you end up producing while trying understand a paper, we wanted to bring that online.

you solved the cold start by just annotating yourself.

we want to push things in that direction and also try to build a platform that make it easier for people to collaborate.

This is actually a trend. We’re seeing more and more people collaborating online or on papers.

Open source of course existed much before GitHub but it had really allowed a lot more people to come in on be able to get into open source, and start contributing

paper recommendations. It’s really hard to

we have the Weekly Journal. We release the paper every week that we select and we annotate it or somebody in the community annotates it.

What we did is build the Chrome extension that basically allows people to see all the commenting interface on arXiv papers. You don’t have to go another website, you’re just reading arXiv papers and you see the comments on the side if you have the Chrome extension installed.

One of the things that we noticed is that especially for areas like machine learning and deep learning, arXiv is super important because the new papers are coming out at such a high rate that people don’t wait before the papers go to journals before they start working on top of it and using the stuff that other people discovered.

Right now, it’s only through the comments. But we are actually thinking about implementing some rating system for papers.

Right now, we’re just trying to solve these problems that people have pointed out and created a place where people can just post comments, and discuss around a paper.

An example of the problems that people mentioned was for instance reference extraction.

initially we wanted really to convince people to install the Chrome extension. And so let’s solve the hair on fire problems that they are describing here. And then once we have people using the Chrome extension then we can expand into open collaboration around papers since they are already there, so that was that.

you might need to change things dramatically in order to get people to start publishing negative results which could be incredibly useful for other researchers.

The Simpson’s paradox is that depending on how you cut the data, you might get different results.

one of the things that we noticed or that at least I noticed from reading papers is that sometimes it’s not like the discovery paper that is the most impactful paper.

It’s going to be useful in different fields and so I think it’s always beneficial for science if you try to make it as accessible as possible.

Citations are not perfect but I wouldn’t say that we have a great answer for that. What’s a better proxy and how you should go about it? I don’t think anybody really right now has a better answer or not that we’ve heard about. It’s an interesting problem.

we would love to see other either via Fermat or some other platform to try to tackle that and try to do something to make the peer review a better system or to change it significantly. I think there is a lot of work left to be done there. Which can have a very significant impact of science.

what Patrick Collison was talking about in his tread. Where he basically says, “I’d pay a lot more for books if I could see the highlights annotations and marginalia of friends or people I follow.”

the purpose of that book is not only for you to absorb all the knowledge that is there but it’s also to get you thinking about what’s being talked about in the book.

he authors of the paper sometimes they are not going to know where people are going to know where people are going to struggle understanding the paper often times.

And so when you’re writing, you want to be really careful. Make sure that what you’re saying is correct and you know that you might have somebody that actually, a college kid or whoever that is reading through that paper and then is going to use your annotation to help them understand.

you have the responsibility. We feel that responsibility towards those people to do a good job at it.

The more you annotate a paper, the more people there are at the edge of starting to understand what the paper is about. You start getting more and more questions because the circle expands

especially with Twitter, one of the things that we learn is that learning something, learning a concept or learning a fact is really, really addictive.

There is something to be said that humans have some untapped fountains of goodwill that we might not be leveraging as much as we could.

we think we could build these types of platforms either for profit or non-profit. Just something we’ll defer further down into the future.