> Conventional research papers require readers to invest substantial effort to understand and adapt a paper's code, data, and methods to their own work [...]

But that's the point! If we take out the effort to understand, really understand something on a deeper level from even research, then how can there be anything useful build on top of it? Is everything going to loose any depth and become shallow?

Kill me now.

Yes, I will get right on that. I believe that killing you is the right strategy to help you escape from a world where AI takes over every aspect of human existence in such a way that all those aspects are degraded.

I'm still alive.

That is a very good point, and I am sorry.

So that I understand, is the idea that you point this tool at a GitHub repository, it figures out how to install and run it (figures out the build environment, installs any dependencies, configures the app, etc), plus it figures out how to interact with it, and then you send it queries via a chatbot?

Does it take only the repository as input, or does it also consume the paper itself?

I tried it a few weeks ago. Wasn't very impressed with the resulting code compared to me manually working with an LLM and an uploaded research paper, which takes less time and costs less.