1 00:00:01,360 --> 00:00:03,640 Speaker 1: This episode is brought to you by P and C Bank. 2 00:00:04,000 --> 00:00:06,760 Speaker 1: A lot of people think podcasts about work are boring, 3 00:00:07,000 --> 00:00:10,840 Speaker 1: and sure they definitely can be, but understanding a professionals 4 00:00:10,920 --> 00:00:14,160 Speaker 1: routine shows us how they achieve their success little by little, 5 00:00:14,560 --> 00:00:18,200 Speaker 1: day after day. It's like banking with P and C Bank. 6 00:00:18,680 --> 00:00:21,480 Speaker 1: It might seem boring to safe plan and make calculated 7 00:00:21,480 --> 00:00:24,599 Speaker 1: decisions with your bank, but keeping your money boring is 8 00:00:24,640 --> 00:00:27,960 Speaker 1: what helps you live or more happily fulfilled life. P 9 00:00:28,080 --> 00:00:32,879 Speaker 1: and C Bank Brilliantly Boring since eighteen sixty five. 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The conversation is starting to shift 32 00:01:52,840 --> 00:01:55,080 Speaker 1: a little bit as people becoming more aware with AI, 33 00:01:55,320 --> 00:01:57,760 Speaker 1: and it's going into the world of robotics. Like you 34 00:01:57,880 --> 00:02:01,760 Speaker 1: just talked about large language models machine learning, but robotics 35 00:02:01,800 --> 00:02:04,400 Speaker 1: is kind of picking up steam around conversations. We saw 36 00:02:04,440 --> 00:02:08,040 Speaker 1: what happened with Tesla. Open AI has now created a 37 00:02:08,120 --> 00:02:11,880 Speaker 1: humanoid that has come into inside the BMW plant and 38 00:02:11,919 --> 00:02:15,640 Speaker 1: it's taking some jobs. How fast and how abruptly do 39 00:02:15,720 --> 00:02:19,920 Speaker 1: you think humanoid or human robot? Well, the humanoid robot 40 00:02:20,240 --> 00:02:25,800 Speaker 1: will be implemented and how I shouldn't say afraid, but 41 00:02:25,880 --> 00:02:28,799 Speaker 1: how aware should we be that this is the next 42 00:02:28,840 --> 00:02:29,560 Speaker 1: evolution of it. 43 00:02:30,880 --> 00:02:33,360 Speaker 2: Well, you know, Elon Musk wants that to be his 44 00:02:33,560 --> 00:02:37,440 Speaker 2: next you know, trillion dollar business right now. And the 45 00:02:37,520 --> 00:02:42,919 Speaker 2: thing about the humanoid robots is the technology is already here. 46 00:02:43,400 --> 00:02:46,880 Speaker 2: I think the process of adaptation is getting people to 47 00:02:47,919 --> 00:02:51,120 Speaker 2: a point of normalcy with them, right you know, of course, 48 00:02:51,280 --> 00:02:53,440 Speaker 2: you know, knocking out all of the bugs and the 49 00:02:53,520 --> 00:02:56,440 Speaker 2: tinkering issues that's going to come along with you know, 50 00:02:56,520 --> 00:03:00,640 Speaker 2: adopting robots in these environments. But we really looking at 51 00:03:00,639 --> 00:03:04,000 Speaker 2: the next two to three years right for the rolling 52 00:03:04,120 --> 00:03:07,000 Speaker 2: out of it and seeing how people respond and then 53 00:03:07,120 --> 00:03:10,240 Speaker 2: the regulations that's going to come along with it. I 54 00:03:10,240 --> 00:03:12,080 Speaker 2: think one of the bigger things when it comes to 55 00:03:12,080 --> 00:03:14,320 Speaker 2: the robot, when it comes to AI period, is looking 56 00:03:14,360 --> 00:03:16,920 Speaker 2: at regulation and how it's going to hurt small businesses 57 00:03:17,480 --> 00:03:20,720 Speaker 2: because the people that the government is calling on to 58 00:03:20,800 --> 00:03:23,440 Speaker 2: do the regulations is going to be the open AI 59 00:03:23,520 --> 00:03:26,119 Speaker 2: is going to be the Microsoft, going to be these 60 00:03:26,200 --> 00:03:29,840 Speaker 2: large companies that are building out these large language models 61 00:03:30,200 --> 00:03:33,360 Speaker 2: and these large AI models, and they've already trained it 62 00:03:33,440 --> 00:03:35,720 Speaker 2: on your data, they trained it on YouTube data, they 63 00:03:35,760 --> 00:03:38,080 Speaker 2: trained it on all this data and then they're going 64 00:03:38,080 --> 00:03:42,080 Speaker 2: to regulate it so that the average engineer coder can 65 00:03:42,360 --> 00:03:45,080 Speaker 2: then go do the same thing, so that they won't 66 00:03:45,120 --> 00:03:48,640 Speaker 2: be able to compete. So as we go into robots, yes, 67 00:03:48,680 --> 00:03:51,320 Speaker 2: the robots are going to come and take mundane tasks 68 00:03:51,320 --> 00:03:55,400 Speaker 2: oriented jobs, right, and quite frankly, in a lot of 69 00:03:55,440 --> 00:03:59,280 Speaker 2: different situations they should. I think humans need to augment 70 00:03:59,360 --> 00:04:02,560 Speaker 2: themselves and get deeper into what it means to be human. 71 00:04:03,560 --> 00:04:05,120 Speaker 2: But in some of these things is going to get 72 00:04:05,160 --> 00:04:08,080 Speaker 2: dystopian because they don't really care about people. It's a 73 00:04:08,120 --> 00:04:10,680 Speaker 2: profit based system. They're going to be doing a lot 74 00:04:10,760 --> 00:04:14,640 Speaker 2: of factory work, right, They're going to be doing a 75 00:04:14,680 --> 00:04:19,520 Speaker 2: lot of low paying job work. And you know, Donald 76 00:04:19,560 --> 00:04:22,280 Speaker 2: Trump called it black and Hispanic jobs. You know what 77 00:04:22,279 --> 00:04:24,599 Speaker 2: I'm saying, The robots are going to be the ones 78 00:04:24,680 --> 00:04:27,559 Speaker 2: come and taking those black and Hispanic jobs. The AI 79 00:04:27,680 --> 00:04:29,200 Speaker 2: is going to be the one come and taking those 80 00:04:29,240 --> 00:04:32,960 Speaker 2: black and Hispanic jobs. So you ain't got to ware 81 00:04:33,000 --> 00:04:36,160 Speaker 2: about no immigrant to anything else, you feel me. The 82 00:04:36,560 --> 00:04:40,440 Speaker 2: thing that you should be focused oning is how do 83 00:04:40,520 --> 00:04:45,000 Speaker 2: you prepare yourself in a future where AI and robots 84 00:04:45,040 --> 00:04:49,760 Speaker 2: and quantum computers exist? Because focusing on slowing it down 85 00:04:50,400 --> 00:04:54,320 Speaker 2: is not going to change anything. Focusing on preparing for 86 00:04:54,360 --> 00:04:58,440 Speaker 2: it right, developing the skills, thinking about the new businesses, 87 00:04:58,520 --> 00:05:01,800 Speaker 2: the new services that will be needed in that future. 88 00:05:01,880 --> 00:05:05,080 Speaker 2: Humans will always be needed, right, We don't even want 89 00:05:05,120 --> 00:05:07,680 Speaker 2: the future to wear it's a complete matrix and machines 90 00:05:07,720 --> 00:05:10,960 Speaker 2: running everything. Humans will always be needed. I think that's 91 00:05:10,960 --> 00:05:13,640 Speaker 2: the thing that we need to focus on. But yes, 92 00:05:14,760 --> 00:05:19,680 Speaker 2: robots are here, right, And for me, thinking about the 93 00:05:19,720 --> 00:05:23,320 Speaker 2: future is only prepared for it. It's not being scared 94 00:05:23,360 --> 00:05:26,440 Speaker 2: of it. It's not having this fearful idea of it. 95 00:05:26,839 --> 00:05:29,040 Speaker 2: None of that. We have to decolonize our minds of 96 00:05:29,120 --> 00:05:31,000 Speaker 2: the future and asks ourselves what do we want it 97 00:05:31,000 --> 00:05:34,279 Speaker 2: to be, because then we also determine the future by 98 00:05:34,320 --> 00:05:37,920 Speaker 2: planning for it. So how would we use robots is 99 00:05:38,000 --> 00:05:38,440 Speaker 2: the question? 100 00:05:39,240 --> 00:05:39,480 Speaker 3: Right? 101 00:05:40,520 --> 00:05:43,680 Speaker 2: What value could they bring to us? And I'm not 102 00:05:43,839 --> 00:05:47,599 Speaker 2: in a deep necessity for robots because I think that 103 00:05:47,680 --> 00:05:50,880 Speaker 2: the task that robots do are you know, very factory 104 00:05:50,920 --> 00:05:53,000 Speaker 2: and they're going to be super expensive. So the average 105 00:05:53,000 --> 00:05:55,840 Speaker 2: person is not going to be using those type of robots. 106 00:05:55,920 --> 00:05:58,479 Speaker 2: Average person's going to be using home robots. And I 107 00:05:58,480 --> 00:06:00,720 Speaker 2: looked at the CS show and looking at the ones 108 00:06:00,760 --> 00:06:03,840 Speaker 2: that they're rolling out. They're talking about simple tasks within 109 00:06:03,920 --> 00:06:05,560 Speaker 2: the home that people are going to be using the 110 00:06:05,640 --> 00:06:09,400 Speaker 2: robots for. People are going to be using companion robots 111 00:06:09,520 --> 00:06:13,240 Speaker 2: right for loneliness. That's happening with people today, and I 112 00:06:13,279 --> 00:06:15,359 Speaker 2: think that's probably going to be one of the biggest 113 00:06:15,440 --> 00:06:18,520 Speaker 2: use cases for the average person because loneliness is on 114 00:06:18,560 --> 00:06:20,680 Speaker 2: the rise. The average mail out here is lonely. They 115 00:06:20,680 --> 00:06:24,560 Speaker 2: ain't got nobody, right, and so you know, I see 116 00:06:24,680 --> 00:06:28,880 Speaker 2: people becoming friends with robots and building companionship and that 117 00:06:29,080 --> 00:06:36,000 Speaker 2: being one of the biggest retail aspects of the robot industry. 118 00:06:37,200 --> 00:06:39,680 Speaker 4: That's a fact. We'll bring Ian up for a question. 119 00:06:39,720 --> 00:06:42,280 Speaker 4: But while we bring waiting for Ian. You know, it's 120 00:06:42,320 --> 00:06:44,200 Speaker 4: crazy you say that becausehen We we was in Davos. 121 00:06:44,720 --> 00:06:48,160 Speaker 4: They had this guy who dropped out of Harvard and 122 00:06:48,240 --> 00:06:53,680 Speaker 4: he created an uh an app for companionship AI companionship 123 00:06:54,120 --> 00:06:57,200 Speaker 4: and he received raised a bunch of money in his 124 00:06:57,279 --> 00:07:00,000 Speaker 4: seed round and that was the whole purpose of it 125 00:06:59,680 --> 00:07:01,840 Speaker 4: is as far as being a companion he kind of 126 00:07:01,839 --> 00:07:06,560 Speaker 4: explained why AI companionship was needed, and it was so yeah, 127 00:07:06,560 --> 00:07:08,280 Speaker 4: no matter how you feel about it, that's something that's real. 128 00:07:08,360 --> 00:07:11,120 Speaker 4: But Ian you did, and. 129 00:07:11,200 --> 00:07:14,120 Speaker 3: They got our only fans Ai companion app already. Yeah. 130 00:07:14,800 --> 00:07:17,160 Speaker 1: I think it's called uh. I think it's called slow. 131 00:07:17,440 --> 00:07:18,920 Speaker 1: I wrote it down in my notes when I saw it. 132 00:07:18,920 --> 00:07:21,200 Speaker 1: I said, I'm gonna remember this one. But it's spelled 133 00:07:21,200 --> 00:07:23,080 Speaker 1: with an X so x O U L. 134 00:07:26,920 --> 00:07:33,600 Speaker 3: It's on you man, keys, my brother, how are you? 135 00:07:33,680 --> 00:07:36,320 Speaker 3: I wish I could uh, you know my action was 136 00:07:36,320 --> 00:07:39,560 Speaker 3: a little bit better. Man, Good to have you here. 137 00:07:39,600 --> 00:07:43,960 Speaker 3: But but I do think automation, of course is needed. 138 00:07:44,000 --> 00:07:46,200 Speaker 3: We talked about this before, maybe two or three years ago, 139 00:07:47,480 --> 00:07:49,000 Speaker 3: and like you said, I don't think we need to fear. 140 00:07:49,080 --> 00:07:50,560 Speaker 3: We need to find out where to use it because 141 00:07:50,600 --> 00:07:54,600 Speaker 3: the truth is that these software and systems and hardware, 142 00:07:54,600 --> 00:07:57,760 Speaker 3: they're going to be here regardless, and there are going 143 00:07:57,800 --> 00:08:00,120 Speaker 3: to be the next sectors that really dominate the mark. 144 00:08:01,200 --> 00:08:02,880 Speaker 3: I don't know what a open Ai would be worth 145 00:08:02,920 --> 00:08:05,760 Speaker 3: when it goes public, but it will easily enter that 146 00:08:05,840 --> 00:08:08,240 Speaker 3: top ten, top eleven. So we just have to find 147 00:08:08,240 --> 00:08:09,680 Speaker 3: a way to be able to use it and integrated, 148 00:08:09,720 --> 00:08:11,800 Speaker 3: because they're going to make sure that that technology is 149 00:08:11,840 --> 00:08:13,720 Speaker 3: here in our lives the same way that the iPhone 150 00:08:13,760 --> 00:08:16,760 Speaker 3: came in in two thousand seven eight nine and dominated 151 00:08:16,800 --> 00:08:17,560 Speaker 3: our lives from there. 152 00:08:19,600 --> 00:08:20,160 Speaker 4: That's a fact. 153 00:08:20,360 --> 00:08:24,040 Speaker 5: An illegal alien from Guatemala charged with raping a child 154 00:08:24,040 --> 00:08:27,840 Speaker 5: in Massachusetts. An MS thirteen gang member from Al Salvador 155 00:08:28,120 --> 00:08:32,240 Speaker 5: accused of murdering a Texas man of Venezuelan charged with 156 00:08:32,320 --> 00:08:36,200 Speaker 5: filming and selling child pornography in Michigan. These are just 157 00:08:36,280 --> 00:08:40,080 Speaker 5: some of the heinous migrant criminals caught because of President 158 00:08:40,080 --> 00:08:43,640 Speaker 5: Donald J. Trump's leadership. I'm Christy Noman, the United States 159 00:08:43,679 --> 00:08:48,480 Speaker 5: Secretary of Homeland Security. Under President Trump, attempted illegal border 160 00:08:48,520 --> 00:08:52,080 Speaker 5: crossings are at the lowest levels ever recorded, and over 161 00:08:52,120 --> 00:08:55,360 Speaker 5: one hundred thousand illegal aliens have been arrested. If you 162 00:08:55,440 --> 00:08:59,280 Speaker 5: were here illegally, your next you will be fine nearly 163 00:08:59,360 --> 00:09:03,400 Speaker 5: one thousand dollars a day, imprisoned and deported, you will 164 00:09:03,400 --> 00:09:07,040 Speaker 5: never return. But if you register using our CBP home 165 00:09:07,120 --> 00:09:10,480 Speaker 5: app and leave now, you could be allowed to return legally. 166 00:09:10,840 --> 00:09:15,600 Speaker 5: Do what's right. Leave now. Under President Trump, America's laws, 167 00:09:15,760 --> 00:09:19,160 Speaker 5: border and families will be protected. Sponsored by the United 168 00:09:19,200 --> 00:09:20,439 Speaker 5: States Department of Homeland Security,