"In the examine|AI system, the base AI (e.g. ChatGPT) is continuously supervised and corrected by a supervisor AI. The supervisor can both passively monitor and evaluate the output of the base AI, or can actively query the base AI. This way, users and developers interact with the team of base and supervisor systems. Performance, robustness and truthfulness are enhaced by the automated evaluation, critique and improvement afforded by the supervisor.
Our approach is inspired by the Socratic method, which aims to identify underlying assumptions, contradictions and errors through dialog and radical questioning."
> Also PLoS one is basically not peer reviewed - they accept every paper after a short review.
That is absolutely not true, PLOS ONE has proper peer-review, their review guidelines just focus on technical soundness and de-emphasize subjective noteworthiness.
(As a personal anecdote, I managed to get one of my papers rejected from PLOS ONE once...)
Which often is terrible advice that mostly serves to limit liability. Most medical doctors will not have a good, evidence-based answer to such questions.
Better reply: Search the internet for authoritative sources (e.g., official guidance of governmental institutions) or medical guidelines.
Being very efficient at mostly extractive summarization and abstaining from abstractive summarization does seem a better bet though, because fewer things can go wrong and it is easier to check the summaries against the full text.
"BioNTech CEO expects vaccine can be fridge-stored for two weeks"
"Speaking at an online media briefing on the purchase of an additional German production site, Chief Executive Ugur Sahin said tests have recently confirmed the genetic compound remains stable at 2 to 8 degrees Celsius for five days but he expects storability at those conditions to be two weeks or longer."
"In the examine|AI system, the base AI (e.g. ChatGPT) is continuously supervised and corrected by a supervisor AI. The supervisor can both passively monitor and evaluate the output of the base AI, or can actively query the base AI. This way, users and developers interact with the team of base and supervisor systems. Performance, robustness and truthfulness are enhaced by the automated evaluation, critique and improvement afforded by the supervisor.
Our approach is inspired by the Socratic method, which aims to identify underlying assumptions, contradictions and errors through dialog and radical questioning."