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this post was submitted on 26 Aug 2023
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No duh - why would it have any ability to do that sort of task?
Part of the reason for studies like this is to debunk peoples' expectations of AI's capabilities. A lot of people are under the impression that cgatGPT can do ANYTHING and can think and reason when in reality it is a bullshitter that does nothing more than mimic what it thinks a suitable answer looks like. Just like a parrot.
It doesn't check the stuff it generates other than on grammatical and orthographical errors. It's not intelligent or has knowledge outside of how to create text. The text looks useful, but it doesn't know what it contains in a way something intelligent would.
Recent papers have shown that LLMs build internal world models but about a topic as niche and complicated as cancer treatment, a chatbot based on GPT-3.5 be woefully ill-equipped to do any kind of proper reasoning.
If you want an AI that can create cancer treatment, you need to train it on creating cancer treatment, and not just use one that is trained on general knowledge. Even if you train it on science publications, all it can now reliably do is mimic a science journal since it has not been trained on how to parse the knowledge in the journal itself.
Which is exactly the problem people think has been solved but isn't anywhere near being solved. It cannot comprehend semantics, the meaning of things is completely beyond it and all other AIs.
Unfortunately saying I made a thing that creates vaguely human looking speech with little content isn't astonishing to most people hence they are looking for something useful this breakthrough machine must be able to do and then they don't find anything leading to these articles.