I learned, “Please excuse my dear aunt Sally.”
Parentheses Exponents Multiplication Division Addition Subtraction
Always eat your greens!
I learned, “Please excuse my dear aunt Sally.”
Parentheses Exponents Multiplication Division Addition Subtraction


I personally think that general consumers will never use LLMs in any significant number. I think that LLMs will exist in two distinct spaces, FOSS for devs and other technical people who want to run there own infra locally - and B2B for everything else.
The few big AI companies that manage to last will be selling access to their models for much higher prices. Probably similar to current proprietary commercial software like VMWare, SolidWorks, VEEAM, Splunk, etc. Companies will pay hundreds, possibly thousands of dollars per seat depending on the niche offering and amount of usage.
Suppose that a company developed an LLM that is trained & tuned specifically to do legal work, and suppose it produced work that was around 95% the quality of a typical paralegal. If that company charged $6,000 a year per license to work on their platform, that’s expensive, but if you’re a small firm with say, a dozen full time lawyers, then for the yearly price of a single average paralegal, you could have each lawyer using that software to do most of the work that the paralegal would have done. I can see those kinds of applications happening more and more.
This assumes though that LLMs will continue to improve at a significant rate for a long time into the future, (5-10 more years) which isn’t at all obvious, and there is some evidence that it’s already starting to hit a ceiling.
There are other ways it might work, like if there is a method of compression that is discovered that reduces the necessary RAM and Compute needs by 2-3 orders of magnitude. So models that are considered very large today (100-300 billion params at full quality) might be able to run effectively on a single 32GB GPU that costs a few thousand dollars.
So the cost to run these models is reduced immensely, and a single small data center could run enormous models with 1,000,000+ context windows for tens of thousands of users at once.
But that cuts both ways, which is something that any AI company is going to have to deal with. Once small free models get good enough to do the vast majority of a task, a user is going to start weighing the cost/benefits, and the prospect of just buying a box and throwing one of these models in for a few grand will be very appealing.
I think there may be a good market out there for “AI boxes”, compact computers designed to run a tuned LLM, set up with a little special sauce so the interface is user-friendly, etc. Companies could sell these with support contracts to legal firms, indie Dev studios, startups, small government agencies, etc.
Idk, it’s so up in the air right now, and everything is constantly changing so fast. It’s impossible to predict where things will be in 6 months, let alone 6 years from now.


I’ve been loving Incus containers for this very use case. Unlike Docker, Incus containers are by default persistent, and are full system containers, not just applications. So when you launch an Incus Debian 13 container for instance, you get a full Debian 13 installation, but at a fraction of the size of even a small traditional VM.
It’s a great happy medium between Ultra-minimal Docker containers designed for single applications, and old-school heavy VMs.


Dang, crazy how secure everything is now because of AI! They were correct, we can fire all the cyber security experts and devs right now, AI can do it all so much faster and better, right?


Yes, absolutely, science in general is necessary for any kind of desirable civilization. Space exploration contributes a massive amount of knowledge to scientific research and betters the human race.
But it shouldn’t be a playground for billionaires to plan space hotels for ultra-wealthy clientele. Public works for the public good, for the betterment of our human race as a whole, not just for the super rich.
Gaming PC - Nobara (Fedora base with lots of gaming-specifc kernel optimizations baked in.)
Personal laptop - Linux Mint
Business laptop - Linux Mint Debian Edition
Junk/Test laptops - Void
Home lab main hypervisor - XCP-ng (Highly customized Fedora under the hood.)
NAS - TrueNAS (Debian under the hood.)
Virtual servers - Mostly Debian, but a few Alma Linux VMs to get that RHEL experience. Ubuntu Server for my self-hosted gaming servers.
Steam Deck - SteamOS (Valve’s immutable spin of Arch.)


Trans women are women in the sense that they are filling their society’s sociological role that surrounds the expected concept of a woman. That will be different depending on many factors, and will have many different aspects including their pronouns, fashion and clothing, voice, makeup, hair, activities, and so forth.
Just like any other woman, they will chose which social roles they desire to fit into, and which ones they don’t, and all of that is completely acceptable.


“My friend says the story is stupid and no one would want to read it.”
That’s not real constructive feedback. If your friend has actual critiques of your concept, that’s one thing, but just saying something seems stupid is meaningless and carries zero weight.
Don’t let people live their life and your life too. If you’re passionate about an idea, try it and see if it works. Worse case scenario, it fails, and you learn from it and get lots of practice for your next idea. Which still might be bad, but it will almost certainly be less bad, and same with the next, and the next, and before you know it, you have hundreds of hours of practice and experience and you’re creating real cool stuff.
Also, sometimes ideas are good, but you currently lack the skill to execute them well. That just means you need to increase your skill level. An idea that fails badly when you first start out, might turn out fantastic 5 - 10 years down the road.
Film directors/writers sometimes talk about this, where they had an idea or a script for a movie that they wanted to make, but they didn’t have the budget and necessary experience to do it justice early in their career.
TL;DR Your friend’s “feedback” is worthless, if you’re really passionate about this idea, go for it. Worst case scenario, you gain a bunch of experience trying to make it.


GrapheneOS, love it.


Waterfox on Mobile has been working well for me so far.


I’ve been using Graphene for several years and I love it. I could never go back now, Google android feels so incredibly bloated and invasive by comparison.
Double check your backups just to be safe, and then go for it. It’s not hard to revert if you hate it. There is a big of a learning curve, mainly just using the alternative app stores like Accresent, F-Droid, etc.
But once you spend a bit of time getting your apps installed and your system set up the way you like, you’ll love it.
Awesome to hear!
+1 for Linux Mint, it’s what I recommend to 99% of newbies. It’s simple, stable, and friendly.
It’s my #1 “just works” distro
Why not both? 🤓


I mean, it’s intended to be an insult because the implication is that Reddit sucks.
I personally never understood the “Redditor” insults.
Reddit is just a forum directory with an infinite feed. You can find cringey weirdos but there’s also subreddits for potted plants, chess, home improvement, etc. which are pretty mundane and low drama.
I left Reddit for similar reasons, but I still use it sometimes for troubleshooting and advice in the IT/Programming space.


Haven’t had a Motorola in many years. Hopefully this works out well and we get a really nice piece of hardware that isn’t subject to the whims of Google.


Start with Linux Mint. It’s similar in vibe to older Windows, (think Windows 7/10)
You can use the GUI for everything, even major version upgrades, driver installations, and Kernel changes.
It comes with everything you need to get started, and their software portal is easy to use and get stuff from, including gaming staples like Steam, OBS Studio, etc.
Day-mon, every Linux admin I’ve worked with, old and young, pronounces it that way too, so that’s where I picked it up.
I’ve never heard of people deliberately pronouncing it like that to avoid offending Christians though, seems like an American take lol.
I thought that it was just an archaic spelling of the modern demon and an alternative pronunciation to clairify that the speaker is referring to a technical part of an OS, not making a joke about the spiritual nature of the machine lol.
It sounds cooler to say day-mon anyways IMO.
Thanks for the response. I’m doing great now. Got a new job as a sysadmin making about 35% more than my old job, and I get to work on Linux a bunch, and my team is really solid.
Still sucks that I lost all that work, but I was able to get some of the old hardware back for free, so my old servers can live again in my home lab.
I’ve thought for a long time that if a FOSS project wants to use Discord as its primary community center, they should build it on Matrix and have a bridge to Discord as a secondary.
That way, they get the larger reach and visibility of Discord for more of the normie crowd, without compromising their core FOSS user base and forcing them into proprietary solutions.