alt Hacker NewsYou really just need to augment with tight prompting and know how to extract information and links to peer reviewed literature and well sourced information. Once again, technology here is a lever. Separating wheat from chaff has been key in academic and information pursuits forever and it is becoming ever more important.
And you're gonna review that voluminous academic literature in a field you're not familiar with, right?...
That is my point: an LLM can be great if you know the field and can spot errors. Or, to a lesser extent, if you have some automatic feedback loop that the model can't easily game ("does this code pass unit tests?"). It's a lot less great if there's a risk that you won't detect the early drift.