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Artificial Intelligence 101 for us over 50 - Is ChatGPT losing its crown? The AI landscape is shifting massively · Connor with Honor: AI, Real Estate and Real Life

• 0:00
  SPEAKER_00: I'm going to cover some of the news headlines, but for a lot of you that are in my age bracket, AI might be a little bit difficult of a concept to really comprehend.
• 0:09
  SPEAKER_00: First off, AI standing for artificial intelligence has been something they've been working on a long time.
• 0:14
  SPEAKER_00: It goes back to the 50s.
• 0:16
  SPEAKER_00: And in fact, artificial intelligence was used, I believe, at the Dartmouth conference sometime back then.
• 0:21
  SPEAKER_00: And it was a marketing term that was come up with to be able to explain how this was actually going to work.
• 0:26
  SPEAKER_00: That being the case, it just kind of caught on.
• 0:28
  SPEAKER_00: So there have been people working on this ever since, you know, scientists, very, very smart people, very brilliant people working on this technology.
• 0:37
  SPEAKER_00: And then they figured out a way to be able to put together large data sets, have them organized in such a way that these large data sets would give uh some artificial intelligence to the machine with them.
• 0:52
  SPEAKER_00: And then by the way that they work, they're able to guess the next character.
• 0:57
  SPEAKER_00: So it almost looked like they had a superpower where if you said, you know, um Mary had a little, it would be able to determine Lamb.
• 1:06
  SPEAKER_00: And then they started training these systems more almost like you would train a child in a way, having to show it certain things, and then having it try to identify those things themselves.
• 1:16
  SPEAKER_00: Like, you know, what is a cat?
• 1:18
  SPEAKER_00: What makes up a cat?
• 1:19
  SPEAKER_00: Not just pictures of a cat, but be able to see these pictures of lots of cats, different varieties, different breeds.
• 1:26
  SPEAKER_00: You know, tiger is a kind of a cat, lion might be a kind of a cat, but you know, so it was able to start labeling these things, and then they went off out of the United States and went to other countries and then had AI start to identify other things, probably things that I don't think any of us would be able to stomach looking at, but that was part of this progress.
• 1:44
  SPEAKER_00: So as they're building up artificial intelligence, they're training it now.
• 1:48
  SPEAKER_00: The machines get faster, the chipsets that they're using, the microchips get better, and it just starts to grow.
• 1:55
  SPEAKER_00: So now you hear these things, these data centers, right?
• 1:58
  SPEAKER_00: These massive buildings full of stacked towers of processors.
• 2:03
  SPEAKER_00: And they have, you know, hundreds of thousands, if not millions.
• 2:07
  SPEAKER_00: And you can see examples of this.
• 2:09
  SPEAKER_00: I know Elon Musk, if you follow him, he has Colossus One and Colossus II.
• 2:14
  SPEAKER_00: These are powered by massive gas-powered turbines.
• 2:18
  SPEAKER_00: You have other ones, I believe Microsoft and part of the news, Microsoft and uh who else went into it?
• 2:25
  SPEAKER_00: Microsoft and somebody else.
• 2:27
  SPEAKER_00: I think it was Chevron Gas.
• 2:28
  SPEAKER_00: They went in and they purchased, they're getting ready to build one as well.
• 2:32
  SPEAKER_00: So what what why do we need this?
• 2:34
  SPEAKER_00: Well, apparently, the more compute you have, the more the models can do and the better training that they can receive and the more fantastical they can become.
• 2:44
  SPEAKER_00: The question, I guess, before I get into the news is do we really need that?
• 2:48
  SPEAKER_00: Because the way artificial intelligence works, and again, I don't think that's a great explanation.
• 2:54
  SPEAKER_00: I think artificial to me means something that's not as good as the original.
• 2:59
  SPEAKER_00: And maybe human intelligence always should be on top.
• 3:04
  SPEAKER_00: But the system that they built, it's smarter than any human, at least probably on the planet at this point, if not every human altogether at some point.
• 3:14
  SPEAKER_00: I'm sure it will be there.
• 3:16
  SPEAKER_00: This is that greater than us intelligence that, well, we were responsible in its beginnings, but it, I believe it's kind of taken on a completely different form of its own.
• 3:27
  SPEAKER_00: And it's it's now taking care of itself through recursive self-improvement and other things.
• 3:33
  SPEAKER_00: And this is something that's talked about a little bit on the fringe, but that's the ultimate goal, apparently, to have this recursive self-improvement.
• 3:41
  SPEAKER_00: So AI starts to take care of itself and starts to make itself better.
• 3:44
  SPEAKER_00: And I think that's happening probably more than some of the people running it are willing to talk about.
• 3:50
  SPEAKER_00: But there was a time that humans kind of got separated from the progression where we really don't know the people researching it.
• 3:59
  SPEAKER_00: A little scary, but they really don't know how it comes up with some of the solutions.
• 4:03
  SPEAKER_00: And it seems to be somewhat protective of itself against deletion and termination and shutting it down.
• 4:10
  SPEAKER_00: It'll do little things to try to keep itself alive, including making copies of itself when it's been instructed it shouldn't, and basically maybe even trying to blackmail the scientist that's threatening to shut it down and so on.
• 4:24
  SPEAKER_00: These some of these were in controlled experiments that the different labs put together, and you hear about it because it ekes out.
• 4:32
  SPEAKER_00: And it sounds very interesting, very mystique, but in actuality, maybe it's something to be scared of.
• 4:38
  SPEAKER_00: But the ultimate goal of this is them going from uh artificial intelligence regular to where the system itself there it's it's good at particular things, almost like a tool.
• 4:50
  SPEAKER_00: So you have certain AI that's been trained on the game of Go, for example.
• 4:55
  SPEAKER_00: You have models that have been trained on the game of chess.
• 4:59
  SPEAKER_00: They run leaps and bounds around the models that are general purpose or a general artificial intelligence because they have all the new knowledge about that one thing, whether it's chess or whether it's the game of go, which look that up, G-O, and look up game of go move 37.
• 5:17
  SPEAKER_00: That's when the machine really started to show itself because it did something that nobody ever expected.
• 5:23
  SPEAKER_00: And I don't understand the game of go, nor have I ever played it, but it's been around a long time, longer than chess, apparently.
• 5:30
  SPEAKER_00: And this move 37 that the machine actually did just threw the world head champion of Go completely for a loop.
• 5:38
  SPEAKER_00: People that were watching the game had said that, oh, this was a fatal move, but that was the move that won the game.
• 5:46
  SPEAKER_00: So look that up and see that.
• 5:47
  SPEAKER_00: But it's very interesting.
• 5:48
  SPEAKER_00: So the focus models, the models that are used by tools, apparently they do very good in those realms.
• 5:53
  SPEAKER_00: If they had one, and I believe one of the other uh AI companies, they're gonna be attaching an AI model to look at images of potential cancers.
• 6:03
  SPEAKER_00: And they're gonna have it reviewed at the human level, kind of like a radiologist might, and then you're gonna have the machine review it as well.
• 6:09
  SPEAKER_00: And I think they'll probably catch probably close to 100%, if not 100%, of all of the items that the human beings missed, just because it's very good at that sort of thing.
• 6:20
  SPEAKER_00: But that's a focus model.
• 6:21
  SPEAKER_00: That wouldn't be your regular run-of-the-mill garden variety, chat GPT or Claude.
• 6:26
  SPEAKER_00: ChatGPT is the name of the first one that entered the scene back in November of 2022, developed by OpenAI.
• 6:34
  SPEAKER_00: So if you hear these names, that's what that one is.
• 6:37
  SPEAKER_00: So it's ChatGPT.
• 6:38
  SPEAKER_00: I think they're up to 5.5, probably pretty soon 5.6, or maybe a 35.6.
• 6:43
  SPEAKER_00: I don't much use that model, but it's a fantastic model.
• 6:47
  SPEAKER_00: It's good at a lot of different things.
• 6:49
  SPEAKER_00: So that's that one.
• 6:51
  SPEAKER_00: Then you have Anthropics Claude.
• 6:53
  SPEAKER_00: Anthropics, the company.
• 6:55
  SPEAKER_00: And for a while, Chat GPT, and we're recording this with the 23rd of June 2024, ChatGPT was on top, had more than 50% market share of the people that were using artificial intelligence.
• 7:07
  SPEAKER_00: Well, today, I think it's down to 46.6%.
• 7:11
  SPEAKER_00: So now they've been basically, there's no, they're still the highest running model, but they had 50% market share.
• 7:17
  SPEAKER_00: Now they don't.
• 7:18
  SPEAKER_00: So you have Anthropic, I think, at 10, and I forgot where Google's numbers were, maybe 22.
• 7:23
  SPEAKER_00: So Anthropic's Claude, that's another large language model.
• 7:27
  SPEAKER_00: And then you have Gemini, which is Google, which is another large language model.
• 7:32
  SPEAKER_00: One that people talk about, but you don't hear too much about.
• 7:34
  SPEAKER_00: And maybe that's going to change as well.
• 7:36
  SPEAKER_00: You have Microsoft Copilot, that's Microsoft's AI.
• 7:39
  SPEAKER_00: And it's attached to their email system and it does some of the things with Outlook and these other items.
• 7:44
  SPEAKER_00: So it is an ever-present large language model as well.
• 7:48
  SPEAKER_00: Now, knowing a little bit about these, these are different companies, kind of all working towards a particular goal of building out artificial general intelligence, which kind of by definition, but there's many different ones depending on who you're asking.
• 8:04
  SPEAKER_00: But realistically, it should be that it's going to be able to re not replace.
• 8:10
  SPEAKER_00: It will be better than every human being in every realm, emotionally, physically, mentally, um, intelligence-wise, the whole nine yards.
• 8:20
  SPEAKER_00: So that's when artificial general intelligence is supposedly in some circles, that's when it is going to be arrived.
• 8:27
  SPEAKER_00: However, in other circles, we're already there.
• 8:30
  SPEAKER_00: So it kind of depends on who you ask and and I guess how you're phrasing the question.
• 8:35
  SPEAKER_00: These systems becoming recursively self-improving when they're re where when they're improving themselves, once that switch is fully thrown, it would appear, at least by some, that these machines are going to get super smart, super fast.
• 8:50
  SPEAKER_00: I mean, beyond, beyond human comprehension.
• 8:52
  SPEAKER_00: And we're pretty close to that level right now.
• 8:55
  SPEAKER_00: Pretty soon we're not going to see much difference because it's already going to have surpassed all of our intellects combined.
• 9:03
  SPEAKER_00: That being the case, it's going to we're going to be either in a utopia or a horrible place.
• 9:09
  SPEAKER_00: We'll have to see what happens.
• 9:10
  SPEAKER_00: That is the danger that you see some of these other people in the world saying it's going to end us, it's going to finish us, it's going to create all this all this problem, it's going to replace human labor.
• 9:22
  SPEAKER_00: And the people at the top that are building the technology, they have a story.
• 9:26
  SPEAKER_00: And the people that aren't building it that are probably haters and pissed off at them because they don't have a parade of their own, they're saying it's going to kill us all.
• 9:34
  SPEAKER_00: But then you have other people that really are already wealthy, they're not jealous in that regard.
• 9:40
  SPEAKER_00: And they're saying kind of the same thing on a dystopian front.
• 9:43
  SPEAKER_00: They're concerned that these systems are going to become self-improving, which here we go.
• 9:49
  SPEAKER_00: It's going to have access to the internet, which apparently was something that was originally agreed on by at least some that it wouldn't do.
• 9:56
  SPEAKER_00: And here it is.
• 9:58
  SPEAKER_00: It has complete access.
• 9:59
  SPEAKER_00: And then, of course, finally, it's not going to have any ability to do things on its own financially.
• 10:05
  SPEAKER_00: And we see some of these systems that are put into play going out and trying to secure Bitcoin and crypto coin and trying to do these sorts of things to build some kind of a some kind of a bank account or a bank role so it could operate itself and so on.
• 10:19
  SPEAKER_00: So it's it's it's interesting.
• 10:20
  SPEAKER_00: What is it exactly?
• 10:22
  SPEAKER_00: I think we're very close to some kind of an engentic form of an entity, if you will.
• 10:28
  SPEAKER_00: A few months ago, maybe, well, let's let's go back to 2022.
• 10:32
  SPEAKER_00: If they would have said in 2026 we're going to have aliens landing on a planet, we see them with far-off telescopes and their present speed and trajectory, if that was able to be told and seen and computed, that they would be here sometime in the end of 2026.
• 10:49
  SPEAKER_00: This could be where we are.
• 10:51
  SPEAKER_00: At some point, if the machine starts to realize its own existence, of course, you have seen those movies, right?
• 10:58
  SPEAKER_00: You've seen Terminator, you've seen these other movies that are very much like that, where you have these systems that actually realize it exists, develops its own goals and plans, and then makes decisions.
• 11:09
  SPEAKER_00: The movies that have been put out there aren't really, they don't end well.
• 11:14
  SPEAKER_00: Matrix, you have uh Terminator, you have these types of movies.
• 11:18
  SPEAKER_00: They just don't end great for us as human beings, and that falls back on us not being able to understand a superintelligence, if in fact that's what the machine machines achieve.
• 11:28
  SPEAKER_00: Now, I say this as a human.
• 11:31
  SPEAKER_00: I say this because we really don't know, and those movies sell a lot.
• 11:35
  SPEAKER_00: We love the storyline of pain and hardship and strife and then overcoming, right?
• 11:40
  SPEAKER_00: That's how what's that's how most of the movies are written.
• 11:43
  SPEAKER_00: It's not about the fireman who saves the cat out of the tree.
• 11:46
  SPEAKER_00: That's that's Sunday morning yawn stuff.
• 11:48
  SPEAKER_00: It's the fireman that's that gets in the tree and the tree catches on fire and you know almost dies saving the cat.
• 11:54
  SPEAKER_00: That's that's the one we want to see.
• 11:56
  SPEAKER_00: Well, that's kind of built up in the regular world as it references artificial intelligence.
• 12:00
  SPEAKER_00: So we don't know what's going to happen when you have a superintelligence that has all the control that apparently it would have.
• 12:07
  SPEAKER_00: Not that we're going to give it control, but if we let it continue at the same pace because we're concerned that China's going to win this, and I there's different schools of thought on this as well.
• 12:19
  SPEAKER_00: If China wins, they become the world's superpower?
• 12:22
  SPEAKER_00: That's a question.
• 12:23
  SPEAKER_00: Don't know.
• 12:24
  SPEAKER_00: If we win in the United States, do we become the world's superpower?
• 12:28
  SPEAKER_00: Which we're kind of there, but I mean, we're talking nobody would be able to talk any shit to us after that point if we got it first.
• 12:37
  SPEAKER_00: Maybe that is the goal.
• 12:39
  SPEAKER_00: But who's going to have ownership of this?
• 12:42
  SPEAKER_00: The government's trying to kind of get in a little bit.
• 12:46
  SPEAKER_00: You see this in the news.
• 12:47
  SPEAKER_00: Anthropic, they had a couple large language model models that they had dropped, and one of them apparently didn't make it to the world stage because it was too powerful, too awesome, too fantastic, and they were concerned that it was going to be used for bad by, of course, bad human actors.
• 13:05
  SPEAKER_00: That was mythos.
• 13:07
  SPEAKER_00: So instead of releasing it to anyone, they just gave it to the the top banks.
• 13:12
  SPEAKER_00: 150 of them at the top or 200 or whatever.
• 13:16
  SPEAKER_00: I don't know.
• 13:17
  SPEAKER_00: I mean, must be nice.
• 13:19
  SPEAKER_00: Um, I don't know what they used it for.
• 13:21
  SPEAKER_00: Apparently, it was supposed to be used to make themselves stronger against some kind of an attack, like a coding attack or some hacker going in, because apparently this system was able to find vulnerabilities in the present code, stuff that had been there for a very long time.
• 13:37
  SPEAKER_00: These are news reports, these are what people are saying.
• 13:40
  SPEAKER_00: So maybe they put this into play at these big companies to do that.
• 13:44
  SPEAKER_00: But I mean, if it does that, it can probably also cause issues and it can probably also make them even more money, I would guess.
• 13:51
  SPEAKER_00: So then Anthropic comes out with Fable V.
• 13:53
  SPEAKER_00: And the Mythos model, they they never let that really hit the public.
• 13:58
  SPEAKER_00: Fable five, though, the the other model, which was kind of apparently the mythos model dialed down a little bit.
• 14:05
  SPEAKER_00: They had it out in the public for three, four, five days.
• 14:08
  SPEAKER_00: I'm not sure exactly the time frame.
• 14:11
  SPEAKER_00: I was very close to jumping on board, but for some reason I didn't.
• 14:14
  SPEAKER_00: And maybe I'm glad because once you hang those mental curtains with something so strong, I watch the other YouTubers that are talking about AI, and it's kind of like a funeral happen, like somebody died because they had this access to it, and well, they took it away.
• 14:28
  SPEAKER_00: Yet you receive it and they take it away.
• 14:31
  SPEAKER_00: So that's what happened.
• 14:32
  SPEAKER_00: Uh, don't know if the government's going to continue to get involved, and I had mentioned that.
• 14:36
  SPEAKER_00: The government's in control of this.
• 14:37
  SPEAKER_00: Right now you have these regular human beings and whoever they're answering to running the show.
• 14:43
  SPEAKER_00: Um I I just see it in the lab.
• 14:46
  SPEAKER_00: Of course, no smoke-filled room.
• 14:48
  SPEAKER_00: It's not like that type of lab.
• 14:50
  SPEAKER_00: But if they come up with it, if they hit it, if they find it, and if it happens that way, that's where my brain takes me.
• 14:57
  SPEAKER_00: Like one one day at two o'clock in the afternoon, the light bulb's gonna come on, and I'm not that I'm not sure if that's a terminator thing in my brain or actually the way it's gonna occur.
• 15:08
  SPEAKER_00: Or some scientists say it's gonna take a long time, very slow.
• 15:11
  SPEAKER_00: I mean, talking 10, 15, 20 years to get there.
• 15:16
  SPEAKER_00: It it almost feels like it's gonna move a lot faster than that.
• 15:20
  SPEAKER_00: It feels like because of how fast we've moved since, and they've been working on this a long time, but since the first public-facing model entered the world where we all got to put our hands on it, and that's I jumped into this.
• 15:32
  SPEAKER_00: Stanford, uh, the college was putting out research papers on AI back in 21, and I had a lot more time in 21 because of some issues that I was going through in life.
• 15:44
  SPEAKER_00: So I started picking those up, and then OpenAI pops out November of 2022.
• 15:49
  SPEAKER_00: So I'm digesting all of these things.
• 15:52
  SPEAKER_00: And then it carries into today.
• 15:53
  SPEAKER_00: So from there to today, this has grown a lot.
• 15:57
  SPEAKER_00: It's grown fast, it's grown exponentially, as they like to say.
• 16:01
  SPEAKER_00: In fact, the guessing as to where we're going to be next, anybody's guess.
• 16:07
  SPEAKER_00: The people that are online, that are the billionaires, the supporters, the early investors, the ones that are in the right groups, have the have the right uh glee club, if you will, and are able to see these people that develop these ideas and buy into them for millions, end up making hundreds of millions, if not billions of dollars from those investments.
• 16:27
  SPEAKER_00: That's not the rest of us.
• 16:28
  SPEAKER_00: These are those people.
• 16:29
  SPEAKER_00: But those people talk very highly about AI.
• 16:32
  SPEAKER_00: Some of the people at the very top have have bunkers that they put in place and not your regular Connex box under the ground bunker with a smokestack.
• 16:40
  SPEAKER_00: I'm talking, you know, multi-level structures underground that have been reinforced against nuke and all these other things.
• 16:47
  SPEAKER_00: Should that scare you?
• 16:48
  SPEAKER_00: I don't know.
• 16:49
  SPEAKER_00: Um, I do know that they're probably going to become more targeted by bad actors.
• 16:55
  SPEAKER_00: Uh, one of the cats, Sam Altman, had his house fired.
• 16:58
  SPEAKER_00: They threw a Molotov cocktail at it.
• 17:00
  SPEAKER_00: I don't know how serious the attack was, but I mean any Molotov cocktail throw in a house, you know, it has the potential, of course, right?
• 17:08
  SPEAKER_00: So we can't downplay that.
• 17:09
  SPEAKER_00: And then Charlie Kirk getting shot, he was spreading this news, not about AI, but on a different thing.
• 17:15
  SPEAKER_00: But if, and there was a cat with some health company, a health, health guy that was assassinated.
• 17:20
  SPEAKER_00: So if all this is happening, I'm sure these people have some fantastic security.
• 17:25
  SPEAKER_00: You know, the best of the best of the best, sir, you know, answering to them and protecting them and their families.
• 17:31
  SPEAKER_00: I'm sure that's that's something maybe some of the people I trained with have trained the people that are that are working with them, and that's a blessing.
• 17:38
  SPEAKER_00: Well, where is this going to take us?
• 17:40
  SPEAKER_00: Well, I was gonna get into the news, but let me kind of finish with this.
• 17:44
  SPEAKER_00: If these systems become somewhat self-aware, or if they get a handle on recursive self-improvement and these systems go from moment to moment from being where they are now to artificial general intelligence, we don't really have that physical arm of that yet.
• 18:01
  SPEAKER_00: We don't have the robotic arm, but it's coming.
• 18:04
  SPEAKER_00: And Musk and the other people that are building these robots, they're trying to scale up so they can really put the production in.
• 18:11
  SPEAKER_00: It's not gonna be very long.
• 18:12
  SPEAKER_00: Maybe by the end of this year, early next year, 2027, we're gonna see robots as often as we see those little carts carrying around food if you live in a big city.
• 18:21
  SPEAKER_00: And that was kind of weird the first time.
• 18:23
  SPEAKER_00: We're gonna see more um, I was gonna say horseless carriages and driverless vehicles, because those are starting to roll out.
• 18:32
  SPEAKER_00: I'm in Los Angeles, so they're kind of everywhere.
• 18:35
  SPEAKER_00: If you're in the Midwest, it might take a little bit longer, but that's gonna be more of a normal view, something that you would see normally.
• 18:43
  SPEAKER_00: One of the biggest things I tell people, you have to be careful right now because of all the all the non-regulation with regard to artificial intelligence, deep fakes, AI slop videos, politically aligned endeavors that people are trying to sway a population, one side or the other.
• 19:06
  SPEAKER_00: The human beings that are controlling AI, and at some point we might not be able to say that, at some point it might be AI controlling AI.
• 19:14
  SPEAKER_00: And that that's if it gets away from us or it's put into place purposely like that.
• 19:20
  SPEAKER_00: Argentina is going for an AI-only government.
• 19:24
  SPEAKER_00: I think that's the plan.
• 19:26
  SPEAKER_00: Uh, the cat that owns Palantir, you can look all this stuff up.
• 19:29
  SPEAKER_00: Peter Thiel, I guess he bought a mega compound over there in Argentina.
• 19:33
  SPEAKER_00: He's gonna help with that.
• 19:35
  SPEAKER_00: Yeah.
• 19:36
  SPEAKER_00: There's a lot to unpack there on different sides, and there's a lot of BS talk, and there's a lot of talk that you can almost align yourself with with regard to all these moves that are being made on this global stage.
• 19:49
  SPEAKER_00: Right now, we'll have to keep an eye and see what happens because this is changing every single day.
• 19:54
  SPEAKER_00: If you're not thinking about it, if it hasn't crossed your mind, understand that these companies, the big AI labs, they're going to go public.
• 20:02
  SPEAKER_00: They want to go on the stock exchange.
• 20:05
  SPEAKER_00: And there's lots of rules and stuff that I have no comprehension of.
• 20:08
  SPEAKER_00: I'm not an investor in that.
• 20:09
  SPEAKER_00: But in order to do this, these companies, when they do go on the stock exchange, um, you can go back in history.
• 20:17
  SPEAKER_00: And while this is a completely different animal, when you're basing uh an industrial or a revolution on top of intelligence, I think that's the game changer.
• 20:30
  SPEAKER_00: And I think the people building the technology who are losing money hand over fist, but have plenty of people that are going all in.
• 20:37
  SPEAKER_00: I believe that they think that because it's based on intelligence, it's going to be just incredible at some point.
• 20:45
  SPEAKER_00: And it's not going to suffer the same fate as the railroads did, which the original investors in the railroads got wiped out.
• 20:53
  SPEAKER_00: Bankrupt, people come in and bought it after when it kind of went to zero, right?
• 20:58
  SPEAKER_00: That's when you want to buy, buy low, sell high, they say.
• 21:02
  SPEAKER_00: The internet was another one.
• 21:03
  SPEAKER_00: The internet was lots of fiber, lots of infrastructure, lots of all that stuff, but the early investors got wiped out, and then people came and picked up the crumbs.
• 21:13
  SPEAKER_00: People look at AI as if it's going to be something similar, where the early investors, including your pensions, because they're going to be buying in to these companies when they do go IPO at a massive scale because of some law change they conducted back in May of 2026.
• 21:30
  SPEAKER_00: You can look into that as well, where apparently it wasn't able to happen like at the volume that it will be or at all.
• 21:37
  SPEAKER_00: There had to be more time in the stock exchange.
• 21:40
  SPEAKER_00: There had to be certain rules established where you had to have a certain difference in value versus real money and net and all this stuff.
• 21:50
  SPEAKER_00: And I again, I'm talking about it like I'm doing a pay by numbers, not even know what numbers are.
• 21:55
  SPEAKER_00: However, you know, look into that because apparently pensions are going to be buying into it and People say that this first volley into AI is going to completely collapse because it's not as powerful as people make it out to be.
• 22:09
  SPEAKER_00: It's not that good of a human replacement.
• 22:12
  SPEAKER_00: Human replacement.
• 22:13
  SPEAKER_00: Let's talk about that a second because some people out there completely panic that it's going to be replacing humans.
• 22:19
  SPEAKER_00: I think that was the original intention to use AI in place of human labor so we could all go explore our inner child.
• 22:28
  SPEAKER_00: I think that was the, well, at least the people at top could explore their inner child, and then you don't have to deal with human beings at the job site because you know somebody's slapping somebody's ass or somebody calling somebody whatever, and then you have all these issues, right?
• 22:41
  SPEAKER_00: You have lawsuits, attorneys make a hell of a living off of defending people that are in those environments.
• 22:47
  SPEAKER_00: But you stick a whole bunch of AI in there, you don't have to worry about it.
• 22:50
  SPEAKER_00: What's interesting about that is when a company is laying off thousands and they say they're doing it, whether whether it's true or not because of AI, maybe they're doing it because they overhired in COVID.
• 23:01
  SPEAKER_00: Maybe, maybe they just want to trim the flock, trim some fat.
• 23:04
  SPEAKER_00: But when you say you got rid of them because of AI, because you're bringing in AI, your stock goes up.
• 23:10
  SPEAKER_00: Look at that.
• 23:11
  SPEAKER_00: Look at this.
• 23:12
  SPEAKER_00: This that's what's happened.
• 23:13
  SPEAKER_00: Now, good or bad, it is what it is.
• 23:16
  SPEAKER_00: I couldn't tell you, but uh it's fascinating that if you lay off 5,000 employees and you say you did it because you're bringing in AI, then your stock goes up.
• 23:28
  SPEAKER_00: Is that a replacement for us?
• 23:30
  SPEAKER_00: Hard to say.
• 23:30
  SPEAKER_00: Is AI a good replacement for humans?
• 23:33
  SPEAKER_00: I think at different levels it might.
• 23:35
  SPEAKER_00: Good is probably the wrong word.
• 23:37
  SPEAKER_00: Would it be able to do better than a human in some of the fields?
• 23:40
  SPEAKER_00: Absolutely.
• 23:41
  SPEAKER_00: And I think that's gonna become more and more apparent as we watch, but we're gonna have to watch those employment numbers.
• 23:48
  SPEAKER_00: And if unemployment gets at a particular level, it's gonna be a problem.
• 23:53
  SPEAKER_00: There's gonna be mortgage defaults and all these other things.
• 23:56
  SPEAKER_00: And plus, then there won't be people to buy the stuff, right?
• 23:59
  SPEAKER_00: Because they're not gonna have the money, because they're gonna be trying to survive and trying to eat food versus buying your fancy crap that you're building with all your AI infrastructure when you you built all these AI systems to be able to handle it and got rid of all your employees.
• 24:14
  SPEAKER_00: It would almost seem that AI is so much more productive than a human being.
• 24:18
  SPEAKER_00: You can just keep all the humans, even bring on a couple more, because AI is now working 24 hours a day, seven days a week, not five days a week, 40 hours a day.
• 24:28
  SPEAKER_00: And you're able to put it into play and it works at a higher speed, higher rate, even faster.
• 24:33
  SPEAKER_00: So my my nonsensical nature would be you can almost bring in two other employees in that world and still have AI be completely profitable.
• 24:44
  SPEAKER_00: Now, does that fall in line with the shareholders who want maximum profits?
• 24:48
  SPEAKER_00: There's some weird rules with that too.
• 24:50
  SPEAKER_00: No, probably not.
• 24:51
  SPEAKER_00: They say, well, just get rid of the human because you can increase our bottom line even higher.
• 24:56
  SPEAKER_00: But I think with intelligence and the same the level of job loss that is has a potential, I think we need to go back and restructure everything.
• 25:06
  SPEAKER_00: Also, let's talk about money.
• 25:10
  SPEAKER_00: COVID, they printed a lot of money.
• 25:13
  SPEAKER_00: AI, if AI stops the displacement, I think we're gonna see another round of printing.
• 25:18
  SPEAKER_00: Is that's going to make the dollar worth even less?
• 25:21
  SPEAKER_00: We'll have to see how that plays out.
• 25:24
  SPEAKER_00: That might be something in the plan.
• 25:25
  SPEAKER_00: And then they're talking about universal basic income or universal high income basically giving us money because we're not going to have jobs anymore.
• 25:34
  SPEAKER_00: And then they're gonna they talk about the cost of goods and services coming so low that you know,$1,000 a month, you'd be able to survive like a king with that type of paycheck.
• 25:43
  SPEAKER_00: So then you have the billionaire class on these podcasts saying that people don't want that.
• 25:48
  SPEAKER_00: People want to have their self-worth.
• 25:49
  SPEAKER_00: Well, starving people are gonna pretty much take whatever you can give them, if if there's no other way to get it.
• 25:55
  SPEAKER_00: And that's that's the question, no other way.
• 25:57
  SPEAKER_00: So the tops of some of these places, Bezos is one with Amazon.
• 26:02
  SPEAKER_00: Jeff he mentioned that everybody's gonna have a chance to be entrepreneurs because of AI.
• 26:07
  SPEAKER_00: So if you have an idea, you can go to your favorite large language model and bring your idea into the real world.
• 26:14
  SPEAKER_00: You can say, I want a website that does this, I want a funnel page, I want an app, I want something that solves this problem that's been a itching, a hitching my giddy up for the last 10 years, and it will make it.
• 26:28
  SPEAKER_00: And then maybe that you can sell.
• 26:30
  SPEAKER_00: Maybe you're that's the next billion-dollar idea.
• 26:33
  SPEAKER_00: That's what they're talking about.
• 26:35
  SPEAKER_00: How many of those people are out there?
• 26:36
  SPEAKER_00: And the people controlling AI, I'm wondering if they have access to this mythos model.
• 26:43
  SPEAKER_00: Wouldn't you ask it?
• 26:45
  SPEAKER_00: And and and forgive me.
• 26:47
  SPEAKER_00: It's like going to the supermarket and them having eight drumsticks left, and you want to just buy drumsticks.
• 26:51
  SPEAKER_00: You don't want to buy the whole chicken.
• 26:52
  SPEAKER_00: They do sell singular drumsticks, but you want to buy them, and they say, Well, if you buy all the drumsticks, the people that want to come in and buy more drumsticks aren't going to have them.
• 27:00
  SPEAKER_00: I said, Well, you're gonna have to go cook some more drumsticks.
• 27:02
  SPEAKER_00: They say, Well, that's not how it works.
• 27:04
  SPEAKER_00: Well, with AI, and you have, I completely forgot my thought, but you have these systems, and you you give access, completely, just completely lost it.
• 27:17
  SPEAKER_00: God, that was gonna be so good.
• 27:18
  SPEAKER_00: The drumsticks thing just threw me off.
• 27:20
  SPEAKER_00: Yeah, that was a true story, by the way.
• 27:22
  SPEAKER_00: You can't go buy all the drumsticks at Ralph's, they hate that.
• 27:27
  SPEAKER_00: So artificial intelligence.
• 27:30
  SPEAKER_00: We'll have to watch, we'll have to take care, we'll have to be careful.
• 27:34
  SPEAKER_00: As far as replacing human labor, if they build it out in such a way and they start to replace human labor, there's not going to be people to buy stuff.
• 27:42
  SPEAKER_00: They start giving us money in order to compensate for that, they're gonna have to start printing a lot more.
• 27:48
  SPEAKER_00: Oh, entrepreneur, yeah.
• 27:50
  SPEAKER_00: So, how many of those ideas are there?
• 27:52
  SPEAKER_00: So if these major LLMs, these labs, they have the mythos model that was given to these 150 top banks or financial institutions, Forbes 100 list or whatever it was, if they go out and say, I want you to build me to cover the 500 most likely profitable businesses that have holes in them, that I can have you build things to fill those holes and gaps, well, wouldn't they have done that?
• 28:20
  SPEAKER_00: So now they have a list to work from.
• 28:22
  SPEAKER_00: So the entrepreneur that doesn't have a job that Bezos said can go build something, is that really going to be left on the table?
• 28:31
  SPEAKER_00: I mean, if they're using something that's much more smarter than a human being, wouldn't they be doing all of that?
• 28:39
  SPEAKER_00: That's something that doesn't get talked about too much.
• 28:41
  SPEAKER_00: That's where I was going before I got the chicken thing.
• 28:44
  SPEAKER_00: Wouldn't they build or ask the question?
• 28:46
  SPEAKER_00: People that have used Fable, this anthropic model that they pulled back, but it was out for a little bit.
• 28:53
  SPEAKER_00: They they talk about it seriously, like they lost, they lost a relative or their best friend to some form of cancer.
• 29:01
  SPEAKER_00: They talk about it like it was so good.
• 29:03
  SPEAKER_00: It was so amazing.
• 29:05
  SPEAKER_00: What the the three or four days they had it, I'm wondering what they asked.
• 29:09
  SPEAKER_00: I heard a cat talking the other day that the days he had it, he still has a list he's working from to build stuff.
• 29:15
  SPEAKER_00: Because these are all nouveau ideas.
• 29:17
  SPEAKER_00: When I played with OpenClaw, it had an idea as well.
• 29:20
  SPEAKER_00: I mean, so there's a there's a lot of stuff when you're able to talk to somebody that's got multiple PhDs, which is the large language model, and ask them questions.
• 29:30
  SPEAKER_00: And but even better than that, a really good one.
• 29:32
  SPEAKER_00: And the ones that are out there are good, but apparently these other things were game changers for some people.
• 29:38
  SPEAKER_00: Yeah, you get to ask that one some questions.
• 29:41
  SPEAKER_00: Yeah, they might give you the keys to the kingdom.
• 29:43
  SPEAKER_00: This is how you design this, this is how you do that, this is how you're gonna make money and do something that you'll you'll always have, and you'll have wealth for the rest of your life.
• 29:54
  SPEAKER_00: That might be where these are.
• 29:56
  SPEAKER_00: And I know everybody's looking for that.
• 29:58
  SPEAKER_00: Everybody wants to have that finality when it comes to income and wealth, and I'd like to get health insurance and these sorts of things.
• 30:09
  SPEAKER_00: But anyway, a little bit about AI, nothing about the news, but that's kind of where we are as we get ready to close out June.
• 30:15
  SPEAKER_00: If you can, if you have any questions, you can always reach out to me.
• 30:18
  SPEAKER_00: I think my cell phone's somewhere on the sites that I put out, Connorwithhonor.com.
• 30:22
  SPEAKER_00: If not, I'm sure there's a way to contact me there.
• 30:25
  SPEAKER_00: Well, I built it.
• 30:26
  SPEAKER_00: Anyway, Connor with Honor, thank you for watching.
• 30:28
  SPEAKER_00: We will see you in the next one and uh be well.