رونوشت کامل We Got Scammed!

that didn't work. 00:05:12.398 --> 00:05:29.338 So you know, it's like we can entertain those those, those possibilities, but what, what, what am I going to do about, how is that going to affect me on a day-to-day being able to support what I'm doing to try to meet me, meet my goals and provide value that I can? 00:05:29.358 --> 00:05:34.038 Well it's, it sounds like we'd be standing on principles right like if I say hey I don't want bad things to happen. 00:05:34.057 --> 00:05:39.538 I don't want the workforce to dissolve because technology replaces things. 00:05:39.557 --> 00:05:48.838 I don't want, you know, world war four to, you know, take, like, I don't want to make the problem worse, so I won't use it. 00:05:48.858 --> 00:05:59.598 Well, if that doesn't work, and it's still being developed, and it's still being adopted, what does that do for, for my life's journey, right? 00:05:59.617 --> 00:06:10.398 Like, I'm, I mean, I think we're all trying to, live a fulfilling life and navigate, you know, providing or, or you know, getting the most out of our journey. 00:06:10.418 --> 00:06:14.398 So if I don't use the technology, and I just say, listen, that's a great point. 00:06:14.418 --> 00:06:16.538 Let's shut it down today. 00:06:16.557 --> 00:06:20.358 Where does that leave me if it doesn't work? 00:06:21.778 --> 00:06:25.257 Like, how how, how am I marketable in the in the workforce? 00:06:25.278 --> 00:06:26.617 How am I? 00:06:26.637 --> 00:06:29.968 Like, how is that really a viable option? 00:06:30.728 --> 00:06:58.247 - Yeah, I don't know, I don't, I kind of- If come, I've worked through this myself and the, I keep coming to the realization, at least for for me, that I am more likely to Help avoid that future by being involved with the technology and being involved with creating value in the world and help shaping the conversation and the direction as best as I can, rather than not, because I'm able to do more with it. 00:06:58.267 --> 00:07:10.588 And and to the extent that my you know, 30 bucks a month to Grok is going to be the thing that, you know, even if, even if everybody who's spending $30 a month on their subscription stops paying their subscription. 00:07:10.608 --> 00:07:14.987 There are companies paying billions of dollars. 00:07:15.007 --> 00:07:16.668 - Trillions, I mean, right? 00:07:15.007 --> 00:07:18.958 - And- Like we're headed towards trillions. 00:07:16.687 --> 00:07:26.117 - I mean, yeah, and and then and then and then just the the widespread. I think the time to maybe shut it down would have been a couple years ago. 00:07:26.237 --> 00:07:29.298 But that would have taken worldwide coordination. 00:07:29.317 --> 00:07:31.718 And so you know, and I don't know enough about all that. 00:07:31.737 --> 00:07:39.237 But what I do know, and what it feels to me is because I think these conversations are going to be we're talking about rate of adoption. 00:07:39.257 --> 00:07:48.117 And they're and and we're also talking about what's being spoon-fed to us in a fear, fear mongering. 00:07:48.838 --> 00:07:49.517 You call it mongering. 00:07:49.538 --> 00:07:50.398 Maybe there's some truth to it. 00:07:50.418 --> 00:07:51.877 There probably is. 00:07:51.898 --> 00:07:59.447 - But then I think it's really easy to generate,- Well, there has to be, I'm sorry, but there has to be some truth- to these outcomes being real viable- Has to be. 00:07:59.468 --> 00:08:01.908 - There has to be, right? 00:07:59.468 --> 00:08:10.367 - options because the people that are developing this are saying, hey, this could really happen so to our our you know our, our listeners comments, like I, I get it, right? 00:08:10.387 --> 00:08:15.887 Like let, if we know this can happen, then why are we perpetuating it by engaging with it? 00:08:15.908 --> 00:08:19.807 But I don't see not engaging with it as as a viable alternative. 00:08:19.827 --> 00:08:33.488 And I feel like, you know, unless we unless we have case studies of of examples that say, hey, this, you know, standing on this principle, and, and not getting into action is the way we solve for this, then I know let's explore it. 00:08:33.508 --> 00:08:35.827 Like, I'm, I'm, I'm all for some examples. 00:08:35.847 --> 00:08:40.727 But I would like to just say to that listener and anybody else who kind of subscribes to that. 00:08:40.748 --> 00:08:42.028 Like I I hear you. 00:08:42.048 --> 00:09:19.988 Like whatever it takes for us to be to to find our way through this, you know we we don't like we're all for we I'd like to extend the invitation that in the event six months passes, right two years past six years pass if if you have a change in perspective and get to a place where you want to try to find the optimism and the advantages that we as a society and individuals can gain from exploring the AI and tech as it evolves. 00:09:20.008 --> 00:09:20.528 We're here. 00:09:20.548 --> 00:09:22.788 We hope to be here. 00:09:23.488 --> 00:09:28.427 I think the message that we're trying to carry and what we're trying to do here is for everybody. 00:09:28.447 --> 00:09:38.508 And so you may not agree now that it's a good time to adopt and learn, but if that ever becomes, you know, something that you're you're exploring, we certainly hope you come back our way. 00:09:39.008 --> 00:09:39.748 and vice versa. 00:09:39.768 --> 00:09:51.447 And this is something that I've been trying to kind of hold more and more as we go into this unknown world and try to stay nimble and adaptive myself is, you know, I feel really comfortable. 00:09:51.467 --> 00:10:01.447 You said this in the last episode, we're learning out loud and to learn out loud means you put things out into the world and also be willing to adjust your opinion later. 00:10:01.467 --> 00:10:04.207 And maybe even in the same conversation, I think that's healthy. 00:10:04.227 --> 00:10:12.327 I think we should be able to say, hey, this is how I'm seeing it today that might shift tomorrow, might

shift next week, might shift five years from now. 00:10:12.347 --> 00:10:19.947 You know, right now I see two pathway, I see a pathway of kind of doom and in that pathway, what I do doesn't matter. 00:10:19.967 --> 00:10:28.847 And so I choose to focus on the pathway that where what I what I do can matter and I try to be as optimistic as I can. 00:10:28.871 --> 00:10:40.849 And it's going to be a monthly yearly thing as as you know assuming we go we don't go to doomsday pathway anytime soon, is right now it's adoption of of AI, large language models and agents. 00:10:40.869 --> 00:10:49.448 It's probably in a couple years we're going to forget about like the hot topic of the day won't be AI and agents, it'll be robots and flying cars. 00:10:49.469 --> 00:10:54.808 I mean, these things are like the the fear is going to continue to be just put onto something different. 00:10:54.828 --> 00:11:01.489 And and so I don't think this conversation is going to go away of, of, of people having that perspective. 00:11:01.509 --> 00:11:13.568 And it takes a lot to look at that possibility and hear what we're hearing from the insiders and say, how how can I show up in the best way possible and try to try to stay hopeful. 00:11:13.589 --> 00:11:19.729 And open-minded, I think, is a good segue into our listener question for for the day of, or of the week. 00:11:20.149 --> 00:11:24.989 This is a timely because of Thanksgiving's right around the corner. 00:11:25.068 --> 00:11:29.568 So the question is, I know my uncle will bring up something about AI that will cause problems at the dinner table. 00:11:29.589 --> 00:11:31.208 How should I handle this? 00:11:31.428 --> 00:11:39.188 You ever have any family conflict at the dinner table on- Thanksgiving, David? 00:11:34.989 --> 00:11:39.188 - well, yeah, I know me? 00:11:39.208 --> 00:11:52.958 I've Listen, sometimes, you know depending on who and where I'm at for the holiday, I might thrive off of conflict and, you know, throw some slop grenades right across the the turkey and potatoes. 00:11:52.999 --> 00:11:55.249 - Seen you do it. 00:11:52.999 --> 00:11:58.489 - So yeah, you have,- just for the sake of just for the sake of- I think I've engaged with you. 00:11:58.509 --> 00:12:13.928 of entertainment and devil's advocate, you know, I I like to challenge my way of thought and and I I, you know, sadly, I I think I I can learn that way, you know, from from listening to the the opposition of of my perspective. 00:12:13.948 --> 00:12:29.828 So, you know, on one hand, if if if if we're not going to ruin the dinner and people there are comfortable having a, you know, challenging conversation conversation and like, have fun with it, right? 00:12:29.849 --> 00:12:32.769 Like, it's not like, it's not like it's not everywhere. 00:12:32.788 --> 00:12:37.869 I don't think it's it's it's it's it's not avoidable, right? 00:12:38.028 --> 00:12:46.568 However, if it falls in the category of, you know, like politics or religion or

other things that are not supposed to happen, then ban it, like, don't get into it with uncle. 00:12:46.589 --> 00:13:01.849 This isn't the time to do that it's it's the time for us to gather and be grateful and I think you know we got plenty to be grateful for Yeah, and I think I think, I mean, this is going to come, this I'm sure this is going to come up at a lot of Thanksgiving tables. 00:13:01.889 --> 00:13:04.188 It's right after the midterms I'm sure the politics are going to come up. 00:13:04.208 --> 00:13:06.229 There's gonna be a lot of different things as always. 00:13:06.249 --> 00:13:14.269 They're going to get brought up around the Thanksgiving dinner table, or the living room or wherever it is, however you choose to partake. 00:13:14.288 --> 00:13:27.928 And I think one of the things is, for you, it's as an individual or as a family, you can kind of say what is our norms around this for this day, and what's topics that we allow and what are topics we don't allow. 00:13:27.948 --> 00:13:38.469 But then at an individual level, if you're open to it, you're, like, hey, I'm, kind of excited to talk to my uncle about it, then you know, maybe try to, you know, kind of take it, take him off to the side and have a conversation privately. 00:13:38.489 --> 00:13:43.249 So it doesn't impact the, you know, enjoyment of the other people who maybe aren't don't want to have that. 00:13:43.269 --> 00:13:49.448 And for me, it kind of comes down to, you know, acceptance of or can you accept that your uncle's going to bring this up at the dinner table? 00:13:49.469 --> 00:13:54.869 And, and if so, you know, you know, then how what does that mean for for you and your family? 00:13:54.889 --> 00:13:57.729 If you can't accept that, then you have to ask what does that mean? 00:13:57.749 --> 00:13:59.828 What do you do in it proactively? 00:13:59.849 --> 00:14:25.298 - And in the moment to, to address that. So I,- Yeah, I totally agree, right? Acceptance is the answer, right? We don't, we all can't think alike we're not you know whether we're talking about open source in the coding or we're talking about you know OpenAI as the platform at the end of the day at the risk of sounding redundant just be open to keep an open mind. 00:14:25.318 --> 00:14:28.119 And part of that means we shut the conversation down, right? 00:14:28.139 --> 00:14:29.999 Like, hey, let's, let's have this conversation. 00:14:30.019 --> 00:14:30.912 Let's not have it here. 00:14:32.091 --> 00:14:41.510 Let's transition into some of that scary news that that might lead you to think the world's ending or we're going we're driving this train off a cliff. 00:14:41.931 --> 00:14:44.811 Believe it or not scams are at all-time highs. 00:14:44.831 --> 00:15:04.870 Remember when you used to be able to spot a scam because the email was full of typos or it had some sort of like long, you know, fake email address or the voice on the phone was sounded a little bit off or maybe robotic or you know you know maybe from a call you could hear a call center in the background of people chatting and making calls. 00:15:04.890 --> 00:15:07.650 Those days seemingly are over. 00:15:07.671 --> 00:15:11.951 We have two stories this week, one from the BBC and one right from the FBI. 00:15:11.971 --> 00:15:16.431 Both of them are saying the same thing that AI has made scams a lot more convincing. 00:15:16.451 --> 00:15:22.931 There's fake online stores, there's fake romances, there's fake family members calling for help. 00:15:22.951 --> 00:15:35.551 And in one of the reports they are even saying that there are fake campaigns from the midterms that are calling you asking for money or soliciting donations to support your favorite candidate in fake campaigning. 00:15:35.750 --> 00:15:46.850 So AI is kind of taking away some of these old warning signs that were still catching people and kind of trapping people in their scam, but now it's even more so. 00:15:46.870 --> 00:15:52.291 And scam messages now are reading a little bit more fluidly in the voices and the faces. 00:15:52.451 --> 00:16:01.910 If you're hopping on a Zoom call, there are now digital and, you know, recreations of people that you know with the same voice. 00:16:02.270 --> 00:16:12.870 And, you know, what would you do if your son or daughter or your mom, or your grandma or your sister called you asking for money and it sounded exactly like them. 00:16:12.910 --> 00:16:15.730 That's something that a lot of people are going to get trapped by. 00:16:15.750 --> 00:16:19.850 And so, you know, just a quick statistic. 00:16:20.010 --> 00:16:25.650 Americans have reported nearly $21 billion in online crime losses in 2025. 00:16:25.671 --> 00:16:29.471 That's up 26% from 2024. 00:16:29.490 --> 00:16:32.711 According to the FBI's 2025, internet crime report. 00:16:32.730 --> 00:16:39.370 So David, I'm just kind of curious, you know, kind of your thoughts on this, how do we how do we kind of make sense of this? 00:16:39.390 --> 00:16:42.890 And where do we have some, some choice in action? 00:16:42.971 --> 00:16:44.711 What are the strategies around this? 00:16:44.730 --> 00:16:47.691 Because it seems like it's probably only going to get worse. 00:16:49.561 --> 00:16:51.841 yeah, right. 00:16:51.860 --> 00:16:54.620 It it's gonna get worse. 00:16:54.821 --> 00:16:55.421 I agree. 00:16:55.441 --> 00:17:01.561 There's there's things that it's too hard to differentiate like, well what am I am I watching this real or not real? 00:17:01.581 --> 00:17:03.181 Like, what's what's happening here? 00:17:03.201 --> 00:17:10.441 But I think, you know, we all have a certain responsibility to do our diligence, right to protect ourselves. 00:17:10.461 --> 00:17:46.280 And I don't think that scamming is anything new I think the tools that are being used as you just so eloquently pointed out from you know these articles is that yeah the tools are becoming more sophisticated but my my my Spidey senses still need to be

developed and so you know there's there's a couple of ways I always try to find what I can do and for the record I've been a victim of digital scam before sadly to the tune of like I don't know, 2,500 bucks, 2,900 bucks on a, on a like a property rental place for a vacation. 00:17:46.300 --> 00:17:50.300 It was, and I knew the minute, I like, really, I can't believe I just did that. 00:17:50.320 --> 00:17:53.580 And I ran to the bank and they're like, well, dude, what'd you think was going to happen? 00:17:53.721 --> 00:18:14.121 So I speak very humbly to say that, you know, yeah, I I know what it's like to, and when that happens, we have to raise our our awareness and we have to be really diligent on how we, and ultimately the scam happens when we when we separate ourselves from our funds, right? 00:18:14.141 --> 00:18:16.401 This is a money transaction that we're talking about. 00:18:16.421 --> 00:18:23.681 If we want to separate that and have a different conversation about the voting aspect, I think those are two different conversations, right? 00:18:23.701 --> 00:18:30.421 Because if we're talking about politics, like so there's deep fakes now, like politicians lie. 00:18:30.441 --> 00:18:34.300 I don't believe every campaign message even when it's from the person delivering it. 00:18:34.320 --> 00:18:35.421 Maybe that's just me. 00:18:35.441 --> 00:18:36.361 People lie, right? 00:18:36.381 --> 00:18:38.661 We teach our kids, stop lying, and then they lie. 00:18:38.681 --> 00:18:39.300 I don't know. 00:18:39.320 --> 00:18:42.740 Maybe you've got kids that, you know, other people have kids that never lie, but kids lie. 00:18:42.760 --> 00:18:43.540 People lie. 00:18:43.560 --> 00:18:44.580 People lie. 00:18:44.601 --> 00:18:45.560 Politicians lie. 00:18:45.580 --> 00:18:46.641 Criminals lie. 00:18:46.661 --> 00:18:47.961 It's nothing new. 00:18:47.980 --> 00:18:51.221 It's just more convincing, and it's harder to detect the lie. 00:18:51.240 --> 00:18:53.701 So that just tells me, well, what can I do about it, right? 00:18:53.721 --> 00:19:01.201 As we try to focus on what's our part and stuff, well, we can, like, I like based upon my experience, I already don't believe anybody, ever. 00:19:01.221 --> 00:19:16.830 So I have to continue to sharpen my skills on you know how to determine if before I send something or somebody my money, what have I done to protect myself? 00:19:16.851 --> 00:19:19.480 I mean, is that is that off the mark, do you think? 00:19:19.500 --> 00:19:21.381 No, no, I think it's coming to me. 00:19:21.401 --> 00:19:34.980 It's like we've talked about this a couple episodes ago of AI tools are entrepreneur biased, so it favors people who run businesses or want to do things autonomously in building something. 00:19:35.121 --> 00:19:38.941 They're also kind of attacker biased as well. 00:19:38.961 --> 00:19:46.480 And so the attackers are going to get these tools and use them before people know how to defend themselves against

them. 00:19:46.500 --> 00:19:54.101 And so I think kind of coming up for yourself kind of thinking about for me, it's like what are your verification systems for yourself and for your family. 00:19:54.381 --> 00:20:03.721 And don't rely on the bank, you know, to kind of like, stop your funds from being transferred, if you need a oopsie redo. 00:20:04.461 --> 00:20:15.121 And don't be surprised, I I did this last year when there was a product called Mitra came out and it's a voice, a voice AI voice product. 00:20:15.141 --> 00:20:18.221 It was one of the first ones, I think it was maybe a year ago. 00:20:18.240 --> 00:20:27.780 And I got it, I had like a 90 second, I recorded a 90 second audio clip of me in this on this platform. 00:20:27.800 --> 00:20:32.601 And it could make calls to people on my behalf in my voice. 00:20:32.621 --> 00:20:38.121 And so I did a couple I did a couple prank- calls to my family to kind of like try to- I'm scare them a little bit. 00:20:38.181 --> 00:20:42.240 Not not like not to you know, not just for fun. 00:20:42.260 --> 00:20:44.280 But I did use it a little bit for fun. 00:20:44.300 --> 00:20:46.181 - But mainly,- Sure there's no doubt about that. 00:20:46.201 --> 00:20:48.800 - I'm glad I wasn't on that short list of- yeah yeah, well, maybe we'll revisit that. 00:20:48.820 --> 00:20:49.721 calls. 00:20:51.421 --> 00:20:56.820 But it was mainly to say, hey, this is here, and it's going to catch people off guard. 00:20:56.840 --> 00:20:58.540 And that was a year ago, and it was pretty good. 00:20:58.560 --> 00:21:00.941 And now they now you can, you can hop on a Zoom call. 00:21:00.961 --> 00:21:05.921 And it could be somebody that you looks exactly like somebody that you think you know. 00:21:05.941 --> 00:21:19.901 And if somebody is somebody you love, that looks like somebody you love sounds like somebody you love is in distress in some way and is and is asking you for money, you have to be able to know what those verification systems are that only you and those people know. 00:21:19.921 --> 00:21:33.421 So like, a like a simple, you know, thing that you could, you know, maybe do is like, come up with like, a family code word that you're having not recorded or not online, do it in person, come up with like some sort of code phrase or something. 00:21:33.441 --> 00:22:05.050 Or if somebody's asking you, it may sound silly, but ask them about a family trip or a memory that happened and that only you you two would know and try to make sure and verify that you have that and having those conversations with your family to say, I know this sounds weird, but you know if you if you're you know in your dorm room and you're short on you know cash for lunch and you you know text me for or call me for something, I might ask you a couple of questions just to make sure because there's no one else policing this. 00:22:05.310 --> 00:22:15.451 The UK watchdog and the FBI, they are putting out watch lists and asking people to report things when things come in for specific AI scams. 00:22:15.471 --> 00:22:24.631 If you do fall, victim to one of these things, or you notice one, report it, and get that information out there, we have to work together on this. 00:22:24.651 --> 00:22:29.010 But the only one that's truly going to- protect you in that moment is, is what you- It's you. 00:22:29.030 --> 00:22:29.891 is you. 00:22:29.911 --> 00:22:30.211 Yeah. 00:22:30.230 --> 00:22:41.125 And by the way, I don't want to sound obnoxious, but I see where this is going, you know, and this is a theme that I'm developing in my personal life, and all I can do is give you my experience. 00:22:41.484 --> 00:22:44.545 I would say ask AI right, for help. 00:22:44.565 --> 00:22:54.325 I don't have all the answers, and this technology is more than capable of you know, these agents that we're building, whether it's on Muse, whether it's on Grok. 00:22:54.345 --> 00:23:09.964 But I know ChatGPT is now running a beta that I got notified yesterday where their agents are becoming a bit more involved in the, like, if you, have these agents in your life, talk to them and run everything by them. 00:23:09.984 --> 00:23:11.605 And that doesn't mean to just take what they say. 00:23:11.625 --> 00:23:17.105 So then when you get scammed by the $2,500 for the rental property, and then you say, well, Grok told me to do it. 00:23:17.125 --> 00:23:33.444 No, that's not the, again, we're not losing our critical thinking skills because we're asking this technology for its input, but I would think that it knows how to help me develop my Spidey senses maybe better than I do. 00:23:33.464 --> 00:23:37.765 And I'll continue to repeat the concept of I don't know what I don't know, right? 00:23:37.785 --> 00:23:39.065 There's just too much to know. 00:23:39.085 --> 00:23:42.865 And I'll, and I'll, none of us will ever know all of the things that we don't know. 00:23:42.884 --> 00:23:59.065 But if you ask, you know, if you get into the habit of involving or including some of these conversations with this technology, I think it can really help protect you because it really is your responsibility. 00:23:59.085 --> 00:24:11.644 You can blame the criminals all day long and you can blame the government for the lack of guardrails and we can all blame everybody for everything or we can do our best to really protect ourselves. 00:24:11.664 --> 00:24:19.144 And for the demographic that might not be able to do so, I think that's another conversation that needs to be had for sure. 00:24:20.674 --> 00:24:22.214 So yeah, those are my thoughts. 00:24:22.444 --> 00:24:31.704 Yeah, and I don't want to belabor this point, but I think one one thing that as we're thinking about you are still the CEO of your life. 00:24:32.045 --> 00:24:41.545 And you're the CEO of your finances, and asking for help using the best tools doesn't mean that you just follow those, that advice, you're just getting information. 00:24:41.565 --> 00:24:50.285

And I think using these tools, there are there are there is technology and there are tools out there that are like AI detectors in some ways. 00:24:50.305 --> 00:25:05.714 And so I've had this before where I got a voicemail Maybe about five, six, seven months ago, and somebody I was like, they didn't leave their name, I was pretty sure I knew who it was from their voice. 00:25:06.255 --> 00:25:15.674 But I was not 100% sure I dropped it into a voice, like is this a human voice or is it an AI voice and they came back and said it's a human voice. 00:25:15.694 --> 00:25:18.894 And so that led me feeling okay reaching back out to them. 00:25:18.914 --> 00:25:23.394 So there are tools out there, just explore them, do your due diligence. 00:25:23.875 --> 00:25:27.234 And yeah, maybe we'll cut this part out. 00:25:27.255 --> 00:25:30.595 But I was scammed once when I was getting our puppy. 00:25:31.115 --> 00:25:32.775 I got puppy scammed. 00:25:32.914 --> 00:25:42.335 Luckily, they didn't take any money from me, but they did cost me about three hours driving to central Oregon to go look at some puppies that they said they had. 00:25:42.654 --> 00:25:43.615 I was so upset. 00:25:43.634 --> 00:25:48.535 I spent about a year wasting that scammer's time with busy work. 00:25:48.555 --> 00:25:50.214 I was like, I want to buy one of your puppies. 00:25:50.234 --> 00:25:51.575 But here's all the things I need to do. 00:25:51.595 --> 00:25:53.355 Now I want to buy a litter of your puppies. 00:25:53.375 --> 00:25:55.875 And now my entire apartment complex wants to buy your puppies. 00:25:55.894 --> 00:26:00.075 And I felt I was just kind of like building this whole story to make this person think they got this. 00:26:00.095 --> 00:26:03.414 I was like, if I can waste a little bit of their time, so they're not scamming other people. 00:26:03.434 --> 00:26:08.974 So you know, we got to find the little- things in life to get control over. 00:26:05.315 --> 00:26:10.515 - So when you're done boiling frogs, you're Even maybe those. 00:26:13.194 --> 00:26:15.134 scamming scammers is what I'm hearing. 00:26:15.154 --> 00:26:17.174 - Is that pretty much,- I've never boiled a frog. 00:26:17.194 --> 00:26:19.265 - I mean. 00:26:17.194 --> 00:26:19.265 - I'm going to send you a book. 00:26:19.285 --> 00:26:20.765 There's a book on this. 00:26:21.505 --> 00:26:23.265 We learned something new. 00:26:23.365 --> 00:26:26.585 Yeah, yeah, yeah, I won't send you. 00:26:26.605 --> 00:26:30.964 I have all the documents of my back and forth with this scammer someday. 00:26:30.984 --> 00:26:32.545 I'm going to go write a book about it. 00:26:33.444 --> 00:26:35.525 Okay, so let's look at this next article. 00:26:35.545 --> 00:26:40.704 We got Faraday Future, an electric car startup. 00:26:40.904 --> 00:26:44.944 They launched FF Nova a couple weeks ago on October 15th. 00:26:45.525 --> 00:26:50.545 They call it America's first humanoid robot under $2,500. 00:26:51.565 --> 00:26:55.224 It's $2,490 to be specific. 00:26:55.585 --> 00:26:57.865 It's about 20 inches tall and six pounds. 00:26:57.884 --> 00:27:01.505 It walks on two legs, gets back up if it's knocked over. 00:27:01.704 --> 00:27:06.204 It talks through an AI voice and can plug into your AI assistant. 00:27:06.785 --> 00:27:11.664 It's a 100-unit invite-only batch it's closed and ships at the end of November. 00:27:12.105 --> 00:27:17.585 So that's like, by the way, in a couple weeks, so public pre-orders are already open. 00:27:17.605 --> 00:27:21.484 And shipments are coming in around January 2027. 00:27:21.724 --> 00:27:29.125 Oh, and there's also a 299 Nova Mini for kids eight and under, or I'm sorry, kids eight and up. 00:27:29.384 --> 00:27:31.125 So this is interesting. 00:27:31.144 --> 00:27:37.984 We got kid we got toy robots and, or we got robots coming into the house in the next couple of weeks, really. 00:27:38.184 --> 00:27:45.345 And I mean, I think 2027 is going to be kind of the launch of all different companies, running out humanoid robots. 00:27:45.365 --> 00:27:48.115 But what are, what were your thoughts when you read this? 00:27:48.204 --> 00:27:50.045 I mean, I thought it was kind of cute, right? 00:27:50.065 --> 00:27:51.085 You said 20 inches tall. 00:27:51.105 --> 00:27:52.944 I don't know how humanoid that is. 00:27:53.865 --> 00:27:58.025 You know, I feel like growing up in the 80s, there's always been robot toys, right? 00:27:58.045 --> 00:28:11.424 This isn't like, it wouldn't be the first thing that you know, you put some batteries in and it on two legs can walk, only now it sounds like there's like an Alexa strapped to its back and it's going to, you know, walk you through a curriculum. 00:28:11.444 --> 00:28:38.234 I don't know, I mean, this is, I I don't think it's that new of a concept, Like, I mean, I realize it might be for twenty five hundred dollars we better do a lot more than like whatever Kenner's robot was back in, in '88 but it it it's it seems like it's kind of, they're talking about a kid curriculum and like like it's, I don't know, I don't know what to make of it. 00:28:38.255 --> 00:28:43.075 - It's it's not the robot I'm looking for. 00:28:38.255 --> 00:29:02.275 - It feels no, it, it looks, it feels a little bit to me, like I'm thinking like early, early like first like Pong like this is gonna be like the first video game that comes out that like, you know, you know, it's gonna be like almost like a novelty type of thing where I don't know how productive it's gonna be twenty five hundred dollars I don't know that I it feels a little gimmicky to me. 00:29:02.295 --> 00:29:08.994 But also, we talked about essentially society being socialized to these changes. 00:29:09.015 --> 00:29:14.115 This I think is actually kind of a good on-ramp to socialize robots being in the household. 00:29:14.134 --> 00:29:19.835 It's probably going to be non-threatening, it's small, it's maybe for your kids, maybe you'll teach

your kids some things. 00:29:20.315 --> 00:29:35.194 But what's what's really the kind of story to me here is this is like, this is kind of the first of many, you know, there are companies like Figure, Optimus from, from Tesla. 00:29:35.214 --> 00:29:51.234 I mean, these, these larger scale humanoid robots that are more full size, that can, you know, clean your house, do your dishes and a lot more productive that are more of like the, this 20 inch robot isn't the one that our listener earlier was worried about of ending the world. 00:29:51.255 --> 00:29:52.615 It's the Optimus robots. 00:29:52.634 --> 00:29:57.835 It's the ones that are, you know, kind of more from I, Robot, you know, kind of canon. 00:29:58.454 --> 00:30:09.134 And so I think this is going to start, kind of kick off 2027 as being, you know, at some point, I think maybe the year of the robot, and maybe not immediately, but maybe towards the end of 2027, 2028. 00:30:09.154 --> 00:30:18.414 I think it's just a matter of time before these things, you know, start getting integrated into, we're getting physical,- you know embodied AI you know in the next- So so so so do do we want to early adopt 18 months. 00:30:19.664 --> 00:30:19.964 this? 00:30:19.984 --> 00:30:28.744 Like, so that when Optimus or, you know, whatever other human, I I just, I told you, I saw that robot, you know, run like an 8 8 100 meter dash. 00:30:28.765 --> 00:30:48.444 These, these robots seem to be being developed and when they are, you know, standing on whatever factory lines and, and they're capable of so much more, do I want to start with Pong in order to be able to get to Space Invaders, to be able to get to Pac-Man, to be able to get to- like GTA 6 I mean, is that, is, is this- I don't know. 00:30:48.464 --> 00:30:49.184 where we start? 00:30:49.204 --> 00:30:50.825 Dude, is this a good? 00:30:50.845 --> 00:30:52.904 I mean, should we should we get one? 00:30:52.934 --> 00:30:53.755 I'm not going to. 00:30:53.775 --> 00:31:09.214 I mean, I think I think being an early, so I was kind of an, I view myself as kind of an early adopter into AI, large language models and agents trying to stay, because, because that is more in line with how it helps me in my life. 00:31:09.234 --> 00:31:15.434 And I think there's going to be people that are going to be more, like we're talking about being the CEO of your job, right? 00:31:15.454 --> 00:31:42.214 And not just like, if you are if you are somebody, I'd be I'd be thinking about this if I was a Uber driver, if I was a plumber, if I was someone who does something physical, and five, 10 years down the road, there's going to be robots that are going to also come, for my job, like the agents right now are coming for, more Excel filing and the kind of white collar positions. 00:31:42.234 --> 00:32:02.375 I might be more open to being an early adopter because I would want to know what these things are capable of and I want to know how I can train it and maybe move from an

Uber driver to a fleet operator, move from a individual plumber to a owning a plumbing company of robots that can do those types of things. 00:32:02.394 --> 00:32:13.615 So if I was in those types of positions, I might start be thinking about that and maybe not, I don't know if I'd be getting this robot for twenty five hundred dollars, but I would be keeping my eye on it and be paying attention. 00:32:13.634 --> 00:32:15.974 - So that I have that plan B and plan C- Yeah, I mean, and ready. 00:32:15.994 --> 00:32:16.555 and I love that. 00:32:16.575 --> 00:32:17.795 I think that's a great point, right? 00:32:17.815 --> 00:32:20.194 Like, how, how does it affect us? 00:32:20.214 --> 00:32:21.474 And what can we do? 00:32:21.494 --> 00:32:27.259 So if Is there something in this little 20-inch robot that can help me now? 00:32:27.578 --> 00:32:28.659 I don't know right? 00:32:28.679 --> 00:32:30.269 - Like- I don't know. 00:32:30.288 --> 00:32:31.409 I mean, I'm not an expert in these. 00:32:31.429 --> 00:32:32.489 I'm not an insider. 00:32:32.509 --> 00:32:34.249 - We're just, you know, two regular guys- Two regular guys. 00:32:34.269 --> 00:32:36.469 trying to make sense of all this. 00:32:36.489 --> 00:32:39.709 - So do not buy this robot because of this- Yeah, buy it. Don't buy it. Yeah, agreed. 00:32:39.729 --> 00:32:40.628 conversation. 00:32:41.204 --> 00:32:49.583 Having the conversation again I think is is really important, you know, and you can love him or you can really not love him. 00:32:49.603 --> 00:33:02.143 But if we take, you know, Elon at at any of his predictions of what he says he's gonna do, it's it's been kind of a somewhat of an impressive track run, right? 00:33:02.163 --> 00:34:00.836 He's And he said he was going to land rockets like on themselves to reuse them and that's unheard of and I'm not a you know a a space engineer by any like but these rockets if you ever followed the Apollo and the Saturn 5 and I mean these the biggest waste in the history of NASA was the rocket boosters that get them up into into orbit and he's landing these rockets on themselves because he said he was going to do that and he did it and now he's saying he's going to build 10 million of these robots annually and and he maybe he won't, maybe it's just a whole bunch of claims that he's not going to do but it's it's worth considering and so if this stuff winds up coming into our landscape and our society and this is the first one, I I mean it'd be interested to see what comes of it and who who who learns from it and who does what with it- so interesting. 00:33:57.297 --> 00:34:13.217 - Yeah, and he and Tesla isn't even the leader in robotics right now, so if that's what he's planning to do, you know, there's also a few other companies that are, and then China's even, I think, the the on the front edge of that as well. 00:34:13.237 --> 00:34:18.936 So they're gonna come, it's just a matter of, I think, when and to what impact. 00:34:18.956 --> 00:34:24.976 But let's, I think, as you start kind of closing that up, just you got to stay nimble. 00:34:24.996 --> 00:34:45.856 And thinking about, thinking about what you thought the world was going to look like for your life and for your career, you have to you have to be willing to say that that trip, that run of your career may not be exactly the way you thought it was going to be, and you have to be ready to to pivot and stay nimble. 00:34:45.916 --> 00:34:52.717 So let's look at this other news article that we we looked at, I don't know if I'm going to pronounce this right. 00:34:52.737 --> 00:34:58.297 Eedi, Eedi, E-E-D-I, a UK math learning company. 00:34:58.317 --> 00:35:09.197 They did a real experiment with Google DeepMind with about 1,200 students ages 12 to 15 in 10 UK state schools over 10 weeks of math lessons. 00:35:09.217 --> 00:35:21.996 When a kid got a question wrong, they were either given standard help in the app, a human tutor in the chat, or an AI tutor, which was run and powered by Google's Gemini. 00:35:22.016 --> 00:35:30.737 So either an app help, a human help, or AI help, and they did have a human approve every AI message to make sure that things were safe. 00:35:30.797 --> 00:35:33.916 But here's how the results of that study came out. 00:35:33.936 --> 00:35:49.956 When AI with humans, so AI with human oversight, the kids got the next question right 56% to 58% of the time versus 43% with just the standard or human only help. 00:35:49.976 --> 00:35:58.157 So AI with humans actually were more effective in tutoring students than humans on their own. 00:35:58.717 --> 00:36:09.137 And so one thing to kind of think about, and this was kind of a catch in the article after 10 weeks of this study, neither AI nor human tutoring actually improved test scores. 00:36:09.157 --> 00:36:13.237 So that validates me as a kid who couldn't pass chemistry, even with tutoring. 00:36:13.257 --> 00:36:15.237 So thank you for that. 00:36:15.637 --> 00:36:24.956 But the data did hint to the idea that humans with AI as a tutor are more effective. 00:36:24.976 --> 00:36:26.336 Are you surprised by that? 00:36:27.327 --> 00:36:28.786 No, I'm not surprised by it at all. 00:36:28.806 --> 00:36:34.487 I told you I am completely blown away by what just a few weeks. 00:36:34.507 --> 00:36:40.606 And again, like you, I was an early adopter the idea of large language model chat bots with chat GPT. 00:36:40.626 --> 00:36:58.007 I've been using it for a long time, but what I've discovered this technology is capable of today is mind-blowing completely mind-blowing and so, no, it doesn't surprise me at all that, you know, AI tutoring can be as good as human tutoring. 00:36:58.527 --> 00:37:08.766 I you know I I've got a little cousin who who has a successful tutoring business and you got to wonder, like does she use AI in her tutoring? 00:37:08.927 --> 00:37:09.626 Will she? 00:37:09.646 --> 00:37:12.467 You know and it's probably a conversation that I'd

want to have with her. 00:37:12.487 --> 00:37:29.847 I can tell you that when as a dad who, I spent thousands, like north of five thousand dollars in elementary school for one of my kids to have math tutoring, like, what a racket, like, I and I don't even know, like, you know, I was it, was it, was it, was it good? 00:37:29.867 --> 00:37:31.166 Was it not like I don't. 00:37:31.186 --> 00:37:41.606 So if, if, I mean, what's the downside, Luke, if if AI can is proven now with these tests that with human oversight, right? 00:37:41.626 --> 00:37:46.367 So let's say my cousin, again, I'm I'm just trying to imagine this here. 00:37:46.387 --> 00:37:56.827 But if if she can, you know, tutor six kids a day, but manage, three agents that can tutor 60 kids a day, doesn't that help more? 00:37:56.847 --> 00:38:03.447 And doesn't it drive costs down so that maybe more kids don't have to spend thousands of dollars and she can still run a sustainable business? 00:38:03.467 --> 00:38:05.666 Like, I just don't. 00:38:05.686 --> 00:38:09.786 I I for me, the like you said, nimble, we got to keep our minds open. 00:38:09.806 --> 00:38:16.016 What's the what's the downside of having this technology help tutor students that are trying to learn material? 00:38:16.077 --> 00:38:49.117 Yeah, well, I guess maybe to play devil's advocate is because first of all, I agree and to play devil's advocate maybe a little bit is I can imagine maybe somebody's hesitation is well, kids need human contact for learning because it's not just the knowledge, but it's also the connection with an adult and a positive affirmation and communication, interpersonal skills, that maybe they don't get that at home all the time with positive parenting, or having a positive influential adult in their life at home. 00:38:49.137 --> 00:38:59.376 And they get that through their tutor or through their teacher, because other adults are, in, their coach,- Yeah. 00:38:57.416 --> 00:39:00.496 - You know, so I don't know if that would maybe be my devil's advocate to that. 00:39:00.516 --> 00:39:01.657 All right, well, fair enough. 00:39:01.677 --> 00:39:03.416 Let's have some devil's advocate. 00:39:03.436 --> 00:39:07.396 And I get it, the human relation counts, so we'll table that for a second. 00:39:07.416 --> 00:39:11.257 But I oftentimes have to tell my AI to not be so easy on me. 00:39:11.277 --> 00:39:14.617 Like, I don't need it to agree with everything I say and be soft in its delivery. 00:39:14.637 --> 00:39:16.016 Like, I want some pushback. 00:39:16.036 --> 00:39:17.856 I want the devil's advocate to come from. 00:39:17.876 --> 00:39:28.496 So I think if we want the tutor AI to be encouraging and affirming, and like we can it can be trained to do just that, particularly with human oversight. 00:39:29.496 --> 00:39:43.047 So how that lacks for the human relation, I don't know that necessarily tutoring needs to be the and I could totally be speaking out of dirt here, so I tread very lightly. 00:39:43.306 --> 00:39:54.927 But I have to wonder, right, like, there could be a lot of biases, human biases that can come across in some of that material, maybe not in math, I guess a plus or two plus two equals four, no matter how you spin it. 00:39:54.947 --> 00:40:04.427 But I imagine there's other subjects where, you know, maybe I want a more subjective set of instructions than a you know a biased set of instructions. 00:40:04.447 --> 00:40:05.086 So I don't know. 00:40:05.106 --> 00:40:13.507 I think the human, I think I think we're gonna have to address the the psychological and relationship and emotion. 00:40:13.527 --> 00:40:18.567 I think all those conversations need to unfold themselves. 00:40:18.586 --> 00:40:19.306 Right? 00:40:19.327 --> 00:40:21.306 Those conversations have got to be. 00:40:21.327 --> 00:40:26.427 And we've seen that, and I won't go off on a rambling tangent because I know that our editor doesn't like it when I do that. 00:40:26.447 --> 00:40:28.827 It makes his job more difficult. 00:40:28.847 --> 00:40:30.907 But we've seen it with social media, right? 00:40:30.927 --> 00:40:37.447 Like it's done As much harm as good or maybe more harm than good. 00:40:38.266 --> 00:40:46.786 And so I'm not saying that we should, you know, allow for tutoring to do that, but I think the purpose of getting a tutor is to learn a subject. 00:40:46.806 --> 00:40:56.007 And if this technology can help me navigate that subject and the human that's overseeing it might be able to reach others, maybe the tutoring becomes more affordable as such. 00:40:56.027 --> 00:41:01.327 I mean, listen, they keep talking about this, world of abundance that's coming, right? 00:41:01.347 --> 00:41:06.706 Like everything's, the cost of everything is going to be driven down because nothing's going to be scarce. 00:41:07.887 --> 00:41:14.146 So if tutoring can go from $5,000 to $500 because AI is involved, great. 00:41:15.547 --> 00:41:16.927 What's the downside? 00:41:17.266 --> 00:41:24.126 I think I think this is where the like I think the hidden the hidden debate in this is not actually about AI tutoring. 00:41:24.146 --> 00:41:31.567 It's about how we support kids to be the best people they can be when through their development. 00:41:31.586 --> 00:41:39.686 And so we're talking about in the last two conversations, we talked about robots, maybe having curriculum plans for kids, we talked about AI tutors. 00:41:39.706 --> 00:41:49.867 So and maybe from a knowledge perspective, at some point, AI and robots are more effective at knowledge transfer and training for kids. 00:41:50.487 --> 00:42:09.967 So where's like the human element of this in terms of like, at what point are we are we taking like your soccer coach and having it be a robot because it is technically a better coach than, you know, someone's, you know, dad or a, you know, a- teacher who actually wants to make- But that's, connections with kids and build relationships and build a team.

00:42:09.987 --> 00:42:10.427 You know? 00:42:10.447 --> 00:42:17.047 So before you, before you jump in, I think I think that's where, the, I think it's easy to have this conversation be like a light switch. 00:42:17.067 --> 00:42:22.487 It's either, it's either AI is going to do it for everybody or humans have to do it only. 00:42:22.507 --> 00:42:30.086 And there has to be some sort of middle ground because this technology can, it's like, it's like putting a supercharger on a car. 00:42:30.507 --> 00:42:33.887 You still drive the car, but you can be more effective with it. 00:42:33.987 --> 00:42:37.106 It's like putting more fuel efficient gasoline in your car. 00:42:37.126 --> 00:42:41.146 So you can go farther and have cleaner energy, but you still drive the car. 00:42:41.166 --> 00:42:48.097 Although that's maybe a hit, there's a hidden conversation there of maybe you're- not driving the car anymore. 00:42:45.286 --> 00:42:48.097 - Please don't start that. 00:42:48.177 --> 00:42:52.737 What I'm hearing is that you want the marketplace to have options and as a consumer, I would love to have options. 00:42:52.757 --> 00:42:55.157 I was kind of cornered into three options. 00:42:55.677 --> 00:43:01.097 And I even had some neighbors that were teachers that were willing to tutor at that time. 00:43:01.117 --> 00:43:02.836 And it was way out of budget. 00:43:02.856 --> 00:43:12.697 So if the marketplace can be more competitive and the tutoring can remain as effective, I think you have a fair point about the human relation that takes place. 00:43:12.717 --> 00:43:19.396 And coaching, Ted Lasso could be the first one to tell you that technical coaching isn't all that coaching is, right? 00:43:19.416 --> 00:43:27.396 So to your point, now, there may be a time in the future in this generation or the next where the robots are just as capable of, I don't know, I don't know. 00:43:27.416 --> 00:43:36.617 What I know is right now we've got a little robot coming and we've got, you know, a curriculum that he's ready to teach and tutors that can integrate this technology. 00:43:36.637 --> 00:43:41.177 And you know, I will say this, though, if you read further in the article, it talks about that. 00:43:41.197 --> 00:43:46.237 I think that the teachers that were involved in this study said something to the effect of it. 00:43:46.257 --> 00:43:48.617 Wasn't as fulfilling for them. 00:43:48.737 --> 00:43:56.516 So, so they became a little less fulfilled, in which point the devil's advocate would come in and say, okay, well, what if instead of helping 60 kids, you can help 600? 00:43:56.536 --> 00:43:58.317 Would that be fulfilling? 00:43:58.617 --> 00:44:01.786 So I think they're great conversations to have, I think. 00:44:01.806 --> 00:44:02.347 yeah. 00:44:02.367 --> 00:44:13.376 Or help or help 60 of the kids that need- it the most while also supporting 600, you- Or the people that need it and don't have know, and- access to it because it's $5,000. 00:44:10.896 --> 00:44:13.376 - Don't have access to it. 00:44:13.396 --> 00:44:14.677 Yeah, right, yeah. 00:44:14.697 --> 00:44:26.637 Yeah, it's gonna be, I mean these are interesting ethical and like debates that we're going to have to be having as a society and that's why you and I are having them and just learning out loud and just trying to make sense of it because there's no answer. 00:44:26.677 --> 00:44:28.717 None of us have ever gone through this before. 00:44:28.737 --> 00:44:31.336 - Everything on the other side of tomorrow- And, and, and, and, is unknown. 00:44:31.726 --> 00:44:43.826 Neither of us are coming at this as like we have the answers and I think the more that we have conversations, the closer we get to what the answer is, even though I doubt we'll get to it, just because- there's so much going on right now. 00:44:41.626 --> 00:44:43.826 - We might find it. 00:44:43.846 --> 00:44:45.646 - Someone else might deliver it right up for- But us. 00:44:45.666 --> 00:44:48.505 - So fingers crossed. 00:44:45.666 --> 00:44:58.346 - Yeah yeah, hopefully, and this is, you know, I think I was good I was about to say, and and maybe it's not even a human, or hopefully it's a human but maybe it's an AI who actually tells us how to how to make sense of this. 00:44:58.365 --> 00:45:05.686 And, and you know, would that be though, if, if we could get the answer, if we had the right answer, does it matter who it comes from? 00:45:05.885 --> 00:45:14.626 And I think this is going to be a real big challenge for humans is because at least in America, we love getting credit for things. 00:45:14.646 --> 00:45:25.465 And, and what happens when we when we don't get credit for things, but we are responsible for coordinating things getting done more effectively. 00:45:25.485 --> 00:45:35.445 And, you know, I'll, I'll shout out to my dad, because he used to have this saying of imagine a world or imagine what's possible in a world where nobody gets the credit. 00:45:35.985 --> 00:45:47.865 And I think we're kind of entering into a world where maybe it's less and less it doesn't matter who the individual is against the credit and that and we still got to drive towards outcomes and whether or not it's my idea or your idea. 00:45:48.186 --> 00:45:48.885 Who cares? 00:45:48.905 --> 00:45:50.646 Did it improve our lives? 00:45:50.666 --> 00:45:51.606 Did it improve humanity? 00:45:51.626 --> 00:45:59.246 To make people, did it make people who are, who are maybe hungry and in in a, you know, in a third world, you know, be able to get food? 00:45:59.266 --> 00:46:02.766 Is it helping somebody who can't afford- tutoring be able to get tutoring? 00:46:01.045 --> 00:46:02.766 - All right. 00:46:02.786 --> 00:46:03.246 Who cares? 00:46:03.266 --> 00:46:04.545 Who cares who came up with the idea? 00:46:04.565 --> 00:46:09.246 - Like, let's just get these things solved- I I- and get things done. 00:46:06.045 --> 00:46:10.326 - I agree and I and I and I love my uncle

for for that saying, right? 00:46:10.346 --> 00:46:17.585 Like I've heard, you know, I should go do a good deed for someone and not get found out or else it won't count, right? 00:46:17.606 --> 00:46:27.786 So I I'm I'm learning that, hey, needing credit may not may not be all that it's cracked up to be just because we've been socialized to chase credit, so. 00:46:27.806 --> 00:46:32.985 And that might be a good skill to be teaching our kids as well, because I think that'll be an important one. 00:46:33.005 --> 00:46:59.306 Let's hit let's briefly kind of go over this last, this last topic that we had, which there was a new study by Nature Communications published on October 29th, which by the time this comes out, will be a couple weeks ago, tested reasoning AI models, the kind that help you, that think step by step before answering against regular versions of the same models from OpenAI, Google, Anthropic, DeepSeek. 00:46:59.885 --> 00:47:06.206 So they use almost 3,000 real and anonymized hospital and ICU records across 12 specialties. 00:47:06.346 --> 00:47:20.195 The reasoning versions got the main diagnosis right, 52.8% of the time versus 38.7% of the time on the data set compared- to the other LLM. 00:47:17.505 --> 00:47:20.695 - All right, wait, wait, wait, wait, wait,- wait, wait. 00:47:20.215 --> 00:47:21.965 - Yeah, yeah, let's unpack that a little- Say that again slower. 00:47:20.715 --> 00:47:21.965 - bit. 00:47:21.985 --> 00:47:25.516 - Let's unpack that a little bit so- Yeah, so I just want to make sure I understand the math. 00:47:26.146 --> 00:47:35.666 So so this new reasoning model, so not not the models we're used to, it's a new it's- a new model, they're calling it all LRM,- Okay, so it's new to you. 00:47:35.686 --> 00:47:38.215 - large. 00:47:35.686 --> 00:47:38.215 - When I read it, I'm like, LRM, what's LRM? 00:47:38.235 --> 00:47:40.896 I've never heard I've never heard of this- before, ever. 00:47:39.936 --> 00:47:40.896 - Oh, I feel better, all right. 00:47:40.916 --> 00:47:44.076 - This just came out published 20 two days- All right, all right, LRM, okay. 00:47:44.096 --> 00:47:46.195 ago from this recording, LRM. 00:47:46.536 --> 00:47:48.615 I don't, I don't know, who knew? 00:47:48.635 --> 00:47:50.795 That you know we're gonna learn something new, we're learning out loud. 00:47:50.815 --> 00:47:53.076 - So but it was like, what is it, I'll do- We are. 00:47:53.096 --> 00:48:01.315 mental math, about 14% more effective in diagnosing patient outcomes than the original, the other model. 00:48:01.335 --> 00:48:06.195 However, it named 34% more conditions that the patient didn't have. 00:48:06.675 --> 00:48:08.496 Whoa, whoa, whoa, whoa. 00:48:08.516 --> 00:48:15.795 So it was more right on the diagnosis,- But it also just threw out a lot of stuff. 00:48:11.715 --> 00:48:16.615 - but then it, over-diagnosed all kinds of things that were wrong. 00:48:16.635 --> 00:48:17.056 Okay. 00:48:17.076 --> 00:48:18.376 So all right. 00:48:18.505 --> 00:48:33.465 Yeah, so, so, and, and I'm going to kind of cut to the chase here with this because I think this plays off of our previous conversation, is AI and these tools can help us do our jobs, but they cannot replace us right now. 00:48:33.485 --> 00:48:39.326 And AI with a doctor is better than AI by itself and it's better than a doctor by itself. 00:48:39.346 --> 00:49:01.226 And so so, so when doctors and and doctors use AI to do the brainstorming and those kind of 34% of inaccuracies can get filtered out, but the doctors can have 14% more effectiveness in diagnosing outcomes, that might be a good thing. 00:49:01.246 --> 00:49:03.945 So, can you repeat that slowly? 00:49:03.965 --> 00:49:11.195 AI without doctors, isn't- better than an AI. 00:49:07.655 --> 00:49:12.775 - AIs with doctors are better than AI by itself or doctors by itself. 00:49:12.795 --> 00:49:13.306 - The two together are more effective. 00:49:12.795 --> 00:49:13.306 - All right. 00:49:13.326 --> 00:49:22.815 So, I want to point out here, obviously, that we are not medical practitioners or doctors or in the medical field- whatsoever. 00:49:20.556 --> 00:49:26.655 - If you thought we were regular guys on the mini robot that was coming out, we are- definitely regular guys on the medical,- here we go. 00:49:26.675 --> 00:49:30.536 - Hold on for the, hold on for the ride,- well, but so, so hold on. 00:49:30.556 --> 00:49:36.155 So hold on though, because I, I missed this, this number that kind of led me to this, to kind of this conclusion. 00:49:36.175 --> 00:49:37.436 It wasn't that number. 00:49:37.456 --> 00:49:52.376 It was when doctors used AI to brainstorm possibilities and then checked those possibilities that the AI gave them, the accuracy of the doctor went up 20 and and false alarms dropped 44. 00:49:52.396 --> 00:50:01.556 So so doctors actually are were without with AI, the the accuracy went up and their false alarms went down. 00:50:01.576 --> 00:50:06.215 Where if by the AI itself, it was more accurate and false alarms went up. 00:50:06.235 --> 00:50:10.255 So that that's where I think that is maybe the more meaningful number there. 00:50:10.275 --> 00:50:12.436 And this is really meaningful, right? 00:50:12.795 --> 00:50:18.596 And I don't know who, you know, like you say, HIPAA, so I don't, I got to be careful with whose stories, including mine, we share. 00:50:18.615 --> 00:50:27.916 But one thing we should all be able to agree upon is that in for the most part, from what I understand, medicine is just not an exact science, right? 00:50:27.936 --> 00:50:36.396 It's it's there's especially when you get into some of the complicated autoimmune illnesses, you know viruses that come up out of nowhere. 00:50:36.416 --> 00:50:41.916 Like we there's science is not exact, I I think. 00:50:42.155 --> 00:50:43.456 And maybe that's I don't know. 00:50:43.476 --> 00:50:45.275 Maybe maybe I made that up. 00:50:45.476 --> 00:50:54.335 But the at the

end of the day, I think the theme here is that AI can complement the human that's using it. 00:50:54.746 --> 00:51:06.226 And I think we're starting to see more and more examples, whether it's in tutoring, whether it's in, you know, we talked earlier about protecting ourselves against scams. 00:51:06.246 --> 00:51:10.846 I'm going to involve my AI to help me be better at developing Spidey senses. 00:51:10.865 --> 00:51:23.146 A doctor is going to help AI to, you know you know, minimize the false alarms and and really make sure that that these things are capable of remembering more than, than humans are. 00:51:23.166 --> 00:51:32.476 There may be a few humans out there that are like Mensa Nobel prize that can still run circles around AI as it sits today. 00:51:32.496 --> 00:51:36.615 And if there are, I imagine there won't be for long. 00:51:36.635 --> 00:51:45.476 I would venture to say that this technology is already significantly smarter than most of us. 00:51:45.496 --> 00:52:04.795 So why wouldn't I use this superpower to confirm or challenge my thinking, especially in medicine, when our lives literally depend on the accuracy of the diagnosis and the type of treatment recommended. 00:52:04.815 --> 00:52:10.396 You and I could have an identical diagnosis, go to four different doctors, and get four different treatments. 00:52:10.416 --> 00:52:12.936 And why wouldn't we want AI to sit in at the table? 00:52:12.956 --> 00:52:16.856 And if the doctor's not going to use it, you can rest assured, I will be. 00:52:16.876 --> 00:52:21.356 And I'm not saying that AI is going to become my doctor, but I don't know how to speak doctor. 00:52:21.536 --> 00:52:27.956 So maybe I can use this technology to help me understand and translate what the doctor's saying and form the right questions. 00:52:27.976 --> 00:52:30.036 - Like this is,- You better advocate for yourself. 00:52:30.056 --> 00:52:46.976 yeah, like like this again, we're focusing in the purpose of our time together on the optimistic side of what of what this can do and how I really want and you really want to integrate this in our lives to make us better. 00:52:46.996 --> 00:52:58.436 Whether it be in our relationships, in our careers, as as patients of doctors, like this is another study that says, hey, there's still a margin of error, which is why human oversight is required. 00:52:58.456 --> 00:53:01.255 Doctors went to school, they've practiced for years. 00:53:01.275 --> 00:53:04.635 They need to oversee what's happening. 00:53:04.675 --> 00:53:06.275 But they can also miss things. 00:53:06.295 --> 00:53:08.476 They're human and they have biases. 00:53:08.496 --> 00:53:12.476 And it sounds like AI is going to help neutralize some of that. 00:53:13.715 --> 00:53:22.675 Well, so let's let's maybe, I think one of the themes from this is, from our conversation is, because there is a lot of fear out there. 00:53:22.795 --> 00:53:26.295 But I think one of the things is we are not replaced yet. 00:53:26.496 --> 00:53:31.215 And there's still a great role for humans to play right now. 00:53:31.235 --> 00:53:35.856 And and I think we can step up and try to do the best that we can in that. 00:53:35.876 --> 00:53:48.063 And I want to end that comment or that segment with the idea that I ask the AI, and then I ask better. 00:53:48.663 --> 00:54:03.782 I'll ask my platform, and then I'll be able to ask the criminal who's trying to scam me better, the doctor who's trying to diagnose me better, the tutor who's having a difficult time helping me understand the material I'm trying to wrap my head around. 00:54:03.902 --> 00:54:08.202 So the idea is to ask AI so that I can ask better. 00:54:09.362 --> 00:54:25.163 So every, every week we try to give some sort of practice that we're thinking about some sort of insight, some sort of tip, something that we're learning, and some sort of inspiration to kind of remind us what's possible and keep us hopeful for the future. 00:54:25.322 --> 00:54:30.722 The kind of tip of the week is I think I would kind of encourage people to just go out and try a couple of these models. 00:54:30.742 --> 00:54:34.483 There's a lot of different agents out there that are being released. 00:54:34.742 --> 00:54:39.643 Try a couple them out most of them have free versions where you can kind of just play around with it. 00:54:39.663 --> 00:54:51.202 And we've been saying on this show, we've been saying it, I don't know if we've said it on the show, but David and I have been saying it privately, constantly over the last few weeks is be relentlessly ambitious in your efforts. 00:54:51.222 --> 00:55:04.123 Try to integrate this technology, ask it as it can, how it can help ask it to interview you so it can get to know you a little bit so it can better give you better give you suggestions on how it can help. 00:55:04.262 --> 00:55:14.902 One thing as we're so early in some of this adoption, it's really important to try, if you can, to retain what makes the agents useful to you. 00:55:14.922 --> 00:55:27.862 So so as you're playing around, if you're jumping tracks to, and David, you and I've talked about this of you're like you're like three years into OpenAI, and so it feels like maybe it feels like a lift to maybe move into a different platform. 00:55:27.882 --> 00:55:43.443 So one thing you can do is as you play around with these different agents, have it create some sort of document for you, that has it kind of keeping track of how it's working with you and kind of like a train the agent document. 00:55:43.463 --> 00:55:55.422 So that way you have something that if you want to go from Muse to Grok, try out ChatGPT, try out Claude, whatever it is, you have something to take with you that you're not just starting over from scratch. 00:55:55.443 --> 00:56:02.523 So you can take your Grok's train the agent about you and then go and give it to Muse and be like, hey, this is, this is who I am. 00:56:02.543 --> 00:56:04.382 This is

how my last agent helped me. 00:56:04.402 --> 00:56:08.369 How can you help me so that would be kind of my tip of the week as you get started. 00:56:09.409 --> 00:56:14.750 David, you want to kind of get us into- what's inspiring us today? 00:56:10.630 --> 00:56:19.050 - Yeah, this week's inspiration comes from my better half, Yeko and her Muse, Yendi. 00:56:19.429 --> 00:56:34.789 Yeko's always kind of a late adopter to some of these technological advances, but as she overheard our efforts and saw the fire ignited with this passion project, she decided to download Muse. 00:56:34.809 --> 00:56:45.329 And immediately she you know, made the character in likeness to her and named her Muse agent, Yendi. 00:56:45.349 --> 00:56:50.909 And Yendi has been extremely busy in the last week. 00:56:50.929 --> 00:56:55.369 Yeko's used Yendi to Record notes. 00:56:55.389 --> 00:57:07.190 She was part of a board that she's on, a volunteer board and you know, was official meeting and she was able to upload the the board meeting right into to Yendi. 00:57:07.309 --> 00:57:12.710 And Muse then filled out all the meeting notes, so Yeko didn't have to. 00:57:12.889 --> 00:57:27.250 As a performance arts teacher at the college level, she used Muse to splice together videos that she could then you know teach in class from different areas. 00:57:27.489 --> 00:57:34.539 So she was able to you know turn that into a post as well to attract other students. 00:57:34.559 --> 00:57:41.320 There was a college grant, or a grant from the city, I should say, that she was trying to apply for, and Muse filled out all the paperwork. 00:57:41.340 --> 00:57:45.280 So she's really beginning to integrate the use of this technology. 00:57:45.300 --> 00:57:55.539 And I think that that inspiration, you know, since we don't really want to take credit for it, I think we can still take credit for the inspiration. 00:57:55.559 --> 00:57:57.800 So we thank her for that story that she... 00:57:57.820 --> 00:57:58.719 Has. 00:57:59.059 --> 00:57:59.739 Yeah, thanks. 00:57:59.760 --> 00:58:06.059 Thanks, yako and imagine how much more you can be involved in your community and with your family and your kids. 00:58:06.079 --> 00:58:12.719 If you don't have to take notes and take meeting minutes at your at your meeting. 00:58:13.199 --> 00:58:16.800 Although then the counter argument would be, you know, what does that do to our memory and retention? 00:58:16.820 --> 00:58:18.079 So we won't go down that rabbit hole. 00:58:18.099 --> 00:58:19.940 We're inspiring. 00:58:20.059 --> 00:58:23.059 We're able to be more involved, spend more time with our families. 00:58:23.079 --> 00:58:26.760 So one of our many missions here at late to the Future is to stay inspired. 00:58:26.880 --> 00:58:36.260 And we ask ourselves, is there a better investment of a dollar to inspire somebody to go change their life, change their family's life, change the world maybe. 00:58:36.280 --> 00:58:47.000 And so we've made it our personal goal here for this show to get down to one, what we're calling cost per inspiration, a playoff of client acquisition. 00:58:47.019 --> 00:58:51.260 We're putting our own funds, our own time into this passion project. 00:58:51.280 --> 00:58:53.000 We're not sponsored by anybody. 00:58:53.019 --> 00:58:59.699 We're not, you know, there's anything, all that we're doing here is just for fun and to try to add value into the world. 00:58:59.780 --> 00:59:08.860 And so we're justifying that by seeing how many people we can inspire to help change their lives, change their family lives, change the world's life. 00:59:08.880 --> 00:59:12.659 And so we're trying to get to $1 per cost per acquisition. 00:59:12.679 --> 00:59:13.940 And so we need more inspiration. 00:59:13.960 --> 00:59:16.739 We need you to share this with your friends, share it with your family. 00:59:16.760 --> 00:59:19.679 Let us know how you're inspired. 00:59:19.800 --> 00:59:26.840 If you have questions, let us know so we can better talk about the things that you care about and that you're concerned about or the things that are relevant to you. 00:59:27.000 --> 00:59:29.719 So share us your inspirations, share us your questions. 00:59:29.739 --> 00:59:31.579 You can reach out to us at late2thefuture.com. 00:59:31.599 --> 00:59:34.940 Hello, hello@late2thefuture. 00:59:34.960 --> 00:59:40.699 - And you can also,- That's our email, hello@late2thefuture, website, late2thefuture.com. 00:59:40.719 --> 00:59:43.550 - We're also on your favorite social media- Number 2, yeah. 00:59:43.570 --> 00:59:44.619 - And and Luke, what what about our- platform. 00:59:44.639 --> 00:59:46.679 So many different ways to get a hold of us. 00:59:46.789 --> 00:59:47.090 newsletter? 00:59:47.110 --> 00:59:50.280 What like, what is what's going on with- that? 00:59:48.489 --> 00:59:50.280 - Oh yeah, we have a newsletter. 00:59:50.300 --> 00:59:52.719 And we got we got so many things coming out. 00:59:52.739 --> 00:59:57.219 - We got a merch store coming out for people- Okay, we do,- who want to get inspired with their with- Mug, Mug the mascot? 00:59:57.239 --> 01:00:00.909 shirts,- You're saying people might want Mug the- Mug the mascot, a little dude who's never mascot? 01:00:02.019 --> 01:00:05.139 - made an appearance on the show yet. 01:00:02.019 --> 01:00:05.139 - Not yet, he is not. 01:00:05.159 --> 01:00:07.480 But there's so many different ways to get get a hold of us, get in touch. 01:00:07.500 --> 01:00:18.719 We're trying to we're trying to build a community of people who want to talk about these things and and try to make sense of it and support each other and try to stay hopeful during a time that there's a lot of reasons to not be. 01:00:18.900 --> 01:00:20.940 And so reach out to us. 01:00:20.960 --> 01:00:22.280 We'd love to hear from you. 01:00:22.300 --> 01:00:24.699 And thanks for being with us and thanks for listening. 01:00:24.769 --> 01:00:25.911 Thanks so much.