- cross-posted to:
- hackernews@lemmy.smeargle.fans
- cross-posted to:
- hackernews@lemmy.smeargle.fans
Google rolled out AI overviews across the United States this month, exposing its flagship product to the hallucinations of large language models.
Google rolled out AI overviews across the United States this month, exposing its flagship product to the hallucinations of large language models.
No, hallucination is a really good term. It can be super confident and seemingly correct but still completely made up.
That is just being WRONG.
It’s a really bad term because it’s usually associated with a mind, and LLMs are nothing of the sort.
So is bullshitting. More so, only human minds can bullshit.
We anthropomorphize machines all the time, it’s fine.
I’d prefer we’d start calling all genai output hallucinations again. It used to be like 10 years ago, but somewhere along the line marketing decided hallucinated truths aren’t “hallucinations”.
And a bull’s anus.
It’s fucking not, amd I’m not changing my mind about it.
Anthropomorphication is hard to avoid in AI.
Many worthy things are difficult.
But is anthropomorphism of AI particularly worrying?
It is when the people tends to give more credence to entities that appear sentient and to have agency.
You just described entirety of reddit and last I checked we didn’t call that hallucinating
for it to “hallucinate” things, it would have to believe in what it’s saying. ai is unable to think - so it cannot hallucinate
Hallucination is a technical term. Nothing to do with thinking. The scientific community could have chosen another term to describe the issue but hallucination explains really well what’s happening.
huh, i kinda assumed it was a term made up/taken by journalists mostly, are there actual research papers on this using that term?
Yup. Loads of them! https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=hallucinations+llm&btnG=
It used to mean all generated output though. Calling only mistakes hallucinations is new, definitely because of hype.
So how do you prove it can’t think? Or that you actually can?
because it’s a text generation machine…? i mean, i wouldn’t say i can prove it, but i don’t think anyone can prove it’s capable of thinking, much less of reasoning
like, it can string together a coherent sentence thanks to well crafted equations, sure, but i wouldn’t qualify that as “thinking”, though i guess the definition of “thinking” is debatable
It can tell you how to stack things on top of each other the best way to get a high tower. Etc.
Those are not random sentences. If you can not define thinking in a way this machine fails at, then stop saying it does not think.
A parrot can be trained to tell you how to stack things on top of each other the best way to get a high tower.
This is just an electronic parrot, millions of times faster to train than the biological parrot, specialized in repetition alone (can’t really do anything else a parrot can) and which has been trained on billions of texts.
You’re confusing one specific form in which humans externally express cogniscence with the actual cogniscence itself: just because intelligence can produce some forms of textual communication doesn’t mean that the relationship holds in the opposite direction and such forms of textual communication require intelligence, or if you will, just because you can photograph a real pizza to get a picture of a pizza doesn’t mean a picture of a pizza is actually of a real pizza and not something with glue to make it look like it has stringy melted cheese.
Again, it is absolutely capable to come up with it’s own logical stuff, hence my example. Stop saying it just copies existing stuff, that is simply wrong.
interesting, in my experience, it’s only been good at repeating things, and failing on unexpected inputs - it’s able to answer pretty accurately if a small number is even or odd, but not if it’s a large number, which indicates it’s not reasoning but parroting answers to me
do you have example prompts where it showed clear logical reasoning?
Examples showing that it comes up with it’s own solutions to an answer? Just ask it something that could not have been on the Internet before. Professor talking about AGI in GPT 4
Personal examples would be to code python to solve a 2D thermal heat flux problem given some context and constraints.
Sure, whatever.
Amazing reply, given the context.
It’s an interesting question. I am inclined to believe that the faster it gets at running those equations, over and over and over, reanalysing is data and responses as it goes, that that ultimately leads to some kind of evolution. You know, Vger style.
I think delusion might be a better word. You can hallucinate and know it’s not real
My experience with certain chemicals suggests this is true.
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