Grass: Live Context Retrieval Powered By Millions of Nodes | Crypto x AI Event
Episode publishedPodcast: The Delphi PodcastThe Delphi Podcast
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Hey, everyone. John from Delphi Ventures here. Today, I'm excited to have Andre, cofounder and CEO of WIDDEN Labs, core contributor to Grass Network. We're gonna have a conversation with Andre for our AI and crypto conference. Andre, welcome. It's great to have you. Hey, John. Thank
you so much for having me here. I had a ton of fun at the last Delphi podcast that I did, and, I've been looking forward to this.
Andre, let's, let's dive straight in. So you guys are building data layer for, AI. You squarely fit into the intersection of crypto and AI. In your own, words, how do you describe grass? And, could you share maybe some of your vision with with the network?
So the biggest problem with AI today is the fact that good data for AI models and, specifically, good knowledge for AI models is very difficult to retrieve. And in order to solve this problem, companies are turning to very unethical methods because before graphs, they didn't really have a better solution. What I mean by that is a lot of companies today, they're hosting a ton of data that might not necessarily belong to them, but they wanna monetize it in some way. So they make access to that knowledge very difficult for AI models that are trying to do useful things. And in order to get around
Amazing. So, I want to actually, yeah, I want to follow this up with a with a great piece I've read recently on Deepen. I don't know if you guys kind of describe grass as as Deepen necessarily, but I think it it fits it it it it it directly describes what what, like, hap was happening at at grass. So this this this, post was from nowhere and and 0xsmack, authors from from compound VC. And in their own words, they describe, quote, unquote, they say, deep in specifically excels when at least one of the following is true. 1, when it's hard for a centralized party to scale infrastructure. 2, when
when you're looking at decentralizing a system, one of the questions that is very obviously the most important question to ask yourself, but ironically ends up being overlooked in many, many cases is, why are you decentralizing the system in the first place? Now when you're achieving a certain level of decentralization, you're creating a distributed system. So regardless of what you're building, you need to include some sort of peer to peer component. And a few months ago, a pretty senior software engineer told me, I don't like peer to peer. I avoid peer to peer because when they hear peer to
you maybe double down on why this is kind of not doable in a in a centralized way? Why you, like, by default, need a dis distributed network, for something like grass to, work in practice?
Well, if you wanna go and scrape billions of rows of data from a small number of websites, you need a pretty big computer to do that. And in most cases, what a company will do if they wanna achieve something like this is they'll host a huge server on AWS and then write a program that'll go and visit those websites and then download all the in
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