It was coming right at me!

Personally I would ask my aunt and she would be wrong.

I didn’t provide you with an answer to your question?

Yeah I personally use it to analyze public data bases for fraud.

Yeah. I guess we’ll see.

EDIT: you should go on claude’s reddit and look at all of the tools people have built to keep companies and politicians accountable, to renegotiate billing, to improve their lives at the expense of capital. Or you can just go on thinking you’re right!

Since that was a lazy question I decided to be lazy and just copy paste it into Gemini. Enjoy! I have no idea what the point of this is!

Artificial Intelligence isn’t a single technology; it has been a massive umbrella term since the 1950s. Broadly, it means creating computer systems capable of performing tasks that typically require human intelligence.

If LLMs are just one tiny branch on the tree, here is what the rest of the tree looks like:

Machine Learning (ML): This is the engine driving most modern AI. Instead of a human programmer writing strict "if/then" rules, we feed the computer massive amounts of data and let it figure out the rules itself. This is what powers your Netflix recommendations, credit card fraud detection, and the algorithm deciding what you see on social media.

Computer Vision: Teaching computers to "see" and interpret the visual world. This is how self-driving cars identify stop signs versus pedestrians, how your phone unlocks when it sees your face, and how medical software spots anomalies in X-rays faster than human doctors.

Robotics: The physical application of AI. This isn't just mechanical engineering; it is the software that allows a machine to navigate the unpredictable, physical world. This covers everything from the Roomba vacuuming your floor to automated factory arms and those creepy, dog-like robots from Boston Dynamics.

Natural Language Processing (NLP): This is the branch focused on understanding and generating human language. LLMs live here, but so do older, simpler technologies like spellcheck, Google Translate, and the early versions of Siri or Alexa.

Expert Systems & Rule-Based AI: This is the older, "classic" AI. It relies on a massive database of human knowledge programmed as logical rules. When the IBM computer Deep Blue beat the world chess champion in 1997, it wasn't using an LLM; it was using raw computational power to calculate millions of possible moves and their outcomes based on strict rules.

Predictive Analytics & Optimization: The invisible math running the modern world. This is AI used by logistics companies to find the absolute most efficient routes for delivery trucks, or by hedge funds to execute high-frequency stock trades based on market micro-fluctuations.

The echo chamber on this site about AI is really quite something. Someone confidently told me Mythos probably didn’t exist and they were upvoted for it and I was downvoted for pointing out the existence of Project Glasswing.

Like, Mythos isn’t real? Fable has been out for like two months lmao

And people who believe the core mechanism in large language models to be AI

What does that mean? Transformers aren’t AI? What? I don’t think you understand this as much as you think you do.

And how much of the doomerism is a campaign to keep the common man from using a revolutionary tool for, well, revolution, by alienating those most likely to do revolutionary things with it?

Once you look at the actual numbers for pollution, water usage, etc it becomes very clear that the issues are vastly overstated. So, why?

How do people work? Are there ones born knowing how to use a hacksaw?

In other words, corporate leadership is starting from the premise that AI has (or will) radically change the business, and they’re working backwards from that premise to find the evidence to support this article of faith.

This quote is quite funny in this context, because it’s literally what people do with AI. Half of the frontpage of lemmy is AI. The other half is people saying AI is bad with no realization of the irony, because they don’t see good AI. It’s like CGI. Everybody hates CGI, except they don’t. CGI is everywhere. They just hate bad CGI.

More or less the point is: Have you considered that this is a psy op to keep you from using a revolutionary technology, keeping it in the hands of the elite?

What, you think every single company on Earth is dumb? You think that every programmer adopting it is dumb? You guys have no clue. You live in a little bubble where you studiously refuse to use this thing that you judge from three years ago. It would be sad, but it’s honestly just disturbing. We have a moment to use the most frontier models available. And we are going to lose that moment. And y’all, instead of using this technology to fight power, just bitch about it, as though that will do anything. As if your NIMBY nonsense will stop datacenters. As though you aren’t on Lemmy, USING DATACENTERS.

I don’t think there’s any progress on that front. Probably due to the lack of think pieces on it.

Do you think AI is mostly generating slop? Only like 5% of AI use is private individuals.

The point is that this is not actually an ecological hazard the way people say it is, and that there are much, much more pressing issues if we’re going to fix the environment. Literally all we would have to do to solve global warming is stop eating meat. You see anywhere near as much about that as you do datacenters? Which cause less than one percent of the environmental issues of meat?

I find that a frontier bot pointed at the internet does a lot better job of answering the question than I do when searching on my own. I mean they’re always going to be wrong about some stuff, but aren’t people? I think that’s generally a better metric. And at this point they’re far away from what they were just a few years ago. But you’re correct in that there is an element of brute forcing them or at least shaping them that has to occur that I can’t blame anyone for tapping out of.

They tend to work much better when you point them at things. Hallucination rates go way, way down when they aren’t pulling from their “memory.” They are, also, like you say, wrong in ways that are noticeable and often “interesting” in the Ibsen way. I also doubt that you could get the same experience for less money. I’d have to go back to college to get the education I’m getting with AI. At least community college. It’s a lot of near-experts at once. And when you point it at expert literature it basically is a senile college professor. But yeah the senile part of that statement is pretty important.

Golf courses use 30x the water that data centers use. Lawns, 100x. Standby mode for appliances costs more energy, by a lot. I wonder how much carbon emissions are offset by people no longer driving to work at call centers and the like.

Out of curiosity do you eat meat? .2% of water is used on data centers. 9.8% is used on beef. For carbon emissions one pound of beef consumed is equivalent to about 640,000 prompts.

AI is an environmental concern but the way people act about it is straight up ridiculous.

Edit: I am very proud of all of the vegans who unplug their appliances who are downvoting me. I, too, am a vegan who unplugs their appliances.

I don’t usually comment on stuff like this but I feel like people should know that “standby” mode on appliances takes up about 40% more power than every data center on earth, of which only about 33% of which goes to AI. There are DEFINITELY environmental concerns surrounding data centers but it’s more about shoddily, quickly built ones rather than them existing at all.

Man they put out an anti-terrorism thing where they straight up said, “We will find you, and we will kill you.” About Americans with a marginalized political identity (Anarchism, in this case), and it straight up wasn’t in NYT AT ALL.

How do we artificially lower the number of doctors there are so that their wages can be inflated and THIS still happens? WHAT THE FUCK