No-hype conversations about crypto and blockchain.


In this episode, Mr. Goose and I talk about all the possibilities of blockchain, ranging from artificial intelligence, gaming, to finance, and even ethics. You'll hear all about what blockchain can be, including our fears and our excitements and why it's about so much more than just cryptocurrency.


This transcription was auto-generated using AI. Inconsistencies and typos will occur.

Calvin: [00:00:00] Hello everybody. This is Calvin, your host of the crypto drift podcast. This is episode three, where Mr. Goose and I talk all about the possibilities of blockchain technology ranging from AI to finance, even to gaming. But before we get into that, let's hear a word from our sponsor.

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[00:00:53] So make sure you check it out.

[00:01:00] So it's obvious. You've done a ton of research into singularity net. We like to refer to elements. Yeah. We like to refer to them as AGI. That's their token name, but in light of doing that research, I think. I have two questions. One is what do you see as the potential of AGI in the next five years in terms of like real use cases in everyday life?

[00:01:25] And then what about the next 20 years after that then?

[00:01:30]Mr. Goose: [00:01:30] Okay. I have a ton. I have a ton to say about this, and I feel like this may go on a rant. So people put on your your hearing AIDS and and listen in. So to start this off and I hope we can, at least, like I said earlier, draw out some new perspectives for you guys here and just how big singularity it can be in the problems that it solves, not only now, but in the future.

[00:01:50]And to start off AGI is not only the ticker, but it's also the utility token for the singularity net ecosystem. And it's what drives the token omics for that ecosystem at the same time. It's the acronym for artificial general intelligence? Artificial general intelligence is basically an unachieved technology as of today, right?

[00:02:10] As it stands right now, artificial agents Aren't very narrow-minded right. They'd take in the code that people give it. And then they eat up data and data feeds and they can interact with that data in that very narrow. Space over time though. And with singularity nets ecosystem, they can begin to develop broader patterns of organization and develop ways to think outside of the narrow confines of which they were developed in.

[00:02:40] So with that being said, I personally believe singularity net has, a massive vertical potential across. Multiple industries that are going to be dependent on AI now or in the future. So like doing research for singularity net, like pretty much every forecast that I read uses, like 20, 30, right?

[00:03:01] The end of the 20, 20 decade as the goalpost for this AI revolution, or the fourth industrial revolution and those same forecasts, most of them. We'll say that, nation States GDP is, could double on efficiency alone or these, a real hype piece of marketing.

[00:03:22]But at the end of the day, like organizations and big tech are gonna eat up a lot of the development, like right now, most of the developments happening in retail and banking and No, actually, I have a funny not a funny story. Good story. I have a friend here, so I'm based in San Francisco. I have a a really good friend.

[00:03:38] He works for capital one. He's a master engineer there, and we were talking as I'm writing the singularity net paper for next week, Wednesday about different stuff that he's working on and he's actually working on AI right now. They're building an AI agent that can take in. Real account data, right from capital one banking and their AI agent will be able to take that data and synthesize it in to something that replicates the real world data to a T, right?

[00:04:10] Because they can't use actual accounting data to, to run tests and stress test different things. So they need to synthesize this data. Once it's fed all of this data and continually fed the agent can then, Create an potentially an infinite amount of data sets in which they can analyze.

[00:04:28] And capital one strategy is to use those AI agents to figure out when, how and why the next financial collapse will be right. Or that's huge. An extra session. Yeah, exactly. Yeah. AI tech is is being developed right now for actual use cases. And something like that is massive, right?

[00:04:50] Like we're going to be able to figure out why people are banking the way that they're banking, why they're making certain transactions. And these AI agents are going to be able to learn from that and create models as to why our financial system or where our financial systems heading, yeah. So I think that's super big.

[00:05:07]Where I think singularity net actually has the opportunity to shine or to capture a massive amount of market cap that people just aren't aware of. Are these, the two major concerns that I see and that I've, researched on are as AI matures around our with markets, they're going to create these very centralized, super hubs right.

[00:05:30] Of wealth. And the super hubs are going to be big tech companies, right? Like Google, Facebook, IBM. Because not only do they have the resources, but they also have the right developers developing AI tech. And so when AI is needed across multiple different industries, or if not all of infrastructure.

[00:05:52] Who are they going to be purchasing products and tooling from it's going to be from these big tech companies who are investing a ton of resources into AI development. So it's going to create this massive extracting our sourcing of value from other sectors within the economy. And I guarantee you, there's going to be a ton of antitrust legislation.

[00:06:12] That's going to come from it. So that's problem. Number one, problem. Number two is. As this is happening. There are countries throughout our, around the world, much like Africa, which is why if you read my newsletter yesterday, that deal with Cardona was absolutely massive in ways that I don't think people are understanding.

[00:06:29] The second problem is that developing countries may get left behind with AI, right? Right now at the ground floor, AI technology coupled with robotics could potentially wipe out, the opportunity for labor workers. And as it stands right now in developing countries like Africa, labor forces is flourishing right now, and it's driving most of the, underlying economy from agriculture to manufacturing, et cetera.

[00:06:52]But at the end of the day, it's going to be cheaper to employ robots for redundant labor jobs, which are going to eliminate people, able to work those jobs. Secondly, governments who want to implement AI, within their infrastructure are going to have to pay these super hubs, these centralized sources of AI technology at an obscene premium, right?

[00:07:14] Like they're going to be able to Mark up their prices immensely, and it's going to cut spending programs for national state policy. So this is where singularity it comes in. Not only one. Can they come out to combat the first. Problem by introducing a globally distributed decentralized marketplace for AI tooling products and also broader technology between the AI on top of the platform.

[00:07:39]Cause now they're gonna allow. Developers that are fragmented or they're not employed by big tech companies to commercially launch their tooling to the world and incentivize them to make money right. With their token Nomics. Yeah. So that's how we, that's how we siphoned value and even data from big tech companies.

[00:07:58] And we're able to distribute that in a more fair fashion that way we're not creating these, centralized hubs of development. And secondly, with Africa, these tooling, because they're decentralized and there isn't a way for things to become privatized or centralized or things like that.

[00:08:20] We'll be able to offer countries like Africa or other developing nations, much cheaper alternatives to AI, tooling and products. So this deal, like I'm saying with car Dano in Africa is massive, right. And singularity net, by the way, has been in Addis Ababa, Ethiopia since 2013 or around that time, they've been with, they've been talking to just like Cardinal nation, state governments.

[00:08:42]So don't be surprised when it, or if tomorrow, if something was singularity, net pops up. Yeah. But things like this are huge especially this education deal, let's take an education, perspective right now. Now you're going to have these students who like the article said are going to have, these are all offered their own, digital format of learning and.

[00:09:03] The way that these, digital format learning tools are run are by machine learning algorithms in which you can personally educate people within Africa, right? There's a ton of different ways for AIG needs to be utilized in emerging economies. And this education deal is going to be huge for that.

[00:09:20] Yeah. So I think that the upward potential singularity is absolutely massive. And the last thing, like the value proposition and question that I want to ask you guys, is this. Do you really want AI technology to be a weapon for nation States around the globe? Do you really want AI development sectioned into big tech, super bubbles, siphoning value from various sectors?

[00:09:44]Just like blockchain is for the people. Singularity net is AI for the people, right? And while AI begins developing, organizations of patterns in a more broader way through, through data, it's going to help the AI. And this is something that I don't think people are realizing it'll help the AI grow biases for people just like humans, grow biases for other people.

[00:10:06]And do we really want the first general intelligence as it makes its transition to be more autonomous, to think the way that big tech thinks, to think the way that nation States think? No, like it's at the end of the day, like big tech and nation States there undoubtedly reflect, fear and.

[00:10:23] They're fear-driven or they're predatory, and competition and ways like this, like that's not what we want as the foundation of the transition from AI to general AI. Yeah. So do we want to help foster a platform? That's going to be able to allow the masses to develop AI in a more borderless way, a more inclusive way.

[00:10:44]Cause at the end of the day, like the reality is AGI is inevitable, right? General intelligence is inevitable. It's going to happen. So therefore, so is the singularity. And I know that scares a lot of people so why. Why not invest or be behind something, that's going to be able to give us the best chance towards a singularity that as benevolent or non indifferent to the human species as possible.

[00:11:09]Cause it's not about refuting its existence anymore. It's about choosing the right horse to secure that most beneficial artificially intelligent future.

[00:11:19] Calvin: [00:11:19] Yeah. Yeah. And I've, I feel like people don't This idea of decentralized AI really like hits home for me when you consider the fact that because it's decentralized because it's open source.

[00:11:33] I literally can harness AI in my everyday life, like for me. And when it's silent in these giant corporations, let's just take, let's take Siri for instance. I don't get to utilize Siri outside of her context or outside of her boxes. And this idea of a decentralized AI, I literally can go.

[00:11:53]I can I can contract out work to these AI agents on the singularity net infrastructure and create my own tools. And it's completely accessible to anybody. And I think that's The difference is like when AI is built on these huge corporations, that's a black box and you're more, just a benefit, a benefactor of functionality that somebody else made, but you don't necessarily get to control it.

[00:12:18] Let I think that's huge.

[00:12:19] Mr. Goose: [00:12:19] Yeah, exactly. And I think it will eliminate this, a big, and even if we just get back into finance, like a big. Underpinning of financial wealth gap is this new paradigm of exit strategies for startups, right? Like valuations for these startups are absolutely, overinflated.

[00:12:38]When, big tech companies like Facebook or Google acquire smaller startups for massive valuation and. The majority of that, or at least some percentage of that goes to the founders. That's what creates a wealth gap, especially when there's hundreds of startups being acquired.

[00:12:54]And when we have an exit strategy like that's going to, it depend that same AI development, right? Say you have a Harvard graduate or an MIT graduate. Who's writing his pay or who's doing a project for his graduation. And he creates this novel algorithm for AI and. Instead of launching it on on something like singularity net, which he will be monetarily incentivized to do, because he can make money from it.

[00:13:20] He instead goes for the exit strategy and has Google acquire his tooling for a massive evaluation or evaluation. So there's the economic perspective that it could also solve as well. But I think that's also something that other people don't realize. Yeah.

[00:13:34] Calvin: [00:13:34] Yeah. It's huge. Okay, so I'm going to go on to the next question.

[00:13:38]In terms of decentralized finance, what's an area in blockchain that you don't think has even been considered yet? What's something that blockchain could do for defy that we haven't necessarily seen the fruit the outworking of yet.

[00:13:54] Mr. Goose: [00:13:54] I'd say. I, I, again, now that I'm on this, like AI rant, I want to say something like AI, like blockchain has not fully developed, realized, or come to terms with how revolutionary AI can be, especially with the backdrop of what's with blockchain.

[00:14:10]But I'll try my best and not go that route. I'm going to say insurance. I think insurance is.

[00:14:17] Calvin: [00:14:17] I was hoping you could talk about that.

[00:14:19] Mr. Goose: [00:14:19] I was going to say insurance. I think it's the final frontier of DFI and the final technology that will solidify and validate the way that blockchain can serve as a cheaper, alternative, or more inclusive, alternative to financial investment.

[00:14:35]Are you financial services? Not just investments in particular, but. I think right now, like there's just not, there really isn't any, noteworthy insurance projects, mostly because it's going to be very hard to figure out how that system will work. I think there's a couple on if there are some, there's a couple of starting up, but like for instance, th the United States.

[00:14:58] Insurance economy is massive. I think this past year premiums alone was like AR or like net premium payments were like one and a half trillion dollars, so the economy there is massive and by providing something that's more inclusive to people I think would be like the nail in the coffin for the emergence of defy.

[00:15:21]And when people start like developing something like this, And stress testing, different strategies and also like the way to make it more inclusive is allow people to make their own insurance products, right? Like exactly. Maybe you want to make, maybe you want to make a package of insurance for auto loans, and then you can set your own, you can set your own risk premium and stuff like that. You have an Oracle that can feed you data feeds, or they can feed you data from whatever data that you need to, figure out if like claims are verified and stuff like that's going to be huge.

[00:15:53]Like people then will have vehicles in which they did not have access to in traditional legacy markets in defy markets. So I think insurance is going to be, is going to be, like I said, one of the last things that happens, but also one of the biggest yeah.

[00:16:10] Yeah. And also because all the data lives on the blockchain.

[00:16:13]Verification happens almost instantaneously where it's like current insurance. You have to go through this entire process of verifying a claim. I think there's a lot of benefit in there that hasn't necessarily been

[00:16:24] right. Yeah. And especially like, when we talk about verifying a claim, like people that create this, more autonomous way of providing insurance, your overheads, obviously a lot less, because then the people who need to go verify claims.

[00:16:40] Those are your Oracles, you don't have, you don't have somebody who's, he's getting in his car, he's driving to the salvage shop to go make sure if that car got totaled, you just have the guy from the salvage shop, put the data into, whatever end point that the Oracle's pointing to.

[00:16:55] And then the Oracle would be like, Oh yeah, yep. The guy says it's the guy says it's totaled. There's your claim verification. So that, that minimizes overhead on a pretty massive scale.

[00:17:04] Yeah, it's huge. All right. Last question for you. And this one, I want you to try and go outside of the finance industry, and I'm going to put a caveat here, even the AI industry.

[00:17:16] So what is the single most exciting? Yeah. So what is the most exciting industry for blockchain yet to be? I'm not going to say discovered. I'm going to say actualized. So what's the most exciting in your opinion, there's

[00:17:30] two. No there's one. The second, the close second would be real estate. I think the introduction of real estate in a tokenized way on a blockchain is fascinating and insane.

[00:17:41] I think the Mo more interesting is video games. I think the day that we can implement blockchains in a format that fits. Unnoticeable to the end user in a video game and is seamless for the end user in a video game is going to be a massive step forward for the industry and the entertainment industry.

[00:18:13]With that being said, and I honestly, I don't have much more to expand on that because I feel like there's a lot of things that I'm missing in terms of my understanding of tokenization in terms of blockchain development and stuff like that. So with that being said, I want to turn it to you.

[00:18:26] Like I remember the first time we talked, we were going on for an hour. And, you mentioned your grand vision, for blockchain was represented pretty well with the movie. Was it a ready player? One, right? Where, you had all these video game characters or these virtual characters in a world where.

[00:18:48] It simulated real life, but it, with a video game backdrop, can you like expound on why you think that's, the next step that's exciting to you?

[00:18:58] Calvin: [00:18:58] Yeah it's interesting cause I, 100% agree. I think video games is it's like the Holy grail of blockchain that hasn't really been able to be tapped yet.

[00:19:08] And a lot of that has to do with scalability issues, right? So nobody's going to want to play a game where they have to pay. $200 in transaction fees every time they accomplish a goal. So there's definitely a race here and opportunity, I think for video games and blockchain to it's like the next frontier almost, but let me so let me go back to ready player one.

[00:19:27] So I, this towards the beginning of my blockchain journey and trying to. Just understand like the inner workings and what it is. And I'm typically I'm very much an idea guy. So if I see a new way of doing things, my mind immediately goes into, what are ways we can capitalize on that and ready player one, in my opinion I actually saw it right after starting to get to blockchain.

[00:19:52] And I swear, man, it was like watching the future. It was so weird and I promise you ready player one is going to be like real life in 20 years. Hopefully we'll a hundred percent agree with you. Yeah. And hopefully less than that, but it takes into account all these other things on blockchain, like AI and like tokenization ownership of data transfer of data.

[00:20:13]All that type of stuff, but let's go, let's just, an example to paint the picture here for anybody who hasn't seen ready player one, there's this huge virtual world that anybody can enter into with what they call an avatar. It'd be similar to if you were to log into.

[00:20:29] On account Fortnite, you log in, you have your account and you have an avatar on you. You go play. But in this world, you actually own everything that, that avatar owns. And really the avatar is more just like a visual expression of your wallet. So that's part of it. Okay. And then, and ready player one.

[00:20:47] There's this metaverse of just like almost an infinite world. Of games and you can traverse this world and go through it and, enter into different games. And there's like goals within these games where a user can, accomplish a set of challenges and they receive a reward in response.

[00:21:09] And there's already games like this actually that exist on Ethereum. I actually got super into playing. Oh my gosh. I can't remember the name.

[00:21:19] Mr. Goose: [00:21:19] But I have no idea about these I'm

[00:21:22] Calvin: [00:21:22] going to, I'm going to, I'm going to find it and I'm going to put it in the show notes because this game lives on Ethereum and it was made by an indie developer, just somebody who knows how to do a game or knows how to do game development.

[00:21:33]Another one actually that's coming out. I think it's in beta is called age of rust. And it's like a puzzle game with high definition graphics. Another one is decentral land where you can enter basically like this virtual world. It has plots of land that you can buy, which are essentially stored inside your wallet.

[00:21:50]And if you own that wallet now you own the private key is to, make changes to that plot of land.

[00:21:56] Mr. Goose: [00:21:56] Yeah. Interesting. This reminds me, I know, I don't know if there's anime fans out there but it reminds me of this show sword art online, I think, which I think is pretty in parallel with ready player one.

[00:22:07]This on super interesting.

[00:22:09] Calvin: [00:22:09] Yeah. These kinds of already exists on a theorem, but what really clicked for me when watching ready player one is so you have a user you get into the metaverse and the goal is to amass, a collection, and you can probably think of the entire game as mostly just a UI.

[00:22:29] That interacts with the blockchain. So if you think of like websites they're just a UI that interacts with a server. If you go to the crypto and you look at a post, it's literally just a presentation of data that lives on our server, right? The same thing can be thought of in ready player.

[00:22:46] One, when you go into the metaverse it's a presentation of data that lives on the blockchain and, anybody can create a universe within this. This, fictional world. I can go in and I can be like, Oh I'm going to start, let's just say I call a duty like war zone game inside this metaphors.

[00:23:05] Okay. So I'm going to, I'm going to come up with the graphics. I'm going to come up with all of the user interaction, but that's going to interface through an API with the blockchain and. So in ready player one, they performed these challenges. If somebody loses the challenge, whether that be, and they'll call it duty sense, it would be like, you get shot and you'd have to respond.

[00:23:26]But in ready player one, there's actually like high cost to this where if the user goes in and they lose the game, they lose all of the assets within their wallet or their avatar. And they have to start over from zero. So there's actual risk involved. There's also actual incentive in that case to invest or put effort into finding assets within the game that ensure your survivability.

[00:23:52]So now you'll have this entire economy built around surviving in the game. Yeah.

[00:23:57] Mr. Goose: [00:23:57] Yeah. I feel like this is just like everything like blockchain. I feel as an industry, there's so many different paths within blockchain, right? As blockchain as a whole and all the paths within is developing forward at the same time technology in the legacy world are outside of the crypto sphere, is developing forward in ways that are also just as revolutionary, like for instance, our augmented reality. And I feel the emergence of blockchain tech to be able to compliment augmented reality, AR augmented reality is going to converge in a way that exactly like we're talking about right now, like a ready player, one environment, right?

[00:24:35] Like where things are fully immersive, fully incentivized, and there are going to be the actual risks, I think that's going to be so crazy. Like I, I keep saying this, the. Next 10 years are going to look nothing like the last 30. And I do not think people are awake to this or even understand what I mean, because I don't even know what I mean.

[00:24:58] Calvin: [00:24:58] Yeah, no, you're a hundred percent, right? Like when we talk about, when we talk about blockchain, the ideal solution is a global database, that our infrastructure interfaces with. And we have that to some degree with the internet. And and just look at what the internet did to society.

[00:25:15] It completely digitized information and made it treat cheap to transfer. What blockchain does, is it digitizes ownership? And all of a sudden you have like basically the entire world replicated in a digital environment. That is insanely cheap to transfer value in, but the interface in which you transfer that value is completely up to creative expression.

[00:25:40] And that's what gets me super excited about blockchain. And that's what ready player one is. It's a creative expression of what blockchain can be.

[00:25:48] Mr. Goose: [00:25:48] Interesting. I like that. So with that being said there are all these like positive, outcomes that we're talking about or these things that we're excited about.

[00:25:57]I want to know, like what are things that, from a development perspective, right? Since, you understand like how things will be built right behind the scene and how data is represented, how people will be represented and how transactions can take place. What's your greatest fear, within the current blockchain revolution.

[00:26:18] Yeah.

[00:26:18] Calvin: [00:26:18] It's kinda interesting, cause I think that. I have two answers to this as well. They're related, so I'm just going to go with it. But one is privacy in a blockchain system, all data is retrievable. And so there has to be some sort of privacy layer that obscures that data.

[00:26:35]And there's a lot of, there's a lot of solutions out there working to solve this problem. But at the end of the day, it's going to have to be Integrated into the protocol of whatever blockchain is running or you're going to have like gaps, like you can't have partial privacy security, right?

[00:26:51]There's a lot of things inside of blockchain that, and I haven't like super researched privacy blockchains yet. There's some that stand just on their own there's others. That operate like side chains that kind of allow you to, go off the main highway and get scrambled.

[00:27:06] In a way. But what I would really like to see is some protocol level safe guards inside of a blockchain that protect user's privacy, but you also have to be able to like interact with, especially in a blockchain that that the whole like infrastructure, our whole society runs off of, you have to be able to access private data.

[00:27:26] And I think our Dano has a lot of potential here with there. KYC or their metadata capabilities with their transactions to actually opt in and allow that to be read by trusted parties. So that's one. How do you protect privacy? The other one is in a world that's completely decentralized.

[00:27:44] What are the safeguards to prevent it from becoming almost anarchical if there's no. And this this branch is more into like society, right? Do we want a society without a leader? Like that type of stuff. And I haven't seen a convincing explanation or philosophical argument as to what are the safeguards in a blockchain environment where nobody's the leader?

[00:28:09] What happens when you have edge case scenarios that don't fall into the protocols, like who comes in and saves the day? And some people might, have an opinion. I know a lot of people do that. Nobody should come in and save the day, but that's just life. But I, like at the end of the day, like nation States, they are Groups of people who come together for their insured, like collective survival.

[00:28:37] So how do you do that? How do you translate that safety into a blockchain and, furthermore in a blockchain, like it's immutable data. So what do you do? What are the safeguards, if something damaging to society ends up on the blockchain. How do you protect people from that?

[00:28:53] And those are the questions that I don't think have really been answered yet.

[00:28:56] Mr. Goose: [00:28:56] So do you think like the emergence of blockchain has has a ceiling or like a limit in which, it can operate in the efficient manner that it aims to operate in without, extracting the trust or, whatever varying degree of trust that people have for their nation of government, et cetera.

[00:29:15] And we operate within that ceiling or that box. Would that be like the most efficient way of which, this blockchain revolution takes place? Do we not go to the point where we, separate ourselves from centralized figures like governments or do, or maybe we for ourselves, right?

[00:29:34] Like maybe, people take there are a certain group of people who want a more multinational or. I'd say borderless, environment in which they want to exist in. And then there are the people who want to exist in a more we need to have somebody in which that the masses trust in, as I said, a very degree of trust,

[00:29:57] Calvin: [00:29:57] right?

[00:29:58] Yeah. I think that my interest bring, yeah it's so far in the feature, that's kinda, it's anybody's guess, what will happen. Cause I think, yeah. Whether. No matter what you think about blockchain. I think it's pretty indisputable that is a catalyst of change and it's going to it seriously challenging the norms and infrastructures that we've built society on top of.

[00:30:21] And even looking back at previous revolutions, it's like, They weren't really smooth rides. And I think that is where some of my fear comes in. It's yeah, not at all in this direction, is it gonna, is it gonna get messy? And I really hope it doesn't cause blockchain, As a technology is all about everyone's

[00:30:39] Mr. Goose: [00:30:39] prosperity, right?

[00:30:40] Yeah. 100%. And this kind of piggybacks off of my point earlier, I made about like blockchain, revolutionizing and it's in its own field. Whereas the, in the traditional world, a bunch of different technologies are also revolutionizing at the same rate. And then this goes back into, my.

[00:30:59] My love for artificial intelligence and my further continuation too, to dive in and research and understand how that world takes place. But like you said, like the transition periods are not going to be smooth, just like in blockchain. And just like in artificial intelligence, like for artificial intelligence, there has to be like, there are going to be so many different changes that happen.

[00:31:21] Like when we have. Not only an artificial intelligence that can think in broader ways, that can develop patterns of thought in an organized fashion and think about things the way that humans think about. And then there's that equilibrium of, power in terms of conscious thought.

[00:31:40] And then you're talking about, and then when that happens because AI can calculate data on orders of magnitude that we can't even comprehend. And so when we. Finally figure out artificial general intelligence, they'll be able to take in the same amount of data that we can take in, but they can analyze it and infinitely amounts faster and more efficient than we can therefore decreasing the amount of time that we reached the singularity.

[00:32:07] And I think that's also something that really like even the pioneers in our space, like Ben Gursel Can't really comprehend what that's gonna look like. And how people are going to react to it. Cause it's so out of the realm of what we've been used to for the past century, for the past millennia, right?

[00:32:23] Like blockchain and AI both have equal opportunities to, to disrupt things that never thought was going to be disrupted. And for AI specifically, like even the way that you think is going to be disrupted, like your understanding of. Your conscious thought is going to be thought of differently when we do reach, artificial general tone.

[00:32:45]So those are things to think about, as we transition into new periods of history. And I think it's just super, super exciting to be in this space, along with other like-minded people who realized the potential. For these technologies and the things that will change because of these technologies and we get to be at the forefront of that.

[00:33:07]Yeah. So it's an amazing area. Yeah. I'm very excited for the future and what it holds for everybody in this space.

[00:33:15] Calvin: [00:33:15] Yeah. I definitely agree. And I've said this before, too, that blockchain isn't really gonna. It's not really going to explode until the average user's interaction with it has nothing to do with cryptocurrency.

[00:33:28] I think, like w we literally, I w I would bet that we saw history with Dano and Ethiopia, because now we have an actual situation where students interact with the blockchain, just to do their schoolwork. And that's that's huge. That's people you're going to get into crypto. Without even knowing it at that point

[00:33:49] Mr. Goose: [00:33:49] and yeah, it's that seamless end user experience where they don't know that they're interacting with something that's going to be the change or the catalyst for mass adoption, 100% agree.

[00:34:02] Calvin: [00:34:02] Yep. So it's super exciting times. I think that's about it though. You got anything else? Yeah.

[00:34:06] Mr. Goose: [00:34:06] Yeah. I got, I put a lot out there, like a lot of things that I've been dwelling on that I've been thinking about. And I'm super glad I got to let the people let our followers know, like what's been going on inside of my head.

[00:34:18] Calvin: [00:34:18] Yeah.

[00:34:19] Mr. Goose: [00:34:19] So I love this conversation.

[00:34:22] Calvin: [00:34:22] Yeah. I know we could almost do it like a part two of this conversation. Yeah. The one thing I'm super interested in as w we're talking about a singularity net, like AI disruption, blockchain disruption, but there's this Almost hidden volcano underneath all of it called quantum computing.

[00:34:40] How much that's this episode? It could be like its own thing just by exactly. Exactly.

[00:34:51] That wraps up episode, number three of the crypto drip. We want to thank you for listening in. You can find myself on Twitter at cryptos, Calvin, and you can find Mr. News at goose of crypto as always, you can find our official accounts at the crypto trip. Make sure to sign up and become a member for [email protected] slash join.

[00:35:15] You can also pay $10 a month to get premium content delivered by both Mr goose and myself delivered five days a week on current events, macro trends, micro trends, and the broader crypto industry until next time. Thanks for listening.

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