1 00:00:04,400 --> 00:00:07,800 Speaker 1: Welcome to tex Stuff, a production from I Heart Radio. 2 00:00:12,080 --> 00:00:14,720 Speaker 1: Hey there, and welcome to tex Stuff. I'm your host, 3 00:00:14,840 --> 00:00:17,880 Speaker 1: Jonathan Strickland. I'm an executive producer with I Heart Radio 4 00:00:18,040 --> 00:00:21,560 Speaker 1: and I love all things tech. And there's been a 5 00:00:21,560 --> 00:00:25,720 Speaker 1: lot of talk recently about n f t s, which 6 00:00:25,800 --> 00:00:28,280 Speaker 1: of course made me think I should probably do an 7 00:00:28,280 --> 00:00:31,440 Speaker 1: episode about them to help explain what they are and 8 00:00:31,520 --> 00:00:36,040 Speaker 1: why they are and how they work. And in some 9 00:00:36,080 --> 00:00:39,680 Speaker 1: ways it's a pretty simple concept but tries to get 10 00:00:39,720 --> 00:00:44,400 Speaker 1: around some really tricky elements about digital goods um and 11 00:00:44,440 --> 00:00:48,240 Speaker 1: in other ways it's just incredibly confusing and at least 12 00:00:48,320 --> 00:00:51,560 Speaker 1: in my case, frustrating. But we'll get there. So let's 13 00:00:51,560 --> 00:00:55,320 Speaker 1: get some definitions out of the way. First. N f 14 00:00:55,360 --> 00:01:00,280 Speaker 1: T stands for non fungible token, which is irritated eating 15 00:01:00,320 --> 00:01:02,000 Speaker 1: because I bet a lot of people don't know what 16 00:01:02,160 --> 00:01:05,399 Speaker 1: fungible means. I mean, I'm gonna be honest here. I 17 00:01:05,440 --> 00:01:09,080 Speaker 1: had heard the word before, but if there had been 18 00:01:09,160 --> 00:01:13,040 Speaker 1: space in my brain that held that definition at some point, 19 00:01:13,880 --> 00:01:18,199 Speaker 1: it was empty until recently. So does it have something 20 00:01:18,240 --> 00:01:21,120 Speaker 1: to do with mushrooms? I thought, no, it does not. 21 00:01:21,840 --> 00:01:24,240 Speaker 1: My brain is a bit slow, So my apologies and 22 00:01:24,280 --> 00:01:26,240 Speaker 1: for all of those of you out there who already 23 00:01:26,240 --> 00:01:29,120 Speaker 1: know what fungible means, and you've known it since you 24 00:01:29,160 --> 00:01:32,000 Speaker 1: were three days old, My hats off to you. You 25 00:01:32,080 --> 00:01:36,040 Speaker 1: are very smart. Just don't go gloating at me, because 26 00:01:36,880 --> 00:01:41,959 Speaker 1: we're not all you. Okay. Now, the word derives from 27 00:01:42,160 --> 00:01:48,280 Speaker 1: the Latin fun guy to perform, So again, nothing to 28 00:01:48,320 --> 00:01:51,160 Speaker 1: do with mushrooms. But you see why I got confused. 29 00:01:51,680 --> 00:01:55,880 Speaker 1: Since about sixty nine, which is when Miriam Webster says 30 00:01:55,920 --> 00:01:59,600 Speaker 1: the earliest found example of the word being used in 31 00:01:59,640 --> 00:02:06,800 Speaker 1: this particular way, fungible means essentially interchangeable. Something is fungible 32 00:02:07,000 --> 00:02:10,880 Speaker 1: if there are lots of it, and one version or 33 00:02:10,919 --> 00:02:13,840 Speaker 1: one instance or one example of it is just as 34 00:02:13,919 --> 00:02:18,960 Speaker 1: good as any other of equal amount, or even if 35 00:02:18,960 --> 00:02:21,560 Speaker 1: you look at parts of a thing, if one part 36 00:02:21,680 --> 00:02:24,919 Speaker 1: of a thing can be exchanged for an equal part 37 00:02:25,320 --> 00:02:30,079 Speaker 1: of that same thing, then it's fungible. So the simplest 38 00:02:30,080 --> 00:02:32,480 Speaker 1: example I can think of is a unit of currency. 39 00:02:32,840 --> 00:02:36,080 Speaker 1: And since I'm American, I'm gonna go with the dollar bill. 40 00:02:37,080 --> 00:02:41,200 Speaker 1: So a dollar bill is worth one dollar or four 41 00:02:41,280 --> 00:02:44,600 Speaker 1: quarters or twenty nickels, or will you get it? So 42 00:02:44,639 --> 00:02:46,880 Speaker 1: if I have a dollar bill and you have a 43 00:02:46,919 --> 00:02:50,360 Speaker 1: dollar bill. We could trade those dollar bills and nothing 44 00:02:50,360 --> 00:02:53,880 Speaker 1: else really changes. We would each still possess a thing 45 00:02:54,080 --> 00:02:57,560 Speaker 1: of the same value as what we had previously. We 46 00:02:57,600 --> 00:03:01,760 Speaker 1: could spend either version of that dollar bill the same way. 47 00:03:01,840 --> 00:03:04,000 Speaker 1: So if we didn't make the trade, if I kept 48 00:03:04,040 --> 00:03:06,640 Speaker 1: my dollar and you kept yours, we could use our 49 00:03:06,639 --> 00:03:10,639 Speaker 1: respective dollars to buy something like chewing gum or something. 50 00:03:11,280 --> 00:03:15,360 Speaker 1: But if instead we had swapped dollars, well, then we 51 00:03:15,440 --> 00:03:19,760 Speaker 1: could still use those swapped dollars to buy our chewing gum. Heck, 52 00:03:19,800 --> 00:03:22,160 Speaker 1: if I had a dollar bill and you had four quarters, 53 00:03:22,560 --> 00:03:25,200 Speaker 1: we could still do this right. We could interchange my 54 00:03:25,280 --> 00:03:29,360 Speaker 1: currency for yours, because from a value perspective, there is 55 00:03:29,440 --> 00:03:33,919 Speaker 1: no difference between my dollar bill and your four coins, 56 00:03:33,960 --> 00:03:38,280 Speaker 1: each worth twenty five cents. And one last example, Let's 57 00:03:38,320 --> 00:03:41,160 Speaker 1: say that I'm a little short on cash and you 58 00:03:41,320 --> 00:03:45,200 Speaker 1: generously lend me five bucks. The next day, I've got 59 00:03:45,280 --> 00:03:48,600 Speaker 1: cash to repay you. Now, you don't care if the 60 00:03:48,680 --> 00:03:53,080 Speaker 1: five dollar bill that you gave me is the same 61 00:03:53,120 --> 00:03:55,200 Speaker 1: as the five dollar bill I give back to you. 62 00:03:55,200 --> 00:03:57,320 Speaker 1: You don't care. If it's the exact same five dollar bill. 63 00:03:57,720 --> 00:04:00,240 Speaker 1: You don't care if I pay you back with five 64 00:04:00,480 --> 00:04:03,560 Speaker 1: one dollar bills. Now, you might be irritated if I 65 00:04:03,640 --> 00:04:06,280 Speaker 1: tried to pay you back and change, but as long 66 00:04:06,320 --> 00:04:08,800 Speaker 1: as the change adds up to five dollars, the actual 67 00:04:08,920 --> 00:04:12,880 Speaker 1: value of the transaction would be the same. The convenience 68 00:04:13,000 --> 00:04:15,400 Speaker 1: it becomes an issue, but let's ignore that for now. 69 00:04:15,800 --> 00:04:18,080 Speaker 1: I mean, heck, if all I had was a ten 70 00:04:18,120 --> 00:04:21,880 Speaker 1: dollar bill, but you happen to have another five dollar bill, 71 00:04:22,360 --> 00:04:25,000 Speaker 1: I could give you the ten dollars that I had, 72 00:04:25,480 --> 00:04:27,960 Speaker 1: you'd give me the five dollar bill you had. And 73 00:04:28,000 --> 00:04:31,640 Speaker 1: now we're square, right, because I returned the five dollars 74 00:04:31,680 --> 00:04:34,640 Speaker 1: I owed you, and then you squared off the extra 75 00:04:34,760 --> 00:04:36,800 Speaker 1: five dollars I gave you in the form of that 76 00:04:36,839 --> 00:04:40,359 Speaker 1: ten dollar bill. The fungibility of currency means that any 77 00:04:40,560 --> 00:04:44,400 Speaker 1: version of this transaction is fine because the value of 78 00:04:44,440 --> 00:04:48,080 Speaker 1: the exchange remains the same. Other stuff that can count 79 00:04:48,120 --> 00:04:52,320 Speaker 1: as fungible includes commodities, you know, like lumber. Barring any 80 00:04:52,320 --> 00:04:55,640 Speaker 1: clear differences in quality, one amount of a commodity is 81 00:04:55,720 --> 00:04:59,160 Speaker 1: roughly equal to the same amount of that commodity. Usually, 82 00:05:00,000 --> 00:05:02,600 Speaker 1: even if the samples were taken from totally different sources, 83 00:05:02,640 --> 00:05:06,240 Speaker 1: there's no practical difference between them. So it's a very 84 00:05:06,279 --> 00:05:09,480 Speaker 1: pragmatic way to go about things. You know, that pile 85 00:05:09,520 --> 00:05:11,960 Speaker 1: of lumber is just as good as that other pile 86 00:05:12,040 --> 00:05:14,200 Speaker 1: of lumber, you might think. Now, sure, if you were 87 00:05:14,240 --> 00:05:17,719 Speaker 1: to get down to details, like the really fine stuff, 88 00:05:17,960 --> 00:05:21,039 Speaker 1: there's going to be differences. But at scale it sort 89 00:05:21,040 --> 00:05:24,880 Speaker 1: of is a wash from a pragmatic standpoint. So what 90 00:05:25,080 --> 00:05:28,880 Speaker 1: does non fungible mean. Well, as the non tells us, 91 00:05:28,960 --> 00:05:32,200 Speaker 1: it's the opposite of fungible. So it's something that is 92 00:05:32,240 --> 00:05:37,000 Speaker 1: not interchangeable with something else, like a car, for example. 93 00:05:37,440 --> 00:05:40,680 Speaker 1: So let's say you own a nineteen fifty nine Cadillac 94 00:05:40,800 --> 00:05:44,960 Speaker 1: Fleetwood Series and I also happened to own one of 95 00:05:45,000 --> 00:05:48,040 Speaker 1: those as well. Now, first of all, you've got yourself 96 00:05:48,080 --> 00:05:51,159 Speaker 1: a sweet ride that you probably can't park anywhere because 97 00:05:51,160 --> 00:05:54,159 Speaker 1: it's not so much a car, it's really a space station. 98 00:05:54,720 --> 00:05:57,480 Speaker 1: I mean, that sucker is huge. But I'm getting off track. 99 00:05:58,279 --> 00:06:02,040 Speaker 1: Our respective cars are non fungible. Even though they are 100 00:06:02,160 --> 00:06:05,400 Speaker 1: the same year, the same make, the same model. We 101 00:06:05,440 --> 00:06:08,680 Speaker 1: wouldn't just interchange them. We wouldn't just swap them back 102 00:06:08,720 --> 00:06:11,039 Speaker 1: and forth. I mean, there are many other factors that 103 00:06:11,080 --> 00:06:14,560 Speaker 1: determine the actual value of a car. How much has 104 00:06:14,560 --> 00:06:17,760 Speaker 1: each car been driven how many parts are original to 105 00:06:17,800 --> 00:06:20,920 Speaker 1: the car, what condition is the car in and its parts? 106 00:06:21,560 --> 00:06:25,000 Speaker 1: Has either of those cars been in any accidents? Did 107 00:06:25,040 --> 00:06:27,200 Speaker 1: one of them serve as the vehicle for Doc Hopper, 108 00:06:27,320 --> 00:06:29,440 Speaker 1: the bad guy in the Muppet movie. All of these 109 00:06:29,440 --> 00:06:31,880 Speaker 1: sort of things affect the value of the car, and 110 00:06:31,920 --> 00:06:35,680 Speaker 1: so these two cars, while possessing lots of similarities, are 111 00:06:35,800 --> 00:06:39,560 Speaker 1: not interchangeable. And to go back to the lending example, 112 00:06:39,920 --> 00:06:42,600 Speaker 1: let's say you are a very kind person and you 113 00:06:42,680 --> 00:06:45,120 Speaker 1: lend me your car, despite the fact that you know 114 00:06:45,160 --> 00:06:48,200 Speaker 1: I don't actually drive, But for this example, we'll say 115 00:06:48,320 --> 00:06:51,240 Speaker 1: that I do so for a week you lend me 116 00:06:51,320 --> 00:06:54,240 Speaker 1: your car. It would not be acceptable for me to 117 00:06:54,320 --> 00:06:57,400 Speaker 1: return a car that was different from the one you 118 00:06:57,520 --> 00:07:00,719 Speaker 1: lent me. Even if the car I brought back was 119 00:07:00,800 --> 00:07:03,480 Speaker 1: the same year, the same make, and the same model 120 00:07:03,600 --> 00:07:07,040 Speaker 1: as the car you lent me. It's not your car. 121 00:07:07,720 --> 00:07:10,680 Speaker 1: That's a problem. You would probably have some choice words 122 00:07:10,720 --> 00:07:12,160 Speaker 1: for me if I tried to pull that kind of 123 00:07:12,200 --> 00:07:15,720 Speaker 1: stunt and me, well, I'd be like, huh, you know 124 00:07:16,720 --> 00:07:19,840 Speaker 1: that is weird. Where did I even get this car? 125 00:07:20,360 --> 00:07:24,760 Speaker 1: And fungibility does admittedly get a bit fuzzy because the 126 00:07:24,800 --> 00:07:30,000 Speaker 1: line between fungibility and non fungibility isn't always easily distinguishable. 127 00:07:30,160 --> 00:07:34,120 Speaker 1: For example, let's take gold. Now, in general, gold is 128 00:07:34,160 --> 00:07:38,640 Speaker 1: considered a fungible commodity. If you pan for gold and 129 00:07:38,680 --> 00:07:41,680 Speaker 1: you end up with half an ounce of gold, that way, 130 00:07:41,720 --> 00:07:44,480 Speaker 1: that's worth the same as a half ounce of gold 131 00:07:44,600 --> 00:07:48,600 Speaker 1: in any other format, whether it's a nugget or dust 132 00:07:49,120 --> 00:07:51,840 Speaker 1: or a teeny tiny piece off a gold bar or whatever. 133 00:07:52,360 --> 00:07:54,680 Speaker 1: One bit of gold is worth the same as an 134 00:07:54,680 --> 00:07:58,720 Speaker 1: equivalent amount of that gold, assuming that other things are 135 00:07:58,800 --> 00:08:01,640 Speaker 1: the same, like the pure pity of the gold is 136 00:08:01,680 --> 00:08:05,520 Speaker 1: the same. That does account for differences in value. But 137 00:08:05,600 --> 00:08:08,920 Speaker 1: let's say that you go to the Federal Reserve Bank 138 00:08:09,040 --> 00:08:12,600 Speaker 1: in New York City. Maybe you're the sibling of a 139 00:08:12,640 --> 00:08:15,840 Speaker 1: thief who had a really unsuccessful run at Nakatomi Plaza 140 00:08:16,240 --> 00:08:19,640 Speaker 1: and you want to clear out the Federal Reserve. Now, 141 00:08:19,680 --> 00:08:22,640 Speaker 1: this bank stores gold in an underground vault, and it 142 00:08:22,680 --> 00:08:25,960 Speaker 1: holds it on behalf of financial institutions from all over 143 00:08:26,000 --> 00:08:29,840 Speaker 1: the world. Each gold bar has a serial number that 144 00:08:29,920 --> 00:08:33,720 Speaker 1: identifies that gold bar and to whom that gold bar belongs. 145 00:08:34,320 --> 00:08:38,000 Speaker 1: These serial numbers correspond with ledgers, and those ledgers are 146 00:08:38,040 --> 00:08:41,720 Speaker 1: a complete record of which gold bars belong to which 147 00:08:41,760 --> 00:08:44,880 Speaker 1: financial institutions, and in this case, the gold bars are 148 00:08:44,880 --> 00:08:48,640 Speaker 1: measured with incredible precision to determine their weight and purity, 149 00:08:48,800 --> 00:08:52,000 Speaker 1: which means each gold bar has its own distinct value. 150 00:08:52,360 --> 00:08:55,400 Speaker 1: And it also means you can't just swap the bars around. 151 00:08:55,520 --> 00:08:58,240 Speaker 1: You couldn't turn to Liechtenstein and say, okay, so you 152 00:08:58,280 --> 00:09:00,520 Speaker 1: want five gold bars and you just grab any five 153 00:09:00,600 --> 00:09:03,200 Speaker 1: off the vault shelves. You would have to retrieve the 154 00:09:03,280 --> 00:09:07,920 Speaker 1: specific bars indicated by whichever client you're talking to, because 155 00:09:07,960 --> 00:09:11,320 Speaker 1: each bar would have a specific value that could vary 156 00:09:11,360 --> 00:09:14,000 Speaker 1: a little bit or maybe even a lot from other 157 00:09:14,080 --> 00:09:16,440 Speaker 1: bars that are in the vault. So this type of 158 00:09:16,559 --> 00:09:21,240 Speaker 1: gold bar is not fungible. Okay, but what does all 159 00:09:21,280 --> 00:09:24,160 Speaker 1: this have to do with digital goods. Let's consider the 160 00:09:24,280 --> 00:09:28,000 Speaker 1: nature of digital stuff for a bit. One of the 161 00:09:28,120 --> 00:09:31,800 Speaker 1: big differences between digital and physical goods is the ease 162 00:09:31,880 --> 00:09:35,680 Speaker 1: of replication and distribution. This is something that has been 163 00:09:35,760 --> 00:09:39,200 Speaker 1: an enormous issue in the business world, and it's something 164 00:09:39,240 --> 00:09:42,440 Speaker 1: that we see prompting big companies to overreact in ways 165 00:09:42,480 --> 00:09:47,400 Speaker 1: that range from bewildering, too, incredibly negligent and beyond. So 166 00:09:47,480 --> 00:09:51,760 Speaker 1: let's consider a few examples. Essentially, whenever a technology comes 167 00:09:51,800 --> 00:09:55,079 Speaker 1: along that allows the common folk you know, like me, 168 00:09:55,720 --> 00:09:59,120 Speaker 1: to copy stuff, well, big companies get ants in their bridges. 169 00:09:59,520 --> 00:10:01,559 Speaker 1: If you want to go all economic thought on this, 170 00:10:01,920 --> 00:10:04,839 Speaker 1: it's all about the means of production and who has 171 00:10:04,920 --> 00:10:08,080 Speaker 1: access to them. In a capitalist society, the means of 172 00:10:08,080 --> 00:10:10,800 Speaker 1: production are in the hands of private individuals and companies 173 00:10:11,000 --> 00:10:13,880 Speaker 1: who then may profit off the stuff that they produce. 174 00:10:14,200 --> 00:10:17,440 Speaker 1: And that totally makes sense, right you make something, you 175 00:10:17,440 --> 00:10:20,160 Speaker 1: can profit off of that something if someone else wants 176 00:10:20,200 --> 00:10:22,040 Speaker 1: to buy it. And of course, in the world we 177 00:10:22,080 --> 00:10:23,960 Speaker 1: live in, a lot of the stuff we can buy 178 00:10:24,080 --> 00:10:27,000 Speaker 1: comes from really big companies that are churning out products 179 00:10:27,040 --> 00:10:31,120 Speaker 1: at an enormous scale. So when tech comes around that 180 00:10:31,160 --> 00:10:35,520 Speaker 1: can make copies of stuff, that scares these companies. One 181 00:10:35,600 --> 00:10:38,199 Speaker 1: thing big companies do not like to see for some 182 00:10:38,280 --> 00:10:41,600 Speaker 1: reason are things that can make their numbers next to 183 00:10:41,679 --> 00:10:45,880 Speaker 1: profit go down on a spreadsheet. And if a technology 184 00:10:45,920 --> 00:10:50,040 Speaker 1: allows people to copy stuff rather than buy things from 185 00:10:50,080 --> 00:10:53,199 Speaker 1: a company, that's a potential hit to the bottom line. 186 00:10:53,440 --> 00:10:56,040 Speaker 1: And we've seen this over and over from the first 187 00:10:56,080 --> 00:10:58,920 Speaker 1: cassette tape and audio recorders that made it possible to 188 00:10:59,000 --> 00:11:03,800 Speaker 1: duplicate music abums, to VCRs that created a home theater industry, 189 00:11:04,080 --> 00:11:07,200 Speaker 1: to the MP three format, to peer to peer networks 190 00:11:07,200 --> 00:11:11,000 Speaker 1: that facilitated file transfers. In each of these cases, big 191 00:11:11,160 --> 00:11:15,360 Speaker 1: established industries like movie studios, television studios, and music labels 192 00:11:15,600 --> 00:11:19,280 Speaker 1: have lobbied governments to come up with increasingly harsh penalties 193 00:11:19,280 --> 00:11:23,400 Speaker 1: that target people who are creating unauthorized copies of work, 194 00:11:23,679 --> 00:11:27,600 Speaker 1: so in other words, making copies of stuff without permission. Now, 195 00:11:27,640 --> 00:11:29,920 Speaker 1: in most of these cases, it turned out that the 196 00:11:29,960 --> 00:11:34,000 Speaker 1: concerns were largely unwarranted. Yes, the ability to copy stuff 197 00:11:34,040 --> 00:11:37,120 Speaker 1: can be scary, but the real issue was that these 198 00:11:37,200 --> 00:11:40,280 Speaker 1: very big companies that got accustomed to the industry working 199 00:11:40,320 --> 00:11:44,280 Speaker 1: a certain way, we're not ready for changes. When those 200 00:11:44,360 --> 00:11:48,640 Speaker 1: changes happened, eventually, these same companies found new ways to 201 00:11:48,720 --> 00:11:51,880 Speaker 1: do business that were just as if not more profitable, 202 00:11:51,920 --> 00:11:55,800 Speaker 1: than previous methods. Movie and TV studios hated the idea 203 00:11:55,880 --> 00:11:58,439 Speaker 1: of VCRs when they first came out when VCRs had 204 00:11:58,440 --> 00:12:02,400 Speaker 1: home recording capabilities, but this eventually gave birth to the 205 00:12:02,440 --> 00:12:05,880 Speaker 1: home video industry, and those same companies found out that 206 00:12:05,920 --> 00:12:08,680 Speaker 1: the properties they owned, many of which had laid dormant 207 00:12:08,720 --> 00:12:11,960 Speaker 1: in storage because there was no place to exhibit them. 208 00:12:12,080 --> 00:12:15,800 Speaker 1: Suddenly that represented a new stream of revenue. Music labels 209 00:12:15,800 --> 00:12:19,280 Speaker 1: discovered first the lucrative market of MP three stores, and 210 00:12:19,360 --> 00:12:22,840 Speaker 1: later the potentially even more lucrative market of streaming audio, 211 00:12:23,240 --> 00:12:27,080 Speaker 1: which hey represented the best of all worlds because with streaming, 212 00:12:27,120 --> 00:12:30,319 Speaker 1: the end customer never actually owns a copy of the work, 213 00:12:30,640 --> 00:12:34,080 Speaker 1: They just have permission to experience the work by streaming 214 00:12:34,080 --> 00:12:36,200 Speaker 1: it to wherever they happened to be in a given moment. 215 00:12:36,800 --> 00:12:39,959 Speaker 1: On top of all that, the entertainment industry would claim 216 00:12:40,040 --> 00:12:44,200 Speaker 1: that any unauthorized download represents a monetary loss, which was 217 00:12:44,280 --> 00:12:47,959 Speaker 1: something that just wasn't supportable. Here's how the argument goes. 218 00:12:48,360 --> 00:12:52,400 Speaker 1: Company A produces some form of digital entertainment. Let's say 219 00:12:52,480 --> 00:12:57,320 Speaker 1: it's an album from a popular performer. Pirate B decides 220 00:12:57,360 --> 00:13:01,840 Speaker 1: to download an unauthorized copy of that album. Now, Company 221 00:13:01,880 --> 00:13:04,840 Speaker 1: A claims that they have experienced a loss, that Pirate 222 00:13:04,920 --> 00:13:09,320 Speaker 1: B has stolen something from Company A. But here's the thing. 223 00:13:09,760 --> 00:13:13,480 Speaker 1: It's a digital copy. The original file is still with 224 00:13:13,559 --> 00:13:17,160 Speaker 1: Company A. It's not like pirate be hacked into the 225 00:13:17,160 --> 00:13:21,040 Speaker 1: company's database and removed a file so that that file 226 00:13:21,200 --> 00:13:24,960 Speaker 1: is no longer there. The original file still exists, the 227 00:13:25,120 --> 00:13:28,800 Speaker 1: Company A can still sell copies of that file off 228 00:13:28,800 --> 00:13:32,840 Speaker 1: to customers, so Company A hasn't lost a product. If 229 00:13:32,880 --> 00:13:36,199 Speaker 1: we contrast this with a physical store, a shoplifter does 230 00:13:36,480 --> 00:13:40,640 Speaker 1: cost people money because that shoplifter has taken a physical 231 00:13:40,679 --> 00:13:44,640 Speaker 1: item from the store. The store can't magically reproduce that 232 00:13:44,679 --> 00:13:47,920 Speaker 1: physical item and then sell it off to a legitimate customer. 233 00:13:48,040 --> 00:13:51,160 Speaker 1: That's an actual loss. But with the digital model, the 234 00:13:51,240 --> 00:13:54,800 Speaker 1: same thing doesn't apply. Further, there's no way to argue 235 00:13:54,800 --> 00:13:58,480 Speaker 1: that Pirate B would have ever purchased that album legitimately, 236 00:13:58,840 --> 00:14:01,839 Speaker 1: so Company A can't even really claimed that they lost 237 00:14:01,880 --> 00:14:05,240 Speaker 1: out on a sale because it's entirely possible that if 238 00:14:05,280 --> 00:14:09,240 Speaker 1: Pirate B had never copied the album, that pra B 239 00:14:09,440 --> 00:14:11,480 Speaker 1: just never would have listened to the album at all. 240 00:14:12,000 --> 00:14:15,320 Speaker 1: And someone not buying something is not the same thing 241 00:14:15,720 --> 00:14:18,640 Speaker 1: as someone stealing something. If I walk into a store 242 00:14:19,120 --> 00:14:21,600 Speaker 1: and I look at a new computer, but I decide 243 00:14:21,880 --> 00:14:24,440 Speaker 1: I don't really need this right now, and I walk out, 244 00:14:24,720 --> 00:14:29,400 Speaker 1: I haven't stolen anything. I haven't cost the company a sale. 245 00:14:29,800 --> 00:14:32,600 Speaker 1: I just didn't decide to buy it. So even the 246 00:14:32,720 --> 00:14:36,920 Speaker 1: US government's Accountability Office concluded that media companies were going 247 00:14:37,000 --> 00:14:40,400 Speaker 1: way too far, with various claims of loss in numerous 248 00:14:40,440 --> 00:14:44,680 Speaker 1: lawsuits filed against people who had downloaded music without authorization. 249 00:14:45,240 --> 00:14:49,600 Speaker 1: Some of those cases were ludicrously vengeful, with studios seeking 250 00:14:49,760 --> 00:14:53,440 Speaker 1: hundreds of thousands of dollars and damages against folks who 251 00:14:53,440 --> 00:14:56,760 Speaker 1: had maybe downloaded a few songs. And the point is 252 00:14:57,080 --> 00:14:59,800 Speaker 1: that these arguments that the studios were making just weren't 253 00:14:59,840 --> 00:15:02,760 Speaker 1: so portable. But even though the arguments didn't hold water, 254 00:15:03,360 --> 00:15:07,920 Speaker 1: they do point to a problem. Digital goods have value, 255 00:15:08,280 --> 00:15:12,360 Speaker 1: that is clear. I mean people want them, so there 256 00:15:12,520 --> 00:15:16,120 Speaker 1: is value to those digital goods. And digital goods are 257 00:15:16,160 --> 00:15:20,760 Speaker 1: also replicable. It's easy to make copies of files. But 258 00:15:21,000 --> 00:15:23,520 Speaker 1: what if you wanted to buy the equivalent of an 259 00:15:23,520 --> 00:15:26,520 Speaker 1: autographed version of a digital piece of art. Maybe you 260 00:15:26,560 --> 00:15:30,320 Speaker 1: want to support a specific artist, maybe you're kind of 261 00:15:30,320 --> 00:15:34,560 Speaker 1: a digital collector. How would you even go about doing that? 262 00:15:34,640 --> 00:15:37,240 Speaker 1: I mean, what does that mean? In a world where 263 00:15:37,280 --> 00:15:41,760 Speaker 1: these files can just be replicated in too infinity? I mean, 264 00:15:43,440 --> 00:15:45,320 Speaker 1: how would you do it? Well? N f T s 265 00:15:45,600 --> 00:15:49,640 Speaker 1: are a way to establish who ultimately has ownership of 266 00:15:49,680 --> 00:15:54,760 Speaker 1: a unique, but not necessarily the original digital item, even 267 00:15:54,800 --> 00:15:57,880 Speaker 1: if there are millions of copies of that digital item 268 00:15:57,960 --> 00:16:01,720 Speaker 1: floating around. When we come back, will explain the backbone 269 00:16:01,840 --> 00:16:05,200 Speaker 1: of what makes this possible. But first, let's take a 270 00:16:05,280 --> 00:16:16,040 Speaker 1: quick break. All right, so we've covered how digital goods 271 00:16:16,160 --> 00:16:19,320 Speaker 1: present a challenge or a few challenges. How do you 272 00:16:19,360 --> 00:16:22,120 Speaker 1: control supply of a digital good? And sure, the thought 273 00:16:22,120 --> 00:16:24,720 Speaker 1: of controlling supply sounds a bit gross because you could 274 00:16:24,720 --> 00:16:26,800 Speaker 1: flip that on its head and say, how do you 275 00:16:26,880 --> 00:16:30,600 Speaker 1: limit access to something? But we have to remember that 276 00:16:30,680 --> 00:16:35,080 Speaker 1: creating stuff requires effort and skill. Creating something means that 277 00:16:35,280 --> 00:16:40,000 Speaker 1: someone somewhere spent time and utilize their talent in order 278 00:16:40,040 --> 00:16:43,640 Speaker 1: to do it. Presumably they should receive something in return 279 00:16:43,960 --> 00:16:47,800 Speaker 1: if other people want to access that work. Now, if 280 00:16:47,840 --> 00:16:50,000 Speaker 1: we all lived in the start Trek universe, where we 281 00:16:50,120 --> 00:16:53,440 Speaker 1: learned that money is no longer a concern because scarcity 282 00:16:53,560 --> 00:16:56,640 Speaker 1: doesn't exist, and so everyone can do whatever they want 283 00:16:56,680 --> 00:16:59,960 Speaker 1: whenever they want because they like to do it, well, 284 00:17:00,000 --> 00:17:02,560 Speaker 1: we would be having a different conversation. But instead, we 285 00:17:02,600 --> 00:17:04,400 Speaker 1: live in a world where we need to be able 286 00:17:04,440 --> 00:17:07,960 Speaker 1: to pay for stuff like rent, food, and medical bills 287 00:17:07,960 --> 00:17:10,640 Speaker 1: and whatnot, and we have a limited number of hours 288 00:17:10,680 --> 00:17:13,920 Speaker 1: in our lifetimes and being able to earn money from 289 00:17:13,960 --> 00:17:17,240 Speaker 1: spending some of those hours in our lives in ways that, 290 00:17:17,400 --> 00:17:21,040 Speaker 1: if we're lucky, are both fulfilling and profitable. That's a 291 00:17:21,080 --> 00:17:25,720 Speaker 1: big deal. But the digital world makes this challenging. It's 292 00:17:25,760 --> 00:17:29,080 Speaker 1: why we have processes like d m c A takedowns, 293 00:17:29,119 --> 00:17:33,440 Speaker 1: which can also sometimes get more than a bit overreactive. Ideally, 294 00:17:33,680 --> 00:17:35,680 Speaker 1: you would use a d m c A takedown to 295 00:17:35,760 --> 00:17:39,879 Speaker 1: stop someone from publishing or sharing your work without your authorization, 296 00:17:40,200 --> 00:17:43,560 Speaker 1: but of course some rights holders overstepped and will issue 297 00:17:43,600 --> 00:17:46,639 Speaker 1: takedown notices when someone is making fair use of work. 298 00:17:47,040 --> 00:17:50,679 Speaker 1: But that's a topic for another episode. Another approach to 299 00:17:50,680 --> 00:17:54,760 Speaker 1: protecting digital works is the dreaded digital rights management or 300 00:17:54,840 --> 00:17:58,800 Speaker 1: DRM category. The purpose of DRM is to limit how 301 00:17:58,840 --> 00:18:02,640 Speaker 1: a work can be copy and or distribute it. Sometimes 302 00:18:02,880 --> 00:18:06,479 Speaker 1: it involves including code in a digital product that limits 303 00:18:06,520 --> 00:18:09,280 Speaker 1: the number of devices that can have access to that 304 00:18:09,400 --> 00:18:13,160 Speaker 1: digital work. For example, you might purchase a game from 305 00:18:13,160 --> 00:18:16,040 Speaker 1: an online store and then see that you are authorized 306 00:18:16,040 --> 00:18:19,240 Speaker 1: to install that game on up to say three devices, 307 00:18:19,680 --> 00:18:22,560 Speaker 1: and furthermore, you might be limited on how many devices 308 00:18:22,560 --> 00:18:25,440 Speaker 1: can access that digital work at a given time, so 309 00:18:25,480 --> 00:18:28,240 Speaker 1: that if you are running an instance of a game 310 00:18:28,520 --> 00:18:32,880 Speaker 1: on one machine, you cannot launch that same game on 311 00:18:32,960 --> 00:18:36,960 Speaker 1: another machine while that first instance is still going. But 312 00:18:37,040 --> 00:18:39,960 Speaker 1: DRM can lead to a lot of problems. For one thing, 313 00:18:40,119 --> 00:18:43,040 Speaker 1: sometimes companies will employ measures that make it really hard 314 00:18:43,240 --> 00:18:47,040 Speaker 1: for legitimate customers to actually consume the digital work that 315 00:18:47,080 --> 00:18:50,480 Speaker 1: they have purchased. So let's say I've made a legitimate 316 00:18:50,480 --> 00:18:53,680 Speaker 1: purchase of a music album using my phone, and now 317 00:18:53,720 --> 00:18:55,679 Speaker 1: I've decided I want to listen to this album on 318 00:18:55,720 --> 00:18:58,199 Speaker 1: my digital sound system so that I can enjoy it 319 00:18:58,240 --> 00:19:01,040 Speaker 1: on a really good audio system. I want to transfer 320 00:19:01,160 --> 00:19:03,280 Speaker 1: the file to the sound system. I don't want to 321 00:19:03,320 --> 00:19:06,560 Speaker 1: just cast it from my phone. I might find that 322 00:19:06,600 --> 00:19:08,960 Speaker 1: transferring the file over so that I can listen to 323 00:19:09,040 --> 00:19:11,639 Speaker 1: it on the sound system is a huge hassle. I 324 00:19:11,720 --> 00:19:14,200 Speaker 1: might have to jump through numerous hoops just to get 325 00:19:14,200 --> 00:19:17,240 Speaker 1: it to work. Now, this is incredibly frustrating, and it 326 00:19:17,280 --> 00:19:19,919 Speaker 1: often leads to old fogies like me saying, you know what, 327 00:19:20,160 --> 00:19:22,600 Speaker 1: in the old days, we just take a Vinyl album. 328 00:19:22,760 --> 00:19:24,600 Speaker 1: It didn't matter if you played it on one turn 329 00:19:24,640 --> 00:19:28,520 Speaker 1: table or the other. It's not fair to compare digital 330 00:19:28,560 --> 00:19:31,440 Speaker 1: and physical media to one another this way, because it's 331 00:19:31,480 --> 00:19:34,720 Speaker 1: not apples to apples. I swear that's not an iPod reference, 332 00:19:34,880 --> 00:19:37,560 Speaker 1: but you get the point. Beyond that, some companies have 333 00:19:37,600 --> 00:19:41,160 Speaker 1: taken DRM to do really stupid stuff. There's the famous 334 00:19:41,160 --> 00:19:45,480 Speaker 1: example of Sony that introduced DRM on c d s, 335 00:19:45,600 --> 00:19:48,480 Speaker 1: and if you inserted the CD into a CD ROM 336 00:19:48,560 --> 00:19:52,560 Speaker 1: drive on a computer, it created a potential back door 337 00:19:52,720 --> 00:19:56,119 Speaker 1: for someone else to gain access to your computer. Sony 338 00:19:56,200 --> 00:20:00,679 Speaker 1: ended up paying dearly for that mistake. So DRM can 339 00:20:00,720 --> 00:20:04,280 Speaker 1: actually push some people who would be legitimate customers of 340 00:20:04,320 --> 00:20:07,760 Speaker 1: a product into piracy because one of the things we 341 00:20:07,800 --> 00:20:11,560 Speaker 1: frequently see in online piracy is that hackers will find 342 00:20:11,640 --> 00:20:15,719 Speaker 1: ways to strip DRM from digital works. Now, this streamlines 343 00:20:15,760 --> 00:20:19,080 Speaker 1: the experience of actually using the digital works, and so 344 00:20:19,160 --> 00:20:22,000 Speaker 1: there's a case to be made that using certain strategies 345 00:20:22,040 --> 00:20:26,480 Speaker 1: to protect digital works actually creates the incentive that pushes 346 00:20:26,520 --> 00:20:30,879 Speaker 1: people towards piracy. It's complicated stuff beyond that, how do 347 00:20:30,920 --> 00:20:35,720 Speaker 1: you determine who owns a specific instance of a digital work? 348 00:20:36,080 --> 00:20:40,119 Speaker 1: If it's something that's replicable and easily distributable, how do 349 00:20:40,160 --> 00:20:43,240 Speaker 1: you ascertain who owns it? And how do you have 350 00:20:43,640 --> 00:20:46,640 Speaker 1: a tracking system to track the transfer of ownership from 351 00:20:46,640 --> 00:20:49,359 Speaker 1: one party to another. Well, there is a solution to 352 00:20:49,400 --> 00:20:52,960 Speaker 1: that problem, and it depends upon a system that was 353 00:20:53,040 --> 00:20:57,560 Speaker 1: developed largely in tune with cryptocurrency. So let's go back 354 00:20:57,600 --> 00:21:00,399 Speaker 1: to the world of physical currency first. If we're talking 355 00:21:00,480 --> 00:21:04,920 Speaker 1: actual physical currency of notes and coins and whatnot, we've 356 00:21:04,960 --> 00:21:08,240 Speaker 1: got a big requirement to make that currency work. Actually, 357 00:21:08,240 --> 00:21:10,600 Speaker 1: we've got a lot of requirements, but one of the 358 00:21:10,640 --> 00:21:12,359 Speaker 1: big ones is that we need to make sure that 359 00:21:12,400 --> 00:21:17,199 Speaker 1: the average person cannot easily duplicate currency. We need that 360 00:21:17,280 --> 00:21:21,520 Speaker 1: currency protected against counterfeiting. Otherwise, someone with the means would 361 00:21:21,520 --> 00:21:23,560 Speaker 1: just create a whole bunch of fake cash and use 362 00:21:23,600 --> 00:21:25,879 Speaker 1: it to stand in for the real thing. This causes 363 00:21:26,080 --> 00:21:29,080 Speaker 1: all sorts of huge problems, from leading to losses at 364 00:21:29,080 --> 00:21:31,680 Speaker 1: the point of purchase all the way to undermining confidence 365 00:21:31,720 --> 00:21:36,440 Speaker 1: in the financial systems that support an entire economic system 366 00:21:36,680 --> 00:21:38,879 Speaker 1: like a country. And there are a lot of different 367 00:21:38,920 --> 00:21:41,919 Speaker 1: protections that go into physical currency. There are special inks, 368 00:21:42,280 --> 00:21:47,639 Speaker 1: special materials for notes, they're special water marks, serial numbers, 369 00:21:47,680 --> 00:21:50,120 Speaker 1: all these kind of things. These are all elements that 370 00:21:50,240 --> 00:21:53,440 Speaker 1: help protect against counterfeiting and make it easier for people 371 00:21:53,480 --> 00:21:56,280 Speaker 1: to spot a fake before someone can pass it off 372 00:21:56,280 --> 00:21:59,439 Speaker 1: as the real thing. And obviously we've gotten better at 373 00:21:59,480 --> 00:22:03,680 Speaker 1: creating or sophisticated protections. These don't guarantee that someone won't 374 00:22:03,680 --> 00:22:06,359 Speaker 1: come up with a counterfeiting process, but they raise the 375 00:22:06,480 --> 00:22:09,080 Speaker 1: level of difficulty to a point where it's really, really 376 00:22:09,080 --> 00:22:12,040 Speaker 1: hard to do. And if you make something hard enough, 377 00:22:12,440 --> 00:22:15,080 Speaker 1: that means that if you do want to do it, 378 00:22:15,080 --> 00:22:18,120 Speaker 1: it's going to be really expensive. So if it's so 379 00:22:18,160 --> 00:22:20,560 Speaker 1: expensive that you're not likely to be able to pay 380 00:22:20,600 --> 00:22:23,760 Speaker 1: off the method you used to do the illegal thing, 381 00:22:24,200 --> 00:22:25,760 Speaker 1: you're not going to do the illegal thing. It just 382 00:22:25,800 --> 00:22:29,080 Speaker 1: doesn't make It's a it's a bad return on investment, right. 383 00:22:29,400 --> 00:22:32,879 Speaker 1: So that's one way to protect against counterfeiting. Just make 384 00:22:32,920 --> 00:22:38,040 Speaker 1: it super hard to do. Well. That's physical money. Cryptocurrency, 385 00:22:38,280 --> 00:22:42,080 Speaker 1: being digital, needs some similar protections. It needs the digital 386 00:22:42,080 --> 00:22:45,720 Speaker 1: equivalent of that special blend of paper and cloth that 387 00:22:45,840 --> 00:22:49,080 Speaker 1: dollar bills have, or the serial number, or the ink 388 00:22:49,200 --> 00:22:52,040 Speaker 1: or transparent pains within the note, or whatever it might be. 389 00:22:52,280 --> 00:22:57,399 Speaker 1: It needs a way to protect against duplication. Otherwise you 390 00:22:57,480 --> 00:23:00,920 Speaker 1: might grab a bitcoin through some means, maybe you've purchased one, 391 00:23:01,040 --> 00:23:04,080 Speaker 1: maybe you mind it, whatever, Then you might copy it 392 00:23:04,160 --> 00:23:07,879 Speaker 1: a billion times and either become a billionaire or more likely, 393 00:23:07,960 --> 00:23:11,320 Speaker 1: crash the value of the cryptocurrency beyond repair. If you 394 00:23:11,320 --> 00:23:14,240 Speaker 1: could find a way to duplicate bitcoin, then the entire 395 00:23:14,280 --> 00:23:16,959 Speaker 1: system falls apart because no one would ever know if 396 00:23:17,000 --> 00:23:20,320 Speaker 1: a bitcoin is quote unquote real or a duplicate. It's 397 00:23:20,320 --> 00:23:22,600 Speaker 1: already digital, which gives people a sense that it's not 398 00:23:22,680 --> 00:23:26,040 Speaker 1: quote unquote real to start off with. But digital goods 399 00:23:26,080 --> 00:23:28,560 Speaker 1: do have value as long as people have a desire 400 00:23:28,760 --> 00:23:32,800 Speaker 1: for those digital goods. A digital good is only worthless 401 00:23:33,000 --> 00:23:35,879 Speaker 1: if literally no one wants it, and at least no 402 00:23:35,880 --> 00:23:38,360 Speaker 1: one wants it enough to spend money or effort at 403 00:23:38,400 --> 00:23:43,400 Speaker 1: getting it. How then, do cryptocurrencies avoid duplication? How can 404 00:23:43,440 --> 00:23:46,359 Speaker 1: bitcoin make certain that someone doesn't try and spend the 405 00:23:46,400 --> 00:23:50,480 Speaker 1: same virtual coin more than once. This is where blockchain 406 00:23:50,600 --> 00:23:53,439 Speaker 1: comes into play, and it's important to note right off 407 00:23:53,480 --> 00:23:57,119 Speaker 1: the bat that blockchain and bitcoin are not synonymous. Heck, 408 00:23:57,400 --> 00:24:02,359 Speaker 1: blockchain and cryptocurrency aren't son onymous. Bitcoin depends upon the 409 00:24:02,400 --> 00:24:05,600 Speaker 1: technology of blockchain, but blockchain can apply to lots of 410 00:24:05,600 --> 00:24:10,199 Speaker 1: different types of transactions, not just bitcoin or cryptocurrency in general. 411 00:24:10,359 --> 00:24:12,960 Speaker 1: But let's get into how it works, because man, this 412 00:24:13,080 --> 00:24:16,879 Speaker 1: technology is one that is a challenge for people to understand. 413 00:24:17,359 --> 00:24:19,840 Speaker 1: We're going to use bitcoin as an example for this 414 00:24:19,920 --> 00:24:23,159 Speaker 1: because it's arguably the most well known, at least on 415 00:24:23,200 --> 00:24:27,359 Speaker 1: a surface level of An example of this technology. At 416 00:24:27,400 --> 00:24:30,399 Speaker 1: the heart of the matter is a ledger. This is 417 00:24:30,440 --> 00:24:35,040 Speaker 1: a record of every single transaction made within the bitcoin 418 00:24:35,200 --> 00:24:38,760 Speaker 1: system and every node in that system, that is, every 419 00:24:38,760 --> 00:24:43,120 Speaker 1: computer or computer network. It's a point of contact. All 420 00:24:43,160 --> 00:24:46,040 Speaker 1: of them have access to seeing this ledger. It is 421 00:24:46,080 --> 00:24:50,840 Speaker 1: a universal ledger that everyone has access to. The ledger 422 00:24:50,880 --> 00:24:55,400 Speaker 1: broadcasts each and every transaction that occurs within the system. 423 00:24:55,440 --> 00:24:58,920 Speaker 1: The nodes, as in those points of contact, then decide 424 00:24:58,960 --> 00:25:02,640 Speaker 1: the order in which the transactions occur. They agree upon this, 425 00:25:03,200 --> 00:25:06,240 Speaker 1: and that last bit is a really critical piece. Not 426 00:25:06,440 --> 00:25:10,080 Speaker 1: all digital currencies rely on blockchain. Some are controlled by 427 00:25:10,080 --> 00:25:15,320 Speaker 1: financial institutions like banks. These institutions step into arbitrate issues, 428 00:25:15,440 --> 00:25:18,439 Speaker 1: such as if there's a payment dispute. But because the 429 00:25:18,480 --> 00:25:20,720 Speaker 1: banks have to do this, they have to act as 430 00:25:20,760 --> 00:25:23,760 Speaker 1: an arbiter. These same banks tend to have a lot 431 00:25:23,760 --> 00:25:26,679 Speaker 1: of fees for customers to pay but to cover the 432 00:25:26,760 --> 00:25:30,600 Speaker 1: cost of being an arbiter. Also, the process moves rather slowly. 433 00:25:30,920 --> 00:25:35,840 Speaker 1: The blockchain approach replaces everything with cryptographic evidence, and the 434 00:25:35,920 --> 00:25:40,280 Speaker 1: nodes agree on what evidence actually is. So let's say 435 00:25:40,320 --> 00:25:42,200 Speaker 1: that I have a bitcoin and I want to buy 436 00:25:42,240 --> 00:25:44,960 Speaker 1: something with it. Here's the fun part. When I started 437 00:25:45,000 --> 00:25:48,560 Speaker 1: researching this episode, a bitcoin's value was around fifty seven 438 00:25:48,600 --> 00:25:52,119 Speaker 1: thousand U S. Dollars. Side note, as I record this 439 00:25:52,359 --> 00:25:55,680 Speaker 1: is closer to fifty dollars either way, I guess I'm 440 00:25:55,680 --> 00:25:58,159 Speaker 1: buying a car with it. So I plopped down my 441 00:25:58,200 --> 00:26:01,919 Speaker 1: bitcoin digitally speaking, and I purchase a brand new Tesla 442 00:26:02,040 --> 00:26:04,920 Speaker 1: Model three, which means I should actually get some change 443 00:26:04,920 --> 00:26:07,720 Speaker 1: back on that deal, because I think a fully kitted 444 00:26:07,720 --> 00:26:09,920 Speaker 1: out Tesla Model three with all the options would top 445 00:26:09,960 --> 00:26:14,320 Speaker 1: out under fifty dollars. So I fill up my online 446 00:26:14,320 --> 00:26:17,200 Speaker 1: shopping cart with a Tesla Model three and I make 447 00:26:17,240 --> 00:26:20,000 Speaker 1: the purchase. But then I quickly switched tabs to a 448 00:26:20,040 --> 00:26:23,200 Speaker 1: different shopping window. And in that window, let's say I've 449 00:26:23,200 --> 00:26:27,920 Speaker 1: got a Chevrolet Camaro, and this one's not totally tricked out, 450 00:26:27,920 --> 00:26:31,199 Speaker 1: because those can get upwards of around seventy dollars with 451 00:26:31,240 --> 00:26:34,080 Speaker 1: all the options, So I hit purchase on that as well. 452 00:26:34,840 --> 00:26:37,600 Speaker 1: Now I only have one bitcoin to my name, but 453 00:26:37,680 --> 00:26:40,640 Speaker 1: I've just tried to spend it twice, and the process 454 00:26:40,680 --> 00:26:43,760 Speaker 1: to verify a transaction can take about ten minutes. So 455 00:26:43,840 --> 00:26:47,000 Speaker 1: what happens, Well, each of those transactions gets submitted to 456 00:26:47,040 --> 00:26:50,800 Speaker 1: the ledger, which announces the transaction to all the nodes 457 00:26:50,880 --> 00:26:53,920 Speaker 1: that connect to the blockchain system. The nodes then work 458 00:26:53,960 --> 00:26:56,600 Speaker 1: out the order of transactions, and a majority of the 459 00:26:56,640 --> 00:27:00,200 Speaker 1: nodes have to agree on which came first. That will 460 00:27:00,240 --> 00:27:03,800 Speaker 1: invalidate the other transaction, because I cannot say, spend the 461 00:27:03,840 --> 00:27:06,520 Speaker 1: same bitcoin twice. So does that mean I'm going to 462 00:27:06,640 --> 00:27:10,280 Speaker 1: end up with the Tesla? Probably, but not necessarily. The 463 00:27:10,320 --> 00:27:13,399 Speaker 1: majority of notes could conclude that I actually ordered the 464 00:27:13,400 --> 00:27:16,399 Speaker 1: Camaro first, But even so, that would mean that the 465 00:27:16,440 --> 00:27:19,320 Speaker 1: Camaro transaction will be authorized and the Tesla one would 466 00:27:19,320 --> 00:27:23,000 Speaker 1: be null and void. Each bitcoin is in effect a 467 00:27:23,040 --> 00:27:26,159 Speaker 1: series of digital signatures that if you were to trace 468 00:27:26,240 --> 00:27:30,000 Speaker 1: them back from most recent to oldest, it would lead 469 00:27:30,000 --> 00:27:33,040 Speaker 1: back to the original creation of the bitcoin and every 470 00:27:33,080 --> 00:27:36,639 Speaker 1: transaction it had been through since that point. Each signature 471 00:27:37,119 --> 00:27:39,960 Speaker 1: is a record of a transaction, which means a bitcoin 472 00:27:39,960 --> 00:27:43,120 Speaker 1: effectively has a memory of every single time someone used 473 00:27:43,119 --> 00:27:47,640 Speaker 1: it in some form of transaction. In addition, bitcoin relies 474 00:27:47,720 --> 00:27:52,159 Speaker 1: on the cryptographic practice of maintaining a public key, that is, 475 00:27:52,480 --> 00:27:56,360 Speaker 1: a cryptographic key that everyone has access to, as well 476 00:27:56,400 --> 00:27:59,679 Speaker 1: as a private key for each user. Only the user 477 00:27:59,840 --> 00:28:03,320 Speaker 1: has access to the their own personal private key. So 478 00:28:03,520 --> 00:28:06,600 Speaker 1: when I make this transaction, my public key and the 479 00:28:06,640 --> 00:28:09,760 Speaker 1: most recent of the transactions that was on the bitcoin, 480 00:28:09,800 --> 00:28:12,800 Speaker 1: the one the most recent transaction before the one I'm 481 00:28:12,840 --> 00:28:16,440 Speaker 1: making that is, those get hashed together, and my digital 482 00:28:16,480 --> 00:28:20,520 Speaker 1: signature adds on to that Bitcoin hash. By the way, 483 00:28:20,520 --> 00:28:23,200 Speaker 1: as a process by which I can feed a string 484 00:28:23,240 --> 00:28:27,040 Speaker 1: of characters into an algorithm and it produces a fixed 485 00:28:27,080 --> 00:28:30,720 Speaker 1: size output based on whatever my input was. So let's 486 00:28:30,720 --> 00:28:33,640 Speaker 1: say the hash creates a string that's twenty characters long. 487 00:28:33,800 --> 00:28:36,399 Speaker 1: That's going to be the output. It does not matter 488 00:28:36,760 --> 00:28:39,040 Speaker 1: how long of a string of data I feed to 489 00:28:39,120 --> 00:28:43,360 Speaker 1: this algorithm. I might feed a one string one character 490 00:28:43,400 --> 00:28:46,280 Speaker 1: string into it, or a thousand character string into it. 491 00:28:46,480 --> 00:28:48,840 Speaker 1: The output is going to be twenty characters long. However, 492 00:28:49,360 --> 00:28:53,920 Speaker 1: the actual characters in that string, you know, there's gonna 493 00:28:53,920 --> 00:28:56,120 Speaker 1: be twenty of them, but the specific ones that appear 494 00:28:56,160 --> 00:28:58,600 Speaker 1: in that string are going to depend on whatever I 495 00:28:58,760 --> 00:29:02,440 Speaker 1: used as the in put. The hashes created on bitcoin 496 00:29:02,520 --> 00:29:05,480 Speaker 1: show the chain of ownership. It's this paired with the 497 00:29:05,600 --> 00:29:09,600 Speaker 1: time stamped transactions from the server and the nodes that 498 00:29:09,640 --> 00:29:13,080 Speaker 1: are agreeing on transaction order that I'll prevent bitcoins from 499 00:29:13,120 --> 00:29:17,720 Speaker 1: being double spent. Oh and blockchain groups transactions together into 500 00:29:17,880 --> 00:29:21,440 Speaker 1: blocks of data. That's why it's called block chain. You 501 00:29:21,480 --> 00:29:25,920 Speaker 1: have a chain of blocks of transactions. Each block is 502 00:29:25,960 --> 00:29:30,440 Speaker 1: cryptographically hashed to the previous blocks. Now that also means 503 00:29:30,480 --> 00:29:33,440 Speaker 1: there's no way to change the record. So let's say 504 00:29:33,480 --> 00:29:36,360 Speaker 1: that this chain is ten blocks long. If you tried 505 00:29:36,360 --> 00:29:38,880 Speaker 1: to change the record of a transaction that was back 506 00:29:38,920 --> 00:29:43,160 Speaker 1: in block number four, it would force everything from block 507 00:29:43,280 --> 00:29:46,959 Speaker 1: five onward to change as well. And since the ledger 508 00:29:47,120 --> 00:29:50,080 Speaker 1: is universal, meaning every computer or node on the system 509 00:29:50,120 --> 00:29:52,320 Speaker 1: can see it, no one would be able to get 510 00:29:52,360 --> 00:29:54,600 Speaker 1: away with those changes because everyone would see that the 511 00:29:54,680 --> 00:29:58,400 Speaker 1: ledger was changing. That's the basics of blockchain and bitcoin. 512 00:29:58,520 --> 00:30:00,800 Speaker 1: Now there's more to it than that, and it gets 513 00:30:00,800 --> 00:30:03,240 Speaker 1: really technical, but now we have the basis of what 514 00:30:03,440 --> 00:30:05,840 Speaker 1: makes n f t s work. When we come back, 515 00:30:06,040 --> 00:30:07,920 Speaker 1: we'll learn a bit more about n f t s 516 00:30:07,960 --> 00:30:11,880 Speaker 1: in particular. But first let's take another quick break so 517 00:30:11,920 --> 00:30:22,640 Speaker 1: I can breathe. And now we're up to non fungible 518 00:30:22,720 --> 00:30:26,280 Speaker 1: tokens like bitcoin. N f t s are tied to 519 00:30:26,520 --> 00:30:30,960 Speaker 1: block chains. Ethereum is one of the most common ones. 520 00:30:31,040 --> 00:30:36,080 Speaker 1: Ethereum has the built in support for things that are 521 00:30:36,120 --> 00:30:39,520 Speaker 1: not just cryptocurrency to work on that block chain. So 522 00:30:39,560 --> 00:30:40,920 Speaker 1: and if a lot of n f T s are 523 00:30:40,960 --> 00:30:44,880 Speaker 1: built on the Ethereum system, so a blockchain doesn't have 524 00:30:44,920 --> 00:30:47,240 Speaker 1: to be connected to cryptocurrency. It can be a way 525 00:30:47,280 --> 00:30:51,120 Speaker 1: to track any type of transaction. Some companies are using 526 00:30:51,120 --> 00:30:53,800 Speaker 1: blockchain to create a way to track different components in 527 00:30:53,880 --> 00:30:56,600 Speaker 1: supply chains. So using a block chain, it would be 528 00:30:56,600 --> 00:30:59,560 Speaker 1: possible to maintain a record of stuff ranging from fruit 529 00:30:59,760 --> 00:31:02,600 Speaker 1: that has picked hundreds of miles away and all the 530 00:31:02,600 --> 00:31:05,160 Speaker 1: stops that made before it finally got to your kitchen table, 531 00:31:05,680 --> 00:31:09,280 Speaker 1: or tracking authentic designer handbags from the point of origin 532 00:31:09,360 --> 00:31:11,000 Speaker 1: to the point of sale so that you know you're 533 00:31:11,000 --> 00:31:14,320 Speaker 1: not looking at a counterfeit. The blockchain gives insight and 534 00:31:14,400 --> 00:31:17,640 Speaker 1: peace of mind. You know exactly where that thing has 535 00:31:17,680 --> 00:31:22,760 Speaker 1: been because there's an unalterable digital record of every transaction 536 00:31:22,920 --> 00:31:27,200 Speaker 1: involving that thing. So, an n f T is a 537 00:31:27,280 --> 00:31:29,960 Speaker 1: token that connects to a digital item that has a 538 00:31:30,040 --> 00:31:33,240 Speaker 1: unique I D. This is different from bitcoins. A bitcoin 539 00:31:33,320 --> 00:31:37,120 Speaker 1: technically doesn't have its own I D. Bitcoins are associated 540 00:31:37,120 --> 00:31:41,720 Speaker 1: with specific transaction outputs, so the transaction has an I D, 541 00:31:42,320 --> 00:31:46,880 Speaker 1: but technically speaking, the bitcoin itself does not n f 542 00:31:46,920 --> 00:31:48,800 Speaker 1: T s have to have an I D. This is 543 00:31:48,800 --> 00:31:52,000 Speaker 1: how you identify which instance of a digital something is 544 00:31:52,560 --> 00:31:55,960 Speaker 1: in fact the one that is up for purchase, And 545 00:31:56,000 --> 00:31:58,040 Speaker 1: in a way, it's like saying, how can you tell 546 00:31:58,080 --> 00:32:02,520 Speaker 1: who owns a specific in stance of a unique digital item, 547 00:32:02,560 --> 00:32:04,720 Speaker 1: and the n f T is the way of doing that. 548 00:32:05,120 --> 00:32:07,880 Speaker 1: With physical goods, like a book, you can have a 549 00:32:07,920 --> 00:32:11,320 Speaker 1: lot of ways of differentiating them, right, they could be 550 00:32:11,440 --> 00:32:13,280 Speaker 1: hard bag, they could be paperback, they could be an 551 00:32:13,280 --> 00:32:16,160 Speaker 1: original edition, they could be autographed. All of this is 552 00:32:16,200 --> 00:32:20,640 Speaker 1: easily verifiable. With digital goods, it's a lot more challenging 553 00:32:20,680 --> 00:32:25,360 Speaker 1: because they're digital, they're ephemeral. So really what an n 554 00:32:25,440 --> 00:32:28,240 Speaker 1: f T ends up being is a digital signature, much 555 00:32:28,280 --> 00:32:31,520 Speaker 1: like what we see with cryptocurrencies like bitcoin, and just 556 00:32:31,600 --> 00:32:34,640 Speaker 1: like cryptocurrencies, and n f T can be part of 557 00:32:34,640 --> 00:32:37,600 Speaker 1: a transaction and making that transaction means that the n 558 00:32:37,640 --> 00:32:41,040 Speaker 1: f T goes through a very similar process as a 559 00:32:41,120 --> 00:32:45,520 Speaker 1: bitcoin or other cryptocurrency. There's a time stamped transaction and 560 00:32:45,560 --> 00:32:48,600 Speaker 1: a cryptographic hash that records the transfer of the n 561 00:32:48,640 --> 00:32:52,240 Speaker 1: f T, so it moves from one party's ownership to another. 562 00:32:52,760 --> 00:32:56,520 Speaker 1: The transaction enters into a universal ledger, and every node 563 00:32:56,760 --> 00:32:59,920 Speaker 1: within that system can see that universal ledger, and then 564 00:33:00,000 --> 00:33:02,720 Speaker 1: odes verified the block of transactions that the n f 565 00:33:02,760 --> 00:33:05,800 Speaker 1: T was part of, and thus ownership has changed hands 566 00:33:05,800 --> 00:33:09,760 Speaker 1: and everybody knows about it. Now. Nothing physical has actually 567 00:33:09,840 --> 00:33:12,640 Speaker 1: changed hands. It's not like a painting at an auction, 568 00:33:12,880 --> 00:33:15,960 Speaker 1: where you might go to an auction, you bid truckloads 569 00:33:16,000 --> 00:33:18,560 Speaker 1: of money for a money and at the end of 570 00:33:18,560 --> 00:33:21,840 Speaker 1: the auction, assuming that you won the bid, you could 571 00:33:21,840 --> 00:33:24,160 Speaker 1: take that painting home, or you can put in a 572 00:33:24,240 --> 00:33:27,480 Speaker 1: museum or whatever. But with an n f T, what 573 00:33:27,600 --> 00:33:30,680 Speaker 1: has happened is that there is a record of digital 574 00:33:30,720 --> 00:33:35,120 Speaker 1: ownership that has changed hands. You own the n f 575 00:33:35,160 --> 00:33:39,920 Speaker 1: T instance of whatever digital item you were buying, but 576 00:33:40,040 --> 00:33:44,960 Speaker 1: because it's digital, it's still ephemeral. What's more, there might 577 00:33:45,000 --> 00:33:49,920 Speaker 1: be many many copies of that digital thing out in 578 00:33:49,960 --> 00:33:52,920 Speaker 1: the wild. In fact, if it's a popular piece of 579 00:33:52,960 --> 00:33:56,760 Speaker 1: digital art, there could be countless copies out there. And 580 00:33:56,760 --> 00:33:59,280 Speaker 1: an n f T is not the same thing as 581 00:33:59,320 --> 00:34:03,200 Speaker 1: owning the original instance of something. It's not like going 582 00:34:03,240 --> 00:34:06,600 Speaker 1: to an art auction and buying the original canvas painting 583 00:34:06,680 --> 00:34:09,160 Speaker 1: of a moon Ai. It might be like going to 584 00:34:09,200 --> 00:34:12,480 Speaker 1: an art auction and buying a print of a mon 585 00:34:12,520 --> 00:34:16,719 Speaker 1: Ai that happens to be autographed by somebody, presumably not 586 00:34:16,920 --> 00:34:19,840 Speaker 1: mon Ai. I don't think Mona's around signing prints of 587 00:34:20,400 --> 00:34:24,200 Speaker 1: Monai's work. But n f T doesn't even mean that 588 00:34:24,280 --> 00:34:29,200 Speaker 1: the owner of that n f T tokened digital item 589 00:34:29,239 --> 00:34:33,279 Speaker 1: has any copyright to that work. If I purchase an 590 00:34:33,440 --> 00:34:37,240 Speaker 1: n f T connected version of, say, the keyboard Cat video, 591 00:34:37,800 --> 00:34:41,400 Speaker 1: all that means is that specific n f T instance 592 00:34:41,600 --> 00:34:45,480 Speaker 1: of keyboard Cat is what I own. The actual creator 593 00:34:45,520 --> 00:34:48,200 Speaker 1: of the keyboard Cat video could make as many n 594 00:34:48,200 --> 00:34:50,439 Speaker 1: f T s based off that video as they liked. 595 00:34:50,480 --> 00:34:55,040 Speaker 1: They could have a different n f t uh version 596 00:34:55,080 --> 00:34:58,400 Speaker 1: of the keyboard Cat video for like twenty fifty thousand 597 00:34:58,480 --> 00:35:00,680 Speaker 1: different people if they wanted to. Each n f T 598 00:35:01,120 --> 00:35:04,799 Speaker 1: would be digitally unique from a signature standpoint, but they 599 00:35:04,800 --> 00:35:07,640 Speaker 1: would all represent the same source of digital work, which 600 00:35:07,640 --> 00:35:09,680 Speaker 1: is kind of weird right now. If we go back 601 00:35:09,719 --> 00:35:13,640 Speaker 1: to thinking about books, you can start to grock this 602 00:35:13,840 --> 00:35:16,400 Speaker 1: a little better, at least I can. So. An author 603 00:35:16,560 --> 00:35:19,440 Speaker 1: writes a book, the author auctions off the chance for 604 00:35:19,520 --> 00:35:23,800 Speaker 1: someone to buy an autographed, personalized copy of the book. 605 00:35:24,560 --> 00:35:27,600 Speaker 1: The person who wins that auction Obviously, they don't get 606 00:35:27,640 --> 00:35:30,880 Speaker 1: the copyright to the book itself. They can't break in 607 00:35:30,920 --> 00:35:34,799 Speaker 1: the royalties for sales of that book. The author still 608 00:35:34,800 --> 00:35:37,879 Speaker 1: retains the copyright and can continue to make a living 609 00:35:37,920 --> 00:35:41,600 Speaker 1: off that book. What you have is a specific instance 610 00:35:41,640 --> 00:35:45,520 Speaker 1: of that book that is autographed and personalized. There's also 611 00:35:45,800 --> 00:35:49,320 Speaker 1: nothing stopping the author from doing more auctions to offer 612 00:35:49,760 --> 00:35:53,759 Speaker 1: more chances for autographed copies personalized to other people. These 613 00:35:53,800 --> 00:35:57,319 Speaker 1: instances are all unique in of themselves, but they all 614 00:35:57,440 --> 00:36:00,799 Speaker 1: come from the same source material. Now, there have been 615 00:36:00,840 --> 00:36:06,240 Speaker 1: several extremely high profile n f T transactions recently. For example, 616 00:36:06,840 --> 00:36:09,840 Speaker 1: Jack Dorsey, the CEO of Twitter, auctioned off and n 617 00:36:09,880 --> 00:36:13,680 Speaker 1: f T representing his first tweet ever, which just said 618 00:36:14,480 --> 00:36:18,560 Speaker 1: quote just setting up my Twitter end quote. Twitter was 619 00:36:18,600 --> 00:36:21,759 Speaker 1: spelled without vowels, so as t W T t R. 620 00:36:22,080 --> 00:36:25,560 Speaker 1: He posted that back on March twenty one, two thousand six, 621 00:36:25,840 --> 00:36:30,000 Speaker 1: and he auctioned off an n f T token representing 622 00:36:30,440 --> 00:36:33,839 Speaker 1: the tweet. The winning bid came in at more than 623 00:36:33,880 --> 00:36:39,600 Speaker 1: two point nine million dollars. And you know, this doesn't 624 00:36:39,640 --> 00:36:43,879 Speaker 1: mean that the tweet has disappeared from everybody else's view, right, 625 00:36:43,960 --> 00:36:46,920 Speaker 1: So what does ownership even mean? I'm not sure I 626 00:36:46,960 --> 00:36:50,560 Speaker 1: could even tell you. We're getting into some fuzzy territory here, 627 00:36:50,600 --> 00:36:54,840 Speaker 1: because clearly everyone can still see the tweet. Everyone knows 628 00:36:54,960 --> 00:36:58,719 Speaker 1: what that tweet is. Where is the value? What is 629 00:36:58,760 --> 00:37:02,279 Speaker 1: the point of ownership? I'm not sure I know I 630 00:37:02,360 --> 00:37:05,600 Speaker 1: can tell you. However, the Dorsey donated the proceeds of 631 00:37:05,600 --> 00:37:09,440 Speaker 1: that auction to a charity, which was pretty awesome. Or 632 00:37:09,719 --> 00:37:13,000 Speaker 1: take the work of the artist people whose real name 633 00:37:13,040 --> 00:37:16,359 Speaker 1: is Mike Winkelman. He's been making digital art for more 634 00:37:16,360 --> 00:37:18,920 Speaker 1: than a decade and he began to experiment with n 635 00:37:18,960 --> 00:37:21,279 Speaker 1: f T s a few months ago. This led to 636 00:37:21,360 --> 00:37:24,440 Speaker 1: an n f T representing a collection of his works 637 00:37:24,760 --> 00:37:28,400 Speaker 1: going on auction at Christie's, the company that oversees like 638 00:37:29,320 --> 00:37:34,160 Speaker 1: really big, real legit art auctions, and this brought in 639 00:37:34,200 --> 00:37:39,320 Speaker 1: a lot of money, as in sixty nine million dollars. 640 00:37:39,320 --> 00:37:42,040 Speaker 1: But these works of art exist on the Internet, which 641 00:37:42,040 --> 00:37:44,640 Speaker 1: means you can actually look at them, you can copy them, 642 00:37:44,760 --> 00:37:47,960 Speaker 1: you could store them on your home device, on your phone, whatever. 643 00:37:48,040 --> 00:37:51,080 Speaker 1: You can make as many copies as you liked. So again, 644 00:37:51,520 --> 00:37:54,920 Speaker 1: what does n f T ownership actually mean? Because you 645 00:37:54,960 --> 00:37:58,200 Speaker 1: don't own the original, It's not like purchasing that painting 646 00:37:58,239 --> 00:38:01,799 Speaker 1: that an artist has created. Personally, you don't own the copyright. 647 00:38:02,200 --> 00:38:05,000 Speaker 1: What do you own? Well, you own a record of 648 00:38:05,040 --> 00:38:09,239 Speaker 1: a transaction. YEA. N f T S can be a 649 00:38:09,280 --> 00:38:11,960 Speaker 1: way that let you support an artist, and that I 650 00:38:12,000 --> 00:38:15,920 Speaker 1: think is totally cool. Digital art is very hard to 651 00:38:16,040 --> 00:38:21,480 Speaker 1: monetize because of this replicability and easy to distribute nature 652 00:38:21,480 --> 00:38:25,160 Speaker 1: of digital goods. It's Harvard digital artists to make money 653 00:38:25,200 --> 00:38:28,120 Speaker 1: off their work because it's so easy to just lift 654 00:38:28,160 --> 00:38:31,000 Speaker 1: it for free, you know, unless it's part of an 655 00:38:31,160 --> 00:38:35,360 Speaker 1: established commercial endeavor. A lot of digital artists struggle to 656 00:38:35,680 --> 00:38:38,960 Speaker 1: make money from their work. So maybe there's an artist 657 00:38:39,000 --> 00:38:42,600 Speaker 1: that you like who creates really cool digital art. Purchasing 658 00:38:42,600 --> 00:38:45,080 Speaker 1: a work connected to n f T might be a 659 00:38:45,080 --> 00:38:47,880 Speaker 1: way to show your support. And because that transaction happens 660 00:38:47,920 --> 00:38:51,760 Speaker 1: on a publicly viewable blockchain, or at least publicly viewable 661 00:38:51,800 --> 00:38:56,960 Speaker 1: to any node connected to that blockchain, that support that 662 00:38:57,040 --> 00:38:59,640 Speaker 1: you gave is public, and public support can be a 663 00:38:59,719 --> 00:39:02,720 Speaker 1: huge which helped to an artist. If more people see 664 00:39:02,760 --> 00:39:06,040 Speaker 1: that a certain artist's work is moving, like people are 665 00:39:06,080 --> 00:39:09,799 Speaker 1: buying in a T tokens representing pieces of work from 666 00:39:09,800 --> 00:39:12,800 Speaker 1: this particular artist, then maybe they go and help support 667 00:39:12,840 --> 00:39:16,040 Speaker 1: that artist, and that artist flourishes as a result. That's great, 668 00:39:16,880 --> 00:39:18,600 Speaker 1: but a lot of the reporting on n f t 669 00:39:18,760 --> 00:39:22,279 Speaker 1: s right now isn't so much about supporting artists as 670 00:39:22,280 --> 00:39:27,440 Speaker 1: it is about speculation. Like speculation from an economic standpoint, 671 00:39:27,760 --> 00:39:29,799 Speaker 1: this means that n f t s are kind of 672 00:39:29,920 --> 00:39:33,960 Speaker 1: in a way, being treated sort of like cryptocurrency is. 673 00:39:34,560 --> 00:39:37,800 Speaker 1: You've likely heard me say on many occasions that cryptocurrency 674 00:39:37,880 --> 00:39:42,480 Speaker 1: really comes across more as a commodity than as a currency. 675 00:39:42,600 --> 00:39:46,680 Speaker 1: The value of cryptocurrencies tends to be, let's say, fluid, 676 00:39:47,239 --> 00:39:50,520 Speaker 1: and thus it's hard to treat cryptocurrency as a real 677 00:39:50,680 --> 00:39:53,840 Speaker 1: means of exchange. More people treat it as a way 678 00:39:53,840 --> 00:39:58,120 Speaker 1: to invest and increase their money, and n f t 679 00:39:58,360 --> 00:40:01,560 Speaker 1: s seem to be headed in at general direction right now. 680 00:40:02,080 --> 00:40:05,360 Speaker 1: Owning the digital signature of a transaction for a specific 681 00:40:05,400 --> 00:40:09,440 Speaker 1: instance of art is sort of like having bragging rights, 682 00:40:09,680 --> 00:40:13,520 Speaker 1: and as long as people ascribe value to those bragging rights, 683 00:40:14,120 --> 00:40:17,279 Speaker 1: it will be worth something. In fact, at least in 684 00:40:17,280 --> 00:40:20,240 Speaker 1: the short term, the value will likely go up because 685 00:40:20,320 --> 00:40:22,080 Speaker 1: lots of people are hearing about n f t s, 686 00:40:22,080 --> 00:40:23,920 Speaker 1: they're curious about it, they want to get in on it, 687 00:40:24,040 --> 00:40:28,640 Speaker 1: especially the cryptocurrency fans, they really want to jump on 688 00:40:28,840 --> 00:40:32,680 Speaker 1: this this bandwagon. But a lot of people, including people, 689 00:40:33,040 --> 00:40:35,600 Speaker 1: it turns out, have expressed some concern that what we're 690 00:40:35,640 --> 00:40:38,400 Speaker 1: seeing is sort of a speculative bubble that could collapse 691 00:40:38,440 --> 00:40:42,320 Speaker 1: at any moment. All right, but how do you store 692 00:40:42,960 --> 00:40:44,480 Speaker 1: n f T S. I mean, if you were to 693 00:40:44,560 --> 00:40:46,400 Speaker 1: buy a physical work of art, you would have to 694 00:40:46,520 --> 00:40:50,239 Speaker 1: put that in some physical location. But if an n 695 00:40:50,320 --> 00:40:53,160 Speaker 1: f T is a digital signature, where does it go. 696 00:40:54,360 --> 00:40:57,040 Speaker 1: The answer to that is a digital wallet. Though it 697 00:40:57,080 --> 00:40:59,839 Speaker 1: has to be a digital wallet, it's also compatible within 698 00:41:00,000 --> 00:41:03,200 Speaker 1: f T S. This is the same way that cryptocurrencies work. 699 00:41:03,680 --> 00:41:07,160 Speaker 1: That digital wallet would exist on a physical piece of 700 00:41:07,200 --> 00:41:11,040 Speaker 1: hardware like a computer, preferably one that is a prey 701 00:41:11,160 --> 00:41:16,000 Speaker 1: secure location and has password protection. But it also means 702 00:41:16,000 --> 00:41:18,560 Speaker 1: that if you were to ever lose that hardware or 703 00:41:18,719 --> 00:41:21,680 Speaker 1: lose the password to access it, you would also lose 704 00:41:21,760 --> 00:41:24,239 Speaker 1: all access to the n f T. Now you would 705 00:41:24,280 --> 00:41:26,799 Speaker 1: still own it, but you would never be able to 706 00:41:26,840 --> 00:41:30,279 Speaker 1: transfer that n f T to anyone else. So let's 707 00:41:30,320 --> 00:41:32,840 Speaker 1: say you bought an n f T for a dollar 708 00:41:33,400 --> 00:41:35,840 Speaker 1: and now, according to the market, it's worth like a 709 00:41:35,920 --> 00:41:38,680 Speaker 1: gazillion dollars, but you no longer have access to the 710 00:41:38,719 --> 00:41:42,840 Speaker 1: computer that holds the that digital wallet. You would be 711 00:41:42,920 --> 00:41:45,480 Speaker 1: up the creek. Oh and one other thing we have 712 00:41:45,520 --> 00:41:49,279 Speaker 1: to talk about. While we've been chatting about digital processes, 713 00:41:49,600 --> 00:41:52,560 Speaker 1: it's time to talk about environmental impact of n f 714 00:41:52,600 --> 00:41:56,080 Speaker 1: t s because there is one. And that's because the 715 00:41:56,120 --> 00:42:00,480 Speaker 1: process of proof of work cryptographic approaches, which is what 716 00:42:00,760 --> 00:42:04,080 Speaker 1: underlies n f t s and the cryptocurrencies that they 717 00:42:04,120 --> 00:42:07,160 Speaker 1: work on top of. Bitcoin is of an example ethereum 718 00:42:07,160 --> 00:42:10,680 Speaker 1: as an example, That approach is tied to how much 719 00:42:10,680 --> 00:42:16,560 Speaker 1: computer processing power is dedicated toward that system. So see 720 00:42:16,680 --> 00:42:20,000 Speaker 1: the way those blocks get formed on a blockchain and 721 00:42:20,040 --> 00:42:24,000 Speaker 1: bitcoin is that you've got these bitcoin miners and what 722 00:42:24,080 --> 00:42:26,799 Speaker 1: they're trying to do, essentially is to solve a very 723 00:42:26,920 --> 00:42:31,160 Speaker 1: hard math problem with their computer systems. The more computational 724 00:42:31,200 --> 00:42:35,799 Speaker 1: power that is applied to those problems, the harder those 725 00:42:35,840 --> 00:42:39,799 Speaker 1: problems get. This is a dynamic that's inherent in the 726 00:42:39,840 --> 00:42:43,160 Speaker 1: way the system works. It's geared towards having blocks of 727 00:42:43,200 --> 00:42:47,600 Speaker 1: transactions solved every ten minutes or so. But that's that's 728 00:42:47,640 --> 00:42:50,960 Speaker 1: the goal, is to keep that ten minutes pretty standard, 729 00:42:51,280 --> 00:42:54,240 Speaker 1: to keep that timeline steady. The system has to adjust 730 00:42:54,280 --> 00:42:58,120 Speaker 1: the difficulty of the problems that the different miners have 731 00:42:58,280 --> 00:43:01,480 Speaker 1: to solve in order to you you know, verify a 732 00:43:01,520 --> 00:43:04,440 Speaker 1: block and have them added to the chain. Because the 733 00:43:04,480 --> 00:43:07,000 Speaker 1: problems are too easy, then the blocks would be solved 734 00:43:07,040 --> 00:43:09,640 Speaker 1: in less than ten minutes. And if it's too hard, 735 00:43:09,680 --> 00:43:12,880 Speaker 1: then it would take too long. So every so often 736 00:43:12,920 --> 00:43:17,200 Speaker 1: the system readjusts how difficult these problems are, and it's 737 00:43:17,320 --> 00:43:22,120 Speaker 1: essentially guessing a really big number. It's it's that's hard 738 00:43:22,160 --> 00:43:25,000 Speaker 1: to do. It's hard to guess a very specific, very 739 00:43:25,080 --> 00:43:29,680 Speaker 1: big number. And the reward for solving these problems, which 740 00:43:29,719 --> 00:43:33,600 Speaker 1: again ultimately verifies a block of transactions so that it 741 00:43:33,640 --> 00:43:37,799 Speaker 1: can join the blockchain. The reward are a certain number 742 00:43:37,840 --> 00:43:40,920 Speaker 1: of bitcoins. At least in the case of bitcoin, uh 743 00:43:40,960 --> 00:43:44,319 Speaker 1: that number of bitcoins actually goes down over time, like 744 00:43:44,560 --> 00:43:47,920 Speaker 1: the longer Bitcoin is in action, the fewer coins you 745 00:43:47,960 --> 00:43:52,080 Speaker 1: get when you solve a block. Right now, if you 746 00:43:52,120 --> 00:43:55,680 Speaker 1: were to be running a computer system, or more likely 747 00:43:55,760 --> 00:44:01,000 Speaker 1: a computer network system that solved that problem that guests 748 00:44:01,040 --> 00:44:04,080 Speaker 1: that very hard number, you would get a reward of 749 00:44:04,160 --> 00:44:08,200 Speaker 1: six point to five bitcoins that would be worth around 750 00:44:07,600 --> 00:44:13,040 Speaker 1: thousand dollars. As I record this. But again, remember that 751 00:44:13,600 --> 00:44:16,280 Speaker 1: you know, the value of bitcoin dropped two thousand dollars 752 00:44:16,280 --> 00:44:20,400 Speaker 1: since I started researching this episode, which, um fun fact 753 00:44:20,960 --> 00:44:24,399 Speaker 1: means that over the course of one day, we've seen 754 00:44:24,440 --> 00:44:28,040 Speaker 1: the value of bitcoin fluctuate by two thousand dollars. Still, 755 00:44:28,080 --> 00:44:30,560 Speaker 1: that's a huge payout, right. I mean, if you have 756 00:44:30,680 --> 00:44:35,319 Speaker 1: that computer system and it solves the problem to validate 757 00:44:35,480 --> 00:44:38,960 Speaker 1: a block of transactions and you get six point two 758 00:44:39,000 --> 00:44:42,040 Speaker 1: five bitcoin, that's more than a quarter of a million dollars. 759 00:44:42,120 --> 00:44:46,399 Speaker 1: So that is an enormous incentive for bitcoin miners who 760 00:44:46,440 --> 00:44:52,239 Speaker 1: spend ridiculous amounts of money to create very fast, very 761 00:44:52,239 --> 00:44:56,720 Speaker 1: sophisticated networks of computers that are just dedicated to tackling 762 00:44:56,719 --> 00:44:59,480 Speaker 1: these problems. That's all these computers are doing. They're trying 763 00:44:59,480 --> 00:45:03,120 Speaker 1: to guess that number. And it also means the average 764 00:45:03,120 --> 00:45:06,280 Speaker 1: person running a typical computer has next to zero chance 765 00:45:06,360 --> 00:45:08,640 Speaker 1: when it comes to mining. It would be kind of 766 00:45:08,640 --> 00:45:11,880 Speaker 1: like if you were given a pick axe that was 767 00:45:11,960 --> 00:45:14,840 Speaker 1: covered in rust, and the person next to you is 768 00:45:14,920 --> 00:45:18,560 Speaker 1: running a one hundred ton high tech, high speed drill, 769 00:45:19,040 --> 00:45:22,000 Speaker 1: and you're both given the task to try and find 770 00:45:22,120 --> 00:45:25,680 Speaker 1: a specific gym somewhere in a mountain of stone. You're 771 00:45:25,760 --> 00:45:27,840 Speaker 1: not going to be able to keep up. But it 772 00:45:27,920 --> 00:45:31,760 Speaker 1: also means that bitcoin mining requires a lot of electricity 773 00:45:31,760 --> 00:45:35,440 Speaker 1: to power all these computers all over the world, and 774 00:45:35,480 --> 00:45:39,080 Speaker 1: the same is true for other cryptocurrencies, and it's also 775 00:45:39,160 --> 00:45:42,799 Speaker 1: true for n f T transactions. They all kind of 776 00:45:42,800 --> 00:45:44,600 Speaker 1: are wrapped up with each other. In fact, n f 777 00:45:44,640 --> 00:45:47,760 Speaker 1: T transactions are typically overlaid on top of an existing 778 00:45:47,760 --> 00:45:51,920 Speaker 1: cryptocurrency system. The n f T transactions become parts of 779 00:45:51,960 --> 00:45:56,799 Speaker 1: blocks representing also cryptocurrency transactions, and all this relies upon 780 00:45:56,920 --> 00:46:00,960 Speaker 1: that massive computer power that's just chugging away a racing 781 00:46:01,000 --> 00:46:05,200 Speaker 1: against other similarly powerful networks of computers, all trying to 782 00:46:05,200 --> 00:46:08,520 Speaker 1: be the first to guess that very big number to 783 00:46:08,640 --> 00:46:12,720 Speaker 1: validate a block and thus reap the rewards. Memo Acting 784 00:46:12,920 --> 00:46:15,800 Speaker 1: on Medium wrote up a pretty exhaustive series of blog 785 00:46:15,880 --> 00:46:20,320 Speaker 1: posts that really went into detail about the energy requirements 786 00:46:20,360 --> 00:46:23,400 Speaker 1: that are needed just to verify n f T transactions, 787 00:46:23,680 --> 00:46:28,400 Speaker 1: and the estimates are really daunting. Acting specifically focused on 788 00:46:28,440 --> 00:46:32,319 Speaker 1: Ethereum because the Ethereum cryptocurrency system allows for n f 789 00:46:32,360 --> 00:46:36,680 Speaker 1: T transactions and is a very popular option, and a 790 00:46:36,800 --> 00:46:42,200 Speaker 1: single Ethereum transaction has an estimated electricity requirement of thirty 791 00:46:42,239 --> 00:46:46,320 Speaker 1: five kilowatt hours of electricity, or about the same amount 792 00:46:46,320 --> 00:46:49,520 Speaker 1: of electricity that a resident in the European Union would 793 00:46:49,600 --> 00:46:53,880 Speaker 1: use over the course of four days for just one transaction. 794 00:46:54,560 --> 00:46:58,040 Speaker 1: In turn, Acting states that this generates an estimated twenty 795 00:46:58,719 --> 00:47:02,160 Speaker 1: ms of carbon diets emissions once you trace back the 796 00:47:02,200 --> 00:47:05,759 Speaker 1: origin point for electricity generation like where your where's your 797 00:47:05,760 --> 00:47:10,400 Speaker 1: electricity coming from? So, in other words, the fundamental process 798 00:47:10,520 --> 00:47:14,879 Speaker 1: used by cryptocurrencies like bitcoin and ethereum, as well as 799 00:47:15,000 --> 00:47:18,040 Speaker 1: n f t s, feeds into a system of eye 800 00:47:18,080 --> 00:47:22,120 Speaker 1: popping amounts of energy consumption, which of course feeds back 801 00:47:22,160 --> 00:47:25,920 Speaker 1: to the need for greater amounts of energy production and 802 00:47:25,960 --> 00:47:30,120 Speaker 1: then in turn creates a big ecological impact, particularly with 803 00:47:30,239 --> 00:47:34,239 Speaker 1: carbon emissions. Now, I think I might hate n f 804 00:47:34,280 --> 00:47:36,960 Speaker 1: t s for a couple of reasons. I do like 805 00:47:37,040 --> 00:47:40,120 Speaker 1: the ability to support artists who work in digital media. 806 00:47:40,440 --> 00:47:43,080 Speaker 1: That part I think is really awesome. I really like that. 807 00:47:44,080 --> 00:47:46,759 Speaker 1: But just about everything else either kind of irritates me 808 00:47:46,960 --> 00:47:49,120 Speaker 1: in that grumpy old man kind of way, or it 809 00:47:49,239 --> 00:47:53,240 Speaker 1: legitimately worries me. But I'm curious to hear what you think. 810 00:47:53,600 --> 00:47:56,759 Speaker 1: Don't let my bias affect you. I come at this 811 00:47:56,920 --> 00:48:00,080 Speaker 1: admitting that I have a specific point of view, and 812 00:48:00,120 --> 00:48:02,680 Speaker 1: I also admit that my point of view does not 813 00:48:02,880 --> 00:48:07,040 Speaker 1: necessarily reflect what is right or what is wrong. Oh, 814 00:48:07,120 --> 00:48:10,359 Speaker 1: bi Wan would be so proud of me. And that 815 00:48:10,400 --> 00:48:14,080 Speaker 1: wraps up our episode to explain what n f T 816 00:48:14,280 --> 00:48:16,360 Speaker 1: s are and how they work. I hope you found 817 00:48:16,360 --> 00:48:19,480 Speaker 1: this episode useful. I covered a lot of different topics here, 818 00:48:19,680 --> 00:48:23,640 Speaker 1: but they all do tie into the general systems that 819 00:48:23,800 --> 00:48:26,960 Speaker 1: make n f T s what they are, and I 820 00:48:27,000 --> 00:48:30,640 Speaker 1: felt like leaving any of it out would have meant 821 00:48:30,719 --> 00:48:33,040 Speaker 1: that I would have been lacking some context for you. 822 00:48:33,640 --> 00:48:36,239 Speaker 1: If any of you folks have suggestions for topics I 823 00:48:36,280 --> 00:48:38,920 Speaker 1: should tackle in future episodes of tech Stuff, I welcome 824 00:48:39,000 --> 00:48:41,120 Speaker 1: you to send them to me. The best way to 825 00:48:41,160 --> 00:48:44,799 Speaker 1: do that is on Twitter. Please don't make me buy 826 00:48:45,120 --> 00:48:48,040 Speaker 1: an n f T token version of your tweet. I 827 00:48:49,040 --> 00:48:51,719 Speaker 1: don't have that kind of cheddar on me right now, 828 00:48:52,520 --> 00:48:55,960 Speaker 1: but otherwise send it to me the handles text stuff 829 00:48:56,280 --> 00:49:00,000 Speaker 1: H s W and I'll talk to you again really 830 00:49:00,040 --> 00:49:07,719 Speaker 1: you soon. Y. Text Stuff is an I Heart Radio production. 831 00:49:07,920 --> 00:49:10,759 Speaker 1: For more podcasts from I Heart Radio, visit the i 832 00:49:10,880 --> 00:49:14,120 Speaker 1: Heart Radio app, Apple Podcasts, or wherever you listen to 833 00:49:14,160 --> 00:49:15,080 Speaker 1: your favorite shows,