A shared tree of knowledge for all of machine learning

But you also create such a little universe for researchers, if two, three researchers from the same field going after the same problem, let's say, and they actually kind of benefit from each other's, the beauty of science, like I'm not against that, but then how they... How do you find this equilibrium? in a way, know, things are like contributing, but then the moment that a breakthrough happens, let's say hypothetically, what two researchers are so close and they also like one get to have a better experiment, call it luck or not. And then the breakthrough happens on that user's journey. Does it like sense at all to you? Like, because imagine teasers became super powerful. super power users that are really using it in a way. It also helps the system to get better. When something pops up and happens, the breakthrough, how does it decide? Which user should I feed into this? If you are so close to one another in the experiments and they get at the same time,

I think you're getting at something that's really critical, I think, for the future and probably doesn't exist today, which is a shared kind of tree of knowledge. think with, you know, say you're like a hedge fund trying to build a model to make more money, it's very unlikely that they will ever be sharing their experiments with anyone for anything. you know, imagine you're doing like climate science and you use thesis to build out better, better models for predicting the weather.

Mm.

we should absolutely have, you know, it could be as simple as like a website where everyone can update, upload their, you know, experiments and ensure it that way. Um, the way that we're thinking about it now is that thesis was really just a tool for researchers. you know, if thesis isn't making the discovery, like the researcher is setting the objective and then maybe thesis discover something and now they have something to, uh,

Hmm.

both verify review and then also publish and share with the world. So that's how we're thinking about it. But the idea of having a shared place where we can literally grow out the tree of knowledge for all of ML is something that gets both Sergio and I really excited about working on this stuff every day. And I think it's another one of those things that will exist.