1 00:00:00,720 --> 00:00:02,400 Speaker 1: Here the dupless Ellen. Right. 2 00:00:02,400 --> 00:00:04,640 Speaker 2: Well, there's been an increasing amount of chatter in the 3 00:00:04,680 --> 00:00:07,760 Speaker 2: market about humanoids, and absolutely I can hear you asking 4 00:00:07,760 --> 00:00:10,000 Speaker 2: what on earth are humanoids, because I've been asking about 5 00:00:10,600 --> 00:00:12,800 Speaker 2: the very same question myself and Sam Dicky from Fisher 6 00:00:12,800 --> 00:00:16,520 Speaker 2: Funds fortunately does know. Hey Sam, everyone, then what is 7 00:00:16,560 --> 00:00:17,200 Speaker 2: a humanoid? 8 00:00:18,440 --> 00:00:21,040 Speaker 1: Yes, very jets and I don't know if you remember 9 00:00:21,040 --> 00:00:24,800 Speaker 1: that program, but think of the human looking robots on 10 00:00:24,840 --> 00:00:27,200 Speaker 1: that So the robot looks similar to a human, has 11 00:00:27,280 --> 00:00:30,800 Speaker 1: human characteristics, for example, the ability to walk up right 12 00:00:30,880 --> 00:00:35,320 Speaker 1: to grasp things with its fingers, and the humanoid is 13 00:00:35,360 --> 00:00:39,120 Speaker 1: designed to kind of copy human actions and even human reasoning. 14 00:00:39,840 --> 00:00:41,400 Speaker 2: Why do we need these things. 15 00:00:42,600 --> 00:00:44,760 Speaker 1: As well? I guess what's the background here? The first 16 00:00:44,800 --> 00:00:47,239 Speaker 1: real robots are invented in the nineteen fifties, and they 17 00:00:47,240 --> 00:00:50,199 Speaker 1: were more mechanical than intelligent and money for the repetitive 18 00:00:50,240 --> 00:00:53,040 Speaker 1: tasks and factories. And over the last seventy years these 19 00:00:53,040 --> 00:00:55,880 Speaker 1: things have evolved pretty quickly. And just give you a 20 00:00:55,960 --> 00:00:58,760 Speaker 1: factory where we're up to now. You might have heard 21 00:00:58,760 --> 00:01:02,640 Speaker 1: of their humanoids, so fear and twenty seventeen a very 22 00:01:02,840 --> 00:01:05,920 Speaker 1: very human looking humanoid that was granted citizenship by Saudi 23 00:01:05,920 --> 00:01:08,520 Speaker 1: Arabia in twenty seventeen. Oh now, a bit of a 24 00:01:08,520 --> 00:01:11,360 Speaker 1: publicity stunt point, as though robots have come a very 25 00:01:11,400 --> 00:01:14,839 Speaker 1: very long way, and most for most of the last 26 00:01:14,840 --> 00:01:19,039 Speaker 1: seven years they learn very gradually. But in the generative 27 00:01:19,160 --> 00:01:21,880 Speaker 1: AI world, they can now learn by understanding every day 28 00:01:21,959 --> 00:01:26,319 Speaker 1: language company what they see and looing curves and performed 29 00:01:26,360 --> 00:01:30,160 Speaker 1: accuracy is paying to jump or pass performace accuracy started 30 00:01:30,200 --> 00:01:33,959 Speaker 1: to jump faster than ever before, so pretty exciting times. 31 00:01:34,000 --> 00:01:37,720 Speaker 1: And the reason they take a human shape because because 32 00:01:37,760 --> 00:01:40,559 Speaker 1: most of the four million robots and operations today don't 33 00:01:40,560 --> 00:01:44,759 Speaker 1: look anything like you or I is because the world 34 00:01:44,800 --> 00:01:46,800 Speaker 1: is created for humans. So if they could button levers 35 00:01:46,840 --> 00:01:50,400 Speaker 1: controllers designed to be operated by humans, so human dexterity 36 00:01:50,440 --> 00:01:53,480 Speaker 1: and human hands and fingers are required to operate efficiently 37 00:01:53,520 --> 00:01:55,720 Speaker 1: in this world of ours, right, So. 38 00:01:55,720 --> 00:01:58,120 Speaker 2: What if the robot is in the shape of a human, 39 00:01:58,160 --> 00:01:59,880 Speaker 2: therefore they will be able to use the world as well. 40 00:02:00,120 --> 00:02:00,639 Speaker 2: That the thinking. 41 00:02:01,320 --> 00:02:01,920 Speaker 1: That's the thinking. 42 00:02:01,960 --> 00:02:04,840 Speaker 2: Yet right, Okay, why all of a sudden have they 43 00:02:04,840 --> 00:02:06,680 Speaker 2: popped up as being something that we're interested in? 44 00:02:07,840 --> 00:02:10,160 Speaker 1: Yeah, while we talking about them right now. As always 45 00:02:10,160 --> 00:02:13,480 Speaker 1: with these things, it's the confluence of several things coming 46 00:02:13,520 --> 00:02:15,720 Speaker 1: together at once. So for humanoids, the first thing is 47 00:02:16,280 --> 00:02:19,320 Speaker 1: improvements in the parts that make the move called actuators, 48 00:02:19,360 --> 00:02:22,239 Speaker 1: which turn energy into movement. They've made leaps and bounds. 49 00:02:22,520 --> 00:02:26,240 Speaker 1: Improvements in the gears that help them move smoothly not clinkily. 50 00:02:26,919 --> 00:02:30,119 Speaker 1: That's come a long way. Improvements and prosthetics or artificial 51 00:02:30,120 --> 00:02:32,160 Speaker 1: limbs have come a long way. And of course the 52 00:02:32,280 --> 00:02:34,120 Speaker 1: huge leaps in compute power that you and I have 53 00:02:34,160 --> 00:02:36,520 Speaker 1: talked a lot about have created a platform for more 54 00:02:36,520 --> 00:02:38,760 Speaker 1: explosive growth. So that's the first thing. The second thing 55 00:02:38,880 --> 00:02:42,320 Speaker 1: is the competition to build these things is ramping up too, 56 00:02:42,400 --> 00:02:44,160 Speaker 1: so a lot more companies, they're putting a lot more 57 00:02:44,160 --> 00:02:47,560 Speaker 1: money into it. So where he's like Toyota Hands and Robotics, 58 00:02:47,560 --> 00:02:51,040 Speaker 1: Boss Dynamics are in the race, but of course Tesla's 59 00:02:51,080 --> 00:02:54,000 Speaker 1: in there as well. And Elon Mask thinks there will 60 00:02:54,000 --> 00:02:57,320 Speaker 1: be one billion of these things by twenty forty. 61 00:02:57,680 --> 00:03:01,000 Speaker 2: Wow, Okay, if we do have mening, even if we 62 00:03:01,000 --> 00:03:02,880 Speaker 2: don't have that many, what impact are they going to 63 00:03:02,919 --> 00:03:06,040 Speaker 2: have on society and economies and labor. 64 00:03:07,200 --> 00:03:08,880 Speaker 1: Quite a bat, I think. So there's only four million 65 00:03:09,080 --> 00:03:12,400 Speaker 1: that operation today, but they're kind of mechanic alarms operating 66 00:03:12,440 --> 00:03:16,200 Speaker 1: in factories. But the thing is, the need for humanoids 67 00:03:16,280 --> 00:03:19,000 Speaker 1: is becoming more acute. So the working age population and 68 00:03:19,120 --> 00:03:22,680 Speaker 1: just China and the OECD or the Western world for example, 69 00:03:23,080 --> 00:03:25,320 Speaker 1: is shrinking. So it's around one point eight billion today 70 00:03:25,400 --> 00:03:28,519 Speaker 1: and by twenty fifty that will be three hundred million 71 00:03:29,040 --> 00:03:32,239 Speaker 1: people smaller. And not only will it shrink, but the 72 00:03:32,320 --> 00:03:34,800 Speaker 1: remaining one point five billion people were much older. So 73 00:03:36,200 --> 00:03:38,120 Speaker 1: we do need these things. And it's of course it's 74 00:03:38,200 --> 00:03:41,920 Speaker 1: unsettling to think about these things taking over so many jobs, 75 00:03:41,960 --> 00:03:44,600 Speaker 1: but the reality is the shift is going to take decades, 76 00:03:44,640 --> 00:03:47,160 Speaker 1: not years, and it's better to be prepared and better 77 00:03:47,200 --> 00:03:51,320 Speaker 1: informed rather than hoping it doesn't happen. 78 00:03:52,320 --> 00:03:54,000 Speaker 2: So is it a case of investors just kind of 79 00:03:54,000 --> 00:03:56,640 Speaker 2: getting ahead of it before it actually takes off completely? 80 00:03:57,840 --> 00:04:00,760 Speaker 1: Well, I mean maybe not so much because of the 81 00:04:00,880 --> 00:04:04,400 Speaker 1: eery bleeding edge. It's a very early stage investment thematic, 82 00:04:04,480 --> 00:04:07,120 Speaker 1: so it should be treated with caution. However, it's one 83 00:04:07,160 --> 00:04:08,920 Speaker 1: to definitely keep on the radar and keep an eye 84 00:04:08,960 --> 00:04:11,520 Speaker 1: out for so over the next year or so, there's 85 00:04:11,760 --> 00:04:13,120 Speaker 1: a few big things that are going to happen, so 86 00:04:13,120 --> 00:04:16,159 Speaker 1: we're going to have the unvaiving of tesmans Optimus Generation 87 00:04:16,360 --> 00:04:19,440 Speaker 1: three humanoid, which will operate more outside of the factory, 88 00:04:19,480 --> 00:04:22,760 Speaker 1: even in the home, and more details on Figure AIS 89 00:04:22,839 --> 00:04:26,279 Speaker 1: humanoid figure out two which has just been released, but 90 00:04:26,320 --> 00:04:28,680 Speaker 1: it is early days. These things costs. These things cost 91 00:04:28,720 --> 00:04:31,400 Speaker 1: fifty two, one hundred and fifty thousand dollars. That are 92 00:04:31,400 --> 00:04:33,480 Speaker 1: a long way away from commercial scale, but I think 93 00:04:33,520 --> 00:04:35,400 Speaker 1: it's a kind of bleeding edge thematic to keep an 94 00:04:35,440 --> 00:04:35,719 Speaker 1: eye on. 95 00:04:36,000 --> 00:04:38,680 Speaker 2: Yeah, how fascinating, Sam, Thank you very much, really appreciate that. 96 00:04:38,680 --> 00:04:42,320 Speaker 2: That's Sam Dickey Fisher Funds Humanoids Who Knew. For more 97 00:04:42,360 --> 00:04:45,040 Speaker 2: from hither du plus The Allen Drive listen live to 98 00:04:45,160 --> 00:04:45,679 Speaker 2: news talks. 99 00:04:45,720 --> 00:04:48,920 Speaker 1: It'd be from four pm weekdays, or follow the podcast 100 00:04:49,000 --> 00:04:50,000 Speaker 1: on iHeartRadio