1 00:00:11,039 --> 00:00:15,560 Speaker 1: Hello, and welcome to another episode of the Odd Lots Podcast. 2 00:00:16,360 --> 00:00:20,800 Speaker 1: And I'm Tracy alliwit So, Tracy, you know one way 3 00:00:20,840 --> 00:00:25,360 Speaker 1: that this year, actually this month in particular, is very 4 00:00:25,400 --> 00:00:28,880 Speaker 1: different than this same month last year. Wait, it's the 5 00:00:29,000 --> 00:00:35,160 Speaker 1: month of November. So November versus October. No, no, no no, no, 6 00:00:35,159 --> 00:00:44,440 Speaker 1: November versus November. I know it has to be bitcoin, surely, right, 7 00:00:44,520 --> 00:00:47,960 Speaker 1: everyone was obsessed with bitcoin late last year. Yeah, November 8 00:00:48,280 --> 00:00:51,919 Speaker 1: last year was when I think this sort of like 9 00:00:52,320 --> 00:00:55,240 Speaker 1: mania that was already at place for several months really 10 00:00:55,280 --> 00:01:00,680 Speaker 1: turned into an incredible just absolute euphoria, particular early around 11 00:01:00,720 --> 00:01:04,280 Speaker 1: Thanksgiving time. But at this time last year already I 12 00:01:04,280 --> 00:01:07,520 Speaker 1: think basically all anyone was talking about was bitcoined and 13 00:01:07,560 --> 00:01:11,360 Speaker 1: other cryptocurrencies, right, And I think we reached the record 14 00:01:11,480 --> 00:01:16,280 Speaker 1: for bitcoin eighteen thousand dollars or something was that in December? Yes, 15 00:01:16,560 --> 00:01:19,520 Speaker 1: I think middle of December. Now know one cares, right, 16 00:01:19,520 --> 00:01:23,399 Speaker 1: pretty much, nobody cares. Nothing is happening. It appears the 17 00:01:23,480 --> 00:01:26,600 Speaker 1: prices don't swing around like they used to. All the 18 00:01:27,040 --> 00:01:31,600 Speaker 1: speculators have probably moved on to marijuana stocks. And it's 19 00:01:31,640 --> 00:01:35,679 Speaker 1: just it couldn't feel more different. The overall environment surrounding 20 00:01:35,959 --> 00:01:39,720 Speaker 1: cryptocurrencies and all that than it did exactly a year ago, right, 21 00:01:40,040 --> 00:01:42,600 Speaker 1: And I don't know how many of our listeners ever 22 00:01:42,920 --> 00:01:47,480 Speaker 1: went to industry conferences where people would talk about bitcoin. Um. 23 00:01:47,560 --> 00:01:50,800 Speaker 1: But the trope, the cliche that you always heard there 24 00:01:50,960 --> 00:01:53,320 Speaker 1: was oh, I don't believe in bitcoin, but I do 25 00:01:53,400 --> 00:01:57,000 Speaker 1: believe in the underlying technology blockchain. Yes, people are still 26 00:01:57,000 --> 00:02:00,000 Speaker 1: saying that. Yes, people still say that, and they might 27 00:02:00,120 --> 00:02:04,000 Speaker 1: even be more confident in their assertions today because of 28 00:02:04,040 --> 00:02:07,840 Speaker 1: the sort of diminished cryptocurrency bubble and like, oh there's 29 00:02:07,840 --> 00:02:11,000 Speaker 1: still something here. We're sure of it. We don't really 30 00:02:11,000 --> 00:02:12,880 Speaker 1: know exactly how it's gonna work it, but we know 31 00:02:12,960 --> 00:02:15,160 Speaker 1: that the underlying technology is going to have all these 32 00:02:15,200 --> 00:02:21,079 Speaker 1: great applications like tracking shipping or tracking tomatoes or verifying 33 00:02:21,200 --> 00:02:27,359 Speaker 1: the provenance of pharmaceuticals or diamonds. And so people continue 34 00:02:27,480 --> 00:02:32,840 Speaker 1: to search for that problem that the technology could theoretically 35 00:02:32,960 --> 00:02:37,320 Speaker 1: be helpful in addressing. Yeah, my favorite project that I 36 00:02:37,440 --> 00:02:42,440 Speaker 1: heard most recently was Walmart putting Lettuce on the blockchain 37 00:02:42,720 --> 00:02:46,640 Speaker 1: in order to track like quality control exactly. But the 38 00:02:46,720 --> 00:02:51,960 Speaker 1: question is, do you really need a blockchain to track lettuce? 39 00:02:52,480 --> 00:02:55,040 Speaker 1: And I've always been kind of skeptical that, or track 40 00:02:55,120 --> 00:02:59,320 Speaker 1: tomatoes or ships or anything like that, or is this 41 00:02:59,440 --> 00:03:01,880 Speaker 1: really just a great buzzword where if you're sort of 42 00:03:01,919 --> 00:03:05,800 Speaker 1: like a senior level executive somewhere and you mentioned conferences 43 00:03:06,080 --> 00:03:07,560 Speaker 1: and you want to be at a conference and you 44 00:03:07,560 --> 00:03:09,720 Speaker 1: want to sound smart on a panel, you want to 45 00:03:09,760 --> 00:03:13,040 Speaker 1: have something going uh to say, oh, yes, of course, 46 00:03:13,080 --> 00:03:17,840 Speaker 1: we're actively working to incorporate blockchain. This is a pretty 47 00:03:17,880 --> 00:03:20,520 Speaker 1: open debate because first, much talk about all the people 48 00:03:20,560 --> 00:03:24,200 Speaker 1: saying blockchain not bitcoin, there doesn't seem to be many 49 00:03:24,320 --> 00:03:28,800 Speaker 1: actual practical examples yet in the field where someone is 50 00:03:28,840 --> 00:03:33,040 Speaker 1: clearly demonstrating the value of the technology now, and a 51 00:03:33,040 --> 00:03:36,000 Speaker 1: lot of the projects that we did hear about have 52 00:03:36,080 --> 00:03:39,040 Speaker 1: been quietly shelved or at least there hasn't been a 53 00:03:39,040 --> 00:03:42,120 Speaker 1: lot of tangible progress on them, or progress that we 54 00:03:42,200 --> 00:03:44,520 Speaker 1: are able to see exactly right. So then the question 55 00:03:44,560 --> 00:03:47,520 Speaker 1: is why haven't we seen more progress and why haven't 56 00:03:47,640 --> 00:03:51,800 Speaker 1: we uh seen some sort of tangible uh connection between 57 00:03:51,880 --> 00:03:55,360 Speaker 1: what people talk about a conferences to how businesses actually operate. 58 00:03:55,480 --> 00:03:59,400 Speaker 1: And today's guest will hopefully shed some light on this 59 00:04:00,040 --> 00:04:03,400 Speaker 1: question on the Odd Lots podcast this week, we have 60 00:04:03,640 --> 00:04:07,760 Speaker 1: angers championed Krepni. He used to be a blockchain leader 61 00:04:07,960 --> 00:04:12,040 Speaker 1: at e Y and help companies learn about blockchain technology. 62 00:04:12,200 --> 00:04:15,760 Speaker 1: Now he is off doing independent stuff in the crypto world, 63 00:04:15,840 --> 00:04:19,000 Speaker 1: and he has a lot of thoughts on blockchain and 64 00:04:19,040 --> 00:04:23,600 Speaker 1: how it might or might not be of benefit two companies, 65 00:04:23,600 --> 00:04:26,839 Speaker 1: and so he has experience and looking forward to getting 66 00:04:26,920 --> 00:04:29,680 Speaker 1: his perspective Angus, thank you very much for joining us. 67 00:04:29,800 --> 00:04:31,640 Speaker 1: Thank you very much for having me. So how many 68 00:04:31,680 --> 00:04:35,640 Speaker 1: conferences have you been at where someone said blockchain is 69 00:04:35,680 --> 00:04:40,239 Speaker 1: the interesting thing, not bitcoin? I I could not possibly count. 70 00:04:40,480 --> 00:04:43,200 Speaker 1: And the it's funny when you mentioned November last year, 71 00:04:43,279 --> 00:04:46,919 Speaker 1: there was a glorious two week period where what I 72 00:04:46,960 --> 00:04:49,920 Speaker 1: did was cool. Prior to that, no one had any 73 00:04:49,920 --> 00:04:52,760 Speaker 1: idea what bitcoin was. After that, people very quickly found 74 00:04:52,760 --> 00:04:54,520 Speaker 1: someone else to talk to because that was sick of 75 00:04:54,560 --> 00:04:58,320 Speaker 1: hearing about it. But it's it's been it's been a 76 00:04:58,400 --> 00:05:00,440 Speaker 1: number of years, and I've got to admit I was 77 00:05:00,880 --> 00:05:04,360 Speaker 1: at one point a blockchain not bitcoin person. But as 78 00:05:04,400 --> 00:05:06,680 Speaker 1: you sort of alluded to, when you strip away all 79 00:05:06,720 --> 00:05:10,120 Speaker 1: of the hype, how does this technology actually help? And 80 00:05:10,760 --> 00:05:14,200 Speaker 1: I've founded my my work it generally doesn't. So this 81 00:05:14,240 --> 00:05:16,120 Speaker 1: is pretty big because, as you said, you used to 82 00:05:16,160 --> 00:05:20,440 Speaker 1: be a blockchain not bitcoin person. You should talk to companies, 83 00:05:20,520 --> 00:05:25,239 Speaker 1: work with them about the idea of incorporating blockchain into 84 00:05:25,440 --> 00:05:29,520 Speaker 1: their business practices. And now you say it generally doesn't. 85 00:05:29,600 --> 00:05:32,159 Speaker 1: So walk us through this stepsode. What do companies think 86 00:05:32,279 --> 00:05:35,880 Speaker 1: is going to happen when they sort of you draw 87 00:05:36,080 --> 00:05:39,760 Speaker 1: some blockchain related technology into their business, and then what 88 00:05:39,839 --> 00:05:43,840 Speaker 1: actually happens when they try. Generally, the story is that 89 00:05:43,960 --> 00:05:47,680 Speaker 1: we've got we've got a number of entities that we 90 00:05:47,800 --> 00:05:52,960 Speaker 1: want to all coordinate our data together, and blockchains help coordinate, 91 00:05:53,760 --> 00:05:58,360 Speaker 1: coordinate data, coordinate people or entities without there being some 92 00:05:58,400 --> 00:06:02,479 Speaker 1: sort of central party. What generally happens, though, to get 93 00:06:02,520 --> 00:06:06,840 Speaker 1: to that stage, you need to form some sort of consortium, 94 00:06:06,960 --> 00:06:10,400 Speaker 1: some group of players together. You need to define some 95 00:06:10,440 --> 00:06:14,760 Speaker 1: sort of standards, you need to you need to work 96 00:06:14,760 --> 00:06:20,400 Speaker 1: out how you how you perform governance going on, and generally, 97 00:06:20,480 --> 00:06:24,719 Speaker 1: when you're doing that, you form some central body to 98 00:06:24,839 --> 00:06:28,200 Speaker 1: do all of that and um. And the thing is, 99 00:06:28,240 --> 00:06:31,520 Speaker 1: by when once you've formed that central body, you've done 100 00:06:31,560 --> 00:06:37,000 Speaker 1: all the complex coordination that's required generally in the enterprise space. 101 00:06:37,440 --> 00:06:42,200 Speaker 1: Technology addressing these problems is not the It's not the 102 00:06:42,240 --> 00:06:46,359 Speaker 1: issue it's just getting really hundreds of different stakeholders on board. 103 00:06:46,400 --> 00:06:49,440 Speaker 1: Because if you're just dealing with one entity, you know, 104 00:06:50,320 --> 00:06:54,159 Speaker 1: one large bank, you're dealing with technology compliant operation to 105 00:06:54,160 --> 00:06:56,320 Speaker 1: the front office, there are a lot of stakeholders just 106 00:06:56,400 --> 00:06:59,919 Speaker 1: in that. So when you want to build a blockchain 107 00:07:00,040 --> 00:07:03,520 Speaker 1: across all of these various entities, the tough bit is 108 00:07:03,520 --> 00:07:07,440 Speaker 1: getting all of those different parties together. Once you've done that, 109 00:07:07,520 --> 00:07:11,920 Speaker 1: once you've addressed that, this is pretty inefficient technology to 110 00:07:11,960 --> 00:07:16,520 Speaker 1: actually use to implement the solution. Right, So the sales 111 00:07:16,560 --> 00:07:22,120 Speaker 1: pitch is that I can build essentially a database or 112 00:07:22,160 --> 00:07:26,200 Speaker 1: you know, a line of information that's immutable and that 113 00:07:26,640 --> 00:07:29,800 Speaker 1: is not controlled by a single party, and that can 114 00:07:29,840 --> 00:07:33,920 Speaker 1: exist amongst entities that maybe don't trust each other. But 115 00:07:34,080 --> 00:07:36,920 Speaker 1: you're saying that in order to get to that point, 116 00:07:37,080 --> 00:07:39,440 Speaker 1: you pretty much have to have a group of entities 117 00:07:39,480 --> 00:07:42,640 Speaker 1: that trust each other and are able to coordinate in 118 00:07:42,760 --> 00:07:46,720 Speaker 1: some sort of centralized fashion exactly. And we've got a 119 00:07:46,760 --> 00:07:50,120 Speaker 1: pretty solid legal system to ensure that people can trust 120 00:07:50,160 --> 00:07:54,200 Speaker 1: each other. Right. Financial institutions form contracts with each other 121 00:07:54,280 --> 00:07:56,600 Speaker 1: all the time, even though they will be competitors in 122 00:07:57,120 --> 00:08:00,520 Speaker 1: um in some way, and and and that where the 123 00:08:00,640 --> 00:08:04,320 Speaker 1: enforcement falls back on if you create some technology to 124 00:08:04,360 --> 00:08:07,560 Speaker 1: try to re enforce that, you're going to need to 125 00:08:07,680 --> 00:08:10,440 Speaker 1: end up relying on the legal system if someone breaks 126 00:08:10,440 --> 00:08:14,480 Speaker 1: those rules anyway. So why use what's fundamentally a very 127 00:08:14,600 --> 00:08:18,440 Speaker 1: inefficient technology that was developed for a very specific purpose. 128 00:08:18,720 --> 00:08:21,480 Speaker 1: Explain this because I think a lot of people who 129 00:08:21,880 --> 00:08:25,120 Speaker 1: don't know much about the space are surprised to hear 130 00:08:25,160 --> 00:08:28,440 Speaker 1: that the technology is inefficient, because the appeal is like, Oh, 131 00:08:28,480 --> 00:08:32,040 Speaker 1: it's going to strip out all of this legacy code 132 00:08:32,120 --> 00:08:36,040 Speaker 1: and it's really fast, and it's decentralized, and decentralized sounds 133 00:08:36,040 --> 00:08:38,679 Speaker 1: like a really good buzzword, and so it's very efficient, 134 00:08:39,320 --> 00:08:42,280 Speaker 1: and we imagine that there's it's gonna like strip out 135 00:08:42,280 --> 00:08:47,040 Speaker 1: all these like gigantic server rooms. Why are blockchains inherently inefficient? 136 00:08:47,960 --> 00:08:51,200 Speaker 1: It's a funny fallacy that that hunger that's caught on 137 00:08:51,360 --> 00:08:55,679 Speaker 1: from back in the earlier days of bitcoin, where the 138 00:08:55,720 --> 00:08:59,959 Speaker 1: message was we can move bitcoin or we can perform 139 00:09:00,040 --> 00:09:04,160 Speaker 1: payments or move value faster than the current financial system. 140 00:09:04,200 --> 00:09:06,800 Speaker 1: It's more efficient in the current financial system because I 141 00:09:06,800 --> 00:09:10,880 Speaker 1: can send you will send money instantly to Tracy now 142 00:09:10,920 --> 00:09:13,120 Speaker 1: who is on the other side of the world. I 143 00:09:13,120 --> 00:09:17,200 Speaker 1: think literally on the other side, so I could I 144 00:09:17,240 --> 00:09:19,680 Speaker 1: can send money and Tracy will have it with within 145 00:09:20,160 --> 00:09:24,640 Speaker 1: ten minutes. Right, Um, that sounds great, but there's a 146 00:09:24,679 --> 00:09:27,880 Speaker 1: lot of stuff in that that's not included. There's not 147 00:09:28,040 --> 00:09:32,000 Speaker 1: the all of the transaction monitor monitoring, anti money launching, 148 00:09:32,040 --> 00:09:36,000 Speaker 1: all the operational stuff that's around any bank, right, that's 149 00:09:36,000 --> 00:09:39,520 Speaker 1: around any payment system. So people realize that didn't work, 150 00:09:39,559 --> 00:09:41,719 Speaker 1: and then they said, well, if this technology can move 151 00:09:41,760 --> 00:09:44,880 Speaker 1: payments more efficiently, what else can it do more efficiently? 152 00:09:45,000 --> 00:09:47,360 Speaker 1: And then it's sort of stuck. So that was sort 153 00:09:47,360 --> 00:09:49,360 Speaker 1: of something that hung around. Now, if you have a 154 00:09:49,440 --> 00:09:55,280 Speaker 1: look at how bitcoin accomplishes that that movement, it's it 155 00:09:55,320 --> 00:09:58,640 Speaker 1: does a couple of things. One, if I'm sending money 156 00:09:58,800 --> 00:10:02,640 Speaker 1: or sending bitcoin to Tracy, Tracy knows that I have 157 00:10:02,760 --> 00:10:06,280 Speaker 1: sent it because she can see that it's a little 158 00:10:06,280 --> 00:10:08,680 Speaker 1: bit more complicated, but she can see that I had 159 00:10:08,720 --> 00:10:11,439 Speaker 1: that balance to send, and the rest of the network 160 00:10:11,440 --> 00:10:13,800 Speaker 1: can see that I had that balance to send. So 161 00:10:14,200 --> 00:10:17,640 Speaker 1: everyone is storing all of this information right right. And 162 00:10:17,679 --> 00:10:20,600 Speaker 1: the second piece is how does Tracy know that I 163 00:10:20,679 --> 00:10:23,040 Speaker 1: have only sent that to her and I haven't also 164 00:10:23,120 --> 00:10:27,520 Speaker 1: sent it to you. There's this very complex mathematical calculation, 165 00:10:27,559 --> 00:10:31,080 Speaker 1: this mining process that makes sure that I'm not doing that. 166 00:10:31,520 --> 00:10:35,000 Speaker 1: This really seems like the key thing, which is that 167 00:10:35,559 --> 00:10:40,000 Speaker 1: it's not just that you're sending money to Tracy, it's 168 00:10:40,080 --> 00:10:44,240 Speaker 1: that everyone on the entire bitcoin network is seeing you 169 00:10:44,320 --> 00:10:48,080 Speaker 1: send money to Tracy. So it's actually wildly inefficient in 170 00:10:48,080 --> 00:10:50,640 Speaker 1: a sense. It may serve a purpose, but if it's 171 00:10:50,679 --> 00:10:53,120 Speaker 1: like if I sent you an email, but the only 172 00:10:53,160 --> 00:10:55,240 Speaker 1: way I could send you an email is if everyone 173 00:10:55,320 --> 00:10:57,600 Speaker 1: in the entire world who had an email account also 174 00:10:57,720 --> 00:10:59,960 Speaker 1: got to see that, we could just see This would 175 00:11:00,040 --> 00:11:05,920 Speaker 1: be an extremely computationally intense process. Absolutely, and when you're 176 00:11:05,960 --> 00:11:08,439 Speaker 1: when you're sending and that's a that's a good example. 177 00:11:08,440 --> 00:11:11,079 Speaker 1: If we have a look at something like email, that's 178 00:11:11,160 --> 00:11:14,480 Speaker 1: just data, So it doesn't matter if you're the only 179 00:11:14,520 --> 00:11:16,960 Speaker 1: one that gets it or someone else doesn't validate that 180 00:11:17,000 --> 00:11:20,280 Speaker 1: you received it. That's just between us. If you're talking 181 00:11:20,320 --> 00:11:23,520 Speaker 1: about value, that does matter. If people are duplicating it, 182 00:11:23,559 --> 00:11:25,920 Speaker 1: that does matter, if people are creating more than they should. 183 00:11:26,280 --> 00:11:31,400 Speaker 1: So you sacrifice a lot of that computational efficiency to 184 00:11:31,520 --> 00:11:34,720 Speaker 1: solve this very specific problem, which was what bitcoin solved 185 00:11:34,720 --> 00:11:36,880 Speaker 1: in the first place. So it's been one of these 186 00:11:36,960 --> 00:11:41,400 Speaker 1: unfortunate things where that that initial fallacy of this efficiency, 187 00:11:41,440 --> 00:11:45,160 Speaker 1: of this speed was was sort of taken and run 188 00:11:45,200 --> 00:11:47,400 Speaker 1: with it, and people forgot that this was a very 189 00:11:48,000 --> 00:11:52,240 Speaker 1: niche computer science problem that was solved using, you know, 190 00:11:52,520 --> 00:11:57,680 Speaker 1: very complex, inefficient solution. So I believe in the world 191 00:11:57,760 --> 00:12:02,640 Speaker 1: before blockchain, we would call that database sprawl, right, So absolutely, 192 00:12:04,120 --> 00:12:06,880 Speaker 1: how how much of an issue is that for a 193 00:12:06,880 --> 00:12:10,280 Speaker 1: company that is trying to do a real world application 194 00:12:10,840 --> 00:12:14,480 Speaker 1: with blockchain? And it kind of feeds into a second 195 00:12:14,520 --> 00:12:16,520 Speaker 1: question that I would like to ask, which is how 196 00:12:16,559 --> 00:12:20,040 Speaker 1: many of the real world applications or projects with blockchain 197 00:12:20,480 --> 00:12:24,920 Speaker 1: we're actually distributed in a significant way, because we saw 198 00:12:24,920 --> 00:12:28,520 Speaker 1: a lot of companies announced test cases with blockchain, but 199 00:12:28,559 --> 00:12:30,839 Speaker 1: then they would say, oh, and by the way, this 200 00:12:30,920 --> 00:12:34,080 Speaker 1: is only for us, it's only on our servers, it's 201 00:12:34,160 --> 00:12:38,800 Speaker 1: not even decentralized. Yeah, a couple of things. Firstly, any 202 00:12:39,000 --> 00:12:45,040 Speaker 1: enterprise technology transformation is very costly and requires a huge 203 00:12:45,040 --> 00:12:50,880 Speaker 1: amount of coordination. So there's in my ten years at 204 00:12:51,280 --> 00:12:53,640 Speaker 1: the firm UM, I don't think I came across a 205 00:12:53,679 --> 00:12:57,040 Speaker 1: client that couldn't have benefited from one giant data warehouse 206 00:12:57,440 --> 00:12:59,640 Speaker 1: where all of the data is reconciled all of its 207 00:12:59,640 --> 00:13:03,200 Speaker 1: console it dated. The number that had that is very few, 208 00:13:03,240 --> 00:13:05,720 Speaker 1: just because to set up something like that is hugely 209 00:13:05,760 --> 00:13:10,000 Speaker 1: costly and you're you're talking multiple years for paybacks. So 210 00:13:10,480 --> 00:13:14,480 Speaker 1: these are coordinating. What technology spend is useful and what 211 00:13:14,600 --> 00:13:17,880 Speaker 1: isn't in an enterprise is the job of the CTO, 212 00:13:17,960 --> 00:13:20,880 Speaker 1: and it's complex. A block chain doesn't change that. A 213 00:13:20,880 --> 00:13:24,560 Speaker 1: blockchain is still very costly to implement, just like any 214 00:13:24,600 --> 00:13:27,800 Speaker 1: other just like any other infrastructure. So the question is 215 00:13:28,320 --> 00:13:31,560 Speaker 1: if we could have done this previously with architecture that 216 00:13:31,640 --> 00:13:35,480 Speaker 1: we have that we had before blockchains, then why didn't 217 00:13:35,520 --> 00:13:39,000 Speaker 1: we Because I'm not sure it would change. A blockchain 218 00:13:39,080 --> 00:13:42,200 Speaker 1: is going to change that dynamic. The second thing is, 219 00:13:42,240 --> 00:13:47,400 Speaker 1: and this is worth noting, is it's neon impossible to 220 00:13:47,559 --> 00:13:52,240 Speaker 1: define exactly what people mean by blockchains. There's a common 221 00:13:52,920 --> 00:13:55,000 Speaker 1: thing that comes that keeps on coming up is that 222 00:13:55,559 --> 00:13:59,080 Speaker 1: in many definitions that people when people try to define 223 00:13:59,120 --> 00:14:03,600 Speaker 1: what a blockchain is, how it often doesn't differ from 224 00:14:03,640 --> 00:14:09,800 Speaker 1: say a Google spreadsheet UM or just an append only database. 225 00:14:10,240 --> 00:14:14,080 Speaker 1: Because if you start talking about distributed systems, well that's 226 00:14:14,120 --> 00:14:18,560 Speaker 1: a distributed database. UM. If you talk about decentralization. Well, 227 00:14:19,360 --> 00:14:22,320 Speaker 1: that's very that can be difficult to define because there 228 00:14:22,320 --> 00:14:25,880 Speaker 1: can be spectrums of that and people have different views 229 00:14:25,880 --> 00:14:30,560 Speaker 1: on exactly what is decentralization. So it's one of those 230 00:14:30,600 --> 00:14:32,600 Speaker 1: things that it's sort of got a buzzword that everyone 231 00:14:33,280 --> 00:14:37,480 Speaker 1: thinks they know what they're talking about when they say 232 00:14:37,520 --> 00:14:41,160 Speaker 1: a blockchain. But I've seen a lot of technologies out 233 00:14:41,200 --> 00:14:44,120 Speaker 1: there that define themselves as you know, as blockchains, that 234 00:14:44,160 --> 00:14:47,440 Speaker 1: work very, very differently. So it comes down to is 235 00:14:47,440 --> 00:14:52,160 Speaker 1: a blockchain just simply a chain of blocks um, In 236 00:14:52,200 --> 00:14:55,200 Speaker 1: which case it's that's just an append only database and 237 00:14:55,240 --> 00:14:59,200 Speaker 1: a pretty boring data architecture UM. But that doesn't really 238 00:14:59,200 --> 00:15:01,000 Speaker 1: address all of the clams that people say it does. 239 00:15:01,520 --> 00:15:05,240 Speaker 1: So another selling point of blockchain technology is that it's 240 00:15:05,240 --> 00:15:10,239 Speaker 1: a sort of shared database. It's replicated across participants, depending 241 00:15:10,600 --> 00:15:12,800 Speaker 1: you know, on how they want to use it. But 242 00:15:13,000 --> 00:15:16,920 Speaker 1: the integrity of the data is supposed to be ensured 243 00:15:17,160 --> 00:15:20,880 Speaker 1: because you're using you know, these mathematical calculations to verify 244 00:15:20,920 --> 00:15:24,400 Speaker 1: it each time, and everyone can see all the underlying 245 00:15:24,520 --> 00:15:29,280 Speaker 1: blocks and all of that. Is that actually true or 246 00:15:29,440 --> 00:15:33,360 Speaker 1: is it possible that blockchains can be gamed by a 247 00:15:33,440 --> 00:15:36,680 Speaker 1: bad actor? And that the underlying data can be manipulated. 248 00:15:37,280 --> 00:15:41,960 Speaker 1: The data can really almost anything in computer scidence or 249 00:15:42,000 --> 00:15:45,640 Speaker 1: in in data structures like this can be gamed. It's 250 00:15:45,720 --> 00:15:51,040 Speaker 1: just how difficult is it. A blockchain in this, in 251 00:15:51,160 --> 00:15:55,160 Speaker 1: the in the sort of bitcoin or um in that sense, 252 00:15:55,880 --> 00:16:01,600 Speaker 1: is incredibly difficult to game because the data is spread 253 00:16:01,600 --> 00:16:04,080 Speaker 1: out across a lot of participants, so you've got to 254 00:16:04,120 --> 00:16:09,080 Speaker 1: get everyone to change it. And secondly, the software that 255 00:16:09,360 --> 00:16:12,920 Speaker 1: is adding that data is run by all of those 256 00:16:12,960 --> 00:16:16,040 Speaker 1: different systems, so you've got to go in and change 257 00:16:16,040 --> 00:16:20,720 Speaker 1: that software as well. So yes, it is very, very 258 00:16:20,800 --> 00:16:24,520 Speaker 1: difficult to change that data, but it's worth noting what 259 00:16:24,560 --> 00:16:29,520 Speaker 1: you've sacrificed to do that. In at least in enterprise systems, 260 00:16:31,200 --> 00:16:36,080 Speaker 1: Essentially you are giving up governance of that data structure, 261 00:16:36,320 --> 00:16:38,960 Speaker 1: and so on the plus side, you can never change 262 00:16:39,000 --> 00:16:41,920 Speaker 1: the data. On the downside, you can never change the 263 00:16:42,000 --> 00:16:45,600 Speaker 1: data if there is an error, if the software needs 264 00:16:45,600 --> 00:16:50,200 Speaker 1: to be upgraded, if there needs to be a format change, 265 00:16:51,000 --> 00:16:53,200 Speaker 1: any any of that sort of Any of that sort 266 00:16:53,200 --> 00:16:55,920 Speaker 1: of stuff then needs to be coordinated across every single 267 00:16:56,000 --> 00:17:01,880 Speaker 1: system that's managing this. So the more complex you make, 268 00:17:01,960 --> 00:17:05,639 Speaker 1: you a technology solution using a blook chain, the bigger 269 00:17:05,640 --> 00:17:09,000 Speaker 1: the chance that something will go wrong. Yeah, well, I 270 00:17:09,040 --> 00:17:12,600 Speaker 1: was gonna say so, Like one of the things about bitcoin, 271 00:17:13,280 --> 00:17:15,240 Speaker 1: and it's a plus in a minus, which is that 272 00:17:15,359 --> 00:17:18,119 Speaker 1: if I, like send want to send you some money 273 00:17:18,240 --> 00:17:20,800 Speaker 1: or send you some bitcoin, but I accidentally like put 274 00:17:20,800 --> 00:17:25,080 Speaker 1: in the wrong address, then we're screwed. Like that's I mean, 275 00:17:25,160 --> 00:17:27,560 Speaker 1: maybe the person who if we can find that person 276 00:17:27,560 --> 00:17:29,800 Speaker 1: who got the money, maybe they'll be kind enough if 277 00:17:29,840 --> 00:17:31,760 Speaker 1: they can figure it out to reverse it, but probably 278 00:17:32,160 --> 00:17:35,080 Speaker 1: we're screwed. And so when I like hear about stuff 279 00:17:35,119 --> 00:17:38,200 Speaker 1: like we're gonna put like real estate on the blockchain, 280 00:17:38,720 --> 00:17:40,520 Speaker 1: it's like, what if, like I buy a house from 281 00:17:40,520 --> 00:17:43,480 Speaker 1: you and it turns out that at the very last 282 00:17:43,480 --> 00:17:46,720 Speaker 1: second during the closing, someone puts in the wrong address. 283 00:17:47,320 --> 00:17:51,840 Speaker 1: Either they were really screwed or we can reverse it, 284 00:17:52,240 --> 00:17:54,480 Speaker 1: in which case it probably wasn't really a blockchain in 285 00:17:54,520 --> 00:17:56,359 Speaker 1: the first place, you or a fat finger error. And 286 00:17:56,600 --> 00:17:59,680 Speaker 1: so yeah, and you so half the state. Yeah, it's Um. 287 00:17:59,800 --> 00:18:02,240 Speaker 1: The the other thing in real estate is a funny 288 00:18:02,240 --> 00:18:05,520 Speaker 1: one because that that also gets brought up because um, 289 00:18:05,640 --> 00:18:08,840 Speaker 1: how do you tie the blockchain to the actual real 290 00:18:08,880 --> 00:18:11,399 Speaker 1: world as well? Right, And this gets actually, so it 291 00:18:11,880 --> 00:18:13,320 Speaker 1: was something I want to ask, and I think it's 292 00:18:13,359 --> 00:18:16,200 Speaker 1: sort of I want to flesh out your first point, 293 00:18:16,200 --> 00:18:20,320 Speaker 1: which is that the challenge with all this stuff is 294 00:18:20,359 --> 00:18:23,439 Speaker 1: not the technology, but in getting everyone to agree. And 295 00:18:23,480 --> 00:18:27,280 Speaker 1: once you've gotten everyone to agree, then you've kind of 296 00:18:27,280 --> 00:18:29,880 Speaker 1: solved the problem that the tech is. So I'm thinking 297 00:18:29,880 --> 00:18:33,600 Speaker 1: about something like, okay, tracking lettuce on a block chain, 298 00:18:34,160 --> 00:18:38,479 Speaker 1: like the real challenges like who gets to scandal at us? Right, 299 00:18:38,880 --> 00:18:41,560 Speaker 1: you have to like, you can't have anyone go around 300 00:18:41,640 --> 00:18:43,840 Speaker 1: with a barcode and a scanner scanning let us into 301 00:18:43,840 --> 00:18:47,840 Speaker 1: the blockchain. Someone has to be like authorized participants to 302 00:18:47,960 --> 00:18:50,160 Speaker 1: go around with a scanner and their scanner is connected 303 00:18:50,200 --> 00:18:52,600 Speaker 1: to the database. But it seems like if you can 304 00:18:52,640 --> 00:18:55,240 Speaker 1: then all agree on who gets to have these scanners 305 00:18:55,280 --> 00:18:59,160 Speaker 1: and whose passwords work, then again, like you've already solved 306 00:18:59,160 --> 00:19:02,120 Speaker 1: the hard part. Absolutely, And how do you make sure 307 00:19:02,160 --> 00:19:05,600 Speaker 1: that people are scanning all the lettuces or that someone 308 00:19:05,640 --> 00:19:07,840 Speaker 1: hasn't substituted a poor let us for a good let us. 309 00:19:08,840 --> 00:19:13,399 Speaker 1: I'm not sure how big a problem. Yeah, absolutely, absolutely, 310 00:19:13,640 --> 00:19:17,960 Speaker 1: you know, counterfeit let us. So there is the data 311 00:19:18,040 --> 00:19:22,359 Speaker 1: in a blockchain in theory is perfect, but that's not 312 00:19:22,760 --> 00:19:27,800 Speaker 1: the data problem that that we generally have. It's on 313 00:19:28,000 --> 00:19:32,320 Speaker 1: the ins and out data quality doesn't happen because a 314 00:19:32,359 --> 00:19:35,960 Speaker 1: sequel server is fundamentally bad at keeping the data right. 315 00:19:36,600 --> 00:19:42,520 Speaker 1: It's wrong because the data the different formats between systems. Absolutely, 316 00:19:43,000 --> 00:19:48,760 Speaker 1: that doesn't change with the blockchain, so vegetable arbitrage aside. 317 00:19:49,040 --> 00:19:52,359 Speaker 1: I'm curious how we got to the point that we 318 00:19:52,560 --> 00:19:57,760 Speaker 1: began our discussion with this blockchain but not bitcoin idea, Like, 319 00:19:58,080 --> 00:20:02,840 Speaker 1: how did companies actually ease upon this technology as something 320 00:20:03,400 --> 00:20:07,000 Speaker 1: that was going to transform their various businesses? How did 321 00:20:07,000 --> 00:20:09,520 Speaker 1: we get to that point. It's it's a funny one 322 00:20:09,600 --> 00:20:13,959 Speaker 1: because the question comes up when I when I'll say this, 323 00:20:14,040 --> 00:20:16,919 Speaker 1: as people will say, well, are you telling me that 324 00:20:16,960 --> 00:20:22,080 Speaker 1: all of these companies are wrong? The challenge is that 325 00:20:23,000 --> 00:20:30,040 Speaker 1: when certainly in any sort of innovation, sometimes headlines are 326 00:20:30,720 --> 00:20:33,520 Speaker 1: you know, headlines are quite important to the business, and 327 00:20:33,800 --> 00:20:36,280 Speaker 1: you know, some of this will be sort of marketing strategies, 328 00:20:36,320 --> 00:20:38,880 Speaker 1: and some of this will be you know, just simply 329 00:20:38,960 --> 00:20:43,320 Speaker 1: experimentation and learning about this. If I were a major 330 00:20:43,400 --> 00:20:47,399 Speaker 1: financial um, if I were running a major financial institution 331 00:20:47,400 --> 00:20:49,919 Speaker 1: and everyone's telling me that this technology is going to 332 00:20:49,960 --> 00:20:54,280 Speaker 1: make me redundant um, I would be full to not 333 00:20:54,600 --> 00:20:58,720 Speaker 1: invest and explore this and with my work when I was, 334 00:20:59,119 --> 00:21:01,520 Speaker 1: when I was with the first moment um, you know, 335 00:21:01,600 --> 00:21:06,399 Speaker 1: with well with with all of these organizations, it makes 336 00:21:06,440 --> 00:21:09,960 Speaker 1: sense to assess this, to do your due diligence to 337 00:21:10,080 --> 00:21:15,200 Speaker 1: understand what this technology is and isn't. What's happened is 338 00:21:15,480 --> 00:21:18,680 Speaker 1: that some of that's really sort of caught on. And 339 00:21:19,480 --> 00:21:22,800 Speaker 1: so my my theory, when people start seeing press releases 340 00:21:22,840 --> 00:21:27,280 Speaker 1: from different organizations, when people start hearing all of these 341 00:21:27,440 --> 00:21:31,479 Speaker 1: grand promises, what's important is to demonstrate that you're doing something. 342 00:21:32,320 --> 00:21:36,280 Speaker 1: And there's a certain, you know, a certain level of 343 00:21:36,320 --> 00:21:38,879 Speaker 1: group think where there's a lot of looking sideways and 344 00:21:39,000 --> 00:21:42,560 Speaker 1: not necessarily looking, you know, looking underneath. I think there's 345 00:21:42,600 --> 00:21:47,320 Speaker 1: a great analogy here with the asset management industry, in 346 00:21:47,320 --> 00:21:50,800 Speaker 1: which there's a lot of risk to swimming against the 347 00:21:50,880 --> 00:21:54,640 Speaker 1: tide and you could get So let's just say there 348 00:21:54,720 --> 00:21:59,240 Speaker 1: is a world in which banking primarily goes on the blockchain. 349 00:21:59,320 --> 00:22:01,679 Speaker 1: Whatever that means. You would be taking a lot of 350 00:22:01,760 --> 00:22:04,680 Speaker 1: career risk and someone would probably get fired if you're 351 00:22:04,720 --> 00:22:07,639 Speaker 1: the CTO of some bank who didn't do that. Like 352 00:22:07,680 --> 00:22:09,919 Speaker 1: if everyone else said wow, we've we've really found a 353 00:22:09,960 --> 00:22:12,080 Speaker 1: way to like cut out all this back office and 354 00:22:12,160 --> 00:22:15,000 Speaker 1: efficiency by putting all this data on the blockchain, and 355 00:22:15,040 --> 00:22:17,639 Speaker 1: they're everyones reduced their costs and one bank didn't like 356 00:22:17,680 --> 00:22:20,439 Speaker 1: that CTO is in trouble. But if everyone jumps at 357 00:22:20,440 --> 00:22:23,160 Speaker 1: the same time into it and it doesn't work out, 358 00:22:23,800 --> 00:22:26,080 Speaker 1: then it's like, well, we invested some money, it didn't 359 00:22:26,080 --> 00:22:28,080 Speaker 1: work out, but no one gets into trouble. So for 360 00:22:28,160 --> 00:22:31,359 Speaker 1: the individual, there's a lot of pressure then to just 361 00:22:31,520 --> 00:22:33,399 Speaker 1: sort of go along with all the press releases and 362 00:22:33,440 --> 00:22:36,359 Speaker 1: all the other people. We absolutely and to be perfectly honest, 363 00:22:36,400 --> 00:22:38,840 Speaker 1: it's not that expensive to do it right, it's it 364 00:22:39,320 --> 00:22:42,360 Speaker 1: And so it's it makes sense to make that bet, 365 00:22:42,440 --> 00:22:45,800 Speaker 1: as you say, because do you do you really want 366 00:22:45,800 --> 00:22:47,600 Speaker 1: to stand up and say that all of these other 367 00:22:47,600 --> 00:22:50,439 Speaker 1: ones are wrong, because you know, on the if you 368 00:22:50,480 --> 00:22:52,000 Speaker 1: don't say that, like you could at least go on 369 00:22:52,040 --> 00:22:54,320 Speaker 1: a panel and sounds smart. And I say that I'm 370 00:22:54,320 --> 00:22:56,080 Speaker 1: only like have joking when I say that, But I 371 00:22:56,240 --> 00:22:59,919 Speaker 1: I often like wonder, like how much is that motive 372 00:23:00,000 --> 00:23:04,239 Speaker 1: ation for someone who is like a technology executive at 373 00:23:04,240 --> 00:23:06,280 Speaker 1: a bank. They're just like, you want to sound smart, 374 00:23:06,320 --> 00:23:08,720 Speaker 1: you want to be a thought leader, right yeah, And 375 00:23:08,720 --> 00:23:13,879 Speaker 1: and also you know, as um, while I you know, 376 00:23:13,960 --> 00:23:17,840 Speaker 1: I preach restraint and all with this technology, one thing 377 00:23:17,960 --> 00:23:20,399 Speaker 1: that I think it is doing, and I think this 378 00:23:20,520 --> 00:23:22,480 Speaker 1: is where a number of the projects are getting to, 379 00:23:23,359 --> 00:23:29,479 Speaker 1: is it's making institutions rethink their core infrastructure and maybe 380 00:23:29,520 --> 00:23:32,800 Speaker 1: start looking at making some of these investments that they 381 00:23:32,840 --> 00:23:37,560 Speaker 1: haven't previously because they've realized we've just been plotting along 382 00:23:37,680 --> 00:23:41,240 Speaker 1: for you know, ten twenty years, just doing minimal upgrades 383 00:23:41,280 --> 00:23:44,119 Speaker 1: to our technology because that's been good enough. But this 384 00:23:44,160 --> 00:23:49,160 Speaker 1: has made the rethink that, you know, maybe our position 385 00:23:49,280 --> 00:23:51,360 Speaker 1: isn't always going to be safe, and maybe we need 386 00:23:51,400 --> 00:23:54,840 Speaker 1: to have a real rethink of this core infrastructure, even 387 00:23:54,920 --> 00:23:57,240 Speaker 1: if it goes down the track of something centralized and 388 00:23:57,320 --> 00:24:00,680 Speaker 1: something that doesn't really need a blockchain. Has it really 389 00:24:00,720 --> 00:24:04,520 Speaker 1: sort of disrupted the technology organized nation enough that they've 390 00:24:04,560 --> 00:24:10,040 Speaker 1: thought about new ways of restrctfrastructure. So okay, so maybe 391 00:24:10,040 --> 00:24:14,480 Speaker 1: it's forcing some institutions to think about their technology infrastructure 392 00:24:14,520 --> 00:24:16,879 Speaker 1: in a more holistic way. But I have to ask, 393 00:24:17,040 --> 00:24:22,160 Speaker 1: do you see any real world application for blockchain technology 394 00:24:22,240 --> 00:24:26,520 Speaker 1: where it would actually a work and be makes sense? 395 00:24:27,800 --> 00:24:33,480 Speaker 1: Private block chains? No? The one thing or at least 396 00:24:34,440 --> 00:24:37,600 Speaker 1: there's nothing that I can see right now. But look, 397 00:24:37,640 --> 00:24:39,960 Speaker 1: I could be you know, I could be wrong. There 398 00:24:40,040 --> 00:24:42,760 Speaker 1: is a reason why bitcoin was designed as a very 399 00:24:42,800 --> 00:24:46,840 Speaker 1: simple technology in that it only really transferred value and 400 00:24:47,600 --> 00:24:51,639 Speaker 1: had some very small, simple bits of logic for the 401 00:24:51,680 --> 00:24:56,200 Speaker 1: reason that if something goes wrong, um, it's very difficult 402 00:24:56,200 --> 00:24:57,840 Speaker 1: to change. So you want to limit the number of 403 00:24:57,840 --> 00:25:02,080 Speaker 1: things that can go wrong consequent lee applications for this technology. 404 00:25:02,119 --> 00:25:05,920 Speaker 1: If you're not talking value transfer, you're really talking about 405 00:25:06,440 --> 00:25:11,040 Speaker 1: time stamping, right, or storing data in a way that 406 00:25:11,280 --> 00:25:14,720 Speaker 1: it can't be changed. You're not necessarily talking about you know, 407 00:25:14,840 --> 00:25:18,439 Speaker 1: big complex logic or anything anything like that. You're talking 408 00:25:18,520 --> 00:25:23,439 Speaker 1: value transfer or time stamps of data making sure that 409 00:25:23,520 --> 00:25:26,200 Speaker 1: something was at a particular state at a particular point 410 00:25:26,240 --> 00:25:29,199 Speaker 1: in time, and that can be valuable. The thing is, 411 00:25:29,240 --> 00:25:32,239 Speaker 1: when you're looking at that sort of time stamping, you 412 00:25:32,280 --> 00:25:35,880 Speaker 1: can do that on a public blockchain, and it would 413 00:25:35,920 --> 00:25:39,919 Speaker 1: probably be cheaper than all of them, than all of 414 00:25:39,960 --> 00:25:43,359 Speaker 1: the complications around setting up your own That distinction you 415 00:25:43,480 --> 00:25:47,080 Speaker 1: make between a private blockchain and a public blockchain For 416 00:25:47,160 --> 00:25:51,040 Speaker 1: people who aren't familiar with those terms, the private blockchain 417 00:25:51,880 --> 00:25:55,960 Speaker 1: is essentially like the consortium of lettuce growers, and a 418 00:25:55,960 --> 00:26:00,480 Speaker 1: public blockchain is like a bitcoin or an ethereal. Yeah. Yeah. 419 00:26:00,600 --> 00:26:03,760 Speaker 1: The the idea was the bitcoin or ethereum you could 420 00:26:03,800 --> 00:26:07,119 Speaker 1: send around value or do other sorts of things. But 421 00:26:07,280 --> 00:26:10,359 Speaker 1: to do that, you had this whole mining process that's 422 00:26:11,119 --> 00:26:15,520 Speaker 1: had the computational problems to solve. Uh, to incentivize people 423 00:26:15,600 --> 00:26:18,800 Speaker 1: to look at this data the private blockchains, I said, well, 424 00:26:18,880 --> 00:26:21,440 Speaker 1: if we all know who each other are, we're incentivized 425 00:26:21,440 --> 00:26:23,359 Speaker 1: to cooperate, so we can do away with the mining. 426 00:26:23,480 --> 00:26:27,320 Speaker 1: So I guess to sort of sum this up, the 427 00:26:28,160 --> 00:26:31,280 Speaker 1: maybe like okay, obviously quite bearish on the sort of 428 00:26:31,320 --> 00:26:36,680 Speaker 1: private blockchain enterprise blockchain stuff. Within the public blockchain world, 429 00:26:37,400 --> 00:26:42,120 Speaker 1: there's still massive debate about whether anything at any value 430 00:26:42,400 --> 00:26:44,960 Speaker 1: besides bitcoin, or whether there needs to be anything besides 431 00:26:45,000 --> 00:26:48,560 Speaker 1: bitcoin or ethereum. Now you have a you know, the 432 00:26:48,600 --> 00:26:52,240 Speaker 1: last couple of years, this Cambrian explosion of all coins 433 00:26:52,320 --> 00:26:56,320 Speaker 1: trying to do something different. Stable coins are in this year. 434 00:26:56,720 --> 00:26:59,080 Speaker 1: But you said something very interesting at the beginning, which 435 00:26:59,119 --> 00:27:03,439 Speaker 1: is that, so what bitcoin was created? The technology is 436 00:27:03,560 --> 00:27:07,399 Speaker 1: very complex or sorry, there's a very inefficient, cumbersome to 437 00:27:07,480 --> 00:27:11,880 Speaker 1: serve a very narrow specific use case. As you look 438 00:27:11,880 --> 00:27:15,040 Speaker 1: at the crypto blockchain lands kept going forward, do you 439 00:27:15,080 --> 00:27:20,200 Speaker 1: see any other use cases besides essentially that essentially narrow 440 00:27:20,440 --> 00:27:25,280 Speaker 1: value transfer from you to tracing. There could be, but 441 00:27:25,400 --> 00:27:28,480 Speaker 1: I think that that builds on that base of value transfer. 442 00:27:28,880 --> 00:27:31,480 Speaker 1: So if you have a look at the Internet, we 443 00:27:31,600 --> 00:27:35,800 Speaker 1: didn't We didn't get all of the fancy apps and 444 00:27:36,160 --> 00:27:40,600 Speaker 1: social networking and all of all of these applications without 445 00:27:40,680 --> 00:27:43,439 Speaker 1: just getting a web browser an email. Right. There was 446 00:27:43,480 --> 00:27:46,160 Speaker 1: friends to back in the nineties, and there were IoT 447 00:27:46,280 --> 00:27:49,280 Speaker 1: devices and a number of other sorts of things that 448 00:27:49,320 --> 00:27:52,880 Speaker 1: we have now. The dot com boom is is uh, 449 00:27:53,080 --> 00:27:55,760 Speaker 1: you know, it's the famous period where where people were 450 00:27:55,760 --> 00:27:58,720 Speaker 1: developing a whole lot of stuff, but fundamentally there wasn't 451 00:27:59,000 --> 00:28:03,040 Speaker 1: There weren't enough pill on board using that just core 452 00:28:03,280 --> 00:28:09,640 Speaker 1: applications and decentralization you mentioned very exciting buzzword. I don't 453 00:28:09,680 --> 00:28:12,520 Speaker 1: think your person on the street really knows or cares 454 00:28:12,560 --> 00:28:15,320 Speaker 1: what that is at the moment. But what we do have, 455 00:28:15,440 --> 00:28:20,120 Speaker 1: and um, I've seen you make this point before and 456 00:28:20,359 --> 00:28:24,960 Speaker 1: it's it's absolutely where I stand with this. Value transfer 457 00:28:25,440 --> 00:28:30,560 Speaker 1: at the moment is something that bitcoin censorship resistant value 458 00:28:30,600 --> 00:28:36,680 Speaker 1: transfer or storage is the thing that bitcoin or these 459 00:28:36,680 --> 00:28:40,080 Speaker 1: other cryptocurrencies can do that no other system can do. 460 00:28:41,000 --> 00:28:42,920 Speaker 1: And there are parts of the world where that's important, 461 00:28:43,600 --> 00:28:46,520 Speaker 1: where you don't have the choice to use a traditional 462 00:28:46,560 --> 00:28:51,560 Speaker 1: financial system. So in my view, that's really where the 463 00:28:51,640 --> 00:28:55,240 Speaker 1: benefit for this is. You've got countries Zimbabwe, Turkey, Iran 464 00:28:55,360 --> 00:28:58,880 Speaker 1: where people value a store of value that's away from 465 00:28:59,160 --> 00:29:02,959 Speaker 1: that's away from the government. In the developed world, people 466 00:29:03,360 --> 00:29:06,880 Speaker 1: like to bet on commodities and people would like to 467 00:29:07,880 --> 00:29:10,600 Speaker 1: bet on the future. And I think that's the application here. 468 00:29:11,080 --> 00:29:17,200 Speaker 1: So until we get that real adoption of that value transfer, 469 00:29:17,640 --> 00:29:20,120 Speaker 1: which happens by solving a need that people actually have, 470 00:29:21,640 --> 00:29:24,800 Speaker 1: I question the other applications because in a lot of 471 00:29:24,840 --> 00:29:31,360 Speaker 1: cases you can do decentralization or create distributed applications without 472 00:29:31,360 --> 00:29:37,200 Speaker 1: a blockchain. So a blockchain doesn't really change that paradigm. 473 00:29:37,280 --> 00:29:43,520 Speaker 1: So are you you are now bitcoin not blockchain? Yeah? Yeah, 474 00:29:43,680 --> 00:29:47,240 Speaker 1: And and the you know, while while bitcoin has the 475 00:29:47,280 --> 00:29:49,960 Speaker 1: network effect and is the is dominant at the moment, 476 00:29:50,360 --> 00:29:53,160 Speaker 1: whether that is the one that's going to be going 477 00:29:53,200 --> 00:29:56,160 Speaker 1: to be dominant in future and more open about but yes, 478 00:29:56,320 --> 00:29:58,840 Speaker 1: without that, I think it just all comes down to 479 00:29:58,880 --> 00:30:02,560 Speaker 1: censorship resistant you transference storage, in other words, just a 480 00:30:02,600 --> 00:30:06,080 Speaker 1: digital commodity that's away from government. And I hear this 481 00:30:06,160 --> 00:30:07,680 Speaker 1: a bit when I talk to people. They say, look, 482 00:30:07,720 --> 00:30:09,480 Speaker 1: I don't really think that bitcoin is going to be 483 00:30:09,520 --> 00:30:13,120 Speaker 1: a thing unless maybe you're in the developing world. My 484 00:30:13,200 --> 00:30:15,480 Speaker 1: view is I sort of agree with that, but the 485 00:30:15,520 --> 00:30:19,160 Speaker 1: developing world is the world's population. That's a reasonable market. 486 00:30:19,920 --> 00:30:23,760 Speaker 1: On that note, great conversation, Angus Champion to Kutny, thank 487 00:30:23,800 --> 00:30:47,680 Speaker 1: you very much for a coming on. Thank you Joe's Joe. 488 00:30:47,760 --> 00:30:52,280 Speaker 1: I thought that was an absolutely fantastic conversation and really 489 00:30:52,400 --> 00:30:55,560 Speaker 1: encapsulated a lot of the criticism that we've seen about 490 00:30:55,600 --> 00:30:59,600 Speaker 1: blockchain throughout the years in a really relatable way. I 491 00:30:59,680 --> 00:31:02,280 Speaker 1: could agree more because you just see all these press 492 00:31:02,320 --> 00:31:05,280 Speaker 1: releases and people trying to sound smart and all this 493 00:31:05,400 --> 00:31:07,760 Speaker 1: obvious stuff, and you just have so many questions and 494 00:31:07,840 --> 00:31:10,320 Speaker 1: it's like, look, if you're gonna scand the lettuce, like 495 00:31:10,360 --> 00:31:13,080 Speaker 1: who's gonna scandal lettuce? And if anyone can scandal let us, 496 00:31:13,160 --> 00:31:16,200 Speaker 1: Like what are you really accomplishing? And if you have 497 00:31:16,520 --> 00:31:18,800 Speaker 1: a sort of white list of people who are allowed 498 00:31:18,840 --> 00:31:20,880 Speaker 1: to scan the lettuce, then why do you need a blockchain? 499 00:31:21,200 --> 00:31:23,680 Speaker 1: All these questions I've had in my head for so long, 500 00:31:24,080 --> 00:31:26,560 Speaker 1: and it's great to hear from someone who has been 501 00:31:26,640 --> 00:31:29,200 Speaker 1: talking to companies and involved in it for a while 502 00:31:29,600 --> 00:31:33,840 Speaker 1: basically saying, yeah, the scandal Lettuce problem really is a problem, right, 503 00:31:33,880 --> 00:31:36,360 Speaker 1: because if you can build the consortium, you can build 504 00:31:36,400 --> 00:31:39,640 Speaker 1: the consensus to do that much, then yeah, you're sort 505 00:31:39,680 --> 00:31:41,920 Speaker 1: of just throwing technology on top of it for no 506 00:31:42,040 --> 00:31:44,760 Speaker 1: reason at all. But I thought the conversation as well 507 00:31:44,840 --> 00:31:48,000 Speaker 1: on that point about why companies insist on doing this 508 00:31:48,360 --> 00:31:51,480 Speaker 1: was really interesting and the notion that you know, if 509 00:31:51,560 --> 00:31:54,320 Speaker 1: everyone else, if there's a chance that everyone else is 510 00:31:54,400 --> 00:31:56,880 Speaker 1: going to do this, you don't want to be the 511 00:31:57,000 --> 00:32:00,200 Speaker 1: one left out. And but that said, you know that 512 00:32:00,280 --> 00:32:04,280 Speaker 1: old saying about how you never got fired for buying Microsoft, Um, 513 00:32:05,000 --> 00:32:07,000 Speaker 1: do you remember that? It is weird to me that 514 00:32:07,120 --> 00:32:11,320 Speaker 1: this technology that came from this mysterious bitcoin white paper 515 00:32:11,920 --> 00:32:16,560 Speaker 1: that was basically designed, you know, for circumventing the existing 516 00:32:16,680 --> 00:32:22,280 Speaker 1: financial system got adopted so readily by so many sort 517 00:32:22,320 --> 00:32:26,800 Speaker 1: of white chee corporations around the world. Well, maybe no 518 00:32:26,920 --> 00:32:29,640 Speaker 1: one will get fired for talking about it, but maybe 519 00:32:29,680 --> 00:32:31,760 Speaker 1: the first person to get fired will be because they 520 00:32:31,800 --> 00:32:35,440 Speaker 1: actually full up to put their words into action and 521 00:32:35,560 --> 00:32:38,720 Speaker 1: then when their entire business system grinds to a halt, 522 00:32:39,160 --> 00:32:41,320 Speaker 1: they will be fired. But yeah, I totally agree, and 523 00:32:41,360 --> 00:32:43,800 Speaker 1: I had the exact same thought about you never get 524 00:32:43,880 --> 00:32:47,360 Speaker 1: fired for buying Microsoft or IBM or whatever it is. 525 00:32:47,720 --> 00:32:52,000 Speaker 1: That is just such a powerful business incentive. And we 526 00:32:52,200 --> 00:32:54,720 Speaker 1: think about, you know, if you take the sort of 527 00:32:55,880 --> 00:33:00,120 Speaker 1: sort of neo classical view of economics and business of 528 00:33:00,320 --> 00:33:05,160 Speaker 1: rational actors in the economy making decisions based on profit 529 00:33:05,240 --> 00:33:07,560 Speaker 1: and losses and stuff like that, but then you realize 530 00:33:07,600 --> 00:33:10,240 Speaker 1: that in the real world people are just scared to 531 00:33:10,360 --> 00:33:12,520 Speaker 1: not do what other people are doing. You get a 532 00:33:12,640 --> 00:33:14,960 Speaker 1: much sort of much more honest sense of about it 533 00:33:15,080 --> 00:33:18,640 Speaker 1: of how business actually works. Yeah. Absolutely, and you're right. 534 00:33:18,680 --> 00:33:21,160 Speaker 1: I think it was you never get fired for buying IBM? 535 00:33:21,480 --> 00:33:26,160 Speaker 1: Wasn't it quickly one forgets? Yeah? Alright, Uh well, this 536 00:33:26,280 --> 00:33:29,400 Speaker 1: has been another edition of the Odd Thoughts podcast. I'm 537 00:33:29,440 --> 00:33:32,200 Speaker 1: Tracy Alloway. You can follow me on Twitter at Tracy 538 00:33:32,280 --> 00:33:35,360 Speaker 1: Alloway and I'm Joe Why Isn't All? You could follow 539 00:33:35,440 --> 00:33:38,600 Speaker 1: me on Twitter at the Stalwart and you can follow 540 00:33:38,720 --> 00:33:42,200 Speaker 1: Angus on Twitter at Angus Champion, and be sure to 541 00:33:42,360 --> 00:33:46,360 Speaker 1: follow our producer tofur Foreheads on Twitter. He's at foreheads 542 00:33:46,440 --> 00:33:50,000 Speaker 1: t as well as the bloomberg head of podcast, Francesco 543 00:33:50,120 --> 00:34:06,600 Speaker 1: Levy at Francesco Today. Thanks for listening year