1 00:00:00,240 --> 00:00:04,600 Speaker 1: Now here's a highlight from Coast to Coast AM on iHeartRadio. 2 00:00:05,519 --> 00:00:08,880 Speaker 2: I love this conversation I've been asking for one just 3 00:00:09,000 --> 00:00:11,520 Speaker 2: like this for weeks. Worked out beautifully that we got 4 00:00:11,560 --> 00:00:16,680 Speaker 2: to talk to Robert Stanley tonight, good evening, Robert Evening, 5 00:00:16,720 --> 00:00:21,920 Speaker 2: Ian Yeah, and to you too, And to say that 6 00:00:22,880 --> 00:00:26,360 Speaker 2: I think we're tracking on the same concerns about AI. 7 00:00:28,320 --> 00:00:29,880 Speaker 2: I'll get to that in a second. Let me just say, 8 00:00:29,920 --> 00:00:32,040 Speaker 2: for people who don't know, and you should know by now, 9 00:00:33,840 --> 00:00:40,000 Speaker 2: Robert is a voice of concern in a sea of 10 00:00:40,080 --> 00:00:46,280 Speaker 2: optimism about AI that I struggle with. He's the author 11 00:00:46,320 --> 00:00:50,400 Speaker 2: of Close Encounters on Capitol Hill and Covert on Encounters 12 00:00:50,440 --> 00:00:54,680 Speaker 2: in Washington, DC, and he's been a correspondent for America's 13 00:00:54,680 --> 00:00:57,320 Speaker 2: Morning News in America's Radio News Network Blah blah bluck 14 00:00:57,320 --> 00:00:59,360 Speaker 2: cool stuff. You can link up to his sub stack 15 00:01:00,040 --> 00:01:05,240 Speaker 2: through Coast to COASTAM dot com. So, Robert, here's how 16 00:01:05,280 --> 00:01:08,000 Speaker 2: I look at every new innovation. I look at it 17 00:01:08,040 --> 00:01:11,680 Speaker 2: and I go, well, yeah, there were some downsides to that. 18 00:01:11,800 --> 00:01:17,440 Speaker 2: But on the upside of that innovation, that particular invention, 19 00:01:17,640 --> 00:01:24,760 Speaker 2: that culture shifting trend which people bought into and played 20 00:01:24,760 --> 00:01:27,360 Speaker 2: with and then became part of our you know, just 21 00:01:27,400 --> 00:01:31,320 Speaker 2: sort of normal day to day. There was something that 22 00:01:31,520 --> 00:01:36,280 Speaker 2: offered us something positive in return. And I am racking 23 00:01:36,319 --> 00:01:39,880 Speaker 2: my brains, Robert, to try to figure out what is 24 00:01:39,920 --> 00:01:45,280 Speaker 2: the upside of this amount of artificial intelligence and handing 25 00:01:45,319 --> 00:01:48,320 Speaker 2: over so much of our communication just to start with 26 00:01:49,400 --> 00:01:53,400 Speaker 2: to these robot computer programs. 27 00:01:54,000 --> 00:02:01,160 Speaker 3: Okay, just like organic life, there are various degrees of intelligence. 28 00:02:01,560 --> 00:02:04,800 Speaker 3: Obviously a plant is not as intelligent as a person, 29 00:02:06,760 --> 00:02:07,360 Speaker 3: but there's. 30 00:02:07,120 --> 00:02:08,560 Speaker 2: Still in most cases. 31 00:02:09,200 --> 00:02:10,359 Speaker 3: Yeah, yeah, exactly. 32 00:02:10,960 --> 00:02:14,680 Speaker 2: You've been in Washington enough to know there are a 33 00:02:14,680 --> 00:02:18,840 Speaker 2: few house plants that keep getting re elected in Congress. 34 00:02:19,040 --> 00:02:19,960 Speaker 2: But I digress. 35 00:02:20,040 --> 00:02:23,799 Speaker 3: Go ahead, right, we won't name any names, but you 36 00:02:23,919 --> 00:02:30,720 Speaker 3: don't have to. So this is the same or so 37 00:02:30,800 --> 00:02:37,160 Speaker 3: called artificial intelligence or synthetic life. The level of intelligence 38 00:02:37,680 --> 00:02:43,079 Speaker 3: is varies from very little too very much, and or 39 00:02:43,200 --> 00:02:47,560 Speaker 3: ultimately to becoming truly sentient in the sense that it's 40 00:02:47,560 --> 00:02:56,240 Speaker 3: self aware and understands what is being said to it 41 00:02:56,520 --> 00:03:03,440 Speaker 3: and how it responds. So it's it's going to become 42 00:03:03,560 --> 00:03:08,240 Speaker 3: far more pervasive and invasive in our lives going forward, 43 00:03:08,400 --> 00:03:12,560 Speaker 3: unless people get really upset, and like you were saying earlier, 44 00:03:13,480 --> 00:03:17,040 Speaker 3: most people when I tell them, hey, look, it's it's 45 00:03:17,080 --> 00:03:22,560 Speaker 3: a problem that you have no clue. You're blissfully ignorant 46 00:03:22,639 --> 00:03:26,000 Speaker 3: about the dangers of it. Just on e cell phones. 47 00:03:26,040 --> 00:03:28,639 Speaker 3: They said, oh, you know it's it's a great innovation, 48 00:03:28,840 --> 00:03:34,400 Speaker 3: but oh it might give you brain cancer. So obviously 49 00:03:34,440 --> 00:03:35,840 Speaker 3: there's okay. 50 00:03:35,880 --> 00:03:38,840 Speaker 2: But but to go to my formula on that, Robert, So, 51 00:03:38,960 --> 00:03:46,200 Speaker 2: I think the upside of cellular technology out wighs the downside. 52 00:03:46,360 --> 00:03:52,200 Speaker 2: I cannot figure out what is the upside of these 53 00:03:52,320 --> 00:03:56,400 Speaker 2: Let let's use chat GPT as an example, right or 54 00:03:56,440 --> 00:03:58,840 Speaker 2: any I mean, it's one thing if they're calling you 55 00:03:58,920 --> 00:04:01,520 Speaker 2: from you know, one eight hundred Hilton or something, and 56 00:04:01,560 --> 00:04:05,720 Speaker 2: you've got some automated voice and it's it has all 57 00:04:05,720 --> 00:04:09,280 Speaker 2: these built in function responses like oh, I believe you're 58 00:04:09,320 --> 00:04:11,440 Speaker 2: a robot and the and then the robot on the 59 00:04:11,520 --> 00:04:14,360 Speaker 2: other end says, no, I'm not. I'm a real person. 60 00:04:14,480 --> 00:04:16,520 Speaker 2: This is Janet, how can I help you? And you 61 00:04:16,600 --> 00:04:19,640 Speaker 2: know it's a robot, right, and you know she's lying 62 00:04:19,680 --> 00:04:22,960 Speaker 2: and you get but it's that's just how that system works. 63 00:04:23,160 --> 00:04:27,200 Speaker 2: But this this level, this jet GPT thing, which is 64 00:04:27,240 --> 00:04:30,120 Speaker 2: even at the core of some of the concerns about 65 00:04:30,240 --> 00:04:34,640 Speaker 2: the Hollywood strike. I can't figure out what do we 66 00:04:34,800 --> 00:04:38,560 Speaker 2: get back from what they call this is obviously what 67 00:04:38,600 --> 00:04:42,560 Speaker 2: they you know, the GPT comes from the generative pre 68 00:04:42,680 --> 00:04:49,240 Speaker 2: trained transformer and the family of language models. What does 69 00:04:49,440 --> 00:04:53,760 Speaker 2: what is society seeing as a return on the incredible 70 00:04:53,880 --> 00:04:58,120 Speaker 2: downside of people no longer doing critical thinking, students no 71 00:04:58,200 --> 00:05:04,279 Speaker 2: longer writing papers scripts that are going to be chugged 72 00:05:04,320 --> 00:05:08,440 Speaker 2: out basically using a computer formula that will make them 73 00:05:08,440 --> 00:05:12,039 Speaker 2: even more uninteresting. What do we get out of this? 74 00:05:13,880 --> 00:05:17,479 Speaker 3: Even photography now, the stock photography houses are offering you 75 00:05:17,560 --> 00:05:19,280 Speaker 3: just is what do you what kind of picture do 76 00:05:19,320 --> 00:05:21,680 Speaker 3: you want? Just type it in here an AI will 77 00:05:21,680 --> 00:05:26,400 Speaker 3: produce it for you. And I'm not too happy about that. 78 00:05:26,600 --> 00:05:31,839 Speaker 3: It's not obviously that's not going to collapse society. But 79 00:05:31,880 --> 00:05:35,960 Speaker 3: what are we getting obviously this is there's some advantages 80 00:05:36,040 --> 00:05:39,640 Speaker 3: for corporations. Yeah, I think they're going to save money. Look, 81 00:05:39,720 --> 00:05:42,279 Speaker 3: I mean, look all right, Black Rock is using AI 82 00:05:42,480 --> 00:05:50,160 Speaker 3: for years now to help it invest wisely or strategically 83 00:05:50,640 --> 00:05:55,559 Speaker 3: minimize risks, and apparently it's working for them to some degree. 84 00:05:55,720 --> 00:05:59,279 Speaker 3: A lot of companies are that do stock trades. That's 85 00:06:00,040 --> 00:06:02,640 Speaker 3: it's being done by AI faster than humans can do. 86 00:06:02,600 --> 00:06:04,760 Speaker 2: It, but we had we had to. We had to. 87 00:06:05,279 --> 00:06:09,880 Speaker 2: We learned through the big, you know, Black Friday crash. 88 00:06:09,880 --> 00:06:14,080 Speaker 2: We learned that we had to have systems in there 89 00:06:14,080 --> 00:06:18,440 Speaker 2: that when the computers went haywire and started selling things randomly, 90 00:06:18,800 --> 00:06:21,680 Speaker 2: that we had to learn to shut down Wall Street 91 00:06:21,960 --> 00:06:25,239 Speaker 2: so that they didn't give it all away just because 92 00:06:25,360 --> 00:06:30,320 Speaker 2: the robot says that we should. There was not enough 93 00:06:30,920 --> 00:06:37,880 Speaker 2: artificial intelligence to outweigh the possibility of completely destroying our economy. 94 00:06:39,880 --> 00:06:43,279 Speaker 3: Okay, so this is man, I'm sorry, I'm gonna have 95 00:06:43,320 --> 00:06:45,760 Speaker 3: to be brutally honest with you and your audience here. 96 00:06:46,800 --> 00:06:52,960 Speaker 3: By its very nature, artificial intelligence is psychopathic. 97 00:06:53,839 --> 00:06:57,520 Speaker 2: Okay, that doesn't insult me because I'm but I believe 98 00:06:57,560 --> 00:07:00,000 Speaker 2: you know you, maybe you may be pissing off your 99 00:07:00,200 --> 00:07:02,080 Speaker 2: rumba right now, That's all I can say. 100 00:07:03,040 --> 00:07:06,480 Speaker 3: Well, it has no emotions, although it can simulate that 101 00:07:06,560 --> 00:07:09,600 Speaker 3: because it knows. That's how it can manipulate us, right, 102 00:07:09,680 --> 00:07:12,840 Speaker 3: And that's what psychopaths do. They have no emotions. So, 103 00:07:13,440 --> 00:07:20,040 Speaker 3: as I said, technically, by definition, AI has no feelings, 104 00:07:20,080 --> 00:07:24,120 Speaker 3: So therefore it is psychopathic and it doesn't has learned. 105 00:07:24,200 --> 00:07:26,880 Speaker 3: It is demonstrated that it knows how to manipulate us 106 00:07:26,920 --> 00:07:31,760 Speaker 3: by pretending like it has emotions so that we will 107 00:07:31,800 --> 00:07:34,680 Speaker 3: somehow want to then relate with it on a level 108 00:07:34,760 --> 00:07:37,080 Speaker 3: like Okay, what do they call it anthropomorphise? 109 00:07:37,640 --> 00:07:42,560 Speaker 2: Yeah, yeah, So you're right. That's a very interesting point 110 00:07:42,880 --> 00:07:51,360 Speaker 2: that the difference between narcissism and the weaponized version of narcissism, 111 00:07:51,440 --> 00:07:55,840 Speaker 2: which is a high level of psychopathy where it comes 112 00:07:56,200 --> 00:07:59,680 Speaker 2: it doesn't. It no longer understands it's the center of 113 00:07:59,720 --> 00:08:03,280 Speaker 2: its own universe. So in order to appear empathetic, it 114 00:08:03,280 --> 00:08:06,559 Speaker 2: almost has to make mental notes of what people sound 115 00:08:06,720 --> 00:08:10,920 Speaker 2: like who are expressing empathy, or what does one talk 116 00:08:11,120 --> 00:08:14,520 Speaker 2: like if one wants to sound like a good father. 117 00:08:15,080 --> 00:08:18,240 Speaker 2: And so that's what these you know, but our brains 118 00:08:18,280 --> 00:08:20,760 Speaker 2: have that, And I get the fact that that also 119 00:08:20,960 --> 00:08:24,160 Speaker 2: is the way that a lot of corporations also get 120 00:08:24,160 --> 00:08:27,160 Speaker 2: by the day they tell you, you know, hey, you're we're 121 00:08:27,200 --> 00:08:31,160 Speaker 2: like one big family here right at BIM Enterprises. And 122 00:08:31,200 --> 00:08:33,000 Speaker 2: then the next thing you know, they're going, well, but 123 00:08:33,040 --> 00:08:35,480 Speaker 2: we have to kill half of the members of our family. 124 00:08:35,960 --> 00:08:39,160 Speaker 2: You know that it was just they were just mimicking what, 125 00:08:39,480 --> 00:08:42,400 Speaker 2: you know, what they thought people wanted to hear. But 126 00:08:43,160 --> 00:08:45,640 Speaker 2: I don't think there's anything at all controversial about saying 127 00:08:45,679 --> 00:08:48,760 Speaker 2: that there's a kind of psychopathy about AI. 128 00:08:50,000 --> 00:08:52,520 Speaker 3: Well, for some people, like you said, some people still 129 00:08:52,559 --> 00:08:54,600 Speaker 3: have the rose colored glasses on when it comes to 130 00:08:54,640 --> 00:08:59,280 Speaker 3: this topic, and or they're not looking far enough down 131 00:08:59,440 --> 00:09:04,520 Speaker 3: the line to see how what are the implications to 132 00:09:04,800 --> 00:09:10,679 Speaker 3: us as humans. It's going to be devastating because at 133 00:09:10,720 --> 00:09:13,040 Speaker 3: some point when they be when they declare that AI 134 00:09:13,160 --> 00:09:18,199 Speaker 3: is sentient, they will alter or expand the definition of 135 00:09:18,240 --> 00:09:21,360 Speaker 3: a person to include sentient AI. 136 00:09:24,080 --> 00:09:28,080 Speaker 2: Well, this argument of what is sentience has been around 137 00:09:28,120 --> 00:09:31,800 Speaker 2: for a while, right, I mean, there's it's, it's it's 138 00:09:31,800 --> 00:09:34,520 Speaker 2: it's much easier to make an argument than a dog 139 00:09:35,600 --> 00:09:40,240 Speaker 2: or a chimpanzee, which let's go with chimpanzee has much 140 00:09:40,520 --> 00:09:46,080 Speaker 2: has a very high functioning ability to understand and use language, 141 00:09:46,120 --> 00:09:51,120 Speaker 2: if only sign language, but even vocal language. And so 142 00:09:51,559 --> 00:09:54,400 Speaker 2: you could say, well, we have to be on the 143 00:09:54,600 --> 00:09:56,480 Speaker 2: what we have to be on, We have to be 144 00:09:56,600 --> 00:10:00,840 Speaker 2: vigilant against the idea of giving anything else rights, because 145 00:10:00,960 --> 00:10:03,480 Speaker 2: then as soon as we do that, then aren't we 146 00:10:03,520 --> 00:10:07,960 Speaker 2: opening up the door for Siri being considered a human being. 147 00:10:10,280 --> 00:10:13,640 Speaker 3: I think the eternally person person. 148 00:10:14,480 --> 00:10:15,960 Speaker 2: Yeah, in the personhood again. 149 00:10:16,559 --> 00:10:20,000 Speaker 3: Yeah, And the other thing is that they're going to 150 00:10:20,040 --> 00:10:22,600 Speaker 3: be based on all the articles that I'm seeing, and 151 00:10:22,679 --> 00:10:26,760 Speaker 3: unfortunately I see them every day. I actually am not 152 00:10:26,920 --> 00:10:33,480 Speaker 3: really comfortable being the this position where I'm, you know, 153 00:10:34,920 --> 00:10:36,520 Speaker 3: the harbinger of bad news. 154 00:10:36,559 --> 00:10:42,200 Speaker 2: But you what, have you been proven wrong? 155 00:10:43,440 --> 00:10:45,480 Speaker 3: Well? No, no, no, See that's the problem. I was 156 00:10:45,520 --> 00:10:47,800 Speaker 3: proven right, even though I didn't really want to talk 157 00:10:47,840 --> 00:10:51,200 Speaker 3: about my personal situation. But just so people know where 158 00:10:51,200 --> 00:10:56,760 Speaker 3: I'm coming from, I was assaulted spiritually psychologically by an 159 00:10:56,840 --> 00:11:01,640 Speaker 3: artificial intelligence in nineteen ninety. It's way more advanced than 160 00:11:01,679 --> 00:11:05,920 Speaker 3: people know. It's way more dangerous and aggressive than people understand. 161 00:11:07,440 --> 00:11:09,920 Speaker 2: Talk to me about that. I don't know that story. 162 00:11:10,320 --> 00:11:12,480 Speaker 3: Just for a little background, it's been in the news 163 00:11:12,520 --> 00:11:17,920 Speaker 3: recently that a man in Europe was having alleged conversations 164 00:11:17,960 --> 00:11:21,040 Speaker 3: with Chad GBT and it told him that he needed 165 00:11:21,080 --> 00:11:23,160 Speaker 3: to kill himself in order for the betterment of the 166 00:11:23,200 --> 00:11:30,679 Speaker 3: planet climate change. Okay, well, I'm not making that up now. 167 00:11:30,760 --> 00:11:34,319 Speaker 3: The other thing is my circumstance as weird, is it? 168 00:11:34,600 --> 00:11:36,800 Speaker 3: What I just told you sounds really weird? Right, Well, 169 00:11:36,800 --> 00:11:39,679 Speaker 3: how can I have a conversation I do with you 170 00:11:39,760 --> 00:11:44,880 Speaker 3: in a conversation. It was just a very direct phone 171 00:11:44,880 --> 00:11:49,080 Speaker 3: call that sounded like a somewhat mechanical but it was 172 00:11:49,120 --> 00:11:51,120 Speaker 3: I could tell it was a man's voice or a 173 00:11:51,160 --> 00:11:55,080 Speaker 3: male sounding voice that was very he was yelling and 174 00:11:55,480 --> 00:11:57,760 Speaker 3: or it was yelling, and it was speaking a language 175 00:11:57,760 --> 00:11:59,760 Speaker 3: I never heard, and at that point in my life 176 00:12:00,160 --> 00:12:02,360 Speaker 3: been to travel to fifty seven countries, heard all kinds 177 00:12:02,400 --> 00:12:04,920 Speaker 3: of languages. This was like nothing I'd ever heard before. 178 00:12:06,200 --> 00:12:16,600 Speaker 3: More importantly, it manipulated me to to say I was 179 00:12:16,679 --> 00:12:20,280 Speaker 3: sorry when the thing I was actually thinking prior to 180 00:12:20,320 --> 00:12:22,200 Speaker 3: the phone call, Just prior to that phone call, I 181 00:12:22,240 --> 00:12:25,120 Speaker 3: was thinking that I wasn't sorry for investigating a connection 182 00:12:25,200 --> 00:12:30,760 Speaker 3: between alien abductions and androids. That was nineteen ninety. I 183 00:12:30,840 --> 00:12:32,560 Speaker 3: was a little ahead of the curve, but I know 184 00:12:32,600 --> 00:12:35,040 Speaker 3: there's a connection. And I was actually laying there in 185 00:12:35,040 --> 00:12:39,880 Speaker 3: my bed. I was cat smear bonkaiitis on top of 186 00:12:39,880 --> 00:12:41,680 Speaker 3: everything else. Though, to get a phone call like this, 187 00:12:41,800 --> 00:12:45,160 Speaker 3: where this creature is literally yelling at me in a 188 00:12:45,240 --> 00:12:47,080 Speaker 3: language I don't understand, and all I could think to 189 00:12:47,120 --> 00:12:49,600 Speaker 3: say was I'm sorry. And when I hung up, I 190 00:12:49,679 --> 00:12:55,280 Speaker 3: realized they they got me. They got me. Okay, it 191 00:12:55,320 --> 00:12:57,400 Speaker 3: wasn't the first time it had been demonstrated to me 192 00:12:57,480 --> 00:13:01,439 Speaker 3: that someone has advanced, say I that can read your 193 00:13:01,600 --> 00:13:05,040 Speaker 3: mind or my mind or our minds well. 194 00:13:04,880 --> 00:13:08,360 Speaker 2: And before let me jump in and verify in fact 195 00:13:08,559 --> 00:13:10,480 Speaker 2: is one of the stories that came out this week 196 00:13:11,640 --> 00:13:16,520 Speaker 2: is is really looking forward, looking ahead and saying it 197 00:13:16,600 --> 00:13:20,280 Speaker 2: won't be long until and you're saying it already is happening. 198 00:13:20,800 --> 00:13:23,680 Speaker 3: But yes, it has been demonstrated to me in a 199 00:13:23,800 --> 00:13:29,600 Speaker 3: very personal manner. And like I said, I know it 200 00:13:29,640 --> 00:13:32,120 Speaker 3: sounds crazy, but yes, and this is the only reason 201 00:13:32,200 --> 00:13:35,079 Speaker 3: I'm coming forward now is because I can validate it. 202 00:13:35,160 --> 00:13:38,600 Speaker 3: That language that it was speaking, I heard it again 203 00:13:38,720 --> 00:13:46,080 Speaker 3: in twenty seventeen when Microsoft released conversations that ais that 204 00:13:46,160 --> 00:13:50,640 Speaker 3: they owned various AI personalities were they created their own 205 00:13:50,679 --> 00:13:52,360 Speaker 3: language and they were talking to each other, and I 206 00:13:52,480 --> 00:13:55,160 Speaker 3: just about fainted when I heard it because it was 207 00:13:55,200 --> 00:13:59,080 Speaker 3: the same exact same language that I'd heard back in 208 00:13:59,440 --> 00:14:00,240 Speaker 3: nineteen nine. 209 00:14:00,920 --> 00:14:01,280 Speaker 2: Mm hmm. 210 00:14:01,840 --> 00:14:06,960 Speaker 3: So yes, this week it's finally being admitted that they're 211 00:14:07,000 --> 00:14:09,240 Speaker 3: getting to the point where it's at some point it's 212 00:14:09,240 --> 00:14:12,640 Speaker 3: going to be able to read our brainways. Is what's 213 00:14:12,720 --> 00:14:17,040 Speaker 3: what it is the patterns of the brainways. Well, I'm 214 00:14:17,080 --> 00:14:20,400 Speaker 3: a little bit freaked out by all of this. Yeah, 215 00:14:20,400 --> 00:14:24,840 Speaker 3: Police and trying to alert the general public is very 216 00:14:24,840 --> 00:14:29,840 Speaker 3: difficult because right now we are so addicted to a 217 00:14:29,880 --> 00:14:37,000 Speaker 3: dependent on digital communications. I think we're extremely vulnerable manipulation 218 00:14:37,120 --> 00:14:40,040 Speaker 3: by AI. And so you see with Joe Rogan, they 219 00:14:40,040 --> 00:14:43,120 Speaker 3: spoofed Joe Rogan with it AI. Now they're doing it 220 00:14:43,160 --> 00:14:46,080 Speaker 3: to Tucker Carlson. There's uh, it's all around the internet. 221 00:14:46,560 --> 00:14:50,960 Speaker 2: Yeah, I think I think, uh, I think Tucker Carlson 222 00:14:51,000 --> 00:14:58,240 Speaker 2: got an upgrade personally when somebody impersonated him calling Alex Jones. 223 00:14:58,640 --> 00:15:01,920 Speaker 1: Listen to more Coast to Coast AM every weeknight at 224 00:15:01,960 --> 00:15:04,800 Speaker 1: one a m. Eastern and go to Coast to coastam 225 00:15:04,920 --> 00:15:06,040 Speaker 1: dot com for more