Found ChatGPT’s Humans in the Loop
mindmatters.ai
mindmatters.ai
I think this should be taken down from HN, it's extremely misleading to anyone who might mistakenly believe that ChatGPT has self-knowledge.
>Previously, I pointed out aspects of ChatGPT that implied humans were helping craft the chatbot’s responses.
He links as a source an article where he gets ChatGPT to recall a detail from earlier in the current conversation, claims that is not a capability of ChatGPT, and insists that means there is a human editor involved.
But that is a capability of ChatGPT. It has limited local recall, with a small token budget, but it absolutely will remember the name of the fake company the author made up in their first question. That entire article lambasting the tech is based on a completely incorrect assumption, declared by the author with absolute confidence.
Edit: The author is not on twitter, there's no comment section or contact information provided. There's no means provided to even redress this analysis published on fallacious logic.
(Although FWIW it wouldn't surprise me if some of the "hall monitor" responses were pre written strings the model was tweaked to heavily favour using in response to certain prompts...)
Ironically, one of the easiest thing to spot that marks ChatGPT's responses as inhuman is its confidence in reporting something as factual and then when contradicted the way that it reports the opposite. In my experience, humans tend to put up more of a fight to defend their perspectives even when they are wrong.
This just comes down to the author being loose with their conclusions. It's unclear to me whether this is intentionally hyperbolic or satirical, or whether the author's claims are their actual beliefs. I'd lean towards the first explanation based on Eric Holloway's bio. But this is the real kicker that I'd disagree with:
> "Now, I have an explicit admission from the chatbot"
No, you have a language model's prediction of what would complete a conversation where you presented an idea and the model has sufficient data to write sentences that would conform to the idea rather than contradicting it. Given knowledge that this is how the responses work, inferring that the model is reporting any sort of accurate information must be inherently treated as suspect.
It's reasonably possible to lead the model down a path of conversation where the opposite idea is presented (that humans are not in the loop). That this is so indicates that this article is incorrect in it's stated conclusion (again assuming that it's not satire).
Curious what readers more informed about AI tech will have to say. From my limited understanding, this seems like an interesting display of getting ChatGPT to analyze itself and to contradict its own analysis, but not necessarily an autopsy of its real functionality.
On a strictly factual note, the author links another article in which ChatGPT recollects specific details from earlier in the conversation, and claims that contradicts ChatGPT's stated capabilities and indicates a human editor is involved. But OpenAI states on their website that ChatGPT is capable of limited working memory of its ongoing conversation.[1] The author wrote an entire article on the flawed assumption that ChatGPT cannot remember details of its own ongoing conversation, and that does make me question their credibility on this subject.
[0]https://mindmatters.ai/2022/12/yes-chatgpt-is-sentient-becau... [1]https://help.openai.com/en/articles/6787051-does-chatgpt-rem...
Edit: And with no comment section or author contact info provided, I can't even see a way to submit a correction about that mistake to this outlet.
https://mindmatters.ai/2023/01/large-language-models-can-ent...
> The reality is quite different. LLMs are text predictors, nothing more. They are not designed to know any facts whatsoever. Indeed, they have no way of distinguishing between true and false statements because they literally do not know the meaning of any of the words in the text they generate. They are convincing BS artists, which is why one of us proposed that they be called faux intelligence instead of artificial intelligence.
...
> Our point is not that LLMs sometimes give dumb answers. We use these examples to demonstrate that, because LLMs do not know what words mean, they cannot use knowledge of the real world, common sense, wisdom, or logical reasoning to assess whether a statement is likely to be true or false.
Even though the whole process is more complicated then what ive explained above, the model is essentially trained this way.
One of the reasons of releasing it for free for now is so they can gather data for further fine tuning the model (this is why after each answer there's a thumbs-up, thumps-down button for you to rate chatgpts responses)
You can get it to "admit" just about anything if you ask enough leading questions.
One of the factors seems to be that in cultures I know it is usually not polite to just say "you are wrong". HN or good coders teams are niches where this does not apply, which great.
Regardless, you can instruct it to be a teacher instead or whatever, there is still much space for improvement without any breakthrough. I'm still in awe just how powerful it is after only consuming text, never seeing any picture, 3d world, physics etc.
Furthermore, if there were actual humans secretly writing ChatGPT responses, then it can be guaranteed they would not admit this. And God disappears in a puff of logic.
This is a good example of how you can "lead" chatGPT to use internally consistent logic to justify a fallacy. It's annoying when you are trying to research and this kind of thing happens. You really have to verify anything it generates.
ChatGPT itself says all kinds of things; journalists using it as a source are either badly uninformed or purposely misleading readers.