This is just my two cents but I pay for both GPT and Claude as I find they complement each other.
I found Claude with the bigger context window quite good for doing "reviews" of multiple scientific papers, and answering questions about things like common findings or differences.
GPT couldn't do that natively at all until recently (and the few third party api-based solutions I tried wasn't good at it either), and just copy pasting text into GPT very quickly made it loose track.
Maybe the new bigger context for GPT means I can cancel Claude, but I haven't yet, going to give 2.1 a proper try first.
I also tried Elicit, and I believe they are on the right track, but did not produce anything useful when I tried.
I really think there is potential in using LLM's to for example do high level "reviews" of what is published on a specific topic but I have yet to find something that can do that. Claude with feeding it select papers manually is the closest. I hope someone at Google is building something around scholar.google.
I found Claude with the bigger context window quite good for doing "reviews" of multiple scientific papers, and answering questions about things like common findings or differences.
GPT couldn't do that natively at all until recently (and the few third party api-based solutions I tried wasn't good at it either), and just copy pasting text into GPT very quickly made it loose track.
Maybe the new bigger context for GPT means I can cancel Claude, but I haven't yet, going to give 2.1 a proper try first.
I also tried Elicit, and I believe they are on the right track, but did not produce anything useful when I tried.
I really think there is potential in using LLM's to for example do high level "reviews" of what is published on a specific topic but I have yet to find something that can do that. Claude with feeding it select papers manually is the closest. I hope someone at Google is building something around scholar.google.