Curiously enough, I don't get the same result as the author on plain ChatGPT-4. https://chat.openai.com/share/e213e0bd-2838-45e2-9942-e52954... https://chat.openai.com/share/64bc62d3-042c-40c4-8d50-8e28ce... Hilariously, plugging the example in the article into Bing enhanced ChatGPT-4, ChatGPT-4 w/ Bing hallucinates because of that very article! https://chat.openai.com/share/4fe50933-8436-44ad-a778-6297ca... If you t…
"Hallucinating" AIs sound creative, but let's not celebrate being wrong
41–50 of 196 posts
Re: "Hallucinating" AIs sound creative, but let's not celebrate being wrong
#42Re: "Hallucinating" AIs sound creative, but let's not celebrate being wrong
#43Given that these AI systems just like any other machine operate at scale, automated, and fast, they must be precise and transparent, that is where the work should be.
Re: "Hallucinating" AIs sound creative, but let's not celebrate being wrong
#44The LLM AI technology generation is optimized to be fluently conversational and not to be factually correct all the time. 1) Hallucinations often appear because LLMs are designed to create fluent, coherent text. 2) LLMs have no understanding of the underlying reality that language describes. 3) LLMs use statistics to generate language that is grammatically and semantically correct within the context of the prompt. It…
I always find this point a bit odd because humans aren't "optimized" to be correct either.
> "LLMs have no understanding of the underlying reality"
I struggle with this one because I see both sides of it. I was making a prompt the other day and gave a CSV file as an input and told the LLM if could only answer with values from one column and it did exactly as I asked. It's hard for me to see things like that and not believe it has an understanding at some level.
Re: "Hallucinating" AIs sound creative, but let's not celebrate being wrong
#45Contra the headling, we should "celebrate being wrong" – when it's wrong in fast, interesting, & voluminous ways that can then be filtered or corrected. That's how lots of science, innovation, & learning work: generate many superficially-plausible candidates via a fast-and-loose process, then refine with a more rigorous evaluation. That AIs, in the form of LLMs, are now doing this so well was unexpected, and progress…
Science progresses because people are testing plausible ideas not random ideas. We don’t do human trials on random drugs, we do human trials on promising ones. Animal trials are more open but even then candidates are carefully considered as being viable. Things are even more open the earlier you are in drug discovery, but we aren’t testing molecules using Dubnium or most elements on the periodic table. Similarly Ecol…
Re: "Hallucinating" AIs sound creative, but let's not celebrate being wrong
#46Curiously enough, I don't get the same result as the author on plain ChatGPT-4. https://chat.openai.com/share/e213e0bd-2838-45e2-9942-e52954... https://chat.openai.com/share/64bc62d3-042c-40c4-8d50-8e28ce... Hilariously, plugging the example in the article into Bing enhanced ChatGPT-4, ChatGPT-4 w/ Bing hallucinates because of that very article! https://chat.openai.com/share/4fe50933-8436-44ad-a778-6297ca... If you t…
You have side channel data, so you didn't run the same thing he did.
If you want to run the same test then you have to clear your personalized data as well.
Re: "Hallucinating" AIs sound creative, but let's not celebrate being wrong
#47Re: "Hallucinating" AIs sound creative, but let's not celebrate being wrong
#48All thoughts are hallucinations. https://en.wikipedia.org/wiki/Cogito,_ergo_sum
So unless someone was arguing that LLMs didn't exist, that principle is pretty orthogonal to the discussion.
Re: "Hallucinating" AIs sound creative, but let's not celebrate being wrong
#49The LLM AI technology generation is optimized to be fluently conversational and not to be factually correct all the time. 1) Hallucinations often appear because LLMs are designed to create fluent, coherent text. 2) LLMs have no understanding of the underlying reality that language describes. 3) LLMs use statistics to generate language that is grammatically and semantically correct within the context of the prompt. It…
Why we baby AI on this front, I have no idea.
Re: "Hallucinating" AIs sound creative, but let's not celebrate being wrong
#50Earlier quoted context omitted.
Science progresses because people are testing plausible ideas not random ideas. We don’t do human trials on random drugs, we do human trials on promising ones. Animal trials are more open but even then candidates are carefully considered as being viable. Things are even more open the earlier you are in drug discovery, but we aren’t testing molecules using Dubnium or most elements on the periodic table. Similarly Ecol…
Yes - but even bulk LLM 'hallucinations' are usually plausible, and far from 'random'.
Hallucinations are in general ridiculously incorrect and nowhere close to anything worth testing. Put another way what percentage of molecules are worth testing as a viable treatment for epilepsy? 1 in 100 trillion, less? Do you really expect hallucinations to generally pick both plausible and untested targets here?