How to Trade Prediction Markets Without an Opinion on the Event - Ep. 979

Hi, everyone. Welcome to Unchained, your no hype resource for all things crypto. I'm your host, Laura Shin. Thanks for joining this livestream. Before we get started, just a quick reminder, nothing you hear on Unchained is investment advice. The show is for informational and entertainment purposes only, and my guests and I may hold assets discussed in the show. For more disclosures, visit unchainedcrypto.com. Also, you'll notice something new in today's episode. Instead of our usual ad spots, we're introducing a different sponsored format. We interviewed our sponsor, Walrus, a project we actually use at Unchained for data storage. And throughout the episode, you'll hear short excerpts from that interview. Even though those segments are sponsored, we also think the material is genuinely interesting and worth your time. We're going to start with the first of those clips now. Maybe we'll we could put it into two categories. There's a very practical hands on problem with data, which is in this AI era, we need gigantic amounts of data. And not only do we need gigantic amounts of data, that data is then used to create even more data. So we are exponentially increasing the amount of data every single day. This is very expensive to store, and it's expensive not just in terms of money, but in computing power and time and speed. And then you have different types of data. So structured data, all well and good, especially when we're talking about a blockchain. But the more we're using, blockchains and and AI together and big computations, it's unstructured data that we don't really have or haven't really had anything super performant anywhere to store it or calculate it. And that's actually how Walrus was originally envisaged, that small, you know, small data structured data that can be stored on a blockchain. But the longer that blockchain exists, the more data there is, the slower it is, the the more expensive it is. And then once you start want to do things like store large unstructured files like a video or a song, it's really far too, expensive to do that on a blockchain. So we built WARRIS as not just data storage, but a whole data layer to handle, that sort of amount of data. As it turns out, we have found out since we have been live that people want to use it for small data too. So we have also now solved that problem with the with a new technical release called Quilt. Today's guest is Marcus Thielen, CEO of ten x Research. Welcome, Marcus. Hey, Laura. Thanks for having me. Yeah. Excited to chat with you. So the prediction market space is really hot right now. The two biggest players, Polymarket and Kalshi, both have sky high valuations. They're intensely competitive with each other, as I'm sure most people on x know. And that's probably only going to escalate now that they're newly competing on US turf with the entrance of Polymarket into …