

The employees that work for these places should unionize.
“We brought in the union busters, but they went on strike.” Would be just 👌
Father, Hacker (Information Security Professional), Open Source Software Developer, Inventor, and 3D printing enthusiast


The employees that work for these places should unionize.
“We brought in the union busters, but they went on strike.” Would be just 👌


This is why open source AI is necessary!


There is a story people tell about AI regulation, and it goes like this: the technology is moving too fast, governments can’t keep up, regulators are overwhelmed, and by the time anyone writes a law the thing they’re trying to regulate has already evolved into something else entirely.
No. That’s not the story people are telling about AI regulation. It goes like this:
If we regulate AI, that will give an advantage to AI companies in other countries. They will surpass our AI capabilities and leave us in the technological dust.
There’s a related story:
If we regulate AI, we’re likely to create more problems because Boomers don’t understand technology.


Everyone wants to access Netflix, YouTube, Prime Video, etc through their TV interface and I just don’t get it. The best experience is when you hook up a PC to your TV… not some TV-centric Android OS or Roku’s thing.
Install Kubuntu on some old PC with a GPU that can handle 4K @60Hz and you’re good to go. KDE and Firefox let you crank up the zoom so everything’s easy to read and it even has HDR support (though I prefer going without it… Old person eyes).
It’s such a vastly superior experience. Not only do you get the usual stuff, you can use a real keyboard to type into that search bar. You can also access all those pirate streaming sites and do normal PC stuff like play games.


Inappropriate for sure, but impactful?
I mean, was he cheating on his wife or something? Is he known for episodes like this that weren’t caught on camera?
If it’s just a one-time thing… It’s funny but really, who cares? I mean, this is really on-brand for a Republican to pull shit like this but there’s definitely situations where I’d rather leave a public building wearing nothing but underwear rather than keep those pants on.
Example: If the toilet overflowed with sewer shit while I had them down. I’d leave the pants, socks, and shoes behind!
Especially if I was drunk off my ass!
(I don’t actually drink… Just sayin 😁)
“IP theft” is a rhetorical term invented by the MPAA/RIAA in the 90s. It’s not a real crime. It’s just propaganda.
There’s no law on the books that even remotely resembles “IP theft”. Here’s what we’ve got:
Not a single one of these laws deals with “theft”. The entire concept of theft is orthogonal to intellectual property.
Until the MPAA/RIAA started their marketing campaigns in the 90s, “IP theft” as a concept didn’t exist. It wasn’t a thing. It still isn’t a thing. It’s propaganda/marketing BS.
Are you forgetting the IP theft
I’m going to come out and say it: IP theft isn’t a thing. IP is not something that can be stolen. It can have its license violated or it can be copied against the wishes of its owner. What it absolutely cannot be is “stolen”.
A car can be stolen. A phone can be stolen. A book or a CD or a DVD can be stolen. The concepts or ideas or literal content of what amounts to Intellectual Property cannot be stolen. It can only be copied.
If anything has been stolen it’s the commons that is the public domain. It was taken away for about four generations. Long enough that no one remembers the IP that’s only just now becoming public domain. It’s a loss far greater than anything related to AI.
I’ll also say this: Even if an AI were trained on nothing but public domain works (like most image generating AI a la ImageNET) people would still be spouting bullshit like, “it’s stealing IP!”


Zuck is having all his keystrokes recorded too, right? Right?
Make sure the AI engineers get that data. Especially the passwords to his and the company’s bank accounts. All his accounts, actually.
There’s a reason why most businesses don’t implement keystroke logging.
Just want to point out that nearly all new data centers use closed loop water cooling. That only makes sense in very, very dry places in the world that also have extremely cheap water.
For example, cooling towers would make no sense in Florida because the ambient humidity is too high. Even though water is plentiful.
Oh my. This is a huge can of worms—especially on Lemmy. There’s a lot of anti-AI hate on this platform. Almost to the point of it being a religion.
For reference, when people say, “AI” they’re usually talking about Large Language Models (LLMs) and other forms of generative AI (e.g. diffusion models that make images). Having said that, “AI” is an enormous topic of which LLMs are a small, but increasingly popular part.
Furthermore, when people here on Lemmy say, “AI” they’re normally talking about “Big AI” which consists of:
Is AI inherently bad or evil? No. It’s just the latest way of giving instructions to a computer. Considering that all computer programs are literally just instructions, an AI model is just a really fancy and often expensive way of performing the same function. Albeit with a lot more breadth and flexibility. Note that I didn’t say “depth”, haha.
The “bad” or “evil” part of AI is mostly due to the large players (aka “Big AI”) spending literally over $1 trillion so far on data centers and hardware. There’s so much demand for their services that they’re having to build their own—often dirty, fossil fuel—power plants just to power it all.
A lot of the talk around data centers is based on myths. For example, generating an image with AI doesn’t use a liter of water. A study came out that no one actually read (beyond the summary) that stated that a really long conversation with an LLM could in theory use up half a liter of water, assuming the data center was powered by a fossil fuel power plant that was using water for cooling (as in, the heat dissipation required 0.5 liters of water from the cooling pond next to the power plant, not potable/drinking water).
LLMs do use up a lot of power though! People often assume this is from training the AIs (which I’ll get to in a moment) because everyone “knows” it’s a long, involved process that can take months (even with a $50 billion data center specifically made for AI). However, it’s actually all the people and businesses using AI that uses up all that energy. The biggest, most power-hungry step is “inference” which is the point where the LLM tries to figure out what you just asked of it.
The important point here is that AI is actually being used.* There’s real demand for it! It’s not just fools asking ChatGPT for strange pizza recipes. It’s mostly businesses using it for things like writing and checking code or investigating server logs for malicious activity or any number of very businessy IT things.
The demand for AI services is so great that they can’t build data centers fast enough. Big AI, specifically is having trouble keeping responses within satisfactory time windows. The business models are still developing but they’re actually not charging enough to make up for their spending in a lot of cases. Specifically, OpenAI and Microsoft are losing money like crazy, trying to compete.
I ran out of time… I’ll reply again about the copyright situation, training costs, and open weight (aka open source) models in a bit…


The reason why you hear this so often is because academia is designed to teach students based on a logical, reasonable curriculum. The curriculum will be mostly well-thought-out and cover all the important topics.
Then you take someone who followed this perfectly reasonable path and you place them in front of the total shitshow that is most businesses. Everything they think they know won’t be applicable because most of the time, logic and reason were not what drove adoption of any given tool or practice.


I’m the protagonist of a show that got cancelled once I could dress myself.


Don’t be so hard on yourself! I’m sure you’re just one catastrophic heart failure away from greatness 👍


I’ve been researching this a bit… I’ve come to the conclusion that there is no AI bubble. In fact, we’re only just getting started down this road. Unless there’s some massive 100x efficiency breakthrough in training AI and inference, the entire world is going to be building seemingly endless AI data centers (and the normal compute kind, e.g. for stuff like AWS, Google/YouTube, Meta, banks) for at least a decade. Probably a little longer (12-15 years before demand levels out).
Everyone thinks that “AI data center” means ChatGPT, Claude, Gemini, etc but there’s 10,000x more demand for AI than those services. Think: Pharmaceutical companies trying to find proteins, scientists (and big agriculture!) trying to model the weather, and other businesses trying to automate stuff. Not just software; robots and things like conveyor belts.
Another example: Ever use one of those self-checkouts that’s mostly just a camera pointing down, where you place the stuff you’re purchasing? That uses AI too.
Having said that, there is a great big bubble in AI: OpenAI, specifically. That will definitely pop one day. And hopefully, the DRAM bullshit will go along with it.


“AI warfare” or, “AI is stealing all the jobs of our army of international scammers, that we allow to operate freely as long as they don’t target Russians!”


Ever see someone using Google and cringe? People who have experience getting AI to do what they want feel the same when they see normies writing their prompts.
It ain’t much, but it’s dishonest work.


Remember, kids: If we taught you how to protect your privacy and recover from things like this, you’d also learn how to get around the censorship we impose upon you so stay in the dark and suffer.


The real question: Why didn’t she just make a new Discord account? It’s free and stupidly easy.
It’s not that hard to contact your old friends and tell them your account was hacked. In fact, that happens all the time.
The suspects were audibly upset that their underground cartel has finally come to light.