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 can’t speak for other fields, but I’ve worked in IT as a sysadmin for about a decade at a bunch of different companies, big and small.
I’ve never worked at a place that was close to “overstaffed” nearly every place I’ve worked we’ve needed at least 2-4 additional people.
Everybody was overworked, overwhelmed with tickets and projects, working 50+ hours a week constantly.
But upper management and executives love claiming that staffing is maxed out and needs to get more lean. Like, dude, our IT team is handling dozens of tickets a day, running 5-10 different infrastructure projects simultaneously, and keeping near-decade old equipment alive because we were denied our third budget request in a row.


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.


Aaaaaand example #99999… Of why tech sovereignty is so important. The moment you start outsourcing your control, you become vulnerable to this exact kind of action by a company.
Everybody got sucked into the cloud “magic” for years, but now we are seeing the monster emerge more and more as proprietary technology enshitifies.
Luckily, there is a boom happening across the FOSS world, more and more people are finally waking up to the principles of software freedom and actual ownership.
May it continue to grow, as the corpos struggle and wither.


As opposed to now, where companies copyright and patent their medications and sell them ultimately to…taxpayers who pay them billions of dollars a year in just out of pocket costs, let alone the scheme that is the American private insurance/healthcare system.
If taxpayers had to fund drug companies or research institutions for R&D without the insane middleman that is the private healthcare/insurance system, it would cost a fraction of what it does now.
On top of that, this assumes that people won’t do research for the good of society vs becoming filthy rich, which is a false assumption driven by Capitalist propaganda. Remember that the ultra wealthy CEOs and executives of these drug companies aren’t the ones doing any of the actual work or research. That is all done by scientists and engineers, who make a decent living, but none of them are incredibly rich from it, classic Capitalist exploitation at work.
Often times these drug companies (and the private equity firms that own them) don’t even primarily do R&D, they just purchase the patents and IP rights to drugs that are already on the market, and once they do that, they jack up the price often by hundreds of percent to increase their cashflow.
That cost gets sent to the insurance companies, which of course, they pass on to consumers, raising our healthcare prices year after year.
I want medical researchers, scientists, and engineers to make a good living, a very good living, their work literally saves and improves hundreds of millions of people’s lives worldwide. But you don’t need a CEO or executives, or private equity firms owning that space and making insane amounts of money, you just literally don’t.
There are millions of very smart and passionate people around the world who want to do this kind of work because they enjoy it, and they want to make a difference. Providing an open and rigorous academic and scientific structure to study and practice this is all you need. That already exists today, many medical breakthroughs came from publicially funded research institutes, which is the way it should be.


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.


Lol, the poor suckers who ever paid for premium in the first place.


So true! Also, productive screentime has been nice. Instead of doomscrolling or mindlessly zoning out to video essays, I’ve been programming, doing some 3D modeling for 3D printing, working on some simple games, and reading long form articles from my own curated news feed.


Ublock Origin, NewPipe, and Grayjay, haven’t seen a YouTube ad in over a decade. 😌


I mean, yeah…obviously. The amount of CEOs with any technical understanding of what they supposedly manage is just about zero.
And the AI grift is basically on the same level as the Religious grift, supposed spiritual leaders/gurus who convince people that they have some special connection to God/the universe/spiritual realms, etc.
And people eat it up, it’s been a thing for literally thousands of years. We are primed to want to belive it, and when it comes with membership in an exclusive club of other “true believers” , that’s a winning formula.


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.


Wish they handled it better, but I knew about this a while ago, and the price is more than reasonable.
A decade without a price hike is extremely generous, especially at how cheap their plan was.
They are a FOSS company that makes a fantastic product I’ve been happy with for years, I’ll gladly pay less than $2 a month to support them. Their server code is licensed with the AGPL, the strongest copyleft license there is, which gives me a lot of confidence.
Worse case scenario, they enshitify down the road, we are protected via the open source implementations. We’ve seen this many times in the past, Red Hat > Alma & Rocky Linux, Citrix Xen Server > XCP-ng, Terraform > Open Tofu.
Pay for your open source software, folks 💖
That’s a big one too, should catch lots of malware in that!


Yeah, those two look like they should be studying for their civics midterms, not cosplaying jackboot goons.
Never been so happy to sail the seven seas! 🏴☠️🥰🏴☠️ Jellyfin FTW