ayaya

Sorry, I misinterpreted what you meant. You said "any AI models" so I thought you were talking about the model itself should somehow know where the data came from. Obviously the companies training the models can catalog their data sources.

But besides that, if you work on AI you should know better than anyone that removing training data is counter to the goal of fixing overfitting. You need more data to make the model more generalized. All you'd be doing is making it more likely to reproduce existing material because it has less to work off of. That's worse for everyone.

What you're asking for is literally impossible.

A neural network is basically nothing more than a set of weights. If one word makes a weight go up by 0.0001 and then another word makes it go down by 0.0001, and you do that billions of times for billions of weights, how do you determine what in the data created those weights? Every single thing that's in the training data had some kind of effect on everything else.

It's like combining billions of buckets of water together in a pool and then taking out 1 cup from that and trying to figure out which buckets contributed to that cup. It doesn't make any sense.

If the model isn't overfitted it's also not even copying. By their nature LLMs are transformative which is the whole point of fair use.

For me on Arch, Flatpaks are kinda useless. I can maybe see the appeal for other distros but Arch already has up-to-date versions of everything and anything that's missing from the main repos is in the AUR.

I also don't like how it's a separate package manager, they take up more space, and to run things from the CLI it's flatpak run com.website.Something instead of just something. It's super cumbersome compared to using normal packages.

Same here. Switched to Arch in 2015 so I am also coming up on the 9 year mark. I have had very few issues, and the ones I have had were usually my fault for doing something stupid. I used Windows, OS X, and Ubuntu previously and compared to those Arch is a dream. Hence why I've stuck with it for so long now.

No it works perfectly fine with a mod for uncapped FPS

https://librewolf.net/

Obviously you've never used Arch btw. We live for the sudo pacman -Syu.

I pretty much never reboot the Pi. It currently has over 18 months of uptime on it. My NAS on the other hand I probably restart for one reason or another maybe once every 6 months. So yeah I'd say I reboot it minimum 3x more often.

Plus a reboot takes much longer on my NAS than on the Pi. The server board is slow to start, the SAS cards are slow to start, and unRAID is slow to start. Then I need to manually enter the password for disk encryption. Then wait for the array to start up. Then wait a bit more for the docker containers to start. Add all of that up and even the absolute fastest reboot is like 10 minutes while the Pi probably takes 30 seconds.

And what if I want to swap hard drives? Now it's down for an hour. I guess I could wait until 3am to do all my upgrades so everyone is asleep, but I'd rather not. I suppose if it were just for myself it would matter a lot less. But again, it's only $15 to not have to think about it at all.

You can tell Act 3 had the least amount of polish put into it. Act 1 and 2 feel very carefully and intentionally designed. You can tell they planned everything out. Act 3 feels like it was rushed and they had to make a lot of compromises.

The pacing is the most obvious thing but there's also stuff like why is Gortash, the literal ruler of the city, being sworn into power in a random fort in the lower city instead of you know... the actual castle?

I used to do that, but it comes with the problem of your DNS going down any time you want to restart or do a hardware swap on your NAS. Or since it was running in docker something as simple as reloading docker would knock out the internet for a few minutes. It's worth the $15 to have them operate separately.

$80? I run mine on a Pi Zero that I got for $9 with a $6 wired network adapter for a grand total of $15. No problems for a household of five with one of us (me) being an extremely heavy user.