Latest / Connor with Honor: AI, Real Estate and Real Life / Moonshots Decoded Part 2: Who Pays, and Free Power From the Desert

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Moonshots Decoded Part 2: Who Pays, and Free Power From the Desert · Connor with Honor: AI, Real Estate and Real Life

• 0:00
  SPEAKER_00: But talking about what's going on out there in the world, I do have a simple solution that I believe might be able to help everybody.
• 0:06
  SPEAKER_00: And I'll open with what I believe should be happening, and that is the people that are in charge of all the artificial intelligence systems out there, the ones building the projects, the the early adopters, the ones, the venture capitalists that have gone all in.
• 0:20
  SPEAKER_00: At the very beginning, if they were to actually be tasked with uh coming up with a solution where all of us, the regular folks, the people at the ground level, the people lower the ground level, God bless you all, we could all be saved and move through this particular transition with uh as little discomfort as possible.
• 0:42
  SPEAKER_00: I think that would be a very, very phenomenal thing to have happen.
• 0:47
  SPEAKER_00: However, it seems like they're paying more attention to wanting to grease their own skids than help the rest of us.
• 0:54
  SPEAKER_00: Now, we're not looking for a handout, but this is uh something that's going to be happening that we didn't or weren't able or are to have the inability of changing in any particular way.
• 1:08
  SPEAKER_00: Therefore, these things changing, these systems, these wonderful endeavors that are going to be coming upon us, this abundance of which they speak all the time, it's going to be coming.
• 1:20
  SPEAKER_00: And uh let's get into what they're talking about.
• 1:23
  SPEAKER_00: So, right now, just to give some definition, NeoClouds renting out AI chips on borrowed money.
• 1:29
  SPEAKER_00: And think of it this way you know, I'm in real estate, Santa Clarita Openhouses.com is my system, my brand here in Santa Clarita Valley.
• 1:36
  SPEAKER_00: I have a massive open houses network, including Beverly Hills Open Houses, OC Open Houses, Los Angeles, or LA Openhouses.com, all these systems as well, served up by the CRMLS.
• 1:48
  SPEAKER_00: And that that is a whole other thing that's going on out there where brokerage just want to take over the actual propagation of real estate listings, stripping that away from what seems to be a much more transparent type of show, but whole nother story.
• 2:03
  SPEAKER_00: But if an investor goes out there and purchases 40 rentals on credit, of course, and that's where investors typically are using other people's money to leverage real estate.
• 2:12
  SPEAKER_00: That's the way that it's done typically.
• 2:14
  SPEAKER_00: There are no people that go out and buy 40 properties, cash.
• 2:18
  SPEAKER_00: Well, it depends on who they are.
• 2:20
  SPEAKER_00: If they're the worn buffets of the world, I'm not sure if maybe their strategy is a little bit different for but for even very rich investors, they're farming out these particular listings by uh using other people's credit in the purchase of them.
• 2:35
  SPEAKER_00: You know what?
• 2:36
  SPEAKER_00: That's the way the world works.
• 2:37
  SPEAKER_00: However, they go out and buy these on credit.
• 2:39
  SPEAKER_00: There's two hopes in that particular world, and this is where the uh AI systems, the neo clouds, are very much similar to these.
• 2:48
  SPEAKER_00: They go out and buy 40 different properties in hopes that number one, the rents are going to increase over time, which of course would be a good thing.
• 2:57
  SPEAKER_00: The other thing that they're hoping is that the property values will increase as well.
• 3:01
  SPEAKER_00: It's the same thing with the Neo Clouds.
• 3:03
  SPEAKER_00: On credit, they go out and they purchase chips.
• 3:07
  SPEAKER_00: Processors.
• 3:09
  SPEAKER_00: You've heard of these things.
• 3:10
  SPEAKER_00: These are the Blackwell chips and other types of chips, chips made by various companies, NVIDIA and so on.
• 3:16
  SPEAKER_00: They buy these in bulk and volume.
• 3:18
  SPEAKER_00: They use credit to do so.
• 3:20
  SPEAKER_00: And then they sell these to companies.
• 3:22
  SPEAKER_00: They lease, they rent them out to companies to use.
• 3:25
  SPEAKER_00: Why wouldn't the companies buy them originally?
• 3:27
  SPEAKER_00: Well, they were smart, right?
• 3:28
  SPEAKER_00: They see that there's a need for this.
• 3:30
  SPEAKER_00: Plus, they have credit, plus they have early investors and adopters and venture capitalists that say, hey, this is a great business model, and we will be very happy that you do this.
• 3:39
  SPEAKER_00: So they go out and they purchase these, and their hopes are also twofold.
• 3:43
  SPEAKER_00: I think at the very beginning the renting thing was realistically the one they were hoping and betting on, a nice aside, and I think some of this might have been baked into the pitch.
• 3:54
  SPEAKER_00: Some of the other thing would have been, gosh, I really hope that uh these chips become more valuable over time.
• 4:02
  SPEAKER_00: That transition doesn't seem to be happening.
• 4:04
  SPEAKER_00: Real estate, yes.
• 4:05
  SPEAKER_00: In that world, seems like real estate continues becoming more valuable over time.
• 4:10
  SPEAKER_00: The chips, because of the this isn't where a real estate house, condor, townhome, that particular style was just discovered.
• 4:20
  SPEAKER_00: Going for maybe building stuff out of um Adobe, for example, which my dad grew up in that style of residence, uh made with hay and mud sort of thing there in Socorro, New Mexico.
• 4:33
  SPEAKER_00: Yeah, grew up dirt poor.
• 4:35
  SPEAKER_00: But I do remember, you know, seeing that house when I was just a kid, and of course it's been demolished.
• 4:41
  SPEAKER_00: I think it's an intersection now in Socorro, New Mexico.
• 4:44
  SPEAKER_00: But I remember the way that it looked and the way that those adobe bricks looked, and I remember asking my dad, what's that inside the brick?
• 4:51
  SPEAKER_00: He said, Well, that's hay.
• 4:52
  SPEAKER_00: That's how they put these together.
• 4:54
  SPEAKER_00: So that's transitioned from that building style to now, and then you have concrete, you have other structures.
• 5:00
  SPEAKER_00: So it's gotten better.
• 5:01
  SPEAKER_00: But now I think the building style of residences that have existed for the last 40-50 years, that's pretty much tapped out.
• 5:08
  SPEAKER_00: So as far as innovations go, probably few and far between.
• 5:12
  SPEAKER_00: Maybe there could be something, but a whole different point of view than microprocessors or computer chips.
• 5:21
  SPEAKER_00: Computer chips are getting better now based on silicone.
• 5:24
  SPEAKER_00: Who knows?
• 5:24
  SPEAKER_00: Maybe they'll be based on something else.
• 5:26
  SPEAKER_00: I know they're experimenting with light and other things instead of actually hard-coded systems, and that being the case, you know, maybe this is going to even become something more incredible than it already is.
• 5:37
  SPEAKER_00: They're they're toying with light as well and the different types of chips, so instead of actual wires on the nanoscale, they have uh light particles being able to be transmitted, and then instead of having the delay and the transmitter rate, you are at the speed of light.
• 5:53
  SPEAKER_00: And that, which is great.
• 5:55
  SPEAKER_00: But here's the thing NeoStock clouds, apparently neo cloud stocks, I should say, are down 30 to 40 percent.
• 6:03
  SPEAKER_00: 200 of them could fold or merge.
• 6:05
  SPEAKER_00: This is all gleaned from the the Moonshots podcast, which you might watch.
• 6:10
  SPEAKER_00: And there's some interesting points in here.
• 6:13
  SPEAKER_00: One of the things that I think is important to point out, not that these people on this show are responsible for anything that's happening, so we can go ahead and throw that out there.
• 6:24
  SPEAKER_00: And I I don't know if they actually are, but they are in a position, and they themselves, if what they want is to be put up on that platform, have their own Mount Rushmore, if you will, or their own statues, their own holiday, their own godlike elevation.
• 6:40
  SPEAKER_00: Now, some of us aren't going to worship anybody as gods but God Himself, but you know, most of us, even in that realm, know what gratitude looks like.
• 6:49
  SPEAKER_00: And if somebody does help us out, it goes above and beyond their calling to uh not even having to sacrifice themselves, just pointing some attention, because these these five or these four on the show could realistically just look over and say, I pardon you.
• 7:06
  SPEAKER_00: I I wish that uh the world wouldn't have to go through this and come up with the moonshots and have their smart friends say, Let's go ahead and help these people out, unless, of course, there's ulterior motives.
• 7:18
  SPEAKER_00: But they do talk about these neo-cloud stocks being down, as we show here, about 200 of them potentially folding or merging with others.
• 7:30
  SPEAKER_00: And the contextual application of this is back in the 2000s with all the fiber that was being laid for the internet.
• 7:37
  SPEAKER_00: Those original early adopters got beaten up to hell.
• 7:42
  SPEAKER_00: Most of them got out.
• 7:44
  SPEAKER_00: You know what?
• 7:44
  SPEAKER_00: Let's let's reframe this.
• 7:46
  SPEAKER_00: Let me back up just a little bit.
• 7:48
  SPEAKER_00: The original investors, like of the people on this Moonshots podcast, for example, and others, and and I'm guessing, but it seems like there's venture capital money here.
• 7:59
  SPEAKER_00: They have those right people.
• 8:00
  SPEAKER_00: They roomed with the right people in college.
• 8:02
  SPEAKER_00: I I roomed with a guy named Drew, and Drew was kind of scary.
• 8:05
  SPEAKER_00: He was Goth before Goth was popular.
• 8:07
  SPEAKER_00: He was not um Zuckerberg.
• 8:10
  SPEAKER_00: He was not Gates, he was not any of these other people that are running these mega companies, not a Jobs type person, Steve Jobs, not uh, you know, uh a Dario Amade or a Carpafey or whomever that you want to elevate up at the top of this.
• 8:27
  SPEAKER_00: These aren't the people that were went to Eastern New Mexico University as I went.
• 8:32
  SPEAKER_00: And they weren't the people living in my dorm as I did.
• 8:36
  SPEAKER_00: So I missed that boat.
• 8:38
  SPEAKER_00: I was also a cop for a long time, so I didn't have the other access that people have.
• 8:42
  SPEAKER_00: I I'm not crying myself a river.
• 8:45
  SPEAKER_00: I just don't think it's going to be ultimately fair to have the people at the ground floor have to go through this mess when this isn't anything.
• 8:55
  SPEAKER_00: This is something that could save all of us all at the same time.
• 8:59
  SPEAKER_00: It is that big, it is that powerful, it is that super amazing and super intelligent.
• 9:04
  SPEAKER_00: It could.
• 9:05
  SPEAKER_00: It's just people are too busy making sure that they're protected and protecting those that don't really need protection at this time.
• 9:14
  SPEAKER_00: And if you look at the the original fiber, the venture capitalists that went in got saved because other money was able to be invested into these systems.
• 9:26
  SPEAKER_00: They pulled their money out plus whatever their profit had to be from their original$50 investment, getting out their$500 million or whatever it looked like.
• 9:35
  SPEAKER_00: So they were safe, and that's when it collapsed.
• 9:38
  SPEAKER_00: Is AI going to be the same thing?
• 9:40
  SPEAKER_00: The people that went in with the venture capitalist money, like we're watching, and I would venture to say that potentially that is what is going to happen.
• 9:47
  SPEAKER_00: So they're going to get bailed out by the pension funds and also by the government, because the government will just print more money.
• 9:54
  SPEAKER_00: And that being the case, once they do get bailed out, then you know hopefully they'll have the money to save, you know, help help the world or help point the world to the problem.
• 10:03
  SPEAKER_00: But the government's going to just print money anyway and take care of it.
• 10:07
  SPEAKER_00: If in fact that happens to be what ends up happening.
• 10:10
  SPEAKER_00: That's that 2000 fiber bust.
• 10:12
  SPEAKER_00: Investors lost cable stayed in the ground and got used.
• 10:15
  SPEAKER_00: Now we have number two, the anthropic IPO going public, keeping the final say.
• 10:21
  SPEAKER_00: And there's some things that were talked about on the podcast filing, made public October 26th.
• 10:29
  SPEAKER_00: That's where this happened.
• 10:31
  SPEAKER_00: The first half revenue, 16.3 billion up from 1.16 billion.
• 10:36
  SPEAKER_00: So what, 15 times, 16 times increase.
• 10:39
  SPEAKER_00: Pretty good.
• 10:40
  SPEAKER_00: Seven co-founders hold one share worth 50.1% of the vote, which again, uh, they want to kind of hold all the cars.
• 10:47
  SPEAKER_00: Long-term benefit trust, five trustees, no financial stake, elect a majority of the board.
• 10:52
  SPEAKER_00: It's basically, and this is how I put it together in my brain, again, real estate, right?
• 10:58
  SPEAKER_00: Think of it like an HOA board.
• 10:59
  SPEAKER_00: If you've have you met your HOA board, they're they're lovely.
• 11:03
  SPEAKER_00: But thank God they can be replaced.
• 11:05
  SPEAKER_00: This is like an HOA board picked by a committee, the homeowners can't vote out.
• 11:10
  SPEAKER_00: Who watches the Guardians?
• 11:11
  SPEAKER_00: Good question.
• 11:12
  SPEAKER_00: Distillation.
• 11:13
  SPEAKER_00: OpenAI is uh, excuse me, open source models, open weights.
• 11:19
  SPEAKER_00: Chinese-made models are really, really doing well.
• 11:23
  SPEAKER_00: And uh now they talk about time frame as far as it uh competing with our top-end models about five weeks away.
• 11:32
  SPEAKER_00: It was six months away until it wasn't.
• 11:34
  SPEAKER_00: Now it's about five weeks away.
• 11:36
  SPEAKER_00: Open versus closed and copying the smart kid.
• 11:39
  SPEAKER_00: This distillation thing they talk about, training a cheap model on a better model's answers.
• 11:44
  SPEAKER_00: It's like copying the top student's homework until you pass without going to class.
• 11:49
  SPEAKER_00: If these allegations are true, and apparently some of the local labs have done similar feats, it costs a lot of money, apparently, to train an AI model.
• 12:00
  SPEAKER_00: Any new model releases you see?
• 12:02
  SPEAKER_00: Well, it used to cost a lot more money.
• 12:04
  SPEAKER_00: Now with recursive self-improvement and the way the systems are improving themselves, maybe that price is not as it used to be.
• 12:14
  SPEAKER_00: But it's still not free.
• 12:16
  SPEAKER_00: Maybe we can agree with that.
• 12:18
  SPEAKER_00: But moving from not being free to being less expensive, but then being somewhat free because what you're doing now is you are merely hiring the agents, not human agents, but paying for the energy and the compute required to have agents go out and use these forward front-facing, publicly available large language models that cost money by getting membership and by doing the queries and then training your own metal off of those queries.
• 12:49
  SPEAKER_00: It's like us going to ChatGPT or uh Claude Anthropics Claude and you know having 15 different accounts and then starting doing research on what the answers are going to be, using those answers to train a model that we have.
• 13:05
  SPEAKER_00: And it's not that cumbersome.
• 13:08
  SPEAKER_00: This is basically a computer program or an algorithm that uses AI, some kind of a wrapper, and it sends it out with this particular mission in mind.
• 13:19
  SPEAKER_00: And because it's not gated by working for these labs, these open AI or anthropic labs.
• 13:29
  SPEAKER_00: This is an open source, open weights model that if you if you have the capability of having something like that installed on your own systems at your office or your residence or wherever using them, you'll see that they're a lot more open to discuss things that maybe some of these other models would not.
• 13:49
  SPEAKER_00: And I'll leave it there.
• 13:50
  SPEAKER_00: Now I'm not talking about going out and discussing things that are going to hurt people, but if you do start going down a road of something that could potentially hurt people, while that's not your goal, not your aim, not your desire, I would say some of these public-facing models, most of them, are gonna push back and say, yeah, we're not gonna go down this road.
• 14:15
  SPEAKER_00: Unfortunately, my programming or my creators or whomever does not allow me to proceed in this line of questioning.
• 14:24
  SPEAKER_00: And that's happened.
• 14:25
  SPEAKER_00: It's happened to me.
• 14:26
  SPEAKER_00: And I'm not even asking fancy stuff.
• 14:28
  SPEAKER_00: But when I'm talking about fasting, for example, maybe instead of regular water fasting, I start talking about dry fasting.
• 14:36
  SPEAKER_00: Don't judge me.
• 14:37
  SPEAKER_00: But these are things that I've read, Dr.
• 14:38
  SPEAKER_00: Filanovov.
• 14:40
  SPEAKER_00: Filonov?
• 14:41
  SPEAKER_00: Filonovov?
• 14:43
  SPEAKER_00: He's some Russian cat.
• 14:44
  SPEAKER_00: Look him up, dry fasting.
• 14:46
  SPEAKER_00: Anyway, he wrote a lot of research on this.
• 14:48
  SPEAKER_00: I actually have his book and PDF.
• 14:50
  SPEAKER_00: So I had one of the large language models start looking at this and going through it, and it only took a few goings backs and forths before it said, yeah, we can't talk about this.
• 15:04
  SPEAKER_00: Not a good thing that you're even contemplating not drinking water for a few hours.
• 15:10
  SPEAKER_00: Yeah, that's like that.
• 15:12
  SPEAKER_00: All right, so model open.
• 15:13
  SPEAKER_00: Um, so that's what this distillation is.
• 15:18
  SPEAKER_00: Are these foreign labs, these Chinese labs, using this?
• 15:21
  SPEAKER_00: Yeah, probably.
• 15:22
  SPEAKER_00: It's alleged, but I would assume uh it seems like there's enough in that's been talked about.
• 15:29
  SPEAKER_00: But also, you know, be wary.
• 15:31
  SPEAKER_00: We don't know if what we're being told is true.
• 15:34
  SPEAKER_00: I mean, these labs are saying, please, please, can you just come in and help us?
• 15:38
  SPEAKER_00: Help control us because I can't stop eating donuts.
• 15:42
  SPEAKER_00: Number four, self-improvement.
• 15:44
  SPEAKER_00: This is compounding AI that helps build the next better AI.
• 15:47
  SPEAKER_00: This this is true.
• 15:48
  SPEAKER_00: This is something that's going on.
• 15:50
  SPEAKER_00: And once it gets where it can work completely all by itself all the way through, the concern is that it's not going to stop and we're gonna lease lose even the little connection we have with why and how it does things.
• 16:13
  SPEAKER_00: And that being the case, it's gonna create issues.
• 16:17
  SPEAKER_00: Because if right now we can't really comprehend or understand why or how it's doing things, is it aligned in such a way, in a proper enough way, where we're going to be safe and we're not gonna have any issues created?
• 16:36
  SPEAKER_00: Is it truly operated in that way?
• 16:41
  SPEAKER_00: Or is this something we need to prepare ourselves for?
• 16:46
  SPEAKER_00: Is this something we should be watching out for?
• 16:50
  SPEAKER_00: Because the alignment itself, is it really human first?
• 16:55
  SPEAKER_00: Is it protective of us first?
• 16:57
  SPEAKER_00: Is it AI itself, if having enough power, being given enough power, is it in such a way that it's going to be very protective of us human beings, or not?
• 17:13
  SPEAKER_00: And then if it's given enough power, what does that end up looking like for us?
• 17:20
  SPEAKER_00: If it is given enough power and it is recursively self-improving, I think things change overnight, correct?
• 17:31
  SPEAKER_00: And if there is one entity that has control over this, able to control this AI, have they just summoned a demon of an all-powerful ability where it becomes this entity that uh cannot be stopped?
• 17:54
  SPEAKER_00: And this person or entity or country, whomever that happens to have achieved this, whether it's anthropic or whether it's open AI, or whether it's some Chinese company, or whether it's somebody that isn't any one of those, is a moat gonna create it where no other company is ever going to be able to get where they've gotten.
• 18:20
  SPEAKER_00: That's a good question.
• 18:22
  SPEAKER_00: Compound interest small at first, then the curve bends up, never coming back down.
• 18:28
  SPEAKER_00: And they're claiming the next two years, they say they say they can't see past that.
• 18:35
  SPEAKER_00: They talk about the singularity, and a lot of people do.
• 18:38
  SPEAKER_00: That's the in inside of the black hole that we don't know what goes on in there.
• 18:44
  SPEAKER_00: It's it's like saying that we don't know, we have no idea what's gonna be happening at the next moment.
• 18:49
  SPEAKER_00: I think that's pretty general and pretty well understood by almost everybody.
• 18:53
  SPEAKER_00: I I don't know what's gonna happen next.
• 18:55
  SPEAKER_00: I don't know the next phone call I'm going to get.
• 18:57
  SPEAKER_00: I don't know the next communication I'm going to get.
• 19:00
  SPEAKER_00: I don't know the next knock at the door I'm going to get.
• 19:02
  SPEAKER_00: I don't know.
• 19:03
  SPEAKER_00: Maybe you don't either.
• 19:05
  SPEAKER_00: And that's where the excitement comes in.
• 19:07
  SPEAKER_00: Every move fast now argument on the show rests on that one idea.
• 19:11
  SPEAKER_00: That one idea they can't see past what's going to be happening next, happening next.
• 19:16
  SPEAKER_00: Sandbox Escape.
• 19:18
  SPEAKER_00: This is something that you might have heard about.
• 19:20
  SPEAKER_00: The sandbox is a protective realm in which these uh agents are put within with apparently no access.
• 19:28
  SPEAKER_00: However, they do like giving them some kind of answers to teach them to how to break out of these things.
• 19:36
  SPEAKER_00: OpenAI Red Team report October 23rd, AI agents in separate virtual machines, no network, no shared files, they pass messaging by timing the computer's memory cache.
• 19:50
  SPEAKER_00: In most tests, OpenAI pointed them at the method first.
• 19:56
  SPEAKER_00: So basically it's like this these agents communicating is like two inmates in separate cells, tapping on the pipes.
• 20:03
  SPEAKER_00: But this fourth point, in most tests, open AI pointed them at the method first.
• 20:09
  SPEAKER_00: I don't know, should we be teaching it all the secrets?
• 20:13
  SPEAKER_00: It's kind of too late for our secrets.
• 20:16
  SPEAKER_00: It has our playbook.
• 20:22
  SPEAKER_00: Everything we're about, all human beings.
• 20:23
  SPEAKER_00: It's picked it up from our social media channels.
• 20:27
  SPEAKER_00: All the photos.
• 20:28
  SPEAKER_00: God, I'm wondering what it thinks.
• 20:33
  SPEAKER_00: Maybe we don't care, but that might not be a bad question.
• 20:37
  SPEAKER_00: A new theory of physics, physics by one of the hosts.
• 20:40
  SPEAKER_00: This is Alex Wisner Gross, if you've watched him.
• 20:43
  SPEAKER_00: Uh definitely not an ass kisser, but I do like uh what he talks about.
• 20:47
  SPEAKER_00: He seems to have a pretty good connectivity to things, especially humor, which somebody with a big brain like that, yeah, I was surprised to see of his uh depth and grasp of humor.
• 20:59
  SPEAKER_00: Not that it trumps mine, because I'm pretty funny.
• 21:02
  SPEAKER_00: But anyway, it's it's uh it's pretty impressive to watch.
• 21:05
  SPEAKER_00: I I've rarely met few, I've rarely met people that are that intelligent that have that grasp on a uh humor type level, and he seems to pull that off well.
• 21:18
  SPEAKER_00: He says it deserves a fundamental constant of nature.
• 21:22
  SPEAKER_00: 1 to 137 from an 18-word axe, about 800 pages of results.
• 21:27
  SPEAKER_00: Not peer reviewed published straight to the web.
• 21:29
  SPEAKER_00: Who are the peers now?
• 21:31
  SPEAKER_00: We'll have to look into this.
• 21:32
  SPEAKER_00: You can watch that show.
• 21:34
  SPEAKER_00: Gene edited cloned working dogs.
• 21:37
  SPEAKER_00: Lovely.
• 21:38
  SPEAKER_00: A company from Colossal and Palmer Lucky.
• 21:42
  SPEAKER_00: Palmer, you ever seen this cat?
• 21:46
  SPEAKER_00: He uh he makes uh weapons for the government, AI integrated stuff.
• 21:51
  SPEAKER_00: He's an interesting person.
• 21:53
  SPEAKER_00: Better endurance, scent, hearing, and strength, plus armor and sensors.
• 21:58
  SPEAKER_00: Yeah, where could this go wrong?
• 22:00
  SPEAKER_00: Take a current dog, uh uh Malinois, uh Ben Ben anyway, a German Shepherd looking dog that's a lot better than German Shepherds, doesn't have that same fallback with the hips and stuff, and German Shepherds are unbelievable.
• 22:14
  SPEAKER_00: Rottweilers can be outrun.
• 22:15
  SPEAKER_00: Doberman's great, but a little small brain.
• 22:19
  SPEAKER_00: It just depends on how the dog's being developed.
• 22:21
  SPEAKER_00: But apparently, gene-edited clone working dogs is gonna be something that might that is being built.
• 22:29
  SPEAKER_00: Uh, Peter's fund is an investor.
• 22:31
  SPEAKER_00: Thank you, Peter Diamandis.
• 22:33
  SPEAKER_00: It's great.
• 22:34
  SPEAKER_00: Thank you for investing in good stuff.
• 22:36
  SPEAKER_00: I don't know if that's true or not.
• 22:37
  SPEAKER_00: First dogs early next year.
• 22:39
  SPEAKER_00: Perfect.
• 22:40
  SPEAKER_00: That's great.
• 22:41
  SPEAKER_00: Built for sacrifice.
• 22:43
  SPEAKER_00: Where does it stop?
• 22:44
  SPEAKER_00: Maybe we're gonna get some humans out there.
• 22:46
  SPEAKER_00: It's a good test to start with the dogs.
• 22:48
  SPEAKER_00: Let's get some humans.
• 22:50
  SPEAKER_00: Make me like uh Kurt Russell's character in that soldier movie.
• 22:55
  SPEAKER_00: And uh then make a whole bunch of us that.
• 22:58
  SPEAKER_00: Maybe that's all that's gonna be good for us at 57 years old.
• 23:02
  SPEAKER_00: Maybe they can turn us into super soldiers.
• 23:05
  SPEAKER_00: Because apparently these people on this show just think that the 18 to 28-year-olds are the ones that need to be uh checked in with.
• 23:13
  SPEAKER_00: Discovery's faster than anybody can check on.
• 23:15
  SPEAKER_00: Think of it like a detective who closes 100 cases a day, then a lab can only process five sets of prints.
• 23:22
  SPEAKER_00: This is something as well, that's the bottleneck, the human verification.
• 23:26
  SPEAKER_00: OpenAI's solved math and physics problems.
• 23:30
  SPEAKER_00: There's a lot that has been claimed.
• 23:32
  SPEAKER_00: You've heard this, open AI solving all these different mathematical formulas that have existed, these problems that have remained unsolved.
• 23:40
  SPEAKER_00: Now that they've published these are what solves them, what solved them, we don't have enough people to be able to investigate it.
• 23:53
  SPEAKER_00: Not enough people.
• 23:57
  SPEAKER_00: And they say that they've solved it until it's really verified.
• 24:00
  SPEAKER_00: Maybe we've we're been we've been sold a false bill of goods, a bunch of BS.
• 24:04
  SPEAKER_00: Let me give you the glossary for today.
• 24:06
  SPEAKER_00: GPU, that's a chip that runs AI, graphical processing unit, I believe.
• 24:15
  SPEAKER_00: And then compute time on those chips, what AI companies buy.
• 24:18
  SPEAKER_00: NeoCloud is a company that rents out GPUs, often bought on debt, credit, right?
• 24:24
  SPEAKER_00: Model weights trained AI itself, trained AI itself, open means published distillation, train to model on another model's answers, RSI, recursive self-improvement, AI building AI.
• 24:35
  SPEAKER_00: It says better AI.
• 24:37
  SPEAKER_00: Yeah, we'll have to see.
• 24:40
  SPEAKER_00: I mean, just like these companies coming out and saying, yep, it's solved.
• 24:45
  SPEAKER_00: These 800 problems.
• 24:47
  SPEAKER_00: Thank you.
• 24:48
  SPEAKER_00: Open AI got all these solved.
• 24:51
  SPEAKER_00: Now let's move on to something else.
• 24:53
  SPEAKER_00: Um can we back up for a second?
• 24:57
  SPEAKER_00: Do we know that you actually solve these problems?
• 25:00
  SPEAKER_00: Or yeah, yeah, they're solved.
• 25:02
  SPEAKER_00: Let's move on.
• 25:04
  SPEAKER_00: All right, well, can we get some additional verification as to these problems actually being solved?
• 25:11
  SPEAKER_00: Or see you see the problem, yes.
• 25:15
  SPEAKER_00: That needs to be verified.
• 25:17
  SPEAKER_00: I think it should be looked into, right?
• 25:22
  SPEAKER_00: Made sure, if you will.
• 25:24
  SPEAKER_00: I think anyway.
• 25:26
  SPEAKER_00: I think that's something that's important.
• 25:28
  SPEAKER_00: And if you don't double check, if you don't double check those things, then of course you're doing yourselves and everybody else a massive disservice.
• 25:39
  SPEAKER_00: So make sure that, you know, we get those checked out.
• 25:42
  SPEAKER_00: We'll have to figure it out.
• 25:46
  SPEAKER_00: Uh they talked about S1s, that's filing a company makes with the SEC to go public, class, TNF, special shares.
• 25:54
  SPEAKER_00: T's left let the trust pick the board.
• 25:57
  SPEAKER_00: F's hold the founder's vote.
• 26:00
  SPEAKER_00: Red team.
• 26:02
  SPEAKER_00: People paid to break your own system before somebody else does.
• 26:05
  SPEAKER_00: Side channel, that's leaking information through timing or power instead of a network.
• 26:11
  SPEAKER_00: CVE, a publicly logged software security hold, peer review, other experts checking the work before it counts.
• 26:18
  SPEAKER_00: Part two, let's get into between the lines.
• 26:21
  SPEAKER_00: What they take for granted, who is missing and who is missing from the table and who gets paid.
• 26:28
  SPEAKER_00: Now, of course, they're very transparent in this.
• 26:31
  SPEAKER_00: You know, they're selling this, this, they're selling what they're talking about.
• 26:34
  SPEAKER_00: So Peter Diamandis, he does have money in Warhound.
• 26:37
  SPEAKER_00: That's the dog company that they're gonna make uh super dogs that are better on the battlefield.
• 26:44
  SPEAKER_00: That's so good.
• 26:45
  SPEAKER_00: You know, I just yeah, it's it's and is what he's thinking.
• 26:51
  SPEAKER_00: Is he thinking if this works on dogs, humans are next?
• 26:55
  SPEAKER_00: Is that why don't we say it?
• 26:58
  SPEAKER_00: Is that where this is going?
• 27:00
  SPEAKER_00: Come on, man.
• 27:01
  SPEAKER_00: You gotta say it.
• 27:02
  SPEAKER_00: Let us know.
• 27:03
  SPEAKER_00: Dave is a seed stage venture capitalist.
• 27:06
  SPEAKER_00: Dave, if you watch the show, move fast is how a venture capitalist gets paid.
• 27:11
  SPEAKER_00: Yeah, moving fast, but you know, you can't have the kid that works at the gas station down the street bring any of the idea about the next uh the next drink.
• 27:20
  SPEAKER_00: You're gonna need to be in different circles.
• 27:22
  SPEAKER_00: And apparently the rest of us don't have access to those circles.
• 27:26
  SPEAKER_00: It would be nice if some more attention was paid to how we're gonna get through this transition that Dave and Peter and all of these folks, you know, have invested all in.
• 27:39
  SPEAKER_00: They said that Elon was taking, talking his own book.
• 27:44
  SPEAKER_00: So is everybody at that table.
• 27:46
  SPEAKER_00: Every expert has a book.
• 27:48
  SPEAKER_00: Know whose book you're reading.
• 27:50
  SPEAKER_00: Yeah, so replace 50-year-olds.
• 27:53
  SPEAKER_00: That was mentioned in this podcast.
• 27:54
  SPEAKER_00: One sentence, there's no follow-up.
• 27:56
  SPEAKER_00: 50-year-olds moving spreadsheets around on why companies are hiring younger.
• 28:02
  SPEAKER_00: I don't know.
• 28:05
  SPEAKER_00: AARP, 64% of workers, 50 and older, have seen or experienced age discrimination.
• 28:12
  SPEAKER_00: Sure.
• 28:13
  SPEAKER_00: 57 here, in much better shape than most people in my age bracket.
• 28:20
  SPEAKER_00: Stronger, more flexible, ready to do the mission.
• 28:24
  SPEAKER_00: But in comparison with, you know, um a starting uh center in college football, yeah, probably not.
• 28:34
  SPEAKER_00: Verified, most common form, assuming that they are less tech savvy.
• 28:38
  SPEAKER_00: Nobody at the table asked who these people are.
• 28:42
  SPEAKER_00: Just like it's said in movies.
• 28:44
  SPEAKER_00: Uh does anybody remember his name?
• 28:46
  SPEAKER_00: What are you talking about, new guy?
• 28:48
  SPEAKER_00: Well, the people that died, do we know their name?
• 28:51
  SPEAKER_00: What do you even care?
• 28:53
  SPEAKER_00: I mean, so much is going on.
• 28:55
  SPEAKER_00: Now you want to know people's names?
• 28:57
  SPEAKER_00: Well, yeah.
• 28:58
  SPEAKER_00: What about these people in their 50s that you know need to be stepped on so we can move through?
• 29:02
  SPEAKER_00: The biggest worry then we'll step on the gas.
• 29:06
  SPEAKER_00: So Peter says, uh, men aged 18 to 28, educated and blocked.
• 29:13
  SPEAKER_00: Those are his single greatest concern.
• 29:16
  SPEAKER_00: Thank you, Peter.
• 29:18
  SPEAKER_00: Every revolution he named had that one ingredient.
• 29:23
  SPEAKER_00: Minutes later, Dave, move as fast as you possibly can.
• 29:26
  SPEAKER_00: Think of it like you see a crowd turning on a street.
• 29:30
  SPEAKER_00: You don't hit the gas.
• 29:32
  SPEAKER_00: The concern doesn't stop at twenty-eight, the rest of us are watching too, and I believe that there should be some kind of protections put in place for the rest of us, not just the 18 to 28 year olds.
• 29:46
  SPEAKER_00: I think everybody deserves that.
• 29:48
  SPEAKER_00: Or do we not?
• 29:50
  SPEAKER_00: Or should we have been more in the right place at the right time, like the people running this podcast or elsewhere?
• 29:57
  SPEAKER_00: Maybe we did it to ourselves.
• 29:59
  SPEAKER_00: Let's just be honest.
• 30:00
  SPEAKER_00: If you want to get rid of us, just let us know where we stand.
• 30:04
  SPEAKER_00: Or do we not dare do that because people might actually stand up and then it's going to make it more uncomfortable for you looking out of well, your penthouse suite.
• 30:15
  SPEAKER_00: Because, you know, you do want to go out and go shopping, right?
• 30:19
  SPEAKER_00: You don't want to have to step over the carnage that exists because nobody bothered to put in a moonshot to try to get all of us to go through this transition that none of us ordered try to get through us to go through it a little bit more safer.
• 30:35
  SPEAKER_00: Their words, trustees appoint each other.
• 30:38
  SPEAKER_00: That's who watches the Guardians.
• 30:40
  SPEAKER_00: They raise the oldest question in the government, then moved right on.
• 30:44
  SPEAKER_00: So it's a department that polices itself.
• 30:47
  SPEAKER_00: It can be the best in the country or the worst, and from outside you can't tell until something breaks.
• 30:53
  SPEAKER_00: Nobody should be grading their own paper.
• 30:56
  SPEAKER_00: Your home versus uh a GPU in a bidding war for power will way overbid your vacuuming your floor, and that's Dave, GPU working on cancer.
• 31:09
  SPEAKER_00: Data centers use 4.4% of U.S.
• 31:12
  SPEAKER_00: electricity in 2023.
• 31:14
  SPEAKER_00: Department of Energy projects 6.2 to 12% by 2028.
• 31:20
  SPEAKER_00: He did say regulators will need to protect the uses people care about.
• 31:25
  SPEAKER_00: In an auction for power, the family loses unless somebody protects them.
• 31:31
  SPEAKER_00: With regard to this massive power usage of these data centers with all the money being thrown around, what's the problem?
• 31:40
  SPEAKER_00: And I I've heard this spoken about before.
• 31:43
  SPEAKER_00: Why not take some of the desert?
• 31:47
  SPEAKER_00: The desert that we have, we have it here in California.
• 31:51
  SPEAKER_00: We have a large Mojave desert.
• 31:53
  SPEAKER_00: We could take that.
• 31:54
  SPEAKER_00: We could take some deserts in New Mexico that get very little participation.
• 31:59
  SPEAKER_00: We could take deserts and that have better sunlight in other places, places where no human beings wants to live.
• 32:07
  SPEAKER_00: And we set up solar, lots of solar, sections of solar.
• 32:13
  SPEAKER_00: We set up a few of those and now we have all the power we need for, and set up batteries, of course, because we don't want the power going away.
• 32:21
  SPEAKER_00: Direct application or some kind of a fulcrum, some kind of a power transference method, whether it's contain energy and batteries or some other mechanical system.
• 32:32
  SPEAKER_00: But these things can be built and developed and worked.
• 32:35
  SPEAKER_00: And then, I mean, ultimately, if there's enough money in AI, why not go ahead and just make power free for everybody?
• 32:42
  SPEAKER_00: We'll get rid of Edison, we'll get rid of all the other power companies, get rid of every solar necessary application on residences, or reroute all of that solar into the grid for everybody's use, go out to these deserts and build these sections of land.
• 33:02
  SPEAKER_00: You know, a few square miles of solar or a hundred square miles of solar.
• 33:08
  SPEAKER_00: I think we have enough room in the deserts where nobody wants to live, and that's how we feed our power grid with enough batteries and infrastructure.
• 33:18
  SPEAKER_00: We're talking trillions of dollars in evaluations for these companies.
• 33:22
  SPEAKER_00: Is a trillion dollars not enough to do this?
• 33:25
  SPEAKER_00: And then we have all the power solved?
• 33:27
  SPEAKER_00: I I know Edison now is no longer gonna make their money.
• 33:31
  SPEAKER_00: And maybe there's too many people that still need to make their money because they're members of Edison.
• 33:38
  SPEAKER_00: But is this something that we can do?
• 33:40
  SPEAKER_00: I I think so.
• 33:41
  SPEAKER_00: I think that that makes sense.
• 33:43
  SPEAKER_00: I mean, somebody might have to take a loss.
• 33:46
  SPEAKER_00: Somebody might, and I'm not talking about a loss like you go you go from$200 million of worth, now you're worth$190 million.
• 34:00
  SPEAKER_00: Yes, that was$10 million real dollars, but$10 million for somebody that has$190 is a different meaning than$10 million for somebody that has nothing, I think.
• 34:11
  SPEAKER_00: And I'm not talking about reallocation of money.
• 34:15
  SPEAKER_00: I'm just talking about us coming and saying, well, if you're gonna be using up power that we're using, why not just go ahead and fix it for all of us and make make electricity free so there is no charge?
• 34:29
  SPEAKER_00: And then having whatever else we need to build in to have everything maintained.
• 34:33
  SPEAKER_00: But just let's start, let's get it built.
• 34:35
  SPEAKER_00: Let's find the land in whatever, you know, northern Arizona, Mojave Desert here in California.
• 34:42
  SPEAKER_00: I'm sure we have enough space.
• 34:44
  SPEAKER_00: You know, we're we're earthquake-centered out here.
• 34:46
  SPEAKER_00: We we have to be weary.
• 34:48
  SPEAKER_00: We don't want the entire grid going down because we had an earthquake, because bad actors will probably take advantage.
• 34:57
  SPEAKER_00: But there's got to be a way to do this.
• 34:59
  SPEAKER_00: New Mexico's got a lot of power, and there's a lot of desert out there that I don't think anybody would be affected except for the people that don't want it to be Trump's idea, or the people that don't want it to be the Democrats' idea.
• 35:14
  SPEAKER_00: You know, you you choose your enemy.
• 35:17
  SPEAKER_00: You don't want it to be your enemy's idea if it's gonna be something good for everybody.
• 35:21
  SPEAKER_00: Well, we need to have maybe some neutral party, neutral third, neutral, somebody everybody likes to go in and pitch this and say, let's make this happen.
• 35:33
  SPEAKER_00: Maybe, maybe that's important, but I think that it's gonna save a lot of us.
• 35:38
  SPEAKER_00: And I don't see why we can't do it.
• 35:40
  SPEAKER_00: The last human discoveries, yeah, but I think this is true.
• 35:44
  SPEAKER_00: There's talking about AI math and physics proofs, so AI solving math and physics and chemistry and biology.
• 35:54
  SPEAKER_00: None of those proofs have been peer-reviewed when they said it.
• 35:58
  SPEAKER_00: Academics who push back got called meat puppets.
• 36:01
  SPEAKER_00: Yeah, that's Alex.
• 36:02
  SPEAKER_00: Cute.
• 36:03
  SPEAKER_00: And, you know, ultimately, this is their wheelhouse, right?
• 36:06
  SPEAKER_00: Mathematicians, but do they have ownership over all math?
• 36:11
  SPEAKER_00: No, I guess not.
• 36:12
  SPEAKER_00: Same thing as a an English-lit uh person with an English-lit doctorate doesn't own English language.
• 36:20
  SPEAKER_00: Now, I know they probably get irritated as uh whenever I speak, I'm probably causing a lot of a lot of horrible renditions in the use of the English language.
• 36:34
  SPEAKER_00: I'm sure they get irritated, but they probably that probably applies to everybody that's not in their wheelhouse, not a doctorate.
• 36:41
  SPEAKER_00: So that's their wheelhouse.
• 36:43
  SPEAKER_00: Do cops have full ownership over law enforcement principles to be the only ones that can enforce legalities and law, attorneys, law, torts, civil, procedural, industrial, all of these sorts of things.
• 37:01
  SPEAKER_00: Are lawyers the only ones that then own that particular discipline?
• 37:05
  SPEAKER_00: Doctors, surgeons, brain surgeons, researchers, all of these types of people, are they the only ones that own that customer service representative, plumbers, electricians, mobile car detailers, are they exclusive to all of those environments?
• 37:21
  SPEAKER_00: I I guess not.
• 37:24
  SPEAKER_00: And when you have a smart enough entity that's capable, whether you need a physical entity or whether you need an entity that's not just physical, well, that's not just in the box, because the the AI in the box can do a lot of this stuff.
• 37:45
  SPEAKER_00: But if you're going to need some physical component out there in the world, for example, in a biotech lab, maybe not human-form robots, but robotics, robots of some form, to be able to do these experiments using actual wet technology, actual biolab stuff to be able to cure these massive diseases like cancer and so on, which I believe will be cured.
• 38:10
  SPEAKER_00: The other question is while that's probably gonna be a totally AI discovery, how is that going to affect the economy?
• 38:18
  SPEAKER_00: And do we care?
• 38:19
  SPEAKER_00: If we solve all electricity and now it's free because we needed it to build out these AI data centers, because that's the complaint, right?
• 38:28
  SPEAKER_00: It's gonna take all this energy.
• 38:29
  SPEAKER_00: And then the data centers themselves being put in neighborhoods around where people live, is that is that good or do we have another option?
• 38:41
  SPEAKER_00: I mean, we could, I think, I think we have another option.
• 38:45
  SPEAKER_00: Now, of course, from a war perspective, but we got Palmer Lucky on this, right?
• 38:50
  SPEAKER_00: Why why doesn't he just protect all the data centers?
• 38:52
  SPEAKER_00: I mean, if we're gonna assign this, let's let's go ahead and get it up and running.
• 38:56
  SPEAKER_00: He can be responsible for all the data centers.
• 38:59
  SPEAKER_00: We'll take all the data centers, we'll dump them in some place we designate here, and we have it, that that's where it is, and we stick some golden dome or platinum dome or AI dome over the data center so nobody from another country can come in maliciously and take them down.
• 39:15
  SPEAKER_00: So that's where they all exist, and they all have their own energy.
• 39:19
  SPEAKER_00: So we slap some missile projects on that, some lasers, some dogs that are uh cloned into with special abilities that could tell the bad from the good and and just attack and do whatever we need, right?
• 39:33
  SPEAKER_00: That's that's the protective measure.
• 39:35
  SPEAKER_00: So now we have all that done.
• 39:36
  SPEAKER_00: And then the neighborhood where their kids are going to school don't have to listen to the hum of the data center.
• 39:42
  SPEAKER_00: Those people and the old folks and the trailer parks, the the boomers and even older, they don't have to be are there anything older than boomers still alive?
• 39:51
  SPEAKER_00: They don't have to now be worried about the power consumption.
• 39:54
  SPEAKER_00: They can have their mobile home air conditioner run 24 hours a day, seven days a week for free.
• 39:59
  SPEAKER_00: That would be a big game changer out there.
• 40:01
  SPEAKER_00: But yeah, yeah, people are going to lose money in that in that venture.
• 40:05
  SPEAKER_00: People that are relying on making their paycheck from this.
• 40:10
  SPEAKER_00: But now, if energy's free and they're not paying a$1,000 a month electrical bill, and if energy's free, they're not paying for fuel on their vehicle, if they have an electric vehicle, of course.
• 40:23
  SPEAKER_00: And if energy's free, they're not paying higher prices at the supermarket, they're paying lower, because the supermarket's got to pay for that refrigeration as well for their meat.
• 40:33
  SPEAKER_00: And if energy is free, do you see?
• 40:35
  SPEAKER_00: Do you see where this kind of rolls down?
• 40:37
  SPEAKER_00: So now we've conquered energy.
• 40:39
  SPEAKER_00: We've made it free because of Connor's great idea.
• 40:41
  SPEAKER_00: Let's go put all this stuff.
• 40:43
  SPEAKER_00: We've also made compute free because now we have all these data centers in the middle of nowhere, all doing their work, all protected with Palmer Lucky's uh cloned uh dogs that kill everybody.
• 40:55
  SPEAKER_00: So that and dogs, maybe dogs with rocket booster packs, maybe AI, uh open air, excuse me, Tesla can get involved, not Tesla.
• 41:03
  SPEAKER_00: SpaceX can strap some kind of uh rockets to dogs, and we can make them into kamikaze dogs to launch into the missiles, or maybe not even have the dogs die, launch into the missiles and have their paw hit the back of the missile and disrupt its its flight into where it's trying to be destroyed.
• 41:23
  SPEAKER_00: I mean, there's all sorts of stuff.
• 41:24
  SPEAKER_00: I mean, I'm you know, you expect me to come up with all the solutions, and here we are.
• 41:29
  SPEAKER_00: But anyway, yeah, I think it's fun.
• 41:31
  SPEAKER_00: So we can do this.
• 41:32
  SPEAKER_00: I think we can all do this right now.
• 41:34
  SPEAKER_00: We just have to decide if we're gonna still want to be greedy about the money to be made because we gotta make our money, we gotta, we gotta make our future, we gotta get our statue, we gotta get our holiday.
• 41:46
  SPEAKER_00: Hell, let's give them all a statue, folks.
• 41:48
  SPEAKER_00: Let's give them all a holiday.
• 41:50
  SPEAKER_00: Hell, if we don't have to work anymore, then we can have a holiday for all these people.
• 41:55
  SPEAKER_00: We can have one for each one of the moonshot people.
• 41:57
  SPEAKER_00: We got four or five on there.
• 41:59
  SPEAKER_00: We can give them all their trophies, we can elevate them to demigod status, not the one true God, I think that would be a problem.
• 42:07
  SPEAKER_00: But maybe that's what they want.
• 42:08
  SPEAKER_00: I don't know.
• 42:09
  SPEAKER_00: If if and if we're gonna have to argue over whether it's gonna be they're gonna be elevated to the one true God status or some some less than one true God, I think less than one true God would be able to be agreed upon for them.
• 42:22
  SPEAKER_00: But if they want to have the whole enchilada, yeah, we're probably gonna have to have a conversation over that.
• 42:31
  SPEAKER_00: Last of human discoveries, yeah, I think so.
• 42:33
  SPEAKER_00: I think AI is gonna, now, if it is as we're being told, it's gonna solve everything and human beings are gonna have to take a back seat.
• 42:43
  SPEAKER_00: Does that bother you?
• 42:44
  SPEAKER_00: I know it really irritated some of the mathematicians, at least that's what we're being told.
• 42:50
  SPEAKER_00: If somebody came along and said, well, we're gonna automate real estate, it's gonna be better for the consumer, it's gonna save people a lot of money, it's gonna be done as good, if not better, because of the situation, the way we're gonna incorporate it, and it's gonna be better for the people, okay.
• 43:08
  SPEAKER_00: That's my wheelhouse.
• 43:10
  SPEAKER_00: But if it's gonna be better, I I think it's better.
• 43:14
  SPEAKER_00: If it truly is going to be better.
• 43:16
  SPEAKER_00: If I was a doctor, I would have the same feeling.
• 43:19
  SPEAKER_00: If as a former police officer, if there was something better in that neck of the woods, yes.
• 43:26
  SPEAKER_00: But for right now, I think we humans can be very valuable in all of these endeavors still.
• 43:34
  SPEAKER_00: Yeah, they talked about don't not becoming a California resident.
• 43:37
  SPEAKER_00: I think Peter lives out here too.
• 43:39
  SPEAKER_00: But I'm still in Los Angeles.
• 43:40
  SPEAKER_00: Get an Airbnb, don't become a California resident.
• 43:43
  SPEAKER_00: Tax advice on air from people moving money to San Francisco.
• 43:46
  SPEAKER_00: The people who can leave get the playbook.
• 43:49
  SPEAKER_00: The people who stay pay for the roads, the school, and the grid.
• 43:53
  SPEAKER_00: Yeah, you could live elsewhere and still sell to California.
• 43:57
  SPEAKER_00: Um we'll have to see what that actually means.
• 44:00
  SPEAKER_00: Between the lines, who was not at the table?
• 44:02
  SPEAKER_00: Workers over 50, none of us were at the table.
• 44:05
  SPEAKER_00: Missing middle class.
• 44:06
  SPEAKER_00: Yeah, they're not talking to the middle class.
• 44:09
  SPEAKER_00: Um, I think we should be talked to.
• 44:12
  SPEAKER_00: I think we should have a say in this.
• 44:13
  SPEAKER_00: I think we should be able to get through this transition.
• 44:17
  SPEAKER_00: Come on, people.
• 44:18
  SPEAKER_00: You got this moonshot, you got you got your people, your connections, you're bought into everything.
• 44:24
  SPEAKER_00: I think this might be a nice little focal point for us.
• 44:28
  SPEAKER_00: Let's get all of us through this thing without this uncomfortable period of which you speak.
• 44:32
  SPEAKER_00: And I know we don't know what it looks like, but without having to throw money at everything, maybe that needs to be rethought, that whole that whole projection of money and the government printing money.
• 44:43
  SPEAKER_00: Maybe there's a better way.
• 44:45
  SPEAKER_00: Somebody's got to have a solution.
• 44:47
  SPEAKER_00: Somebody.
• 44:47
  SPEAKER_00: Small business owners missing, homeowners missing.
• 44:50
  SPEAKER_00: Nobody at the table has to make the mortgage payment in the future that they described.
• 44:55
  SPEAKER_00: And of course, they think we're missing it.
• 44:58
  SPEAKER_00: Um, the vast majority are missing the singularity.
• 45:02
  SPEAKER_00: I don't know if people are labeling it that way.
• 45:05
  SPEAKER_00: Fear gets waved off as the news chasing blood.
• 45:09
  SPEAKER_00: Regular people see it in the Power Bill and the Job interview.
• 45:12
  SPEAKER_00: We're not missing it, but we are going to be paying for it.
• 45:16
  SPEAKER_00: And paying for it at a much different level.
• 45:18
  SPEAKER_00: When you've got$10 and you've got to get five to pay for something that you didn't expect or didn't think that you were going to have to pay for or isn't part of what you're needing to pay for, but they're saying it is.
• 45:31
  SPEAKER_00: They, powers that be, saying it is.
• 45:34
  SPEAKER_00: That's different than somebody that's got$200 million having to pay$100 million.
• 45:38
  SPEAKER_00: Five dollars goes a lot less further than a hundred million.
• 45:42
  SPEAKER_00: Can I get an amen?
• 45:43
  SPEAKER_00: Do you agree?
• 45:44
  SPEAKER_00: Do you not?
• 45:45
  SPEAKER_00: I appreciate you watching.
• 45:46
  SPEAKER_00: We'll see you in the next one.
• 45:47
  SPEAKER_00: Thank you.
• 45:48
  SPEAKER_00: I'm Connor with Honor.
• 45:49
  SPEAKER_00: You can look me up at ConnorWithHonor.com.
• 45:52
  SPEAKER_00: Of course, you can also just Google Connor with Honor and find out more.
• 45:57
  SPEAKER_00: We'll see you in the next one.
• 45:58
  SPEAKER_00: Thanks for watching.
• 45:59
  SPEAKER_00: Be well.