1 00:00:00,200 --> 00:00:03,480 Speaker 1: Now here's a highlight from Coast to Coast AM on 2 00:00:03,600 --> 00:00:06,920 Speaker 1: iHeart Radio and welcome back to Coast to Coast George 3 00:00:06,960 --> 00:00:09,160 Speaker 1: Nori with you back with Sir Charles Schultz the Third. 4 00:00:09,200 --> 00:00:12,399 Speaker 1: Sir Charles, let's talk a little bit about Mars. When 5 00:00:12,440 --> 00:00:15,400 Speaker 1: do you think we'll be going back there as human beings? 6 00:00:16,079 --> 00:00:18,880 Speaker 1: That's a good question. Now, Elon Musk has a schedule 7 00:00:18,960 --> 00:00:21,640 Speaker 1: that says he'd like to be there in less than 8 00:00:21,680 --> 00:00:25,200 Speaker 1: five years, which sounds ambitious that it does what he's doing, 9 00:00:25,320 --> 00:00:28,480 Speaker 1: it could happen. How long would an astronaut need for 10 00:00:28,520 --> 00:00:33,240 Speaker 1: that trip, going, staying, coming back. Yeah, presently, if you're 11 00:00:33,320 --> 00:00:36,280 Speaker 1: using the sort of orbit they've been using, you closest 12 00:00:36,280 --> 00:00:39,880 Speaker 1: approach and matching the flight path, it'd be between seven 13 00:00:39,920 --> 00:00:43,239 Speaker 1: and ten months, depending on what type of what time 14 00:00:43,280 --> 00:00:47,480 Speaker 1: of year you go. It's the sort of thing during 15 00:00:47,520 --> 00:00:50,080 Speaker 1: that period of time you get a significant dose of 16 00:00:50,240 --> 00:00:53,240 Speaker 1: radiation cosmic rays. It's felt that you get in half 17 00:00:53,280 --> 00:00:55,360 Speaker 1: of a lethal dose on the trip to Mars, if 18 00:00:55,400 --> 00:00:58,280 Speaker 1: you know, things weren't sped up a little bit, so 19 00:00:58,320 --> 00:01:00,800 Speaker 1: that's significant. You're probably not coming back if you go, 20 00:01:01,920 --> 00:01:05,160 Speaker 1: and I've told that lengthy stays in space are not 21 00:01:05,360 --> 00:01:09,520 Speaker 1: playing havoc with the astronaut's eyesight. Well, that's true. One 22 00:01:09,520 --> 00:01:11,560 Speaker 1: of the things that happens is it changes the fluid 23 00:01:11,560 --> 00:01:14,080 Speaker 1: pressure in your body. You know, you and I understanding 24 00:01:14,080 --> 00:01:16,440 Speaker 1: on the ground, and there's a difference in pressure from 25 00:01:16,480 --> 00:01:18,960 Speaker 1: our head to our feet, and the body uses this 26 00:01:19,120 --> 00:01:21,440 Speaker 1: to kind of regulate the amount of fluid it retains. 27 00:01:21,800 --> 00:01:25,240 Speaker 1: When you're in microgravity, the fluid balance shifts, so that's 28 00:01:25,319 --> 00:01:28,400 Speaker 1: uniform over the entire body, and you excreed a lot 29 00:01:28,440 --> 00:01:30,360 Speaker 1: of fluid to try and reach what it feels is 30 00:01:30,360 --> 00:01:33,360 Speaker 1: the proper balance. And so this is one of the 31 00:01:33,360 --> 00:01:36,480 Speaker 1: things that affects your eyesight. Do you think, as Sir Charles, 32 00:01:36,560 --> 00:01:42,039 Speaker 1: privatization will get to Mars quicker than NASA. Absolutely, there's 33 00:01:42,120 --> 00:01:43,720 Speaker 1: no way that NASA would have done it in this 34 00:01:43,760 --> 00:01:47,680 Speaker 1: period of time. Elon Musk has shown the initiative to 35 00:01:47,760 --> 00:01:52,120 Speaker 1: develop new lifting systems, new rockets. His system right now, 36 00:01:52,160 --> 00:01:54,640 Speaker 1: the starship could literally put a hundred tons in Earth 37 00:01:54,720 --> 00:01:59,240 Speaker 1: orbit right now, that's huge, that's huge. Yes, I mean, 38 00:01:59,240 --> 00:02:00,840 Speaker 1: think of the things you do with it. We could 39 00:02:01,080 --> 00:02:04,760 Speaker 1: have those orbital power stations deflecting the hurricanes, helping us 40 00:02:05,360 --> 00:02:07,400 Speaker 1: repair some of the damage your environment. You know, there's 41 00:02:07,400 --> 00:02:08,480 Speaker 1: a lot of things we could do with that sort 42 00:02:08,520 --> 00:02:11,080 Speaker 1: of hardware. When you wrote A Fossil Hunter's Guide to Mars, 43 00:02:11,120 --> 00:02:13,399 Speaker 1: what was the impetus for this? What got you going? 44 00:02:13,800 --> 00:02:16,480 Speaker 1: Basically to share some of the discoveries that I'd made 45 00:02:16,520 --> 00:02:19,440 Speaker 1: back in Wow, two thousand and four. Think about that 46 00:02:19,480 --> 00:02:22,320 Speaker 1: seventeen years ago. Yeah, and you know, I feel a 47 00:02:22,320 --> 00:02:24,960 Speaker 1: little more vindicated. You mentioned the news of the water 48 00:02:25,160 --> 00:02:27,120 Speaker 1: found at the bottom of I should say, the ice 49 00:02:27,520 --> 00:02:29,880 Speaker 1: found at the bottom of the canyon on Mars Valis 50 00:02:29,919 --> 00:02:32,600 Speaker 1: Marinara says, many people know it's the largest canyon on 51 00:02:32,639 --> 00:02:35,359 Speaker 1: the planet in the Solar System for that matter. And 52 00:02:35,400 --> 00:02:39,800 Speaker 1: they used what they call epithermal neutrons to scan and 53 00:02:39,880 --> 00:02:43,520 Speaker 1: they found hydrogen, well bound hydrogen, and that means ice. 54 00:02:44,280 --> 00:02:48,040 Speaker 1: So there are basically glaciers of water ice at the 55 00:02:48,040 --> 00:02:50,280 Speaker 1: bottom of that canyon right now, and they think that 56 00:02:50,320 --> 00:02:52,640 Speaker 1: it's one of the biggest finds they've made. It certainly 57 00:02:52,720 --> 00:02:55,840 Speaker 1: would help people who were going there, because hey, you know, 58 00:02:56,160 --> 00:02:58,280 Speaker 1: you dig some dirt out of the ground, you hit ice, 59 00:02:58,520 --> 00:03:01,359 Speaker 1: you distill it, and you have water. Do you think 60 00:03:01,400 --> 00:03:05,560 Speaker 1: Mars at one time Charles had a abundant atmosphere. Well, 61 00:03:05,600 --> 00:03:08,680 Speaker 1: absolutely did the fact that the planet is rust red 62 00:03:08,800 --> 00:03:11,520 Speaker 1: proves that it takes oxygen and water to make that happen. 63 00:03:11,960 --> 00:03:15,080 Speaker 1: What happened to it? It has very little gravity, the 64 00:03:15,080 --> 00:03:16,880 Speaker 1: only thirty percent of what we do on Earth, and 65 00:03:17,040 --> 00:03:19,880 Speaker 1: its volcanic activity is very weak, so there's nothing to 66 00:03:19,919 --> 00:03:23,240 Speaker 1: replenish the oceans and nothing to replenish the atmosphere. It 67 00:03:23,280 --> 00:03:26,440 Speaker 1: was always a cruddy environment. Well, we won't know unless 68 00:03:26,480 --> 00:03:29,920 Speaker 1: we go right Well, absolutely, and of course, as you know, 69 00:03:30,000 --> 00:03:33,560 Speaker 1: my only real concern is the potential for organisms that 70 00:03:33,600 --> 00:03:39,040 Speaker 1: are probably still on the planet's surface. Now, what could 71 00:03:39,040 --> 00:03:41,960 Speaker 1: they be like, Well, that's a great question. I imagine 72 00:03:41,960 --> 00:03:44,280 Speaker 1: it have a different genetic code than we do. But 73 00:03:44,840 --> 00:03:47,640 Speaker 1: anything can be infectious if you have no resistance to it, 74 00:03:47,640 --> 00:03:50,560 Speaker 1: and we certainly don't have any resistance to an alien organism. 75 00:03:50,880 --> 00:03:53,440 Speaker 1: Might we be the Martians? Well, in a sense, we 76 00:03:53,480 --> 00:03:56,200 Speaker 1: are already, because no spacecraft we sent it was ever 77 00:03:56,280 --> 00:04:00,600 Speaker 1: fully sterilized. The spacecraft such as the Landers and Rovers, 78 00:04:00,640 --> 00:04:04,760 Speaker 1: all carry earthly bacteria, and NASA has been told that 79 00:04:04,760 --> 00:04:08,080 Speaker 1: they're not allowed to operate in any area where there 80 00:04:08,240 --> 00:04:13,480 Speaker 1: is significant chance of water being in existence because terrestrial 81 00:04:13,480 --> 00:04:16,120 Speaker 1: bacteria are hardy enough that they could set up shop 82 00:04:16,240 --> 00:04:18,720 Speaker 1: right in the soil and pose a threat to any 83 00:04:18,760 --> 00:04:23,120 Speaker 1: Martian biosphere elements that exist today. Are we truly concerned 84 00:04:23,120 --> 00:04:26,599 Speaker 1: about that? Yeah, there is enough of a concern that 85 00:04:26,640 --> 00:04:28,680 Speaker 1: they've been told that they have to stop operation if 86 00:04:28,680 --> 00:04:31,680 Speaker 1: they ever find evidence that there's water where they're operating. 87 00:04:31,760 --> 00:04:35,800 Speaker 1: And we do know that we've been carrying bacteria from 88 00:04:35,800 --> 00:04:37,960 Speaker 1: Earth all over the Solar System that could pose a 89 00:04:38,000 --> 00:04:40,440 Speaker 1: real hazard to those places. We're looking in our own 90 00:04:40,440 --> 00:04:43,720 Speaker 1: system for other forms of life, such as the icy 91 00:04:43,760 --> 00:04:47,440 Speaker 1: moons of Jupiter. Let's talk a little bit about asteroids 92 00:04:47,440 --> 00:04:50,920 Speaker 1: and asteroid protection. We seem to be hearing a lot 93 00:04:50,960 --> 00:04:55,160 Speaker 1: more about that and efforts to divert asteroids. Then I 94 00:04:55,160 --> 00:04:59,000 Speaker 1: can remember what's going on, something that they're not telling us. Well, 95 00:04:59,080 --> 00:05:01,800 Speaker 1: you know, just over the last month, I know of 96 00:05:01,920 --> 00:05:04,800 Speaker 1: nineteen that passed by the Earth. We had one just 97 00:05:05,360 --> 00:05:08,600 Speaker 1: yesterday that passed one hundred thirty thousand miles from US, 98 00:05:08,640 --> 00:05:12,359 Speaker 1: asteroid twenty twenty one x six. And a lot of 99 00:05:12,400 --> 00:05:14,960 Speaker 1: them we don't know about it until it's already passed us. 100 00:05:15,080 --> 00:05:17,960 Speaker 1: And that's the problem. We haven't had the proper tools 101 00:05:18,000 --> 00:05:21,120 Speaker 1: for spotting them you know, back in two thousand and 102 00:05:21,160 --> 00:05:24,040 Speaker 1: five there was a NASA Authorization Act to locate in 103 00:05:24,120 --> 00:05:26,359 Speaker 1: catalog all the new Earth asteroids of about one hundred 104 00:05:26,360 --> 00:05:29,960 Speaker 1: and forty meters or more, and they were supposed to 105 00:05:29,960 --> 00:05:32,480 Speaker 1: do it within fifteen years and get ninety percent completion 106 00:05:32,480 --> 00:05:36,679 Speaker 1: about that time. They really haven't. They've found about forty 107 00:05:36,760 --> 00:05:40,839 Speaker 1: percent of those of that size so far. Now there 108 00:05:40,920 --> 00:05:43,719 Speaker 1: is another tool in the Arsenal and massa James Webb 109 00:05:43,800 --> 00:05:48,040 Speaker 1: Space Telescope, and that's supposed to be launched next week 110 00:05:48,279 --> 00:05:50,520 Speaker 1: twenty fourth. Yes, they moved it out a week they 111 00:05:50,560 --> 00:05:55,359 Speaker 1: had a communication problem between the ground station and the 112 00:05:55,600 --> 00:05:59,440 Speaker 1: launch vehicle systems. Now it's in French Guietta being launched there. 113 00:06:00,600 --> 00:06:04,560 Speaker 1: That's an interesting place. They have quite the launch facility there. 114 00:06:04,960 --> 00:06:08,840 Speaker 1: The James Webb Space Telescope will be able to spot 115 00:06:08,960 --> 00:06:12,360 Speaker 1: just about every one of those one hundred forty diameter asteroids. 116 00:06:12,920 --> 00:06:16,640 Speaker 1: Here's the other thing. As you know, SpaceX launched a 117 00:06:16,760 --> 00:06:21,000 Speaker 1: mission called DART, the Double Asteroid Redirection Test, that was 118 00:06:21,040 --> 00:06:23,600 Speaker 1: launched on the twenty fourth in November. That one up 119 00:06:23,600 --> 00:06:27,320 Speaker 1: on a Falcon nine and its first target is an 120 00:06:27,360 --> 00:06:31,240 Speaker 1: asteroid called Ditamos, which is sevens across. They're not going 121 00:06:31,279 --> 00:06:34,560 Speaker 1: to shoot dinamos, but it has a tiny moon that's 122 00:06:34,560 --> 00:06:36,760 Speaker 1: one hundred and sixty meters across, So an asteroid but 123 00:06:36,800 --> 00:06:40,360 Speaker 1: the moon, and they know the characteristics of that moon's 124 00:06:40,480 --> 00:06:44,480 Speaker 1: orbit very well. One half of the Dart spacecraft will 125 00:06:44,520 --> 00:06:47,440 Speaker 1: strike that moon and we should be able to detect 126 00:06:47,480 --> 00:06:50,800 Speaker 1: a change in the moon's orbit, and so that will 127 00:06:50,839 --> 00:06:52,640 Speaker 1: tell us how effective it is as a means of 128 00:06:52,680 --> 00:06:55,719 Speaker 1: deflecting an asteroid. So this is part one of a 129 00:06:55,760 --> 00:06:58,560 Speaker 1: test to see if we actually can deflect an asteroid 130 00:06:58,839 --> 00:07:01,120 Speaker 1: that's on a collision core the Earth. I would say 131 00:07:01,200 --> 00:07:04,440 Speaker 1: deflecting is probably better than blowing it up, because then 132 00:07:04,480 --> 00:07:07,960 Speaker 1: you're scattering all these chunks of rock are way well, 133 00:07:07,960 --> 00:07:10,520 Speaker 1: and that's exactly the problem you see if you have 134 00:07:10,720 --> 00:07:14,480 Speaker 1: more shrapnel that could actually do more damage. One of 135 00:07:14,480 --> 00:07:16,440 Speaker 1: the things that people aren't aware of is many of 136 00:07:16,480 --> 00:07:19,840 Speaker 1: the asteroids are not solid chunks of rock. They're aggregates 137 00:07:19,920 --> 00:07:23,360 Speaker 1: like gravel piles. And so one of the things we're 138 00:07:23,360 --> 00:07:25,920 Speaker 1: going to learn is if this impact is going to 139 00:07:26,000 --> 00:07:28,160 Speaker 1: significantly move the thing or if it's just going to 140 00:07:28,200 --> 00:07:31,080 Speaker 1: dissipate the energy by moving the gravel around. FORNT thing. 141 00:07:31,080 --> 00:07:33,280 Speaker 1: I also talking about moving it with like a laser 142 00:07:33,320 --> 00:07:36,720 Speaker 1: beam or something like that. Yeah, that's incredibly It's an 143 00:07:36,760 --> 00:07:40,000 Speaker 1: incredibly inefficient way to do it. Here's why. When you're 144 00:07:40,000 --> 00:07:43,440 Speaker 1: making a laser beam, in most cases, you're only getting 145 00:07:43,520 --> 00:07:47,000 Speaker 1: between five percent and ten percent of your electrical power 146 00:07:47,440 --> 00:07:50,920 Speaker 1: as laser light, so you're expending most of your energy 147 00:07:50,960 --> 00:07:54,119 Speaker 1: just making the beam. I'd think a much smarter method 148 00:07:54,200 --> 00:07:56,880 Speaker 1: would be an engine I designed back in nineteen eighty nine. 149 00:07:57,440 --> 00:08:00,480 Speaker 1: You use a light sale the big silver piece of 150 00:08:00,840 --> 00:08:04,560 Speaker 1: material that's a reflector, and you place it near the 151 00:08:04,600 --> 00:08:08,920 Speaker 1: asteroid and it's basically is locked to the asteroid by gravity, 152 00:08:09,480 --> 00:08:11,520 Speaker 1: and you focus the sunlight on the back of the 153 00:08:11,560 --> 00:08:15,480 Speaker 1: asteroid to produce a plume of plasma. And so, just 154 00:08:15,520 --> 00:08:18,560 Speaker 1: like an ant hill being burned with a magnifying glass, 155 00:08:19,080 --> 00:08:22,880 Speaker 1: you're vaporizing some of the asteroid with reflected concentrated sunlight, 156 00:08:23,320 --> 00:08:26,640 Speaker 1: and that provides sort of a natural rocket engine that 157 00:08:26,720 --> 00:08:29,480 Speaker 1: moves the asteroid gently off course over the period of 158 00:08:29,520 --> 00:08:32,840 Speaker 1: weeks or months, and it'd be far more effective. Charles 159 00:08:32,840 --> 00:08:37,560 Speaker 1: who owns the launchpad and the facilities at French Guiana, 160 00:08:37,800 --> 00:08:41,320 Speaker 1: Let's see, I think a number of agencies do. NASA 161 00:08:41,400 --> 00:08:45,319 Speaker 1: has a lease agreement for the use of the facilities 162 00:08:45,320 --> 00:08:49,880 Speaker 1: and they don't own it directly, but they got to 163 00:08:49,920 --> 00:08:52,560 Speaker 1: have employees there and everything else too. Right. Oh, absolutely, 164 00:08:52,559 --> 00:08:57,040 Speaker 1: it's a whole space center. You know, it's like pretty 165 00:08:57,120 --> 00:09:00,360 Speaker 1: active satellite. Is it like the Cape? That kind of thing? Similar? 166 00:09:00,480 --> 00:09:03,280 Speaker 1: Very similar. I don't know the exact scale between the two, 167 00:09:03,800 --> 00:09:05,720 Speaker 1: but I do know that the French Ghana site is 168 00:09:05,960 --> 00:09:08,839 Speaker 1: very significant and it makes dozens of launches a year. Now, 169 00:09:08,840 --> 00:09:11,600 Speaker 1: why are they launching it there and not in Florida. Well, 170 00:09:11,640 --> 00:09:14,840 Speaker 1: there's a small advantage by being there. The closer you 171 00:09:14,880 --> 00:09:17,920 Speaker 1: aren't the equator, the less fuel it takes to achieve 172 00:09:17,920 --> 00:09:21,559 Speaker 1: a stable orbit. Really, you think about it spinning at 173 00:09:21,559 --> 00:09:23,600 Speaker 1: a certain rate, and if you're north of the equator, 174 00:09:23,720 --> 00:09:25,880 Speaker 1: is spinning more slowly. Well, you add a couple of 175 00:09:26,000 --> 00:09:28,160 Speaker 1: hundred miles per hour to your vehicle for free, just 176 00:09:28,240 --> 00:09:31,360 Speaker 1: by being on the equator. What's interesting. I didn't know 177 00:09:31,400 --> 00:09:35,560 Speaker 1: that at all. Science does it again? Yeah, it seems to. 178 00:09:36,200 --> 00:09:39,760 Speaker 1: What's going on in the world of artificial intelligence, there's 179 00:09:39,760 --> 00:09:43,280 Speaker 1: some fascinating stuff going on. One of the most interesting 180 00:09:43,320 --> 00:09:47,240 Speaker 1: things I saw was something called zenobots. These are living 181 00:09:47,360 --> 00:09:52,760 Speaker 1: robots made from clusters of cells. These are little robots 182 00:09:52,760 --> 00:09:57,280 Speaker 1: that literally can reproduce. There are artificial life forms that 183 00:09:57,360 --> 00:10:01,559 Speaker 1: act like robots, and there may from cells extracted from 184 00:10:01,559 --> 00:10:05,600 Speaker 1: the African claude frog. Now they have the ability right 185 00:10:05,600 --> 00:10:08,800 Speaker 1: now to sweep up loose stem cells in their culture dish. 186 00:10:09,240 --> 00:10:12,120 Speaker 1: They can begin programming the movements of these little bots 187 00:10:12,800 --> 00:10:15,160 Speaker 1: and they can actually heal some of the damage that 188 00:10:15,160 --> 00:10:17,160 Speaker 1: occurs to them in their work. This is the first 189 00:10:17,200 --> 00:10:20,160 Speaker 1: time they've taken cells from an organism and built a 190 00:10:20,160 --> 00:10:23,080 Speaker 1: different organism using the cells like little lego bricks, So 191 00:10:23,160 --> 00:10:26,840 Speaker 1: that's pretty significant. They're looking at it possibly being used 192 00:10:26,840 --> 00:10:29,000 Speaker 1: as a method of getting in the body with a 193 00:10:29,080 --> 00:10:32,680 Speaker 1: program and hunting down and destroying, for instance, cancer cells. 194 00:10:33,400 --> 00:10:36,240 Speaker 1: That's one of the things that's happened just recently. Another 195 00:10:36,240 --> 00:10:39,520 Speaker 1: one this is really cool. You know, they're trying to 196 00:10:39,520 --> 00:10:42,640 Speaker 1: make AI systems to figure out problems, and one of 197 00:10:42,640 --> 00:10:44,560 Speaker 1: the biggest problems that's been on the plate for a 198 00:10:44,640 --> 00:10:49,640 Speaker 1: long time is the protein folding problem. Proteins are incredibly 199 00:10:49,640 --> 00:10:52,839 Speaker 1: complicated molecules and they do a job like a tool, 200 00:10:52,880 --> 00:10:55,680 Speaker 1: but they have to be folded into certain shape. Well, 201 00:10:55,720 --> 00:10:59,360 Speaker 1: nobody could figure out because of a huge complexity just 202 00:10:59,480 --> 00:11:03,280 Speaker 1: what shape the molecule would be given the protein. Now 203 00:11:03,320 --> 00:11:06,760 Speaker 1: they've managed to make an artificial intelligence system that has 204 00:11:06,800 --> 00:11:10,360 Speaker 1: analyzed the problem and has cracked it at last. This 205 00:11:11,440 --> 00:11:13,560 Speaker 1: is one of the biggest problems it's ever been solved 206 00:11:13,559 --> 00:11:16,959 Speaker 1: with AI, and so for the first time we can 207 00:11:17,000 --> 00:11:20,440 Speaker 1: actually make predictions about how a designed protein will work. 208 00:11:20,480 --> 00:11:24,719 Speaker 1: But just a huge, huge implications for medication. That is 209 00:11:24,800 --> 00:11:27,400 Speaker 1: fantastic work. So Charles Schultz the third with us. We're 210 00:11:27,400 --> 00:11:29,960 Speaker 1: going to take calls with him next hour here on 211 00:11:30,040 --> 00:11:34,560 Speaker 1: coast to coast. What keeps getting this artificial intelligence so good? 212 00:11:35,200 --> 00:11:38,559 Speaker 1: What's driving it? The big thing is, in the beginning, 213 00:11:38,559 --> 00:11:40,760 Speaker 1: we were looking for systems that could solve things like 214 00:11:40,920 --> 00:11:45,120 Speaker 1: defense issues and stock market issues and financial issues. And 215 00:11:45,280 --> 00:11:48,640 Speaker 1: we've come up with very simple ways to make complicated 216 00:11:48,840 --> 00:11:54,160 Speaker 1: neural simulations called neural networks. Now the computing method is 217 00:11:54,200 --> 00:11:56,600 Speaker 1: so common and so simple anybody can do it even 218 00:11:56,600 --> 00:12:00,280 Speaker 1: at home. Well, the cost of computing has plunged over 219 00:12:00,320 --> 00:12:03,400 Speaker 1: the last decade. So now we have very complicated neural 220 00:12:03,440 --> 00:12:07,040 Speaker 1: systems that learn how to extract the features and make conclusions, 221 00:12:07,280 --> 00:12:10,360 Speaker 1: and they're learning how to do these things even engineers 222 00:12:10,360 --> 00:12:13,560 Speaker 1: are building robots that now can open doors, figure out 223 00:12:13,600 --> 00:12:15,320 Speaker 1: where the door knob is, what the door looks like, 224 00:12:15,520 --> 00:12:19,320 Speaker 1: and find a power outlet to charge itself. It's amazing, 225 00:12:19,320 --> 00:12:21,760 Speaker 1: it's amazing. Now, what do you think, what do you 226 00:12:21,760 --> 00:12:24,440 Speaker 1: think technology will be like a hundred years from now? Charles? 227 00:12:24,760 --> 00:12:26,880 Speaker 1: That's something we can't even say, because we're headed for 228 00:12:26,920 --> 00:12:31,120 Speaker 1: the singularity and that could happen in twenty years. It'll 229 00:12:31,160 --> 00:12:34,480 Speaker 1: be just like magic by then. I mean, just to 230 00:12:34,559 --> 00:12:38,559 Speaker 1: imagine the way we have had astronauts on the moon 231 00:12:39,240 --> 00:12:44,080 Speaker 1: back fifty years ago, more than fifty years ago, fifty 232 00:12:44,120 --> 00:12:46,520 Speaker 1: two years ago. I mean, that's half a century. Who 233 00:12:46,600 --> 00:12:50,599 Speaker 1: would believe that? Well, you know, you have to understand 234 00:12:50,640 --> 00:12:53,880 Speaker 1: that people a century ago didn't understand how quickly we 235 00:12:53,880 --> 00:12:58,400 Speaker 1: were learning. Now, it's just common knowledge that the amount 236 00:12:58,400 --> 00:13:02,520 Speaker 1: of information being grown out of our experimenting and learning 237 00:13:02,520 --> 00:13:06,000 Speaker 1: every year has doubled in a period of six months. Now. 238 00:13:07,040 --> 00:13:09,000 Speaker 1: You know, I look at my smartphone now, which is 239 00:13:09,040 --> 00:13:12,320 Speaker 1: like a handheld computer, and I mean you can send 240 00:13:12,360 --> 00:13:15,720 Speaker 1: text messages to somebody, you can send pictures to somebody 241 00:13:16,040 --> 00:13:18,920 Speaker 1: and they get it within seconds. That's correct. I mean, 242 00:13:18,960 --> 00:13:23,319 Speaker 1: it's it's it's unbelievable. The kind of technology and emails 243 00:13:23,360 --> 00:13:27,600 Speaker 1: fascinate me. I mean, you can literally send a document. 244 00:13:28,240 --> 00:13:31,760 Speaker 1: I can send you a document through email beams through 245 00:13:32,640 --> 00:13:35,480 Speaker 1: the ether or somewhere gets to you and it's there 246 00:13:35,520 --> 00:13:38,319 Speaker 1: and you print it up. It's incredible. Well, and it's 247 00:13:38,360 --> 00:13:40,520 Speaker 1: all you know. The big problem was not the computing, 248 00:13:40,559 --> 00:13:43,320 Speaker 1: but figuring out the rules to make it work properly 249 00:13:43,360 --> 00:13:46,520 Speaker 1: and getting a network together. But yeah, it's amazing stuff. 250 00:13:46,800 --> 00:13:51,120 Speaker 1: Your cell phone has more processing power than all the 251 00:13:51,160 --> 00:13:54,319 Speaker 1: computers in the world put together. During the Apollo project. 252 00:13:54,960 --> 00:13:57,200 Speaker 1: I remember when Fax machines first came out and I 253 00:13:57,240 --> 00:14:00,679 Speaker 1: had one and one of my assistants, I'd given her 254 00:14:00,760 --> 00:14:03,280 Speaker 1: the facts and I said, hey, I need you to 255 00:14:03,360 --> 00:14:07,160 Speaker 1: send this. Here's the phone number and facts this to them, 256 00:14:08,720 --> 00:14:10,800 Speaker 1: you know. And she wasn't that familiar with the facts 257 00:14:10,800 --> 00:14:13,040 Speaker 1: machines either, but she knew how to hit the buttons 258 00:14:13,040 --> 00:14:15,280 Speaker 1: and stuff. And I said, so, you know, take care 259 00:14:15,280 --> 00:14:17,320 Speaker 1: of this, okay. And she comes back of our fifteen 260 00:14:17,320 --> 00:14:19,800 Speaker 1: minutes later and I said, facts go through. Do you 261 00:14:19,800 --> 00:14:22,800 Speaker 1: have the receipt? She said, no, it didn't go through. 262 00:14:22,800 --> 00:14:24,280 Speaker 1: And I said, what do you mean it didn't go through? 263 00:14:24,800 --> 00:14:27,880 Speaker 1: I said, they needed it, and she said it didn't 264 00:14:27,880 --> 00:14:31,880 Speaker 1: go through. I said, show me that piece of paper 265 00:14:31,920 --> 00:14:35,040 Speaker 1: that receipt and she said, well, it said it went through, 266 00:14:35,080 --> 00:14:36,920 Speaker 1: but it didn't go through. I said, how do you 267 00:14:36,960 --> 00:14:38,520 Speaker 1: know it didn't go through. It says it went through. 268 00:14:38,640 --> 00:14:45,760 Speaker 1: She says, I'm holding it in my hand. Of course. Well, 269 00:14:46,000 --> 00:14:48,040 Speaker 1: pretty soon we'll be able to do the same thing. 270 00:14:48,400 --> 00:14:50,760 Speaker 1: Just as we have three D printers and they can 271 00:14:50,800 --> 00:14:52,800 Speaker 1: send you a blueprint. Pretty soon you'll be able to 272 00:14:52,840 --> 00:14:57,760 Speaker 1: send a meal or apart or almost anything from one 273 00:14:57,800 --> 00:15:00,640 Speaker 1: point to another. I mean, we're reaching the point where 274 00:15:00,680 --> 00:15:03,720 Speaker 1: we can literally take the data that describes a structure 275 00:15:03,760 --> 00:15:06,080 Speaker 1: and function of a thing and send it somewhere else 276 00:15:06,080 --> 00:15:08,560 Speaker 1: and have it assembled for us there. Listen to more 277 00:15:08,640 --> 00:15:11,640 Speaker 1: Coast to Coast AM every weeknight at one a m. 278 00:15:11,760 --> 00:15:14,760 Speaker 1: Eastern and go to Coast to Coast am dot com 279 00:15:14,760 --> 00:15:15,200 Speaker 1: for more