![](https://beehaw.org/pictrs/image/c0e83ceb-b7e5-41b4-9b76-bfd152dd8d00.png)
fair enough, I had not tested any other distros, my bad.
fair enough, I had not tested any other distros, my bad.
https://forums.linuxmint.com/viewtopic.php?t=343833
You can search duckduckgo for Nvidia mok secure boot mint and you’ll see what I’m talking about.
https://unix.stackexchange.com/questions/535434/what-exactly-is-mok-in-linux-for#535440
“works for me”
That’s not a protip. A protip would be how you do that :D
RTX3060, I suspect this is the case for newer laptops, yes.
Me installing Linux Mint on a 2022 laptop with a Nvidia GPU (had windows 11 preinstalled, this was an alongside install). I disabled secure boot at first, but still had to go all the way back and set up my MOK keys and turn on secure boot properly with another password to unlock the GPU.
You can’t disable secure boot if you want to use your Nvidia GPU :( though. [edit2: turns out this is a linux mint thing, not the case in Debian or Fedora]
Edit: fine, there may be workarounds and for other distros everything is awesome, but in mint and possibly Ubuntu and Debian for a laptop 2022 RTX3060 you need to set up your MOK keys in secure mode to be able to install the Nvidia drivers, outside secure mode the GPU is simply locked. I wasn’t even complaining, there is a way to get it working, so that’s fine by me. No need to tell me that I was imagining things.
All hail Emacs :) 🙌
Considering that training is extracting the main features of a dataset, there is always some data that is discarded as “noise” in the process, then when data is generated, that discarded information is filled back with actual random noise to partially replicate the original data.
Iterate and you’re going to end up with progressively less meaningful features. I just didn’t expect it to take only 5 iterations, that’s a lot of feature loss in training even with so many parameters.
Didn’t they ask why you got banned? What did you do, what did you dooooo?
Thanks, I was just testing the bot, but something failed. Thanks for the tldr, yea I guess electrolysis only pays for aluminum, because there is no other way to get it :/ maybe hydrogen too.
Maybe the best option for plastic that ensures it won’t end up in nature and is not too expensive is incineration powerplants.
Welp, I guess I only have 3 videos left on youtube then, it was a good run. Then it’s off to invidious and when that goes, probably peertube will have enough content :)
We’ll live. Long live the fediverse (and old-school forums)
BTW: was there ever or is there any sort of listing for all sorts of hobbyist or thematic forums? The main reason I never used many of them was because I never came across them and admittedly it was pretty easy to do that in reddit just by typing r/doesacommunityforthistopicexist
edit: is there some similar listing for mastodon? I’m having trouble finding a type of technical-oriented crowd.
Ok, when I said worse, it was from this point of view: in some subchans, I’ve seen some smart conversations and advice there among the 95% neverending jungle of slurs (they probably see that as a feature, not a bug). In yt: never, the medium simply doesn’t work to make people talk.
I heard he’s going to make a big announcement…but given his history, it may actually have to do with some artifacts he wants to find down there :)
I only disagree with one thing on that: youtube is not a social media platform. It is horrible for discussions, topic discovery and organization, the comment sections and chat are worse than 4chan. It is a video diffusion platform, but not truly social media.
If you know any community that’s not heavily moderated and does not look like 4chan, lemmy know.
Anybody know where they’re going? I’ve seen some in mastodon, some in substack, some just on linkedin…but other than rss there is no easy way to follow a larger crowd of posters from different sources.
As much as I think that the Reddit and twitter soap operas are nothing but a time sink over what is a relatively simple cautionary tale, I can’t look away from this train wreck. “Y, elon?” is the new “fuck u/spez”.