Intuition x Exilist Live AMA

I'm really an M&E intuition. I've worked in the Ethereum space since 2014. I also have the blockchain consulting practice at Bernstein. And spend many years in consensus, which is the team behind Metamask and many other amazing products. In one sentence, to me kind of intuition helps you discover things that might be interesting to you or that you believe in. And then you can back them with trust, which is our token. And potentially earn from your judgment and your taste while helping others discover what's good. So let's say you have a favorite artist, or you find an incredible song, or you read a book that you think more people should know about. On intuition, you can put your trust, which is our token behind in that recommendation. So it becomes an economic position. And that's what we mean by by information finance, which is kind of a term we're trying to bring back. It means kind of connecting information and judgment to financial incentives. So that people find they have a reason to find and back the valuable things in their participation in this economic game creates useful data for people and AI. Thank you, Bailey. So at first, the building is an intuition business. We did a business in exchange for the Ethereum site since 2014. And when we started the blockchain, we began to take a look at it together. In addition, it is said that it is a little bit of a competition in the concept of the Meta Mask. If you talk about intuition in one sentence, you find yourself thinking that you have the same confidence and maintain this as a trust token. And the platform that has a chance to get a free of charge through the choreography. For example, if you don't know well about the music or the music or the book, you can add a trust token to the song that you recommend. So, the information about people and the environment that connects the incentive to the competition, is the intuition that says, InfoFile. And the data that you write in the process is also useful to AI, and you can also explain it to other users. Thank you. In addition, the data impure and G-Six-GREP, is a project that has been explained a little bit. Recently, the intuition has been updated for the retail users of the general users. You can actually do whatever you want to do in this flagship app. And then, as you mentioned in the previous video, I would like to ask you a question about the difference between the data and the reviews and the reviews. Yes. So, until now, intuition has mostly been described in terms of its infrastructure, like the protocol and knowledge graph. Now, with the flagship app in invite only, every day, users have a more direct way to experience the network. So, what can users actually do in the app, and what makes the experience different from the review and recommendation platforms, they already use to discover things. Yeah. So, the app that we were building, it kind of brings this discovery and this curation and this economic participation into one experience, that kind of more feels like a web-to-experience rather than a crypto experience. So, you can find things like books and music and movies and podcasts and places and restaurants and whatever it is. They care about, and you can organize the things that you care about into things called stacks. And you can follow people who's tasty trust in these different contexts through circles. And then the key action here is really putting your trust behind something. So, imagine that you discover something like an artist before everyone else, or you finish a book that you think deserves more attention. So, you can recommend it and you can back that recommendation with trust. And if others discover it and back it to your early judgment can earn you money. And this gives people a reason to share their best discoveries. And I think this is the main difference. So, like, your positions that you are creating to potentially earn money, also create a signal that other people can use such as, you know, who backed this, when did they back it, and what other things that they found. And this economics fuels the data. And the data improves the discovery of good things. And so, this connection, we think, is very central to the product that you've built in kind of places in this info-prime category. Thank you, Billy. Yes. In this conversation, I'm going to talk about music, movies, books, and other different content like podcasts. After I found the first one and put trust in the second one, and if you put trust in the next two, you can add a habit that the viewer can participate in it. So, I'm going to make a move on the idea of finding another good content and making the environment move. And the data that I've been writing in the process, also developed a better content. And I hope you can explain it to me. Ah, yes, I got it. I'm sorry to say that. When we see movies, we see that there are a lot of things that are related to movies. But when we see a lot of drama, we see that there is a lot of drama, that is related to the drama, that is related to the drama, that is related to the drama, I think that's the way to make a little more serious data. So, in the end, the flagship app, the consumer app, I wonder what kind of information is popular, whether someone recommended it or not, whether they're trying to sell it to the end of the app, whether they're trying to sell it to the end of the app, whether they're trying to sell it to the end of the app, whether they're trying to sell it to the end of the app, whether they're trying to sell it to the end of the app, whether they're trying to sell it to the end of the app, whether they're trying to sell it to the end of the app, whether they're trying to sell it to the end of the app, whether they're trying to sell it to the end of the app, whether they're trying to sell it to the end of the app, whether they're trying to sell it to the end of the app, whether they're trying to sell it to the end of the app, Intrutions, consumer absence to go beyond just showing what's popular. It also focuses on who's making the recommendations and who's judging in people's trust. And as AI creates more content and algorithms, shape more of what we see. Why do you think this human relationship will become even more important? Yeah. As AI just continues to kind of make content easier to produce, finding stuff becomes less of a challenge than deciding which stuff really deserves your attention. And so we think that makes human judgment and the incentives behind it much more valuable. And the difference is a recommendation on current platforms kind of tell someone that you like something, but putting your trust behind it tells you that that person was kind of willing to take an economic position on that judgment. And you can see who they are, you can see when they back to it, and you can see their history of other recommendations. And there's an incentive to contribute. So if you consistently discover valuable things before other people, you could potentially earn from that ability. So this is kind of how we want to encourage useful human curation at scale, which we think will really be one of the most important things in the future. So people contribute their taste and their knowledge. The economics reward participation. And then the resulting data helps people in AI find better information in this world in which there is just going to be an infinite amount of stuff. And the economic backing is one piece of the signal and becomes more useful when you can understand kind of the person and the track record behind whose performance the actions. So in intuition, who recommended it, when did it come from, and who did it, and what kind of judgment it is. When you do this, you can see that the ability to find better content than others can be a little bit different from the ability to get together, and you can also expect that So I'm going to talk about the data that people and the environment and the environment are looking for information. Of course, I'm not going to be able to make a mistake in one way or another. I'm going to talk about the fact that we can make a mistake and that we can make a mistake. Thank you. In this interview, we're going to have to let the CEO leave the story. I think the CEO is going to let the CEO leave the story. I think the CEO is going to let the CEO leave the story. in the end of the week, you will see what videos and comments have been asked, what is your goal when you play the game. What can you find out about these videos? Let's talk about the fact that I'm working with people in the communities who work for the community in the field and the people in the community that try to achieve So on intuition, users can do more than just share an opinion. They can also back the information or judgments they trust with an economic stake. So we think to app how are a user's recommendations and judgments recorded? And how do this build their reputation or track record over time? And how do you tell the difference between someone who spotted something valuable early? And someone who simply followed what was already popular? The agree question. So I think the important questions to ask in the variables that play are, what did you back it to, what did you back it? And then three kind of what happened afterward? So you know, probably no, gave up fans who spotted a group before everyone else and before it became famous. So on intuition, if you do that, you can put trust behind your conviction. And then you have an on-chain record showing what you did. And so at the protocol level, kind of trust gives it does give you an economic exposure to whatever you're backing. And our bonding here is kind of government how the economics and the deposits and the redemption's work, connecting kind of your participation in this market. And this creates the possibility of earning from an early discovery as others recognize its value and participate. And the outcome kind of depends on the market and its mechanics and being alone, being early on doesn't it doesn't guarantee a profit, nothing guaranteed a profit. But over time, your history makes your judgment much easier to assess and this builds your reputation. Did you repeatedly find things that others valued later? Did you back them before they were already popular? And so what we want is people with good taste and useful knowledge to build both a reputation and an economic stake in their discoveries. Okay, thank you, Billy. Billy was asked this question in a question of K-pop. There are some fans who know the possibility of becoming famous. So in intuition, people can express their interest to trust-talking as a group and say that they are getting a record of their own.