When did you launch? Seems like very good revenue if you launched recently and already reached 2000/month considering the low price and high cost of the OpenAI API.
Edit: Your T&C says it was written in 2019, you can't possibly been running the project since then right? https://gpt.space/terms-of-service
Hence the additional questions :) Making $2k+ in just a month (GPT4 API access opened for invite-only) would mean a ton of users quickly, which is hard to believe.
It is available over IPFS. Do you have a client installed and running?
EDIT: if you do have IPFS and the companion extension then libgen.crypto should resolve to something like `http://libgen.crypto.ipns.localhost:8080/` which currently works as advertised.
All and all it is a non trivial problem. You have at the very least have to attach some kind of form of reputation system into the verification process. Even with that you will still have the "misunderstood genius" issue, or the "excellent reputation professor" that everyone trust without (enough) verification.
But at least there’s be a system for other researchers to record “failed to replicate” that could give a channel to critique reputable professors that’s not controlled by the same professors (as they often can in journals).
Since it was for a ETHGlobal hackathon I thought it would be fun to experiment with the feature where we mint an NFT where the metadata points to the IPFS link. You could then do whatever you do with an NFT.
I wonder how much information do you get from arxiv regarding the dependency graph via citations. Could there be a way that I, as I upload my own manuscript, to tip the authors of the people I citated and conversely someday have the possibility of also generating revenue personally as such? It would be much nicer, I think, if the fees that are currently paid to journals to instead go to the authors that also contributed to my work.
There are for sure interesting ideas related to new forms of scientific funding. The issue I have and why the project is currently on standby is how to combat spam/hoax articles