1 00:00:00,680 --> 00:00:05,880 Speaker 1: Bloomberg Opinion informed perspectives, an expert, data driven commentary on 2 00:00:06,040 --> 00:00:10,760 Speaker 1: breaking news. Well, Hi, everybody, this is Bloomberg Opinion with 3 00:00:10,840 --> 00:00:14,120 Speaker 1: Tim Culpan, Bloomberg Opinion columnists joining us to look back 4 00:00:14,120 --> 00:00:16,480 Speaker 1: at what might have been. It might have been one 5 00:00:16,520 --> 00:00:19,480 Speaker 1: of the worst years for the tech industry that we've 6 00:00:19,520 --> 00:00:22,000 Speaker 1: seen in some time, and whether or not we might 7 00:00:22,000 --> 00:00:26,479 Speaker 1: see some light in the coming year. Tim, what say 8 00:00:26,520 --> 00:00:28,960 Speaker 1: you is you know, is it was it actually a 9 00:00:28,960 --> 00:00:32,120 Speaker 1: good year or a bad year? Well, the numbers point 10 00:00:32,159 --> 00:00:34,640 Speaker 1: a really bad year. The NANSDACK is on track for 11 00:00:34,960 --> 00:00:38,800 Speaker 1: its worst year in a decade, possibly two decades, depending 12 00:00:38,800 --> 00:00:41,919 Speaker 1: on how it plays out the next couple of days. Uh, 13 00:00:41,960 --> 00:00:44,640 Speaker 1: And of course the NASTAC is tech heavy. We also 14 00:00:44,680 --> 00:00:48,360 Speaker 1: saw crypto meltdowns after quite a lot of drama going 15 00:00:48,360 --> 00:00:51,559 Speaker 1: on this year in crypto. We saw a continuation of 16 00:00:51,600 --> 00:00:55,240 Speaker 1: some supply chain issues and chips being all out. Actually 17 00:00:55,280 --> 00:00:57,160 Speaker 1: see it as a good year because it's set up 18 00:00:57,200 --> 00:00:59,520 Speaker 1: a very good future. There's a lot of things that 19 00:00:59,560 --> 00:01:01,360 Speaker 1: happened to you that I think will make the next 20 00:01:01,400 --> 00:01:05,200 Speaker 1: five to ten years for tech very very exciting. And 21 00:01:05,240 --> 00:01:08,560 Speaker 1: to that end, Tim, you talk about the new paradigm, 22 00:01:08,560 --> 00:01:12,520 Speaker 1: I mean, what is that? Is it about algorithms? What 23 00:01:12,600 --> 00:01:16,520 Speaker 1: are we what are we waiting to see? Well, one 24 00:01:16,520 --> 00:01:18,800 Speaker 1: of the things that that we know is coming, we 25 00:01:18,800 --> 00:01:22,679 Speaker 1: don't know quite when is quantum computing. Now quantum computing 26 00:01:22,920 --> 00:01:27,199 Speaker 1: in a nutshell incident, Instead of crunching numbers in binary units, bits, 27 00:01:27,720 --> 00:01:30,319 Speaker 1: ones or zeros, you can do it in larger chunks 28 00:01:30,319 --> 00:01:33,720 Speaker 1: of information at a time. Uh. And that is really 29 00:01:33,720 --> 00:01:37,880 Speaker 1: really exciting, except if you're in charge of security, because 30 00:01:38,440 --> 00:01:41,759 Speaker 1: security would be could be compromised by quantum computing because 31 00:01:41,760 --> 00:01:45,680 Speaker 1: they're so powerful. But new standards came out this year, 32 00:01:45,800 --> 00:01:51,200 Speaker 1: new algorithms and equations for encrypting information that should make 33 00:01:51,280 --> 00:01:55,760 Speaker 1: the future quantum safe. This is very very geeky stuff 34 00:01:56,000 --> 00:01:57,800 Speaker 1: and there's really only a handful of people in the 35 00:01:57,840 --> 00:01:59,760 Speaker 1: world who are going to be getting their hands dirty 36 00:01:59,840 --> 00:02:02,840 Speaker 1: on is. But it is very important for the future, 37 00:02:02,960 --> 00:02:06,000 Speaker 1: for for email, for fintech, and and all sorts of 38 00:02:06,280 --> 00:02:10,440 Speaker 1: other applications that require security. And what this means is 39 00:02:10,520 --> 00:02:14,240 Speaker 1: that the industry can start moving forward, getting ready deploying 40 00:02:14,240 --> 00:02:17,639 Speaker 1: new systems and networks and infrastructure over the next few years, 41 00:02:18,160 --> 00:02:20,160 Speaker 1: knowing that you know, twenty years down the track, they 42 00:02:20,200 --> 00:02:22,440 Speaker 1: will be safe so it's the kind of thing that 43 00:02:22,440 --> 00:02:27,080 Speaker 1: that was sank below the surface of visibility this year, 44 00:02:27,200 --> 00:02:29,480 Speaker 1: but it was very important and it does make the 45 00:02:29,560 --> 00:02:33,560 Speaker 1: future of a post quantum era very very exciting. There 46 00:02:33,560 --> 00:02:38,200 Speaker 1: are always ethical issues tied to developments in artificial intelligence, 47 00:02:38,520 --> 00:02:40,560 Speaker 1: and just recently, I mean it's really only the past 48 00:02:40,560 --> 00:02:43,000 Speaker 1: couple of months that we've heard people talking about chat 49 00:02:43,040 --> 00:02:47,560 Speaker 1: GBT and that the fact that in that kind of 50 00:02:47,560 --> 00:02:49,560 Speaker 1: of intelligence, you know, you can get all kinds of 51 00:02:49,600 --> 00:02:54,239 Speaker 1: creative stuff put together, are the big ethical questions with 52 00:02:54,400 --> 00:02:58,280 Speaker 1: how far we can go there our huge questions. I 53 00:02:58,280 --> 00:03:00,360 Speaker 1: mean chat GPT and some of the chat apps have 54 00:03:00,440 --> 00:03:04,760 Speaker 1: now been used to write college essays, which of course 55 00:03:04,880 --> 00:03:09,520 Speaker 1: is a big problem for for sagearism and academic ethics. 56 00:03:09,560 --> 00:03:11,799 Speaker 1: But then we also have, you know, on the artwork 57 00:03:11,840 --> 00:03:14,080 Speaker 1: side and the visual arts side, we've got Daly and 58 00:03:14,160 --> 00:03:17,440 Speaker 1: various others that create artwork. You just type in a 59 00:03:17,480 --> 00:03:20,799 Speaker 1: few things like, uh, you know, draw a photo of 60 00:03:22,480 --> 00:03:25,320 Speaker 1: Brian and Doug sitting in a microphone and you'll do 61 00:03:25,400 --> 00:03:28,720 Speaker 1: it for you right, um And and that's exciting, but 62 00:03:28,840 --> 00:03:32,880 Speaker 1: nobody would want to see that. We all have a 63 00:03:32,919 --> 00:03:35,320 Speaker 1: good face for radio, don't we. Um. So The thing 64 00:03:35,360 --> 00:03:37,640 Speaker 1: about that is that it sucks up and hoovers up 65 00:03:37,640 --> 00:03:40,960 Speaker 1: a lot of photos and graphics out there on the 66 00:03:41,000 --> 00:03:45,080 Speaker 1: internet with our permission. So it's actually basing it on 67 00:03:45,320 --> 00:03:49,200 Speaker 1: real artwork made by real human artists and then adapts 68 00:03:49,240 --> 00:03:52,800 Speaker 1: that and uses that style. That's a real ethical issue 69 00:03:53,320 --> 00:03:56,720 Speaker 1: because essentially it's theft. It's it's ip and artistic theft. 70 00:03:56,800 --> 00:03:59,520 Speaker 1: So that's a big problem going forward. It really could 71 00:03:59,600 --> 00:04:02,480 Speaker 1: put out a lot of people out of out of jobs, 72 00:04:02,520 --> 00:04:05,760 Speaker 1: out of work. But you know, progress technology and progress 73 00:04:05,800 --> 00:04:08,360 Speaker 1: does that. You know, we don't have people making buggy 74 00:04:08,360 --> 00:04:11,800 Speaker 1: whips anymore because we have motor cars. So you know, 75 00:04:11,800 --> 00:04:14,120 Speaker 1: there is definitely a lot of ethical issues with AI, 76 00:04:14,200 --> 00:04:16,000 Speaker 1: but a lot of the developments we've seen in the 77 00:04:16,080 --> 00:04:18,719 Speaker 1: last top of months are very very exciting and and frankly, 78 00:04:18,720 --> 00:04:22,200 Speaker 1: it's progress and you can't stop progress. Tim one thing 79 00:04:22,240 --> 00:04:26,800 Speaker 1: that's defined is to take war within the US and China. 80 00:04:26,960 --> 00:04:30,360 Speaker 1: The US now wants to onshore chip production. TSMT has 81 00:04:30,360 --> 00:04:33,320 Speaker 1: already set up shop in Arizona. Will it work? Will 82 00:04:33,360 --> 00:04:39,080 Speaker 1: the US realize his dream? Well? I think their dream 83 00:04:39,160 --> 00:04:42,120 Speaker 1: is very grand. It's basically a moonshop project. I think 84 00:04:42,160 --> 00:04:43,960 Speaker 1: I think it'll be harder for them to get chip 85 00:04:43,960 --> 00:04:46,600 Speaker 1: independence that it was for the US to land a 86 00:04:46,720 --> 00:04:49,960 Speaker 1: man on the moon sixty years ago, But they're trying. 87 00:04:51,040 --> 00:04:53,960 Speaker 1: I think they won't get to full chip independence, but 88 00:04:54,200 --> 00:04:57,760 Speaker 1: clearly TSMC, as well as Samsung and even local names 89 00:04:57,800 --> 00:05:00,800 Speaker 1: like Intel on Texas Instruments are spending a lot of 90 00:05:00,839 --> 00:05:04,000 Speaker 1: money to build fabs. T SMC will bring some of 91 00:05:04,040 --> 00:05:07,520 Speaker 1: that technology to the US. They will still lag Taiwan, 92 00:05:08,040 --> 00:05:11,760 Speaker 1: but they'll get closer and closer to their goal. Just briefly, Tim, 93 00:05:11,839 --> 00:05:15,960 Speaker 1: did blockchain and cryptos get kicked in the knees this year? 94 00:05:17,240 --> 00:05:21,200 Speaker 1: Ah seriously got a real low blow this year across 95 00:05:21,240 --> 00:05:24,120 Speaker 1: the board. Obviously, the stuff that happening at FDx is 96 00:05:24,120 --> 00:05:26,800 Speaker 1: is what everyone's talking about now. It's a real dense 97 00:05:26,880 --> 00:05:29,600 Speaker 1: to the credibility of the crypto space. But you know 98 00:05:29,680 --> 00:05:32,240 Speaker 1: what happens is that a lot of it, It clears 99 00:05:32,320 --> 00:05:34,800 Speaker 1: out a lot of the charlatans in the industry, and 100 00:05:34,839 --> 00:05:37,760 Speaker 1: there's a lot of them, makes it stronger in the 101 00:05:37,800 --> 00:05:41,479 Speaker 1: long run. Many thanks s Bloomberg opinion columnist Tim Culpen. 102 00:05:41,560 --> 00:05:43,480 Speaker 1: You can find that on the terminal by typing O 103 00:05:43,680 --> 00:05:44,480 Speaker 1: p I n GO