Meta “programmed it to simply not answer questions,” but it did anyway.
Hallucinating is a fancy term for BEING WRONG.
Unreliable bullshit generator is still unreliable. Imagine that!
That’s like saying car crash is just a fancy word for accident, or cat is just a fancy term for animal.
Hallucination is a technical term for this type of AI, and it’s inherent to how it works at it’s core.
And now I’ll let you get back to your hating.
The funny thing is we hallucinate all our answers too. I don’t know where these words are coming from and I am not reasoning about them other than construction of a grammatically correct sentence. Why did I type this? I don’t have a fucking clue. 😂
We map our meanings onto whatever words we see fit. If I had a dollar for every time I’ve heard a Republican call Obama a Marxist still blows my mind.
Thank you for saying something too. Better than I could do. I’ve been thinking about AI since I was a little kid. I’ve watched it go from at best some heuristic pathfinding in video games all the way to what we have now. Most people just weren’t ever paying attention. It’s been incredible to see that any of this was even possible.
I watched Two Minute Papers from back when he was mostly doing light transport simulation (raytracing). It’s incredible where we are, but baffling people can’t see the tech as separate from good old capitalism and the owner class. It just so happens it takes a fuckton of money to build stuff like this, especially at first. This is super early.
AI doesn’t know what’s wrong or correct. It hallucinates every answer. It’s up to the supervisor to determine whether it’s wrong or correct.
Mathematically verifying the correctness of these algorithms is a hard problem. It’s intentional and the trade-off for the incredible efficiency.
Besides, it can only “know” what it has been trained on. It shouldn’t be suprising that it cannot answer about the Trump shooting. Anyone who thinks otherwise simply doesn’t know how to use these models.
It is impossible to mathematically determine if something is correct. Literally impossible.
At best the most popular answer, even if it is narrowed down to reliable sources, is what it can spit out. Even that isn’t the same thing is consensus, because AI is not intelligent.
If the ‘supervisor’ has to determine if it is right and wrong, what is the point of AI as a source of knowledge?
It is impossible to mathematically determine if something is correct. Literally impossible.
No, you’re wrong. You can indeed prove the correctness of a neural network. You can also prove the correctness of many things. It’s the most integral part of mathematics and computer-science.
For example a very simple proof: with the conjecture that an even number is 2k of a number k, then you can prove that the addition of two even numbers is again an even number (and that prove is definite): 2a+2b=2(a+b), since a+b=k for some k.
Obviously, proving more complex mathematical problems like AI is more involved. But that’s why we have scientists that work on that.
At best the most popular answer, even if it is narrowed down to reliable sources, is what it can spit out. Even that isn’t the same thing is consensus, because AI is not intelligent.
That is correct. But it’s not a limitation. It’s by design. It’s the tradeoff for the efficiency of the models. It’s like lossy JPG compression. You accept some artifacts but in return you get much smaller images and much faster loading times.
But there are indeed "AI"s and neural networks that have been proven correct. This is mostly applied to safety critical applications like airplane collision avoidance systems or DAS. But a language model is not safety critical; so we take full advantage.
If the ‘supervisor’ has to determine if it is right and wrong, what is the point of AI as a source of knowledge?
You’re completely misunderstanding the whole thing. The only reason why it’s so incredibly good in many applications is because it’s bad in others. It’s intentionally designed that way. There are exact algorithms and there approximation algorithms. The latter tend to be much more efficient and usable in practice.
That is, unless you define correct in mathematical terms. Which no one has done yet.
We should understand that 99.9% of what wee say and think and believe is what feels good to us and we then rationalize using very faulty reasoning, and that’s only when really challenged! You know how I came up with these words? I hallucinated them. It’s just a guided hallucination. People with certain mental illnesses are less guided by their senses. We aren’t magic and I don’t get why it is so hard for humans to accept how any individual is nearly useless for figuring anything out. We have to work as agents too, so why do we expect an early days LLM to be perfect? It’s so odd to me. Computer is trying to understand our made up bullshit. A logic machine trying to comprehend bullshit. It is amazing it even appears to understand anything at all.
Is it wrong to root this on simply because I hate that shitbag?
Hatred is a path to the dark side.
As evidenced by you now rooting for misinformation.
maybe Meta AI is into something
Kaplan noted that AI chatbots “are not always reliable when it comes to breaking news or returning information in real time,” because “the responses generated by large language models that power these chatbots are based on the data on which they were trained, which can at times understandably create some issues when AI is asked about rapidly developing real-time topics that occur after they were trained.”
If you’re expecting a glorified autocomplete to know about things it doesn’t have in its training data, you’re an idiot.
Yeah, the average person is the idiot here, for something they never asked for, and for something they see no value in. Companies threw billions of dollars at this emerging technology. Many things like Google Search have hallucinating, error-prone AI forced into the main product that is impossible to opt-out or use the (working) legacy version now…
Nobody is forcing you to use it.
I’m using it and I see great value in it. And if there are people that see value in a product then it’s worth the investment.
Yes, people are being forced to use it if they want to, for instance, search using Google or Bing.
As the parent comment suggested, or there’s no way to opt out, currently.
I’m glad you see value in it; I think the injection of LLM queries into search results I want to contain accurate results (and nothing more) a useless waste of power.
I always ask all people defending AI, or rather LLMs, what’s the great value they all mention in their comments. So far the “best” answer I got was one dude using LLMs to extract info from decades old reports that no one has checked in 20 years hahaha. So glad we are allowing LLMs to deetroy the environment and plagiarize all creative work for that lol.
So, what is the great value you see man?
There are definitely idiots, but these idiots don’t get their ideas of how the world works out of thin air. These AI chatbot companies push the cartoon reality that this is a smart robot that knows things hard in their advertisements, and to learn otherwise you have to either listen to smart people or read a lot of text.
Does the AI consistently say that, no matter who asks?
Because if so, that’s not a hallucination.
