I understood you and had the same issue. I solved it by using an Apple USBC to mini jack audio device instead of onboard. Not ideal. Not sure if it’s still a problem though.
Edit. My mistake I had the problem with Pulse not Pipewire.
I understood you and had the same issue. I solved it by using an Apple USBC to mini jack audio device instead of onboard. Not ideal. Not sure if it’s still a problem though.
Edit. My mistake I had the problem with Pulse not Pipewire.
I paid about $100 less to have my workstation shipped with Ubuntu instead of Windows 10 Pro 3 years ago. United States.
I find chat gpt to be useful for deciphering error messages, generally noticing things I missed. It’s also helpful for boilerplate code, essentially a customized form of stack overflow. Beyond that it really has trouble knowing what it’s doing. I can’t imagine trusting it for completing a large project. Helpful for minor optimizations though.
In this case the web server will temporarily exceed 1GB RAM and crash. It’s usually hovering around 700MB. I configured 4GB swap but I haven’t seen it use more than 1.5GB. I honestly doubt they would even have a way to know, but thanks for the warning.
Swap is super helpful if you’re running a web server on a 1GB RAM 2 CPU Linode instance!!
The syntax is easy, but the options change a bit depending on what you want to do. My entire job I requires me to use my brain so I don’t mind cheating when it doesn’t really matter as in this case. In my case I wanted a SQLite database to store URLs and playlist IDs for recording attempts and to make sure I don’t download the same video multiple times. I think I also had songs run thru music brainz for audio fingerprinting and mp3 tags. ChatGPT doesn’t get it right the first time but often gives a reasonable boilerplate piece of code as a template to start from.
Just delete it. You’re losing momentum.
Try 1/1/1969.
I have zero interest in learning all the intricacies of ffmpeg so I find ChatGPT to be very useful. I’ve also used it for yt-dlp for downloading videos and converting the audio to mp3. Very useful. I personally save them as bash scripts so I can just input the file name or url as a command line argument. On Mac you can also wrap your bash scripts in AppleScript if you want to make applets for these functions. ChatGPT works great for apple script as well but I’ve had to feed it source code (eg from Apple Digital Mastering applets) to ensure it writes the new code correctly. You still must know what you’re doing.
It’s a 120 GB Classic
I do have one and I have a Mac with iTunes Match (iCloud music syncing for iPhone). That said I keep most of my actual files on my Ubuntu machine and might want to experiment with the iPod at some point.
For anyone who uses Apple Music, I recommend the Cider app. I believe it costs $3 and you get versions for Linux, Mac, and Windows.
I haven’t found any MP3 players on Linux that I’m totally happy with. All of them have some trivial issue (eg not displaying Album Artist correctly).
You had me at BuzzOff!
How about an anti-Honey plug in that reminds you not to order when you’re trying to check out.
The whole point of fake coins is to trade them for real coins.
If you play Russian roulette with two bullets like a real man, then this model is about the same outcome!
Sounds like a job for JoMiran! Rooting for you!
I think a lot of the problem is every tutorial expects Fedora/RedHat/Ubuntu/Debian and it’s easy to figure out which instructions are compatible with your distribution, but there isn’t a good knowledge base for Fedora Atomic or related OS. I have a Bazzite VM. Normally I use Ubuntu and am familiar with RHEL compatible, but am constantly lost with Bazzite, trying to use the wrong instructions.
They need to give all interviews in with an Inspector Clouseau accent to let us know they are under duress like the US pilot who was put on TV during the first gulf war.
Tangentially related to the article: To get an idea of how this data helps aggregators, ask ChatGPT to develop a complete psychological profile of yourself.
My usage history consists of requests for basic programming questions, help wording certainty things, scripts, reviewing documentation (eg organization policy), and a couple things goofing off (eg put my cat in a tuxedo). Just based on the types of questions I’m asking, and how I ask questions, and how I redirect it’s output via follow up questions, it was able to put together a profile that was surprisingly accurate.
It had a few things wrong, notably related to how organized or self disciplined I am. But if it had my calendar, by browser history, my biometric data (eg watch info), my location, it would easily be able to fill in the gaps. If the system only existed to help me, it would be tremendously valuable. But since the owners of this tech are all adversaries I am terrified for the future. The idea of the US federal government using it to profile citizens is too much to contemplate.