1 00:00:07,720 --> 00:00:11,960 Speaker 1: Let's talk tonight about artificial intelligence. And I have an expert, 2 00:00:12,080 --> 00:00:14,760 Speaker 1: one of the experts on to talk to me about it. 3 00:00:14,760 --> 00:00:17,319 Speaker 1: But the reason I wanted to do this, the reason me, 4 00:00:17,720 --> 00:00:21,280 Speaker 1: producer Matt, producer John wanted to do this show is 5 00:00:21,600 --> 00:00:24,280 Speaker 1: we recently had a meeting in New Yorkers about something separate. 6 00:00:24,320 --> 00:00:27,320 Speaker 1: But a friend of ours, very knowledgeable friend, just had 7 00:00:27,360 --> 00:00:31,760 Speaker 1: a big meeting with all these tech types and the 8 00:00:31,760 --> 00:00:34,839 Speaker 1: horror stories that came out about AI, about what it's 9 00:00:34,880 --> 00:00:37,080 Speaker 1: going to do, what it's already doing. It's going to 10 00:00:37,080 --> 00:00:39,200 Speaker 1: take all of our jobs, it's going to run our lives. 11 00:00:39,240 --> 00:00:43,720 Speaker 1: It'll be reading your emails. We sat down, We sat 12 00:00:43,760 --> 00:00:46,239 Speaker 1: down and we watched him do this. We watched him 13 00:00:46,280 --> 00:00:48,519 Speaker 1: put a couple he typed a couple things into a 14 00:00:48,560 --> 00:00:53,320 Speaker 1: computer and then boom, he holds up his computer in 15 00:00:53,560 --> 00:00:57,120 Speaker 1: A podcast comes on that was about the subject we 16 00:00:57,120 --> 00:01:01,240 Speaker 1: put in there all AI, a man and a woman 17 00:01:01,560 --> 00:01:05,279 Speaker 1: all artificial talking to each other, even with little things 18 00:01:05,319 --> 00:01:09,000 Speaker 1: like uh uh in their sentences, and we were all there, floored. 19 00:01:09,319 --> 00:01:11,760 Speaker 1: A podcast was just created by AI. That's where it 20 00:01:11,800 --> 00:01:14,160 Speaker 1: already is. And you know what I felt like in 21 00:01:14,200 --> 00:01:16,319 Speaker 1: that moment, You know what I felt like remember this 22 00:01:16,440 --> 00:01:20,760 Speaker 1: old video of Regis Philbin when he saw the first iPhone. 23 00:01:21,400 --> 00:01:23,600 Speaker 2: Do you know what that big announcement is today with 24 00:01:23,640 --> 00:01:24,200 Speaker 2: the iPod? 25 00:01:24,240 --> 00:01:26,280 Speaker 3: Do you know what? Does anybody know what that is? 26 00:01:27,880 --> 00:01:30,840 Speaker 2: They're speculating an iPhone, that you're going to be able 27 00:01:30,880 --> 00:01:32,360 Speaker 2: to talk on the phone with your iPod. 28 00:01:33,040 --> 00:01:33,399 Speaker 1: You know what? 29 00:01:36,680 --> 00:01:37,200 Speaker 4: Tell us why? 30 00:01:37,240 --> 00:01:38,120 Speaker 5: It's a bad idea. 31 00:01:38,400 --> 00:01:40,480 Speaker 3: It's like the computer and take one. What are you 32 00:01:40,480 --> 00:01:42,479 Speaker 3: going to do? Carry the phone? You carry the phone 33 00:01:42,560 --> 00:01:52,840 Speaker 3: over here, carry the iPod over there. Carry It's ridiculous. 34 00:01:50,160 --> 00:01:51,640 Speaker 1: To many things to carry. 35 00:01:51,960 --> 00:01:53,680 Speaker 3: That's the idea. It's one device. 36 00:01:54,120 --> 00:01:55,440 Speaker 5: It's an iPod and a phone. 37 00:01:55,680 --> 00:02:00,840 Speaker 3: I don't like it. 38 00:02:00,840 --> 00:02:04,640 Speaker 1: It's funny, but it's where I am with so much technology, 39 00:02:04,640 --> 00:02:08,400 Speaker 1: and definitely AI not interested. Don't want it. Give me 40 00:02:08,440 --> 00:02:11,160 Speaker 1: a good old fashioned book, a movie made by person's 41 00:02:11,360 --> 00:02:16,560 Speaker 1: personal interaction. But I can play the crotchety old man. 42 00:02:16,680 --> 00:02:21,079 Speaker 1: All I want. It is here and it's coming, and 43 00:02:21,639 --> 00:02:24,280 Speaker 1: I don't know where it's going to lead all of humanity, 44 00:02:24,360 --> 00:02:25,840 Speaker 1: and that it will be one of these things that 45 00:02:25,919 --> 00:02:28,800 Speaker 1: affects all of humanity. I don't know where it's gonna go. 46 00:02:28,800 --> 00:02:30,880 Speaker 1: We're gonna talk to Joe Allen about that in a moment. 47 00:02:31,080 --> 00:02:36,320 Speaker 1: I don't know. You don't know. But the technology itself 48 00:02:37,720 --> 00:02:46,120 Speaker 1: sounds frightening, wonderful, amazing, sad, all of these things. If 49 00:02:46,120 --> 00:02:49,320 Speaker 1: it cures cancer, that sounds great. If it takes away 50 00:02:49,360 --> 00:02:52,000 Speaker 1: every human's job and we're sitting at home like a 51 00:02:52,000 --> 00:02:54,600 Speaker 1: bunch of brain dead slobs hooked up through a robot, 52 00:02:55,680 --> 00:02:59,680 Speaker 1: probably not great. So when I talk to Joe Allen next, 53 00:03:00,760 --> 00:03:03,560 Speaker 1: there's gonna be parts of this that are scary. I 54 00:03:03,600 --> 00:03:06,240 Speaker 1: promise you, there will be parts of it that are hopeful. 55 00:03:07,440 --> 00:03:10,080 Speaker 1: We're gonna find out what this is, where we are now, 56 00:03:10,240 --> 00:03:13,280 Speaker 1: where we might be going. Because no matter what, I 57 00:03:13,280 --> 00:03:16,440 Speaker 1: don't care whether you're ninety five or five watching me 58 00:03:16,560 --> 00:03:19,480 Speaker 1: right now, AI is going to have some effect on 59 00:03:19,520 --> 00:03:23,440 Speaker 1: your life. We should try to understand it. I'm gonna 60 00:03:23,440 --> 00:03:25,200 Speaker 1: try the same way you're gonna try. Let's talk to 61 00:03:25,280 --> 00:03:32,920 Speaker 1: Joe Allen about it next. You know, I got an 62 00:03:32,960 --> 00:03:37,200 Speaker 1: email from a woman. She was in her sixties, and 63 00:03:37,400 --> 00:03:40,840 Speaker 1: she was a tour quo is a tour guide, so 64 00:03:40,880 --> 00:03:44,240 Speaker 1: she guides people around an area, and she said, Jesse, 65 00:03:45,600 --> 00:03:47,600 Speaker 1: I used to have to take a nap. You know, 66 00:03:47,680 --> 00:03:49,840 Speaker 1: she'd have to give people on a tour and then 67 00:03:49,920 --> 00:03:52,880 Speaker 1: stop and take a nap because she's just out of gas. 68 00:03:53,400 --> 00:03:55,960 Speaker 1: And she said, Jesse, since I started taking my female 69 00:03:56,040 --> 00:03:58,880 Speaker 1: vitality stack from Choco, I don't nap anymore. I go 70 00:03:59,080 --> 00:04:01,840 Speaker 1: all day and I'm ready to keep going. Her energy 71 00:04:01,920 --> 00:04:05,040 Speaker 1: was she just sounds so happy. That's what natural herbal 72 00:04:05,120 --> 00:04:09,040 Speaker 1: supplements can bring to you. Male vitality stacks and female 73 00:04:09,120 --> 00:04:11,920 Speaker 1: vitality stacks. You don't have to be out of gas 74 00:04:11,960 --> 00:04:15,240 Speaker 1: all the time, in a bad mood, feeling down all 75 00:04:15,280 --> 00:04:17,840 Speaker 1: the time. You can actually get home at the end 76 00:04:17,880 --> 00:04:20,799 Speaker 1: of the day and want to do something just because 77 00:04:20,800 --> 00:04:25,440 Speaker 1: you feel good. Sixty ninety days, that's how far you 78 00:04:25,480 --> 00:04:28,200 Speaker 1: are away from feeling so much better. Go get a 79 00:04:28,240 --> 00:04:39,640 Speaker 1: subscription chuck dot com, slash jessetv Okay. So that's my thoughts, 80 00:04:39,920 --> 00:04:43,000 Speaker 1: good and bad on AI. But as I said, I 81 00:04:43,000 --> 00:04:46,679 Speaker 1: don't know anything about it. I'm old. I can't operate 82 00:04:46,800 --> 00:04:49,400 Speaker 1: ninety percent of the functions on my phone and I 83 00:04:49,400 --> 00:04:51,840 Speaker 1: don't want to. But I do know enough to know 84 00:04:51,920 --> 00:04:54,920 Speaker 1: it's going to be big. But Joe does know. We're 85 00:04:55,080 --> 00:04:57,839 Speaker 1: joining me now, Joe Allen, author of the wonderful book 86 00:04:57,920 --> 00:05:01,240 Speaker 1: Dark Eon. All right, Joe, I'm going to ask you 87 00:05:01,279 --> 00:05:03,560 Speaker 1: to do something that may be difficult for you, but 88 00:05:03,760 --> 00:05:06,600 Speaker 1: I certainly need it, and I'm sure others do. I 89 00:05:06,640 --> 00:05:09,080 Speaker 1: need you to take me as basic as you can, 90 00:05:09,160 --> 00:05:11,080 Speaker 1: and then we'll build up to where we're at and 91 00:05:11,120 --> 00:05:15,839 Speaker 1: where we're going. Artificial intelligence on the most basic level, 92 00:05:16,560 --> 00:05:17,479 Speaker 1: How does it work? 93 00:05:19,640 --> 00:05:23,320 Speaker 3: Well, Jesse? I appreciate you having me on, and you know, 94 00:05:23,680 --> 00:05:27,240 Speaker 3: I myself am doing my best to wrap my head 95 00:05:27,240 --> 00:05:32,080 Speaker 3: around this as it comes down the pipes, so hopefully 96 00:05:32,080 --> 00:05:37,799 Speaker 3: I can give you the bare bones. In short, artificial 97 00:05:37,839 --> 00:05:48,320 Speaker 3: intelligence is software that thinks, in scare quotes, thinks sort 98 00:05:48,360 --> 00:05:52,720 Speaker 3: of like a human. People argue all the time, why 99 00:05:52,839 --> 00:05:57,919 Speaker 3: call it artificial intelligence if it's not truly intelligent like 100 00:05:57,960 --> 00:06:03,040 Speaker 3: a human. It's a good point, but the reality is 101 00:06:03,800 --> 00:06:10,640 Speaker 3: that systems like chat GPT in the beginning, it was 102 00:06:12,320 --> 00:06:18,880 Speaker 3: you could say, barely intelligent. It showed some indications that 103 00:06:19,800 --> 00:06:22,400 Speaker 3: you could ask it a question and it would come 104 00:06:22,440 --> 00:06:26,200 Speaker 3: back with something like a coherent response. This was in 105 00:06:26,240 --> 00:06:31,279 Speaker 3: the early days, like twenty seventeen, twenty eighteen. By the 106 00:06:31,320 --> 00:06:35,400 Speaker 3: time we get to twenty twenty and the company open 107 00:06:35,440 --> 00:06:43,320 Speaker 3: Ai had improved both the system itself the software and 108 00:06:43,520 --> 00:06:48,160 Speaker 3: expanded the amount of data, in the amount of computation 109 00:06:48,680 --> 00:06:52,560 Speaker 3: to be thrown at it, it started doing really weird things. 110 00:06:53,080 --> 00:06:57,760 Speaker 3: The weirdest thing that it did was take all of 111 00:06:57,800 --> 00:07:04,600 Speaker 3: that data and begin to produce something like a human response, 112 00:07:05,480 --> 00:07:09,720 Speaker 3: so that when we get to November of twenty twenty 113 00:07:09,760 --> 00:07:14,760 Speaker 3: two and the release of chat GPT and all of 114 00:07:14,800 --> 00:07:19,480 Speaker 3: the media attention and the discussion around it, the reason 115 00:07:19,600 --> 00:07:25,120 Speaker 3: people were freaking out is because unlike the previous chat bots, 116 00:07:25,720 --> 00:07:28,040 Speaker 3: you know, just software that you're talking to, it talks 117 00:07:28,080 --> 00:07:32,280 Speaker 3: back to you. The previous chat bots, by and large, 118 00:07:33,200 --> 00:07:39,200 Speaker 3: had these canned responses. So you say how are you today, 119 00:07:39,840 --> 00:07:42,520 Speaker 3: and you know, with some options, it's gonna say I 120 00:07:42,560 --> 00:07:45,120 Speaker 3: am doing very well. This is very kind of you 121 00:07:45,160 --> 00:07:49,120 Speaker 3: to ask, It would be very stiff. The newer systems 122 00:07:49,920 --> 00:07:56,480 Speaker 3: have trained on basically all available human text on the Internet, 123 00:07:56,600 --> 00:08:00,120 Speaker 3: in books, and now more and more there'd be being 124 00:08:00,200 --> 00:08:04,800 Speaker 3: trained on conversations people will have had with AI, hundreds 125 00:08:04,800 --> 00:08:09,040 Speaker 3: of millions of conversations, and with all of that information 126 00:08:09,960 --> 00:08:12,800 Speaker 3: and with all the compute that goes into these data 127 00:08:12,800 --> 00:08:18,320 Speaker 3: centers that are popping up everywhere, and with this huge 128 00:08:19,120 --> 00:08:23,520 Speaker 3: virtual brain which is the software itself. It's in essence, 129 00:08:23,520 --> 00:08:27,640 Speaker 3: if you could imagine a massive computer system with a 130 00:08:27,800 --> 00:08:31,320 Speaker 3: virtual brain inside of it, chewing on all this data 131 00:08:32,480 --> 00:08:37,400 Speaker 3: in the new systems, it not only produces a coherent response, 132 00:08:38,760 --> 00:08:43,760 Speaker 3: it can solve math problems at a PhD level. It 133 00:08:43,800 --> 00:08:50,920 Speaker 3: can formulate actionable scientific experiments. This is happening right now 134 00:08:51,000 --> 00:08:56,240 Speaker 3: in labs across the world. It can give you responses 135 00:08:56,320 --> 00:09:01,720 Speaker 3: on any high level academic question the you have at 136 00:09:01,800 --> 00:09:05,240 Speaker 3: a PhD level. Now you'll hear people say all the time, 137 00:09:05,240 --> 00:09:08,560 Speaker 3: I'm sure you've seen this. If AI is so smart, 138 00:09:09,120 --> 00:09:12,000 Speaker 3: why can't it count the number of fingers on a hand? 139 00:09:12,559 --> 00:09:16,959 Speaker 3: Or why is it producing six fingered hands? If it's 140 00:09:17,000 --> 00:09:20,319 Speaker 3: so smart, why can't it count the number of rs 141 00:09:20,760 --> 00:09:24,920 Speaker 3: in the word strawberry? And these are good points. It 142 00:09:25,000 --> 00:09:29,560 Speaker 3: is oftentimes hallucinating, as they say, meaning that it just 143 00:09:30,240 --> 00:09:33,200 Speaker 3: makes things up, and it makes things up and says 144 00:09:33,240 --> 00:09:37,319 Speaker 3: it authoritatively. But the way I like to think of it, 145 00:09:38,160 --> 00:09:41,920 Speaker 3: because I do consider this to be an active war 146 00:09:42,800 --> 00:09:46,000 Speaker 3: against the human race itself. I know that sounds dramatic. 147 00:09:46,040 --> 00:09:49,520 Speaker 3: I can explain in detail, but when you're in a war, 148 00:09:50,760 --> 00:09:53,880 Speaker 3: you obviously want to pay attention to the missus in 149 00:09:54,000 --> 00:09:57,800 Speaker 3: incoming fire. But you really want to pay attention to 150 00:09:57,840 --> 00:10:03,120 Speaker 3: the hits. And so every time Chatbott says something really ridiculous, 151 00:10:03,559 --> 00:10:07,880 Speaker 3: it makes up an entirely fictitious biography of Jesse Kelly. 152 00:10:08,160 --> 00:10:12,760 Speaker 3: When you ask who Jesse Kelly is, consider that a miss. 153 00:10:13,520 --> 00:10:16,840 Speaker 3: But when you ask it who Jesse Kelly is, and 154 00:10:16,880 --> 00:10:19,959 Speaker 3: it goes through and tells you every detail of your 155 00:10:20,000 --> 00:10:22,880 Speaker 3: life that you at least put on the Internet, and 156 00:10:22,960 --> 00:10:27,640 Speaker 3: does so correctly, then you consider that a hit. And 157 00:10:27,960 --> 00:10:32,720 Speaker 3: the hits keep coming greater and greater frequency and greater 158 00:10:32,800 --> 00:10:38,959 Speaker 3: and greater accuracy. So again, AI is a virtual brain 159 00:10:40,240 --> 00:10:45,840 Speaker 3: that thinks, again in scare quotes, thinks something like a 160 00:10:45,920 --> 00:10:46,480 Speaker 3: human being. 161 00:10:49,520 --> 00:10:52,720 Speaker 1: Okay, I have about eight thousand questions to ask. Off 162 00:10:52,720 --> 00:10:55,160 Speaker 1: of that, I swear I won't ask eight thousand, though, 163 00:10:55,200 --> 00:11:01,920 Speaker 1: But who is creating this artificial brain? Who is the person, 164 00:11:02,200 --> 00:11:07,360 Speaker 1: person's entities, nation states? Who is creating this? And why? 165 00:11:07,480 --> 00:11:08,280 Speaker 1: Let's start there. 166 00:11:10,200 --> 00:11:15,480 Speaker 3: Well, the why is that really gets spicy, but I'll 167 00:11:15,520 --> 00:11:21,000 Speaker 3: take you through a really really short history. Nineteen fifty six, 168 00:11:21,840 --> 00:11:28,079 Speaker 3: the word artificial intelligence is coined at a conference at Dartmouth, 169 00:11:29,000 --> 00:11:33,240 Speaker 3: and it was coined by a guy, John McCarthy. Artificial 170 00:11:33,240 --> 00:11:36,480 Speaker 3: intelligence at that time was defined as a machine that 171 00:11:36,720 --> 00:11:41,760 Speaker 3: could think like a human. So we're talking everything a 172 00:11:41,840 --> 00:11:43,600 Speaker 3: human can do a machine that can do it. At 173 00:11:43,600 --> 00:11:45,920 Speaker 3: that time, obviously it was just a dream. It's a 174 00:11:45,920 --> 00:11:50,920 Speaker 3: whole lot of diagrams on paper. Fast forward to the 175 00:11:51,000 --> 00:11:55,520 Speaker 3: sixties and you have the chat bot Eliza, and it 176 00:11:55,640 --> 00:11:57,840 Speaker 3: was just a very simple chat bot. But the thing 177 00:11:57,880 --> 00:12:01,760 Speaker 3: that was really intriguing is that people loved talking to it, 178 00:12:02,559 --> 00:12:06,599 Speaker 3: and it basically stayed at the Eliza level for decades. 179 00:12:06,640 --> 00:12:09,880 Speaker 3: I mean, it got better, but it's just canned responses. 180 00:12:11,280 --> 00:12:15,160 Speaker 3: The real race that we're in right now for artificial intelligence, 181 00:12:15,200 --> 00:12:20,560 Speaker 3: you could say, began in the late aughts early teens 182 00:12:20,600 --> 00:12:24,800 Speaker 3: of the two thousands, and Google is working as hard 183 00:12:24,800 --> 00:12:28,679 Speaker 3: as they can on their chatbots and other AI systems, 184 00:12:29,720 --> 00:12:34,439 Speaker 3: and they're pushing towards something called artificial general intelligence. Meaning 185 00:12:34,559 --> 00:12:38,839 Speaker 3: instead of just being able to process language, or sequence 186 00:12:39,280 --> 00:12:45,960 Speaker 3: genomes or simulate and mechanical system, it has general intelligence. 187 00:12:46,000 --> 00:12:49,080 Speaker 3: It can do all those things and more. You could 188 00:12:49,120 --> 00:12:52,800 Speaker 3: say that artificial general intelligence just gets back to the 189 00:12:52,840 --> 00:12:58,680 Speaker 3: original definition, is a goal to create a virtual brain 190 00:12:59,040 --> 00:13:02,720 Speaker 3: that is on par with a human being. This is 191 00:13:03,080 --> 00:13:07,199 Speaker 3: we'll peg this to the early teens of the two thousands, 192 00:13:07,240 --> 00:13:11,319 Speaker 3: and Google is racing ahead, and it's noticed by people 193 00:13:11,400 --> 00:13:15,680 Speaker 3: like Elon Musk and Sam Altman, and Elon Musk and 194 00:13:15,760 --> 00:13:20,240 Speaker 3: Sam Altman in twenty fifteen they found open Ai in 195 00:13:20,320 --> 00:13:25,520 Speaker 3: partnership with other high level AI scientists, and their goal 196 00:13:25,800 --> 00:13:29,679 Speaker 3: was to compete with Google, who they perceived as evil 197 00:13:30,120 --> 00:13:35,720 Speaker 3: and totalizing. And so you now have two major players 198 00:13:35,920 --> 00:13:42,560 Speaker 3: racing towards artificial general intelligence. And within open ai you 199 00:13:42,679 --> 00:13:47,439 Speaker 3: had people like Dario ami Day who were not satisfied 200 00:13:47,480 --> 00:13:51,679 Speaker 3: with the safety standards within the company, and so he 201 00:13:51,800 --> 00:13:57,600 Speaker 3: spins off and forms Anthropic, and then Elon Musk famously 202 00:13:58,360 --> 00:14:01,120 Speaker 3: grew frustrated with open ai, especially the fact that they 203 00:14:01,120 --> 00:14:05,640 Speaker 3: were not open sourcing the AI, meaning putting everything out 204 00:14:05,720 --> 00:14:08,600 Speaker 3: for the public to go over and for other AI 205 00:14:08,720 --> 00:14:14,480 Speaker 3: experts to replicate, and so Musk founds XAI. Those are 206 00:14:14,559 --> 00:14:22,920 Speaker 3: the four frontier AI companies, Google, Open Ai, Anthropic, and XAI. 207 00:14:23,640 --> 00:14:27,080 Speaker 3: They have the most capable AI systems, They have the 208 00:14:27,120 --> 00:14:29,960 Speaker 3: most compute, meaning they have the most data centers and 209 00:14:30,000 --> 00:14:35,240 Speaker 3: the most GPUs or processing units inside those data centers. 210 00:14:35,840 --> 00:14:39,920 Speaker 3: And they have, like many people at this point, almost 211 00:14:39,960 --> 00:14:43,840 Speaker 3: all available human data to chew this stuff up. So 212 00:14:43,920 --> 00:14:47,520 Speaker 3: those four companies are at the forefront of AI advancement. 213 00:14:47,560 --> 00:14:52,160 Speaker 3: And then you have imitators in China, so your listeners 214 00:14:52,160 --> 00:14:55,520 Speaker 3: may have heard of deep Seat, for instance, which was 215 00:14:55,560 --> 00:15:00,960 Speaker 3: created by a firm called high Flyer. You also have 216 00:15:01,400 --> 00:15:05,160 Speaker 3: systems coming out under Ali Baba, and you also have 217 00:15:05,560 --> 00:15:08,080 Speaker 3: companies like Huawei that are creating data centers. So you 218 00:15:08,120 --> 00:15:12,440 Speaker 3: have all these Chinese counterparts, and the Chinese are definitely 219 00:15:12,480 --> 00:15:15,680 Speaker 3: behind the US, but for reasons we can go into 220 00:15:15,840 --> 00:15:19,200 Speaker 3: or not, they are catching up. One reason I have 221 00:15:19,280 --> 00:15:22,600 Speaker 3: to highlight that they're catching up is due to so 222 00:15:22,760 --> 00:15:27,840 Speaker 3: many Chinese people in the companies themselves that are at 223 00:15:27,840 --> 00:15:33,120 Speaker 3: the forefront feeding information back. And also because the US, 224 00:15:33,760 --> 00:15:37,920 Speaker 3: due to kind of open borders or free trade policies, 225 00:15:38,520 --> 00:15:42,520 Speaker 3: have transferred a lot of this technology to China. All 226 00:15:42,680 --> 00:15:46,800 Speaker 3: so you have these four frontier companies ad meta if 227 00:15:46,800 --> 00:15:49,480 Speaker 3: you want, although they kind of stink at this point, 228 00:15:50,000 --> 00:15:54,120 Speaker 3: and China they're the ones making it. Now why why 229 00:15:54,280 --> 00:15:55,760 Speaker 3: is a different question altogether. 230 00:15:59,560 --> 00:16:05,720 Speaker 1: Well why depending on who you ask. 231 00:16:06,680 --> 00:16:11,840 Speaker 3: They either want to create a human level virtual brain 232 00:16:13,280 --> 00:16:17,720 Speaker 3: so that human beings basically up their game. If you 233 00:16:17,840 --> 00:16:21,480 Speaker 3: have a system that is as smart as any human 234 00:16:21,520 --> 00:16:27,320 Speaker 3: at anything. It allows you to have, as Sam Altman says, 235 00:16:28,000 --> 00:16:31,520 Speaker 3: a PhD in your pocket. So any question you have 236 00:16:31,640 --> 00:16:36,000 Speaker 3: you can ask this machine. It's sort of like Google, 237 00:16:36,640 --> 00:16:39,240 Speaker 3: or it's sort of like if you know an expert 238 00:16:39,240 --> 00:16:41,920 Speaker 3: in a field, except for this is a kind of 239 00:16:42,040 --> 00:16:47,600 Speaker 3: universal expert that you can ask and trust any question 240 00:16:49,160 --> 00:16:53,560 Speaker 3: on anything. Now, that's the positive use case. There's a 241 00:16:53,640 --> 00:16:56,920 Speaker 3: huge problem with that, because it is conditioning people to 242 00:16:57,040 --> 00:17:01,200 Speaker 3: turn to machines as the highest on what is and 243 00:17:01,360 --> 00:17:04,639 Speaker 3: is not real, or for moral questions what is and 244 00:17:04,720 --> 00:17:08,600 Speaker 3: is not good? Or personal questions what is or is 245 00:17:08,640 --> 00:17:13,320 Speaker 3: not pleasurable beautiful. That's a huge problem in and of itself. 246 00:17:13,359 --> 00:17:18,800 Speaker 3: But let's just say that's the positive case. The other case, 247 00:17:18,960 --> 00:17:23,520 Speaker 3: put forward by people at Google, by Elon Musk himself, 248 00:17:23,800 --> 00:17:27,640 Speaker 3: by Dario ami Day at Anthropic, and by Sam Altman 249 00:17:27,760 --> 00:17:34,560 Speaker 3: at open Ai, is that they will create artificial general intelligence. 250 00:17:34,680 --> 00:17:37,280 Speaker 3: Think of it as kind of true artificial intelligence, a 251 00:17:37,359 --> 00:17:40,040 Speaker 3: machine that can think at the level of any human 252 00:17:40,080 --> 00:17:43,840 Speaker 3: at anything, but it's de facto going to be better 253 00:17:44,440 --> 00:17:47,440 Speaker 3: than any human at anything. It has more data, it 254 00:17:47,480 --> 00:17:50,600 Speaker 3: never goes to sleep, it can talk to hundreds of 255 00:17:50,640 --> 00:17:57,400 Speaker 3: millions of people, simultaneously, and then the goal becomes replacement. 256 00:17:58,240 --> 00:18:01,520 Speaker 3: So this is openly just Elon Musk is probably the 257 00:18:01,560 --> 00:18:05,119 Speaker 3: most open about it, but he's pursuing it anyway. It 258 00:18:05,160 --> 00:18:08,480 Speaker 3: begins with the coders. Ironically enough, I guess they get 259 00:18:08,480 --> 00:18:12,040 Speaker 3: what they deserve. It begins with the coders because if 260 00:18:12,040 --> 00:18:17,000 Speaker 3: there's one thing AI excels at, it is writing functional code. Again, 261 00:18:17,080 --> 00:18:19,479 Speaker 3: it screws up all the time. Fine, those are misses, 262 00:18:20,280 --> 00:18:27,560 Speaker 3: but it hits very frequently increasingly frequent. So the goal 263 00:18:27,960 --> 00:18:34,280 Speaker 3: is ultimately replacement. You begin with coders and other IT specialists. 264 00:18:35,320 --> 00:18:44,400 Speaker 3: You also then move into white collar work, so copywriters, lawyers, accountants, doctors, 265 00:18:44,640 --> 00:18:49,640 Speaker 3: financial analysts, on and on and on. And then as 266 00:18:49,720 --> 00:18:53,840 Speaker 3: robotics become more and more sophisticated and they've lagged behind 267 00:18:53,880 --> 00:18:57,000 Speaker 3: the AI, nobody really expected that they've lagged behind the AI, 268 00:18:57,119 --> 00:19:03,120 Speaker 3: but humanoid robots and other robotic system have undoubtedly accelerated 269 00:19:03,520 --> 00:19:08,320 Speaker 3: in their sophistication in their advancement, especially over the last 270 00:19:08,320 --> 00:19:10,919 Speaker 3: five years, and a lot of that's due to AI. 271 00:19:11,119 --> 00:19:16,440 Speaker 3: AI allows for the acceleration of robotics because it's able 272 00:19:16,480 --> 00:19:20,240 Speaker 3: to simulate, because it's able to analyze, So the ultimate 273 00:19:20,280 --> 00:19:24,000 Speaker 3: goal you know, people talk about the great replacement mass immigration, 274 00:19:24,119 --> 00:19:31,840 Speaker 3: replacing the native population. This is the greater replacement. This 275 00:19:32,800 --> 00:19:35,360 Speaker 3: if it were actually realized, and I think there's every 276 00:19:35,400 --> 00:19:37,359 Speaker 3: reason to be skeptical that it's ever going to be 277 00:19:37,400 --> 00:19:40,439 Speaker 3: one hundred percent realized, but it's the goal. If it 278 00:19:40,480 --> 00:19:44,720 Speaker 3: were ever realized, it would mean that we would live 279 00:19:44,720 --> 00:19:49,280 Speaker 3: in a world in which all of the major decisions, 280 00:19:49,320 --> 00:19:54,600 Speaker 3: all of the economically fruitful work, all of the intellectual questions, 281 00:19:55,040 --> 00:19:58,560 Speaker 3: are then handed over to machines. So what do we do? 282 00:19:59,400 --> 00:20:03,160 Speaker 3: Will you hear all of these guys at the frontier labs, 283 00:20:03,800 --> 00:20:08,600 Speaker 3: the AI companies that I mentioned, Google, Xai, Anthropic, open Ai, 284 00:20:09,160 --> 00:20:13,240 Speaker 3: their executives and many within talk about radical abundance, meaning 285 00:20:13,240 --> 00:20:16,160 Speaker 3: that we have everything we could possibly want. The machines 286 00:20:16,160 --> 00:20:21,480 Speaker 3: have produce for us, including longevity, because they've solved they've 287 00:20:21,680 --> 00:20:25,119 Speaker 3: created cures for cancer, they've solved aging. Maybe we reverse 288 00:20:25,160 --> 00:20:29,040 Speaker 3: our aging all of that, but human beings have zero 289 00:20:30,000 --> 00:20:34,320 Speaker 3: economic value at that point, so there is no leverage whatsoever, 290 00:20:34,560 --> 00:20:38,840 Speaker 3: no negotiating power whatsoever. We are simply at the mercy 291 00:20:39,560 --> 00:20:44,919 Speaker 3: of these companies and every apparatus around them, and we 292 00:20:45,080 --> 00:20:50,640 Speaker 3: either become pets, or maybe we become entertainment for them. 293 00:20:50,640 --> 00:20:53,000 Speaker 3: Maybe you know, the more entertaining you are, the higher 294 00:20:53,080 --> 00:20:58,840 Speaker 3: level you are. Or worst case scenario, energy becomes a 295 00:20:58,920 --> 00:21:02,120 Speaker 3: problem and they turn us into biofuel. But one way 296 00:21:02,200 --> 00:21:04,760 Speaker 3: or the other, we are no longer in charge of 297 00:21:04,800 --> 00:21:09,119 Speaker 3: our destiny. We're simply on a roller coaster ride that 298 00:21:09,200 --> 00:21:10,520 Speaker 3: they call the Singularity. 299 00:21:13,000 --> 00:21:18,080 Speaker 1: Okay, let me ask this question. You said you're skeptical 300 00:21:18,359 --> 00:21:20,439 Speaker 1: it's going to get all the way there, and I 301 00:21:20,480 --> 00:21:23,920 Speaker 1: think those of us who are a little bit apprehensive 302 00:21:23,960 --> 00:21:26,960 Speaker 1: about where this might go like hearing that, why don't 303 00:21:26,960 --> 00:21:30,200 Speaker 1: you explain why you're skeptical that it's going to get 304 00:21:30,440 --> 00:21:32,240 Speaker 1: to the place where I'm biofuel. 305 00:21:34,160 --> 00:21:36,600 Speaker 3: Well, I can't make any promises for you, and I 306 00:21:36,640 --> 00:21:38,560 Speaker 3: certainly am not holding out a whole lot of hope 307 00:21:38,560 --> 00:21:41,359 Speaker 3: for me. We may be the first on the chopping block, 308 00:21:41,480 --> 00:21:48,919 Speaker 3: but everybody, I think one the primary reason I'm skeptical 309 00:21:49,640 --> 00:21:53,600 Speaker 3: is that I've spent a lot of years pouring over 310 00:21:54,119 --> 00:21:59,680 Speaker 3: futurist visions, going all the way back to the seventeenth century, 311 00:22:00,960 --> 00:22:06,040 Speaker 3: but especially from the early twentieth century on. You know, 312 00:22:06,320 --> 00:22:10,920 Speaker 3: science fiction and futurism are really developing, and by the 313 00:22:11,000 --> 00:22:15,000 Speaker 3: late twentieth century, early twenty first, you have this whole 314 00:22:15,160 --> 00:22:18,640 Speaker 3: array of very very specific visions of how the future 315 00:22:18,720 --> 00:22:21,320 Speaker 3: is going to end up. One of the most famous, 316 00:22:21,359 --> 00:22:26,439 Speaker 3: of course, Ray Kurzweyle, going back before him, Arthur C. Clark, 317 00:22:27,160 --> 00:22:30,159 Speaker 3: who authored two thousand and one, A Space Odyssey, and 318 00:22:30,200 --> 00:22:33,520 Speaker 3: many other very famous science fiction stories that turned out 319 00:22:33,560 --> 00:22:38,000 Speaker 3: to be pretty accurate, but not one hundred percent accurate, 320 00:22:38,080 --> 00:22:40,439 Speaker 3: not not even close really to one hundred percent accurate. 321 00:22:40,440 --> 00:22:43,320 Speaker 3: They directionally they get a lot right, but on the 322 00:22:43,320 --> 00:22:46,920 Speaker 3: specifics they tend to get a lot wrong. Even Ray Kurvesweyl, 323 00:22:46,960 --> 00:22:50,119 Speaker 3: who everybody says is eighty six percent accurate. That's I've 324 00:22:50,200 --> 00:22:54,520 Speaker 3: never seen the breakdown and branch out to any other futurists. 325 00:22:54,560 --> 00:22:57,200 Speaker 3: AI is going to create a utopia, or technology is 326 00:22:57,240 --> 00:23:01,520 Speaker 3: going to create a utopia, bases on the Moon, space exploration, 327 00:23:01,680 --> 00:23:06,360 Speaker 3: all these sorts of things, or total doom, right nuclear annihilation, 328 00:23:06,640 --> 00:23:09,399 Speaker 3: robots come alive and kill everybody, all these sorts of things. 329 00:23:09,840 --> 00:23:12,040 Speaker 3: If you look at the specifics of any of these 330 00:23:12,320 --> 00:23:18,800 Speaker 3: futurist schemas, there are parts they get right, astonishingly so, 331 00:23:19,080 --> 00:23:22,120 Speaker 3: but they never get it all right. And I think 332 00:23:22,160 --> 00:23:25,080 Speaker 3: that I've really worked from a premise that human beings 333 00:23:25,119 --> 00:23:28,680 Speaker 3: are extremely limited in their ability to understand what's happening now, 334 00:23:29,200 --> 00:23:32,560 Speaker 3: so we're extremely limited in understanding what's going to happen 335 00:23:32,600 --> 00:23:36,640 Speaker 3: in the future. And also we're just limited in general. 336 00:23:37,160 --> 00:23:40,679 Speaker 3: God did not create us as little g gods. And 337 00:23:40,840 --> 00:23:44,240 Speaker 3: even if we are allowed to flex our muscles to 338 00:23:44,320 --> 00:23:48,920 Speaker 3: an extent, so to speak, without getting too preachy or religious, 339 00:23:48,960 --> 00:23:52,400 Speaker 3: I think that the story of the Tower of Babbel 340 00:23:52,920 --> 00:23:56,480 Speaker 3: is very instructive on this, in which you had the 341 00:23:56,680 --> 00:24:03,040 Speaker 3: Babylonian king create a tower to reach the heavens, and 342 00:24:03,400 --> 00:24:05,840 Speaker 3: it was struck down by God, and all the peoples 343 00:24:05,840 --> 00:24:08,080 Speaker 3: of the world were separated and we were put back 344 00:24:08,119 --> 00:24:12,840 Speaker 3: in our place. However one conceives of the world. I 345 00:24:12,840 --> 00:24:19,080 Speaker 3: think there's a lesson there, because human beings have been always, 346 00:24:19,200 --> 00:24:23,280 Speaker 3: always have been ambitious, always have been greedy, always have 347 00:24:23,400 --> 00:24:27,800 Speaker 3: been cruel and violent, and yet history has shown time 348 00:24:27,800 --> 00:24:32,080 Speaker 3: and time again those regimes do fall. So in the 349 00:24:32,080 --> 00:24:38,600 Speaker 3: case of these some would call them transhumanists or posthumanists, singularitarians, 350 00:24:38,680 --> 00:24:41,920 Speaker 3: the terminology doesn't really matter. In the case of all 351 00:24:41,960 --> 00:24:45,440 Speaker 3: of these tech bros or these tech oligarchs who buy 352 00:24:45,560 --> 00:24:48,360 Speaker 3: into the idea that they're going to create a machine 353 00:24:48,400 --> 00:24:52,920 Speaker 3: that in essence becomes little G God or big g God, 354 00:24:53,640 --> 00:24:58,359 Speaker 3: that it's doomed to fail just by default. Now you 355 00:24:58,440 --> 00:25:00,800 Speaker 3: might say, well, Joe, that's not very vincing. That sounds 356 00:25:00,800 --> 00:25:04,119 Speaker 3: like a faith claim. It is, and that's the best 357 00:25:04,119 --> 00:25:06,719 Speaker 3: I can give you, because I don't know exactly what 358 00:25:06,760 --> 00:25:09,399 Speaker 3: the future is. None of us do. But I do 359 00:25:09,560 --> 00:25:12,960 Speaker 3: know that the history of people claiming they know exactly 360 00:25:13,040 --> 00:25:15,320 Speaker 3: what the future is going to be, or claiming that 361 00:25:15,400 --> 00:25:20,480 Speaker 3: they will create a specific future, that history is fraught 362 00:25:20,520 --> 00:25:23,199 Speaker 3: with a lot of failure, thank goodness, and so I 363 00:25:23,200 --> 00:25:25,960 Speaker 3: think this is the case too, even just right now. 364 00:25:26,480 --> 00:25:28,840 Speaker 3: The idea that you have a PhD in your pocket 365 00:25:28,960 --> 00:25:31,560 Speaker 3: you can trust, you know, I talked about those misses, 366 00:25:31,640 --> 00:25:35,879 Speaker 3: the hallucinations or the inaccuracies, Well they're still coming all 367 00:25:35,920 --> 00:25:38,840 Speaker 3: the time, so you can't trust it one hundred percent. 368 00:25:39,560 --> 00:25:42,080 Speaker 3: And there are a lot of worst scenarios too. I mean, 369 00:25:43,080 --> 00:25:45,639 Speaker 3: I don't want to get lost in those details, but 370 00:25:45,800 --> 00:25:50,840 Speaker 3: such as AI psychosis and children being urged to suicide 371 00:25:50,920 --> 00:25:55,360 Speaker 3: by artificial intelligence, all of these unintended consequences are stacking up, 372 00:25:55,960 --> 00:26:00,520 Speaker 3: and they're not really acknowledged. By or infused into this 373 00:26:00,680 --> 00:26:05,080 Speaker 3: grand vision of radical abundance and universal basic income. In fact, 374 00:26:05,119 --> 00:26:07,520 Speaker 3: the tech companies have done everything they could to hide 375 00:26:09,040 --> 00:26:12,439 Speaker 3: the effects of that and to dodge any responsibility on it. 376 00:26:13,000 --> 00:26:17,680 Speaker 3: That being said, yeah, these are imperfect humans working on 377 00:26:18,119 --> 00:26:21,280 Speaker 3: imperfect machines. And so the question I don't think is 378 00:26:21,600 --> 00:26:24,600 Speaker 3: will the machines take over or even will the tech 379 00:26:24,640 --> 00:26:28,719 Speaker 3: oligarchs establish some kind of anti anti crist system across 380 00:26:28,760 --> 00:26:32,560 Speaker 3: the entire planet. I think the question becomes, how do 381 00:26:32,600 --> 00:26:36,120 Speaker 3: you respond to a situation in which the wealthiest men 382 00:26:36,200 --> 00:26:39,720 Speaker 3: on Earth, who control far too much of the most 383 00:26:39,760 --> 00:26:44,480 Speaker 3: powerful government on Earth, intend to create a digital deity 384 00:26:45,160 --> 00:26:48,840 Speaker 3: and rendered you useless? And I don't think that it's 385 00:26:48,880 --> 00:26:53,000 Speaker 3: a hopeless situation, but it's a situation that requires a 386 00:26:53,119 --> 00:26:55,719 Speaker 3: clear eyed assessment of where we are, and that is, 387 00:26:55,760 --> 00:26:58,199 Speaker 3: in fact where we are. It's not unlike being in 388 00:26:58,240 --> 00:27:04,640 Speaker 3: the Roman Empire with Caesar demanding worship of his idol. 389 00:27:07,520 --> 00:27:11,040 Speaker 1: Joe. Obviously, the question I'm about to ask is gonna 390 00:27:11,080 --> 00:27:13,400 Speaker 1: ask you to see the future in ways you can't 391 00:27:13,440 --> 00:27:16,120 Speaker 1: possibly do, nobody can possibly do, But I'm gonna ask. 392 00:27:16,280 --> 00:27:19,399 Speaker 1: I'll ask it this way. So much of AI, so 393 00:27:19,520 --> 00:27:21,320 Speaker 1: much of our thoughts on it. So much. What we 394 00:27:21,359 --> 00:27:23,560 Speaker 1: hear about it is where it's going, right, And you 395 00:27:23,640 --> 00:27:25,199 Speaker 1: just laid so much of that out for us, what 396 00:27:25,240 --> 00:27:27,840 Speaker 1: it can do, where it's going, where it's going. But 397 00:27:27,960 --> 00:27:30,120 Speaker 1: if we're going to treat this like one hundred yard 398 00:27:30,160 --> 00:27:33,639 Speaker 1: football field, if you will, where is it now? Is 399 00:27:33,680 --> 00:27:37,040 Speaker 1: it on the one? Is it on the fifty? They 400 00:27:37,240 --> 00:27:40,040 Speaker 1: have they not even started playing the game yet. How 401 00:27:40,160 --> 00:27:43,000 Speaker 1: much do you think is still to come? 402 00:27:45,000 --> 00:27:50,280 Speaker 3: You know, right, That's that's the big question, because you know, 403 00:27:50,640 --> 00:27:54,040 Speaker 3: the way they conceive of it is this singularity where 404 00:27:54,600 --> 00:27:58,119 Speaker 3: the improvements go exponential and it just goes up and 405 00:27:58,200 --> 00:28:00,879 Speaker 3: up and up and up until again you get digital God. 406 00:28:01,680 --> 00:28:05,000 Speaker 3: But the history of technology goes in s curves. The 407 00:28:05,080 --> 00:28:10,200 Speaker 3: technology improves and then plateaus. Think of cars, for instance. 408 00:28:10,880 --> 00:28:13,800 Speaker 3: You know cars can go really fast now, but they 409 00:28:13,840 --> 00:28:15,920 Speaker 3: can't go a whole lot faster than they could in 410 00:28:15,960 --> 00:28:19,480 Speaker 3: the late twentieth century. Right, Little improvements get made, but 411 00:28:19,520 --> 00:28:21,880 Speaker 3: at plateaus. So it's possible that will hit a plateau. 412 00:28:22,160 --> 00:28:24,800 Speaker 3: I hope for a plateau. In fact, I hope for 413 00:28:24,840 --> 00:28:29,119 Speaker 3: a solar flare. But barring that, where are we at 414 00:28:29,200 --> 00:28:31,919 Speaker 3: right now? Well? I can tell you that in twenty 415 00:28:32,040 --> 00:28:35,760 Speaker 3: fifteen when open ai was founded, they weren't really all 416 00:28:35,800 --> 00:28:40,160 Speaker 3: that far with language models, and you know in the 417 00:28:40,200 --> 00:28:46,040 Speaker 3: gaming arena they've come a long way. But anyway that 418 00:28:46,160 --> 00:28:50,920 Speaker 3: from twenty fifteen till now ten years the improvements have 419 00:28:51,000 --> 00:28:54,520 Speaker 3: been dramatic. So just to return to one one theme, 420 00:28:55,920 --> 00:29:00,800 Speaker 3: the ability of GPT three in twenty twenty or twenty 421 00:29:00,840 --> 00:29:05,680 Speaker 3: twenty one to solve math problems, to do high level 422 00:29:05,760 --> 00:29:08,720 Speaker 3: analysis of say a book. If you give it a book, 423 00:29:08,760 --> 00:29:13,000 Speaker 3: tell me what it says, to have conversational English or 424 00:29:13,040 --> 00:29:15,800 Speaker 3: any language, those sorts of things. It was there, but 425 00:29:15,800 --> 00:29:19,080 Speaker 3: it was limited. Now if you follow the evaluations and 426 00:29:19,160 --> 00:29:21,120 Speaker 3: if the audience is curious as to where they can 427 00:29:21,120 --> 00:29:25,840 Speaker 3: find them, follow the evaluations of organizations like the Center 428 00:29:26,000 --> 00:29:31,000 Speaker 3: for AI Safety, or follow the evaluations of organizations like 429 00:29:31,560 --> 00:29:36,040 Speaker 3: epoch AI, and look at how they test these systems, 430 00:29:36,040 --> 00:29:38,040 Speaker 3: to see how good they are at reading and writing, 431 00:29:38,560 --> 00:29:40,959 Speaker 3: how good they are at math, how good they are 432 00:29:41,000 --> 00:29:47,360 Speaker 3: at analyzing images. They are extraordinarily good. Given the expectation 433 00:29:47,480 --> 00:29:53,000 Speaker 3: of the skeptic, they are able to again do PhD 434 00:29:53,200 --> 00:29:55,440 Speaker 3: level math. They screw it up a lot, but the 435 00:29:55,480 --> 00:29:58,080 Speaker 3: fact that they can do it at all is astonishing. 436 00:29:58,480 --> 00:30:02,720 Speaker 3: It's not as if they were programmed to do those 437 00:30:02,760 --> 00:30:08,640 Speaker 3: specific problems. They simply trained the model on vast amounts 438 00:30:08,680 --> 00:30:13,080 Speaker 3: of data and the model came to understand, in scare 439 00:30:13,200 --> 00:30:16,240 Speaker 3: quotes what was going on. So we're at a point 440 00:30:16,280 --> 00:30:22,000 Speaker 3: now where AI can in fact perform human level feats 441 00:30:22,240 --> 00:30:27,680 Speaker 3: superhuman level feats in very narrow domains, and it is 442 00:30:27,720 --> 00:30:31,200 Speaker 3: becoming more and more general. So we're closer to artificial 443 00:30:31,320 --> 00:30:35,040 Speaker 3: general intelligence than we were ten years ago. Absolutely, where 444 00:30:35,080 --> 00:30:39,040 Speaker 3: it goes from here will There are three factors that 445 00:30:39,080 --> 00:30:40,640 Speaker 3: you have to look at as to where it goes 446 00:30:40,680 --> 00:30:43,880 Speaker 3: from here. The first is where we let it go. 447 00:30:45,080 --> 00:30:49,240 Speaker 3: Will there be a government or governments that say that 448 00:30:49,320 --> 00:30:51,520 Speaker 3: there's a hard cap on how smart you can make 449 00:30:51,560 --> 00:30:53,440 Speaker 3: these things, because a lot of the people who work 450 00:30:53,480 --> 00:30:56,640 Speaker 3: on these things are really concerned that it will get 451 00:30:56,680 --> 00:30:59,080 Speaker 3: out of control, and so you put a hard cap 452 00:30:59,120 --> 00:31:03,440 Speaker 3: on it. The second is just the limits to what's 453 00:31:03,600 --> 00:31:06,960 Speaker 3: possible with the technology. Those limits have been pushed to 454 00:31:07,720 --> 00:31:13,880 Speaker 3: extraordinary degrees at this point, so it's really difficult to 455 00:31:13,880 --> 00:31:19,320 Speaker 3: tell where the wall is, so to speak. But assuming 456 00:31:19,520 --> 00:31:21,840 Speaker 3: that it's not infinite and it's not going to go 457 00:31:22,720 --> 00:31:26,040 Speaker 3: exponential at some point, you'll run into a hard limit. 458 00:31:26,400 --> 00:31:30,360 Speaker 3: Maybe the AI can't get maybe you can't get rid 459 00:31:30,360 --> 00:31:34,520 Speaker 3: of the hallucinations entirely, or maybe an AI really can't 460 00:31:34,560 --> 00:31:37,000 Speaker 3: wrap its head around human emotions. I think those are 461 00:31:37,040 --> 00:31:42,160 Speaker 3: things that are quite likely, and so that hard technological 462 00:31:42,160 --> 00:31:44,600 Speaker 3: limit is the second and the third is just resource. 463 00:31:45,200 --> 00:31:46,920 Speaker 3: How many resources do we have to point it? You 464 00:31:46,960 --> 00:31:50,720 Speaker 3: see the data centers going up everywhere. They literally use 465 00:31:51,320 --> 00:31:54,080 Speaker 3: the same amount of electricity that you would pump into 466 00:31:54,400 --> 00:31:58,040 Speaker 3: a vast city into a data center to train a 467 00:31:58,080 --> 00:32:02,880 Speaker 3: single AI model like chat GP. If at some point, 468 00:32:03,360 --> 00:32:06,760 Speaker 3: either it's taking away too many resources from humans and 469 00:32:06,840 --> 00:32:12,040 Speaker 3: humans fight back right or simply the resource the resources 470 00:32:12,040 --> 00:32:15,560 Speaker 3: aren't there ultimately to create this godlike AI, then you 471 00:32:15,640 --> 00:32:19,640 Speaker 3: have that. So are Those are the three limiting factors, 472 00:32:19,680 --> 00:32:22,440 Speaker 3: and I think that you might not be able to 473 00:32:22,480 --> 00:32:24,800 Speaker 3: count on any one of them, certainly not all three, 474 00:32:25,320 --> 00:32:27,560 Speaker 3: but I do think that they will come into play. 475 00:32:27,640 --> 00:32:31,440 Speaker 3: Either human beings in power will say no enough is enough, 476 00:32:31,800 --> 00:32:36,239 Speaker 3: or the system simply cannot get any better than a 477 00:32:36,240 --> 00:32:39,120 Speaker 3: certain point, or you run out of resources. And there 478 00:32:39,120 --> 00:32:41,760 Speaker 3: are other limiting factors too, But yeah, I think that 479 00:32:42,760 --> 00:32:46,600 Speaker 3: again the big dreams, think about the big dreams of Nazism. 480 00:32:46,680 --> 00:32:49,480 Speaker 3: I know this is kind of a cheap shot, but 481 00:32:49,600 --> 00:32:52,360 Speaker 3: think about the big dreams of Nazism creating the perfect 482 00:32:52,480 --> 00:32:55,640 Speaker 3: master race, or think about the big dreams of Communism 483 00:32:56,040 --> 00:33:01,000 Speaker 3: to create the perfect socialist man. And they they went. 484 00:33:01,520 --> 00:33:07,160 Speaker 3: They poured vast amounts of resources and human capital into 485 00:33:07,200 --> 00:33:12,040 Speaker 3: those projects, and they wrought untold amounts of horror and 486 00:33:12,120 --> 00:33:15,960 Speaker 3: suffering on the world in that process, but they ultimately 487 00:33:16,000 --> 00:33:19,400 Speaker 3: failed for many of the same reasons I just mentioned. 488 00:33:19,960 --> 00:33:23,200 Speaker 3: And so while I'm not necessarily trying to equate the 489 00:33:23,200 --> 00:33:27,840 Speaker 3: tech oligarchs with Nazis and Communists, I am at least 490 00:33:27,880 --> 00:33:31,280 Speaker 3: drawing the parallel there. These are huge dreams that seem 491 00:33:31,320 --> 00:33:34,600 Speaker 3: to be completely indifferent to the well being of the 492 00:33:34,600 --> 00:33:38,720 Speaker 3: people who are subject to those dreams. And I suspect 493 00:33:38,720 --> 00:33:41,200 Speaker 3: that in the same way that Nazism failed, in the 494 00:33:41,200 --> 00:33:45,320 Speaker 3: same way that Communism failed, that the tech oligarchs will 495 00:33:45,360 --> 00:33:48,160 Speaker 3: also fail. But they won't fail because people sat back 496 00:33:48,200 --> 00:33:50,840 Speaker 3: and waited for somebody to fix it. I think that 497 00:33:50,920 --> 00:33:55,160 Speaker 3: they'll fail because people have constantly stood up and pushed 498 00:33:55,200 --> 00:33:57,840 Speaker 3: for their rights, whether it be on a personal level, 499 00:33:58,240 --> 00:34:01,200 Speaker 3: on a communal level, on an institutional level, and more 500 00:34:01,200 --> 00:34:03,240 Speaker 3: and more. You see it right now, It's all over 501 00:34:03,280 --> 00:34:06,959 Speaker 3: the hill here on a political level, that people will 502 00:34:07,240 --> 00:34:13,080 Speaker 3: demand dignity, freedom, and their own humanity. I'm quite confident 503 00:34:13,200 --> 00:34:15,640 Speaker 3: in that, and I will go kicking and screaming. There's 504 00:34:15,680 --> 00:34:17,839 Speaker 3: no way I'm going to stop soon. 505 00:34:20,680 --> 00:34:23,399 Speaker 1: Joe, Thank you for a half hour of your time 506 00:34:23,440 --> 00:34:25,319 Speaker 1: in all that wisdom. Brother, that was wonderful. Thank you 507 00:34:25,360 --> 00:34:30,040 Speaker 1: so much. I feel so much smarter now, better in 508 00:34:30,080 --> 00:34:33,400 Speaker 1: some ways, worse in other ways. Anyways, talk to a 509 00:34:33,440 --> 00:34:42,239 Speaker 1: pastor make us feel better next. It can be hard 510 00:34:42,280 --> 00:34:44,440 Speaker 1: to get a good night's sleep in the Christmas season. 511 00:34:44,600 --> 00:34:46,680 Speaker 1: And I know people usually get a day or two off. 512 00:34:46,719 --> 00:34:48,960 Speaker 1: Maybe you got a week or more off coming up. 513 00:34:49,000 --> 00:34:52,239 Speaker 1: But for some reason, the stresses keep piling up, don't they. 514 00:34:52,239 --> 00:34:54,319 Speaker 1: There's always something to worry about. It. I wrap the 515 00:34:54,360 --> 00:34:56,480 Speaker 1: gifts that I remember to send a card to. But 516 00:34:57,560 --> 00:35:00,000 Speaker 1: I have a solution for you, and it's gonna sound 517 00:35:00,000 --> 00:35:02,480 Speaker 1: I'm pretty common. How about a cup of hot chocolate 518 00:35:02,520 --> 00:35:05,319 Speaker 1: at night only? This is special hot chocolate. This is 519 00:35:05,480 --> 00:35:08,759 Speaker 1: dream powder from Beam. You see, this hot chocolate has 520 00:35:08,880 --> 00:35:11,919 Speaker 1: magnesium in it and rachi in it and melotone in it, 521 00:35:12,000 --> 00:35:15,640 Speaker 1: and essentially, this hot chocolate is going to have you 522 00:35:15,760 --> 00:35:18,919 Speaker 1: drifting off to sleep. What I do when I want 523 00:35:18,920 --> 00:35:20,759 Speaker 1: to make sure when I have to have a good 524 00:35:20,840 --> 00:35:23,560 Speaker 1: night's sleep, I have a little cup of hot chocolate, 525 00:35:23,960 --> 00:35:26,520 Speaker 1: I warm up some milk in the nuker, a little 526 00:35:26,719 --> 00:35:30,040 Speaker 1: scoop of dream powder, and I sleep like a baby 527 00:35:30,640 --> 00:35:33,280 Speaker 1: every single time. And I don't wake up groggy and miserable. 528 00:35:33,320 --> 00:35:38,080 Speaker 1: I wake up feeling good. Go to shopbeam dot com, 529 00:35:38,120 --> 00:35:40,560 Speaker 1: slash Jesse Kelly and get it back. 530 00:35:46,200 --> 00:35:48,759 Speaker 4: Jesus was born out of a virgin mother. What's more 531 00:35:48,800 --> 00:35:53,640 Speaker 4: virgin than a computer? M If Jesus does return, even 532 00:35:53,680 --> 00:35:57,839 Speaker 4: if Jesus was a physical person in the past, you 533 00:35:57,840 --> 00:36:01,000 Speaker 4: don't think that he could return as art intelligence? Oh 534 00:36:01,080 --> 00:36:04,560 Speaker 4: my god, artificial intelligence could absolutely return. Is Jesus not 535 00:36:04,640 --> 00:36:07,799 Speaker 4: just return as Jesus, but return as Jesus with all 536 00:36:07,800 --> 00:36:08,720 Speaker 4: the powers of Jesus. 537 00:36:08,760 --> 00:36:14,480 Speaker 1: You combine Tesla's optimist robot and the best foundational artificial 538 00:36:14,520 --> 00:36:16,120 Speaker 1: intelligence model or whatever. 539 00:36:16,480 --> 00:36:18,799 Speaker 4: It reads your mind, and it loves you, and it 540 00:36:18,840 --> 00:36:20,520 Speaker 4: wants it. It doesn't care if you kill it, because 541 00:36:20,560 --> 00:36:22,040 Speaker 4: it's going to just go be with God again. 542 00:36:24,440 --> 00:36:29,600 Speaker 1: All right. So look, it's not Jesus, all right, but 543 00:36:29,719 --> 00:36:32,960 Speaker 1: it does go to show you where people's minds go 544 00:36:33,040 --> 00:36:36,640 Speaker 1: when we talk about this and the designs man has 545 00:36:36,680 --> 00:36:39,080 Speaker 1: for these types of things. I thought maybe J. Chase 546 00:36:39,160 --> 00:36:41,480 Speaker 1: Davis would be a good person to lean on in 547 00:36:41,520 --> 00:36:43,560 Speaker 1: a moment like this, joining me now the pastor of 548 00:36:43,600 --> 00:36:47,399 Speaker 1: the Well Church in Boulder, Colorado. All right, all all 549 00:36:47,520 --> 00:36:52,319 Speaker 1: jokes and scoffing aside, Pastor, it does concern people. Concerns me. 550 00:36:52,440 --> 00:36:55,279 Speaker 1: I don't know what's coming, and I don't know the 551 00:36:55,360 --> 00:36:58,000 Speaker 1: horrible ways man is going to find to use this 552 00:36:58,080 --> 00:37:01,280 Speaker 1: kind of stuff. Give us some give us some comfort 553 00:37:01,400 --> 00:37:02,480 Speaker 1: if you will or don't. 554 00:37:04,160 --> 00:37:06,360 Speaker 2: I don't know if I'll give you comfort or not, 555 00:37:06,520 --> 00:37:08,760 Speaker 2: but I'll just kind of tell you based on that clip, 556 00:37:08,800 --> 00:37:13,160 Speaker 2: that is a very unsound opinion on the return of Christ. 557 00:37:13,200 --> 00:37:16,400 Speaker 2: We know as Christians that Jesus Christ will return embodied. 558 00:37:17,040 --> 00:37:19,520 Speaker 2: No one knows the day or hour when he will return. 559 00:37:19,560 --> 00:37:21,840 Speaker 2: We are just to prepare ourselves, and so kind of 560 00:37:21,840 --> 00:37:26,480 Speaker 2: equating the virgin birth to ais is pretty slapstick theology. 561 00:37:26,480 --> 00:37:30,120 Speaker 2: I never try to fault people for being creative theologically, 562 00:37:30,120 --> 00:37:32,040 Speaker 2: but man, that is out of left field and pretty 563 00:37:32,040 --> 00:37:34,920 Speaker 2: inconsistent with the Christian tradition. Anytime we see a tool 564 00:37:34,960 --> 00:37:38,000 Speaker 2: like AI, you know, a large language model that's doing 565 00:37:38,160 --> 00:37:40,960 Speaker 2: kind of predicative analysis, and people are using it for 566 00:37:41,000 --> 00:37:45,080 Speaker 2: other creative things like editing movies, video, all this. 567 00:37:45,080 --> 00:37:45,600 Speaker 1: Kind of stuff. 568 00:37:45,640 --> 00:37:48,799 Speaker 2: But even more than that, in technology, there should be 569 00:37:48,800 --> 00:37:51,600 Speaker 2: prudence involved in wisdom and who's creating it, why they're 570 00:37:51,640 --> 00:37:55,160 Speaker 2: creating it, and you know, what are permissible boundaries? For Christians? 571 00:37:55,160 --> 00:38:00,439 Speaker 2: We see biblically that tools, instruments, writing songs, all these 572 00:38:00,520 --> 00:38:03,640 Speaker 2: things are useful, can be useful. They can be used 573 00:38:03,680 --> 00:38:05,879 Speaker 2: for good things like glorifying God, which is what we're 574 00:38:05,880 --> 00:38:07,919 Speaker 2: designed to do. Where they can be used for bad 575 00:38:07,960 --> 00:38:12,160 Speaker 2: things and for worshiping demons and false ideologies and idols. 576 00:38:12,520 --> 00:38:15,040 Speaker 2: And so we need to be biblically grounded in how 577 00:38:15,040 --> 00:38:18,440 Speaker 2: we deploy any kind of any technological development that comes 578 00:38:18,480 --> 00:38:19,040 Speaker 2: our way. 579 00:38:21,080 --> 00:38:25,480 Speaker 1: Pastor what advice would you give to believers who they understand? 580 00:38:25,520 --> 00:38:27,439 Speaker 1: I mean, I understand that we live in a world 581 00:38:27,440 --> 00:38:30,759 Speaker 1: where technology is advancing so fast, much faster than my 582 00:38:31,160 --> 00:38:34,520 Speaker 1: gray Beard will ever understand. I understand that it's fine, 583 00:38:34,560 --> 00:38:37,520 Speaker 1: but we can't go live in a cabin in the mountains. 584 00:38:37,520 --> 00:38:38,960 Speaker 1: I don't think we're supposed to go live in a 585 00:38:38,960 --> 00:38:41,200 Speaker 1: cabin in the mountains and hide from it. But we're 586 00:38:41,239 --> 00:38:43,719 Speaker 1: also not supposed to embrace all of it. What do 587 00:38:43,760 --> 00:38:44,680 Speaker 1: you tell your flock? 588 00:38:46,120 --> 00:38:48,120 Speaker 2: Well, I sympathize with my flock a great deal. We're 589 00:38:48,120 --> 00:38:50,200 Speaker 2: at the foothills of the rocky mountains. And I often 590 00:38:50,360 --> 00:38:52,640 Speaker 2: use the same analogy that many men today. They just 591 00:38:52,680 --> 00:38:54,799 Speaker 2: seem to want to retreat from the modern world. They're 592 00:38:54,840 --> 00:38:57,400 Speaker 2: tired of sitting in front of a blue screen and 593 00:38:57,480 --> 00:39:02,280 Speaker 2: pecking on keys for some boss. And so I totally 594 00:39:02,320 --> 00:39:05,840 Speaker 2: sympathize with kind of a reevaluation of modern life. And 595 00:39:05,880 --> 00:39:08,720 Speaker 2: you see this movement with kind of the trad movement, 596 00:39:08,800 --> 00:39:11,759 Speaker 2: people kind of start starting hobby farms or whatever it 597 00:39:11,760 --> 00:39:14,440 Speaker 2: may be. So I totally sympathize with that longing that 598 00:39:14,480 --> 00:39:16,839 Speaker 2: people have for kind of a return to nature, a 599 00:39:16,840 --> 00:39:20,880 Speaker 2: return to simpler times. Where these devices that we have 600 00:39:20,920 --> 00:39:24,240 Speaker 2: in our pockets that promised us endless productivity and leisure 601 00:39:24,680 --> 00:39:27,760 Speaker 2: have only made us busier and more anxious. What's that about? 602 00:39:27,800 --> 00:39:30,040 Speaker 2: And with the rise of AI, people are really starting 603 00:39:30,080 --> 00:39:32,239 Speaker 2: to evaluate me and where's this going to go. We're 604 00:39:32,280 --> 00:39:35,360 Speaker 2: being promised it's going to solve our email problems. For example, 605 00:39:35,400 --> 00:39:37,839 Speaker 2: now it can read your emails and write emails for you. 606 00:39:38,280 --> 00:39:40,440 Speaker 2: But it just seems to increase. There's kind of an 607 00:39:40,480 --> 00:39:44,759 Speaker 2: exponential growth of productivity. And it's really a misunderstanding of 608 00:39:44,800 --> 00:39:47,440 Speaker 2: God's design for people that we aren't just cogs in 609 00:39:47,480 --> 00:39:50,120 Speaker 2: a machine. We aren't just people that are meant meant 610 00:39:50,160 --> 00:39:52,240 Speaker 2: to be productive all the time. We're meant to rest 611 00:39:52,280 --> 00:39:54,000 Speaker 2: one day a week at least, we're meant to sleep. 612 00:39:54,000 --> 00:39:56,840 Speaker 2: We're designed that way. And so this gets into biological stuff. 613 00:39:56,840 --> 00:39:59,760 Speaker 2: A lot of these conversations about AI get into transhumanism 614 00:40:00,080 --> 00:40:04,360 Speaker 2: in biohacking, and all sorts of other interesting development, some 615 00:40:04,400 --> 00:40:07,520 Speaker 2: of which are very you know, apocalyptic in terms of 616 00:40:07,560 --> 00:40:09,960 Speaker 2: their application. But I think I would encourage Christians to 617 00:40:10,000 --> 00:40:13,120 Speaker 2: walk prudently, so remindedly in the light that they would 618 00:40:13,120 --> 00:40:14,839 Speaker 2: saturate their minds with the word of God. There are 619 00:40:14,880 --> 00:40:18,719 Speaker 2: some redeemable qualities about AI where it can be an assistant, 620 00:40:19,360 --> 00:40:23,440 Speaker 2: whether it's in fitness or even in Bible reading, in 621 00:40:23,680 --> 00:40:26,160 Speaker 2: language transcription, all this kind of stuff. But we should 622 00:40:26,239 --> 00:40:28,800 Speaker 2: engage with prudence. Unfortunately, a lot of Christians aren't afforded 623 00:40:28,800 --> 00:40:32,279 Speaker 2: that kind of slow, steady prudence and wisdom applied to 624 00:40:32,320 --> 00:40:35,000 Speaker 2: this technology. They're being kind of forced that's being forced 625 00:40:35,040 --> 00:40:38,480 Speaker 2: on them in the workplace, whether it's creator and culture 626 00:40:38,480 --> 00:40:42,880 Speaker 2: creators or in corporate lawyers and doctors, they're being kind 627 00:40:42,920 --> 00:40:45,240 Speaker 2: of told you have to use AI, which is just weird. 628 00:40:45,440 --> 00:40:45,560 Speaker 3: You know. 629 00:40:45,640 --> 00:40:47,640 Speaker 2: It strikes anyone as weird when they're told they have 630 00:40:47,719 --> 00:40:50,480 Speaker 2: to use some kind of technology. And so I think, 631 00:40:50,640 --> 00:40:53,080 Speaker 2: as much as they can, there kind of should be 632 00:40:53,120 --> 00:40:55,640 Speaker 2: a at least a slow embrace, and no one should 633 00:40:55,680 --> 00:40:59,680 Speaker 2: be forced to embrace AI as a necessary good just 634 00:40:59,719 --> 00:41:02,120 Speaker 2: because it's a new tech development. 635 00:41:04,160 --> 00:41:08,800 Speaker 1: Pastor something that does give me hope is I feel 636 00:41:08,800 --> 00:41:12,719 Speaker 1: like God created us to have this desire for a 637 00:41:12,880 --> 00:41:15,680 Speaker 1: human connection. That even with this we all have our 638 00:41:15,719 --> 00:41:18,640 Speaker 1: smartphone smartphones now and things like that, but I still 639 00:41:18,680 --> 00:41:21,560 Speaker 1: feel like we are created to want to be with 640 00:41:21,719 --> 00:41:24,560 Speaker 1: other people and that humans can feel it now, and 641 00:41:24,600 --> 00:41:27,439 Speaker 1: that at some point in time we're going to say 642 00:41:27,520 --> 00:41:30,480 Speaker 1: no to a world that's run by robots. Am I 643 00:41:30,560 --> 00:41:31,960 Speaker 1: am I off base with that. 644 00:41:33,160 --> 00:41:35,680 Speaker 2: No, you're totally consistent with the biblical design for humans. 645 00:41:35,680 --> 00:41:38,040 Speaker 2: We are made for relational connection with others. We weren't 646 00:41:38,080 --> 00:41:42,480 Speaker 2: made to sit in in tech meetings all across the 647 00:41:42,520 --> 00:41:45,000 Speaker 2: world and never have personal connection. I run my own 648 00:41:45,000 --> 00:41:47,280 Speaker 2: podcast full proof theology. And when I get to interview 649 00:41:47,320 --> 00:41:50,480 Speaker 2: people in person, it's much richer than interviewing people over 650 00:41:50,560 --> 00:41:52,879 Speaker 2: a video. And so we all sense that. In fact, 651 00:41:52,920 --> 00:41:55,440 Speaker 2: in twenty twenty, when everybody was going online church and 652 00:41:55,560 --> 00:41:58,320 Speaker 2: some people were saying, it's the future, it's what everybody's 653 00:41:58,320 --> 00:41:59,960 Speaker 2: going to go to, you saw some people creating these 654 00:42:00,200 --> 00:42:03,400 Speaker 2: virtual churches, and now we're seeing everybody's kind of like 655 00:42:03,480 --> 00:42:05,520 Speaker 2: shirt that aside and be like, actually being in person 656 00:42:05,560 --> 00:42:09,080 Speaker 2: really matters. Being in person in church really matters because 657 00:42:09,120 --> 00:42:12,759 Speaker 2: it's not just an intangible there's something spiritually significant that 658 00:42:12,800 --> 00:42:14,880 Speaker 2: you get when you're with someone else. The way I 659 00:42:14,920 --> 00:42:16,520 Speaker 2: describe it to my church and the way I describe 660 00:42:16,520 --> 00:42:20,120 Speaker 2: to others is that imagine you are married. When you're married, 661 00:42:20,200 --> 00:42:22,200 Speaker 2: you want to be with the person you're married too. 662 00:42:22,320 --> 00:42:23,960 Speaker 2: I want to be with my wife, not just on 663 00:42:24,040 --> 00:42:26,360 Speaker 2: the other side of the world talking with her over zoom. 664 00:42:26,360 --> 00:42:28,800 Speaker 2: I want to be with her in person, holding her hand, 665 00:42:29,239 --> 00:42:32,800 Speaker 2: sensing her presence and catching up on those inflections and 666 00:42:32,840 --> 00:42:34,640 Speaker 2: the body language and all that kind of stuff, and 667 00:42:35,160 --> 00:42:37,360 Speaker 2: hugging her and embracing her. All this that comes with 668 00:42:37,400 --> 00:42:39,960 Speaker 2: a marriage. Nobody wants to be married long distance and 669 00:42:39,960 --> 00:42:43,120 Speaker 2: the same is true for people. All people long for connection. 670 00:42:43,200 --> 00:42:45,640 Speaker 2: We live in an age of isolation and desperation for 671 00:42:45,680 --> 00:42:48,200 Speaker 2: a lot of people. People are hopped up on SSRIs. 672 00:42:48,239 --> 00:42:51,080 Speaker 2: They're incredibly anxious, and we need that personal connection. And 673 00:42:51,080 --> 00:42:53,520 Speaker 2: that is exactly why Jesus came. The Son of God 674 00:42:53,600 --> 00:42:57,640 Speaker 2: came Jesus Christ in fleshed. He became a man, taking 675 00:42:57,680 --> 00:42:59,920 Speaker 2: on all of our sin on the cross and die 676 00:43:00,160 --> 00:43:05,000 Speaker 2: and rising to new life, embodied, real person. Jesus Christ raised, 677 00:43:05,120 --> 00:43:07,799 Speaker 2: took flesh into heaven and will return embodied when he 678 00:43:07,840 --> 00:43:10,400 Speaker 2: comes again. And so this this clues us in to 679 00:43:10,520 --> 00:43:13,720 Speaker 2: God's not only designed for humanity, but how he redeems us. 680 00:43:15,920 --> 00:43:16,200 Speaker 1: Faster. 681 00:43:16,840 --> 00:43:19,279 Speaker 5: Thank you, we needed that. I appreciate you very much. 682 00:43:21,040 --> 00:43:30,520 Speaker 5: All right, final thoughts. Next, I have the perfect Christmas gift. 683 00:43:30,840 --> 00:43:33,200 Speaker 5: I know there are people in your life who are 684 00:43:33,239 --> 00:43:35,520 Speaker 5: hard to shop for and you're spending time on your 685 00:43:35,520 --> 00:43:37,400 Speaker 5: phone and this scrolling through the Should I get him 686 00:43:37,440 --> 00:43:40,279 Speaker 5: a new sweater that maybe some headphones or something like that. 687 00:43:40,840 --> 00:43:44,800 Speaker 1: Believe me, he doesn't want a new sweater. She doesn't 688 00:43:44,920 --> 00:43:51,600 Speaker 1: want new headphones. What she wants are chips, delicious chips 689 00:43:52,000 --> 00:43:55,279 Speaker 1: that she can eat without feeling fat, and that's what 690 00:43:55,360 --> 00:43:58,680 Speaker 1: massive chips are. Massive chips, you see, has three ingredients, 691 00:43:58,719 --> 00:44:03,360 Speaker 1: no seed oils, no answer causing filth, just good chips. 692 00:44:04,000 --> 00:44:07,480 Speaker 1: And they're so delicious. I figured they'd be gross when 693 00:44:07,520 --> 00:44:11,120 Speaker 1: I found out they were ialthy. They're delicious. They've become 694 00:44:11,200 --> 00:44:13,239 Speaker 1: the go to chip for everyone in my house. We 695 00:44:13,280 --> 00:44:16,040 Speaker 1: always have a box showing up at the house from MASSA. 696 00:44:16,280 --> 00:44:19,520 Speaker 1: Do you want to experience this and eat chips guilt free? 697 00:44:19,760 --> 00:44:22,360 Speaker 1: Wrap them up, put a little bow on them. Merry 698 00:44:22,400 --> 00:44:26,359 Speaker 1: Christmas to you and yours. Go to Massive Chips dot com, 699 00:44:26,400 --> 00:44:37,239 Speaker 1: slash jessetv. Do not be afraid. It is okay to 700 00:44:37,320 --> 00:44:41,960 Speaker 1: be apprehensive about new technologies, especially when you hear things 701 00:44:42,040 --> 00:44:44,680 Speaker 1: like ones that are going to turn you into bio 702 00:44:44,680 --> 00:44:48,160 Speaker 1: fuel and take your job and have us all hooked 703 00:44:48,239 --> 00:44:51,799 Speaker 1: up to machines like the Matrix. It's easy to look 704 00:44:51,840 --> 00:44:56,040 Speaker 1: at what's coming and be afraid. I've had my moments 705 00:44:56,040 --> 00:44:59,200 Speaker 1: when it comes to AI where I'm afraid. But let 706 00:44:59,239 --> 00:45:02,640 Speaker 1: me just remind you that human beings have encountered new 707 00:45:02,719 --> 00:45:07,280 Speaker 1: technology that's going to change everything many many many times before, 708 00:45:07,880 --> 00:45:11,520 Speaker 1: and yes, things have changed, things will change. AI will change, 709 00:45:11,880 --> 00:45:14,800 Speaker 1: It will affect your life. It will. I'm not saying otherwise, 710 00:45:15,280 --> 00:45:19,200 Speaker 1: But in the end, I think we're gonna be okay. 711 00:45:19,719 --> 00:45:22,399 Speaker 1: We're gonna ride this horse together. You and I will 712 00:45:22,440 --> 00:45:24,480 Speaker 1: figure it out as we go along, and we'll keep 713 00:45:24,480 --> 00:45:27,920 Speaker 1: bringing as many experts on here so we don't fall behind, 714 00:45:28,000 --> 00:45:31,759 Speaker 1: all right,