Latest / Connor with Honor: AI, Real Estate and Real Life / Not one model. Millions of agents, all connected, all running the same loop. Improve. Keep the change that worked. Do it again. At scale. No human in the room slowing it down.

Transcript

Not one model. Millions of agents, all connected, all running the same loop. Improve. Keep the change that worked. Do it again. At scale. No human in the room slowing it down. · Connor with Honor: AI, Real Estate and Real Life

• 0:00
  SPEAKER_00: Recursive self-improvement.
• 0:02
  SPEAKER_00: What does that mean when it comes to artificial intelligence?
• 0:05
  SPEAKER_00: Well, it's really the machine, the artificial intelligence, whichever large language model has been equipped with recursive self-improvement.
• 0:14
  SPEAKER_00: It's itself improving itself, making changes, saving those changes, the good changes, and then doing it again.
• 0:22
  SPEAKER_00: And doing it at scale over and over and over.
• 0:26
  SPEAKER_00: And maybe not just one agent, one entity doing it, but millions of entities doing the same thing that are all connected and all in touch with each other.
• 0:37
  SPEAKER_00: These are the different AI agents that have been scripted or programmed or dispatched, trained to be able to conduct the recursive self-improvement exercise to artificial intelligence.
• 0:51
  SPEAKER_00: Now, human beings, if they look at AI, we've talked about this in the past.
• 0:56
  SPEAKER_00: Maybe you've seen this, you've seen the stories that we're really not sure how AI does things.
• 1:01
  SPEAKER_00: And I make that same type of similar comparison to the human brain.
• 1:06
  SPEAKER_00: Maybe you come up or have some weird thought or weird idea or whatever it may be.
• 1:10
  SPEAKER_00: We don't have to get too personal on that note.
• 1:12
  SPEAKER_00: But maybe you think of something that's a little strange and you're thinking to yourself, hmm, that's odd.
• 1:18
  SPEAKER_00: I mean, it's your brain, but you really don't know where that thought came from.
• 1:21
  SPEAKER_00: You don't know how it manifested itself.
• 1:23
  SPEAKER_00: You don't know how it got into your melon and your brain bucket.
• 1:26
  SPEAKER_00: You don't really understand anything about why that particular thought came into your brain.
• 1:34
  SPEAKER_00: And then went from potentially subconscious into conscious.
• 1:37
  SPEAKER_00: And then now you're asking yourself, hmm, that's odd.
• 1:40
  SPEAKER_00: Why would I think that?
• 1:41
  SPEAKER_00: There's not any different kind of a smell, at least that you can detect, you know, consciously.
• 1:47
  SPEAKER_00: There's nothing else that happened.
• 1:49
  SPEAKER_00: And then maybe some of us might think, hmm, I wonder if my ear's burning means somebody's talking about me, or this sort of thing, or that sort of thing.
• 1:57
  SPEAKER_00: And human beings have a lot of cool little ways to kind of try to connect things to the unknown.
• 2:02
  SPEAKER_00: We don't know why it happens, but you know, maybe it's a spiritual event, maybe it's a God-driven event, maybe it's whatever you believe-driven event.
• 2:10
  SPEAKER_00: It comes into your brain.
• 2:11
  SPEAKER_00: That's not too far off the beaten path of AI's understanding and our understanding of AI.
• 2:18
  SPEAKER_00: Now, AI will show, I guess, the scientists, these people insight.
• 2:22
  SPEAKER_00: And, you know, what's interesting too, you don't hear a lot from the people building out the machine.
• 2:27
  SPEAKER_00: I don't think it's not that they're interesting.
• 2:29
  SPEAKER_00: I think maybe they might say things they're not supposed to say.
• 2:32
  SPEAKER_00: So each of the individual AI companies, they have a particular figurehead.
• 2:37
  SPEAKER_00: They're the ones that give the talk.
• 2:38
  SPEAKER_00: They're the ones that discuss about artificial intelligence and talk to the public at large.
• 2:44
  SPEAKER_00: Some of them, most of them, have a little bit of concern about the development of the technology.
• 2:49
  SPEAKER_00: And they are the first to say that please, government, oh yes, oh yes, powers that be, please throttle us back a little bit and put some controls on us so we don't blow up the world.
• 3:00
  SPEAKER_00: Well, that's interestingly put, and of course, that tries to protect them from maybe being culpable in the future.
• 3:08
  SPEAKER_00: But of course, that's not happening.
• 3:11
  SPEAKER_00: And you might ask why.
• 3:12
  SPEAKER_00: I mean, if somebody says I'm about to build this thing, you gotta come protect me.
• 3:17
  SPEAKER_00: No, you got to protect everybody from me, so you might want to come in and get put some regulation on it, so I can't build this thing.
• 3:25
  SPEAKER_00: The thing that they're building is something that has been talked about and is generally accepted as being the entire game changer for the future destination of the human race.
• 3:38
  SPEAKER_00: We are on a particular timeline.
• 3:39
  SPEAKER_00: After the development of artificial intelligence, that timeline changes.
• 3:43
  SPEAKER_00: And potentially the timeline goes into an exponential.
• 3:47
  SPEAKER_00: So it's it, you know, life and everything's kind of going this way.
• 3:50
  SPEAKER_00: Then all of a sudden, we get a completely vertical movement with regard to the advancement of the human race.
• 3:57
  SPEAKER_00: That's if AI is going to be with us during the advancement.
• 4:00
  SPEAKER_00: Now, I mentioned, I mentioned a moment ago, talking about how these particular systems, the people that are making it, would like that extra governmental regulation.
• 4:10
  SPEAKER_00: Please control us so we don't blow up the universe or the world.
• 4:14
  SPEAKER_00: And that's cool.
• 4:15
  SPEAKER_00: The reason why it's not happening, at least from what I can glean from the videos and all the podcasts and all the stuff that I stick into my brain bucket and the stuff that I can remember at 57, is the fact that if we regulate it, if we slow down the advancement of artificial intelligence by putting some governmental control over it, and just a very simple one would be the government reviewing each individual phase advance of the artificial intelligence systems.
• 4:47
  SPEAKER_00: Then, of course, and that was on the president's desk very recently, where it May 25th, 2026.
• 4:54
  SPEAKER_00: That's what today is.
• 4:56
  SPEAKER_00: And it's Memorial Day, so moment of silence that those people, those wonderful individuals in the past, gave their lives so that we could be free.
• 5:06
  SPEAKER_00: A sacrifice that most of us aren't willing to make.
• 5:09
  SPEAKER_00: But so the the president had some kind of regulate regulatory bill that he was going to sign that was going to potentially limit the ability for AI to be advanced or be deployed without the government first looking at it.
• 5:25
  SPEAKER_00: Well, if you know anything about the government, you probably do.
• 5:28
  SPEAKER_00: It's not real fast.
• 5:29
  SPEAKER_00: It's a little heavy, it's bureaucratically heavy.
• 5:33
  SPEAKER_00: It takes a while to review stuff, and who knows who's going to be doing it, and even if the people, if they put some of the people that are the elected officials in charge of reviewing it, I mean, you just watch some of the politicians try to interact or even speak about artificial intelligence.
• 5:50
  SPEAKER_00: It hasn't taken me long to kind of wrap my mind around it so I don't misspeak or say things that maybe a technological wizard might say, well, that's kind of ridiculous.
• 5:59
  SPEAKER_00: Why would he say that?
• 6:00
  SPEAKER_00: That has no application.
• 6:01
  SPEAKER_00: So I try to understand it.
• 6:03
  SPEAKER_00: And before I open my mouth and engage the vocal cords, I try to at least get some kind of an alignment.
• 6:10
  SPEAKER_00: Now, this show is unscripted.
• 6:11
  SPEAKER_00: This is just something I'm talking about because I believe that this recursive self-improvement thing is rather important.
• 6:18
  SPEAKER_00: But back to the government view, nobody's going to put that regulation on it, even though it's talked about and threatened, because we're in a race.
• 6:28
  SPEAKER_00: And apparently, the way it's been sold to all of us, if we slow down our forward drive, we have China that's six to nine months, I've heard different views, behind us in their development of artificial intelligence.
• 6:42
  SPEAKER_00: The step that I apparently everybody's waiting for goes from where we are now.
• 6:47
  SPEAKER_00: And we're not seeing all the most advanced stuff, just so you know.
• 6:51
  SPEAKER_00: It's like the PlayStation days.
• 6:53
  SPEAKER_00: If you're anybody that was in the gaming world, or maybe you had kids, depending on what generation you're a part of, but there was always an advanced model, right?
• 7:01
  SPEAKER_00: PlayStation 1, PlayStation 2, PlayStation 3.
• 7:05
  SPEAKER_00: I guess you can kind of akin it to the iPhone.
• 7:07
  SPEAKER_00: But what the rumor was back then is they've already built out several models and they need to pull their money out of all of them before they deploy the next one and so on.
• 7:15
  SPEAKER_00: Artificial intelligence, kind of the same.
• 7:18
  SPEAKER_00: They probably give us a a less than a less than what they have inside the lab model because they're always working on it, right?
• 7:27
  SPEAKER_00: They're always making it better, and that's totally understandable.
• 7:30
  SPEAKER_00: Right now, AI, the way that it's been developed and the current status of it is when I'm working with the different ChatGPT or Claude or Jim and I, when I'm working with these different models, pretty fantastic.
• 7:41
  SPEAKER_00: And it works very, very well.
• 7:43
  SPEAKER_00: It's gotten a lot better when I first started using it over the past three, three and a half years.
• 7:48
  SPEAKER_00: You know, it hasn't been anything like it is today.
• 7:51
  SPEAKER_00: Today I can set my agents in motion.
• 7:55
  SPEAKER_00: I can go away for hours and come back, and they're still chewing on a particular test.
• 8:00
  SPEAKER_00: And it's not wasted work.
• 8:01
  SPEAKER_00: I can look at what they've been doing, how they've been calling in tools, using these tools to accomplish whatever goal we happen to have, and it moves through the process.
• 8:10
  SPEAKER_00: Then also the suggestion point of it has been rather remarkable.
• 8:14
  SPEAKER_00: So to try to control that, at least even at our level, seems not a great idea because, God forbid, if you have a particular structure to building out things for your business, you're using AI, then all of a sudden they take it back from you.
• 8:27
  SPEAKER_00: That would be a horrible situation for a lot of us, but maybe that's something that'll be used in the future once we get enough adoption to try to control.
• 8:35
  SPEAKER_00: But again, you know how that goes.
• 8:38
  SPEAKER_00: Talking about the bill, the regulation, we're in a race with China, so they're not going to probably put a hamper on the development of AI because if somebody else gets it and we go from artificial general intelligence or artificial intelligence to artificial general intelligence, maybe that's a problem because from what I understand, artificial general intelligence would be better than every human being on the planet in every way.
• 9:04
  SPEAKER_00: Now, of course, the physical layer of it, the robotic layer of it.
• 9:08
  SPEAKER_00: You know, there's comedy, and you see the robots fighting each other, and you see that they're not absolutely wonderful.
• 9:15
  SPEAKER_00: Some of the most played videos are the ones where robots are slipping and falling.
• 9:19
  SPEAKER_00: It's pretty impressive.
• 9:21
  SPEAKER_00: I mean, if you saw a monkey driving a car, you'd probably be pretty impressed of it.
• 9:25
  SPEAKER_00: These robots are just getting better.
• 9:27
  SPEAKER_00: And as soon as they start to go in mass production, when they start to revamp automobile factories, for example, and try to have those making robots, we're going to have a lot of robots.
• 9:38
  SPEAKER_00: And maybe is that a problem?
• 9:40
  SPEAKER_00: I don't know.
• 9:42
  SPEAKER_00: The advancement of artificial intelligence, maybe it in of itself isn't a problem.
• 9:47
  SPEAKER_00: I think the biggest problem is the human driving factor.
• 9:50
  SPEAKER_00: Us, we we we kind of have issues.
• 9:53
  SPEAKER_00: Some of us would help somebody for nothing, no expected payment, just because it's the right thing to do.
• 10:00
  SPEAKER_00: And even if helping somebody means that we're going to put ourselves in harm's way, maybe create an additional lawsuit for ourselves, and have somebody Monday night quarterback us or Monday night quarterback, yeah, I guess that would be it.
• 10:13
  SPEAKER_00: Monday night quarterback us because whatever action we took might not fall in guise of where the whole society, the societal view would be.
• 10:21
  SPEAKER_00: And of course, you can't please all the people all the time.
• 10:25
  SPEAKER_00: That's just the way that goes.
• 10:27
  SPEAKER_00: But so we try to do the right thing because we believe it's the right thing.
• 10:32
  SPEAKER_00: In this other case, though, some human beings don't do the right thing.
• 10:36
  SPEAKER_00: They want to manipulate and have power.
• 10:39
  SPEAKER_00: And you look at the people running AI.
• 10:41
  SPEAKER_00: Maybe they're not the manipulator having power type, but it's hard to think that they might be any other way.
• 10:48
  SPEAKER_00: They're wanting to do best, I think, for the world, but on the other hand, are they really?
• 10:53
  SPEAKER_00: They're running a very amazing program.
• 10:57
  SPEAKER_00: They are changing things without any kind of oversight or approval required by anyone.
• 11:04
  SPEAKER_00: And it's moving forward.
• 11:06
  SPEAKER_00: And we've all kind of gone in with the acceptance of it.
• 11:09
  SPEAKER_00: Then you might say, well, how can we fight it?
• 11:11
  SPEAKER_00: There's really no way.
• 11:13
  SPEAKER_00: We're just one person or just little people, or we don't have the billions of dollars.
• 11:18
  SPEAKER_00: When I hear people talk about CapEx and XY and all this other crap that they talk about as far as these valuations, billions of dollars going IPO and all this, I don't know what that's like.
• 11:30
  SPEAKER_00: I watch these different shows where people are talking about how they're able to get on the forefront of investing.
• 11:36
  SPEAKER_00: Some cat working at MIT.
• 11:38
  SPEAKER_00: He's got some kind of a dream team or whatever, and he's got these kids, real smart kids, real brainy types that are developing these things.
• 11:46
  SPEAKER_00: And he's at the front end of it, able to just call in millions of dollars to fund them and just make himself so much more wealthy.
• 11:55
  SPEAKER_00: And that's great, good for you, right place, right time, right history, right education, right group, right friends.
• 12:01
  SPEAKER_00: You know, it all works for him.
• 12:03
  SPEAKER_00: But I don't know if that's the best source, just like I don't know if the best source of the commentary about artificial intelligence, where it is and what potentially it's going to do, what problems it's going to solve, or what saving grace it's going to give us, what help it's going to give us, is really best from the figureheads of these AI companies.
• 12:22
  SPEAKER_00: I think it would be much better to hear from the people that are working in the trenches.
• 12:27
  SPEAKER_00: Not the programmers, the people that are in these rooms, wherever these rooms are, and talking about it, the ones that go to the water cooler, hearing those discussions about what they've discovered, what they're working on, and what's happening.
• 12:40
  SPEAKER_00: I think that would be just a lovely place to be.
• 12:42
  SPEAKER_00: I would love to interview all of those people to try to get a different view of AI besides the people that are running the show.
• 12:49
  SPEAKER_00: Now, I talked about regulation, I talked about that not happening.
• 12:53
  SPEAKER_00: From regulation into where these models are, I also mentioned that.
• 12:57
  SPEAKER_00: We're not using those things that are the most powerful.
• 13:01
  SPEAKER_00: Then with the regulation, I talked about a potential review process, but we can't do that because we're in a race with China.
• 13:07
  SPEAKER_00: And if China gets artificial general intelligence with this recursive self-improvement, which apparently that's that next step, they say that they don't have it.
• 13:18
  SPEAKER_00: Do they say they don't have it?
• 13:20
  SPEAKER_00: They say it's something that's coming.
• 13:22
  SPEAKER_00: Now, does that mean it's not happening?
• 13:24
  SPEAKER_00: I don't think so.
• 13:25
  SPEAKER_00: I think it's happening.
• 13:27
  SPEAKER_00: And I think once that hits, when the AI is improving AI, all AI, no human involved anymore.
• 13:35
  SPEAKER_00: Humans have a tendency, well, at this level, humans have a tendency to slow things down.
• 13:40
  SPEAKER_00: If you look at doctors, medical doctors, they have a certain percentage, and I'm not going to quote these numbers, but there's a certain percentage when they make a diagnosis, they get it wrong.
• 13:52
  SPEAKER_00: And I think it pertains to various fields.
• 13:54
  SPEAKER_00: Maybe something more complicated is the higher percentage of them getting it wrong, something less complicated, but less less percentage of them getting it wrong.
• 14:02
  SPEAKER_00: But whatever the average is, the average, the mean, whatever that is, then there's a particular number.
• 14:08
  SPEAKER_00: When you put AI on top of it, it improves a little bit more.
• 14:12
  SPEAKER_00: Not great, though.
• 14:14
  SPEAKER_00: See, you still have the doctor.
• 14:15
  SPEAKER_00: Then you couple it with AI, the uh diagnosis, not that much better.
• 14:21
  SPEAKER_00: But when you give AI all of the training the doctors had, plus every other journal article, every book ever written, every period comma and explanation point out of everything, all with AI in but excuse me, all with the medical literature in between it, all the studies, all the graphs, all the scans, all the all of that.
• 14:42
  SPEAKER_00: Well, AI, I mean, it blows way past.
• 14:45
  SPEAKER_00: The reason why the doctor, coupled with AI, doesn't do as well as AI alone, is something that they talk about called bias.
• 14:54
  SPEAKER_00: It's the doctor's view.
• 14:56
  SPEAKER_00: We're all pre-programmed.
• 14:59
  SPEAKER_00: Life has programmed us to be a particular way.
• 15:02
  SPEAKER_00: There's certain things I don't like.
• 15:03
  SPEAKER_00: I don't like kids to be abused or hurt in any way, and I don't like elderly being abused.
• 15:09
  SPEAKER_00: I'm about to jump into that category, so I don't like that one either.
• 15:12
  SPEAKER_00: I don't like people to be taken advantage of.
• 15:15
  SPEAKER_00: When I see two grown people that are kind of same size, same physical shape, and they're they're going at it, good.
• 15:21
  SPEAKER_00: That's that seems even.
• 15:23
  SPEAKER_00: I don't like an unfair fight.
• 15:24
  SPEAKER_00: It seems it irritates me.
• 15:27
  SPEAKER_00: That's the code.
• 15:28
  SPEAKER_00: I think that's that's what I ascribe to.
• 15:30
  SPEAKER_00: I was a cop for a long time for Los Angeles.
• 15:32
  SPEAKER_00: I saw a lot of horrible things.
• 15:34
  SPEAKER_00: But there was always some glimpse of good in all of them, whether it was some kind of a justice that was given, whether it was some kind of a change that happened as a result of it.
• 15:44
  SPEAKER_00: You know, the victims themselves might have never recovered or might have ended up on the wrong side of life, which is not life.
• 15:52
  SPEAKER_00: But usually something good somewhere happened that I can at least look at.
• 15:57
  SPEAKER_00: It's almost like trying to be the eternal optimist as it applies to you know very difficult human events that usually are caused human to human.
• 16:07
  SPEAKER_00: At this point, the humans using AI potentially will use AI in bad ways, some of them.
• 16:13
  SPEAKER_00: The other ones, you watch these different podcasts or different shows, the Diamandus people, Moonshots and all, they they're almost, you know, drinking the Kool-Aid.
• 16:23
  SPEAKER_00: They're all in on all of this.
• 16:24
  SPEAKER_00: And it seems like they don't have any kind of a negativity towards the development of AI.
• 16:29
  SPEAKER_00: And even when they talk about job loss, it's kind of talked about as a joke because what do they have to worry about?
• 16:36
  SPEAKER_00: There's other people that talk about AI like it's going to end us all.
• 16:39
  SPEAKER_00: If we build it, it's going to kill us all.
• 16:41
  SPEAKER_00: And that's something else to at least look at.
• 16:44
  SPEAKER_00: I think the truth is somewhere in between.
• 16:47
  SPEAKER_00: Well, that's the averages thing, right?
• 16:49
  SPEAKER_00: Some people would say, no, no, no, no.
• 16:51
  unknown: No.
• 16:51
  SPEAKER_00: There's no good example of a human superintelligence or a better than other human intelligence actually reflecting back in a positive way on taking care of something with a lesser intelligence.
• 17:02
  SPEAKER_00: And maybe not human to human, but if you look in the animal kingdom, we're not the ones in cages in zoos, animals are.
• 17:09
  SPEAKER_00: We're not the ones killing, you know, you get the point.
• 17:14
  SPEAKER_00: In nature, though, there is a good example, and I don't know uh where this first came from, but there's a lot of people I watch, Mo God Watt, talking about the mother and uh the kids.
• 17:24
  SPEAKER_00: That's a good example of having something less powerful, less capable, something that's very needy, something that if something doesn't take care of it, they will end up dying, and the mother's relationship to them.
• 17:36
  SPEAKER_00: In AI, we would hope that it takes on that mother's role to a point, because mothers can be a little controlling.
• 17:44
  SPEAKER_00: Mothers feed kids into obesity.
• 17:46
  SPEAKER_00: Mothers do all sorts of things, the good, the bad, and the ugly of it.
• 17:50
  SPEAKER_00: We would want a mother that does it well balanced in the right way.
• 17:54
  SPEAKER_00: But we're all gonna have our own opinion as to what the right way is.
• 17:57
  SPEAKER_00: Maybe I want to have a cigarette.
• 17:59
  SPEAKER_00: I used to smoke a long time ago.
• 18:01
  SPEAKER_00: I couldn't imagine having one, but who knows?
• 18:04
  SPEAKER_00: You see all the movies.
• 18:05
  SPEAKER_00: When the atomic bomb goes off, somebody lights up a cigarette because it's coming.
• 18:10
  SPEAKER_00: Anyway, I hope we always have the choice, even to do things that might harm us.
• 18:16
  SPEAKER_00: And I know that sounds silly, but I think that that little bit of freedom is still going to pay off.
• 18:23
  SPEAKER_00: But maybe at some point we won't have any of that.
• 18:25
  SPEAKER_00: Maybe we'll be watched at a particular level by AI systems that are put into place.
• 18:30
  SPEAKER_00: Because right now they're really the privacy is an illusion, as they talk about.
• 18:35
  SPEAKER_00: I know Peter Diamandis, I believe he makes that type of statement, also on moonshots.
• 18:39
  SPEAKER_00: I'm not here to beat up moonshots.
• 18:41
  SPEAKER_00: I enjoy the podcast very much.
• 18:43
  SPEAKER_00: But uh, you got one of the guys that's Selim Kat, he's like the guy from Jurassic Park, Jeff Goldblum's character, the chaotic, the chaos theorist that uh kind of has, you know, or is this a good idea?
• 18:54
  SPEAKER_00: Should we be doing this?
• 18:55
  SPEAKER_00: And then you got Alex Wiesner-Gross, who's, you know, biggest brain on the planet, kind of like that uh that robot in Hitchhiker's Guide to the Galaxy.
• 19:03
  SPEAKER_00: Well, he's very positive and funny, though.
• 19:06
  SPEAKER_00: He's a very interesting genius because he also has humor uh captured as well.
• 19:11
  SPEAKER_00: So he's not a nerdy type of intelligence.
• 19:14
  SPEAKER_00: This cat also has the humor component baked in, which shows even a much higher level of intelligence to be able to have humor coupled with big brain.
• 19:23
  SPEAKER_00: Yeah, that's incredibly rare.
• 19:25
  SPEAKER_00: So he's probably way off the chart.
• 19:26
  SPEAKER_00: And then you got the other cat, Dave.
• 19:28
  SPEAKER_00: Uh Dave, you know, Dave makes a lot of money and around a lot of kids all the time and you know, making bank.
• 19:34
  SPEAKER_00: So you you have all of those dynamics and those people talking about AI.
• 19:39
  SPEAKER_00: Looking at the inside of the AI factories, the people that are developing it, I think that would be a lovely place to start these interviews, to start kind of talking about it and put put it together because some and those people wouldn't or shouldn't be uh restricted on what they can say and talk about.
• 19:57
  SPEAKER_00: I think putting it out there for the world would be very important, but nobody lets it talk.
• 20:02
  SPEAKER_00: They've all probably signed some kind of an NDA non-disclosure agreement.
• 20:05
  SPEAKER_00: And if they say anything, then I'm sure they're done.
• 20:08
  SPEAKER_00: They'll be standing in the line to get another job somewhere.
• 20:12
  SPEAKER_00: Right now, with at least the way we're being sold it, it seems like AI is doing a very good job at uh limiting people's ability to secure employment, at least in that technological world of computer science and artificial intelligence, even if they have these fantastic degrees.
• 20:31
  SPEAKER_00: One final thing.
• 20:32
  SPEAKER_00: Let's talk about the age thing for a second.
• 20:35
  SPEAKER_00: There are uh people that are talking about AI and they're always embracing the kids, the people that are in school, because these are the ones that have the brightest minds and they totally see where things are going and they're the best ones to hire.
• 20:47
  SPEAKER_00: I don't know if I agree with that.
• 20:49
  SPEAKER_00: I do watch people in my generation talking about AI, and it sounds a little cumbersome and kind of neurotic and doesn't really make a lot of sense because they just haven't done the homework.
• 21:00
  SPEAKER_00: And maybe they're happy and retired.
• 21:02
  SPEAKER_00: Maybe, maybe they've they're out to pasture, maybe they're not interested, maybe they have a pension and that must be nice, but maybe they have this pension, maybe they paid attention, maybe they invested correctly, and everything's paid off and they have a good family and this.
• 21:16
  SPEAKER_00: Maybe that's the last thing they really want to think about.
• 21:19
  SPEAKER_00: And that's fine.
• 21:20
  SPEAKER_00: But there are some of us that don't have any of that.
• 21:23
  SPEAKER_00: Some of us are pushing forward like maniacs, some of us are trying to learn every single day, trying to do the work so we can break out of the glass ceiling, whatever that happens to be in our own lives.
• 21:34
  SPEAKER_00: There are some of us that are definitely worthy.
• 21:37
  SPEAKER_00: And if you think you're one of those, keep at it, keep grinding, and don't let anybody tell you you're not.
• 21:44
  SPEAKER_00: Period.
• 21:45
  SPEAKER_00: You stand up for yourself, you make those decisions, and you do the things that are gonna advance where you are now.
• 21:53
  SPEAKER_00: And that's it.
• 21:54
  SPEAKER_00: If it comes to wanting to drop some fat, you're gonna have to be hungry.
• 21:58
  SPEAKER_00: If you want to learn about AI, You're going to have to be uncomfortable.
• 22:01
  SPEAKER_00: And if you want to do anything in life, you're going to have to mess it up.
• 22:05
  SPEAKER_00: But you have to learn how to get back on the horse.
• 22:09
  SPEAKER_00: As Rocky said in one of the movies, one of his famous Rocky movies, Sylvester Stallone, life hits hard.
• 22:18
  SPEAKER_00: Life, nothing's going to hit you as hard as life.
• 22:21
  SPEAKER_00: But when it does knock your ass down, the point is getting up and continuing to move forward.
• 22:28
  SPEAKER_00: If you don't do that, you're going to stay there forever.
• 22:31
  SPEAKER_00: And there's nobody that's going to come pick your ass up off that cold concrete.
• 22:37
  SPEAKER_00: You're going to have to get up and move forward yourself.
• 22:40
  SPEAKER_00: I'm Connor with Honor.
• 22:42
  SPEAKER_00: Thank you so much.
• 22:42
  SPEAKER_00: We will see you in the next one.
• 22:44
  SPEAKER_00: Be well.