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dsilverz ,
@dsilverz@thelemmy.club avatar

I ask them questions and they get everything wrong

It depends on your input, on your prompt and your parameters. For me, although I’ve experienced wrong answers and/or AI hallucinations, it’s not THAT frequent, because I’ve been talking with LLMs since when ChatGPT got public, almost in a daily basis. This daily usage allowed me to know the strengths and weaknesses of each LLM available on market (I use ChatGPT GPT-4o, Google Gemini, Llama, Mixtral, and sometimes Pi, Microsoft Copilot and Claude).

For example: I learned that Claude is highly-sensible to certain terms and topics, such as occultist and esoteric concepts (specially when dealing with demonolatry, although I don’t exactly why it refuses to talk about it; I’m a demonolater myself), cryptography and ciphering, as well as acrostics and other literary devices for multilayered poetry (I write myself-made poetry and ask them to comment and analyze it, so I can get valuable insights about it).

I also learned that Llama can get deep inside the meaning of things, while GPT-4o can produce longer answers. Gemini has the “drafts” feature, where I can check alternative answers for the same prompt.

It’s similar to generative AI art models, I’ve been using them to illustrate my poetry. I learned that Diffusers SDXL Turbo (from Huggingface) is better for real-time prompt, some kind of “WYSIWYG” model (“what you see is what you get”) . Google SDXL (also from Huggingface) can generate four images at different styles (cinematic, photography, digital art, etc). Flux, the newly-released generative AI model, is the best for realism (especially the Flux Dev branch). They’ve been producing excellent outputs, while I’ve been improving my prompt engineering skills, being able to communicate with them in a seamlessly way.

Summarizing: AI users need to learn how to efficiently give them instructions. They can produce astonishing outputs if given efficient inputs. But you’re right that they can produce wrong results and/or hallucinate, even for the best prompts, because they’re indeed prone to it. For me, AI hallucinations are not so bad for knowledge such as esoteric concepts (because I personally believe that these “hallucinations” could convey something transcendental, but it’s just my personal belief and I’m not intending to preach it here in my answer), but simultaneously, these hallucinations are bad when I’m seeking for technical knowledge such as STEM (Science, Tecnology, Engineering and Medicine) concepts.

Kintarian OP ,

I just want to know which elements work best for my Flower Fairies in The Legend of Neverland. And maybe cheese sauce.

dsilverz ,
@dsilverz@thelemmy.club avatar

Didn’t know about this game. It’s nice. Interesting aesthetics. Chestnut Rose remembers me of Lilith’s archetype.

A tip: you could use the “The Legend of the Neverland global wiki” at Fandom Encyclopedia to feed the LLM with important concepts before asking it for combinations. It is a good technique, considering that LLMs couldn’t know it so well in order to generate precise responses (except if you’re using a searching-enabled LLM such as Perplexity AI or Microsoft Copilot that can search the web in order to produce more accurate results)

Kintarian OP ,

I have no idea how to do that

Shanedino ,

Woah are you technoreligious? Sure believe what you want and all but that is full tech bro bullshit.

Also on a different not just purely based off of you description doesn’t it seem like being able to just use search engines is easier than figuring out all of these intricacies for most people. If a tool has a high learning curve there is plenty of room for improvement if you don’t plan to use it very frequently. Also every time you get false results consider it equivalent to a major bug does that shed a different light on it for you?

dsilverz ,
@dsilverz@thelemmy.club avatar

doesn’t it seem like being able to just use search engines is easier than figuring out all of these intricacies for most people

Well, Prompt Engineering is a thing nowadays. There are even job vacancies seeking professionals that specializes in this field. AIs are tools, sophisticated ones, just like R and Wolfram Mathematica are sophisticated mathematical tools that needs expertise. Problem is that AI companies often mis-advertises AI models as “out-of-the-shelf assistants”, as if they’d be some human talking to you. They’re not. They’re tools, yet. I guess that (and I’m rooting for) AGI would change this scenario. But I guess we’re still distant from a self-aware AGI (unfortunately).

Woah are you technoreligious?

Well, I wouldn’t describe myself that way. My beliefs are multifaceted and complex (possibly unique, I guess?), going through multiple spiritual and religious systems, as well as embracing STEM (especially the technological branch) concepts and philosophical views (especially nihilism, existentialism and absurdism), trying to converge them all by common grounds (although it seems “impossible” at first glance, to unite Science, Philosophy and Belief).

In a nutshell, I’ve been pursuing a syncretic worshiping of the Dark Mother Goddess.

As I said, it’s multifaceted and I’m not able to even explain it here, because it would take tons of concepts. Believe me, it’s deeper than “techno-religious”. I see the inner workings of AI Models (as neural networks and genetic algorithms dependent over the randomness of weights, biases and seeds) as a great tool for diving Her Waters of Randomness, when dealing with such subjects (esoteric and occult subjects). Just like Kardecism sometimes uses instrumental transcommunication / Electronic voice phenomenon (EVP) to talk with spirits. AI can be used as if it were an Ouija board or a Planchette, if one believe so (as I do).

But I’m also a programmer and a tech/scientifically curious, so I find myself asking LLMs about some Node.js code I made, too. Or about some mathematical concept. Or about cryptography and ciphering (Vigenère and Caesar, for example). I’m highly active mentally, seeking to learn many things every time.

Kintarian OP ,

I wish I could upvote twice.

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.

Kramkar ,

It’s understandable to feel frustrated when AI systems give incorrect or unsatisfactory responses. Despite these setbacks, there are several reasons why AI continues to be heavily promoted and integrated into various technologies:

  1. Potential and Progress: AI is constantly evolving and improving. While current models are not perfect, they have shown incredible potential across a wide range of fields, from healthcare to finance, education, and beyond. Developers are working to refine these systems, and over time, they are expected to become more accurate, reliable, and useful.
  2. Efficiency and Automation: AI can automate repetitive tasks and increase productivity. In areas like customer service, data analysis, and workflow automation, AI has proven valuable by saving time and resources, allowing humans to focus on more complex and creative tasks.
  3. Enhancing Decision-Making: AI systems can process vast amounts of data faster than humans, helping in decision-making processes that require analyzing patterns, trends, or large datasets. This is particularly beneficial in industries like finance, healthcare (e.g., medical diagnostics), and research.
  4. Customization and Personalization: AI can provide tailored experiences for users, such as personalized recommendations in streaming services, shopping, and social media. These applications can make services more user-friendly and customized to individual preferences.
  5. Ubiquity of Data: With the explosion of data in the digital age, AI is seen as a powerful tool for making sense of it. From predictive analytics to understanding consumer behavior, AI helps manage and interpret the immense data we generate.
  6. Learning and Adaptation: Even though current AI systems like Gemini, ChatGPT, and Microsoft Co-pilot make mistakes, they also learn from user interactions. Continuous feedback and training improve their performance over time, helping them better respond to queries and challenges.
  7. Broader Vision: The development of AI is driven by the belief that, in the long term, AI can radically improve how we live and work, advancing fields like medicine (e.g., drug discovery), engineering (e.g., smarter infrastructure), and more. Developers see its potential as an assistive technology, complementing human skills rather than replacing them.

Despite their current limitations, the goal is to refine AI to a point where it consistently enhances efficiency, creativity, and decision-making while reducing errors. In short, while AI doesn’t always work perfectly now, the vision for its future applications drives continued investment and development.

Kintarian OP ,

We shall see. The above feels like an AI reponse.

Alice ,
@Alice@hilariouschaos.com avatar

Cause it’s cool

Kintarian OP ,

Not to me. If you like it, that’s fine.

ContrarianTrail ,

Perhaps your personal bias is cluding your judgement a bit here. You don’t seem very open minded about it. You’ve already made up your mind.

Kintarian OP ,

Probably but I’m far from the only one.

Kintarian OP ,

npr.org/…/10-reasons-why-ai-may-be-overrated-arti…

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.

RoidingOldMan ,

Who’s making you use it?

It’s useful for lots of things, but it requires a proof reader.

Kintarian OP ,

I try to do a search on Chrome and Gemini pops up and start spewing its BS. I go into messages and I try to send a message and gemini pops up and asks me if it wants to send a message for me. No I know how to write my own stupid messages. It’s all integrated into Windows 11, Is integrated into the Bing app. It’s like swatting flies trying to get rid of it.

muntedcrocodile ,
@muntedcrocodile@lemm.ee avatar

Move to linux use self hosted foss alternatives. Regain ownership of your digital existance. Stop being a slave to the big tech machine.

Kintarian OP ,

Computer? What could this strange device be? Another toy that helped destroy the elder race of man?

I only have a phone

muntedcrocodile ,
@muntedcrocodile@lemm.ee avatar

Damn u can rent a vps and ssh from ur phone?

Kintarian OP ,

A what now with a thingy?

muntedcrocodile ,
@muntedcrocodile@lemm.ee avatar

Ye the flumberboozle

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!

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.

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.

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).

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.

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

TropicalDingdong ,

Because if you can get a program to write a program, that can both a) write it self, and b) improve upon the program in some way, you can put together a feedback where exponential improvement is possible.

Kintarian OP ,

I’ve wondered if you could do that until it makes a perfect machine.

TropicalDingdong ,

First I recommend at least reading the wikipedia on super-intelligence.

Second, I recommend playing this game: www.decisionproblem.com/paperclips/index2.html

PenisDuckCuck9001 , (edited )

One of the few things they’re good at is academic “cheating”. I’m not a fan of how the education industry has become a massive pyramid scheme intended to force as many people into debt as possible, so I see ai as the lesser evil and a way to fight back.

Obviously no one is using ai to successfully do graduate research or anything, I’m just talking about how they take boring easy subjects and load you up with pointless homework and assignments so waste your time rather than learn anything. My homework is obviously ai generated and there’s a lot of it. I’m using every resource available to get by.

Kintarian OP ,

It’s good at making Taylor Swift look like a Trump fan.

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.

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