WEBVTT 1 00:00:00.001 --> 00:00:05.280 Alright, welcome here aboard the moon rocket to Mars, or is that too bland a vision. 2 00:00:05.280 --> 00:00:08.380 So we could actually start with Elon Musk here. 3 00:00:08.380 --> 00:00:21.400 when we're talking about the ultra-future of AI, the guy still decided that we have to go to Mars, we have to develop AI, we have to bring emission-free energy, cars have to be electrified. 4 00:00:21.400 --> 00:00:33.480 And then we create a whole [unclear] and connect the mind to a computer, so with these humanity gets quite far, and out of that comes a kind of intergalactic species. 5 00:00:33.780 --> 00:00:39.300 Manage beyond Earth too, not just on Mars, but across the universe. 6 00:00:39.780 --> 00:00:44.500 At this level I'd like us to really let loose and speculate properly about where this A- 7 00:00:44.660 --> 00:00:45.800 -I train is taking us. 8 00:00:45.800 --> 00:00:50.360 So I can start, I'll do three scenarios on this thing. 9 00:00:50.840 --> 00:00:56.660 I'll start with the unpleasant scenario, meaning we're living in the 1999 IT bubble. 10 00:00:56.660 --> 00:01:04.500 Then we take 80 percent off the Nasdaq's valuations and carry on along a slow curve like that. 11 00:01:05.000 --> 00:01:07.960 We calculate future returns and values and sums. 12 00:01:07.960 --> 00:01:13.080 So that's the unpleasant reality that nobody hopes happens, but it could happen. 13 00:01:14.840 --> 00:01:18.680 The moderately bold scenario was that- 14 00:01:18.680 --> 00:01:30.039 this fast adoption of language models actually breaks down that resistance and things really start happening 15 00:01:30.500 --> 00:01:34.100 in curricula and in healthcare companies. 16 00:01:34.259 --> 00:01:39.619 Competitors show up offering AI doctor consultations for 29 euros. 17 00:01:41.979 --> 00:01:46.299 If we can generate that kind of buzz, that is, an accelerant. 18 00:01:46.619 --> 00:01:49.980 That reminds me of [unclear]. 19 00:01:49.980 --> 00:01:54.940 from the 90s, which Nokia also used, and the phases of technology adoption. 20 00:01:55.100 --> 00:02:00.360 In theory there's a possibility that through the user this kind of accelerated model of it comes about. 21 00:02:00.360 --> 00:02:11.160 And then maybe the bold vision, one I could still believe in this decade, would be that superintelligence, or this kind of self-reasoning AI- 22 00:02:11.160 --> 00:02:13.960 -happens within the next four or five years. 23 00:02:13.960 --> 00:02:21.640 That means, really, what Sami already described a bit at the start in the previous segment. 24 00:02:23.340 --> 00:02:32.700 The smartest people become the operators of these agent armies, or agent farms, and they become- 25 00:02:34.080 --> 00:02:41.800 Hey, create competitive advantage for yourself in your own profession, as a researcher, or an investor, or a consultant. 26 00:02:41.800 --> 00:02:46.440 and are able to run, say, a ten-person company on their own. 27 00:02:46.440 --> 00:02:56.560 That's why this was my pitch, this AI banker or AI lawyer, that if you're specialized enough in a laser-precise vertical. 28 00:02:56.560 --> 00:03:06.360 then you can basically be the best in Finland or the world, if you have this kind of super-AI army at your disposal. 29 00:03:06.360 --> 00:03:11.879 So you know a little bit of everything and you're able to handle everything. 30 00:03:11.879 --> 00:03:14.940 And then if you're the right person on top of it. 31 00:03:14.940 --> 00:03:23.420 Dosing it out correctly to different groups and in the right order, then you're actually pretty productive and efficient. 32 00:03:23.900 --> 00:03:26.380 I'd maybe argue toward Elon's angle. 33 00:03:26.540 --> 00:03:29.580 These types of scenarios, they're really interesting. 34 00:03:29.900 --> 00:03:32.300 Where am I getting these from, sci-fi? 35 00:03:32.300 --> 00:03:34.800 I've been watching since childhood. 36 00:03:34.800 --> 00:03:37.760 Then you can choose whether it's the Terminator that we believe in. 37 00:03:39.040 --> 00:03:42.400 The Black Mirror series on Netflix, all the seasons are worth watching. 38 00:03:42.400 --> 00:03:44.180 You'll find there, among other things, one- 39 00:03:44.180 --> 00:03:48.100 -one episode where people are watched over by these dog-like things. 40 00:03:49.380 --> 00:03:50.660 You might remember, maybe, if you've seen it. 41 00:03:50.740 --> 00:03:52.900 In my opinion, developing Ukraine before Russia. 42 00:03:53.380 --> 00:03:55.060 Without taking a stance on that. 43 00:03:55.300 --> 00:03:57.600 We already know that, over there. 44 00:03:57.600 --> 00:04:02.960 In the United States they've developed these kinds of dogs that watch over people, they don't have those iron jaws. 45 00:04:03.920 --> 00:04:09.240 When we keep talking about AI all the time, we're still really talking about algorithms and data. 46 00:04:09.240 --> 00:04:11.880 Then when that gets connected to this real world- 47 00:04:12.120 --> 00:04:19.600 Now there's this thing that isn't talked about much at all in Finland, humanoid robots and self-driving cars. 48 00:04:19.600 --> 00:04:23.360 Then, for example, these kinds of world models, World Foundation Model. 49 00:04:23.440 --> 00:04:26.900 We talk about these big language models, large language model. 50 00:04:26.900 --> 00:04:28.500 You forgot the flying cars. 51 00:04:28.820 --> 00:04:30.660 No, that's still coming. 52 00:04:31.620 --> 00:04:32.740 Everything's coming, but the talk- 53 00:04:32.900 --> 00:04:35.260 [unclear] 54 00:04:35.260 --> 00:04:38.700 They're making flying electric cars in China, even better cars. 55 00:04:39.740 --> 00:04:42.300 Surely the picture of that will change. 56 00:04:42.460 --> 00:04:45.340 Are we going to get to, are we going to travel around in those flying cars? 57 00:04:45.340 --> 00:04:46.460 That's another question. 58 00:04:46.540 --> 00:04:49.580 When it comes, the question is when. 59 00:04:50.259 --> 00:04:56.100 When we talk about large language models, I don't understand these robots or what we have. 60 00:04:57.060 --> 00:04:59.200 Why does the talk stay on that table, or- 61 00:04:59.200 --> 00:05:00.240 -or things of that type. 62 00:05:00.240 --> 00:05:14.160 And Nvidia released, at the start of '25, this first World Foundation Model, which specifically models this studio and understands that we don't just start floating up in the air here with [unclear], because we're sitting on this bench and I have gravity and all these basic things 63 00:05:14.680 --> 00:05:19.800 And this is the big, big thing, which is also one future scenario. 64 00:05:19.960 --> 00:05:22.900 Let's think about it, there's been a lot of talk now about the fact that- 65 00:05:22.900 --> 00:05:27.380 -how much is an appropriate reward for Elon Musk for this work that he does. 66 00:05:27.699 --> 00:05:31.740 There was all kinds of commotion about whether that's an appropriate amount. 67 00:05:31.740 --> 00:05:34.860 of dollars, whatever was promised to him for this work as pay, or not. 68 00:05:36.300 --> 00:05:40.140 Think about it, they've actually been developing this Optimus for a long time already. 69 00:05:40.300 --> 00:05:43.020 At the second book's release there was Optimus. 70 00:05:43.020 --> 00:05:51.420 So there was only the shell, it wasn't being moved around yet, but it was there as Tesla's partner, and Tesla's Optimus. 71 00:05:51.420 --> 00:05:54.600 It's a robot like that - whole, and looking like us, that kind of robot. 72 00:05:54.600 --> 00:05:58.280 But we've made incredible leaps of development in that. 73 00:05:58.280 --> 00:06:06.040 And for example just during this year alone, this innovation of how we grip some object - the skin is the decisive thing there. 74 00:06:06.040 --> 00:06:08.680 But this is actually based on, if we think about- 75 00:06:10.979 --> 00:06:15.300 -Tesla's valuation and think about what's going to happen to it. 76 00:06:15.300 --> 00:06:19.900 Waymo currently operates self-driving cars in certain cities. 77 00:06:19.900 --> 00:06:28.200 But if we then take the scenario where, well, autonomous cars, we start from the assumption that it happens, let's say, within five years in Finland- 78 00:06:28.200 --> 00:06:31.320 -cars will be able to drive out there in the rain. 79 00:06:32.120 --> 00:06:39.000 At [unclear] they also showed something where you can use a thermal camera to see all moving objects, much better, and moose and everything else. 80 00:06:39.000 --> 00:06:43.560 That the technology exists, it's just that there isn't [unclear] yet and so on. 81 00:06:44.680 --> 00:06:48.539 Elon and Musk build this kind of thing, where we- 82 00:06:48.539 --> 00:06:51.180 -basically forget about those EV drivers. 83 00:06:51.419 --> 00:06:54.620 Our cars actually move around completely on their own. 84 00:06:54.620 --> 00:06:57.740 We can rent - I don't own, I mean, a Tesla, but we would own- 85 00:06:58.039 --> 00:07:04.039 We could put them out on that farm, where they move around and anyone can make use of them, and crowdsourcing to the next level. 86 00:07:05.560 --> 00:07:07.960 This is an interesting one. 87 00:07:10.820 --> 00:07:16.580 In the real world, yes, AI will get there, and Optimus is indeed a good [unclear] for that. 88 00:07:16.900 --> 00:07:23.620 Maybe I'd put it together like this, that you have that super intelligent AI, which connects to your mental world, and you're able to replicate it. 89 00:07:23.660 --> 00:07:32.860 Then this access to the physical world, meaning there could well be physical avatars, meaning those Optimuses get to the level where I send my second- 90 00:07:32.880 --> 00:07:39.600 -double to go experience things on my behalf in various places, and if there's the cash for it, why not a couple more too. 91 00:07:40.240 --> 00:07:46.760 In the virtual world, my best AI butlers will probably already be chatting there in the fairly near future. 92 00:07:46.760 --> 00:07:48.440 -with other counterparts. 93 00:07:48.440 --> 00:07:52.600 That leaves even that fairly meaningless. 94 00:07:52.840 --> 00:07:58.680 I'm the same way too, in that I love reading sci-fi a ton, and enjoy these too- 95 00:07:58.860 --> 00:08:09.180 One of my favorite books is this Heinlein book, Stranger in a Strange Land, which is where this Grok comes from, who, if I recall, comes from Mars to experience Finland. 96 00:08:09.200 --> 00:08:14.480 The other is a sci-fi genre we share, which has been Iain Banks's Culture. 97 00:08:15.360 --> 00:08:18.900 That's where this brain [unclear] comes from, meaning in a way these data links. 98 00:08:18.900 --> 00:08:22.740 There, well-intentioned AIs really already reign. 99 00:08:23.060 --> 00:08:29.200 We're like Labrador retrievers, that fortunately they [unclear] us, but we get to fulfill ourselves. 100 00:08:29.200 --> 00:08:31.920 in many different ways, and with eternal life. 101 00:08:32.320 --> 00:08:41.500 In paintings across all the centuries, humans are depicted as this kind of person strolling in a meadow, as if- 102 00:08:41.500 --> 00:08:45.100 -as someone savoring life, as if that were the goal state. 103 00:08:45.259 --> 00:08:49.500 I'd ask you this, since you're talking about sci-fi and these innovations. 104 00:08:49.500 --> 00:08:53.500 What, in your view, would trigger this kind of fast- 105 00:08:57.860 --> 00:09:00.660 -not linear, but exponential development. 106 00:09:00.660 --> 00:09:01.620 Where would that come from? 107 00:09:01.860 --> 00:09:08.180 Yes, general AI is like that, it can indeed make better AIs. 108 00:09:09.900 --> 00:09:11.660 That's where the singularity happens. 109 00:09:13.340 --> 00:09:17.020 We're talking about Waymo's Lidar [unclear], or its competitor. 110 00:09:17.300 --> 00:09:28.019 And then maybe also our own use of it, which is scary too, because we're such a [unclear] people, that we don't have that data, some [unclear], and our teddy bears leak off into other countries. 111 00:09:28.600 --> 00:09:42.360 Then when, in a way, those tech bros over in the States, who actually have the money, are able to leverage it at the point when work becomes basically a trivial matter, then that capital will also possibly keep accumulating. 112 00:09:42.400 --> 00:09:44.480 [unclear] 113 00:09:44.720 --> 00:09:51.120 Our examples though, of how we use robots or self-driving cars, these kinds of cost savings. 114 00:09:52.400 --> 00:09:58.320 But here, in a way, the game between labor and capital ends almost certainly in capital's favor. 115 00:09:58.320 --> 00:10:06.240 That is, our ability to just create more value everywhere, but the thing about capital is its ability to accumulate exponentially. 116 00:10:06.280 --> 00:10:08.520 Returns are hardly going to disappear all of a sudden. 117 00:10:08.520 --> 00:10:11.880 There's always something worth putting it into. 118 00:10:13.959 --> 00:10:22.040 This is just an arms race, in that it never pays to be poor, but in this era, when the added value of labor is fading away. 119 00:10:22.060 --> 00:10:24.060 It's especially painful to be poor. 120 00:10:24.220 --> 00:10:30.460 But I'll still go through this, if we talk about these, whether we have a dystopia, where these young people actually get employed. 121 00:10:30.460 --> 00:10:36.339 Now of course in Finland we're in a special situation, we don't have productivity growth. 122 00:10:36.339 --> 00:10:43.620 And I just mentioned this IT sector, and relative to our population we have, for example, a huge number of coders. 123 00:10:43.860 --> 00:10:48.019 And now some of them happen to be sitting on the sidelines, and we're just not getting into that. 124 00:10:48.019 --> 00:10:50.899 But if we go a bit further from this, let's take the longer- 125 00:10:51.660 --> 00:10:57.579 Let's assume everyone gets everything they can out of AI, and Ville's question is, what triggers that innovation. 126 00:10:58.699 --> 00:11:01.060 Because right now we've been all along, it's become- 127 00:11:01.060 --> 00:11:02.660 -easier for the individual. 128 00:11:02.820 --> 00:11:04.340 You can do it with your phone. 129 00:11:04.340 --> 00:11:05.620 The AIs and everything are right there. 130 00:11:05.620 --> 00:11:08.660 So you don't need to open up your laptop, you can get that connectivity without it. 131 00:11:08.820 --> 00:11:10.000 You can do it on your phone. 132 00:11:10.000 --> 00:11:23.600 And in a way, when it comes into use for everyone over a huge surface area, that creates the effect that it isn't dropped from the top down, but rather, the bigger the population that starts making use of this- 133 00:11:23.600 --> 00:11:27.680 -that's where those innovations come from, the ones that change the game. 134 00:11:28.000 --> 00:11:34.160 If we still look back a bit, reflecting from history into the future, I think this could be a kind of renaissance era. 135 00:11:34.720 --> 00:11:41.519 And that renaissance era, well, none of us were around back then, we're not that old, we weren't part of it, after all. 136 00:11:41.680 --> 00:11:43.120 We might be. 137 00:11:43.560 --> 00:11:44.759 I think we're this kind of- 138 00:11:45.720 --> 00:11:48.199 Am I Michelangelo or Leonardo da Vinci? 139 00:11:49.079 --> 00:11:50.600 Hard to say which. 140 00:11:51.000 --> 00:11:52.600 Could just be a bit of both. 141 00:11:52.759 --> 00:11:53.880 A bit like both. 142 00:11:54.040 --> 00:11:57.480 That's at the individual level, that's just like- 143 00:11:59.680 --> 00:12:04.480 Do I have a goal, do I have a profession, what happens - but art and culture, it all started developing. 144 00:12:05.600 --> 00:12:07.940 We're at this point, so let's imagine- 145 00:12:07.940 --> 00:12:12.580 -we're not actually in '99, we're there on the threshold of progress, moving forward from here. 146 00:12:13.940 --> 00:12:15.700 What we're talking about is whether we have- 147 00:12:15.700 --> 00:12:18.740 -a five-day weekend and a two-day work week. 148 00:12:18.980 --> 00:12:24.020 These kinds of things - there've been all sorts of trials with universal basic income and so on. 149 00:12:24.240 --> 00:12:25.440 What would this be, I wonder? 150 00:12:25.440 --> 00:12:30.000 What if we thought more about spending time together, and that value creation came from somewhere else entirely. 151 00:12:30.800 --> 00:12:32.320 Unfortunately that happens with capital. 152 00:12:32.320 --> 00:12:34.640 Get it for other young people too. 153 00:12:34.640 --> 00:12:36.160 -rich parents. 154 00:12:36.320 --> 00:12:48.320 At least enough that they'll pay you a few tens of euros for an AI system here, while you're still able to build some kind of added value as commander-in-chief of an army of AI butlers. 155 00:12:48.500 --> 00:13:01.920 If General Miettinen is running that army worth ten person-years of work, then try to get into that group already at an early stage. 156 00:13:01.920 --> 00:13:13.040 Now it was said to the listeners that there are two things that trigger productivity or development - AI development and capital. 157 00:13:13.160 --> 00:13:16.600 -competition for the best innovations, and capital creates value. 158 00:13:16.600 --> 00:13:21.360 We might agree on that, well where would you be willing to put it now. 159 00:13:21.360 --> 00:13:23.040 Where's worth investing? 160 00:13:23.520 --> 00:13:33.339 Well, personally I invest pretty consistently in the index, and then sometimes I send a few tickers off into that 'UFO basket' over there. 161 00:13:33.339 --> 00:13:41.980 Electric car makers, or Hims and Hers, [unclear]. 162 00:13:43.060 --> 00:13:49.339 [unclear] and Hims and Hers is up 650 percent, this EHang is down 10 percent. 163 00:13:49.339 --> 00:13:58.320 Sometimes these are a bit like that, that the general index is better, even though it does have that awful 30% Magnificent Seven weighting. 164 00:13:58.320 --> 00:14:11.040 Then I put quite a bit, a little, into these private equity funds for the thrill of it, and maybe partly because of my job too, since these days I'm not into private equity 165 00:14:11.040 --> 00:14:18.560 -a member of the association's communications working group only, just enough to look on it a little favorably 166 00:14:20.140 --> 00:14:28.300 I'll throw in a bit of a different spin here, which maybe you didn't want to hear, but I'll answer anyway: invest in youth. 167 00:14:28.639 --> 00:14:34.079 That is, this is a great example, that we have a teenager here with us. 168 00:14:34.079 --> 00:14:36.100 And in a way, that- 169 00:14:36.100 --> 00:14:41.459 -what they're able to achieve is actually in our hands. 170 00:14:41.459 --> 00:14:45.699 And what I mean by that is, don't chain them down, set them free. 171 00:14:45.699 --> 00:14:50.800 Give them the chances to succeed and to fail and to bang their head against the wall on it. 172 00:14:50.800 --> 00:14:53.360 To that big [unclear], as much as it feels like it. 173 00:14:53.360 --> 00:14:59.259 And in a way that hopefully leads to, since we talked about these tech bros and such, about who- 174 00:14:59.259 --> 00:15:01.420 -who the next ones are. 175 00:15:01.420 --> 00:15:02.860 We have that expertise. 176 00:15:03.019 --> 00:15:07.440 This isn't about there being better intelligence over there across the water. 177 00:15:07.440 --> 00:15:11.200 Or whatever, on the other side of the globe there's a different kind of intelligence. 178 00:15:11.200 --> 00:15:20.300 Because still, if we take this huge globe that we have here, then in Finland we have this mass of people, of whom a certain generation is at hand right now. 179 00:15:20.300 --> 00:15:35.260 And in a way, how do we build that future security for them, and that mindset - I think about it myself, since of course as a family we face this angle every day, and where I invest, so in a way I want to build that future for them. 180 00:15:35.880 --> 00:15:45.600 If someone's listening and wondering whether we could hire some young person here to do it, even if it doesn't produce exactly that when you look at the euros, whatever that is, then take those young people on, seriously, because- 181 00:15:45.600 --> 00:15:49.440 -then once they get into it and do these things. 182 00:15:49.440 --> 00:15:51.120 That's where the capital comes from. 183 00:15:51.120 --> 00:15:56.480 And in a way, the capitalist perspective on that is, it has to start somewhere. 184 00:15:56.639 --> 00:15:58.800 It's these garage companies, that's where these started from. 185 00:15:58.800 --> 00:16:05.760 These [unclear] and so on getting going, if you remember the Microsoft story, from that garage, and Silicon Valley. 186 00:16:05.839 --> 00:16:07.839 Why couldn't that be here with us? 187 00:16:08.000 --> 00:16:10.660 We actually do have good examples like that. 188 00:16:10.660 --> 00:16:14.100 For example this whole semiconductor technology right now. 189 00:16:14.100 --> 00:16:20.660 Let's think about what that story was - at [unclear] - where they told this Drone Sensor Fusion story. 190 00:16:21.140 --> 00:16:23.220 Drove the package by car. 191 00:16:23.440 --> 00:16:24.240 Ukraine. 192 00:16:24.240 --> 00:16:27.040 And took those first devices out there, pretty much himself. 193 00:16:27.040 --> 00:16:31.300 And now let's see, okay, there's this super-cycle going on now in defense technology. 194 00:16:31.300 --> 00:16:35.860 And in a way the angle, where we talked about [unclear] earlier. 195 00:16:35.860 --> 00:16:39.779 And these get created, they want to generate that capital from there. 196 00:16:42.200 --> 00:16:46.200 Look in the mirror a bit, now let's actually bring the youth into this. 197 00:16:47.320 --> 00:16:51.480 A third perspective, so viewers and listeners get something a bit different. 198 00:16:52.240 --> 00:16:55.920 Sami had the UFO basket and the indices. 199 00:16:55.920 --> 00:16:57.680 You had youth. 200 00:16:57.680 --> 00:17:05.240 I'd say now it's worth founding service companies that focus on individuals'- 201 00:17:05.240 --> 00:17:14.120 -in developing AI skills, or service companies that remove AI-adoption barriers in some industry. 202 00:17:14.360 --> 00:17:19.079 Because once again in Finland IT consultants are trying to code something 203 00:17:19.260 --> 00:17:22.459 -or bring about some kind of revolution through software. 204 00:17:22.459 --> 00:17:23.980 This is quite clearly- 205 00:17:25.819 --> 00:17:32.040 -a user-driven revolution, and we could learn a lot, as long as we find a way here to- 206 00:17:32.040 --> 00:17:33.640 -expose the masses to it. 207 00:17:33.640 --> 00:17:40.680 It came to mind, that just under ten years ago, Reaktor made that first AI course. 208 00:17:42.240 --> 00:17:51.600 Yeah, satellite too, but Elements of AI, which - jeez, look at that - something like 150,000, I have that diploma, 200,000 consumers. 209 00:17:51.600 --> 00:17:53.120 Now we need more launches like that. 210 00:17:54.240 --> 00:17:56.960 Now let's really decide on these kinds of big citizen initiatives. 211 00:17:57.080 --> 00:18:01.880 -citizen initiatives, citizen-driven launches, that are really easy to grasp and understand. 212 00:18:01.880 --> 00:18:02.920 Now I need for this- 213 00:18:02.920 --> 00:18:03.000 . 214 00:18:03.000 --> 00:18:04.040 This is our idea. 215 00:18:04.040 --> 00:18:05.279 Why we were founded. 216 00:18:05.279 --> 00:18:05.760 4. 217 00:18:05.840 --> 00:18:06.320 Saalto. 218 00:18:06.320 --> 00:18:08.639 AI-native, consulting company. 219 00:18:08.639 --> 00:18:09.760 It's specifically that we basically want to- 220 00:18:09.919 --> 00:18:12.080 To put that in Finnish, is that some [unclear]? 221 00:18:13.200 --> 00:18:14.720 Service business. 222 00:18:14.720 --> 00:18:20.000 If there are any executives listening right now, we focus on this: we run them through the wringer. 223 00:18:20.000 --> 00:18:27.800 So the insight for management teams there is, really, this - now Sami, do you have a personal mentor. 224 00:18:27.800 --> 00:18:30.040 -telling you what to do with this AI. 225 00:18:30.040 --> 00:18:34.440 What is your Translink Corporate management team doing together on this? 226 00:18:34.440 --> 00:18:42.360 If you get taken through this kind of AI coaching program, frankly this service exists, so welcome, just come on and make a deal. 227 00:18:43.080 --> 00:18:51.140 That gets you the big masses, but how do we get - in these service companies I agree, IT consulting has been pretty much the same for years and years. 228 00:18:51.140 --> 00:18:56.020 Now with the help of AI you can do it in a really different way when it comes to producing value. 229 00:18:56.020 --> 00:18:59.140 So basically this, that we have just a huge amount- 230 00:18:59.220 --> 00:19:00.900 All the information is available, after all. 231 00:19:01.780 --> 00:19:03.900 How do we motivate people? 232 00:19:03.900 --> 00:19:05.100 Are you? 233 00:19:05.100 --> 00:19:06.140 Do you do yoga? 234 00:19:06.460 --> 00:19:11.180 No, but Translink's [unclear] does [unclear] at the maritime days, every hour. 235 00:19:12.460 --> 00:19:18.000 The guy comes into the workplace and says that this yoga thing is actually a really big deal. 236 00:19:18.000 --> 00:19:25.200 Now we all go, Friday morning, onto the meeting room floor, and roll out those mats, and now let's do a bit of yoga and stretch. 237 00:19:25.200 --> 00:19:27.360 And then the weekend comes, and on Monday- 238 00:19:27.520 --> 00:19:29.760 -how many are still doing yoga. 239 00:19:29.760 --> 00:19:31.280 Well, not very many. 240 00:19:32.000 --> 00:19:32.720 This needs to- 241 00:19:33.760 --> 00:19:39.280 The service exposes people to that, so we get that intrinsic motivation. 242 00:19:39.760 --> 00:19:41.900 [unclear] 243 00:19:41.900 --> 00:19:45.100 Are we going to attend some Elements of AI course? 244 00:19:45.100 --> 00:19:46.940 But that ought to turn into action there. 245 00:19:47.660 --> 00:19:49.580 Then that comes down to incentives. 246 00:19:49.660 --> 00:19:51.100 What do you have- 247 00:19:51.620 --> 00:19:56.740 You're on some company's board, what's your incentive to adopt AI? 248 00:19:56.900 --> 00:19:59.620 Is it that you want to do that board work better? 249 00:19:59.620 --> 00:20:01.700 Do you want to grow that company's value? 250 00:20:01.700 --> 00:20:03.340 And once we get to this? 251 00:20:03.340 --> 00:20:05.900 These are the thresholds that we can remove. 252 00:20:08.299 --> 00:20:09.820 How do we get the whole 5 million? 253 00:20:09.820 --> 00:20:10.700 It is a pretty small country, after all. 254 00:20:11.100 --> 00:20:16.620 I myself run it with a messianic approach, in that I've founded, in this recent period, both Translink 255 00:20:17.980 --> 00:20:21.820 Vibecoding Society, where I myself serve as the messianic founder. 256 00:20:22.620 --> 00:20:26.480 Into these images, moods, and messianic beginnings, AI- 257 00:20:26.480 --> 00:20:32.400 -the future is going to be amazing, whether it's over there in the UFO corner, or in this dystopia corner. 258 00:20:32.400 --> 00:20:33.600 Thank you, and gentlemen. 259 00:20:33.760 --> 00:20:34.080 Thanks. 260 00:20:34.080 --> 00:20:38.400 As we noticed from this episode too, an explainer is always needed, a world explainer. 261 00:20:39.360 --> 00:20:41.280 Since you've watched this far, go ahead and check out- 262 00:20:41.880 --> 00:20:48.200 -here's our original episode from the Social Democrat side, as [unclear] would say. 263 00:20:48.200 --> 00:20:49.240 Thank you. 264 00:20:49.240 --> 00:20:49.880 Thanks