Arch is great when you’re somewhat experienced with Linux. Otherwise I recommend an Arch + QoL distro like EndeavourOS.

I’m a developer using Linux for well over a decade and a half and I use EndeavourOS because it just adds a level of ease.

Downside is that it won’t work if my internet or power is out

If it doesn’t work when your internet is out, then it’s not local.

I’ve tried Zerotier before and it doesn’t hold a candle to Tailscale.

Tailscale

It’s WireGuard based and it’s completely free for 100 devices.

It is very good for boilerplate code

Personally I find all LLMs in general not that great at writing larger blocks of code. It’s fine for smaller stuff, but the more you expect out of it the more it’ll get wrong.

I find they work best with existing stuff that you provide. Like “make this block of code more efficient” or “rewrite this function to do X”.

Bad take. Is the first version of your code the one that you deliver or push upstream?

LLMs can give great starting points, I use multiple LLMs each for various reasons. Usually to clean up something I wrote (too lazy or too busy/stressed to do manually), find a problem with the logic, or maybe even brainstorm ideas.

I rarely ever use it to generate blocks of code like asking it to generate “a method that takes X inputs and does Y operations, and returns Z value”. I find that those kinds of results are often vastly wrong or just done in a way that doesn’t fit with other things I’m doing.

This isn’t a “random” YouTube channel.

The monitors blacking out and the system not booting is suspicious.

I think you’ve said you tried a few distros. Does the exact same behaviour happen on all distros?

If possible, I would suggest giving it all another go with x11 instead of Wayland. Nvidia is still the worst for using with Wayland. It’s gotten a lot better, and it’s almost there for complete support, but there are still some issues here and there.

Go vegan

I swear vegans are eventually going to out class religious people for pushing their own beliefs.

Sony is just as bad in their own ways.

Did you really just try to excuse and downplay a company claiming full ownership and rights over all user’s data?

I genuinely have no interest in anything he does any more

This was me when he started trying to shoehorn his kid into the spotlight with those cringe interviews and that really awful movie about not being scared of aliens or whatever. I care about it so little that I can’t remember the name of the movie and have zero interest in looking it up.

This comment about not caring about Will Smith is the maximum effort I’m willing to put into anything related to him.

Most of that is in the kernel anyways.

Now what about time travel?

Technically, Marty McFly should have appeared in space far from anything instead of old man Peabody’s Pine farm.

they are dumb as fuck

This isn’t an argument in the way you think it is. Something being “dumb” doesn’t exclude it from possessing intelligence. My most metrics toddlers are “dumb” but no one would ever suggest in seriousness that any person lacks intelligence in the literal sense. And having low intelligence is not the same as lacking it.

Can you even define intelligence? I would honestly hazard a guess that by “intelligence” you really mean sapience. The discussion of what is intelligence, sapience, or sentience is far more than you’d expect.

follow a stupid algo

Our brains literally run on an algorithm.

the data make them somewhat smart, that’s it

And where’s the intelligence in people without the data we learn?

They don’t learn anything by themselves

I don’t know what you even mean by this. Everything learns with external input.

I could do that with a few queries and a database.

The hell you could! This statement demonstrates you have absolutely no clue what you’re talking about. LLMs learn and process information in a method extremely close to how biological neurons function. We’re just using digital computation instead of analogue (the way all biology works).

LLMs have regularly demonstrated genuine creativity and even some emergent properties. They are able to learn certain “concepts” (I put concepts in quotes, because that’s not the right word here) that we as humans intrinsically know. Things like “a knight in armour” are likely to refer to a man, because historically it was entirely men that became knights, outside of a few recorded instances.

It can also learn general distances between cities/locations based on the text itself. Like New York city and Houston being closer to each other than Paris.

No, you 100% absolutely in no way ever could do the same thing with a database and a few queries.

But either way, I never considered LLMs to be A.I. even if they have the possibility to be great.

It doesn’t matter what you consider, they are absolutely a form of AI. In both definition and practice.

Ya, I was a fairly big Nvidia defender for the past few years. I used a ton of their stuff for my last job, and genuinely didn’t have any issues with them (all Linux systems, gaming and AI workloads).

But their recent actions have really soured my view of them.

It is true. Most all tech news outlets covered it.

Well, right after that Nvidia amended their license agreements stating that you cannot use CUDA with any translation layers.

The project you’re thinking of is ZLUDA.

SFF is an entire class of desktop computing with multiple product lines from HP, Lenovo, Dell, etc.

The Intel NUC was a unique subset often called a “mini pc”.

Businesses buy SFF systems all the time. My point was simply that SFF should be favoured over laptops in many cases, instead of being the default employee device within a company.