stance like this:

• Canonical will add AI to Ubuntu — but only cautiously and when it truly makes sense.
• AI features must be mature, open-source, and run locally when possible.
• Focus AI on accessibility (speech-to-text, TTS) and improvements, not turning Ubuntu into an ‘AI product’.

And to be clear, including a tool or default workflow is MILES away from patronizingly forcing it on to users. It’s just the way that most distros that aren’t Linux From Scratch work.

The idea is to have the server safely shutdown BEFORE it loses power, so that BIOS setting wouldn’t mean anything. The server does not loose power while it it running, so it will never “restore last state after AC loss”. The idea is that you can run a low power device (the raspberry pi) for which you don’t care if power is cut abruptly and that can talk to both the UPS and the wake-on-lan of the server directly over ethernet. It being local means those WOL are much more likely to work than trying to send them from outside your network when you’re remote. It’s a lot simpler to set this up once than it is to recover a server with a corrupted file system due to power loss or lose access to your server for weeks because a thunderstorm knocked out power for 30min at the beginning of a long trip. That pi can also take care of other always on services like a pi-hole, home assistant, etc.

It’s my understanding that he didn’t put himself at risk for the adrenaline, he did it because he valued the safety of the animals he cared for above his own. I seem to remember him explaining his reasoning on his show. There are lots of devices and drugs that can be used for protected contact so that animal handlers are never put at serious risk, but all of them can and do sometimes go horribly wrong for the animals in addition to being very traumatic in ways that it can be difficult for humans to conceive. He didn’t do it without thought either, it being clear that the techniques he used required an intimate knowledge of those animals and their behaviors. He didn’t die wrestling a croc or handling a venomous snake. He died from being to close to an animal he likely had much less familiarity with.

According to the article it was royalty free and published open standards, but they do not make any claim to this being an FOSS system.

I don’t think that’s going to go the way you think it will. Exhibit A: Freeing the Genie

Could they not think of an original name? Calling it YouTube-dl is just unnecessarily lazy and confusing. This appears to be mostly a docker image of yt-dlp, which is itself a fork of youtube-dl.

Well, it seems that every time a search engine’s AI gives me a definitive and wordy “answer” to a question I search and provides a helpful citation of the page from which it got that answer, it is ALWAYS just a completely hallucinated answer that the cited page in no way supports. This isn’t just hyperbole, this has been my experience with every single search engine AI summary

And I find myself having to go back and fix the autocorrect that my phone keyboard “helpfully” makes with increasing frequency. It used to be that autocorrect would just fix a typo when I’d obviously typed gibberish because I missed a key. But now, it is regularly replacing entire words that I’ve typed completely correctly with some other word that makes absolutely no sense.

I’m all for some specific uses of AI. Things like speech to text or images to text? Sure that’s a great use. But when it comes to research, writing, or spreadsheets, AI tools just need to shut up and stay the fuck out of my way. I’m becoming convinced a little more everyday that anyone using AI to summarize articles or search results is a complete moron and shouldn’t be trusted.

Same energy as:

You know, I can eat a peach for hours.

Could be

Clarissa Explains It All maybe?