1 00:00:03,120 --> 00:00:06,480 Speaker 1: This is Bloomberg Crypto, a daily Bloomberg ihod podcast, and 2 00:00:06,600 --> 00:00:11,000 Speaker 1: I'm Baldana hirech in today for Stacy Marie Ishmael. It's Thursday, 3 00:00:11,240 --> 00:00:28,840 Speaker 1: March second. Most crypto enthusiasts pride themselves on being tech visionaries. 4 00:00:29,400 --> 00:00:32,120 Speaker 1: After all, they were among the first to back innovative 5 00:00:32,120 --> 00:00:36,440 Speaker 1: blockchain technologies and embraced things like web three and NFTs. 6 00:00:37,240 --> 00:00:40,440 Speaker 1: But now there's a new innovation that's captured the public 7 00:00:40,479 --> 00:00:43,040 Speaker 1: imagination and it's getting a ton of buzz in the 8 00:00:43,080 --> 00:00:47,159 Speaker 1: crypto world as well. You guessed it, it's chat GPT. 9 00:00:48,120 --> 00:00:51,160 Speaker 1: Late last year, Open AI's new chatbots parked a conversation 10 00:00:51,280 --> 00:00:55,320 Speaker 1: about the future of artificial intelligence. People on the Internet 11 00:00:55,320 --> 00:00:59,760 Speaker 1: were going crazy about its ability to craft human like responses, 12 00:01:00,160 --> 00:01:04,160 Speaker 1: and even ace an exam from Wharton. Ever since, AI 13 00:01:04,200 --> 00:01:07,640 Speaker 1: linked crypto tokens have been on a rapid rise. At 14 00:01:07,720 --> 00:01:12,320 Speaker 1: one point in early February, tokens from decentralized AI companies 15 00:01:12,520 --> 00:01:17,520 Speaker 1: like Singularity Net and Singularity dial soared over the span 16 00:01:17,640 --> 00:01:22,119 Speaker 1: of just a couple of dates. But as the fervor grows, 17 00:01:22,680 --> 00:01:27,000 Speaker 1: so do the concerns, and some industry insiders are warning 18 00:01:27,040 --> 00:01:32,199 Speaker 1: investors against being too bullish. So what exactly are AI 19 00:01:32,200 --> 00:01:36,520 Speaker 1: tokens and how can they shape the industry? Bloomberg reporter 20 00:01:36,640 --> 00:01:42,560 Speaker 1: Hannah Miller joins us now to discuss Hannah, Welcome to 21 00:01:42,560 --> 00:01:45,120 Speaker 1: the show. Yeah, thank you for having me. I was 22 00:01:45,160 --> 00:01:47,680 Speaker 1: hoping we would just start out with you laying out 23 00:01:47,720 --> 00:01:52,520 Speaker 1: for us what exactly an AI crypto token even is. Well, 24 00:01:52,600 --> 00:01:55,760 Speaker 1: to be frank here, I think we're still figuring out 25 00:01:55,760 --> 00:01:59,000 Speaker 1: what exactly the definition of a crypto AI token is. 26 00:01:59,240 --> 00:02:03,280 Speaker 1: You know, there's a very new space, a very nascent space, 27 00:02:03,480 --> 00:02:06,720 Speaker 1: and I think it's going to be really interesting to 28 00:02:06,760 --> 00:02:10,560 Speaker 1: see how crypto and AI intersect. But right now, the 29 00:02:10,560 --> 00:02:14,480 Speaker 1: way I'm thinking of it is that these crypto AI 30 00:02:14,560 --> 00:02:19,240 Speaker 1: tokens belong to a project that uses both blockchain and 31 00:02:19,400 --> 00:02:24,200 Speaker 1: artificial intelligence in some way. So there's this really cool 32 00:02:24,440 --> 00:02:29,200 Speaker 1: project called the Graph. They've been around for years, but 33 00:02:29,400 --> 00:02:32,919 Speaker 1: we've seen a lot of interest in their token rise 34 00:02:33,240 --> 00:02:37,040 Speaker 1: because they do have this connection to AI. They're looking 35 00:02:37,120 --> 00:02:41,280 Speaker 1: into using artificial intelligence to make it easier to search 36 00:02:41,360 --> 00:02:45,000 Speaker 1: and organize blockchain data. So it's the idea that people 37 00:02:45,000 --> 00:02:49,320 Speaker 1: are taking advantage of this new trend and trying to 38 00:02:49,360 --> 00:02:52,799 Speaker 1: build out tokens or projects around it. Yeah. I mean 39 00:02:52,800 --> 00:02:56,280 Speaker 1: within the tech industry, people are always looking for what 40 00:02:56,480 --> 00:02:59,440 Speaker 1: the next big thing is. So I feel like over 41 00:02:59,480 --> 00:03:02,200 Speaker 1: the past two years or so, it was crypto. Everything 42 00:03:02,240 --> 00:03:06,919 Speaker 1: was about blockchain. You had crypto startups raising money at 43 00:03:07,040 --> 00:03:11,800 Speaker 1: huge valuations, you had the price of bitcoin soaring. All 44 00:03:11,800 --> 00:03:18,440 Speaker 1: of that has changed within the past year, and now 45 00:03:18,560 --> 00:03:20,600 Speaker 1: people are kind of moving on to the next thing. 46 00:03:20,800 --> 00:03:24,280 Speaker 1: So I feel like within crypto, a lot of projects 47 00:03:24,280 --> 00:03:27,120 Speaker 1: are kind of maybe trying to seize upon an association 48 00:03:27,240 --> 00:03:30,520 Speaker 1: with AI in order to stay relevant, and they want 49 00:03:30,520 --> 00:03:33,480 Speaker 1: to use AI and kind of climb on top of 50 00:03:33,520 --> 00:03:37,720 Speaker 1: that hype that is surrounding artificial intelligence and integrate it 51 00:03:37,880 --> 00:03:42,840 Speaker 1: into their own crypto and blockchain projects. And that's really 52 00:03:42,840 --> 00:03:45,720 Speaker 1: what it comes down to. So frequently with a lot 53 00:03:45,760 --> 00:03:48,120 Speaker 1: of things within crypto is just trying to build up 54 00:03:48,520 --> 00:03:51,160 Speaker 1: hyperound different things. I know, I've spent a bunch of 55 00:03:51,200 --> 00:03:55,520 Speaker 1: time on different crypto researcher websites who sort of create 56 00:03:55,600 --> 00:03:58,000 Speaker 1: lists of some of these AI tokens, and I'm just 57 00:03:58,000 --> 00:04:00,440 Speaker 1: looking at all of their prices and I remember in 58 00:04:00,480 --> 00:04:02,760 Speaker 1: early February some of them are up like two hundred 59 00:04:02,960 --> 00:04:06,440 Speaker 1: three hundred percent, So maybe can you tell us about 60 00:04:06,520 --> 00:04:11,000 Speaker 1: how crypto enthusiasts, maybe small time crypto investors have been 61 00:04:11,360 --> 00:04:14,440 Speaker 1: responding to these new tokens. Yeah, so I think they 62 00:04:14,720 --> 00:04:18,960 Speaker 1: kind of see artificial intelligence as a lifeline. You know, 63 00:04:19,200 --> 00:04:22,800 Speaker 1: this is the new fad. Everyone's excited about chat, GBT, 64 00:04:23,520 --> 00:04:27,720 Speaker 1: you know, this is dominating headlines the broader tech industries 65 00:04:27,760 --> 00:04:29,920 Speaker 1: in the middle of a slowdown. It's not just crypto. 66 00:04:30,360 --> 00:04:32,159 Speaker 1: I think with AI, it's kind of seen as sort 67 00:04:32,160 --> 00:04:36,680 Speaker 1: of a revival of interest and investing in tech despite 68 00:04:37,200 --> 00:04:41,520 Speaker 1: you know, market downturns. So with these new projects, I 69 00:04:41,560 --> 00:04:45,320 Speaker 1: think people are looking for opportunities where crypto and AI 70 00:04:45,600 --> 00:04:52,080 Speaker 1: can be used in gaming, cyber security, decentralized finance, you know, 71 00:04:52,200 --> 00:04:56,200 Speaker 1: areas that are hot within crypto but definitely have room 72 00:04:56,240 --> 00:04:59,400 Speaker 1: for improvement, and they're sort of seeing AI as a 73 00:04:59,440 --> 00:05:03,560 Speaker 1: way to do that. I know nothing about how this 74 00:05:03,680 --> 00:05:06,640 Speaker 1: is happening in the gaming world or the metaverse world, 75 00:05:06,880 --> 00:05:09,760 Speaker 1: so anything you can tell us anything colorful about this 76 00:05:09,800 --> 00:05:12,479 Speaker 1: would be very interesting. So yeah, I think with gaming, 77 00:05:12,520 --> 00:05:15,000 Speaker 1: I mean, that's that's always like a fun area that 78 00:05:15,040 --> 00:05:18,400 Speaker 1: I love to talk about. It's been really interesting to 79 00:05:18,400 --> 00:05:23,440 Speaker 1: see sort of this combination of the three biggest buzzwords 80 00:05:23,440 --> 00:05:30,039 Speaker 1: in recent memory, which is Crypto, AI and the Metaverse. 81 00:05:31,279 --> 00:05:34,520 Speaker 1: And you know, I think with a lot of these terms, 82 00:05:34,520 --> 00:05:36,360 Speaker 1: like like I said, we're still trying to figure out 83 00:05:36,400 --> 00:05:41,440 Speaker 1: like what exactly the metaverse is and what actually what 84 00:05:41,560 --> 00:05:44,240 Speaker 1: actually is the definition of this term, because I feel 85 00:05:44,240 --> 00:05:47,160 Speaker 1: like so many different companies and projects have thrown out 86 00:05:47,200 --> 00:05:51,400 Speaker 1: their vone versions of the metaverse. But with using AI, 87 00:05:51,640 --> 00:05:57,720 Speaker 1: the Metaverse, and Crypto, we've seen eight different companies combine 88 00:05:58,080 --> 00:06:01,000 Speaker 1: in these three different areas to form a single entity 89 00:06:01,360 --> 00:06:05,159 Speaker 1: called future Verse. So that happened in December, and I 90 00:06:05,200 --> 00:06:07,000 Speaker 1: thought that was really interesting because it shows, you know, 91 00:06:07,200 --> 00:06:10,000 Speaker 1: they have these high ambitions their combining efforts. Some of 92 00:06:10,040 --> 00:06:12,560 Speaker 1: these projects have been around for a while and you know, 93 00:06:12,600 --> 00:06:17,040 Speaker 1: are teaming up and basically they want to create this 94 00:06:17,120 --> 00:06:20,719 Speaker 1: virtual world that uses both blockchain and artificial intelligence. And 95 00:06:20,760 --> 00:06:22,880 Speaker 1: I think they're still you know, kind of figuring out 96 00:06:22,880 --> 00:06:26,719 Speaker 1: what exactly that means. A different project, So this is 97 00:06:26,760 --> 00:06:32,240 Speaker 1: a pretty big name in cryptogaming, a mutable X. They're 98 00:06:32,240 --> 00:06:37,560 Speaker 1: you know, big in blockchain gaming development. They are actually 99 00:06:37,720 --> 00:06:43,320 Speaker 1: using AI to or looking into using AI to design 100 00:06:43,600 --> 00:06:47,280 Speaker 1: in game graphics, Like they're pulling stuff from you know, 101 00:06:47,440 --> 00:06:50,520 Speaker 1: online from virtual worlds and kind of using that to 102 00:06:50,600 --> 00:06:55,640 Speaker 1: design what the imagery of a virtual world in a 103 00:06:55,680 --> 00:06:59,160 Speaker 1: game would look like. So it's it's pretty cool to see. 104 00:06:59,200 --> 00:07:01,880 Speaker 1: You know, there's already some big, big names hopping on 105 00:07:01,920 --> 00:07:04,800 Speaker 1: the crypto AI bandwagon. So there are a lot of 106 00:07:04,839 --> 00:07:08,920 Speaker 1: people who have high hopes for you know, this intersection 107 00:07:08,920 --> 00:07:12,000 Speaker 1: of crypto AI and think that it's it's more than hype. 108 00:07:12,160 --> 00:07:15,280 Speaker 1: I like what actually our producer put together for us 109 00:07:15,320 --> 00:07:18,640 Speaker 1: for the outline for this episode, she said, crypto is tired, 110 00:07:18,760 --> 00:07:23,680 Speaker 1: AI is wired. I think that encapsulates it maybe best 111 00:07:23,720 --> 00:07:25,720 Speaker 1: in terms of just some of the excitement around this. 112 00:07:26,120 --> 00:07:28,880 Speaker 1: Tell us how people are actually responding to some of 113 00:07:28,880 --> 00:07:33,000 Speaker 1: these projects, or even from like an investor standpoint, what 114 00:07:33,080 --> 00:07:36,040 Speaker 1: are when you're talking to people, are they thinking that 115 00:07:36,080 --> 00:07:39,200 Speaker 1: this is a fad, this is something that's going to 116 00:07:39,280 --> 00:07:42,600 Speaker 1: be very short lived, or does it maybe have more 117 00:07:42,640 --> 00:07:45,880 Speaker 1: sticking power. No. When I talk to people, they're very 118 00:07:45,880 --> 00:07:50,360 Speaker 1: excited about and AI combining. Yeah, and I actually have 119 00:07:50,920 --> 00:07:53,640 Speaker 1: you know, talk to firms they're looking into hiring people 120 00:07:53,720 --> 00:07:56,320 Speaker 1: who you know, have more of a background in AI 121 00:07:56,400 --> 00:07:59,240 Speaker 1: and can sort of bring that expertise even if the 122 00:07:59,240 --> 00:08:02,800 Speaker 1: firm is crypto native to begin with UM. I've also 123 00:08:02,880 --> 00:08:05,400 Speaker 1: just been getting you know, pitches in my own inbox 124 00:08:05,520 --> 00:08:08,520 Speaker 1: on you know, new projects that use AI, and I 125 00:08:09,120 --> 00:08:12,679 Speaker 1: see these these terms come up, you know, like machine 126 00:08:12,760 --> 00:08:15,560 Speaker 1: learning and you oh, they have this model. You know, 127 00:08:15,600 --> 00:08:20,080 Speaker 1: It's it's been very fun to see UM these emails 128 00:08:20,080 --> 00:08:21,720 Speaker 1: come up because some of these projects, I think they're 129 00:08:21,720 --> 00:08:25,720 Speaker 1: they're very new, they're just starting out, and you know, 130 00:08:25,840 --> 00:08:29,200 Speaker 1: it's it's still early days, but there's definitely a lot 131 00:08:29,240 --> 00:08:32,080 Speaker 1: of excitement here. I've been thinking a lot about the 132 00:08:32,120 --> 00:08:35,480 Speaker 1: Portlandia episode where they have the skit where it's like 133 00:08:35,559 --> 00:08:37,440 Speaker 1: put a bird on it and it's just like a 134 00:08:37,480 --> 00:08:40,840 Speaker 1: shop that puts like a little bird. Yes, And I've 135 00:08:40,880 --> 00:08:43,000 Speaker 1: been thinking out about this in terms of like put 136 00:08:43,040 --> 00:08:46,360 Speaker 1: AI on it. You know, people just want to slap 137 00:08:46,400 --> 00:08:48,960 Speaker 1: on an AI label in order to drum up interest 138 00:08:49,080 --> 00:08:52,400 Speaker 1: because it is so hot right now. It definitely people 139 00:08:52,520 --> 00:08:55,160 Speaker 1: I talk to are excited about it and have high 140 00:08:55,160 --> 00:08:59,000 Speaker 1: hopes and see AIS maybe a way to to push 141 00:08:59,040 --> 00:09:02,560 Speaker 1: crypto forward, you know, to move beyond scandals like the 142 00:09:02,640 --> 00:09:06,280 Speaker 1: collapse of FTX, the implosion of three Hours Capital. You know, 143 00:09:06,320 --> 00:09:08,920 Speaker 1: they're seeing AI as a way that can still keep 144 00:09:09,240 --> 00:09:15,160 Speaker 1: crypto relevant and on people's minds despite declining coin prices. Okay, 145 00:09:15,240 --> 00:09:18,920 Speaker 1: what about the AI tokens themselves? I even have asked 146 00:09:18,960 --> 00:09:20,720 Speaker 1: a bunch of people about this. You know, people who 147 00:09:21,000 --> 00:09:24,440 Speaker 1: pay attention to the market very closely, do they have 148 00:09:24,880 --> 00:09:28,120 Speaker 1: warning signs or do they sort of see an AI 149 00:09:28,160 --> 00:09:32,400 Speaker 1: token as an extremely speculative investment, something that can rally 150 00:09:32,480 --> 00:09:35,520 Speaker 1: three over a couple of days and then crash, you know, 151 00:09:35,640 --> 00:09:38,560 Speaker 1: just as much over the next, you know, the following days. 152 00:09:38,679 --> 00:09:41,280 Speaker 1: Is that the sense from investors within the space or 153 00:09:41,280 --> 00:09:44,280 Speaker 1: people who are watching the space that maybe people should 154 00:09:44,320 --> 00:09:47,640 Speaker 1: be very careful about investing in these tokens. Yeah. I 155 00:09:47,679 --> 00:09:50,320 Speaker 1: think the people I speak to you they do pretty 156 00:09:50,320 --> 00:09:53,200 Speaker 1: intense to research. I mean, these eventual capitalists who you know, 157 00:09:53,559 --> 00:09:56,880 Speaker 1: want to make sure that they are making a good bet. 158 00:09:56,960 --> 00:09:59,880 Speaker 1: It's obvious that for just some retail investors, they do 159 00:10:00,200 --> 00:10:03,280 Speaker 1: necessarily do the do their research. You know. One example, 160 00:10:03,920 --> 00:10:07,480 Speaker 1: coin Base has announced the launch of its you know, 161 00:10:07,559 --> 00:10:12,040 Speaker 1: new blockchain, it's new Base blockchain, and you saw prices 162 00:10:12,040 --> 00:10:15,800 Speaker 1: of tokens that were called like Base, even though these 163 00:10:15,840 --> 00:10:19,200 Speaker 1: were tokens that had nothing to do with the coin 164 00:10:19,280 --> 00:10:24,640 Speaker 1: Base blockchain. You saw these prices sore you know on 165 00:10:25,640 --> 00:10:28,640 Speaker 1: this announcement, if you if you did your own research, 166 00:10:29,480 --> 00:10:32,640 Speaker 1: you would figure out that there's no association here between 167 00:10:32,679 --> 00:10:36,080 Speaker 1: these base tokens and what coinbase is doing. So it's 168 00:10:36,120 --> 00:10:38,800 Speaker 1: things like that that you know, the industry is going 169 00:10:38,840 --> 00:10:41,040 Speaker 1: to have to grapple with. The fact of the matter 170 00:10:41,160 --> 00:10:45,720 Speaker 1: is it's like there's still such volatility within crypto. But yeah, 171 00:10:45,760 --> 00:10:47,719 Speaker 1: it's going to be hard to sort of cut through 172 00:10:47,760 --> 00:10:50,680 Speaker 1: the noise when you have all these different projects coming up, 173 00:10:50,720 --> 00:10:52,920 Speaker 1: you know, claiming to use AI and that they have 174 00:10:52,960 --> 00:10:55,400 Speaker 1: this token or that token. Yeah, it would be interesting 175 00:10:55,400 --> 00:10:59,200 Speaker 1: to see what happens up next. More with Bloomberg reporter 176 00:10:59,320 --> 00:11:02,480 Speaker 1: Hannah Miller on how AI tokens are the new buzz 177 00:11:02,600 --> 00:11:13,560 Speaker 1: in crypto. We'll be right back. Well, you and I 178 00:11:13,600 --> 00:11:15,800 Speaker 1: are on the same wave length, because I wanted to 179 00:11:15,840 --> 00:11:19,040 Speaker 1: ask you about the base the stuff that's happening with 180 00:11:19,120 --> 00:11:22,960 Speaker 1: coin base and the base tokens, where it does seem 181 00:11:23,000 --> 00:11:26,520 Speaker 1: like maybe sometimes some of these things pop up because 182 00:11:26,600 --> 00:11:30,840 Speaker 1: people know or inherently understand that you need new people 183 00:11:30,840 --> 00:11:33,560 Speaker 1: and new investors coming into the market. Is that the 184 00:11:33,640 --> 00:11:38,560 Speaker 1: sense is that sort of the right idea behind this? Yeah, no, no, 185 00:11:38,640 --> 00:11:42,959 Speaker 1: I think so, you know, that people want fresh blood 186 00:11:42,960 --> 00:11:45,280 Speaker 1: in the industry. There's still is always going to be 187 00:11:45,320 --> 00:11:48,680 Speaker 1: the battle to get crypto to be more mainstream, to 188 00:11:48,840 --> 00:11:54,040 Speaker 1: onboard you know, your average consumer into the space. And yeah, 189 00:11:54,120 --> 00:11:59,080 Speaker 1: I mean I think maybe some projects, some investors believe like, Okay, well, 190 00:11:59,080 --> 00:12:02,720 Speaker 1: it's good that people are buying up these tokens, even 191 00:12:02,760 --> 00:12:05,320 Speaker 1: if you know, maybe the use case isn't clear or 192 00:12:05,360 --> 00:12:07,840 Speaker 1: maybe they're a little sketchy, because it shows that there's 193 00:12:07,840 --> 00:12:10,360 Speaker 1: still interest in the space. But people still want to 194 00:12:10,400 --> 00:12:14,720 Speaker 1: take advantage of blockchain and you know, want their own 195 00:12:14,760 --> 00:12:16,960 Speaker 1: piece of the pie and believe that you know, the 196 00:12:17,000 --> 00:12:20,120 Speaker 1: prices of these tokens are going to go up. So 197 00:12:20,360 --> 00:12:24,400 Speaker 1: I do think this does help drive bullishness. But again 198 00:12:24,679 --> 00:12:27,960 Speaker 1: there is a cost here. It's like, what if these 199 00:12:27,960 --> 00:12:31,960 Speaker 1: projects turn out to be a rug pull or you know, 200 00:12:32,000 --> 00:12:36,400 Speaker 1: just something really fake and stupid, and you know, then 201 00:12:36,400 --> 00:12:40,120 Speaker 1: you have people left in the lurch. So even though 202 00:12:40,160 --> 00:12:43,200 Speaker 1: there is this rising popularity, you know, there is still 203 00:12:43,240 --> 00:12:45,520 Speaker 1: this threat that people are going to fall victim to 204 00:12:45,600 --> 00:12:49,440 Speaker 1: scams and things like that. And it's also you know, 205 00:12:49,559 --> 00:12:52,640 Speaker 1: going to bring greater regulatory attention. We're still we still 206 00:12:52,679 --> 00:12:57,719 Speaker 1: have a very unclear cryptoregulatory landscape, and you know, these 207 00:12:57,760 --> 00:13:00,440 Speaker 1: kinds of scenarios where people are buying up to oakens 208 00:13:01,120 --> 00:13:04,079 Speaker 1: and then get screwed over. You know, that's just fodder 209 00:13:04,320 --> 00:13:07,679 Speaker 1: for regulators to kind of step in and say, hey, 210 00:13:07,720 --> 00:13:10,760 Speaker 1: this keeps happening in the industry. We've already had all 211 00:13:10,760 --> 00:13:14,080 Speaker 1: this other stuff happen, you know, we need to crack down. 212 00:13:14,360 --> 00:13:18,280 Speaker 1: What about thinking very far ahead, like, you know, not 213 00:13:18,360 --> 00:13:20,920 Speaker 1: the next couple of weeks, but just in terms of 214 00:13:20,960 --> 00:13:23,960 Speaker 1: thinking about the future. What could AI technology do you 215 00:13:24,000 --> 00:13:27,040 Speaker 1: think mean for the future of the crypto industry. Look, 216 00:13:27,080 --> 00:13:31,360 Speaker 1: if they can use artificial intelligence effectively with blockchain, I 217 00:13:31,400 --> 00:13:35,199 Speaker 1: think it would be a big deal. You know, AI 218 00:13:35,240 --> 00:13:38,200 Speaker 1: I think is going to continue to gain traction, you know, 219 00:13:38,280 --> 00:13:41,200 Speaker 1: over the next few years. And whether that'll help bring 220 00:13:41,240 --> 00:13:45,360 Speaker 1: about a renaissance for crypto, you know, I think I 221 00:13:45,360 --> 00:13:49,839 Speaker 1: think that's a distinct possibility. But this is it's still 222 00:13:49,920 --> 00:13:53,640 Speaker 1: very like both these industries are still very niscent. People 223 00:13:53,679 --> 00:13:56,480 Speaker 1: are still figuring out what the best use cases are 224 00:13:56,720 --> 00:14:01,360 Speaker 1: for blockchain. You know, I was talking with a you know, 225 00:14:01,440 --> 00:14:04,000 Speaker 1: crypto executive the other day, you know who was saying 226 00:14:04,080 --> 00:14:07,719 Speaker 1: that the best news case for blockchain clearly isn't going 227 00:14:07,760 --> 00:14:11,600 Speaker 1: to be in finance because of these regulatory hurdles. It's 228 00:14:11,640 --> 00:14:13,559 Speaker 1: going to be in culture. You know, it's going to 229 00:14:13,559 --> 00:14:15,120 Speaker 1: be in game, it's going to be in music, it's 230 00:14:15,160 --> 00:14:16,839 Speaker 1: going to be an art, it's gonna be an NFTs. 231 00:14:17,480 --> 00:14:21,520 Speaker 1: So you know, it's kind of hard to tell again, 232 00:14:21,600 --> 00:14:24,360 Speaker 1: like what the best use case for blockchain is going 233 00:14:24,400 --> 00:14:28,080 Speaker 1: to be. But if AI can help people figure that out, yeah, 234 00:14:28,120 --> 00:14:30,280 Speaker 1: that's that's a huge asset. Do you want to know 235 00:14:30,320 --> 00:14:33,760 Speaker 1: a secret? Yes? I had chat gpt right out all 236 00:14:33,760 --> 00:14:35,200 Speaker 1: of the questions I was going to ask you on 237 00:14:35,200 --> 00:14:41,960 Speaker 1: this podcast. I'm just kidding. You're killing me. Oh my god. 238 00:14:42,200 --> 00:14:44,280 Speaker 1: As long as as long as the chatpod doesn't fall 239 00:14:44,280 --> 00:14:46,880 Speaker 1: in love with you, you're good. Oh my gosh, I 240 00:14:46,920 --> 00:14:48,840 Speaker 1: saw that story. Yeah, I don't. I do not want 241 00:14:48,840 --> 00:14:52,280 Speaker 1: to fall in love with me. Thank you, but thank 242 00:14:52,280 --> 00:14:54,960 Speaker 1: you head us so much for joining us on the 243 00:14:55,000 --> 00:14:58,840 Speaker 1: podcast today. No, thank you for having me. That was 244 00:14:58,880 --> 00:15:01,560 Speaker 1: Bloomberg reporter Hannah Miller. You can find more of her 245 00:15:01,600 --> 00:15:05,479 Speaker 1: reporting on the Bloomberg terminal in a Bloomberg dot com. 246 00:15:05,560 --> 00:15:09,000 Speaker 1: For more, be sure to check out our twice weekly newsletter, 247 00:15:09,280 --> 00:15:18,480 Speaker 1: Bloomberg Crypto. This is Bloomberg Crypto, a daily podcast from 248 00:15:18,520 --> 00:15:22,680 Speaker 1: Bloomberg and iHeartRadio. For more shows from iHeartRadio, visit the 249 00:15:22,720 --> 00:15:27,600 Speaker 1: iHeartRadio app, Apple Podcasts, or wherever you get your podcasts. 250 00:15:27,640 --> 00:15:30,200 Speaker 1: Send us your comments, questions, or suggestions for the show 251 00:15:30,360 --> 00:15:36,560 Speaker 1: to Crypto at Bloomberg dot net. The supervising producer of 252 00:15:36,560 --> 00:15:40,720 Speaker 1: Bloomberg Crypto is Vicky Vergelina. Our senior producer is Janet Babin. 253 00:15:41,320 --> 00:15:44,960 Speaker 1: Our producers are Mohammed Faroup and Sharon Barrero. Our associate 254 00:15:45,000 --> 00:15:48,800 Speaker 1: producers are Ty Butler and Moses on Them. Desta wonder 255 00:15:48,840 --> 00:15:53,720 Speaker 1: Ad is our engineer. Original music by Leo Sidron. I'm 256 00:15:53,760 --> 00:16:04,080 Speaker 1: Stacy Marishmo. We'll be back tomorrow as them About the 257 00:16:04,640 --> 00:16:07,040 Speaker 1: A and the N in the D