The Interconnectedness of Machine Learning

The aim of the benchmark would be to come up with different algorithms or also changing a model. I think it's just been really fun to learn about different kinds of data and data sets. It's very easy to get siloed into your own bubble or research community. But, you know, when you start going a little bit broader, you see, oh, like a lot of the things that people are working on in the music space are similar to some of the things they're working on in video. So very neat, interesting kind of hidden bits in this journey from this work that you didn't expect starting out on it.