1 00:00:04,120 --> 00:00:07,160 Speaker 1: Get in touch with technology with tech Stuff from how 2 00:00:07,200 --> 00:00:14,000 Speaker 1: Stuff Works dot com. Hey guys, and welcome to tex Stuff. 3 00:00:14,000 --> 00:00:17,040 Speaker 1: I'm your host, Jonathan Strickland. I'm an executive producer with 4 00:00:17,079 --> 00:00:18,960 Speaker 1: How Stuff Works in my Heart Radio and I love 5 00:00:19,040 --> 00:00:21,799 Speaker 1: all things tech. And today we're going to listen to 6 00:00:21,840 --> 00:00:24,920 Speaker 1: another classic episode. Because I'm still on vacation, I will 7 00:00:24,960 --> 00:00:28,760 Speaker 1: be back very soon, but today we're going to look 8 00:00:28,800 --> 00:00:31,800 Speaker 1: back on what was a real big buzzword or I 9 00:00:31,840 --> 00:00:36,400 Speaker 1: guess buzz phrase back in the day, which was web 10 00:00:36,440 --> 00:00:39,560 Speaker 1: two point oh that was used to describe lots of stuff. 11 00:00:39,600 --> 00:00:43,840 Speaker 1: It was a fairly vague term. So in this episode 12 00:00:44,280 --> 00:00:47,560 Speaker 1: I go into explain what was web two point oh? 13 00:00:47,600 --> 00:00:50,040 Speaker 1: What was the whole concept behind that. I hope you 14 00:00:50,120 --> 00:00:54,600 Speaker 1: enjoy this classic episode what is web two point oh? 15 00:00:54,880 --> 00:00:56,640 Speaker 1: But I think we've had enough time since then to 16 00:00:56,720 --> 00:00:59,200 Speaker 1: really take a look back and explore what the concept 17 00:00:59,200 --> 00:01:02,280 Speaker 1: of web two point was and what if anything is 18 00:01:02,280 --> 00:01:06,560 Speaker 1: taking its place, and does the term mean anything? Was 19 00:01:06,600 --> 00:01:09,600 Speaker 1: it just kind of a placeholder. It's gonna be a 20 00:01:09,640 --> 00:01:12,319 Speaker 1: lot of opinion in this because it's from my own 21 00:01:12,360 --> 00:01:16,000 Speaker 1: personal perspective, but honestly, if you've heard the term web 22 00:01:16,040 --> 00:01:18,319 Speaker 1: two point oh, and you always wondered what that meant. 23 00:01:18,760 --> 00:01:21,720 Speaker 1: That's what I want to cover today. But to start off, 24 00:01:21,720 --> 00:01:25,000 Speaker 1: we need to look at a history of the web itself. 25 00:01:25,720 --> 00:01:29,440 Speaker 1: And I'm sure you all know that the Web and 26 00:01:29,480 --> 00:01:32,919 Speaker 1: the Internet are two different things, but just in case, 27 00:01:33,560 --> 00:01:37,120 Speaker 1: let's lay down that groundwork. Now, the Internet refers to 28 00:01:37,480 --> 00:01:43,039 Speaker 1: the network of networks, this gigantic network of computer networks 29 00:01:43,040 --> 00:01:46,319 Speaker 1: that are all interconnected together. There's a series of connections 30 00:01:46,319 --> 00:01:50,280 Speaker 1: that allows computers to communicate with one another. So this 31 00:01:50,400 --> 00:01:55,000 Speaker 1: is an enormous system that allows all kinds of different 32 00:01:55,040 --> 00:01:59,240 Speaker 1: types of communication to go across it. And back in 33 00:01:59,280 --> 00:02:02,600 Speaker 1: the day, we used to talk about the Internet in 34 00:02:02,640 --> 00:02:05,760 Speaker 1: the terms of the information super highway. You might be 35 00:02:05,800 --> 00:02:08,640 Speaker 1: familiar with that term. So it was kind of the 36 00:02:08,680 --> 00:02:13,640 Speaker 1: infrastructure that allowed rapid communication across the globe and allowed 37 00:02:13,720 --> 00:02:18,160 Speaker 1: people who were on one computer network to communicate directly 38 00:02:18,200 --> 00:02:20,480 Speaker 1: with people who are on a totally separate computer network 39 00:02:20,600 --> 00:02:24,839 Speaker 1: because of this interconnectivity. Now the Web is just one 40 00:02:24,880 --> 00:02:28,480 Speaker 1: way to send and consume information on that super highway. 41 00:02:28,520 --> 00:02:30,760 Speaker 1: So you can think of it as a vehicle that 42 00:02:30,880 --> 00:02:34,440 Speaker 1: shares the super highway with other vehicles. So the Web 43 00:02:34,440 --> 00:02:36,760 Speaker 1: would be like a giant bus. And then you might 44 00:02:36,840 --> 00:02:40,320 Speaker 1: have a freight train that's or not freight train, but 45 00:02:40,360 --> 00:02:42,480 Speaker 1: a freight truck that's driving right next to it. That's 46 00:02:42,520 --> 00:02:47,280 Speaker 1: file transfer protocol, or a bunch of mail vehicles in 47 00:02:47,480 --> 00:02:50,520 Speaker 1: a I L that would stand for email, that kind 48 00:02:50,520 --> 00:02:53,000 Speaker 1: of stuff. These would all be traveling along the Internet. 49 00:02:53,440 --> 00:02:56,760 Speaker 1: None of them are the Internet. They're just a means 50 00:02:56,800 --> 00:03:00,720 Speaker 1: of communication that exists because the Internet is the platform 51 00:03:00,840 --> 00:03:05,440 Speaker 1: upon which they exist. So you access the Web through 52 00:03:05,520 --> 00:03:09,480 Speaker 1: a web browser. Big shock there, I'm sure we usually 53 00:03:09,480 --> 00:03:12,280 Speaker 1: refer to that as the client. Your machine with the 54 00:03:12,280 --> 00:03:16,200 Speaker 1: web browser is the client, and the browser or client 55 00:03:16,560 --> 00:03:20,400 Speaker 1: lets you request information from another machine on the Internet, 56 00:03:20,520 --> 00:03:24,240 Speaker 1: which we call a server. The server receives your request 57 00:03:24,280 --> 00:03:27,040 Speaker 1: in response to it sends the relevant data back to you. 58 00:03:27,480 --> 00:03:30,359 Speaker 1: And all of that has done through a visual interface. 59 00:03:30,480 --> 00:03:35,480 Speaker 1: In other words, you've got something rendered out as uh, 60 00:03:35,520 --> 00:03:39,120 Speaker 1: you know, something that's easy to to interpret and consume 61 00:03:39,520 --> 00:03:44,200 Speaker 1: within the browser, as opposed to a text based approach 62 00:03:44,280 --> 00:03:47,720 Speaker 1: that is, you know, marred by lots of code that 63 00:03:47,920 --> 00:03:51,320 Speaker 1: might be really confusing to you. Now, the path taken 64 00:03:51,320 --> 00:03:54,280 Speaker 1: by your request and the returning information isn't set in stone, 65 00:03:54,960 --> 00:03:58,040 Speaker 1: so this is different from roads. This is where the 66 00:03:58,160 --> 00:04:02,160 Speaker 1: road analogy really breaks down, because if you have a 67 00:04:02,240 --> 00:04:05,800 Speaker 1: set of roads between you and your destination, you might 68 00:04:05,800 --> 00:04:09,880 Speaker 1: be able to take a detour, or perhaps two detours. 69 00:04:09,920 --> 00:04:12,480 Speaker 1: If things are really bad, let's say there's flooding, you 70 00:04:12,520 --> 00:04:15,120 Speaker 1: can't get to where you are going using your normal routes. 71 00:04:15,520 --> 00:04:17,960 Speaker 1: But the way the Internet goes it's way more robust 72 00:04:18,000 --> 00:04:23,400 Speaker 1: than that. The information is delivered via packets. The packets 73 00:04:23,440 --> 00:04:26,320 Speaker 1: all can travel different pathways to get to their destination, 74 00:04:26,320 --> 00:04:29,920 Speaker 1: whereupon everything gets put back together and displayed for you. 75 00:04:29,960 --> 00:04:33,120 Speaker 1: Now that's not just for Web information. That's for all 76 00:04:33,160 --> 00:04:37,960 Speaker 1: information going across the Internet traffic. But it's uh one 77 00:04:37,960 --> 00:04:40,360 Speaker 1: of the reasons why the Internet is so useful. It's 78 00:04:40,400 --> 00:04:42,800 Speaker 1: that you don't have to worry if there is a 79 00:04:42,960 --> 00:04:46,000 Speaker 1: break in the communication lines between you and the web 80 00:04:46,040 --> 00:04:50,120 Speaker 1: server because the data can route around. That very important 81 00:04:50,160 --> 00:04:53,240 Speaker 1: if you have machines that are constantly going on and offline. 82 00:04:53,760 --> 00:04:55,840 Speaker 1: So back to the web. Now, the birthplace of the 83 00:04:55,880 --> 00:05:00,159 Speaker 1: World Wide Web is CERN. That's the same organization that 84 00:05:00,240 --> 00:05:04,000 Speaker 1: oversees the large hadron colliders. So we're talking particle physics 85 00:05:04,600 --> 00:05:08,680 Speaker 1: and loll cats all because of CERN. Thanks CERN specifically 86 00:05:08,760 --> 00:05:11,720 Speaker 1: say thanks to Tim berners Lee, who developed what would 87 00:05:11,720 --> 00:05:16,360 Speaker 1: become the basis of the Worldwide Web on a Next computer. 88 00:05:17,560 --> 00:05:19,800 Speaker 1: And uh, in case you're not familiar with what Next 89 00:05:20,120 --> 00:05:23,800 Speaker 1: is or was, really, it was a computer platform developed 90 00:05:23,800 --> 00:05:26,919 Speaker 1: by Steve Jobs after he had been forced from Apple. 91 00:05:27,600 --> 00:05:31,320 Speaker 1: So Apple forced Steve Jobs out of the company or 92 00:05:31,360 --> 00:05:34,920 Speaker 1: Steve Jobs quit, depending upon the person telling the story, 93 00:05:35,640 --> 00:05:38,279 Speaker 1: and as a result, Steve Jobs then went on to 94 00:05:38,360 --> 00:05:41,240 Speaker 1: found a new company called Next and develop a new 95 00:05:41,320 --> 00:05:45,479 Speaker 1: type of computer. Eventually he would come back to Apple. Essentially, 96 00:05:45,480 --> 00:05:48,640 Speaker 1: Apple begged Steve Jobs to return just as Apple was 97 00:05:48,800 --> 00:05:52,520 Speaker 1: on the brink of bankruptcy, and Next kind of faded away. 98 00:05:52,839 --> 00:05:55,200 Speaker 1: But it was the Next computer that Tim burners Lee 99 00:05:55,279 --> 00:05:59,240 Speaker 1: was using to develop web pages and the first web browser. 100 00:06:00,520 --> 00:06:04,720 Speaker 1: In fact, the first website was built in nine by 101 00:06:04,760 --> 00:06:07,680 Speaker 1: Tim berners Lee, and he hosted it on his own computer. 102 00:06:08,640 --> 00:06:11,600 Speaker 1: That site contained information about the purpose and structure of 103 00:06:11,640 --> 00:06:14,159 Speaker 1: the web, so kind of an explanation of what the 104 00:06:14,200 --> 00:06:17,320 Speaker 1: web would be capable of, and also a set of 105 00:06:17,360 --> 00:06:19,880 Speaker 1: instructions on how to create your own web server, because 106 00:06:19,920 --> 00:06:23,000 Speaker 1: obviously the web is only really useful if other people 107 00:06:23,080 --> 00:06:25,480 Speaker 1: start to join on Otherwise it's just kind of a 108 00:06:26,000 --> 00:06:29,800 Speaker 1: you know, you just logging remotely to someone else's computer. 109 00:06:29,880 --> 00:06:33,360 Speaker 1: It's not that exciting now. The browser he built was 110 00:06:33,440 --> 00:06:37,000 Speaker 1: called Worldwide Web. Just where we get that from, and 111 00:06:37,680 --> 00:06:41,159 Speaker 1: things continued along a lot of research centers and students 112 00:06:41,200 --> 00:06:44,080 Speaker 1: began to get access to the world Wide Web. But 113 00:06:44,240 --> 00:06:49,719 Speaker 1: things really took off on April three. That's when uh 114 00:06:49,960 --> 00:06:53,560 Speaker 1: CERN decided to release the Web to the general public, 115 00:06:54,080 --> 00:06:56,640 Speaker 1: meaning they made the information itself on how the web 116 00:06:56,680 --> 00:07:00,120 Speaker 1: works public and open. Along with the open license for 117 00:07:00,160 --> 00:07:03,120 Speaker 1: the Web, SERN offered a basic browser and a library 118 00:07:03,120 --> 00:07:05,680 Speaker 1: of code to help things move along, and it didn't 119 00:07:05,720 --> 00:07:09,000 Speaker 1: take long for other organizations and eventually people and companies 120 00:07:09,040 --> 00:07:13,760 Speaker 1: to join in. So also in three, the National Center 121 00:07:13,800 --> 00:07:18,480 Speaker 1: for super Computing Applications or in c s A released 122 00:07:18,600 --> 00:07:21,920 Speaker 1: Mosaic one point oh, and that became the first web 123 00:07:21,960 --> 00:07:25,920 Speaker 1: browser to really find popularity among the general public. At 124 00:07:25,960 --> 00:07:28,240 Speaker 1: this point, most of the people using the web were 125 00:07:28,320 --> 00:07:32,440 Speaker 1: still researchers and students, but gradually people outside of these 126 00:07:32,440 --> 00:07:34,560 Speaker 1: groups began to learn of the Web. It started to 127 00:07:34,560 --> 00:07:37,520 Speaker 1: get press coverage, and people began to get excited by 128 00:07:37,560 --> 00:07:41,040 Speaker 1: this concept of a computer network that you could access 129 00:07:41,080 --> 00:07:44,720 Speaker 1: and find real information and communicate with people in real time. 130 00:07:45,480 --> 00:07:48,560 Speaker 1: And here's a funny note. During this time, I was 131 00:07:48,600 --> 00:07:51,920 Speaker 1: in college, and my first impression of the Web at 132 00:07:51,960 --> 00:07:54,840 Speaker 1: that time was that it was slow, and it was 133 00:07:54,920 --> 00:07:58,200 Speaker 1: unattractive and it was superfluous. I had become used to 134 00:07:58,200 --> 00:08:01,600 Speaker 1: browsing the Internet using other means like tell net to 135 00:08:01,720 --> 00:08:06,000 Speaker 1: connect to chat rooms or games or whatever, or even 136 00:08:06,480 --> 00:08:10,400 Speaker 1: not full Internet access things like Bolton board systems, and 137 00:08:10,440 --> 00:08:13,119 Speaker 1: I just thought that the graphical approach to the Web 138 00:08:13,200 --> 00:08:17,400 Speaker 1: was completely unnecessary and slow things down. The browser had 139 00:08:17,440 --> 00:08:19,840 Speaker 1: to take time to get the information and render the 140 00:08:19,840 --> 00:08:23,440 Speaker 1: stuff you needed to see, and at the time, the 141 00:08:23,480 --> 00:08:27,240 Speaker 1: Internet connectivity and the power of computers meant that that 142 00:08:27,360 --> 00:08:30,120 Speaker 1: stuff took ages. And I just thought, well, who wants 143 00:08:30,160 --> 00:08:33,000 Speaker 1: to sit around forever to try and get this information 144 00:08:33,000 --> 00:08:35,760 Speaker 1: when you could get it so much faster using FTP 145 00:08:36,120 --> 00:08:38,200 Speaker 1: or tell net or whatever it may be, depending upon 146 00:08:38,240 --> 00:08:41,920 Speaker 1: the kind of information you're interested in. So I thought 147 00:08:42,000 --> 00:08:44,640 Speaker 1: the Web was probably a flash in the pan. It 148 00:08:44,679 --> 00:08:48,400 Speaker 1: would not be the last time I'd be radically wrong 149 00:08:48,440 --> 00:08:51,720 Speaker 1: about the technology you think I'd learned. At any rate, 150 00:08:51,720 --> 00:08:55,920 Speaker 1: by the Web was making headlines and e commerce became 151 00:08:55,960 --> 00:08:58,880 Speaker 1: a thing One of the earliest examples I could find 152 00:08:59,600 --> 00:09:05,520 Speaker 1: was that Pizza Hut sold a pizza online, actually allowing 153 00:09:05,520 --> 00:09:09,280 Speaker 1: customers to order pizza in some areas using the web. 154 00:09:09,920 --> 00:09:13,240 Speaker 1: The company Yahoo was founded around this time too, and 155 00:09:13,280 --> 00:09:15,959 Speaker 1: its main purpose at that time was to serve as 156 00:09:16,000 --> 00:09:18,600 Speaker 1: just a search engine to help search for the content 157 00:09:18,720 --> 00:09:21,040 Speaker 1: on the web, making it easier for people to find 158 00:09:21,040 --> 00:09:25,559 Speaker 1: stuff they wanted. Before search engines, it was pretty tough. 159 00:09:26,080 --> 00:09:28,960 Speaker 1: You had to be kind of you kind of had 160 00:09:28,960 --> 00:09:31,200 Speaker 1: to be part of the click that understood how the 161 00:09:31,200 --> 00:09:34,360 Speaker 1: web worked. Now today, we're all used to things like 162 00:09:34,400 --> 00:09:36,520 Speaker 1: you r l s where you have to type in 163 00:09:36,559 --> 00:09:38,440 Speaker 1: a web address. In fact, there may be a couple 164 00:09:38,440 --> 00:09:40,839 Speaker 1: of websites that you still navigate to by typing in 165 00:09:40,880 --> 00:09:45,040 Speaker 1: the web address, but not everyone is comfortable with that. 166 00:09:45,920 --> 00:09:48,160 Speaker 1: So search engines made it much easier for people to 167 00:09:48,240 --> 00:09:52,479 Speaker 1: interact with the web without having to memorize the protocol 168 00:09:52,559 --> 00:09:56,439 Speaker 1: that they would need in order to visit a specific website. Now, 169 00:09:56,559 --> 00:09:59,520 Speaker 1: much later than the early nineties, we look back on 170 00:09:59,559 --> 00:10:02,320 Speaker 1: the webs sites of this era as being pre Web 171 00:10:02,360 --> 00:10:06,160 Speaker 1: two point oh. For the most part, you could probably 172 00:10:06,200 --> 00:10:08,720 Speaker 1: call them web one point oh, but that's what we 173 00:10:08,800 --> 00:10:12,080 Speaker 1: call a retroonym, meaning we named it after the thing 174 00:10:12,160 --> 00:10:15,839 Speaker 1: had already happened. Uh. And it's kind of like World 175 00:10:15,920 --> 00:10:19,000 Speaker 1: War One. While World War One was going on, no 176 00:10:19,040 --> 00:10:21,360 Speaker 1: one referred to it as World War One. There had 177 00:10:21,400 --> 00:10:23,839 Speaker 1: not been a World War two yet, there'd be no 178 00:10:23,960 --> 00:10:27,960 Speaker 1: reason to call it world War one unless you expected 179 00:10:28,000 --> 00:10:30,440 Speaker 1: there to be another one, so you might use something else, 180 00:10:30,520 --> 00:10:34,600 Speaker 1: like the Great War. Uh. And it was only in 181 00:10:34,600 --> 00:10:37,240 Speaker 1: in a you know, in retrospect, when World War Two 182 00:10:37,320 --> 00:10:39,520 Speaker 1: broke out, that World War One really got that name. 183 00:10:41,040 --> 00:10:45,079 Speaker 1: So what actually defines web one point oh? For lack 184 00:10:45,120 --> 00:10:48,440 Speaker 1: of a better term, Not everyone even thinks web one 185 00:10:48,440 --> 00:10:50,719 Speaker 1: point oh is is a thing at all? Like it? 186 00:10:50,720 --> 00:10:53,280 Speaker 1: It doesn't make any sense, but some people will use 187 00:10:53,320 --> 00:10:57,240 Speaker 1: that term. But wasn't actually described well. The websites in 188 00:10:57,280 --> 00:11:02,200 Speaker 1: those days. Most of them were actually static pages, which 189 00:11:02,240 --> 00:11:04,200 Speaker 1: means you would navigate to a page and see what 190 00:11:04,320 --> 00:11:07,719 Speaker 1: was there, and after doing that, there'd probably be very 191 00:11:07,720 --> 00:11:10,280 Speaker 1: little reason to ever return to that page because it's 192 00:11:10,280 --> 00:11:13,360 Speaker 1: going to be pretty much the same. Uh. It's kind 193 00:11:13,360 --> 00:11:16,559 Speaker 1: of like the equivalent of a magazine or a book. 194 00:11:17,040 --> 00:11:18,880 Speaker 1: You know, if you go and you read a magazine 195 00:11:19,440 --> 00:11:21,800 Speaker 1: and you close the magazine, then you come back to it, 196 00:11:21,840 --> 00:11:24,080 Speaker 1: and you open it up to the same page, it's 197 00:11:24,080 --> 00:11:26,800 Speaker 1: going to be the same magazine article. It doesn't change 198 00:11:26,840 --> 00:11:28,960 Speaker 1: from one moment to the next. That's the way a 199 00:11:29,000 --> 00:11:32,200 Speaker 1: lot of websites were in the early days. We're gonna 200 00:11:32,200 --> 00:11:35,439 Speaker 1: make this episode even more dynamic and interactive in just 201 00:11:35,520 --> 00:11:45,840 Speaker 1: a moment, but first, let's take a quick break. Those 202 00:11:45,880 --> 00:11:48,880 Speaker 1: web pages didn't have any way for visitors to have 203 00:11:48,920 --> 00:11:52,600 Speaker 1: any kind of meaningful interaction on the site. At most, 204 00:11:52,679 --> 00:11:55,920 Speaker 1: there might be a visitor counter that would click up 205 00:11:55,920 --> 00:11:59,240 Speaker 1: a notch each time someone navigated to the website, and 206 00:11:59,280 --> 00:12:01,640 Speaker 1: those were a huge deal early on. I don't know 207 00:12:01,720 --> 00:12:04,760 Speaker 1: if you guys remember, but I remember lots of websites 208 00:12:04,800 --> 00:12:07,480 Speaker 1: having a visitor counter, and they took it as a 209 00:12:07,520 --> 00:12:10,880 Speaker 1: matter of pride when they passed a arbitrary milestone like 210 00:12:10,960 --> 00:12:14,240 Speaker 1: five thousand visitors or something like that. But there was 211 00:12:14,280 --> 00:12:16,720 Speaker 1: no way to leave comments or have any other impact 212 00:12:16,720 --> 00:12:19,200 Speaker 1: on the site for the most part for these types 213 00:12:19,240 --> 00:12:23,240 Speaker 1: of web pages. Now there were exceptions. Some websites were 214 00:12:23,240 --> 00:12:28,280 Speaker 1: dedicated to updating content regularly, or they were allowing people 215 00:12:28,320 --> 00:12:30,640 Speaker 1: to leave their own contributions, or even both of those 216 00:12:30,679 --> 00:12:33,520 Speaker 1: things at the same time. There was a student at 217 00:12:33,520 --> 00:12:38,160 Speaker 1: Swarthmore College named Justin Hall who started up a web page, 218 00:12:38,480 --> 00:12:40,920 Speaker 1: and originally it was just a collection of links that 219 00:12:40,960 --> 00:12:44,520 Speaker 1: he thought were particularly interesting. The website was called Justin's Links, 220 00:12:45,440 --> 00:12:48,040 Speaker 1: and not long after he started the site, he actually 221 00:12:48,040 --> 00:12:50,520 Speaker 1: saw the potential to do something more with it than 222 00:12:50,679 --> 00:12:53,360 Speaker 1: just show a collection of links, and he saw it 223 00:12:53,360 --> 00:12:56,040 Speaker 1: as a way to publish his thoughts to a global audience, 224 00:12:56,120 --> 00:12:58,480 Speaker 1: kind of like an online journal, and a lot of 225 00:12:58,480 --> 00:13:03,720 Speaker 1: people point to Justin's Links as being the first blog uh. 226 00:13:03,960 --> 00:13:06,040 Speaker 1: This sort of approach of using the web as sort 227 00:13:06,040 --> 00:13:08,920 Speaker 1: of a dynamic communication tool set the side apart from 228 00:13:08,960 --> 00:13:11,000 Speaker 1: a lot of the web pages that were around at 229 00:13:11,040 --> 00:13:14,199 Speaker 1: the same time, but many sites lacked that sort of 230 00:13:14,280 --> 00:13:17,720 Speaker 1: dynamic approach, and at the same time, companies began to 231 00:13:17,920 --> 00:13:21,120 Speaker 1: rush the web in hopes of beating competitors to the punch. 232 00:13:21,559 --> 00:13:23,559 Speaker 1: The web was viewed as kind of a Wild West 233 00:13:23,600 --> 00:13:26,120 Speaker 1: type of territory in which a company could stake its 234 00:13:26,160 --> 00:13:29,400 Speaker 1: claim online and stand to make a ton of money 235 00:13:29,440 --> 00:13:33,560 Speaker 1: in the short term before everyone else caught up. Simultaneously, 236 00:13:34,040 --> 00:13:36,960 Speaker 1: several companies emerged that used the web as the very 237 00:13:37,080 --> 00:13:41,640 Speaker 1: foundation for the company itself. Some of them offered goods 238 00:13:41,840 --> 00:13:46,320 Speaker 1: or services to consumers, so normal people who are just 239 00:13:46,600 --> 00:13:51,240 Speaker 1: using the web themselves. Others were targeting other companies and 240 00:13:51,280 --> 00:13:54,319 Speaker 1: they were offering up services meant to help businesses succeed. 241 00:13:54,679 --> 00:13:57,800 Speaker 1: But many of these lacked any sort of cohesive business plan, 242 00:13:57,960 --> 00:14:01,559 Speaker 1: which caused a big problem. They were offering up services 243 00:14:01,640 --> 00:14:04,720 Speaker 1: that some people found helpful, but they didn't have any 244 00:14:04,720 --> 00:14:07,680 Speaker 1: way of making money. And this obviously is not something 245 00:14:07,720 --> 00:14:10,600 Speaker 1: that's just gone away. We've seen this with lots of 246 00:14:10,640 --> 00:14:15,240 Speaker 1: different services, some of which exists solely as a means 247 00:14:15,280 --> 00:14:19,600 Speaker 1: to try and get acquired by other larger businesses. UH, 248 00:14:19,800 --> 00:14:22,960 Speaker 1: which can work if you have a great idea for 249 00:14:23,040 --> 00:14:25,360 Speaker 1: a service or app that people are going to really 250 00:14:25,440 --> 00:14:29,720 Speaker 1: enjoy using, but you don't have a way of generating 251 00:14:29,720 --> 00:14:33,400 Speaker 1: money from that. It might just be good enough to 252 00:14:33,440 --> 00:14:35,560 Speaker 1: get a lot of attention and then wait for someone 253 00:14:35,600 --> 00:14:37,920 Speaker 1: to offer to buy you. You know, maybe they'll figure 254 00:14:37,960 --> 00:14:39,800 Speaker 1: out a way of using it, or maybe they'll pair 255 00:14:39,880 --> 00:14:42,840 Speaker 1: it with stuff they already have, and that's how it 256 00:14:42,920 --> 00:14:48,080 Speaker 1: makes money. But back then, not having a plan just 257 00:14:49,200 --> 00:14:53,000 Speaker 1: wasn't really working for people. Towards the end of the 258 00:14:53,080 --> 00:14:57,440 Speaker 1: ninety nineties, web companies were sprouting up all over the place, 259 00:14:58,080 --> 00:15:01,680 Speaker 1: and investors were really excited at the opportunity to get 260 00:15:01,720 --> 00:15:03,640 Speaker 1: in on the ground floor of something that had the 261 00:15:03,640 --> 00:15:08,040 Speaker 1: potential to become huge, meaning you could stand to become 262 00:15:08,120 --> 00:15:11,840 Speaker 1: a millionaire overnight with some of these opportunities, and they 263 00:15:11,840 --> 00:15:15,600 Speaker 1: began to flood startup companies with cash. More than a 264 00:15:15,640 --> 00:15:18,240 Speaker 1: few of those startup companies ended up with way more 265 00:15:18,400 --> 00:15:21,880 Speaker 1: money than what they needed, and that encouraged some bad 266 00:15:21,960 --> 00:15:25,240 Speaker 1: decisions on the part of founders. A lot of founders 267 00:15:25,280 --> 00:15:31,440 Speaker 1: began to spend that excess cash by creating lavish headquarters 268 00:15:31,600 --> 00:15:37,120 Speaker 1: or crazy benefits for employees. Meanwhile, their businesses still didn't 269 00:15:37,120 --> 00:15:40,120 Speaker 1: have a way of making revenue. So, in other words, 270 00:15:40,400 --> 00:15:42,680 Speaker 1: let's say that you want to open up a lemonade stand, 271 00:15:43,120 --> 00:15:45,280 Speaker 1: and normally you would just need a few dollars to 272 00:15:45,480 --> 00:15:48,440 Speaker 1: buy some lemons and some sugar. You get some water, 273 00:15:48,520 --> 00:15:50,520 Speaker 1: and then you put all that together. Maybe you get 274 00:15:50,560 --> 00:15:52,880 Speaker 1: a little poster board to write up a sign. So 275 00:15:53,120 --> 00:15:57,080 Speaker 1: maybe you're starting budget is twenty dollars and you're selling 276 00:15:57,080 --> 00:15:59,560 Speaker 1: it for cents a cup, and you figure out that 277 00:15:59,640 --> 00:16:02,800 Speaker 1: after certain number of cups, you know you've got plenty 278 00:16:02,840 --> 00:16:05,720 Speaker 1: of of of supply. There after certain number of cups, 279 00:16:05,760 --> 00:16:08,480 Speaker 1: you're going to break even. Uh, and then after that's 280 00:16:08,480 --> 00:16:11,320 Speaker 1: all profit and you've got enough to make a decent 281 00:16:11,320 --> 00:16:15,640 Speaker 1: profit over your investment. Well, now imagine that you are 282 00:16:15,720 --> 00:16:18,920 Speaker 1: opening up that lemonade stand, but someone's given you twenty 283 00:16:19,080 --> 00:16:23,320 Speaker 1: thousand dollars and you don't have any way of scaling 284 00:16:23,440 --> 00:16:26,800 Speaker 1: up your operation, so you just spend that extra money 285 00:16:26,800 --> 00:16:31,240 Speaker 1: on a really nice lemonade stand and you know, a 286 00:16:31,400 --> 00:16:35,760 Speaker 1: super nifty titanium lemon crusher, that kind of stuff. It 287 00:16:35,800 --> 00:16:38,160 Speaker 1: doesn't help you make money in the long run. It 288 00:16:38,240 --> 00:16:41,720 Speaker 1: just means that's how you spent your your startup cash. 289 00:16:42,080 --> 00:16:44,840 Speaker 1: A lot of companies fell into this trap. You can 290 00:16:44,880 --> 00:16:48,760 Speaker 1: read about startups dot com industries in the late nineties 291 00:16:49,120 --> 00:16:53,680 Speaker 1: and how ridiculously lavish some of their offices were, and 292 00:16:53,840 --> 00:16:58,480 Speaker 1: it was a mess. So compounding that problem was the 293 00:16:58,480 --> 00:17:01,359 Speaker 1: fact that a lot of these companies were rewarding employees 294 00:17:02,000 --> 00:17:05,680 Speaker 1: by giving them shares of the company. Now, if everything 295 00:17:05,760 --> 00:17:09,560 Speaker 1: was working, fine, that's great, because those shares are worth 296 00:17:09,680 --> 00:17:11,600 Speaker 1: real money. Once you get to a point where the 297 00:17:11,800 --> 00:17:15,560 Speaker 1: employees are allowed to sell those shares, usually there's a 298 00:17:15,640 --> 00:17:18,320 Speaker 1: period where employees are not allowed to do that sort 299 00:17:18,359 --> 00:17:21,320 Speaker 1: of thing until they get to a particular point in 300 00:17:21,359 --> 00:17:26,119 Speaker 1: the fiscal year. But here's where the real problems came in, 301 00:17:26,200 --> 00:17:29,440 Speaker 1: because a lot of these companies began to falter when 302 00:17:29,440 --> 00:17:32,720 Speaker 1: people realized, hey, they don't really have a way of 303 00:17:32,760 --> 00:17:36,120 Speaker 1: making money and they can only keep treading water with 304 00:17:36,200 --> 00:17:40,119 Speaker 1: investment money for so long before everything falls apart. And 305 00:17:40,160 --> 00:17:42,240 Speaker 1: it was like a house of cards. It all fell down, 306 00:17:43,040 --> 00:17:46,080 Speaker 1: and it didn't all fall down on a single day. 307 00:17:46,119 --> 00:17:48,080 Speaker 1: It's not like there's a particular day you can point 308 00:17:48,080 --> 00:17:50,479 Speaker 1: to and say this is the day the bubble burst, 309 00:17:51,359 --> 00:17:54,600 Speaker 1: the bubble meaning this speculation bubble of the value of 310 00:17:54,640 --> 00:17:59,080 Speaker 1: dot com companies. Instead, it happened over a course of 311 00:17:59,200 --> 00:18:03,680 Speaker 1: years from nine thousand one essentially, and during that time, 312 00:18:03,720 --> 00:18:06,600 Speaker 1: people began to get more suspicious of dot com companies 313 00:18:06,600 --> 00:18:09,760 Speaker 1: that began to ask harder questions. The companies themselves were 314 00:18:09,760 --> 00:18:12,480 Speaker 1: starting to run out of that investment money, and because 315 00:18:12,520 --> 00:18:15,439 Speaker 1: they hadn't found a way to generate enough revenue, they 316 00:18:15,480 --> 00:18:18,760 Speaker 1: couldn't stay afloat, and a lot of them went completely 317 00:18:18,760 --> 00:18:21,960 Speaker 1: out of business. Some of them took serious hits to 318 00:18:22,160 --> 00:18:25,879 Speaker 1: their value. Amazon dot Com, for example, was around in 319 00:18:25,920 --> 00:18:28,200 Speaker 1: those days and for a while had shares that were 320 00:18:28,200 --> 00:18:30,560 Speaker 1: in the triple digit value, like over a hundred dollars 321 00:18:30,560 --> 00:18:34,520 Speaker 1: a share, but after the bubble burst it dropped to 322 00:18:34,840 --> 00:18:39,400 Speaker 1: less than ten dollars a share. Huge drop. But companies 323 00:18:39,440 --> 00:18:43,560 Speaker 1: like Amazon were large enough and and savvy enough to 324 00:18:43,760 --> 00:18:46,840 Speaker 1: wade through that time and emerge out the other side. 325 00:18:47,240 --> 00:18:50,600 Speaker 1: Not all companies were so lucky, And the worst part 326 00:18:50,640 --> 00:18:53,160 Speaker 1: of this is that those employees who had worked so 327 00:18:53,280 --> 00:18:57,200 Speaker 1: hard and had been rewarded in stock now found themselves 328 00:18:57,600 --> 00:19:01,520 Speaker 1: with worthless stock. The companies were bankrupt, so the shares 329 00:19:01,560 --> 00:19:05,040 Speaker 1: were not worth anything, and that was a huge issue. 330 00:19:05,040 --> 00:19:07,919 Speaker 1: So you had all these people who, for a while 331 00:19:08,240 --> 00:19:11,240 Speaker 1: on paper were millionaires and then suddenly they were broke, 332 00:19:11,440 --> 00:19:15,360 Speaker 1: or at least they weren't millionaires anymore. Many dot com 333 00:19:15,400 --> 00:19:19,399 Speaker 1: companies went on to business um and those that stayed 334 00:19:19,440 --> 00:19:23,240 Speaker 1: around people wanted to try and figure out, well, what 335 00:19:23,240 --> 00:19:25,880 Speaker 1: what set them apart, what made them different? How did 336 00:19:25,920 --> 00:19:28,920 Speaker 1: these companies survive, How did these websites make it through 337 00:19:28,960 --> 00:19:33,119 Speaker 1: the dot com bubble burst while so many others went away? 338 00:19:33,680 --> 00:19:36,479 Speaker 1: And that's where the term web two point oh really 339 00:19:36,520 --> 00:19:41,200 Speaker 1: comes into play. Now. Personally, I think it's a dumb term. 340 00:19:41,359 --> 00:19:45,800 Speaker 1: It's terrible. It suggests a chronological order, so it would 341 00:19:45,800 --> 00:19:48,320 Speaker 1: suggest that there was first Web one point oh and 342 00:19:48,320 --> 00:19:50,280 Speaker 1: then at some point there was a Web two point 343 00:19:50,280 --> 00:19:52,800 Speaker 1: oh release. Because it's very similar to the way we 344 00:19:52,840 --> 00:19:57,440 Speaker 1: look at software, for example, we're operating systems, but that's 345 00:19:57,520 --> 00:19:59,960 Speaker 1: not what this means. It's not the way it works. 346 00:20:00,440 --> 00:20:03,840 Speaker 1: So I think it's ultimately more confusing than helpful. But 347 00:20:04,119 --> 00:20:07,360 Speaker 1: that's what we have, uh. And the truth is that 348 00:20:07,480 --> 00:20:11,240 Speaker 1: both websites that were more in the Web one point 349 00:20:11,280 --> 00:20:14,920 Speaker 1: oh frame than the Web two point oh frame and 350 00:20:15,280 --> 00:20:17,760 Speaker 1: Web two point o websites existed at the same time. 351 00:20:17,800 --> 00:20:21,520 Speaker 1: In other words, this wasn't chronological. You can't point to 352 00:20:21,560 --> 00:20:25,480 Speaker 1: a date and say after this time all the websites 353 00:20:25,520 --> 00:20:30,359 Speaker 1: were Web two point oh. Even back in with Justin's links, 354 00:20:30,800 --> 00:20:34,000 Speaker 1: we start seeing Web two point oh philosophy working its 355 00:20:34,000 --> 00:20:37,840 Speaker 1: way into websites, and that was years before the dot 356 00:20:37,920 --> 00:20:43,480 Speaker 1: com bubble burst. So it's problematic using this term. But 357 00:20:43,560 --> 00:20:48,120 Speaker 1: at any rate, we need to look at what actually happened, 358 00:20:48,119 --> 00:20:50,159 Speaker 1: like why is this term around in the first place, 359 00:20:50,240 --> 00:20:55,960 Speaker 1: And that's because of the O'Reilly Media company. So in 360 00:20:55,960 --> 00:20:58,639 Speaker 1: two thousand four, Tim O'Reilly, who was the founder of 361 00:20:58,680 --> 00:21:02,560 Speaker 1: O'Reilly Media, and Dale Dougherty, who was a VP and 362 00:21:02,640 --> 00:21:05,480 Speaker 1: O'Reilly we're having a brainstorming session. They were trying to 363 00:21:05,520 --> 00:21:09,639 Speaker 1: come up with a an event that could really focus 364 00:21:09,880 --> 00:21:14,720 Speaker 1: on what makes a web company successful? Why were some 365 00:21:14,760 --> 00:21:18,199 Speaker 1: web companies able to survive while so many others failed. 366 00:21:18,920 --> 00:21:21,720 Speaker 1: What were the mistakes that the older websites made or 367 00:21:21,800 --> 00:21:24,560 Speaker 1: the failed websites made, and what were the success stories? 368 00:21:25,080 --> 00:21:27,080 Speaker 1: And so they started trying to think, well, how are 369 00:21:27,119 --> 00:21:29,880 Speaker 1: we going to define this, what's the what's the way 370 00:21:29,920 --> 00:21:34,920 Speaker 1: we create a catchy term to explain the new philosophy 371 00:21:35,000 --> 00:21:38,040 Speaker 1: of the web, the one that survived. And that's where 372 00:21:38,040 --> 00:21:41,760 Speaker 1: they came up with the term web two point oh. 373 00:21:41,880 --> 00:21:44,520 Speaker 1: And that was it. It was just to give a 374 00:21:44,640 --> 00:21:46,879 Speaker 1: name to a summit, the Web two point o Summit, 375 00:21:46,920 --> 00:21:50,400 Speaker 1: which took place in two thousand four, and they had 376 00:21:50,440 --> 00:21:55,359 Speaker 1: several since then. But they just wanted a way to say, 377 00:21:55,400 --> 00:21:58,400 Speaker 1: these are the type of websites that did all right 378 00:21:58,880 --> 00:22:01,040 Speaker 1: throughout the dot com by verse. These are the ones 379 00:22:01,080 --> 00:22:04,720 Speaker 1: that had the traits that allowed them to survive. Now, 380 00:22:04,720 --> 00:22:07,400 Speaker 1: in general, the qualities that define web two point oh 381 00:22:07,400 --> 00:22:10,240 Speaker 1: are that they tend to be dynamic pages rather than 382 00:22:10,280 --> 00:22:12,480 Speaker 1: static ones, meaning that there's a reason for you to 383 00:22:12,520 --> 00:22:15,679 Speaker 1: go back and look at it again. It's not something 384 00:22:15,720 --> 00:22:18,879 Speaker 1: that's going to be a page out of the encyclopedia 385 00:22:19,040 --> 00:22:21,800 Speaker 1: and it never ever changes. That makes it Web two 386 00:22:21,840 --> 00:22:25,280 Speaker 1: point oh. Another is that there tends to be some 387 00:22:25,359 --> 00:22:28,840 Speaker 1: way for users to generate content and submit it to 388 00:22:29,080 --> 00:22:33,160 Speaker 1: the website. That may be something along the lines of blogging, 389 00:22:33,440 --> 00:22:37,440 Speaker 1: where the users are journaling using the web page as 390 00:22:37,520 --> 00:22:40,880 Speaker 1: a place for their journal to go. Or it might 391 00:22:40,920 --> 00:22:45,240 Speaker 1: be social media site where they're just reaching out to 392 00:22:45,359 --> 00:22:48,760 Speaker 1: friends or sharing links or stories or jokes or whatever. 393 00:22:50,240 --> 00:22:54,320 Speaker 1: Or it might be something more akin to Amazon, where 394 00:22:54,400 --> 00:22:57,960 Speaker 1: users are able to review products that they've purchased, and 395 00:22:58,040 --> 00:23:01,680 Speaker 1: that adds value to Amazon because us future customers can 396 00:23:01,720 --> 00:23:04,560 Speaker 1: look at those reviews and make judgments, and then they 397 00:23:04,600 --> 00:23:08,680 Speaker 1: too can contribute to this system, and that makes the 398 00:23:08,720 --> 00:23:13,159 Speaker 1: whole experience of using Amazon more pleasant and robust and 399 00:23:13,359 --> 00:23:17,560 Speaker 1: useful to both the company and the consumer. These are 400 00:23:17,560 --> 00:23:20,520 Speaker 1: the sort of things that became known as the web 401 00:23:20,560 --> 00:23:25,440 Speaker 1: two point oh qualities. This dynamic approach with user generated content, 402 00:23:25,960 --> 00:23:29,920 Speaker 1: stuff that could be syndicated and be sent out across 403 00:23:30,040 --> 00:23:32,600 Speaker 1: multiple platforms. All of that was wrapped up in this, 404 00:23:33,480 --> 00:23:36,760 Speaker 1: and like I said, it does in fact cover things 405 00:23:36,800 --> 00:23:39,200 Speaker 1: like social media sites. If you look back on the 406 00:23:39,240 --> 00:23:43,520 Speaker 1: timeline of the major social media sites, they all emerged 407 00:23:43,760 --> 00:23:49,120 Speaker 1: after the dot Com bubble burst. There really weren't any 408 00:23:49,359 --> 00:23:52,840 Speaker 1: sites that kind of fall into that social media category 409 00:23:53,480 --> 00:23:57,520 Speaker 1: the way we think of today pre dot Com bubble burst. 410 00:23:57,600 --> 00:24:00,600 Speaker 1: Some of them were around right around then, like live journal, 411 00:24:01,119 --> 00:24:03,600 Speaker 1: but even then you would you could argue live Journal 412 00:24:03,640 --> 00:24:05,399 Speaker 1: was more of a blogging site and less of a 413 00:24:05,480 --> 00:24:09,159 Speaker 1: social media site. Things like Friendster and MySpace and Facebook, 414 00:24:09,640 --> 00:24:12,679 Speaker 1: all of those emerged after the dot Com bubble burst. 415 00:24:12,760 --> 00:24:16,720 Speaker 1: But they also embrace the philosophy of what O'Reilly was 416 00:24:16,760 --> 00:24:21,800 Speaker 1: calling web two point oh because those sites they aren't 417 00:24:21,880 --> 00:24:25,240 Speaker 1: valuable on their own. I mean, you don't go to 418 00:24:25,320 --> 00:24:28,480 Speaker 1: Facebook to see what Facebook has put up. You go 419 00:24:28,560 --> 00:24:31,199 Speaker 1: to Facebook to see what your friends are saying, or 420 00:24:31,280 --> 00:24:33,880 Speaker 1: to say something to your friends. It's the people who 421 00:24:33,920 --> 00:24:37,120 Speaker 1: are using the site that give it value, and that's 422 00:24:37,160 --> 00:24:40,000 Speaker 1: a big part of web two point oh. It and 423 00:24:40,119 --> 00:24:42,120 Speaker 1: in fact, it takes a lot of the pressure off 424 00:24:42,160 --> 00:24:44,879 Speaker 1: of the person creating the website. They have to make 425 00:24:44,920 --> 00:24:47,800 Speaker 1: it attractive enough for people to adopt it. But then 426 00:24:47,880 --> 00:24:51,000 Speaker 1: you just let the people make it important and you 427 00:24:51,160 --> 00:24:54,520 Speaker 1: step back. Same thing is true for Twitter. Twitter just 428 00:24:54,760 --> 00:24:59,240 Speaker 1: facilitates communication. It's the people using Twitter that make it useful. 429 00:24:59,359 --> 00:25:02,800 Speaker 1: If no one jumped on Twitter, it wouldn't be around. 430 00:25:03,320 --> 00:25:06,080 Speaker 1: There are other services that were similar to Twitter, some 431 00:25:06,200 --> 00:25:08,719 Speaker 1: of which people thought were superior to Twitter, but they 432 00:25:08,760 --> 00:25:12,680 Speaker 1: didn't get adopted as quickly, and they, for the most part, 433 00:25:12,720 --> 00:25:15,639 Speaker 1: are not around anymore. While we're on our journey to 434 00:25:15,720 --> 00:25:20,320 Speaker 1: Web three point oh, I guess let's uh, let's take 435 00:25:20,600 --> 00:25:22,960 Speaker 1: arrest here. We're gonna take a quick break to thank 436 00:25:23,000 --> 00:25:34,000 Speaker 1: our sponsor. So Web two point oh kind of points 437 00:25:34,040 --> 00:25:38,840 Speaker 1: to this idea of embracing the consumer as a an 438 00:25:38,920 --> 00:25:43,240 Speaker 1: integral part of your web presence. They're not just an audience, 439 00:25:43,680 --> 00:25:47,400 Speaker 1: They're a contributor in some way. And you could argue 440 00:25:47,400 --> 00:25:49,680 Speaker 1: the web two point oh isn't so much an evolution 441 00:25:49,760 --> 00:25:52,360 Speaker 1: as it is just a different approach to creating an 442 00:25:52,400 --> 00:25:55,840 Speaker 1: experience on the web, which also makes it difficult to 443 00:25:55,840 --> 00:25:58,159 Speaker 1: talk about what comes next. I mean, is there a 444 00:25:58,200 --> 00:26:03,040 Speaker 1: web three point oh? Does that even mean anything? Now? 445 00:26:03,080 --> 00:26:05,959 Speaker 1: I would argue that we definitely have seen more evolution 446 00:26:06,119 --> 00:26:10,240 Speaker 1: on the web since O'Reilly coined the web two point 447 00:26:10,240 --> 00:26:14,680 Speaker 1: oh term, particularly when it comes to stuff like data tracking, 448 00:26:15,680 --> 00:26:18,360 Speaker 1: that's huge, way bigger than it was in the mid 449 00:26:18,400 --> 00:26:21,840 Speaker 1: two thousand's. Because of data tracking, sites can customize a 450 00:26:21,920 --> 00:26:25,679 Speaker 1: user's experience and serve up advertising that is calculated to 451 00:26:25,720 --> 00:26:30,200 Speaker 1: be more effective for that user. And depending upon the implementation, 452 00:26:30,720 --> 00:26:34,680 Speaker 1: data tracking can be downright scary. And it turns out 453 00:26:34,720 --> 00:26:37,159 Speaker 1: you don't have to share that much data before a 454 00:26:37,240 --> 00:26:40,480 Speaker 1: computer can figure out who you are. Stuff that seems 455 00:26:40,520 --> 00:26:43,080 Speaker 1: really general, like just a zip code, can be enough 456 00:26:43,119 --> 00:26:46,320 Speaker 1: to narrow down just a few candidates. So if I 457 00:26:46,400 --> 00:26:49,920 Speaker 1: put my zip code in and I have just maybe 458 00:26:49,960 --> 00:26:52,920 Speaker 1: two or three other points of data, that might be 459 00:26:53,080 --> 00:26:56,560 Speaker 1: enough for an algorithm to really narrow down between me 460 00:26:56,680 --> 00:26:59,400 Speaker 1: and maybe one or two other people who I could 461 00:26:59,400 --> 00:27:04,680 Speaker 1: possibly be. It's actually pretty, you know, surprising, how little 462 00:27:04,680 --> 00:27:06,560 Speaker 1: information you need to share for that sort of stuff 463 00:27:06,600 --> 00:27:11,160 Speaker 1: to happen. Also, we know that data tracking can be misused, 464 00:27:11,400 --> 00:27:16,520 Speaker 1: either intentionally or not. There's the story about Target sending 465 00:27:17,000 --> 00:27:20,680 Speaker 1: the young woman uh some a young woman some some 466 00:27:21,000 --> 00:27:25,960 Speaker 1: coupons for expected mothers, and her father found out about 467 00:27:25,960 --> 00:27:30,520 Speaker 1: it and was really upset at Target because he thought 468 00:27:30,560 --> 00:27:34,080 Speaker 1: they had misidentified her. His daughter as being pregnant, and 469 00:27:34,119 --> 00:27:36,199 Speaker 1: then later on he found out that in fact she 470 00:27:36,359 --> 00:27:39,000 Speaker 1: was pregnant. But the whole point of that is that 471 00:27:39,040 --> 00:27:41,479 Speaker 1: Target was trying to be proactive and helpful, but in 472 00:27:41,600 --> 00:27:47,399 Speaker 1: fact caused a ruckus. It was a little too overenthusiastic 473 00:27:47,440 --> 00:27:50,159 Speaker 1: of a response, as it turns out, and that's largely 474 00:27:50,280 --> 00:27:53,320 Speaker 1: due to data tracking. You don't even have to identify 475 00:27:53,400 --> 00:27:55,520 Speaker 1: a person or to create a problem. It's not like 476 00:27:55,600 --> 00:27:59,439 Speaker 1: Target knew specifically who this young lady was. They just 477 00:27:59,480 --> 00:28:02,760 Speaker 1: identified that based upon our searches, she must be pregnant. 478 00:28:03,800 --> 00:28:06,960 Speaker 1: That's a problem. And we're seeing data tracking used and 479 00:28:07,000 --> 00:28:12,280 Speaker 1: everything from innocent or at least seemingly innocent approaches like, well, 480 00:28:12,320 --> 00:28:14,720 Speaker 1: you bought this one product, so here are five other 481 00:28:14,760 --> 00:28:18,320 Speaker 1: products that you will probably like based upon your preferences 482 00:28:18,359 --> 00:28:22,600 Speaker 1: that we've seen so far. That's not that creepy, But 483 00:28:22,680 --> 00:28:27,480 Speaker 1: there are other approaches where data tracking is downright sinister. 484 00:28:28,440 --> 00:28:30,240 Speaker 1: And I would argue that's a major part of the 485 00:28:30,280 --> 00:28:32,840 Speaker 1: web experience now, whether you're aware of it or not, 486 00:28:33,000 --> 00:28:36,520 Speaker 1: but it's definitely something that has evolved since Web two 487 00:28:36,600 --> 00:28:40,160 Speaker 1: point oh. But another real jump in the evolution of 488 00:28:40,200 --> 00:28:43,400 Speaker 1: the web comes to us because of mobile devices. Now. 489 00:28:44,240 --> 00:28:47,280 Speaker 1: O'Reilly recognized the importance of mobile devices all the way 490 00:28:47,280 --> 00:28:52,960 Speaker 1: back in two thousand four. O'Reilly Media said that interoperability 491 00:28:53,160 --> 00:28:55,400 Speaker 1: was one of the features of Web two point one 492 00:28:55,400 --> 00:28:59,560 Speaker 1: of the cornerstones of the philosophy, meaning that you should 493 00:28:59,600 --> 00:29:05,160 Speaker 1: be able to access this web page from multiple platforms, 494 00:29:05,720 --> 00:29:09,200 Speaker 1: whether it's a computer or a mobile device of some 495 00:29:09,280 --> 00:29:12,280 Speaker 1: sort or something else. Now, in two thousand and four, 496 00:29:12,440 --> 00:29:15,800 Speaker 1: there were really not that many devices that you could 497 00:29:15,920 --> 00:29:19,560 Speaker 1: use to connect to the web non in a meaningful way. 498 00:29:19,600 --> 00:29:21,480 Speaker 1: A lot of the phones that were out there were 499 00:29:21,560 --> 00:29:23,960 Speaker 1: more like, you know, they have text browsers for the web, 500 00:29:24,080 --> 00:29:26,440 Speaker 1: so you could read some text on certain web pages. 501 00:29:26,960 --> 00:29:31,640 Speaker 1: It was pretty limited. It wasn't until the smartphone really 502 00:29:31,680 --> 00:29:34,160 Speaker 1: took off here in the United States. That means it 503 00:29:34,360 --> 00:29:37,600 Speaker 1: was after the introduction of the iPhone that you really 504 00:29:37,600 --> 00:29:42,040 Speaker 1: started seeing that. So you get to a point now 505 00:29:42,160 --> 00:29:45,120 Speaker 1: where more and more people are using mobile devices to 506 00:29:45,160 --> 00:29:49,200 Speaker 1: access the web. I meant that web developers had to 507 00:29:49,240 --> 00:29:53,160 Speaker 1: make sure they were paying closer attention to the mobile 508 00:29:53,200 --> 00:29:58,320 Speaker 1: experience because if they ignored it, then a larger portion 509 00:29:58,360 --> 00:30:01,720 Speaker 1: of their audience was going to get upset with how 510 00:30:01,840 --> 00:30:06,520 Speaker 1: how clunky or unpleasant it was to access the website 511 00:30:06,640 --> 00:30:09,880 Speaker 1: using a mobile device, and in fact it's more important 512 00:30:09,880 --> 00:30:15,360 Speaker 1: than ever now. Uh. Just recently we've seen mobile browsing 513 00:30:15,760 --> 00:30:22,160 Speaker 1: outpace desktop browsing. In other words, more more website visits 514 00:30:22,280 --> 00:30:25,720 Speaker 1: are coming from mobile devices than desktop computers. That happened 515 00:30:25,760 --> 00:30:28,600 Speaker 1: for the first time about a year ago, a little 516 00:30:28,640 --> 00:30:32,200 Speaker 1: more than a year ago, and now we're seeing that 517 00:30:32,880 --> 00:30:35,720 Speaker 1: more people are using mobile devices to access the web. Now, 518 00:30:35,760 --> 00:30:38,520 Speaker 1: that doesn't mean that people have slacked off of using 519 00:30:38,560 --> 00:30:43,080 Speaker 1: desktop computers or laptops. People still are using those devices. 520 00:30:43,080 --> 00:30:45,480 Speaker 1: In fact, if you look at the trends, they're still 521 00:30:45,520 --> 00:30:49,160 Speaker 1: increasing year over year. So in two thousand fifteen, there 522 00:30:49,160 --> 00:30:52,080 Speaker 1: are more people accessing the web on desktops than there 523 00:30:52,080 --> 00:30:55,280 Speaker 1: were in two thousand fourteen. It's just that the growth 524 00:30:55,400 --> 00:31:01,040 Speaker 1: of mobile devices has skyrocketed, so it has outpaced the 525 00:31:01,080 --> 00:31:04,680 Speaker 1: growth of desktops, so both of them are up. It's 526 00:31:04,720 --> 00:31:09,000 Speaker 1: just mobile devices have increased much faster than desktop has. 527 00:31:10,280 --> 00:31:13,520 Speaker 1: But that means you have to pay attention to the 528 00:31:13,560 --> 00:31:18,080 Speaker 1: experience that your customers have. Your audience has both on 529 00:31:18,200 --> 00:31:20,280 Speaker 1: mobile and on desktop. You want to make sure that 530 00:31:20,360 --> 00:31:24,280 Speaker 1: it is attractive and usable and that people are able 531 00:31:24,360 --> 00:31:27,480 Speaker 1: to get the experience they want depending up. You know, 532 00:31:27,560 --> 00:31:29,720 Speaker 1: no matter what platform they happen to be using, whether 533 00:31:29,800 --> 00:31:33,200 Speaker 1: it's a tablet or a smartphone, or a console or 534 00:31:34,080 --> 00:31:38,600 Speaker 1: uh desktop computer, it needs to be a satisfying experience. 535 00:31:39,200 --> 00:31:41,920 Speaker 1: So I would argue that is now really a defining 536 00:31:41,960 --> 00:31:45,320 Speaker 1: feature of the web. And if I had to define 537 00:31:45,760 --> 00:31:48,440 Speaker 1: web three point oh, I'd likely argue that it has 538 00:31:48,480 --> 00:31:51,320 Speaker 1: to do with both the data tracking and the mobile 539 00:31:51,360 --> 00:31:55,600 Speaker 1: devices more than pretty much anything else. But web experiences 540 00:31:55,640 --> 00:31:58,760 Speaker 1: are becoming more customized to the individual browsers. So that 541 00:31:58,880 --> 00:32:03,080 Speaker 1: could mean that one day will move into the era 542 00:32:03,160 --> 00:32:06,960 Speaker 1: of the semantic web. Now, the semantic web is where 543 00:32:07,560 --> 00:32:10,800 Speaker 1: your experience will be very much personalized, and the web 544 00:32:10,840 --> 00:32:13,760 Speaker 1: itself will understand what it is you want to see 545 00:32:14,440 --> 00:32:19,640 Speaker 1: based upon context, word choice, your preferences, all of these 546 00:32:19,680 --> 00:32:22,000 Speaker 1: things that are wrapped up in things like data tracking 547 00:32:22,040 --> 00:32:25,400 Speaker 1: and understanding of natural language, that kind of stuff. We're 548 00:32:25,400 --> 00:32:28,120 Speaker 1: seeing a lot of development in that area. So maybe 549 00:32:28,160 --> 00:32:31,360 Speaker 1: one day we'll have a semantic web where when I 550 00:32:31,400 --> 00:32:33,800 Speaker 1: talk about surfing the web and when you talk about 551 00:32:33,800 --> 00:32:35,920 Speaker 1: serving the web, it will be two very different stories 552 00:32:35,960 --> 00:32:40,080 Speaker 1: because of our different styles. That's a possibility, but I 553 00:32:40,120 --> 00:32:42,440 Speaker 1: also think it's really likely we're gonna see the web 554 00:32:42,480 --> 00:32:47,360 Speaker 1: experience fracture as more services attempt to leverage various platforms. 555 00:32:48,240 --> 00:32:49,840 Speaker 1: Now what do I mean by that? It's starting to 556 00:32:49,840 --> 00:32:53,080 Speaker 1: sound like I'm talking business talk. But here's the simple 557 00:32:53,920 --> 00:32:58,680 Speaker 1: example that I'll use to illustrate my point. Think about Netflix. 558 00:32:59,440 --> 00:33:03,280 Speaker 1: So net extreaming has seen a ton of success over 559 00:33:03,320 --> 00:33:07,160 Speaker 1: the past few years. Put aside their their library of 560 00:33:07,240 --> 00:33:11,280 Speaker 1: movies and television series, which obviously mean that's that's problematic, 561 00:33:11,320 --> 00:33:16,040 Speaker 1: but the adoption of Netflix has been phenomenal, and I 562 00:33:16,080 --> 00:33:19,480 Speaker 1: would argue that our large reason for that is because 563 00:33:19,520 --> 00:33:23,400 Speaker 1: you weren't limited to computers or mobile devices to access Netflix. 564 00:33:23,440 --> 00:33:25,920 Speaker 1: You can access it on set top boxes, on video 565 00:33:25,920 --> 00:33:30,040 Speaker 1: game consoles, and more. Pretty much if the device was 566 00:33:30,120 --> 00:33:34,280 Speaker 1: capable of connecting to the internet. Netflix made sure it 567 00:33:34,320 --> 00:33:38,760 Speaker 1: could have some kind of platform on that device. They 568 00:33:38,760 --> 00:33:41,959 Speaker 1: wanted to get on everything they possibly could, and it 569 00:33:42,040 --> 00:33:46,040 Speaker 1: meant that they had widespread adoption. Beyond that, they were 570 00:33:46,080 --> 00:33:49,120 Speaker 1: really smart on the back end. They built out a 571 00:33:49,160 --> 00:33:51,800 Speaker 1: system so that you could have a kind of seamless 572 00:33:51,880 --> 00:33:55,480 Speaker 1: experience moving from one device to another. So if I 573 00:33:55,520 --> 00:33:58,320 Speaker 1: start watching a movie under my Netflix account, on my 574 00:33:58,440 --> 00:34:02,040 Speaker 1: laptop computer, and then I come home and I turn 575 00:34:02,120 --> 00:34:05,600 Speaker 1: on my video game console and I launched my Netflix app. 576 00:34:05,640 --> 00:34:08,000 Speaker 1: I can pick up where I left off because on 577 00:34:08,040 --> 00:34:11,040 Speaker 1: the back end, it's tracking everything. The same is true 578 00:34:11,080 --> 00:34:14,279 Speaker 1: for other services like YouTube. It's another great example. There 579 00:34:14,280 --> 00:34:17,680 Speaker 1: are YouTube smartphone apps and tablet apps and video game 580 00:34:17,719 --> 00:34:22,000 Speaker 1: console apps, and uh, that's the same sort of thing. 581 00:34:22,040 --> 00:34:26,080 Speaker 1: My experience on one can translate over to another so 582 00:34:26,120 --> 00:34:29,840 Speaker 1: that I can keep on building out this profile of 583 00:34:29,880 --> 00:34:34,000 Speaker 1: what I like, and YouTube will continuously suggest other videos 584 00:34:34,040 --> 00:34:37,640 Speaker 1: that are similar to ones that I've really enjoyed, which 585 00:34:37,719 --> 00:34:40,640 Speaker 1: might be why I have so many videos of dogs 586 00:34:40,680 --> 00:34:44,279 Speaker 1: on skateboards, or that could just be coincidence. I don't 587 00:34:44,280 --> 00:34:46,759 Speaker 1: really understand how it works behind the scenes. At any rate, 588 00:34:47,280 --> 00:34:51,440 Speaker 1: it's really interesting to me that that could potentially be 589 00:34:51,560 --> 00:34:54,600 Speaker 1: the new era. It's not so much a Web three 590 00:34:54,640 --> 00:34:57,279 Speaker 1: point oh as it could be a let's, you know, 591 00:34:57,360 --> 00:35:01,759 Speaker 1: let's look at how we can make our service across 592 00:35:01,800 --> 00:35:05,120 Speaker 1: all different platforms so people can access it however they want, 593 00:35:06,200 --> 00:35:08,600 Speaker 1: and that goes beyond Web. In fact, Web might be 594 00:35:08,680 --> 00:35:11,960 Speaker 1: too limited a term to use for that sort of thing, 595 00:35:13,200 --> 00:35:15,920 Speaker 1: which means we kind of need a new term for it. 596 00:35:15,960 --> 00:35:18,920 Speaker 1: We need to come up with a word that explains 597 00:35:19,160 --> 00:35:23,839 Speaker 1: this particular world one where you have these services that 598 00:35:24,320 --> 00:35:27,520 Speaker 1: go across all sorts of platforms, allowing you to access 599 00:35:27,520 --> 00:35:30,360 Speaker 1: it however you like. And I think I've come up 600 00:35:30,400 --> 00:35:35,399 Speaker 1: with a name. I'm calling it Frank. Frank's nice name. 601 00:35:36,040 --> 00:35:39,879 Speaker 1: Robin Day's got a hedgehog called Frank. But seriously, I'd 602 00:35:39,960 --> 00:35:42,759 Speaker 1: rather just kind of ditch the web two point oh 603 00:35:42,880 --> 00:35:46,000 Speaker 1: term altogether, which might be a moot point. I don't 604 00:35:46,000 --> 00:35:49,640 Speaker 1: know that anyone's still talking about web two point oh. Seriously, 605 00:35:49,960 --> 00:35:52,320 Speaker 1: it's kind of a non term at this point. But 606 00:35:52,360 --> 00:35:54,839 Speaker 1: I'd like to just erase it because I think web 607 00:35:54,840 --> 00:35:57,319 Speaker 1: two point oh was too confusing a term. I think 608 00:35:57,320 --> 00:36:01,960 Speaker 1: it misled people. It It compares the Web to things 609 00:36:02,040 --> 00:36:06,960 Speaker 1: like software patches or software versions, and that's not accurate. Um, 610 00:36:07,160 --> 00:36:09,560 Speaker 1: I really wish we could come up with a different 611 00:36:09,640 --> 00:36:15,799 Speaker 1: phrase for that particular the idea that doesn't suggest an evolution, 612 00:36:15,920 --> 00:36:18,839 Speaker 1: because it really was kind of a divergent path, not 613 00:36:18,960 --> 00:36:21,480 Speaker 1: so much that one evolved into the other, but one 614 00:36:21,520 --> 00:36:25,040 Speaker 1: approach was more successful than the other. I hope you 615 00:36:25,120 --> 00:36:27,920 Speaker 1: guys enjoyed that classic episode of tech Stuff. If you 616 00:36:28,000 --> 00:36:31,239 Speaker 1: have any suggestions for future episodes, you can contact me, 617 00:36:31,360 --> 00:36:34,600 Speaker 1: write me at tech stuff at how stuff works dot com, 618 00:36:34,719 --> 00:36:37,839 Speaker 1: or pop on by our website that's tech stuff podcast 619 00:36:37,920 --> 00:36:40,840 Speaker 1: dot com that has links to our social media presence, 620 00:36:41,080 --> 00:36:44,480 Speaker 1: also has links to the entire archive of all of 621 00:36:44,520 --> 00:36:48,040 Speaker 1: our episodes and a link to our online store, where 622 00:36:48,040 --> 00:36:49,880 Speaker 1: every purchase you make goes to help the show and 623 00:36:49,880 --> 00:36:52,640 Speaker 1: we greatly appreciate it, and I'll talk to you again 624 00:36:53,400 --> 00:37:01,920 Speaker 1: really soon from more on this and thousands of other topics. 625 00:37:02,160 --> 00:37:12,880 Speaker 1: Is that how stuff works dot com. M