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LLMs Will Always Hallucinate, and We Need to Live with This

arxiv.org

51–60 of 274 posts

Re: LLMs Will Always Hallucinate, and We Need to Live with This

#51
post #38

Isn’t hallucination just the result of speaking out loud the first possible answer to the question you’ve been asked? A human does not do this. First of all, most questions we have been asked before. We have made mistakes in answering them before, and we remember these, so we don’t repeat them. Secondly, we (at least some of us) think before we speak. We have an initial reaction to the question, and before expressing…

I also like comparing a human thought experiment like Einstein (?) would do to forcing an llm to write code to answer a question. Yes you can make a good guess, but making many smaller obvious decisions that lead to an answer is a stronger process.

Re: LLMs Will Always Hallucinate, and We Need to Live with This

#52
post #38

Isn’t hallucination just the result of speaking out loud the first possible answer to the question you’ve been asked? A human does not do this. First of all, most questions we have been asked before. We have made mistakes in answering them before, and we remember these, so we don’t repeat them. Secondly, we (at least some of us) think before we speak. We have an initial reaction to the question, and before expressing…

> A human does not do this.

You obviously had never asked me anything. (Specialy tech questions while drinking a cup of cofee.) If I had a cent for every wrong answer, I'd be already a millionair.

Re: LLMs Will Always Hallucinate, and We Need to Live with This

#53
post #5

A key skill necessary to work effectively with LLMs is learning how to use technology that is fundamentally unreliable and non-deterministic. A lot of people appear to find this hurdle almost impossible to overcome.

Honesty and accuracy builds trust.

And when you trust something it reduces the cognitive load because you don't have to build a mental model of the different ways it could be deceiving you and how to handle it.

Which is why for me at least when I use LLMs I find them useful but stressful.

Re: LLMs Will Always Hallucinate, and We Need to Live with This

#54
post #36
post #6

Earlier quoted context omitted.

Exactly. LLMs will sometimes be inaccurate. So are humans. When LLMs are clearly better than humans for specific use cases, we don't need 100% perfection. Autonomous cars will sometimes cause accidents. So do humans. When AVs are clearly safer than humans for specific driving scenarios, we don't need 100% perfection.

If we only used LLMs for use cases where they exceed human ability, that would be great. But we don't. We use them to replace human beings in the general case, and many people believe that they exceed human ability in every relevant factor. Yet if human beings failed as often as LLMs do at the tasks for which LLMs are employed, those humans would be fired, sued and probably committed. Yet any arbitrary degree of erro…

I don't think it's true that modern LLMs are used to replace human beings in the general case, or that any significant number of people believe they exceed human ability in every relevant factor.

Re: LLMs Will Always Hallucinate, and We Need to Live with This

#55
post #4

OK - there's always a nonzero chance of hallucination. There's also a non-zero chance that macroscale objects can do quantum tunnelling, but no one is arguing that we "need to live with this" fact. A theoretical proof of the impossibility of reaching 0% probability of some event is nice, but in practice it says little about whether we can exponentially decrease the probability of it happening or not to effectively mi…

Plus, why do we care about that degree? If we could make it so humans don't hallucinate too that would be great, but it ain't happening. Humans memory gets polluted the moment you feed them new information, as evidence by how much care we have to give when trying to extract information when it matters, like law enforcement. People rag on LLMs constantly and i get it, but they then give humans way too much credit imo.…

Humans have two qualities that make them infinitely superior to LLMs for similar tasks.

a) They don't give detailed answers for questions they have no knowledge about.

b) They learn from their mistakes.

Re: LLMs Will Always Hallucinate, and We Need to Live with This

#56
post #19

It's crazy to me that we managed to get such an exciting technology both theoretically and as a practical tool and still managed to make it into a bubbly hype wave because business people want it to be an automation technology, which is just a poor fit for what they actually do It's kind of cool that we can make mathematical arguments for this, but the idea that generative models can function as universal automation…

> want it to be an automation technology They want it to be a wage reduction technology. Everything else you've noticed is a direct consequence of this, and only this, so the analysis doesn't actually need to be any deeper than that.

Business culture's tribal knowledge about technology seems to have by and large devolved into wanting only bossware, that all gizmos should function as a means of controlling their suppliers, their labor force, or their customers. I think this is a good sign that the current economic incentives aren't functioning in a desirable way for most people and this needs significant intervention

Re: LLMs Will Always Hallucinate, and We Need to Live with This

#57
post #38

Isn’t hallucination just the result of speaking out loud the first possible answer to the question you’ve been asked? A human does not do this. First of all, most questions we have been asked before. We have made mistakes in answering them before, and we remember these, so we don’t repeat them. Secondly, we (at least some of us) think before we speak. We have an initial reaction to the question, and before expressing…

> A human does not do this

Have you met humans?

Re: LLMs Will Always Hallucinate, and We Need to Live with This

#58

> By establishing the mathematical certainty of hallucinations, we challenge the prevailing notion that they can be fully mitigated Having a mathematical proof is nice, but honestly this whole misunderstanding could have been avoided if we'd just picked a different name for the concept of "producing false information in the course of generating probabilistic text". "Hallucination" makes it sound like something is goi…

I think there's a useful distinction between plausible-seeming text that is wrong in some subtle way, vs text that is completely fabricated to match a superficial output format, and the latter is what I wish people used "hallucination" to mean. A clear example of this is when you ask an LLM for some sources, with ISBNs, and it just makes up random titles and ISBNs that it knows full well do not correspond with reality. If you ask "Did you just make that up?" the LLM will respond with something like "Sorry, yes, I made that up, I actually just remembered I can't cite direct sources." I wonder if this is because RLHF teaches the LLM that humans in practice prefer properly formatted fake output over truthful refusals?

Re: LLMs Will Always Hallucinate, and We Need to Live with This

#59

> By establishing the mathematical certainty of hallucinations, we challenge the prevailing notion that they can be fully mitigated Having a mathematical proof is nice, but honestly this whole misunderstanding could have been avoided if we'd just picked a different name for the concept of "producing false information in the course of generating probabilistic text". "Hallucination" makes it sound like something is goi…

It's an inaccuracy.

Re: LLMs Will Always Hallucinate, and We Need to Live with This

#60
post #38

Isn’t hallucination just the result of speaking out loud the first possible answer to the question you’ve been asked? A human does not do this. First of all, most questions we have been asked before. We have made mistakes in answering them before, and we remember these, so we don’t repeat them. Secondly, we (at least some of us) think before we speak. We have an initial reaction to the question, and before expressing…

> Let me know if you need any further revisions!

Fun, you got me :)

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