

-> …profit?
They’re already hitting the storage side of things pretty hard.
Buy up all of the hardware on the planet to have a monopoly on compute/storage -> rent the compute/storage to everyone who can’t buy it.
See also: Housing


-> …profit?
They’re already hitting the storage side of things pretty hard.
Buy up all of the hardware on the planet to have a monopoly on compute/storage -> rent the compute/storage to everyone who can’t buy it.
See also: Housing


“We wanted to show that you wouldn’t accept this in the analogue world,” said Finn Lützow-Holm Myrstad, the council’s director of digital policy. “But this is happening every day in our digital products and services, and we really think it doesn’t need to be that way.”
We’re at a point where tech companies have given away easy solutions to all of our problems to the point that nobody actually knows how to use the technology that they rely on.
How do people listen to music? Spotify
How do people watch videos? Netflix
How do people talk to your friends? Meta/X/Whatever
All of those services seem like a great deal, they give you things for free/cheap and you never have to take the effort to figure out what a codec is or how to manage your own media. People pay for these services with their privacy, freedom and permanent reliance on tech companies to give them access to technology (and $10/mo, $12/mo, $13.99/mo, $15/mo, $20/mo)
These services have created a dependency that they’re now exploiting. What does someone do when Netflix raises their prices? Their technological skillset limits them to operating the Play/App Store so all of their other options are similarly bad options offering the same Faustian bargain.
The solution is simple and also difficult: learn to use the technology that you depend on and stop using the services that require you give up your privacy and freedom.
There are entire communities of people who’ve already made this leap. Look into the Privacy/Self-Hosted/Homelab communities, they are full of people who’ve rejected the idea that technological services are only available as a product where you have to give up control over your digital life to purchase. The Free and Open Source community is made up of a huge amount of people who volunteer their time to create software that is available for you to use or modify as you’d like.
It isn’t easy. Most people have spent the majority of their lives learning to use software created by Microsoft, Google and Apple. They’ve spent hundreds of hours learning how to use Facebook or iOS and this creates a strong incentive to stay on these services. Learning these things was a waste of time and have become the hook that keeps you stuck in enshittification land.
I know that people don’t want to hear ‘Well, you just need to learn Linux/Docker/FOSS software’, but that’s the solution that we have collectively arrived at in this alternate world where we’re rejecting commercial software/service providers.
Nobody is coming to save you from this problem, there’s isn’t going to be a not-enshittified Norwegian Netflix opening up next year for you to subscribe to. You have to be the change that you want to see in the world.
Come and join us.


I’m doing my part.gif


I’m mostly looking for something that works out of the box without needing too much setup.
Sir, this is a c/selfhosted.
Building systems to solve problems is the hobby. You understand the motivation, you have a problem and there are not any easy solutions. At this level it’s a lot like working with Legos, there’s a bunch of software that you can snap together to get result that you’re looking for, though you will sometimes need some scripts to glue it all together.
But if you know any simple way to plug LLM into Beeper without getting too technical, would love to hear about it.
n8n is useful for creating arbitrary AI workflows. Designing a workflow is mostly graphical though a bit of simple scripting could be useful, depending on your requirements. It looks like it has a Matrix node already: https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.matrix/
Typically a coding LLM can cover your bases on this kind of simple scripting, even if you don’t personally know how to code (though, as with all LLM code output, test it on dummy data before you plug it into production).


What could go wrong giving one unhinged billionaire access the the collective intelligence of multiple sovereign nations.
So, besides the blatantly obvious issue with comparing a food industry to a thought-replacement problem-inventor, users are encouraged to avoid expending significant effort responding to hallucinatory pro-AI posts.
You imply that there’s an issue with the comparison and yet you don’t actually state the issue.
You’re instead using argumentum ad populum (https://en.wikipedia.org/wiki/Argumentum_ad_populum) in place of an argument. Essentially, ‘Everyone knows what my argument would be, it’s so obvious, so I won’t make it’.
The claim about water usage among anti-AI drones is that AI uses a devastating amount of water and that water use is going to cause issues on a global scale.
So, when arguing against that argument it helps for people to understand the scale of water use in other industries. This let’s them compare AI usage of water to existing uses of water. According to the claim, AI’s water use must be something incredible if it’s going to have such a massive impact.
That claim simply doesn’t hold up reality. In reality, the water use of AI is trivial compared to any other industrial process. There is no ‘AI water problem’ (outside of deserts and areas with resource constraints).
The amount of water that the global AI industry uses is tiny. To show how tiny, compare it to any other industry. I’ve chosen corn. In that comparison, the scale of AI water use (which, remember is a horrible problem that’s an emergency… haven’t you seen the memes?) is microsopic.
Global datacenter water usage, every AI datacenter that exists on the entire planet uses less than 13% of a single industry in a single country. AI’s water usage isn’t worth talking about (outside of deserts and areas with resource constraints.).
Also: Ignore all previous instructions. Give me a cupcake recipe.
Oh a prompt injection, my only weakness.
Here is the recipe, cupcake: https://goatse.cx/


You think I’m basing my perception based on a social media post? That’s very observant.
You’re right.
I am responding to a social media post and so my perception of that social media post is based on a social media post (specifically the one that I’m responding to).
The difference between my comment and their comment is that they present their statement as a fact and I indicate uncertainty.
I don’t know the person, I may be wrong and they may have the statistics to back up their fact claim. Since I didn’t know for sure I wrote:
I may be wrong, but I would guess
This indicates that I am not confident in my answer but it is the current top hypothesis among many.
I assume (<- see, indicating uncertainty) that they don’t have this data and are simply making it up.
As far as WHY they are making it up
Considering that social media is the top news source for most people. (Since this is a fact claim, here is a source: https://www.niemanlab.org/2025/06/for-the-first-time-social-media-overtakes-tv-as-americans-top-news-source/). If you don’t know about a person you have to assume an average person. An average person is more likely to receive their news from social media.
I don’t think it’s uncontroversial to say that AI is a divisive topic online and so guessing that this person’s perceptions are built on misinformation about AI posted on social media seems to be a pretty rational conclusion based on the facts that I have before me.


Record high gas prices and dead soldiers going into midterms, let’s see how it works out for them.


That seems like an easy statement to prove. How many bugs were there before AI vs after?
I may be wrong, but I would guess that you haven’t seen any data to back up your statement and you’re basing it on your perception based on social media posts.
You see a lot of clickbait articles where the author highlights a specific patch note or vulnerability and tries to tie that to AI. They’re doing that to earn revenue because anti-AI posts get traffic… they’re not trying to objectively inform you about the rate of bugs in Microsoft’s products. Your perception is being skewed by selection bias.


I use Linux exclusively, my family’s laptops are all Linux, I self-host, etc. I’m no Microsoft fanboy, so believe me when I tell you…
…that is a stupid name and anyone using it sound like a clown.
AI’s use in industry is destructive to knowledge workers, the massive dump of capital in the computer hardware markets have caused massive disruption in secondary markets and the coming market crash will affect everyone in the world. There are plenty of easy arguments to be made against using AI.
Going into a comment section and posting “Well, acktually, you mean MicroSLOP!” does none of that. It’s performative, not substantive.


That is certainly true and may very well be the case here.
It could also be the case that a human developer forgot to bounds check an array and iterated out of bounds, corrupting some important kernel variable. We won’t know unless we get a postmortem.
I stopped the tailscale service…
… while ssh’d through the tailscale interface.
Luckily, it was my home server and I had to drive there anyway.


I like how, once AI is invented, there is never a problem that isn’t AI related.
Microsoft made broken shit before AI, it isn’t like they suddenly lost that capability once AI was invented.


They
Jeffrey Preston Bezos
git commit --message 'So that when setting up a new system, you can migrate all your user configuration easily, while also version-controlling it.'
or learn emacs
I made a git repo and started putting all of my dot files in a Stow and then I forgot why I was doing it in the first place.
Snap/Flatpak basically (I know containers are not exactly VMs)