But this content is presumably in its training set, no? I'd be interested if you did the same task for a collection of books published more recently than the model's last release.
It replied: "The text indicates that graphene sheets present high optical transparency and are able to absorb thermal radiations with high efficacy. They can then convert these radiations into electrical signals efficiently.".
Screenshot of the PDF with the relevant sentence highlighted: https://i.imgur.com/G3FnYEn.png
[0] https://www.routledge.com/Advances-in-Green-and-Sustainable-...
To me, that’s useful intelligence. I can already search text for verbatim matches, I want the AI to understand that “thermal radiations” and “infrared light” are the same thing.
> "Graphene is a promising material that could change the world, with unlimited potential for wide industrial applications in various fields... It is the thinnest known material with zero bandgaps and is incredibly strong, almost 200 times stronger than steel. Moreover, graphene is a good conductor of heat and electricity with very interesting light absorption properties."
Interestingly, the first sentence of the response actually occures directly after the latter part of the response in the original text.
Screenshot from the document: https://i.imgur.com/5vsVm5g.png.
Edit: asking it "What absorbs infrared light and converts it into electrical signals?" yields "Graphene sheets are highly transparent presenting high optical transparency, which absorbs thermal radiations with high efficacy and converts it into electrical signals efficiently." verbatim.
This doesn't mean you're wrong, though.
(Or worse, that Google already had a copy because of Google Books and didn't think "might training on this explode in our face like that thing with the Street View WiFi scanning?")