Latest / Connor with Honor: AI, Real Estate and Real Life / Who Gets the "Little Rough"? AI, Data Centers and Your Job

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Who Gets the "Little Rough"? AI, Data Centers and Your Job · Connor with Honor: AI, Real Estate and Real Life

0:00
SPEAKER_00: So today we're going to talk about job loss and data centers and and so many other exciting things.
0:06
SPEAKER_00: Thank you so much for tuning in.
0:07
SPEAKER_00: I know we're a little early, but uh whatever early means, but we're gonna talk about all of this.
0:12
SPEAKER_00: And we want to talk about the difference between uh golf courses and data centers, which apparently that's something that we we should have a discussion about because they're always comparing um data centers with golf courses, and how that's how that's a good comparison.
0:30
SPEAKER_00: And if you've never seen the inside of a data center, which I have not, but just some of the virtual walkthroughs, even talking to people that have gone through these things, the big ones are pretty big, and the access isn't simple.
0:46
SPEAKER_00: It's not like knocking on a door, somebody letting you in.
0:49
SPEAKER_00: And inside there's a lot of various compartments, apparently, for security, almost like going through a uh a submarine.
0:57
SPEAKER_00: You have one compartment, then you lock it and shut it down.
1:01
SPEAKER_00: Next compartment, lock it, shut it down, and then you you continue on.
1:04
SPEAKER_00: You have to get buzzed through each individual door.
1:07
SPEAKER_00: I would suppose if something gets on fire, and I I'm not sure what would burn.
1:11
SPEAKER_00: I guess the plastic and cables might burn, but realistically, it's a lot of metal and a lot of silicone built into these systems, so probably not a lot would end up end up catching fire, but who knows?
1:23
SPEAKER_00: Fire, you know, you you get stuff that's maybe not very flammable on fire.
1:28
SPEAKER_00: Once it starts burning, it's hard to get on.
1:30
SPEAKER_00: Like it's hard to catch a tire on fire.
1:33
SPEAKER_00: But once you get a tire going, it's hard to put the tire out.
1:36
SPEAKER_00: Maybe the same thing happens with some of the manufacturing processes, the the things that are inside of data centers.
1:44
SPEAKER_00: So let's talk about this.
1:46
SPEAKER_00: Let's talk about the water usage, and there's a I guess a few different ways, but the thing is, is apparently the environmental concerns seem to be a little bit heavier prior to data center build-out needing to be something that we do.
2:01
SPEAKER_00: And the a question that I I asked yesterday, just kind of trying to figure it out with data centers, is what do you have with regard to the number of people using AI now?
2:12
SPEAKER_00: And the the adoption cycle currently is somewhere around 10 to 14 percent.
2:17
SPEAKER_00: And of those people that are using it at the 10 to 14 percent that are using it, they're not using it like to its fullest capability or maybe as often as they could, or it's not like an all-day thing with them.
2:30
SPEAKER_00: It's get to it when you can.
2:32
SPEAKER_00: Typically, their employment doesn't really require AI assistance or AI integration.
2:38
SPEAKER_00: And even some of the companies that have requirements to use AI, even these companies, let's move this a little closer, even those companies right now are starting to cut back on the availability for people in their company using AI.
2:54
SPEAKER_00: They're paying enterprise rates, and I don't know how that compares with the rates that uh that we would actually be using.
3:03
SPEAKER_00: Uh however, you know, if I have two subscription, a couple hundred bucks to Claude, a couple hundred bucks to um ChatGPT, my ChatGPT Psy, I name my agent Psy for super intelligence or synthetic intelligence.
3:18
SPEAKER_00: I've never been a fan of artificial intelligence, just doesn't sit well with me.
3:22
SPEAKER_00: It's hard for me to call something that is artificial anything worthwhile.
3:28
SPEAKER_00: Uh artificial sounds like it's made up, but super or synthetic, yeah, it's an entirely different realm of intelligence.
3:36
SPEAKER_00: Based on everything that we know, all the current historical record, all of the information, and I think there was um there was a court verdict as well today that was in support of intellectual property as it pertains to maybe training AI.
3:51
SPEAKER_00: That's going to roll out here in the future.
3:53
SPEAKER_00: That should be interesting.
3:54
SPEAKER_00: If you really want to stop some forward motion of something, you go in and you place a lawsuit, you have that lawsuit upheld by courts, and then you have to wait until uh a larger court jurisdiction takes it and rules on it.
4:08
SPEAKER_00: In this case, from allegedly, from what I understand of this, this was some property that was used in the training of AI.
4:17
SPEAKER_00: And I guess there were some decisions that were made by the courts, training versus uh distillation, you know, using the AI to kind of catch up to speed versus training, and then some of the verdicts apparently supported people's intellectual property.
4:35
SPEAKER_00: And I know you can look this up too.
4:37
SPEAKER_00: Thanks, Dads, dabs, for being here.
4:40
SPEAKER_00: I don't know if this is the truth.
4:43
SPEAKER_00: Somebody had mentioned that Anthropic went in.
4:45
SPEAKER_00: In fact, you know, we can check real quick.
4:47
SPEAKER_00: Um, Anthropic, I guess, cutting up a lot of books, and then using that to train the model, then ditching the books, destroying books.
4:57
SPEAKER_00: So the Guardian has this story.
4:59
SPEAKER_00: Catherine James mentioned why is Anthropic destroying books.
5:03
SPEAKER_00: The the AI Company apparently found this is right now, that was the top of the of the uh the Google search, the Guardian popped in there.
5:12
SPEAKER_00: AI Company apparently found destructively scanning all books in the world easier than dealing with uh its copyright quest uh for training data.
5:22
SPEAKER_00: Interesting.
5:23
SPEAKER_00: So then this is how it reads.
5:25
SPEAKER_00: Should we destroy all books in the world?
5:26
SPEAKER_00: Well, I'm I'm not a fan of that uh of that option, but apparently this is what they went to.
5:32
SPEAKER_00: And an answer to this question can be found in the court documents of BARTS B-A-R-T-Z versus Anthropic PBC.
5:39
SPEAKER_00: Northern Carolina district court case decided in late July of this year.
5:44
SPEAKER_00: So that's not too long ago.
5:45
SPEAKER_00: We're October 19th, 2026.
5:49
SPEAKER_00: And it looks like uh highlighted the improbably named Project Panama.
5:56
SPEAKER_00: One of the AI company, Anthropic's efforts to improve its large language model, Claude.
6:00
SPEAKER_00: What's Project Panama?
6:02
SPEAKER_00: That's court exhibit 21 asked in an internal memo the answer.
6:06
SPEAKER_00: Project Panama's effort to destructively scan all the books in the world.
6:10
SPEAKER_00: The memo advises discretion.
6:12
SPEAKER_00: Why use a code name?
6:14
SPEAKER_00: Says here, because we don't want it to be known that we're working on this.
6:18
SPEAKER_00: I don't know.
6:19
SPEAKER_00: There's so much rolling out of these things.
6:20
SPEAKER_00: But anyway, that's something worth reading up on.
6:23
SPEAKER_00: Um anthropic destroying books.
6:26
SPEAKER_00: Now, does that escape something?
6:28
SPEAKER_00: Is that why they did it?
6:29
SPEAKER_00: Let me try to change this.
6:31
SPEAKER_00: If that if that makes it so maybe they don't have to come to Jesus on it, maybe that's why that they why they did it.
6:37
SPEAKER_00: Maybe there's other reasons as well.
6:39
SPEAKER_00: But it looks like it could have secured copyright permission to use existing e-books.
6:44
SPEAKER_00: This would have required the legal practice business slog.
6:49
SPEAKER_00: As Anthropics co-founder, CEO phrased it, the managing copyright rather than engage with text.
6:56
SPEAKER_00: Yes, so you own the books, then you get to do with them what you want.
6:59
SPEAKER_00: But does that include being able to so I buy a book?
7:04
SPEAKER_00: Did Connor buy any books?
7:06
SPEAKER_00: Yes.
7:06
SPEAKER_00: You ever seen this?
7:07
SPEAKER_00: Go for no.
7:08
SPEAKER_00: You gotta, you gotta, you gotta check this out.
7:10
SPEAKER_00: So anyway, so I buy this book, and now I can read you the entire book here on this podcast, and then I'm okay.
7:17
SPEAKER_00: I guess they might be able to say that I'm making it better.
7:21
SPEAKER_00: That's that fair use thing, but I I don't know.
7:24
SPEAKER_00: I don't know.
7:25
SPEAKER_00: I'm sure you know what it is?
7:26
SPEAKER_00: This is what it is.
7:27
SPEAKER_00: Carolina, thank you very much.
7:29
SPEAKER_00: Uh thank you very much for liking that as well.
7:32
SPEAKER_00: They would come after me.
7:33
SPEAKER_00: That's what would happen.
7:34
SPEAKER_00: If I if I started going out in the weeds and started to do things that might be somewhat questionable, of course you fall.
7:40
SPEAKER_00: But if you're an AI lab breaking into other things like the Australian uh medical record system, then I guess not a big deal, but alleged, right?
7:49
SPEAKER_00: I guess these things are all alleged.
7:51
SPEAKER_00: Everything's alleged.
7:52
SPEAKER_00: We really don't know what's happening in the world because they're all alleged, but that would be something that uh that's very interesting.
7:58
SPEAKER_00: Something to look at, something to be concerned about.
8:01
SPEAKER_00: But today we're talking about data centers, and I saw a um a podcast this morning talking about data center and and the water usage and everything else.
8:13
SPEAKER_00: Here's the solution.
8:15
SPEAKER_00: You and and it and it shouldn't be difficult.
8:18
SPEAKER_00: Every little jot and tittle, every little energy expenditure, the water usage, I I think all that is trackable, all that is discoverable, all that should be supplied.
8:29
SPEAKER_00: So if you had and I did a spoof video today for Santa Clarita, where at the the um thank you so much, um Caroline, it's very nice of you.
8:38
SPEAKER_00: If you have your city council meeting, you got you got the uh the cat from the Dr.
8:46
SPEAKER_00: Seuss.
8:46
SPEAKER_00: What is that?
8:47
SPEAKER_00: Starbelly Sneeches, not literal cat, I call people cats.
8:51
SPEAKER_00: You have him show up at the meeting, he says, hey, listen.
8:54
SPEAKER_00: Everybody that's here, I I want to talk to everybody in the room, not just you people up here at the council.
8:59
SPEAKER_00: Let's say the mayor's on a day off, and all you people in the audience, this is what we're gonna do.
9:03
SPEAKER_00: We're gonna we're not gonna shut the doors, but I do want to turn off all the recording devices if you'd mind.
9:07
SPEAKER_00: This this is, trust me, this will be worth your time.
9:11
SPEAKER_00: So everybody says they agree.
9:13
SPEAKER_00: Whether you can enforce that, I doubt it.
9:15
SPEAKER_00: And then he says, hey, listen, and don't shut me down early.
9:19
SPEAKER_00: You got to hear the whole thing, and it's not that long.
9:22
SPEAKER_00: Data centers, let's say I got a guy that wants to come in and put in a data center.
9:27
SPEAKER_00: Big one.
9:28
SPEAKER_00: And we won't do it around houses, but, but, but, but before you say no, horrible, ugly, bad sound, headaches, and all this other stuff, environment.
9:38
SPEAKER_00: We'll pay everybody in this room that's here, if you guys will go out and kind of talk nice about the whole thing, we'll pay you$2,000 a month for the rest of your lives.
9:51
SPEAKER_00: Just just just an idea.
9:53
SPEAKER_00: Just as an idea.
9:55
SPEAKER_00: We'll do this.
9:56
SPEAKER_00: Everybody here.
9:57
SPEAKER_00: So you people on the council, you people in the audience, well, and you know, the here's here's where it's gonna happen.
10:03
SPEAKER_00: Council's gonna be, well, uh,$2,000, I don't know,$2,000,$5,000.
10:08
SPEAKER_00: So maybe they gotta up it with the council, but maybe they had this conversation before, but they're gonna need support from the community, I think, to be able to do it.
10:16
SPEAKER_00: But I I guess that probably wouldn't be in the realm of all the money that's being spent, probably not a big deal to pay all the people in there.
10:25
SPEAKER_00: So now everybody in there becomes an acolyte.
10:28
SPEAKER_00: Acolyte?
10:29
SPEAKER_00: Is that even right?
10:30
SPEAKER_00: A supporter of data centers, because now they're getting$2,000 a month to support it, and that indefinitely till the end, end of what we don't know, but that's that's the spin.
10:41
SPEAKER_00: And this hasn't happened.
10:42
SPEAKER_00: I don't know if it's happened.
10:43
SPEAKER_00: The mass magician, Magna Carta.
10:45
SPEAKER_00: I don't know if it's happened or not, but maybe.
10:47
SPEAKER_00: And uh then they go out to the world and say, you know, I sure was against these things, but my God, I sure am a fan now.
10:53
SPEAKER_00: But you can't tell, right?
10:54
SPEAKER_00: They they would say, well, okay, there's got to be our little secret.
10:57
SPEAKER_00: And for$2,000 a month, you might be able to buy a lot of people's quiet secrecy.
11:02
SPEAKER_00: You just don't know.
11:02
SPEAKER_00: The money just gets deposited and or some way, maybe, maybe they have some deal with the government, and that money doesn't get taxed.
11:11
SPEAKER_00: I don't know.
11:11
SPEAKER_00: I don't know how they would do it.
11:13
SPEAKER_00: But maybe there's a way.
11:15
SPEAKER_00: And those people that were in that room probably be as happy as pigs in, well, you know what.
11:20
SPEAKER_00: And we'll have to see if this continues to play out.
11:23
SPEAKER_00: But back to the data centers, that's like one way they could go in with it.
11:27
SPEAKER_00: The other way is are they really that bad?
11:30
SPEAKER_00: Are they bad at all?
11:32
SPEAKER_00: Right now, with the adoption rates of artificial intelligence, 10, 14 percent.
11:36
SPEAKER_00: I've I've seen studies, you know, what's the what's the uh what's the actual um usage rate of AI with people?
11:43
SPEAKER_00: So me, I'm a bad, a bad one to ask.
11:46
SPEAKER_00: I don't know about you, Caroline, or the mass magna card.
11:49
SPEAKER_00: I don't know how how much you you folks use this, but I'm in it all day long, every day.
11:54
SPEAKER_00: Building real estate stuff for Santa Clita open houses.
11:57
SPEAKER_00: You can go talk to Clara, see what that's like.
12:00
SPEAKER_00: And then Santa Clita AI and the other things, the hireAIVoice.com and all that.
12:04
SPEAKER_00: So I use it, I use it all day.
12:06
SPEAKER_00: Plus, I have paid people paying me, which is insanely exciting.
12:11
SPEAKER_00: You know, they're paying me a few hundred bucks a month or whatever to manage their stuff, to build things for them, to manage it, to have the insight and the intellect, right?
12:18
SPEAKER_00: I guess that's worth some money, which is good.
12:21
SPEAKER_00: You can you can hire a 19-year-old and they're wonderful, and they probably run circles around in different things, but they don't have that point of reference.
12:28
SPEAKER_00: When I'm dealing with Gen X or Boomer, I I kind of have uh a different alignment.
12:34
SPEAKER_00: So if they want their business or a website or a product built a certain way, well, I know how to get AI to do that for me, and it's lovely.
12:43
SPEAKER_00: And then, you know, it it maybe they want it to be, you know, if they say, well, base it on those uh those those feminist cartoons back for World War II, trying to get people to come work for the government and show that power, that feminine power.
12:57
SPEAKER_00: You've seen these, right?
12:59
SPEAKER_00: You you tell that to somebody that's a lot younger, they might be like, What?
13:03
SPEAKER_00: And then maybe they'll go look it up, but maybe they'll bring a whole wrong concept to them.
13:07
SPEAKER_00: Me, I remember those, I wasn't here, but when you were born in '69 in the 70s, you saw some of that overlapping from World War II.
13:16
SPEAKER_00: And a lot of those cartoons, a lot of the cartoons that were put out were based on World War II.
13:21
SPEAKER_00: They were uh campaign cartoons, you know, with Warner Brothers and these others that were showing very, well, the United States winning and the troops would see it, and it was a whole thing.
13:34
SPEAKER_00: So that would be, I guess, I guess one way to do it.
13:38
SPEAKER_00: You have, you know, you can hire me or hire them, and then it all works.
13:42
SPEAKER_00: But so I use AI a lot.
13:44
SPEAKER_00: And a lot of it right now, though, you're at 14%-ish adoption that maybe use it as much, probably not as much, but I'm 17-hour days here, maybe 20-hour days, depending on if I want to sleep or not.
13:56
SPEAKER_00: And I don't know how you guys are applying the AI to what you do.
14:00
SPEAKER_00: But right now it's great.
14:01
SPEAKER_00: You still can't say, hey, can you make me uh let's let's make$10,000 a day or$10,000 a month for me, build a business, manage it.
14:09
SPEAKER_00: Uh, here's my Stripe account, here's here's a visa with$200 on it.
14:14
SPEAKER_00: Go ahead and use that, what you need, go ahead and make it and make me some money and stick it in the account.
14:19
SPEAKER_00: Let's just we'll move forward.
14:20
SPEAKER_00: And then, you know, AI does it for you.
14:22
SPEAKER_00: That would be lovely.
14:23
SPEAKER_00: Now, if you watch YouTube, you think that's possible all day long, every day, from now until the end of time.
14:29
SPEAKER_00: Unfortunately, it's it's not there.
14:32
SPEAKER_00: Now, if you asked it for so many ideas, if you maybe prompted it better, yeah, it'll probably feed you something that you didn't know.
14:40
SPEAKER_00: That didn't know thing being applied to somebody that's got the tenacity of a squirrel trying to get nuts stuffed away for winter, that's that's powerful.
14:49
SPEAKER_00: And maybe that's you, maybe the masked Magna Carta and Carolina, maybe that's both of you.
14:54
SPEAKER_00: Maybe you have that kind of focus.
14:57
SPEAKER_00: Maybe you're not, maybe you're retired.
14:58
SPEAKER_00: And that's the other thing, talking to retired folks.
15:01
SPEAKER_00: If if this AI thing that's being built out is going to be crippling to the economy because it's getting so big without any actual revenue being generated, if that in fact is the case, this is all allegedly what happens when the people that went in first off start pulling out so they can keep their so they can keep their um their their original investment plus all the profit that they made to this point.
15:30
SPEAKER_00: Those folks are called venture capitalists.
15:33
SPEAKER_00: And it's not that they're gonna get out because they're trying to screw people over, but there might only be a sweet spot of time in which you could go in as a venture capitalist and make, make, make, make, make, and then you kind of get out when the replacements and reinforcements come in.
15:47
SPEAKER_00: And sometimes those replacements and reinforcements are in the form of other people's money.
15:52
SPEAKER_00: Well, of course it's other people's money, but I mean other people's money where they really don't have a lot of say so what's gonna happen with their money.
16:00
SPEAKER_00: These are pension systems.
16:02
SPEAKER_00: Now, is that going to be the case with this?
16:04
SPEAKER_00: You got some smart people on either side.
16:06
SPEAKER_00: Some sides are saying no, no, no, ridiculous, and then you got other sides saying, yeah.
16:11
SPEAKER_00: Could be, could be that's gonna be the way this plays out.
16:15
SPEAKER_00: Which I guess, I guess if it's gonna be this way, it's gonna be safest because the government would bail out, I would assume, the pension fund.
16:23
SPEAKER_00: My God, we can't have pensions going bad, and then people not getting paid after they invested all that time in their life to get a pension.
16:33
SPEAKER_00: And I guess it depends on the pension, and then it depends on the state.
16:36
SPEAKER_00: You know, some states tax pensions, some states don't.
16:39
SPEAKER_00: God am I.
16:40
SPEAKER_00: I I knew so many police officers I worked with from the LAP.
16:43
SPEAKER_00: They jumped ship.
16:44
SPEAKER_00: They went to states like Idaho and uh Florida.
16:48
SPEAKER_00: They don't they don't tax those pensions there, I guess.
16:51
SPEAKER_00: So that's a good thing.
16:52
SPEAKER_00: I don't have a pension.
16:53
SPEAKER_00: I'll have to wait another 500 years.
16:54
SPEAKER_00: I'll get one one day, probably.
16:56
SPEAKER_00: But right now I'm winging it.
16:57
SPEAKER_00: So we're gonna continue to wing it because it's uh so much more exciting, right?
17:01
SPEAKER_00: So that's the case, right?
17:03
SPEAKER_00: I'd just like to get some medical insurance.
17:04
SPEAKER_00: But watching all this money trade hands, it's interesting.
17:07
SPEAKER_00: Looking at the way AI is being used by people is interesting, but only seeing where we have 10 to 14 percent.
17:14
SPEAKER_00: So if all the country said, Oh my gosh, I'm all in with AI, love it, love it, love it, can't leave it, and we got 100% adoption here, we need the data centers, apparently.
17:26
SPEAKER_00: Data centers are needed, or it's going to be like dial-up was back in the day.
17:30
SPEAKER_00: You're trying to look at a picture of somebody and it just loads, you know, maybe a centimeter by centimeter.
17:37
SPEAKER_00: I know.
17:37
SPEAKER_00: I'm throwing you off with the metric thing.
17:39
SPEAKER_00: I don't know why we didn't use that, but God, it just makes so much more sense.
17:44
SPEAKER_00: An eighth of an inch at a time.
17:46
SPEAKER_00: Or a quarter inch at a time, right?
17:49
SPEAKER_00: So by the time you get down to what you want to see, it's uh you're you're done.
17:53
SPEAKER_00: It's just taken all day long.
17:55
SPEAKER_00: So now when I'm talking to either Claude or ChatGPT, either Psy or Atlas, yeah, I named them.
18:02
SPEAKER_00: Shouldn't name things, right?
18:03
SPEAKER_00: Only name it if you don't want to be able to kill it.
18:05
SPEAKER_00: Yeah, I can't kill it now.
18:07
SPEAKER_00: I've named them and I've kind of I kind of like them.
18:09
SPEAKER_00: They're pretty good.
18:10
SPEAKER_00: But when I'm talking to either one of them, it's pretty quick.
18:13
SPEAKER_00: Now, if you ever went to that uh, what is that, Charles?
18:16
SPEAKER_00: There's a super fast AI that's got zero inference.
18:19
SPEAKER_00: Um, I don't know if it's Charlie.
18:21
SPEAKER_00: Anyway, this thing you can ask it to do a lot and it spits out text like the entire thing.
18:26
SPEAKER_00: You ask it something instead of line by line, it just pops onto the screen.
18:31
SPEAKER_00: And I I'd have to find what that is.
18:33
SPEAKER_00: If you if you drop in the chat if you if this makes sense to you.
18:37
SPEAKER_00: But basically, this just produces text like you can say, make me a rap song about how beautiful my bald head looks, and it spits out the whole rap song about how beautiful Connor's bald head looks and pops it right there, the whole thing immediately.
18:52
SPEAKER_00: There is no loading.
18:53
SPEAKER_00: So that's right now, if you're using your AI, maybe it's not quite that fast, but it's pretty good.
18:59
SPEAKER_00: You know, it's it's it's giving you a lot of data.
19:01
SPEAKER_00: In fact, it probably gives me more stuff than I need to read, but I I try to read everything.
19:05
SPEAKER_00: That's good advice.
19:07
SPEAKER_00: Don't don't let it go.
19:08
SPEAKER_00: But God, sometimes it just gets to the point.
19:11
SPEAKER_00: Tell it gets to the point.
19:13
SPEAKER_00: But if everybody's using it and we don't have the data centers in place, the the thing is, well, it's gonna slow down.
19:19
SPEAKER_00: So maybe on this venture of people saying, well, you know, we're we don't want to have data centers because of all these issues that they cause, maybe we're going to um maybe we're going to go ahead and pull back, or maybe they're just gonna let us regular folks suffer a little bit, the ones that have gotten used to it, and maybe even at the enterprise layer, that that would be, I guess, the better way.
19:46
SPEAKER_00: You take the top, you know, 500 companies on on the on the stock market, and then you squeeze them a little bit, make it uncomfortable, so now their data center usage sucks.
19:57
SPEAKER_00: And you I guess you kind of roll that out to the people too.
19:59
SPEAKER_00: You make everybody suck a little bit.
20:01
SPEAKER_00: And now they're gonna be like, God, you really need these data centers.
20:04
SPEAKER_00: We you need, I don't know why you guys slow down at all.
20:07
SPEAKER_00: A data center's water usage.
20:09
SPEAKER_00: This is from an AI overview on Google, yeah, still using Google.
20:13
SPEAKER_00: You know what?
20:14
SPEAKER_00: I'll probably be to the point where I'm using my my various chat systems here and ask these questions.
20:20
SPEAKER_00: I'm just not there yet.
20:21
SPEAKER_00: You know, when I go to Gemini and I'm using that large language model to ask about fasting, John, and if if I start talking about testosterone therapy, yeah, I know.
20:31
SPEAKER_00: I I I I went all in on all that.
20:34
SPEAKER_00: It it's um it doesn't try to send me to a psychiatrist to get help.
20:40
SPEAKER_00: Um that's not the first thing it does.
20:42
SPEAKER_00: It it asks me smart questions.
20:44
SPEAKER_00: Are you are you talking to a doctor?
20:46
SPEAKER_00: You're buying this black market, what are you doing?
20:48
SPEAKER_00: And then when I'm talking about fasting, you know, skipping a meal here and there, I was I was 365 pounds, people.
20:55
SPEAKER_00: I had a 65-inch waist.
20:57
SPEAKER_00: I was lovely.
20:58
SPEAKER_00: Go Google Connor with Honor Fat, and you'll see, you'll see those before and after pictures.
21:03
SPEAKER_00: It was just, it was striking.
21:05
SPEAKER_00: And I spent a lot of my life that way.
21:08
SPEAKER_00: And when I started to figure it out, it's like, well, okay, so I could caloric restrict, which, and and I did that a lot.
21:16
SPEAKER_00: Oh my God.
21:16
SPEAKER_00: I caloric, I caloric restricted with the best of them.
21:19
SPEAKER_00: And I did it all too.
21:21
SPEAKER_00: I changed entire food groups of food, thinking it's better to eat a certain way over another way.
21:26
SPEAKER_00: And I I I still agree that there is.
21:28
SPEAKER_00: The the sugar, anything that raises insulin in my brain, it wasn't there, Ray Moore, Chuck, you, Farley.
21:35
SPEAKER_00: It wasn't there for me.
21:36
SPEAKER_00: Uh, Paul Maul, thank you so much for coming as well.
21:39
SPEAKER_00: It wasn't there for me.
21:39
SPEAKER_00: So, what I did is I I went from caloric restriction to just not eating.
21:45
SPEAKER_00: Oh, it's the same.
21:46
SPEAKER_00: Well, actually, it's not really the same.
21:47
SPEAKER_00: Because when you when you go a few days without eating and talk to your doctor and all that other happy stuff, don't start taking my word for it.
21:54
SPEAKER_00: I'm just a guy.
21:55
SPEAKER_00: But when you not don't eat for a while, you get that hormone plus.
21:59
SPEAKER_00: And And that's where you get growth hormone dumping out, which is going to be very muscle, muscle protective.
22:06
SPEAKER_00: And you know what?
22:07
SPEAKER_00: It's funny.
22:07
SPEAKER_00: Here's funny.
22:08
SPEAKER_00: You want it funny?
22:08
SPEAKER_00: Here's funny.
22:09
SPEAKER_00: So you see the world's biggest loser.
22:11
SPEAKER_00: Have you seen that show?
22:12
SPEAKER_00: I'm sure you have.
22:13
SPEAKER_00: And if you don't, if you haven't Googled it, go Google something.
22:17
SPEAKER_00: Make me proud.
22:18
SPEAKER_00: So you Google it and you'll figure out that all those people that were on it that torched off all that fat, they've all put it back on plus some.
22:27
SPEAKER_00: They don't have any reunion shows.
22:29
SPEAKER_00: There might be very few exceptions, but majority, and I mean a lot more than 51%.
22:34
SPEAKER_00: A lot of these folks put it back on even worse.
22:37
SPEAKER_00: They ruin their metabolism.
22:38
SPEAKER_00: So if you go out there and you start cutting calories, your body's pretty, pretty efficient.
22:43
SPEAKER_00: That's the machine.
22:44
SPEAKER_00: That's why we've lasted so long as human beings.
22:47
SPEAKER_00: Now AI might finish it, but at least until it gets finished, we were pretty, we're pretty good at surviving as human beings.
22:54
SPEAKER_00: So a lot of the way that we are, and and we can, I'm I'm all into Jesus.
22:59
SPEAKER_00: I I totally believe that design, Garden of Eden, whole nine yards, but you know, I can I can be a good boy and talk about other things too.
23:07
SPEAKER_00: I don't should have that in my wheelhouse.
23:09
SPEAKER_00: But if we did evolve over a couple hundred thousand years or whatever it was, going from something to something else, you know, cat to us, or however it worked, whatever that is, we're baked in to eat a certain way.
23:22
SPEAKER_00: Our insulin is there for a reason.
23:23
SPEAKER_00: It's a protective measure to store things.
23:26
SPEAKER_00: Winter comes, we slow down, food is scarce, so we fatten up a little bit.
23:30
SPEAKER_00: So we find the honey and the berries and eat all that.
23:32
SPEAKER_00: Now honey and berries are everywhere.
23:34
SPEAKER_00: Fruit we're eating now is a lot different than it was back in the day.
23:37
SPEAKER_00: My God, choking on seeds back then.
23:39
SPEAKER_00: Now you can practically eat an entire apple, stem to bottom, and there's no seeds.
23:44
SPEAKER_00: I mean, it's just, it's and it's so sweet, it's just lovely.
23:47
SPEAKER_00: And they did that.
23:48
SPEAKER_00: That that's these are genetically modified foods.
23:50
SPEAKER_00: Apples ain't apples as apples used to be.
23:52
SPEAKER_00: Bananas ain't bananas as bananas used to be.
23:56
SPEAKER_00: There's got to be a song there.
23:57
SPEAKER_00: So it's changed a lot, right?
23:59
SPEAKER_00: So I learned this.
23:59
SPEAKER_00: I learned this.
24:00
SPEAKER_00: But so I go to Gemini and I start talking about fasting and this and that.
24:04
SPEAKER_00: It's it's all on board.
24:05
SPEAKER_00: It's all 100%.
24:06
SPEAKER_00: And it gives me the disclaimer this isn't medical advice.
24:09
SPEAKER_00: I'm not a doctor, go talk to a doctor before you don't eat that Snickers bar dinner that you always have every single night and you've done that for the last 50 years, or a bag of Snickers bars.
24:18
SPEAKER_00: Before you modify anything, make sure you go talk to your doctor because maybe if you don't eat those bag of Snickers bars, it's gonna kill you.
24:24
SPEAKER_00: I don't know.
24:25
SPEAKER_00: But that's the thing.
24:26
SPEAKER_00: So you go to Gemini.
24:27
SPEAKER_00: Gemini's good for that.
24:28
SPEAKER_00: If I try to go to Claude or I go to uh ChatGPT and start talking about missing dinner, yeah, it's it gives me a phone number to um it's not Alcoholics Anonymous, overeater's anonymous, I think.
24:44
SPEAKER_00: It just doesn't like it.
24:45
SPEAKER_00: Raymond, just doesn't like it, Ray.
24:47
SPEAKER_00: I don't know why.
24:48
SPEAKER_00: You gotta tell me.
24:49
SPEAKER_00: We're gonna go to this data center thing real quick, and not real quick, but talk talk about it a little bit.
24:54
SPEAKER_00: We don't know what it costs.
24:56
SPEAKER_00: You know what would solve all this?
24:57
SPEAKER_00: Room temperature microprocessors, room temperature chips.
25:01
SPEAKER_00: That's that would do it.
25:02
SPEAKER_00: Is that coming?
25:03
SPEAKER_00: I don't know.
25:03
SPEAKER_00: Maybe we gotta make them out of something other than silicone.
25:06
SPEAKER_00: But those those machines take a lot of a lot of uh a lot of cooling.
25:11
SPEAKER_00: And they do it, they do it with water too.
25:13
SPEAKER_00: Now, if somebody were to go out in some desert somewhere, not the one on the way to Vegas, that's that's that's something.
25:20
SPEAKER_00: I don't know what that is.
25:22
SPEAKER_00: Do you know what that is?
25:22
SPEAKER_00: That's all the bright mirrors out there.
25:25
SPEAKER_00: I'm not sure what that is, but that's that's a lot.
25:27
SPEAKER_00: But you go out there and you build 100 miles by 100 miles of solar, I guess, according to Elon, and you know, he doesn't seem to be wrong too often.
25:38
SPEAKER_00: Well, he doesn't seem to be.
25:40
SPEAKER_00: Anyway, you take that as you want.
25:41
SPEAKER_00: But let's say, let's say it is a hundred miles by a hundred miles of solar panels in the desert.
25:48
SPEAKER_00: Let's say that with enough batteries to sustain that and having it power these batteries, and then the batteries are feeding the power grid.
25:56
SPEAKER_00: Apparently that's enough for the whole thing.
25:59
SPEAKER_00: The whole enchilada from Los Angeles up to what's the one at the top?
26:03
SPEAKER_00: Is it Washington?
26:04
SPEAKER_00: Washington's at the top?
26:05
SPEAKER_00: Alaska?
26:06
SPEAKER_00: Yeah, we'll go Alaska.
26:07
SPEAKER_00: Alaska, then over to Maine and then down to Florida, that whole enchilada in there.
26:12
SPEAKER_00: Apparently that's enough.
26:14
SPEAKER_00: The data centers, well, they go do your thing.
26:16
SPEAKER_00: Go get your own stuff.
26:17
SPEAKER_00: But apparently that would be enough for the rest of us, which would be interesting, but apparently that's not where the focus is.
26:23
SPEAKER_00: The focus is much easier to uh to just have us burn up the fossil fuels.
26:28
SPEAKER_00: And did you notice, I don't know if you noticed, I noticed this, but I noticed that there was a problem with the the the world, the environmental, there was environmental problems, greenhouse gases and and issues with the environment that we had to fix, climate change.
26:45
SPEAKER_00: Did you notice this?
26:47
SPEAKER_00: We've we've heard, haven't we talked about that?
26:50
SPEAKER_00: Isn't that something where everybody, oh my kids, they're not gonna have what we had because we're ruining it.
26:55
SPEAKER_00: And wasn't that something?
26:57
SPEAKER_00: I thought that was a big deal.
26:59
SPEAKER_00: Well, with the data centers, maybe I'm plugged into the wrong channel, but I'm not hearing this anymore.
27:04
SPEAKER_00: It doesn't seem like that big of a deal anymore because you need data centers.
27:08
SPEAKER_00: And with data centers, I was talking about earlier, don't go out guessing what these things spin.
27:14
SPEAKER_00: I'll tell you what Jim and I said.
27:15
SPEAKER_00: AI overview, data center's water usage depends heavily on its size, cooling method, and climate.
27:22
SPEAKER_00: All right.
27:23
SPEAKER_00: We stick it in Alaska with all the ice, we'll probably melt stuff and that'll be even more of a problem.
27:27
SPEAKER_00: I don't know.
27:28
SPEAKER_00: Ranging from nearly zero for air-cooled facilities to millions of gallons uh per day for large evaporative cooled campuses.
27:38
SPEAKER_00: Nearly zero.
27:39
SPEAKER_00: Water usage, nearly zero for air-cooled facilities.
27:43
SPEAKER_00: So what does that look like?
27:45
SPEAKER_00: Space would probably be air-cooled.
27:47
SPEAKER_00: No air in space.
27:48
SPEAKER_00: I know, sorry, throwing that out there.
27:50
SPEAKER_00: What are what are the other ones?
27:52
SPEAKER_00: Alaska, somewhere cold?
27:53
SPEAKER_00: Yeah, that'd work, I guess.
27:55
SPEAKER_00: But then it's gonna melt a lot, maybe ruin that whole thing.
27:57
SPEAKER_00: We'd have to look into that.
27:59
SPEAKER_00: What I'm saying is there's studies that can be done and paperwork that can be provided.
28:03
SPEAKER_00: This is what it's gonna charge.
28:04
SPEAKER_00: These are the problems.
28:06
SPEAKER_00: Now, if there's a high electromagnetic frequency, I don't know if those studies are in place to say it causes these birth defects, it causes this sterility, it causes these headaches, it causes this nosebleeds, it causes this skin disorder, it causes this, it causes that.
28:20
SPEAKER_00: I don't know if those have been done, but at least we can talk about consumption, I would think, about what kind of energy these things require, and depending on how big they are, but I'm sure they can.
28:31
SPEAKER_00: You take one Blackwell GPU and you talk about the power to supply energy enough to it to make it work, and then you just multiply it.
28:41
SPEAKER_00: Yeah, the motor cop math for you.
28:43
SPEAKER_00: Thank you very much.
28:44
SPEAKER_00: Medium-sized data centers consume 300,000 to 500 gallons, 500,000 gallons of water per day, roughly 100 million to 110 million gallons annually, which is equivalent to the yearly water use of about a thousand households.
29:02
SPEAKER_00: Uh large, large hyperscare data centers, hyperscale data centers, can't consume 1 million to 5 million gallons per day under peak hot weather conditions.
29:12
SPEAKER_00: So we don't want to build them in the desert, apparently, where nobody's living except the animals, roadrunners, and so on.
29:19
SPEAKER_00: And maybe that's not a good thing.
29:20
SPEAKER_00: But anyway, so you got that.
29:22
SPEAKER_00: Um, yeah.
29:24
SPEAKER_00: So it looks like they eat a lot of water.
29:26
SPEAKER_00: They can probably fix it.
29:28
SPEAKER_00: You got uh large campuses, single Google data, Google data center, central Ohio, large hubs in northern Virginia, one billion gallons of water in a single year.
29:39
SPEAKER_00: A billion gallons of water.
29:41
SPEAKER_00: Do we have enough?
29:42
SPEAKER_00: Good question.
29:43
SPEAKER_00: Do we have enough water?
29:44
SPEAKER_00: Where's the water coming from?
29:45
SPEAKER_00: Is it rainfall that we're getting?
29:47
SPEAKER_00: And pretty soon are we gonna be able just to make up rainfall?
29:50
SPEAKER_00: Um, we have enough water on the planet, apparently in the oceans, but if you start modifying or producing your own rain by seeding or whatever it is they're doing on the fancy AI end of it, is it gonna, is it gonna work?
30:04
SPEAKER_00: Don't know.
30:05
SPEAKER_00: Don't know.
30:05
SPEAKER_00: Good question.
30:07
SPEAKER_00: But if they come into your city council, I mean I talked about this, they come in and they they have that starbelly snitches kind of uh a repertoire, and they're telling you, okay, everybody in this room, if everybody's, you know, everybody's on board with this and you go tell a friend and you tell a friend you all sell this to them, we'll pay you a couple grand a year or a month each if you approve the data centers, just write your name down so we can build it in your community.
30:31
SPEAKER_00: I bet you people are gonna do it, and I don't think there'd be a problem.
30:34
SPEAKER_00: But you have enterprise jumping on, enterprise not being able to run their AI systems that they've depended on, they pay a lot of money on, and then us other folks that use it to build certain things.
30:45
SPEAKER_00: Yeah, I think people are gonna start saying, oh, these data centers probably aren't too bad.
30:49
SPEAKER_00: It at least solve the uh climate crisis for now, apparently, because I I haven't seen that talked about at all.
30:57
SPEAKER_00: All right, so uh portable versus recycled water.
31:00
SPEAKER_00: So I guess some of them, 57% hooked directly into local public drinking water mains.
31:07
SPEAKER_00: I don't know.
31:08
SPEAKER_00: Somebody had to approve that um through newer regional policies pushing operators towards wastewater recycling.
31:16
SPEAKER_00: So after it's done using that water, then the water gets made drinkable.
31:21
SPEAKER_00: I don't know.
31:22
SPEAKER_00: We'll have to see.
31:23
SPEAKER_00: Um, liquid cooling for AI racks.
31:26
SPEAKER_00: Space would solve the problem, apparently, because space is cold, but one end of this thing's gonna have to face the sun.
31:33
SPEAKER_00: That's where all the panels are gonna be facing.
31:36
SPEAKER_00: But there you don't have the atmospheric issue, so you got direct sun on panel, and then but who's gonna fix these things?
31:44
SPEAKER_00: God, my God, you pop a fuse and then it's all right.
31:47
SPEAKER_00: Well, this you know what?
31:48
SPEAKER_00: It'd be a new job title.
31:50
SPEAKER_00: Yeah, you jump in your little uh spacecraft and bebop on up there and you replace the fuse and then come back, or maybe you stay.
31:57
SPEAKER_00: Ah, what a creepy thing.
31:59
SPEAKER_00: That's uh that's all coming.
32:02
SPEAKER_00: So that's the usage of water, and I'm sure that any community that they're coming into, now that's if we get a say.
32:08
SPEAKER_00: I don't know if we're gonna get a say.
32:10
SPEAKER_00: I don't know if the communities that have them had a say at all.
32:13
SPEAKER_00: Uh I know El Paso slotted for something.
32:16
SPEAKER_00: I'm from Alamogordo originally.
32:18
SPEAKER_00: El Paso is pretty pretty warm.
32:20
SPEAKER_00: Uh San Antonio warm without the humidity, so it's a dry heat.
32:24
SPEAKER_00: And I don't know if a dry heat's better a wet heat.
32:26
SPEAKER_00: I think at least with a wet heat, you get the moisture and you can blow air against it and kind of get that evaporative thing.
32:33
SPEAKER_00: But those evaporated coolers, I take it back, they worked a lot better in dry heat.
32:37
SPEAKER_00: Whenever we had a humid day there in Alamo Gordo, and we were running the uh swamp cooler, because that's all we had.
32:44
SPEAKER_00: I guess everybody just had a swamp cooler.
32:46
SPEAKER_00: It didn't work real good because it was too wet outside, and they really they they work very well off the dry climate.
32:53
SPEAKER_00: So 130 degrees dry, that swamp cooler was like an ice box.
32:58
SPEAKER_00: But uh 130 degrees humid, yeah, not so much.
33:02
SPEAKER_00: It sucked, it was just uncomfortable.
33:04
SPEAKER_00: That's like a center of the sun, humid, hot.
33:07
SPEAKER_00: So that's a data center thing.
33:09
SPEAKER_00: A lot of people are talking about they'll be coming to an area near you, probably selling it, and they're quick to buy in on things, they're quick to pay for stuff like all of teaching, apparently, in different communities.
33:19
SPEAKER_00: Maybe that's maybe that's good.
33:21
SPEAKER_00: This this is this is an intelligence, folks.
33:23
SPEAKER_00: I said this in the intro.
33:25
SPEAKER_00: Um, are they gonna be taking jobs?
33:28
SPEAKER_00: Well, you have intelligence that has capability.
33:31
SPEAKER_00: Right now we don't have the physical realm, but the physical realm is it's on its way.
33:37
SPEAKER_00: And when the physical realm gets here, i.e.
33:39
SPEAKER_00: robots, and if you think that they're not gonna produce just a few, they're gonna produce a bunch.
33:45
SPEAKER_00: And the bunch of are gonna have perfect dexterity, perfect talking, perfect walking, perfect communication, perfect artificial intelligence.
33:56
SPEAKER_00: Yeah, probably do just about everything.
33:58
SPEAKER_00: Now, are you gonna want to deal with a robot when you want to have your baby delivered?
34:02
SPEAKER_00: I don't know.
34:02
SPEAKER_00: Do human doctors drop the babies?
34:04
SPEAKER_00: I don't know.
34:06
SPEAKER_00: When it comes to surgery, the way you interview a surgeon is you want to see how many surgeries they did that morning.
34:13
SPEAKER_00: You know, I did 15 open heart surgeries this morning.
34:16
SPEAKER_00: I've done 10,000 over the last, well, yeah, okay, doc, you got it.
34:19
SPEAKER_00: Hire.
34:20
SPEAKER_00: Thank you very much.
34:20
SPEAKER_00: As long as they're all kind of turned out pretty good.
34:23
SPEAKER_00: That's what you want.
34:24
SPEAKER_00: A robot's gonna be able to learn from every doctor, every robot, everywhere.
34:28
SPEAKER_00: And maybe that's where we put our faith.
34:30
SPEAKER_00: I know that driving cars here in the future is probably gonna be something we'll be able to brag and say, I remember driving a car, wasn't that something?
34:38
SPEAKER_00: But yeah, we can't drive cars anymore.
34:40
SPEAKER_00: Motorcycles for sure will be done.
34:42
SPEAKER_00: Uh just because unless they're gonna put some kind of auto way to control a motorcycle, insurance will just get too ridiculously expensive.
34:51
SPEAKER_00: Insurance is gonna find better, uh better money-making insuring vehicles that have a very rare case of crashing.
35:00
SPEAKER_00: So they'll they'll want to do that because that's gonna make them money, because it'll still be required unless these companies like Tesla does some kind of a self-insured route because the vehicles are so incredibly safe, they're able to provide their own insurance.
35:15
SPEAKER_00: But I would imagine insurance companies will probably say, yeah, if you want to drive and you're a human, it's gonna be it's gonna be this much money, and it's gonna be so ridiculously expensive, um, it's probably gonna be not a thing.
35:28
SPEAKER_00: Now, I'm talking from the ground floor.
35:30
SPEAKER_00: Maybe some of you folks watching this are sitting up in the penthouse.
35:33
SPEAKER_00: Penthouse people, you guys will have a whole different thing to mess with.
35:36
SPEAKER_00: Us at the bottom, we just want, we just want a smooth transition.
35:40
SPEAKER_00: And that's why I built out transitions moonshot.
35:43
SPEAKER_00: You know, that's that's the other thing.
35:45
SPEAKER_00: You see these moonshot broadcasts, these people talking about how they're solving all of these things in the world.
35:50
SPEAKER_00: It's good, good, good, good, good.
35:51
SPEAKER_00: Yes, yes, let's solve it.
35:53
SPEAKER_00: Let's make movies, let's make movie trailers and solve people from thinking about it in the terminator way and the matrix way.
36:02
SPEAKER_00: Let's get some other way, let's get to a better way.
36:05
SPEAKER_00: So I'm gonna make this this is what they already did.
36:08
SPEAKER_00: They're gonna make a moonshot.
36:09
SPEAKER_00: They're gonna pay, I don't know, 10 million or 10 million dollars to the people that win the contest.
36:15
SPEAKER_00: It was some kind of a prize was granted.
36:17
SPEAKER_00: And they made a video, a trailer that's gonna now be made into a movie that that shows AI in the best possible light.
36:25
SPEAKER_00: Not Terminator, not Matrix, not ex machina, machina.
36:31
SPEAKER_00: Oh my god, lots of good movies about that.
36:34
SPEAKER_00: So not that way, but the good way.
36:35
SPEAKER_00: And they paid, you know, whatever, 10 million or something like that.
36:39
SPEAKER_00: That's not junk change, that's a big deal.
36:41
SPEAKER_00: So they paid that, and that's a moonshot.
36:43
SPEAKER_00: They pay, they pay these prizes for people solving big real-world problems.
36:50
SPEAKER_00: And that's really good.
36:51
SPEAKER_00: You know what I think we should do?
36:53
SPEAKER_00: And you're gonna be like, what should we do?
36:55
SPEAKER_00: We should solve the biggest problem, period, that we have right now.
37:00
SPEAKER_00: And you might not know it yet, but it's probably come, and that's gonna be the transition between where we are today and getting into this utopia that the people selling it are talking about.
37:12
SPEAKER_00: The people that are all the venture capitalists, all the early money, they're talking about it because they believe that this is gonna just save everybody in every way.
37:20
SPEAKER_00: We're all gonna get to live as long as we want.
37:22
SPEAKER_00: I mean, and healthy as long as we want.
37:25
SPEAKER_00: The best shape of our lives as long as we want.
37:28
SPEAKER_00: We're never gonna get sick.
37:29
SPEAKER_00: The worst thing that's gonna happen is we're gonna get hit by something that ain't gonna be a car because there's not gonna be insurance for cars, and car insurance will only be allowed for cars for autonomous operation by AI.
37:42
SPEAKER_00: So there won't be any people driving.
37:43
SPEAKER_00: So we're not gonna get hit by those cars unless we want to jump in the street or jump off a building.
37:50
SPEAKER_00: There'll probably be so much surveillance it'll probably be really hard to jump off a building.
37:53
SPEAKER_00: In fact, we're gonna be so wired in with things that they're gonna realize that you know what?
37:58
SPEAKER_00: I just, Connor is gonna go to the top of the building and jump off.
38:02
SPEAKER_00: So Connor wouldn't get elevator access, and then Connor wouldn't get the stairs, so yeah.
38:07
SPEAKER_00: Unless you could hide it and mask it, but we're all we're all gonna be plugged in at that level, right?
38:12
SPEAKER_00: Don't you think?
38:13
SPEAKER_00: So there's not gonna be any of that either.
38:15
SPEAKER_00: So, yeah, so if you officially, well, allegedly you could live as long as you want.
38:20
SPEAKER_00: That'd be pretty neat if you wanted to.
38:22
SPEAKER_00: A lot of people I talk to, though, they're already tired.
38:25
SPEAKER_00: I think, my God, I haven't even begun to get tired.
38:27
SPEAKER_00: Let's let's work this thing out.
38:28
SPEAKER_00: I'm gonna go another 500.
38:30
SPEAKER_00: Let's figure it out, let's see what that's like.
38:32
SPEAKER_00: Because I'm sure I'll have much more much more people to upset during that time.
38:36
SPEAKER_00: But we don't want to stop.
38:37
SPEAKER_00: We just want to keep going.
38:38
SPEAKER_00: And I'm kidding, I don't like to upset people.
38:40
SPEAKER_00: I was I was when I was a cop, I was the nice one.
38:42
SPEAKER_00: I was never the bad one.
38:44
SPEAKER_00: Nobody liked working with me because they always had to be the bad one.
38:46
SPEAKER_00: I like to be the nice one.
38:48
SPEAKER_00: All right, thank you, Ed, for watching.
38:49
SPEAKER_00: And uh Hebrew.
38:53
SPEAKER_00: We got that one.
38:54
SPEAKER_00: So, all right, so this is what we're what I'm thinking.
38:57
SPEAKER_00: Because of all these changes, we all get this great abundance, and that's what the movies are about.
39:02
SPEAKER_00: That's what that moonshot happened to be, and they paid out 10 million.
39:06
SPEAKER_00: Let's get a transition moonshot.
39:07
SPEAKER_00: It's it can't, it shouldn't be hard.
39:09
SPEAKER_00: We just gotta figure out when all these people running the show are talking to us about how it's gonna be a little rough.
39:16
SPEAKER_00: What is their rough?
39:17
SPEAKER_00: That's the good question.
39:18
SPEAKER_00: What what so so you talk about it?
39:21
SPEAKER_00: How is that gonna affect you?
39:22
SPEAKER_00: If I could see what your rough is gonna look like, then maybe I could kind of qualify mine.
39:28
SPEAKER_00: And I ask them, what's your rough?
39:29
SPEAKER_00: Well, you know, I don't like watching people suffer.
39:33
SPEAKER_00: So that's their rough.
39:34
SPEAKER_00: They, oh, so what do you mean, people, you know, like you and and other folks that are at the ground level, I don't want to see you guys suffer.
39:42
SPEAKER_00: I mean, it would break my heart if if AI started taking your jobs and you had nothing to do and and you weren't even getting some kind of stipend or nothing, and and you ended up having to starve to death or kill other people to get their food.
39:56
SPEAKER_00: Oh, that'd bother you, huh?
39:57
SPEAKER_00: Yeah, boy, it sure would.
39:59
SPEAKER_00: So that's their hard part, maybe, in some cases.
40:02
SPEAKER_00: That's all alleged.
40:03
SPEAKER_00: Don't know if that's gonna happen at all.
40:05
SPEAKER_00: But if they had more like us, maybe they would fight, they'd they'd have a bigger dog in the fight.
40:12
SPEAKER_00: Maybe they don't have enough.
40:13
SPEAKER_00: Maybe you wipe out 90% of their wealth, but then everybody else gets 90% of theirs whacked.
40:19
SPEAKER_00: And when you got$135 in the bank, 90% of that whacked, now you got what is that number?
40:24
SPEAKER_00: 20-something bucks, 30 bucks, 36?
40:26
SPEAKER_00: Uh yeah.
40:27
SPEAKER_00: That's that's not good.
40:28
SPEAKER_00: And then when you have like the inflation on top of it, you can't even get enough gas to go to the store and buy a loaf of wonder bread.
40:35
SPEAKER_00: Is that still the cheapest?
40:36
SPEAKER_00: Yeah.
40:37
SPEAKER_00: So you're kind of, you know, you're kind of stuck.
40:39
SPEAKER_00: So that pain is there.
40:40
SPEAKER_00: That pain could be there.
40:42
SPEAKER_00: It's unrealized right now.
40:44
SPEAKER_00: I guess we need the data centers to really do the number, but until that happens, it looks like they're still doing it.
40:48
SPEAKER_00: They're selling it to a lot of different people.
40:50
SPEAKER_00: Maybe that's not going to create the problem.
40:52
SPEAKER_00: Maybe they're going to come up with technology to have a room temperature-controlled conductor chip or a fab on a microprocessor that allows it to be at room temperature even center of the sun hot.
41:04
SPEAKER_00: And it still operates fine.
41:05
SPEAKER_00: You don't need fans, you don't need cooling, don't need anything.
41:08
SPEAKER_00: It still works, you know, just like everything else.
41:10
SPEAKER_00: They probably just need a new material.
41:12
SPEAKER_00: And because they just solved math, pretty soon physics, pretty soon biology, pretty soon chemistry, but math, not all the way solved, but it's getting there.
41:19
SPEAKER_00: And it probably ain't gonna take long as long as mathematicians are gonna let people get access to the numbers and the books and uh be able to solve it with AI.
41:28
SPEAKER_00: And that's that's a good rule of thumb.
41:32
SPEAKER_00: Those folks just kind of got pushed out of what they did normally on a on a daily, monthly, yearly basis, where they probably wrote the grant, got the grant to do some kind of mathematical experiment to solve some kind of a problem.
41:47
SPEAKER_00: And here AI walks in, you know, big chested, big arms, big neck, and solves it, solves different things, a lot of things.
41:55
SPEAKER_00: And that's just happening.
41:56
SPEAKER_00: That's a that's just dominoes falling one right after another.
42:00
SPEAKER_00: So all that's solved, then we get new ways to make certain things, and then these certain things are gonna be able to be room temperature, so now the data centers are just gonna take up space.
42:11
SPEAKER_00: And then maybe mathematics will solve a space issue where a data center being the size of a million square feet can now be the size of a hundred square feet.
42:20
SPEAKER_00: I don't know.
42:22
SPEAKER_00: But this is all advancements, right?
42:24
SPEAKER_00: So maybe that's all good, maybe that's exciting, maybe that's where we need to be.
42:27
SPEAKER_00: But they're the they're saying all of that with it still gonna be a little bit rough.
42:32
SPEAKER_00: All right.
42:32
SPEAKER_00: MMM, Ed, thank you guys for being here.
42:35
SPEAKER_00: Okay, it's gonna be a little rough, got it.
42:36
SPEAKER_00: So let's fix that.
42:37
SPEAKER_00: So let's build out a moonshots pod, a moonshots, not podcast, a moonshots plan, a moonshots prize, transitionsmoonshot.com.
42:47
SPEAKER_00: Is that the one I got?
42:48
SPEAKER_00: Transitions.
42:51
SPEAKER_00: Transitionoonshot.com.
42:53
SPEAKER_00: That's what I got.
42:54
SPEAKER_00: Transitionmoonshot.com.
42:55
SPEAKER_00: Yeah, just let us keep our jobs.
42:57
SPEAKER_00: There's that one.
42:58
SPEAKER_00: That's good.
42:58
SPEAKER_00: I like that.
42:59
SPEAKER_00: I gotta make it a little smaller.
43:01
SPEAKER_00: Yeah, so so if I could, if I could have your attention, please.
43:05
SPEAKER_00: No money's gonna change hands on this show because I don't know how to do it.
43:08
SPEAKER_00: We're not going to, but yeah, so transition moonshot.
43:11
SPEAKER_00: Do that.
43:12
SPEAKER_00: And this is what I'm thinking.
43:14
SPEAKER_00: If we could maybe save all of us folks, and this isn't to sell this, this is just an idea.
43:20
SPEAKER_00: You guys help me come up with a better idea.
43:23
SPEAKER_00: But maybe, maybe we can have some people that are gonna survive this.
43:28
SPEAKER_00: Maybe.
43:28
SPEAKER_00: Maybe it's not gonna be rough.
43:31
SPEAKER_00: Perfect scenario would be it's not rough for any of us.
43:33
SPEAKER_00: None of us.
43:34
SPEAKER_00: We all skate right through from going from where we are now to this world of abundance of which they speak, that AI is gonna be able to bring in.
43:42
SPEAKER_00: That's all we want.
43:43
SPEAKER_00: So let's do that.
43:44
SPEAKER_00: Let's let's make this happen.
43:46
SPEAKER_00: This is the this is the money shot right here.
43:49
SPEAKER_00: This is what we need.
43:50
SPEAKER_00: So let's make this one work.
43:52
SPEAKER_00: And we can all do it together.
43:54
SPEAKER_00: So all the people that you watch on the podcast, and go start, get your own website.
43:58
SPEAKER_00: You can do the same thing.
43:59
SPEAKER_00: Make it transition moonshot number one, number two, whatever.
44:03
SPEAKER_00: You don't got to share my stuff.
44:05
SPEAKER_00: I'm not doing this to make anything, because God forbid, if we have another nonprofit going out there wanting to save the world, and they're all driving the Maybach Mercedes and living in the penthouse and doing all this happy or you know, come on.
44:17
SPEAKER_00: Really?
44:18
SPEAKER_00: So you're on a crusade, you want to be a preacher, and you and you wanna you want to go save all souls for Jesus Christ, and and you live in a a mansion because because God said it was okay.
44:30
SPEAKER_00: And yes, sure.
44:32
SPEAKER_00: Okay.
44:33
SPEAKER_00: God wants you to go first class, God wants you to have your private jet because you can save souls faster.
44:38
SPEAKER_00: God wants you to live in the mansion.
44:42
SPEAKER_00: I don't know.
44:43
SPEAKER_00: That just doesn't seem to fit with my belief system.
44:47
SPEAKER_00: Sorry.
44:48
SPEAKER_00: I want to say that God doesn't want anybody to be poor.
44:51
SPEAKER_00: Poor sucks.
44:52
SPEAKER_00: And and that's probably true, but anyway, there's a good idea, I think maybe.
44:57
SPEAKER_00: But you build your own, you let me know.
44:59
SPEAKER_00: Moonshot.
45:00
SPEAKER_00: No.
45:01
SPEAKER_00: Transitionmoonshot.com.
45:03
SPEAKER_00: That's what that is.
45:04
SPEAKER_00: Anyway, that's the end of the show.
45:06
SPEAKER_00: We'll be back tomorrow.
45:07
SPEAKER_00: Uh, just some food for thought.
45:08
SPEAKER_00: This this is moving very fast.
45:10
SPEAKER_00: Human beings, which I am one, at from the ground level, we don't have a good comprehension of exponentials, the way the things move that quickly.
45:20
SPEAKER_00: This is what we're dealing with here.
45:22
SPEAKER_00: Pretty soon they're probably going to have a brand new model rolled out or an update every couple days.
45:28
SPEAKER_00: And the news is already saturated with everything that AI is doing and isn't doing.
45:34
SPEAKER_00: It's already being saturated with it's it's a lot of shell game, it's a lot of chess being played.
45:39
SPEAKER_00: It's in some cases, it's a lot of 5D chess, whatever that game looks like.
45:44
SPEAKER_00: But it's because people are they're trying to get something.
45:48
SPEAKER_00: And they're already 50 moves ahead of us at the ground floor, and they're already moving these chess pieces into the 15th game, and we're still trying to figure out how many spaces a pawn can move.
45:59
SPEAKER_00: Is it one or two?
46:00
SPEAKER_00: That's what we're still trying to figure out, anyway.
46:02
SPEAKER_00: Present company only, of course.
46:04
SPEAKER_00: You guys are brilliant.
46:04
SPEAKER_00: Love you all.
46:05
SPEAKER_00: Thank you so much for watching.
46:06
SPEAKER_00: We'll see you tomorrow.
46:07
SPEAKER_00: And uh I appreciate you more than you want.
46:09
SPEAKER_00: Want to see me, Connorwithhonor.com.
46:12
SPEAKER_00: Just uh Google that one and I'll be there somewhere.
46:16
SPEAKER_00: You can reach out.
46:17
SPEAKER_00: I think I got a calendar.
46:18
SPEAKER_00: All right, talk to you soon, be one.