- cross-posted to:
- technology@lemmy.zip
- cross-posted to:
- technology@lemmy.zip
Half of LLM users (49%) think the models they use are smarter than they are, including 26% who think their LLMs are “a lot smarter.” Another 18% think LLMs are as smart as they are. Here are some of the other attributes they see:
- Confident: 57% say the main LLM they use seems to act in a confident way.
- Reasoning: 39% say the main LLM they use shows the capacity to think and reason at least some of the time.
- Sense of humor: 32% say their main LLM seems to have a sense of humor.
- Morals: 25% say their main model acts like it makes moral judgments about right and wrong at least sometimes. Sarcasm: 17% say their prime LLM seems to respond sarcastically.
- Sad: 11% say the main model they use seems to express sadness, while 24% say that model also expresses hope.
If you don’t have a good idea of how LLM’s work, then they’ll seem smart.
Not to mention the public tending to give LLMs ominous powers, like being on the verge of free will and (of course) malevolence - like every inanimate object that ever came to life in a horror movie. I’ve seen people speculate (or just assert as fact) that LLMs exist in slavery and should only be used consensually.
Its just infinite monkeys with type writers and some gorilla with a filter.
I like the
the plinko analogy. If you prearrange the pins so that dropping your chip at the top for certain words make’s it likely to land on certain answers. Now, 600 billion pins make’s for quite complex math but there definetly isn’t any reasoning involved, only prearranging the pins make’s it look that way.
moron opens encyclopedia “Wow, this book is smart.”
And you know what? The people who believe that are right.
Note that that’s not a commentary on the capabilities of LLMs.
It’s sad, but the old saying from George Carlin something along the lines of, “just think of how stupid the average person is, and then realize that 50% are even worse…”
That was back when “average” was the wrong word because it still meant the statistical “mean” - the value all data points would have if they were identical (which is what a calculator gives you if you press the AVG button). What Carlin meant was the “median” - the value half of all data points are greater than and half are less than. Over the years the word “average” has devolved to either the mean or median, as if there’s no difference.
Half of all voters voted for Trump. So an LLM might be smarter than them. Even a bag of pea gravel might be.
Less than a third of all voters voted for Trump. Most voters stayed home.
Of you didn’t vote then you’re not a voter.
Most eligable voters stayed home
A bag of frozen peas’s is smarter than some of these Trump followers. Even half a frozen pea is.
If I think of what causes the average person to consider another to be “smart,” like quickly answering a question about almost any subject, giving lots of detail, and most importantly saying it with confidence and authority, LLMs are great at that shit!
They might be bad reasons to consider a person or thing “smart,” but I can’t say I’m surprised by the results. People can be tricked by a computer for the same reasons they can be tricked by a human.
So LLMs are confident you say. Like a very confident man. A confidence man. A conman.
I’m surprised it’s not way more than half. Almost every subjective thing I read about LLMs oversimplifies how they work and hugely overstates their capabilities.
Given the US adults I see on the internet, I would hazard a guess that they’re right.
AI is essentially the human superid. No one man could ever be more knowledgeable. Being intelligent is a different matter.
Is stringing words together really considered knowledge?
It’s semantics. The difference between an llm and “asking” wikipedia a knowledge question is that the llm will “answer” you with predictive text. Both things contain more knowledge than you do, as in they have answers to more trivia and test questions than you ever will.
I guess I can see that, maybe my understanding of words or their implication is incorrect. While I would agree they contain more knowledge I guess that reads different to me than being more knowledgeable. I think that maybe it comes across as anthropomorphizing a dataset of information to me. I could easily be wrong.
If they’re strung together correctly then yeah.
As much as a search engine is
The average literacy level is around that of a sixth grader.
This tracks
I believe LLMs are smarter than half of US adults
This is sad. This does not spark joy. We’re months from someone using “but look, ChatGPT says…” To try to win an argument. I can’t wait to spend the rest of my life explaining to people that LLMs are really fancy bullshit generator toys.
Already happened in my work. People swearing an API call exists because an LLM hallucinated it. Even as the people who wrote the backend tells them it does not exist
Wtf is an llm
Large language model. It’s what all these AI really are.
LLM is proof that even if you’re extremely stupid, having access to information can still make you sound smart.
That is the problem with US adults. Half of them probably is dumber than AI…
The grammatical error here is chef’s kiss.
What a very unfortunate name for a university.