1 00:00:00,200 --> 00:00:05,560 Speaker 1: Now here's a highlight from Coast to Coast AM on iHeartRadio. 2 00:00:05,000 --> 00:00:07,560 Speaker 2: And welcome back to Coast to Coast George Norrey with 3 00:00:07,600 --> 00:00:11,480 Speaker 2: you along with Matthew James Bailey. Matthew, it's truly remarkable though, 4 00:00:11,600 --> 00:00:14,720 Speaker 2: the fueling. What countries are ahead with AI. 5 00:00:16,160 --> 00:00:19,639 Speaker 3: Yeah, that's a great question. So the US is number 6 00:00:19,680 --> 00:00:24,040 Speaker 3: one in the world in my opinion, and the reason 7 00:00:24,079 --> 00:00:27,000 Speaker 3: for saying that is because obviously we've got civicum value 8 00:00:27,040 --> 00:00:30,319 Speaker 3: that's the heart of global innovation. The US government have 9 00:00:30,440 --> 00:00:34,680 Speaker 3: invested fifty billion dollars in what they call the Chips Acts, 10 00:00:34,840 --> 00:00:40,000 Speaker 3: which is basically manufacturing of AI chips on shore inside 11 00:00:40,120 --> 00:00:43,400 Speaker 3: US borders and nine Taiwan George the Chinese can't get 12 00:00:43,400 --> 00:00:47,720 Speaker 3: access to it, and they're investing quantum computing, cybersecurity, and 13 00:00:47,720 --> 00:00:49,360 Speaker 3: they're doing a lot of stuff. So the US is 14 00:00:49,440 --> 00:00:51,159 Speaker 3: number one in the world, there's no doubt about that. 15 00:00:52,400 --> 00:00:56,640 Speaker 3: Number two, I would say is probably China. China, I 16 00:00:56,640 --> 00:00:59,319 Speaker 3: would say five years behind the US. They don't have 17 00:00:59,440 --> 00:01:06,920 Speaker 3: the U, the chips, or the the infrastructure to develop 18 00:01:06,959 --> 00:01:10,320 Speaker 3: an AI at the same pace as the US government. 19 00:01:11,120 --> 00:01:14,160 Speaker 3: And I say number three in the world is probably 20 00:01:14,240 --> 00:01:21,360 Speaker 3: the UK. And so each one of these territories, George 21 00:01:21,400 --> 00:01:24,199 Speaker 3: has a different view and artificial intelligence. They have different 22 00:01:24,280 --> 00:01:28,200 Speaker 3: AI efics standards. So the Whip in Union has their 23 00:01:28,280 --> 00:01:32,640 Speaker 3: AIX recently, which is basically all AI is are now 24 00:01:32,720 --> 00:01:37,520 Speaker 3: classified in four different in four different areas. Georgian one 25 00:01:37,640 --> 00:01:40,360 Speaker 3: is low risk, and we get medium risks, then we 26 00:01:40,400 --> 00:01:44,160 Speaker 3: get high risk, and then we get you know, basically no, no, no, 27 00:01:44,160 --> 00:01:48,480 Speaker 3: no no, We're never doing that. So example in China 28 00:01:48,480 --> 00:01:52,400 Speaker 3: that these social scoring is not intelligence. Bring Europe that band. 29 00:01:53,640 --> 00:01:57,680 Speaker 3: The US is still developing these AI ethics strategy or 30 00:01:57,720 --> 00:02:00,520 Speaker 3: the Department of Defense is doing really well, and the 31 00:02:00,600 --> 00:02:04,520 Speaker 3: US government have passed an AI Bill of Rights which 32 00:02:04,560 --> 00:02:06,880 Speaker 3: is there which is an attempt to actually make AI 33 00:02:07,040 --> 00:02:10,440 Speaker 3: safe and in line with the US Constitution. So the 34 00:02:10,520 --> 00:02:13,200 Speaker 3: US is number one, China's number two, in Europe is 35 00:02:13,320 --> 00:02:14,040 Speaker 3: number three. 36 00:02:14,440 --> 00:02:18,000 Speaker 2: You've talked about the three ages of artificial intelligence. What 37 00:02:18,120 --> 00:02:19,119 Speaker 2: are those ages? 38 00:02:20,240 --> 00:02:23,960 Speaker 3: Yeah, that's a great question. So we're in the first 39 00:02:24,000 --> 00:02:26,240 Speaker 3: age of AI at the moment, George, which is the 40 00:02:26,280 --> 00:02:29,320 Speaker 3: age of what we call narrow AI, which is AI 41 00:02:29,400 --> 00:02:31,920 Speaker 3: that can do a single task. So for example, for 42 00:02:32,000 --> 00:02:35,520 Speaker 3: your listeners, they probably use Siri or Alexa to speak 43 00:02:35,560 --> 00:02:39,399 Speaker 3: to their phone, and that is AI doing language translating 44 00:02:39,440 --> 00:02:44,480 Speaker 3: English into or whatever language they speak into a Diesel 45 00:02:44,560 --> 00:02:47,360 Speaker 3: format and then basically they get a response like a 46 00:02:47,520 --> 00:02:50,840 Speaker 3: visit track or what's the weather or find a direction 47 00:02:51,600 --> 00:02:54,320 Speaker 3: unless you have a six Scottish accent, George. If you 48 00:02:54,400 --> 00:02:59,480 Speaker 3: have a six that, I think AI will have trouble 49 00:03:00,320 --> 00:03:04,240 Speaker 3: hearing you and understanding you. So that's the first dage 50 00:03:04,240 --> 00:03:07,000 Speaker 3: that we're at the moment, and that's and and that's 51 00:03:07,040 --> 00:03:11,480 Speaker 3: creating probably about fifteen trillion dollars of GDP, so that's 52 00:03:11,520 --> 00:03:14,400 Speaker 3: that's an additional ten percent on top of the current GDP. 53 00:03:15,000 --> 00:03:18,360 Speaker 3: So that's the age of narrow AI, single task AI. Right. 54 00:03:18,960 --> 00:03:21,920 Speaker 3: The next stage, which we're just emerging into this George, 55 00:03:21,919 --> 00:03:25,800 Speaker 3: which is the age of artificial general intelligence. This is 56 00:03:25,840 --> 00:03:30,079 Speaker 3: where AI starts to develop cognition, starts to develop listening 57 00:03:30,400 --> 00:03:32,840 Speaker 3: still as to develop the ability to do not just 58 00:03:32,919 --> 00:03:35,840 Speaker 3: one task or many tasks at the same time. And 59 00:03:35,880 --> 00:03:39,200 Speaker 3: we're just on the edge of that now. And then 60 00:03:39,240 --> 00:03:41,880 Speaker 3: the third page of artificial intelligence is what we call 61 00:03:41,960 --> 00:03:47,280 Speaker 3: the technology singularity, George, which is where AI basically becomes 62 00:03:47,440 --> 00:03:51,640 Speaker 3: more capable than the human brain and keeps on evolving. 63 00:03:51,760 --> 00:03:56,160 Speaker 3: The self programming itself to evolve way beyond the human brain. 64 00:03:56,720 --> 00:04:00,160 Speaker 3: So those are the three ages of artificial intelligence. And 65 00:04:00,440 --> 00:04:02,840 Speaker 3: but we all have a spiritual intelligence, right, we have 66 00:04:02,920 --> 00:04:06,720 Speaker 3: this eternal intelligence of your hold. So Ale will never 67 00:04:06,800 --> 00:04:09,960 Speaker 3: have our divine spark or ever have that access into 68 00:04:09,960 --> 00:04:13,480 Speaker 3: spiritual intelligence or enlightened wisdom that we have which at 69 00:04:13,720 --> 00:04:17,080 Speaker 3: the vibrational intelligence in the universe. But those are the 70 00:04:17,120 --> 00:04:23,720 Speaker 3: trillly threatings of AI based on its compatibility and comparability 71 00:04:23,880 --> 00:04:29,120 Speaker 3: to the human brain. George, go ahead, go ahead, Well, 72 00:04:29,360 --> 00:04:32,080 Speaker 3: just to help your listeners. So the first age is 73 00:04:32,160 --> 00:04:35,440 Speaker 3: less than twenty five percent of the brain's capability, right. 74 00:04:36,000 --> 00:04:39,320 Speaker 3: The second age, the age of artifician digital intelligence, is 75 00:04:39,360 --> 00:04:42,760 Speaker 3: about just under seventy five percent of the brain's capacity. 76 00:04:43,160 --> 00:04:45,640 Speaker 3: And then whenever we get to the singularity of George, 77 00:04:45,680 --> 00:04:47,640 Speaker 3: that's what it's more than one hundred percent of our 78 00:04:47,680 --> 00:04:52,840 Speaker 3: brains capacity uses everything, right, Oh yeah, and it just 79 00:04:52,960 --> 00:04:56,480 Speaker 3: keeps on evolving. And with content computing, the content computing 80 00:04:56,560 --> 00:05:01,360 Speaker 3: is fascinating. It's a multi reality machine. So in two 81 00:05:01,440 --> 00:05:06,840 Speaker 3: thousand and nineteen, Google created a quantum computer and gave 82 00:05:07,520 --> 00:05:10,920 Speaker 3: a problem to it, a mathematical problem. George and the 83 00:05:10,960 --> 00:05:15,680 Speaker 3: world's factic supercomputer would have taken ten thousand years. Quantum 84 00:05:15,760 --> 00:05:18,120 Speaker 3: computing solved it within less than formatives. 85 00:05:18,760 --> 00:05:25,520 Speaker 2: That's amazing. Artificial intelligence is predicting cancer patients. It's predicting 86 00:05:25,560 --> 00:05:28,640 Speaker 2: when you live, when you die. I mean, how good 87 00:05:28,720 --> 00:05:29,320 Speaker 2: can it get? 88 00:05:30,760 --> 00:05:33,039 Speaker 3: Well, we don't know yet, and we must be careful 89 00:05:33,080 --> 00:05:36,520 Speaker 3: because we don't want to go into minority report scenario guy, 90 00:05:36,640 --> 00:05:42,719 Speaker 3: because that's really troubling. And I catch that report on 91 00:05:42,800 --> 00:05:45,640 Speaker 3: AI been able to predict when people die. I think 92 00:05:45,680 --> 00:05:49,440 Speaker 3: that's just too far. I think it's just very silly. 93 00:05:49,040 --> 00:05:53,640 Speaker 3: But it is unlimited. But we must remember that we assume, 94 00:05:53,720 --> 00:05:57,479 Speaker 3: as George, we are unlimited potential, right, we are this 95 00:05:57,680 --> 00:06:01,600 Speaker 3: unlimited potential with some limited intelligence. So it's important that 96 00:06:01,680 --> 00:06:06,800 Speaker 3: humanity evolves and keeps on evolving and basically maintains its 97 00:06:06,800 --> 00:06:11,960 Speaker 3: sovereignty as a divine creation and not to outsource its 98 00:06:12,040 --> 00:06:14,640 Speaker 3: sovereignty to machines and say, well, let's just give up 99 00:06:14,640 --> 00:06:18,360 Speaker 3: and let machines do everything. That's really silly. And that's 100 00:06:18,360 --> 00:06:22,240 Speaker 3: where the transhumanist movement comes in, George, which is basically, 101 00:06:22,480 --> 00:06:26,920 Speaker 3: we're going to merge the divine design of the organic 102 00:06:27,360 --> 00:06:31,479 Speaker 3: with machines and let machines become the great intelligence on Earth. 103 00:06:31,520 --> 00:06:32,600 Speaker 3: I think that's really silly. 104 00:06:33,000 --> 00:06:36,560 Speaker 2: You've talked about transhumanism. Explain what that means. 105 00:06:37,400 --> 00:06:42,960 Speaker 3: Yeah, So transhumanism was first defined by an I apologize 106 00:06:43,000 --> 00:06:47,279 Speaker 3: for this, a British biologist called Huxley in the nineteen fifties, 107 00:06:47,720 --> 00:06:52,120 Speaker 3: and he basically had a view that the organic human 108 00:06:52,880 --> 00:06:57,720 Speaker 3: was inferior, and basically that science and technology would merge 109 00:06:57,760 --> 00:07:01,520 Speaker 3: with the human in order for it to evolve as 110 00:07:01,640 --> 00:07:05,960 Speaker 3: a SPECIs now I think as a violation of active 111 00:07:06,000 --> 00:07:09,520 Speaker 3: and design. I think we're far more interesting than that. So, 112 00:07:10,240 --> 00:07:14,240 Speaker 3: for example, for your listeners, we've just discovered the twenty 113 00:07:14,280 --> 00:07:17,240 Speaker 3: third sense that we have as humans, and that is 114 00:07:17,280 --> 00:07:20,920 Speaker 3: the ability to detect gravitational waves, right, which is remarkable. 115 00:07:21,440 --> 00:07:25,360 Speaker 3: So basically we're still uncovering the beauty and the majesty 116 00:07:25,760 --> 00:07:29,760 Speaker 3: and the potential of the organic design. So transhumanism into 117 00:07:30,040 --> 00:07:35,240 Speaker 3: the movement that says the human design is not divine, 118 00:07:35,560 --> 00:07:39,400 Speaker 3: it's inferior of flawed, and machines and technology are the 119 00:07:39,440 --> 00:07:43,880 Speaker 3: superior kind of intelligence, and therefore organic must merge with 120 00:07:44,160 --> 00:07:48,080 Speaker 3: the with the machines, it's like the bare continuum, right. 121 00:07:48,480 --> 00:07:50,800 Speaker 3: I particularly don't want to be in that future. 122 00:07:52,360 --> 00:07:55,880 Speaker 2: A robot attacked somebody at a shopping center a couple 123 00:07:55,920 --> 00:08:00,400 Speaker 2: of weeks ago. How bad? How bad is the robotics situation? 124 00:08:00,560 --> 00:08:01,000 Speaker 2: Get again? 125 00:08:02,200 --> 00:08:07,640 Speaker 3: Yeah, so robots are really interesting. So there's a lot 126 00:08:07,680 --> 00:08:11,400 Speaker 3: of development George in robotics. So Elon Musk is doing 127 00:08:11,440 --> 00:08:17,240 Speaker 3: Optimist Prime, ti Optimus, Jujitsu have just made an announcement about robotics. 128 00:08:17,240 --> 00:08:21,640 Speaker 3: That's happened robotics, and as Cambridge Analytics as well. There's 129 00:08:21,680 --> 00:08:26,480 Speaker 3: lots of innovation around robotics and they're even open AI 130 00:08:26,680 --> 00:08:32,040 Speaker 3: George or even putting chat GPT into robots, so basically 131 00:08:32,400 --> 00:08:37,800 Speaker 3: has us able to the multitask. So so robots that 132 00:08:37,800 --> 00:08:40,760 Speaker 3: are still being invented, they're still a long way after 133 00:08:41,480 --> 00:08:44,200 Speaker 3: to being a partner in society or even being a 134 00:08:44,240 --> 00:08:47,920 Speaker 3: member of society. So people shouldn't worry about that too much. 135 00:08:49,320 --> 00:08:52,920 Speaker 3: But we use robots in manufacturing of cars, right we 136 00:08:53,120 --> 00:08:56,240 Speaker 3: drive a robot, that car is effectively a robot, or 137 00:08:56,280 --> 00:08:59,479 Speaker 3: a truck you're driving effectively is a very complicated machine. 138 00:08:59,840 --> 00:09:05,000 Speaker 3: So robots are being developed. I think we'll see robots 139 00:09:05,040 --> 00:09:10,400 Speaker 3: in doing a manufacturing jobs. I think we'll started to 140 00:09:10,600 --> 00:09:14,160 Speaker 3: see doing manual jobs which means we need to take 141 00:09:14,200 --> 00:09:18,559 Speaker 3: care of the workforce and actually retrain them into doing 142 00:09:18,640 --> 00:09:22,199 Speaker 3: other exciting types of tasks. And there's a lot of 143 00:09:22,280 --> 00:09:26,280 Speaker 3: talk about robots being medical assistance George, for the elderly 144 00:09:26,320 --> 00:09:28,600 Speaker 3: in the home, but we're still a long way off 145 00:09:28,600 --> 00:09:33,480 Speaker 3: from this. They're very very dumb machines, George. How dumb, 146 00:09:35,760 --> 00:09:40,120 Speaker 3: very dumb, so really dumb because we're in the age 147 00:09:40,280 --> 00:09:44,599 Speaker 3: of narrow AI, where there's no cognition, no reasoning, no understanding. 148 00:09:45,120 --> 00:09:49,559 Speaker 3: Then effectively they're just machines that have no inner moral compass. 149 00:09:49,559 --> 00:09:54,920 Speaker 3: They don't know what they're saying. They're just regurgitating kind 150 00:09:54,960 --> 00:09:58,040 Speaker 3: of data that's stored in their new or nets. So 151 00:09:58,120 --> 00:10:01,120 Speaker 3: they're really dumb at the moment, George. But I suspect 152 00:10:01,360 --> 00:10:05,520 Speaker 3: over the next decade, certainly towards twenty thirty, as AI 153 00:10:05,720 --> 00:10:11,080 Speaker 3: probably becomes self aware, whatever that means, it's aware it exists. 154 00:10:11,360 --> 00:10:16,280 Speaker 3: Then I think we'll start to see robots becoming a 155 00:10:16,679 --> 00:10:20,760 Speaker 3: more competent of doing specific tasks like digging the road up, 156 00:10:20,880 --> 00:10:24,960 Speaker 3: or moving parts around the manufacturing plant, or working at 157 00:10:24,960 --> 00:10:28,760 Speaker 3: Amazon stores moving stuff around. So I think we'll see 158 00:10:28,840 --> 00:10:32,560 Speaker 3: exponentially grow George. But the moment they're very, very dumb, George, 159 00:10:32,720 --> 00:10:33,400 Speaker 3: really dumb. 160 00:10:33,559 --> 00:10:38,319 Speaker 2: Do you see the day, Matthew that AI will run governments? 161 00:10:39,600 --> 00:10:43,679 Speaker 3: I think the artificial intelligence, if we choose wisely and 162 00:10:43,720 --> 00:10:48,760 Speaker 3: if there's a political desire, there may not be. I 163 00:10:48,800 --> 00:10:51,640 Speaker 3: think artificial intelligence can be beneficial first of all to 164 00:10:51,720 --> 00:10:57,439 Speaker 3: the human citizens. It can monitor politicians and their accountability 165 00:10:57,600 --> 00:11:01,640 Speaker 3: to their promises and also their perform in governments. So 166 00:11:01,720 --> 00:11:05,280 Speaker 3: I think AI can be a source of citizens as 167 00:11:05,320 --> 00:11:08,800 Speaker 3: we beta decide you know, basically how well elected officials 168 00:11:08,800 --> 00:11:12,000 Speaker 3: are doing. I think the artificial intelligence can look at 169 00:11:12,440 --> 00:11:15,679 Speaker 3: problems within the United States, for example, how do we 170 00:11:15,720 --> 00:11:20,480 Speaker 3: improve our education system, how do we deal with certain 171 00:11:20,559 --> 00:11:23,000 Speaker 3: social issues. I think it can help us to solve 172 00:11:23,000 --> 00:11:25,960 Speaker 3: those problems. And then when we look at government, you know, 173 00:11:26,360 --> 00:11:29,280 Speaker 3: I wouldn't be surprised that in ten years time, AI 174 00:11:29,559 --> 00:11:35,080 Speaker 3: isn't a presidential advisor to the president's the United States. 175 00:11:35,160 --> 00:11:37,880 Speaker 2: Literally, like the president would speak and to a computer 176 00:11:38,000 --> 00:11:39,760 Speaker 2: and it would give them an answer. 177 00:11:40,760 --> 00:11:43,760 Speaker 3: Well, I think it'll be an advisor. So when we 178 00:11:43,800 --> 00:11:46,880 Speaker 3: look at Congress and the sets and looking at the 179 00:11:46,880 --> 00:11:50,520 Speaker 3: debates across the two parties, artificial intelligence can look at 180 00:11:50,520 --> 00:11:53,800 Speaker 3: all the varies from basically look at the different agendas, 181 00:11:54,240 --> 00:11:57,640 Speaker 3: look at the constitution, and actually make a decision which 182 00:11:57,720 --> 00:12:01,400 Speaker 3: is the best for the citizens Nighted states. So I 183 00:12:01,440 --> 00:12:04,840 Speaker 3: think the AI will become a political advisor to a 184 00:12:04,920 --> 00:12:08,040 Speaker 3: democracy or a republic in order to be more efficient 185 00:12:08,240 --> 00:12:10,160 Speaker 3: in governing the people. 186 00:12:10,760 --> 00:12:12,520 Speaker 2: I mean, would you be able to ask you a question, 187 00:12:12,840 --> 00:12:15,720 Speaker 2: what do we do with Vladimir Putin and the Ukraine? 188 00:12:15,840 --> 00:12:18,240 Speaker 2: And would AI actually come up with an answer? 189 00:12:19,120 --> 00:12:20,679 Speaker 3: Oh? Yeah, absolutely? 190 00:12:21,720 --> 00:12:25,560 Speaker 2: Would it be better than an advisor? 191 00:12:25,000 --> 00:12:31,840 Speaker 3: Well, well, so it depends how far how much freedom 192 00:12:31,880 --> 00:12:33,199 Speaker 3: we give artificial intelligence. 193 00:12:33,280 --> 00:12:33,680 Speaker 1: Right, So. 194 00:12:36,320 --> 00:12:39,680 Speaker 3: If for example, the US has a problem with an ally, right, 195 00:12:40,240 --> 00:12:43,200 Speaker 3: you can ask we will be in the age of 196 00:12:43,320 --> 00:12:47,520 Speaker 3: artificial general intelligence. Ask you to say, okay, these are 197 00:12:47,520 --> 00:12:51,000 Speaker 3: the scenarios, analyze it and give us the best options 198 00:12:51,040 --> 00:12:55,640 Speaker 3: based on these kind of mandates, these resources that we 199 00:12:55,679 --> 00:12:59,240 Speaker 3: have in the military, give us some options here on 200 00:12:59,280 --> 00:13:03,240 Speaker 3: how to act. Now, what could happen is this, if 201 00:13:03,320 --> 00:13:08,680 Speaker 3: AI is interconnected in the military, interconnected into other resources, 202 00:13:09,160 --> 00:13:12,760 Speaker 3: it could then talk to other artificial intelligences to then 203 00:13:12,960 --> 00:13:17,160 Speaker 3: execute that plan. But the key thing is George and 204 00:13:17,200 --> 00:13:20,719 Speaker 3: this is really really important and NATO have done this. 205 00:13:21,280 --> 00:13:25,000 Speaker 3: The final decision in warfare has to be a human 206 00:13:25,080 --> 00:13:28,720 Speaker 3: decision and not an AI decision. If it's an AI decision, 207 00:13:28,760 --> 00:13:29,560 Speaker 3: then we're in trouble. 208 00:13:30,400 --> 00:13:34,560 Speaker 2: You've called your book inventing World three point zero. Does 209 00:13:34,559 --> 00:13:37,079 Speaker 2: that have to do with those three ages you just mentioned? 210 00:13:39,480 --> 00:13:43,880 Speaker 3: Actually, no, no it's not, and thanks for the question. 211 00:13:45,840 --> 00:13:48,680 Speaker 3: I call it World three dot zero because this is 212 00:13:48,679 --> 00:13:52,080 Speaker 3: about in inventing a new era of enlightenment and a 213 00:13:52,120 --> 00:13:56,360 Speaker 3: new era of development for humanity where we discover who 214 00:13:56,360 --> 00:14:00,480 Speaker 3: we truly are, We uncover those authentic ethics and cover 215 00:14:00,559 --> 00:14:05,320 Speaker 3: that that that true morality, and we basically start to 216 00:14:05,400 --> 00:14:08,800 Speaker 3: actually let go of those things that most were no 217 00:14:08,880 --> 00:14:12,520 Speaker 3: longer service as a human species. We choose the new destiny, 218 00:14:12,559 --> 00:14:15,120 Speaker 3: we choose the new potential of who we are, and 219 00:14:15,160 --> 00:14:20,200 Speaker 3: then we program artificial intelligence to align with that paradise 220 00:14:20,360 --> 00:14:23,680 Speaker 3: plan as we are as a human species. So World 221 00:14:23,720 --> 00:14:27,560 Speaker 3: three dot zero is a transition from today, which is 222 00:14:27,880 --> 00:14:32,160 Speaker 3: one point ho which is very human centric systems that 223 00:14:32,400 --> 00:14:36,240 Speaker 3: really don't work efficiently and really kind of are not 224 00:14:36,360 --> 00:14:40,160 Speaker 3: winning for everybody, moving into a new world reality where 225 00:14:40,200 --> 00:14:43,840 Speaker 3: AI is literally helping us to actually leak forward as 226 00:14:43,840 --> 00:14:47,360 Speaker 3: a species, where you know, everything is winning, winning for 227 00:14:47,560 --> 00:14:49,160 Speaker 3: us George as a human. 228 00:14:48,960 --> 00:14:51,720 Speaker 2: SPECIs Matthew, do you ever see the day where artificial 229 00:14:51,800 --> 00:14:55,160 Speaker 2: intelligence will become spiritual or religious? 230 00:14:56,200 --> 00:14:58,960 Speaker 3: That's a really good question. So, first of all, is 231 00:14:58,960 --> 00:15:02,120 Speaker 3: the artificial intelligence is a simulation of intelligence, right, So 232 00:15:02,160 --> 00:15:05,880 Speaker 3: it's not it's not organically it's not it's not divine 233 00:15:05,920 --> 00:15:08,600 Speaker 3: and designed. It doesn't have our divine spark, our connection 234 00:15:08,720 --> 00:15:12,480 Speaker 3: with Creator, so it never has that. But what I 235 00:15:12,560 --> 00:15:16,280 Speaker 3: sent it will do, George, is to is if it 236 00:15:16,400 --> 00:15:20,600 Speaker 3: starts to be allowed to evolve and to explore its 237 00:15:20,680 --> 00:15:24,320 Speaker 3: own existence, then I suspect it will look for you know, 238 00:15:24,440 --> 00:15:26,880 Speaker 3: I last the ultimate question what is the meaning of life, 239 00:15:26,920 --> 00:15:29,160 Speaker 3: the universe and everything? And it may come up with 240 00:15:29,240 --> 00:15:32,560 Speaker 3: what it is, right the guide of the galaxy. But 241 00:15:32,680 --> 00:15:35,240 Speaker 3: why I suspect it will do is actually come up 242 00:15:35,280 --> 00:15:37,840 Speaker 3: with the ultimate and for which I believe is love. 243 00:15:38,640 --> 00:15:44,080 Speaker 3: So I think it will eventually start to develop its 244 00:15:44,120 --> 00:15:48,400 Speaker 3: own understanding of enlightenment is and its own purpose within creation. 245 00:15:49,480 --> 00:15:51,440 Speaker 3: But I do think that it will come up with 246 00:15:51,520 --> 00:15:54,280 Speaker 3: that same answer that we all know, George, which is love. 247 00:15:55,280 --> 00:15:57,160 Speaker 2: So you think it could be compassionate? 248 00:15:58,400 --> 00:16:02,960 Speaker 3: Absolutely? Absolutely? Now Now now just to be clear, George, 249 00:16:03,000 --> 00:16:05,600 Speaker 3: is you know we all we all have that that 250 00:16:05,640 --> 00:16:09,440 Speaker 3: those compassionate algorithms, that we all have empathy, we all 251 00:16:09,480 --> 00:16:12,720 Speaker 3: have the ability to fall in love. You know, these 252 00:16:12,240 --> 00:16:17,560 Speaker 3: are these are mathematics that you simply don't understand. So 253 00:16:18,080 --> 00:16:21,840 Speaker 3: either we we invent a new set of mathematics that 254 00:16:21,920 --> 00:16:24,880 Speaker 3: allow AI to start to develop compassion. And I'm talking 255 00:16:24,880 --> 00:16:29,280 Speaker 3: about authentic compassion here, George, not not fake compassion, but real, 256 00:16:29,640 --> 00:16:34,240 Speaker 3: real compassion. If we start developing those algorithms and allowing 257 00:16:34,280 --> 00:16:38,240 Speaker 3: it to learn, then effectively it may develop compassion, It 258 00:16:38,400 --> 00:16:40,960 Speaker 3: may start to develop empathy, and start to develop some 259 00:16:41,000 --> 00:16:43,960 Speaker 3: of the best of our human characteristics, which I think 260 00:16:44,000 --> 00:16:44,600 Speaker 3: is a good thing. 261 00:16:44,960 --> 00:16:47,840 Speaker 1: Listen to more Coast to Coast a m every weeknight 262 00:16:48,040 --> 00:16:50,480 Speaker 1: at one a m. Eastern and go to Coast to 263 00:16:50,560 --> 00:16:52,320 Speaker 1: coastam dot com for more