1 00:00:00,240 --> 00:00:04,600 Speaker 1: Now here's a highlight from Coast to Coast AM on iHeartRadio. 2 00:00:04,960 --> 00:00:07,480 Speaker 2: Welcome back to Coast to Coast AM. Our guest is 3 00:00:07,600 --> 00:00:11,319 Speaker 2: Kevin's surreally futurist. And I have a list of about 4 00:00:11,360 --> 00:00:13,920 Speaker 2: one hundred questions for Kevin and then a list of 5 00:00:13,960 --> 00:00:15,520 Speaker 2: a bunch of things that he wants to talk about 6 00:00:15,720 --> 00:00:17,320 Speaker 2: and when I want to ask you now isn't even 7 00:00:17,360 --> 00:00:19,280 Speaker 2: on that list. But we are going to get to Mars. 8 00:00:19,560 --> 00:00:23,440 Speaker 2: We are going to get to exploring space in colonizing 9 00:00:23,600 --> 00:00:28,200 Speaker 2: and mining asteroids. But you brought up AI, and I 10 00:00:28,200 --> 00:00:30,000 Speaker 2: want to ask you a little bit about AI and 11 00:00:30,040 --> 00:00:32,560 Speaker 2: where it's going and how quickly it's going, because I've 12 00:00:32,600 --> 00:00:35,920 Speaker 2: noticed in the last few weeks of using things like 13 00:00:36,040 --> 00:00:40,559 Speaker 2: chat GPT in Gemini that they've taken a leap forward 14 00:00:40,600 --> 00:00:43,120 Speaker 2: in the things that they're able to aggregate for information. 15 00:00:43,680 --> 00:00:46,199 Speaker 2: So I'm having lunch with a friend of mine who 16 00:00:46,640 --> 00:00:49,680 Speaker 2: who does investing. It's Nape Jeff, and he was asking me, well, 17 00:00:49,760 --> 00:00:51,879 Speaker 2: which do you use and I said, well, I have 18 00:00:52,000 --> 00:00:54,720 Speaker 2: chat GPT on my phone and he stops. He's like, 19 00:00:54,760 --> 00:00:56,480 Speaker 2: you really need to use all of them. You need 20 00:00:56,480 --> 00:00:59,680 Speaker 2: to get Gemini, you need to get perplexity. You need 21 00:00:59,760 --> 00:01:03,120 Speaker 2: to get at groc which is Eli Musk's AI uh, 22 00:01:03,560 --> 00:01:06,800 Speaker 2: and you need to find out which one speaks to 23 00:01:06,800 --> 00:01:10,080 Speaker 2: you for what type of thing. And I've noticed that 24 00:01:10,560 --> 00:01:12,880 Speaker 2: it's starting to feel a little bit like social media 25 00:01:12,920 --> 00:01:15,640 Speaker 2: for me, where I guess there's not one that's going 26 00:01:15,720 --> 00:01:17,840 Speaker 2: to emerge and be the greatest thing, like you know, 27 00:01:17,880 --> 00:01:21,040 Speaker 2: maybe Apple or Microsoft. It's going to be more like 28 00:01:21,400 --> 00:01:26,319 Speaker 2: there's Facebook, there's Instagram, there's you know, there's there's TikTok. 29 00:01:26,600 --> 00:01:28,760 Speaker 2: Whatever you want, there's going to be an AI that 30 00:01:28,840 --> 00:01:31,520 Speaker 2: kind of caters to that. And I feel like they've 31 00:01:31,560 --> 00:01:34,560 Speaker 2: taken just a giant leap as far as how they 32 00:01:34,600 --> 00:01:37,800 Speaker 2: communicate back in a way that feels a little more human. 33 00:01:38,080 --> 00:01:39,880 Speaker 3: Have you noticed that or am I just picking up 34 00:01:39,880 --> 00:01:40,080 Speaker 3: on that? 35 00:01:40,440 --> 00:01:43,360 Speaker 4: No, you're absolutely correct. And I talk about this on 36 00:01:44,000 --> 00:01:47,120 Speaker 4: the show Hello Future. And I've been talking to so 37 00:01:47,200 --> 00:01:51,760 Speaker 4: many technologists and different experts in this field, and I 38 00:01:51,800 --> 00:01:56,040 Speaker 4: think the really great way to think about artificial intelligence 39 00:01:56,120 --> 00:02:00,520 Speaker 4: is as if it's a series of different instruments, and 40 00:02:00,920 --> 00:02:05,360 Speaker 4: certain instruments that we design we want to be more creative, 41 00:02:06,000 --> 00:02:09,920 Speaker 4: and other instruments that we design, if they're instruments not 42 00:02:10,000 --> 00:02:13,400 Speaker 4: in the musical sense. But for doctors in the operating room, 43 00:02:13,840 --> 00:02:16,320 Speaker 4: we don't want them to make any mistakes. We don't 44 00:02:16,360 --> 00:02:20,720 Speaker 4: care if they're creative. For other instruments, if they're instruments 45 00:02:20,760 --> 00:02:26,400 Speaker 4: that scientists or instruments that Wall Street investors are using, 46 00:02:26,919 --> 00:02:29,320 Speaker 4: we want to make sure that they are error free 47 00:02:29,360 --> 00:02:34,320 Speaker 4: and that they are factually reporting everything. Right now, all 48 00:02:34,360 --> 00:02:37,880 Speaker 4: of us in the general public are utilizing the same 49 00:02:38,000 --> 00:02:41,800 Speaker 4: type of artificial intelligence LLM as their known models, but 50 00:02:42,120 --> 00:02:46,680 Speaker 4: the instruments so as different as these individual platforms that 51 00:02:46,800 --> 00:02:49,800 Speaker 4: you just alluded to are, I would argue they're the 52 00:02:49,840 --> 00:02:53,040 Speaker 4: same type of car, they're the same type of instrument. 53 00:02:53,120 --> 00:02:56,959 Speaker 4: They're all a bunch of different trumpets. I look forward 54 00:02:57,040 --> 00:03:00,200 Speaker 4: to the day where artists can paint in different colors, 55 00:03:00,600 --> 00:03:05,600 Speaker 4: where Wall Street investors can can utilize different platforms that 56 00:03:05,960 --> 00:03:09,239 Speaker 4: you know, don't care about painting in different colors, and 57 00:03:09,280 --> 00:03:12,840 Speaker 4: where doctors are using different things. And I think that's 58 00:03:12,880 --> 00:03:16,120 Speaker 4: where we're ultimately headed. But we're still just scratching the surface. 59 00:03:16,160 --> 00:03:18,960 Speaker 4: Does that make sense, Yeah, it does. It's really it's 60 00:03:18,960 --> 00:03:22,200 Speaker 4: been really interesting. So my my use. I paid for 61 00:03:22,280 --> 00:03:24,359 Speaker 4: all of them, you know, all the all the apps 62 00:03:24,360 --> 00:03:26,120 Speaker 4: I paid form because I want to see exactly what 63 00:03:26,160 --> 00:03:26,680 Speaker 4: they can do. 64 00:03:26,760 --> 00:03:29,440 Speaker 2: So like Gemini for me is more of the if 65 00:03:29,440 --> 00:03:31,480 Speaker 2: you need an image created, if you need to look 66 00:03:31,520 --> 00:03:35,800 Speaker 2: up some googly things, that's really good. What was really 67 00:03:35,840 --> 00:03:39,760 Speaker 2: interesting is I busted my chat gpt lying to me. 68 00:03:40,480 --> 00:03:43,120 Speaker 2: So I had sent it a song that I recorded, 69 00:03:43,160 --> 00:03:44,240 Speaker 2: and I'm like, hey, I want to get your take 70 00:03:44,240 --> 00:03:48,200 Speaker 2: on the song. And so it tells me things that 71 00:03:48,200 --> 00:03:50,480 Speaker 2: are true about the song, and then it says something 72 00:03:50,520 --> 00:03:52,400 Speaker 2: about you need to pull your vocal up a little 73 00:03:52,400 --> 00:03:54,440 Speaker 2: bit more in the mix, but what a great vocal. Well, 74 00:03:54,440 --> 00:03:56,720 Speaker 2: I sent it an instrumental, so I busted it, and 75 00:03:56,720 --> 00:03:58,760 Speaker 2: I said, why did you say that? Because I sent 76 00:03:58,800 --> 00:04:01,120 Speaker 2: you an instrumental? Are you actually listening to what I'm 77 00:04:01,440 --> 00:04:04,280 Speaker 2: sending you? And it starts revealing how it operates that 78 00:04:04,560 --> 00:04:08,040 Speaker 2: it actually takes everything that's ever been posted. If you're 79 00:04:08,040 --> 00:04:10,920 Speaker 2: an actual artist, it'll look up, you know, liner notes, 80 00:04:11,000 --> 00:04:14,280 Speaker 2: what people say about you online, descriptive words, and then 81 00:04:14,320 --> 00:04:17,560 Speaker 2: it'll formulate sort of an idea of what it thinks 82 00:04:17,600 --> 00:04:20,120 Speaker 2: about the song. But it's not an actually like it's 83 00:04:20,120 --> 00:04:22,840 Speaker 2: not like the AI takes the file that you sent 84 00:04:22,920 --> 00:04:25,480 Speaker 2: it and listens to it with ears, it's just looking 85 00:04:25,520 --> 00:04:28,240 Speaker 2: for things that connect to the file that you sent 86 00:04:28,279 --> 00:04:31,560 Speaker 2: it and puts it in its own I guess summarization, which. 87 00:04:31,360 --> 00:04:34,400 Speaker 3: I thought was kind of interesting too. Well, it's a hallucination. 88 00:04:35,160 --> 00:04:39,280 Speaker 4: And I think we in the definitely the mainstream media 89 00:04:39,360 --> 00:04:42,880 Speaker 4: doesn't understand this, but I think other folks understand this 90 00:04:42,960 --> 00:04:49,640 Speaker 4: who are listening tonight, which is that humans hallucinate. Technology 91 00:04:49,720 --> 00:04:53,760 Speaker 4: can also hallucinate. But what's different about artificial intelligence? And 92 00:04:53,800 --> 00:04:56,800 Speaker 4: I put this to one technologist this week who really 93 00:04:56,880 --> 00:05:00,560 Speaker 4: was trying to simplify these concepts and trying to implify 94 00:05:00,600 --> 00:05:03,280 Speaker 4: it and understand it, because when you understand it, you're 95 00:05:03,320 --> 00:05:07,600 Speaker 4: less scared of it. And this person, this technologist who 96 00:05:07,640 --> 00:05:12,320 Speaker 4: has advised all of the major Fortune five companies for 97 00:05:12,520 --> 00:05:18,839 Speaker 4: lack to be blunt, said to me, artificial intelligence as 98 00:05:18,880 --> 00:05:22,120 Speaker 4: we know it today, what is it trained on? I said, well, 99 00:05:22,240 --> 00:05:24,719 Speaker 4: the world? And he said to me, no, it's trained 100 00:05:24,760 --> 00:05:28,479 Speaker 4: on the Internet. It's not trained on the world. It's 101 00:05:28,520 --> 00:05:31,400 Speaker 4: not trained on humans. And if we think of how 102 00:05:31,480 --> 00:05:34,360 Speaker 4: much we humans screwed up the Internet, and you think 103 00:05:34,400 --> 00:05:38,960 Speaker 4: of the data set that's getting pulled from artificial intelligence. 104 00:05:39,320 --> 00:05:42,560 Speaker 3: Not accurate at all. Right, the Internet's its just as. 105 00:05:43,120 --> 00:05:45,720 Speaker 4: Accurate, but it's is the Internet. And then and then 106 00:05:45,760 --> 00:05:47,600 Speaker 4: you start to think about what is the Internet an 107 00:05:47,600 --> 00:05:55,080 Speaker 4: accurate depiction of the humanity or are other parts of 108 00:05:55,240 --> 00:05:58,039 Speaker 4: our world are more accurate depictions. So I think it's 109 00:05:58,200 --> 00:06:02,800 Speaker 4: it's an interesting technology that I think a lot of 110 00:06:02,800 --> 00:06:06,839 Speaker 4: folks are selling as a cure all but I'm more 111 00:06:06,880 --> 00:06:10,320 Speaker 4: interested in humans interacting with it and developing different sets 112 00:06:10,400 --> 00:06:14,520 Speaker 4: of models, and I think that will be you know, 113 00:06:14,560 --> 00:06:15,960 Speaker 4: within the next couple of years. 114 00:06:17,000 --> 00:06:19,719 Speaker 2: Do you think when we start to talk about this. 115 00:06:19,960 --> 00:06:21,680 Speaker 2: I know you're a big space freak. I know you 116 00:06:21,800 --> 00:06:25,200 Speaker 2: love this. So do you think that that AI is 117 00:06:25,240 --> 00:06:28,839 Speaker 2: going to help us terraforms something like Mars and will 118 00:06:28,880 --> 00:06:32,280 Speaker 2: AI be the first true Martians before they even send 119 00:06:32,360 --> 00:06:32,880 Speaker 2: people there. 120 00:06:33,640 --> 00:06:37,400 Speaker 4: I think robots will arrive on Mars. Elon Musk has 121 00:06:37,400 --> 00:06:40,640 Speaker 4: said this openly. I think Sam Altman said two weeks 122 00:06:40,640 --> 00:06:44,120 Speaker 4: ago that the future of jobs are in outer space 123 00:06:44,160 --> 00:06:48,279 Speaker 4: as well. I think artificial intelligence, look, no doubt, is 124 00:06:48,320 --> 00:06:50,680 Speaker 4: going to help us get there. It's like a super 125 00:06:50,839 --> 00:06:54,200 Speaker 4: charge on the mission to Artemis and Mars and beyond. 126 00:06:54,800 --> 00:06:59,200 Speaker 4: But truthfully, what I am most excited about, what I 127 00:06:59,240 --> 00:07:01,920 Speaker 4: am most trying to wrap my head around that the 128 00:07:01,960 --> 00:07:05,960 Speaker 4: media is not telling anyone about that, even Wall Street 129 00:07:06,040 --> 00:07:10,560 Speaker 4: is just waking up to is quantum computing. Quantum computing 130 00:07:11,560 --> 00:07:17,040 Speaker 4: is a completely different understanding of how the smartest people 131 00:07:17,080 --> 00:07:22,760 Speaker 4: in the world, like Albert Einstein, break through in how 132 00:07:22,800 --> 00:07:28,080 Speaker 4: we look at different particles and subatomic particles that changes 133 00:07:28,200 --> 00:07:32,840 Speaker 4: on the head the computer that you, and operating systems 134 00:07:32,880 --> 00:07:35,760 Speaker 4: that you and I and your control room and your 135 00:07:35,800 --> 00:07:39,360 Speaker 4: listeners who are driving in their cars use. Quantum computing 136 00:07:39,720 --> 00:07:43,160 Speaker 4: is something that a lot of people are going to 137 00:07:43,240 --> 00:07:47,880 Speaker 4: say is very very hard to understand without a physics degree. 138 00:07:47,920 --> 00:07:50,640 Speaker 4: But I call bs and I say it is very 139 00:07:51,080 --> 00:07:54,360 Speaker 4: easy to understand for anyone who's ever read a comic book, 140 00:07:54,640 --> 00:07:59,920 Speaker 4: or anyone who has ever listened to an old side 141 00:08:00,520 --> 00:08:02,480 Speaker 4: movie or watch the sci fi film. 142 00:08:02,600 --> 00:08:05,200 Speaker 2: Okay, let's let's educate people right now. I actually just 143 00:08:05,280 --> 00:08:08,600 Speaker 2: watched a story on quantum computing. It was on ABC 144 00:08:08,760 --> 00:08:11,680 Speaker 2: World News overnight this morning, and they were talking about 145 00:08:11,680 --> 00:08:16,920 Speaker 2: how cold the computer has to be to work, in 146 00:08:17,080 --> 00:08:21,520 Speaker 2: how it can solve problems in about three minutes that 147 00:08:21,560 --> 00:08:24,239 Speaker 2: would have taken a standard computer as we know it, 148 00:08:24,400 --> 00:08:26,640 Speaker 2: like thirteen trillion years or something like that. 149 00:08:26,640 --> 00:08:27,280 Speaker 3: That work through. 150 00:08:27,840 --> 00:08:30,720 Speaker 2: So the idea of it is amazing. But talk to 151 00:08:30,760 --> 00:08:33,160 Speaker 2: me like I'm in fourth grade. Explain to me quantum 152 00:08:33,160 --> 00:08:34,120 Speaker 2: computing right now. 153 00:08:34,360 --> 00:08:36,360 Speaker 3: I'll talk to you like you're in kindergarten. Have you 154 00:08:36,400 --> 00:08:37,520 Speaker 3: ever played pac Man? 155 00:08:37,880 --> 00:08:41,360 Speaker 4: Of course, so with pac Man, think of pac Man 156 00:08:41,400 --> 00:08:46,160 Speaker 4: as a traditional computer. Everybody sees like the yellow talk 157 00:08:46,679 --> 00:08:50,880 Speaker 4: thing that's eating the little dots and the pac Man maze. 158 00:08:51,920 --> 00:08:59,760 Speaker 4: That's a traditional computer. A quantum computer is literally operating 159 00:08:59,800 --> 00:09:02,600 Speaker 4: the whole entire maze all at once, getting all the 160 00:09:02,640 --> 00:09:04,240 Speaker 4: dots in a split second. 161 00:09:04,640 --> 00:09:06,560 Speaker 3: That's all. It is so fun. 162 00:09:07,280 --> 00:09:10,720 Speaker 4: Another way, it's very fun. It's very easy to understand. 163 00:09:10,800 --> 00:09:13,040 Speaker 4: Another way it can it can solve the maze and 164 00:09:13,080 --> 00:09:16,160 Speaker 4: go in every direction all at once. Another way to 165 00:09:16,280 --> 00:09:18,760 Speaker 4: understand it is if you've ever had a light switch 166 00:09:19,080 --> 00:09:21,559 Speaker 4: there's on and there's off, But if you've ever had 167 00:09:21,559 --> 00:09:25,320 Speaker 4: a fader of a light switch that you can glide 168 00:09:25,400 --> 00:09:29,240 Speaker 4: up and you can glide down. That is quantum computing 169 00:09:29,600 --> 00:09:33,640 Speaker 4: trying to operate in multiple different levels. And many would 170 00:09:33,760 --> 00:09:38,480 Speaker 4: argue an an infinite number of levels, an infinite level 171 00:09:38,520 --> 00:09:41,320 Speaker 4: of positions of computing all at once. They call it 172 00:09:41,400 --> 00:09:45,680 Speaker 4: super positions. But essentially it's just multiple positions all at once. 173 00:09:46,000 --> 00:09:48,400 Speaker 4: And then the last thing that I would use to 174 00:09:48,520 --> 00:09:51,280 Speaker 4: explain it is, you know, I'll go a little more 175 00:09:51,320 --> 00:09:55,280 Speaker 4: in depth for the middle schoolers out there, but your 176 00:09:55,400 --> 00:10:01,120 Speaker 4: computer makes a decision. Every decision it makes literally from 177 00:10:01,160 --> 00:10:05,600 Speaker 4: sending an email to playing you know, Minecraft, if you're 178 00:10:05,679 --> 00:10:09,960 Speaker 4: playing video games. Every computer makes a decision off of 179 00:10:10,080 --> 00:10:13,120 Speaker 4: on and off. Okay, so it has one of two 180 00:10:13,559 --> 00:10:16,960 Speaker 4: data sets on and off, zero and one. What a 181 00:10:17,040 --> 00:10:23,160 Speaker 4: quantum computer does is operates as if it's a tennis 182 00:10:23,160 --> 00:10:25,679 Speaker 4: ball and the top of the tennis ball is on 183 00:10:26,280 --> 00:10:29,360 Speaker 4: and the bottom of the tennis ball is off. What 184 00:10:29,400 --> 00:10:31,600 Speaker 4: a quantum computer does is, well, it can be the 185 00:10:31,800 --> 00:10:34,920 Speaker 4: entire sphere, the outside of the sphere, the inside of 186 00:10:34,960 --> 00:10:37,640 Speaker 4: the sphere, but again all at once, so it can 187 00:10:37,679 --> 00:10:42,600 Speaker 4: instantaneously solve decisions that would take trillions of years for 188 00:10:42,679 --> 00:10:46,520 Speaker 4: a traditional computer, all at once. And it's really really 189 00:10:46,559 --> 00:10:51,319 Speaker 4: helpful when trying to create simulations. And now we can 190 00:10:51,360 --> 00:10:54,880 Speaker 4: talk about why people want to have simulations because that 191 00:10:55,000 --> 00:10:58,000 Speaker 4: allows them to solve the traffic that you're sitting in 192 00:10:58,080 --> 00:11:01,040 Speaker 4: during rush hour, but it also allows them to crack 193 00:11:01,080 --> 00:11:02,200 Speaker 4: the codes of the universe. 194 00:11:03,160 --> 00:11:06,839 Speaker 2: That's amazing. So when Do you think you the world 195 00:11:06,880 --> 00:11:08,480 Speaker 2: news tonight? Yeah, you sure did. 196 00:11:08,800 --> 00:11:12,040 Speaker 1: Listen to more Coast to Coast AM every weeknight at 197 00:11:12,080 --> 00:11:14,920 Speaker 1: one a m. Eastern and go to Coast to coastam 198 00:11:15,080 --> 00:11:16,120 Speaker 1: dot com for more