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SpaceNoodle ,

Investors are dumb. It’s a hot new tech that looks convincing (since LLMs are designed specifically to appear correct, not be correct), so anything with that buzzword gets a ton of money thrown at it. The same phenomenon has occurred with blockchain, big data, even the World Wide Web. After each bubble bursts, some residue remains that actually might have some value.

Kintarian OP ,

I can see that. That guy over there has the new shiny toy. I want a new shiny toy. Give me a new shiny toy.

pimeys ,

And LLM is mostly for investors, not for users. Investors see you “do AI” even if you just repackage GPT or llama, and your Series A is 20% bigger.

OpenStars ,
@OpenStars@discuss.online avatar

Money. If you paid to use those services, they got what they wanted.

homesweethomeMrL ,

Money.

That’s the entirety of the reason.

Boozilla ,
@Boozilla@lemmy.world avatar

“Line must go up.”

iconic_admin ,

Summed up an MBA in four words.

OpenStars ,
@OpenStars@discuss.online avatar

“Be greedy” => there, did it in two:-P

It is so sad that it works too - no room for nuance, responsibility, even long-term stability (even for the entire human species, + all other mammals on Earth & many others too that we seem ready to take down with us on our way to extinction).

gedaliyah ,
@gedaliyah@lemmy.world avatar

Generative AI has allowed us to do some things that we could not do before. A lot of people very foolishly took that to mean it would let us do everything we couldn’t do before.

Kintarian OP ,

That’s because the PR department keeps telling us that it’s the best things since sliced bread.

givesomefucks ,

A dumb person thinks AI is really smart, because they just listen to anyone that answers confidentially

And no matter what, AI is going to give its answer like it’s is 100% definitely the truth.

That’s why there’s such a large crossover with AI and crypto, the same people fall for everything.

There’s new supporting evidence for Penrose’s theory that natural intelligence involves just an absolute shit ton of quantum interactions, because we just found out how the body can create an environment where quantom super position can not only be achieved, but incredibly simply.

AI got a boost because we didn’t really (still dont) understand consciousness. Tech bro’s convinced investors that neurons were what mattered, and made predictions for when that amount of neurons can be simulated.

But if it include billions of molecules in quantum superposition, we’re not getting there in our lifetimes. But there’s a lot of money sunk in to it already, so there’s a lot of money to lose if people suddenly get realistic about what it takes to make a real artificial intelligence.

Kintarian OP ,

So they’re using the sunk cost logical fallacy? Gee that’s intelligent.

givesomefucks ,

The microtubules creating an environment that can sustain quantum super position just came out like a month ago.

In all honesty the tech bros probably don’t even know yet, or understands it means human level AI speculation has essentially been disproven as happening anytime remotely soon.

But I’m assuming when they do, they’ll just ignore it and double down to maintain share prices.

It’s also possible it all crashes and billions of dollars disappear.

Blue_Morpho ,

Microtubules have been pushed for decades without any proof. The latest paper wasn’t evidence but unsupported speculation.

But more importantly the physics of computation that creates intelligence has absolutely nothing to do with understanding intelligence. Even if quantum effects are relevant ( which is extremely unlikely given the warm and moving environment inside the brain), it doesn’t answer anything about how humans are intelligent.

Penrose used Quantum Mechanics as a “God in the Gaps” explanation. That worked 40 years ago but today we have working quantum computers but no human intelligence.

Kintarian OP ,

So the senator from Alaska was right? The internet is all a bunch of tubes?

OpenStars ,
@OpenStars@discuss.online avatar

That’s why there’s such a large crossover with AI and crypto, the same people fall for everything.

There’s a large overlap, but some people that did not fall for crypto may fall for AI.

Always never not be hustling, I suppose.

some_guy ,

Rich assholes have spent a ton of money on it and they need to manufacture reasons why that wasn’t a waste.

Kolanaki ,
@Kolanaki@yiffit.net avatar

The hype is also artificial and usually created by the creators of the AI. They want investors to give them boatloads of cash so they can cheaply grab a potential market they believe exists before they jack up prices and make shit worse once that investment money dries up. The problem is, nobody actually wants this AI garbage they’re pushing.

xia ,

The natural general hype is not new… I even see it in 1970’s scifi. It’s like once something pierced the long-thought-impossible turing test, decades of hype pressure suddenly and freely flowed.

There is also an unnatural hype (that with one breakthrough will come another) and that the next one might yield a technocratic singularity to the first-mover: money, market dominance, and control.

Which brings the tertiary effect (closer to your question)… companies are so quickly and blindly eating so many billions of dollars of first-mover costs that the corporate copium wants to believe there will be a return (or at least cost defrayal)… so you get a bunch of shitty AI products, and pressure towards them.

Kintarian OP ,

Sounds about right

Tyrangle ,

This is like saying that automobiles are overhyped because they can’t drive themselves. When I code up a new algorithm at work, I’m spending an hour or two whiteboarding my ideas, then the rest of the day coding it up. AI can’t design the algorithm for me, but if I can describe it in English, it can do the tedious work of writing the code. If you’re just using AI as a Google replacement, you’re missing the bigger picture.

Kintarian OP ,

I’m retired. I don’t do all that stuff.

Tyrangle ,

A lot of people are doing work that can be automated in part by AI, and there’s a good chance that they’ll lose their jobs in the next few years if they can’t figure out how to incorporate it into their workflow. Some people are indeed out of the workforce or in industries that are safe from AI, but that doesn’t invalidate the hype for the rest of us.

FourPacketsOfPeanuts ,

Maybe look into the creativity side more and less ‘Google replacement’?

Kintarian OP ,

The hype machine said we could use it in place of search engines for intelligent search. Pure BS.

FourPacketsOfPeanuts ,

Yes. Far more useful to embrace its hallucinogenic qualities…

Kintarian OP ,

I’ll see if I can think of something creative to do. I was just reading an article from MIT that pointed out that one reason AI is bad at search is that it can’t determine whether a source is accurate. It can’t tell the difference between Reddit and Harvard.

kitnaht ,

Holy BALLS are you getting a lot of garbage answers here.

Have you seen all the other things that generative AI can do? From bone-rigging 3D models, to animations recreated from a simple video, recreations of voices, art created from people without the talent for it. Many times these generative AIs are very quick at creating boilerplate that only needs some basic tweaks to make it correct. This speeds up production work 100 fold in a lot of cases.

Plenty of simple answers are correct, breaking entrenched monopolies like Google from search, I’ve even had these GPTs take input text and summarize it quickly - at different granularity for quick skimming. There’s a lot of things that can be worthwhile out of these AIs. They can speed up workflows significantly.

Kintarian OP ,

I’m a simple man. I just want to look up a quick bit of information. I ask the AI where I can find a setting in an app. It gives me the wrong information and the wrong links. That’s great that you can do all that, but for the average person, it’s kind of useless. At least it’s useless to me.

kitnaht ,

So you got the wrong information about an app once. When a GPT is scoring higher than 97% of human test takers on the SAT and other standardized testing - what does that tell you about average human intelligence?

The thing about GPTs is that they are just word predictors. Lots of time when asked super specific questions about small subjects that people aren’t talking about - yeah - they’ll hallucinate. But they’re really good at condensing, categorizing, and regurgitating a wide range of topics quickly; which is amazing for most people.

Kintarian OP ,

It’s not once. It has become such an annoyance that I quit using and asked what the big deal is. I’m sure for creative and computer nerd stuff it’s great, but for regular people sitting at home listening to how awesome AI is and being underwhelmed it’s not great. They keep shoving it down our throats and plain old people are bailing.

ContrarianTrail ,

If artificial intelligence doesn’t work why are they trying to make us all use it?

But it does work. It’s not obviously flawless but it’s orders of magnitude better than it was 10 years ago and it’ll only improve from here. Artificial intelligence is a spectrum. It’s not like we succesfully created it and it ended up sucking. No, it’s like the first cars; they suck compared to what we have now but it’s a huge leap from what we had before.

I think the main issue here is that the common folk has unrealistic expectations about what AI should be. They’re imagining what the “final product” would be like and then comparing our current systems to that. Ofcourse from that perspective it seems like it’s not working or is no good.

Kintarian OP ,

We’ll have to wait and see. I’m still not eating rocks or putting glue on my pizza.

SomeAmateur , (edited )

I genuinely think the best practical use of AI, especially language models is malicious manipulation. Propaganda/advertising bots. There’s a joke that reddit is mostly bots. I know there’s some countermeasures to sniff them out but think about it.

I’ll keep reddit as the example because I know it best. Comments are simple puns, one liner jokes, or flawed/edgy opinions. But people also go to reddit for advice/recommendations that you can’t really get elsewhere.

Using an LLM AI I could in theory make tons of convincing recommendations. I get payed by a corporation or state entity to convince lurkers to choose brand A over brand B, to support or disown a political stance or to make it seem like tons of people support it when really few do.

And if it’s factually incorrect so what? It was just some kind stranger™ on the internet

SirDerpy ,

If by “best practical” you meant “best unmitigated capitalist profit optimization” or “most common”, then sure, “malicious manipulation” is the answer. That’s what literally everything else is designed for.

empireOfLove2 ,
@empireOfLove2@lemmy.dbzer0.com avatar

They were pretty cool when they first blew up. Getting them to generate semi useful information wasn’t hard and anything hard factual they would usually avoid answering or defer.

They’ve legitimately gotten worse over time. As user volume has gone up necessitating faster, shallower model responses, and further training on Internet content has resulted in model degradation as it trains on its own output, the models gradually begin to break. They’ve also been pushed harder than they were meant to, to show “improvement” to investors demanding more accurate human like fact responses.

At this point it’s a race to the bottom on a poorly understood technology. Every money sucking corporation latched on to LLM’s like a piglet finding a teat, thinking it was going to be their golden goose to finally eliminate those stupid whiny expensive workers that always ask for annoying unprofitable things like “paid time off” and “healthcare”. In reality they’ve been sold a bill of goods by Sam Altman and the rest of the tech bros currently raking in a few extra hundred billion dollars.

Kintarian OP ,

Now it’s degrading even faster as AI scrapes from AI in a technological circle jerk.

bionicjoey ,

A lot of jobs are bullshit. Generative AI is good at generating bullshit. This led to a perception that AI could be used in place of humans. But unfortunately, curating that bullshit enough to produce any value for a company still requires a person, so the AI doesn’t add much value. The bullshit AI generates needs some kind of oversight.

lemmylommy ,

You have asked why there is so much hype around artifical intelligence.

There are a few reasons this might be the case:

  1. Because humans are curious. Experimenting with how humans believe memory and intelligence work might just lead them to find out something about their own intelligence.
  2. Because humans are stupid. Most do not have the slightest idea what „AI“ is this time, yet they are willing to believe in the most outlandish claims about it. Look up ELIZA. It fooled a lot of people, just like LLMs today.
  3. Because humans are greedy. And the prospect of replacing a lot of wage-earners, and not just manual laborers this time, with a machine is just too good to pass up for management. The potential savings are huge, if it works, so the willingness to spend money is also considerable.

In conclusion, there are many reasons for the hype around artificial intelligence and most of them relate to human deficiencies and human nature in general.

If you have further questions I am happy to help. Enjoy your experience with AI. While you still can. 🤖

Kintarian OP ,

I believe in questioning everything.

Tylerdurdon ,
  • automation by companies so they can "streamline"their workforces.
  • innovation by “teaching” it enough to solve bigger problems (cancer, climate, etc).
  • creating a sentient species that is the next evolution of life and watching it systematically eradicate every last human to save the planet.
Kintarian OP ,

Terminator was also a documentary

Tylerdurdon ,

Skynet for the win!

Kintarian OP ,

Come with me if you want to live!

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