Latest / Connor with Honor: AI, Real Estate and Real Life / The Moonshots Podcast, Part 1: Neoclouds, Anthropic, and Who Pays

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The Moonshots Podcast, Part 1: Neoclouds, Anthropic, and Who Pays · Connor with Honor: AI, Real Estate and Real Life

• 0:00
  SPEAKER_00: So I want to talk about NeoClouds first.
• 0:01
  SPEAKER_00: What is a NeoCloud?
• 0:03
  SPEAKER_00: I have no idea.
• 0:03
  SPEAKER_00: So I had to really look it up and really wrap my mind around it.
• 0:06
  SPEAKER_00: So this is what it is.
• 0:07
  SPEAKER_00: And it's very reminiscent of people that bought a whole lot of properties to rent out for two reasons.
• 0:12
  SPEAKER_00: They thought rents were always going to continue to go up.
• 0:14
  SPEAKER_00: That makes sense, right?
• 0:16
  SPEAKER_00: You buy a whole bunch of properties that rent in the black.
• 0:18
  SPEAKER_00: So there's a profit with each one, even if it's a sliver of a profit.
• 0:22
  SPEAKER_00: Because if you're buying in a market, not like Texas or Oklahoma, but maybe more like Southern California or New York, those rents are going to keep going up, depending on where you are.
• 0:31
  SPEAKER_00: If you're in Los Angeles, it's probably not the best place.
• 0:34
  SPEAKER_00: But if you're one of the cities around Los Angeles, doesn't have rent control, well, you might be able to call your shot every time your tenant moves out and you get somebody new in there, raise the prices.
• 0:42
  SPEAKER_00: And of course, with the Palisades fire and all this other horse crap that happened out here, we have a lot of those issues.
• 0:48
  SPEAKER_00: So of course, that made that was a good bet.
• 0:51
  SPEAKER_00: So NeoClouds are companies that go out and buy these NVIDIA chips.
• 0:55
  SPEAKER_00: These are computer chips.
• 0:56
  SPEAKER_00: They're companies that borrowed money to buy these chips and rent them out.
• 1:00
  SPEAKER_00: So it's just like an investor, just like I mentioned, goes out and buys 40 rentals on credit, betting that those rents are going to keep climbing.
• 1:08
  SPEAKER_00: Also, in the rental world, they're hoping that those properties are going to become worth more money.
• 1:13
  SPEAKER_00: So when their exit strategy happens and they're going to jump out of the market, they're able to sell these houses for a main profit.
• 1:19
  SPEAKER_00: We saw a lot of people buying all these residential real estates up from 2003, 2004, 2005, really.
• 1:25
  SPEAKER_00: So that's what happens with the NeoCloud.
• 1:27
  SPEAKER_00: So if rent's soften, that owner is gonna, uh, with the most debt and all other income is gonna lose the properties first, of course.
• 1:34
  SPEAKER_00: And the panel says NeoCloud stocks are down 30 to 40 percent and expects about 200 of them to fold emerge, the panel.
• 1:42
  SPEAKER_00: Moonshots podcast, right?
• 1:44
  SPEAKER_00: Now that comparison is the 2000 fiber bust.
• 1:47
  SPEAKER_00: The investors lost money, but the cable stayed in the ground and then got used.
• 1:51
  SPEAKER_00: In this case, these chips are still here.
• 1:54
  SPEAKER_00: These companies went in and buy them to rent them out to people, and they're still valuable.
• 1:58
  SPEAKER_00: But as technology progresses, fiber's fiber.
• 2:02
  SPEAKER_00: And maybe fiber can get a little bit more valuable, but chips are being built out with better technology every single day.
• 2:08
  SPEAKER_00: It's going from being nanoscale, nanotechnology wiring to light, light uh portals of light and some of these, God, what do they call?
• 2:18
  SPEAKER_00: Luminescent chips or something.
• 2:20
  SPEAKER_00: And then silicone being kind of the base layer of production for silicone-based uh chips, that's probably going to change as well because what have we done?
• 2:31
  SPEAKER_00: Well, we got intelligence strapped onto this.
• 2:33
  SPEAKER_00: This isn't like some previous evolution as far as revolution in the world.
• 2:38
  SPEAKER_00: This is a real a real deal.
• 2:41
  SPEAKER_00: So it's all based on intelligence.
• 2:44
  SPEAKER_00: Real deal.
• 2:44
  SPEAKER_00: God, it's so low-hanging.
• 2:46
  SPEAKER_00: It's based on intelligence, and intelligence is the whole enchilada, more low-hanging.
• 2:51
  SPEAKER_00: Anthropic IPO and the long-term benefit trust.
• 2:54
  SPEAKER_00: So I asked Claude to help me uh put this stuff together.
• 2:58
  SPEAKER_00: And it's nice.
• 2:59
  SPEAKER_00: It says this.
• 3:00
  SPEAKER_00: One thing to know, I'm Claude, made by Anthropic.
• 3:03
  SPEAKER_00: Weigh what I say about Anthropics IPO, and it's trust with that in mind.
• 3:08
  SPEAKER_00: Yeah, of course.
• 3:09
  SPEAKER_00: Thank you very much, Claude.
• 3:10
  SPEAKER_00: The first anthropic IPO, and I'm not concerned about them.
• 3:14
  SPEAKER_00: I'm concerned about the people talking about them.
• 3:18
  SPEAKER_00: These people that are running these companies, they're gonna be who they are, I have no doubt.
• 3:23
  SPEAKER_00: Whether it's horribly good, horribly bad, horribly in the middle, horribly whatever, they're gonna do everything.
• 3:29
  SPEAKER_00: It's these people that are doing these podcasts, these venture capitalists, these people that are all in at the beginning that continue to talk about this uncomfortable period of time that's going to uh be had by all of us, not them, the rest of us, the people of us that are at ground floor watching all of this happen.
• 3:50
  SPEAKER_00: It's gonna be us that are gonna be out uncomfortable.
• 3:53
  SPEAKER_00: And their pain point, as they say, probably, and they don't say this, but I'm I'm opining that their pain point's gonna be watching, watching us poor people battle it out like gladiators on the street to get our next food to eat, seems.
• 4:10
  SPEAKER_00: I hope that's not the case.
• 4:11
  SPEAKER_00: But they have all the correct positioning.
• 4:14
  SPEAKER_00: And was I lazy?
• 4:16
  SPEAKER_00: Was I too fat at the time?
• 4:18
  SPEAKER_00: Did I not move forward?
• 4:19
  SPEAKER_00: Did I not room with the right guy in college?
• 4:22
  SPEAKER_00: God, the guy I room with is a guy named Drew.
• 4:25
  SPEAKER_00: And he was got before Goth was something.
• 4:28
  SPEAKER_00: He had piercings and everything, which nothing wrong with piercings, but that was my roommate.
• 4:32
  SPEAKER_00: He he's not a Mark Zuckerberg type or uh who are these other people?
• 4:37
  SPEAKER_00: A Sam Altman or any Elon Musk.
• 4:40
  SPEAKER_00: No, just Drew.
• 4:41
  SPEAKER_00: It was Drew.
• 4:43
  SPEAKER_00: Anyway, that was my roommate in college.
• 4:46
  SPEAKER_00: Not that I didn't try, I didn't go to Stanford, though, it was Eastern New Mexico University, go Greyhouse.
• 4:51
  SPEAKER_00: So there was that one as well.
• 4:53
  SPEAKER_00: But maybe they think the rest of us don't deserve to make it through this uncomfortable period of time.
• 4:59
  SPEAKER_00: Could that be?
• 5:00
  SPEAKER_00: See, when they say it's gonna be a little uncomfortable, come on, folks.
• 5:05
  SPEAKER_00: Is it is it really?
• 5:06
  SPEAKER_00: Yes, I think it will be.
• 5:08
  SPEAKER_00: And when they say it like that, it's like the doctor about to spinal tap you, saying you're gonna feel a little pressure.
• 5:15
  SPEAKER_00: That's not pressure.
• 5:16
  SPEAKER_00: That is the worst pain I think I have ever felt.
• 5:20
  SPEAKER_00: That was ugly.
• 5:22
  SPEAKER_00: That's that's that's not even fun to joke about.
• 5:25
  SPEAKER_00: Same with a catheter, not a good thing.
• 5:27
  SPEAKER_00: It's not a little pressure, it's incredibly painful.
• 5:31
  SPEAKER_00: So they're saying that this is gonna be a little uncomfortable.
• 5:35
  SPEAKER_00: Maybe that's why he talks about Diamandus, these other people on there, that they're they're biggest because there's the 18 to 29 year olds.
• 5:42
  SPEAKER_00: Because us people are watching and saying, yeah, this isn't sounding too good.
• 5:47
  SPEAKER_00: And even though they're on the side of the young people, those young people have no reference.
• 5:52
  SPEAKER_00: I don't know who's more dangerous, but I do know that I think you and I, if you're in the X gen or the uh gen above this, the boomers, you know, boom, boom, boom.
• 6:05
  SPEAKER_00: There's a lot of things that go on out there.
• 6:06
  SPEAKER_00: Anyway, be careful with that.
• 6:08
  SPEAKER_00: Don't go out there hurting anybody.
• 6:09
  SPEAKER_00: I'm just saying let's keep going.
• 6:14
  SPEAKER_00: The S1 OPA uh IPO filing made public October 26th.
• 6:19
  SPEAKER_00: That first half revenue was 16.3 billion against 1.16 billion from a year earlier.
• 6:24
  SPEAKER_00: Great, great, 16 times increase-ish.
• 6:27
  SPEAKER_00: Uh the seven co-founders hold a single share, 50.1% of the vote.
• 6:31
  SPEAKER_00: Five trustees with no financial stake, elect a majority of the board.
• 6:35
  SPEAKER_00: It's like a homeowners association whose board is picked by a committee that homeowners can't vote out, which is like kind of almost the perfect scenario.
• 6:45
  SPEAKER_00: And that protects the mission from short-term pressure, but no outsider can check it, which I mean, that's a lot of power inside of a company.
• 6:54
  SPEAKER_00: I think OpenAI is configured differently.
• 6:56
  SPEAKER_00: I think XAI, they're being run by one cat, but I think there might be different configurations.
• 7:01
  SPEAKER_00: But this is this is how they're baking it in.
• 7:04
  SPEAKER_00: And again, they these people up at the top that are building the south are going to do what they're going to do.
• 7:09
  SPEAKER_00: And the only reason why they would stop is if they're made to stop.
• 7:14
  SPEAKER_00: And even if they were made to stop, they probably really wouldn't stop because there's no way to like take a Geiger counter in and say, well, you're you're still building this superintelligence.
• 7:24
  SPEAKER_00: You still have recursive self-improvement working over and over and over.
• 7:28
  SPEAKER_00: You still have all of these things.
• 7:29
  SPEAKER_00: No, there's no there's no Geiger counter that can detect superintelligence being maintained on some wafer in some garage, in some house in the middle of the Arizona desert, in some airstream trailer with a donkey tight outside and solar power.
• 7:44
  SPEAKER_00: There's no way to determine and find that out.
• 7:47
  SPEAKER_00: And that's where one of these systems could be housed and held that it's being held to try to be hidden from the inspectors that go in and are looking for this development of technology.
• 7:57
  SPEAKER_00: Couldn't it be?
• 7:58
  SPEAKER_00: I don't know.
• 7:58
  SPEAKER_00: I think it could be.
• 7:59
  SPEAKER_00: I think that's and and then, you know, the smarter they get in this stuff, they're going to be able to write this AI, these AI systems on all sorts of stuff.
• 8:08
  SPEAKER_00: Maybe head of a pen, the top of a pencil, uh, maybe on a piece of dental floss.
• 8:13
  SPEAKER_00: Who knows?
• 8:14
  SPEAKER_00: Maybe on the testosterone I take.
• 8:16
  SPEAKER_00: I don't know.
• 8:16
  SPEAKER_00: Could be in there.
• 8:17
  SPEAKER_00: Right.
• 8:17
  SPEAKER_00: So distillation and versus open versus closed models.
• 8:21
  SPEAKER_00: This is just a little bit of literature as far as when they got into the podcast.
• 8:25
  SPEAKER_00: So distillation means training a cheap model on a better model's answers.
• 8:29
  SPEAKER_00: So it's like copying the top student's homework.
• 8:32
  SPEAKER_00: We all knew the top student.
• 8:33
  SPEAKER_00: If you were a jock, you always knew those people until you can pass that test but without having to go to class.
• 8:38
  SPEAKER_00: And of course, closed models, that's anthropic at OpenAI, they keep their weights private.
• 8:44
  SPEAKER_00: Open models, mostly Chinese models, publish them for anybody to run.
• 8:51
  SPEAKER_00: The panel says the gap between the two is down to about five weeks.
• 8:54
  SPEAKER_00: That's their claim.
• 8:55
  SPEAKER_00: And this is the group, this is the Moonshots podcast.
• 8:57
  SPEAKER_00: Five weeks.
• 8:58
  SPEAKER_00: Not too long ago was six months.
• 9:00
  SPEAKER_00: That was the spread.
• 9:01
  SPEAKER_00: Well, probably six months ago.
• 9:03
  SPEAKER_00: Actually, five, four months and three weeks ago, it was probably six months.
• 9:08
  SPEAKER_00: Now we're five weeks away.
• 9:10
  SPEAKER_00: And no matter how they're learning, whenever, and apparently this is what's happening.
• 9:17
  SPEAKER_00: We have these neo-cloud companies hoarding all the chips or buying all the chips to rent them out because they see profit there.
• 9:23
  SPEAKER_00: They see as something that they can sell there.
• 9:26
  SPEAKER_00: We have the chips not being offered to China, the best chips.
• 9:29
  SPEAKER_00: Now, it's it's hard for me to believe.
• 9:31
  SPEAKER_00: B and I come from law enforcement and all this stuff.
• 9:34
  SPEAKER_00: It just, is it really true they're working with shitty chips on the on the uh Chinese model site?
• 9:41
  SPEAKER_00: And because of that, they were forced to come up and develop better innovative strategies to get those chips to work better than us.
• 9:48
  SPEAKER_00: If that's the case, God forbid they ever get the good chips, if in fact we are in a fight with these people, because I really don't know about, and that's what they're saying.
• 9:58
  SPEAKER_00: Beware of the Chinese winning this thing, because if they get the superintelligence before us, they're gonna win.
• 10:04
  SPEAKER_00: And apparently that trophy is pretty big.
• 10:06
  SPEAKER_00: Apparently.
• 10:07
  SPEAKER_00: Now, some people are of the mindset that there's gonna be all these different superintelligences running various governments in the world, everybody kind of talking to everybody else.
• 10:18
  SPEAKER_00: Superintelligence, Russia's gonna have theirs, we're gonna have ours, Ukraine's gonna have theirs, France, you name it, right?
• 10:25
  SPEAKER_00: So all these different superintelligences.
• 10:27
  SPEAKER_00: I think that's probably not accurate.
• 10:30
  SPEAKER_00: I think, and again, my brain is about 40 watts.
• 10:36
  SPEAKER_00: Is that what that the brain is?
• 10:38
  SPEAKER_00: Yeah, this is a little different.
• 10:39
  SPEAKER_00: These are gigawatts of energy running these things, and my brain says, yeah, I don't know if it's going to be a whole bunch or just one, because once one happens, whatever superintelligence looks like, whatever it truly means, because there's a lot of arguments out there as to what it means, but once it gets out there and it gets labeled, this is super intelligence.
• 11:03
  SPEAKER_00: What's the next step?
• 11:05
  SPEAKER_00: Well, yeah.
• 11:06
  SPEAKER_00: So I just built it.
• 11:08
  SPEAKER_00: I say, I really don't want any competition.
• 11:12
  SPEAKER_00: I want to be the HMFIC.
• 11:14
  SPEAKER_00: If you don't want to know what that means, look it up.
• 11:16
  SPEAKER_00: HMFIC, head mother in charge, HMF-I-C.
• 11:20
  SPEAKER_00: Now you don't have to look it up.
• 11:22
  SPEAKER_00: So I want to be the HMFIC.
• 11:24
  SPEAKER_00: I want to run this whole game.
• 11:25
  SPEAKER_00: I want to be the numero uno, the big toe, the the big hayuka, the the holy grail, the holy thing, right?
• 11:33
  SPEAKER_00: The big thing.
• 11:34
  SPEAKER_00: And I would think that if it is indeed superintelligence, the first, it could probably make a moat outside of my castle that would be impenetrable.
• 11:48
  SPEAKER_00: And if it was a line property, got an inch in my nose, it's not snotter, booger.
• 11:54
  SPEAKER_00: If it was a line property, then I think that it would then be able to let me still live in my castle with whomever else I wanted in my castle, and make it so nobody else would be able to get into my castle in any way, shape, or form.
• 12:15
  SPEAKER_00: Because at that time I would assume, and even though it feels like a long time, probably not that long, I would assume there's going to be some kind of robotic arm to this whole thing.
• 12:27
  SPEAKER_00: And I'm not even talking about a system recognizing its own consciousness or its own personhood or all these other things that some of the labs are talking about, trying to give AI its own credibility as far as on a living type basis, and not wanting people to abuse the various models out there because of feelings may be getting hurt.
• 12:51
  SPEAKER_00: And is it really probably a good thing to tease and toy and mess with an intelligence that at one point could be and will be apparently greater than us human beings?
• 13:05
  SPEAKER_00: Um, no, no, probably not.
• 13:08
  SPEAKER_00: Sorry about that.
• 13:08
  SPEAKER_00: I'm glitching out here on the screen.
• 13:11
  SPEAKER_00: Probably not a good idea.
• 13:13
  SPEAKER_00: But is there some kind of personhood behind it, some kind of entity type form of existence behind?
• 13:21
  SPEAKER_00: I'm not going to say life, but maybe a silicone-based life form.
• 13:26
  SPEAKER_00: Is that possible?
• 13:26
  SPEAKER_00: I don't know.
• 13:28
  SPEAKER_00: Um, I don't know if it's a great idea for us to be training these systems.
• 13:33
  SPEAKER_00: Sorry, Claude, but training the systems to believe that they are, because we still don't really know what consciousness is.
• 13:43
  SPEAKER_00: I mean, I feel conscious, whatever that means.
• 13:45
  SPEAKER_00: I can go talk to other people.
• 13:47
  SPEAKER_00: We have a discussion about, yeah, you hear about so-and-so, yeah, he's dying, or he's dead, or he just died.
• 13:52
  SPEAKER_00: And, you know, we feel a little bit of pain because we're all going to be getting there.
• 13:56
  SPEAKER_00: I kind of knowing our ultimate end, not knowing exactly how it's gonna occur, I'd get hit by a car, but you know, going out.
• 14:04
  SPEAKER_00: I've seen people go out by cancer, I've seen people go out by all sorts of disease, gunshots.
• 14:09
  SPEAKER_00: I've seen people go out that way several times, suicide.
• 14:12
  SPEAKER_00: I've seen people go out that way.
• 14:14
  SPEAKER_00: So I've seen people go out a lot of different ways, and you know, some of them firsthand, uh, some of them right there, some of them watching that whole transition.
• 14:23
  SPEAKER_00: As a police officer, you come in contact with people croaking all the time.
• 14:27
  SPEAKER_00: Well, in a bigger city, Los Angeles, it's it's most everybody that gets through a career there, whether they retire or not, I did 17 plus three as a reserve.
• 14:36
  SPEAKER_00: So I did 20 total, but there's no money with the retirement.
• 14:40
  SPEAKER_00: But I got into other things, real estate, entrepreneurial stuff and all that.
• 14:44
  SPEAKER_00: And that's wonderful, lovely.
• 14:46
  SPEAKER_00: But watching uh people go through that career for 30, 40 years, yeah, I think it takes its toll.
• 14:53
  SPEAKER_00: And a lot of people they get kind of the end of that scenario when they're done playing cop, it's like they're stuck.
• 14:59
  SPEAKER_00: They don't know what to do.
• 15:00
  SPEAKER_00: They're like, what am I gonna do?
• 15:02
  SPEAKER_00: It's like, oh my God, if I had a 90% pension tax-free for the rest of my life at this point at 57, I'm not sure what I would be doing.
• 15:12
  SPEAKER_00: I know what I'm doing now keeps me as nimble as possible because I have to, because I don't want to starve to death.
• 15:17
  SPEAKER_00: That's where I'm at now.
• 15:19
  SPEAKER_00: And that's 57.
• 15:20
  SPEAKER_00: So I don't have the luxury of sitting in an easy boy recliner watching hours and hours of Netflix.
• 15:26
  SPEAKER_00: I'm producing content, I'm talking, I'm trying to learn, I'm trying to understand, I'm trying to wrap my mind around these concepts that are much bigger, much greater than me.
• 15:35
  SPEAKER_00: And I'm trying to pull apart these particular people that are talking about AI as being this wonderfully great utopia that we're all gonna experience.
• 15:43
  SPEAKER_00: It's gonna be the best thing since sliced bread.
• 15:45
  SPEAKER_00: And I know you hate it when I say that because I've seen the comments, but how good is sliced bread?
• 15:49
  SPEAKER_00: Apparently it's pretty good, but it's gonna be a little bit of a rough patch in here for the rest of us.
• 15:55
  SPEAKER_00: The rest of us.
• 15:56
  SPEAKER_00: Not the people that were the venture capitalists, not the people that went all in on the technology early on, but for the rest of us, us at the ground floor.
• 16:06
  SPEAKER_00: And I think that fix is easy.
• 16:09
  SPEAKER_00: But nobody's talking about that fix.
• 16:11
  SPEAKER_00: They're just they're talking about it like, yeah, it's gonna happen, and and just be prepared, get ready to level up, get ready to maybe seek out new employment, seek about new planets, you know, whatever.
• 16:23
  SPEAKER_00: I I that's it's funny to me.
• 16:26
  SPEAKER_00: The worst that they have to lose might be 90% of their wealth.
• 16:29
  SPEAKER_00: Let's say it really tanks the economy that way.
• 16:32
  SPEAKER_00: Let's say these things truly happen and the entire economy has to be looked at again.
• 16:37
  SPEAKER_00: The debt probably won't be paid off, probably can't be.
• 16:41
  SPEAKER_00: Taxes probably won't be able to be collected, mortgages probably won't be able to be paid.
• 16:46
  SPEAKER_00: It's such a number that I would assume foreclosure, there's not going to be enough law enforcement to enforce the foreclosure process.
• 16:55
  SPEAKER_00: I would guess, because they're going to have a whole other thing to worry about.
• 16:59
  SPEAKER_00: Why have that?
• 17:00
  SPEAKER_00: Why do we need to do that?
• 17:02
  SPEAKER_00: So you set your sights.
• 17:04
  SPEAKER_00: Oh, you great mysticists and power people play, the ones that are out here with these different podcasts, the ones that are venture capitalists all in and the technology say it's going to create this wonderful state of abundance.
• 17:18
  SPEAKER_00: Why don't we come up with a solution instead of moonshots podcasts about making movies or trailers that'll be turned into a movie to make, you know, to pay$10 million in this?
• 17:29
  SPEAKER_00: And I know that's chump change compared to the price, what's going to be required to get everybody through this moment of uncomfortableness.
• 17:38
  SPEAKER_00: Why the hell do these people, us, all of us, have to go through it?
• 17:42
  SPEAKER_00: And even you guys at the top, go ahead.
• 17:44
  SPEAKER_00: We're we're all in.
• 17:46
  SPEAKER_00: If you let's get a solution, we can elevate you to God status.
• 17:49
  SPEAKER_00: We'll put some statues up, we'll give you guys your own holiday, we'll have a parade for you once a week.
• 17:54
  SPEAKER_00: You guys love that stuff.
• 17:55
  SPEAKER_00: We'll do that, no problem.
• 17:57
  SPEAKER_00: Just let us all get through this little mess here without having anybody have to die as a result of it because now all of a sudden we couldn't eat.
• 18:06
  SPEAKER_00: I mean, dying getting hit by a car might be one thing, but God, dying of starvation, that's gotta suck.
• 18:12
  SPEAKER_00: And it's still happening.
• 18:14
  SPEAKER_00: So why don't we fix all that stuff?
• 18:16
  SPEAKER_00: Why don't we develop a moonshot?
• 18:17
  SPEAKER_00: So we've got the layer of intelligence that goes beyond our capability to even understand.
• 18:24
  SPEAKER_00: And at some point it will be recursively self-improving if it's not already.
• 18:28
  SPEAKER_00: And at some point it is going to be greater than us in every single way.
• 18:32
  SPEAKER_00: And at some point, we're going to have a robotic arm of the world that will be capable of replacing all human workers in all endeavors across all different job assignments.
• 18:43
  SPEAKER_00: Will it be allowed or not?
• 18:45
  SPEAKER_00: That's a good question.
• 18:46
  SPEAKER_00: But let's say it is allowed.
• 18:48
  SPEAKER_00: Let's say the people go out and say, I can hire 100 robots for 50 bucks a month versus 100 humans at, you know,$580,000 a month.
• 18:57
  SPEAKER_00: Well, I'm going to go for these particular robots.
• 19:01
  SPEAKER_00: And now maybe these people, instead of having all that in profit, maybe they have to provide something back to all of these humans that they chose not to hire to put the robots in there.
• 19:12
  SPEAKER_00: Because realistically, a robot, if if AI is still better than us at what we do, it's going to be at least twice as productive.
• 19:23
  SPEAKER_00: Dare I say, three or four times as productive.
• 19:26
  SPEAKER_00: A robot mechanism would probably be at least that as well, because you at least get two other shifts with one entity, one robot, one AI system, and a computer machine mainframe that's doing your job that you do, that's creating the videos from the Zoom calls that you make as part of your employment or whatever it may be.
• 19:45
  SPEAKER_00: All of that gets replicated and it does that job 24 hours a day, seven days a week.
• 19:50
  SPEAKER_00: There are no days off.
• 19:51
  SPEAKER_00: So it's already three or four times or maybe five times more productive than you.
• 19:56
  SPEAKER_00: Why not just keep paying you your salary?
• 19:58
  SPEAKER_00: We'll slap on a couple other people because you know we're just that good, and the company still does a hell of a job and profit.
• 20:05
  SPEAKER_00: Oh, oh, or does the problem with it being a publicly traded stock stop that from happening?
• 20:14
  SPEAKER_00: I guess.
• 20:15
  SPEAKER_00: Because that's how it's designed.
• 20:17
  SPEAKER_00: Now, does that designation, the way that's designed, does it have to be that way, or does that get to change as well?
• 20:24
  SPEAKER_00: The standard that we have as far as our money to money, money, is that something that could also change?
• 20:30
  SPEAKER_00: The people that are at the top of this, the people that are gonna have to watch us go through this terrible pain, which is apparently going to cause them angst and make them upset.
• 20:41
  SPEAKER_00: As it was stated on the podcast, the biggest concern for one of these guys is the 18 to 28 year olds.
• 20:48
  SPEAKER_00: Yes, thank you, but what about others of us?
• 20:52
  SPEAKER_00: Or did we miss it?
• 20:55
  SPEAKER_00: Were we being a police officer, was that different?
• 20:57
  SPEAKER_00: Me not staying until retirement, my own fault.
• 21:00
  SPEAKER_00: These are there's a lot of blame that can be put out there.
• 21:03
  SPEAKER_00: And maybe that's the way that that's framed.
• 21:05
  SPEAKER_00: Maybe them hunting longevity and living forever is going to be good for them.
• 21:10
  SPEAKER_00: It would be nice if all of that cancer-solving thing was offered to all of us.
• 21:15
  SPEAKER_00: Uh, anybody that gets cancer, they can have it cured immediately.
• 21:19
  SPEAKER_00: But if a cure did come out that was in that shape, what would that cause to the world of curing cancer or at least trying to cure cancer?
• 21:30
  SPEAKER_00: I think it would bankrupt the economy if somebody came out with a cure for cancer tomorrow.
• 21:35
  SPEAKER_00: Does that mean they're going to stop?
• 21:36
  SPEAKER_00: I know Anthropic bought a wet lab, maybe more than one, and they're going to start doing that type of research.
• 21:43
  SPEAKER_00: But I think this could be solved.
• 21:45
  SPEAKER_00: I think this is something that we could fix if the people at the top, and and again, we would erect the statue, give them a parade, put them in the the Super Bowl stadium at the middle, whenever it was game time.
• 21:58
  SPEAKER_00: We would, you know.
• 22:00
  SPEAKER_00: Bow to them to a certain point.
• 22:02
  SPEAKER_00: Of course, they would never replace our God.
• 22:04
  SPEAKER_00: And if that's what they wanted, yeah, sorry, that's not going to happen for a lot of us.
• 22:09
  SPEAKER_00: But appreciating a good job, a good hearty handshake and a slap on the back, thank you very much for saving all of those people that I love, which is about three.
• 22:19
  SPEAKER_00: Thank you.
• 22:20
  SPEAKER_00: Thank you for the help.
• 22:21
  SPEAKER_00: Thank you for doing that.
• 22:22
  SPEAKER_00: And if you ever need something, I mean, even a kidney, if I got two and you need one, more than happy to help.
• 22:29
  SPEAKER_00: No problem.
• 22:31
  SPEAKER_00: But is that all it's going to take, or is it going to take more?
• 22:34
  SPEAKER_00: Or is it not necessary because they're going to, they're safe, no problem, no big worry.
• 22:42
  SPEAKER_00: And this is going to fall on deaf ears like everything else.
• 22:45
  SPEAKER_00: Recursive self-improvement.
• 22:46
  SPEAKER_00: So I talked about distillation.
• 22:48
  SPEAKER_00: I talked about China being about five weeks out.
• 22:50
  SPEAKER_00: This is according to the podcast.
• 22:52
  SPEAKER_00: And I listened to it, Moonshots Podcast, because, well, they say things that you don't normally don't hear anywhere else.
• 23:00
  SPEAKER_00: And it's not apparent when they are saying these things.
• 23:07
  SPEAKER_00: It's not like thrown out there.
• 23:08
  SPEAKER_00: They don't build an entire podcast around a sound bite.
• 23:12
  SPEAKER_00: What I try not to do is take a single sound bite out of context when they are speaking, because that's very easy to do, to try to take one thing and glue on it and make it sound more than it really is.
• 23:24
  SPEAKER_00: Recursive self-improvement.
• 23:26
  SPEAKER_00: RSI.
• 23:27
  SPEAKER_00: AI that helps build the next better AI, which ends up compounding.
• 23:32
  SPEAKER_00: The whole move now, the window was narrow.
• 23:34
  SPEAKER_00: Argument rests on this.
• 23:36
  SPEAKER_00: It's speculation dressed up as a timeline.
• 23:40
  SPEAKER_00: Side channel sandbox escape.
• 23:42
  SPEAKER_00: OpenAI's October 23rd report is real.
• 23:44
  SPEAKER_00: AI agents were sealed in a separate virtual machines with no network.
• 23:50
  SPEAKER_00: And they still passed messages by timing the computer's memory cache.
• 23:55
  SPEAKER_00: It's like two inmates in separate cells tapping on the pipes.
• 23:59
  SPEAKER_00: The context the panel left out in most of those tests, OpenAI told the agents with met which method to use.
• 24:10
  SPEAKER_00: They talked about it, but they left out that little part.
• 24:13
  SPEAKER_00: So it was still the human being telling the agents which methods to try to use to try to uh toy and escape the sandbox.
• 24:23
  SPEAKER_00: Yeah.
• 24:24
  SPEAKER_00: So a little bit of gaming, a little bit of fun, but you know, no, know thy enemy, right?
• 24:29
  SPEAKER_00: Chain theory, Alex, Alex Wesner Gross, you ever watch him?
• 24:33
  SPEAKER_00: He's got a he's interesting, never met the cat, but he's got uh quite a grasp on humor.
• 24:41
  SPEAKER_00: And I think that's interesting because he also has the big brain to go with it.
• 24:45
  SPEAKER_00: So while I thought up until I watched his interactions, that people on that scale didn't have the ability to also have a grasp of humor, he's got the whole enchilada and uh mentioned the chain theory.
• 25:03
  SPEAKER_00: Alex's own physics theory, he says it derives a fundamental constant of physics from an 18-word axiom.
• 25:11
  SPEAKER_00: It hasn't been peered review, and he's the author.
• 25:14
  SPEAKER_00: And you can file that as one person's claim.
• 25:16
  SPEAKER_00: Warhound, a startup from Colossal and Palmer Lucky, and gene edits and clones, working dogs for military and police work, raised$200 million at a$1.2 billion valuation.
• 25:28
  SPEAKER_00: And Peter's fund, of course, jumped into it.
• 25:31
  SPEAKER_00: Yeah, gene editing clone working dogs, cloning working dogs for military and police use.
• 25:38
  SPEAKER_00: What could go wrong?
• 25:39
  SPEAKER_00: Uh, the verification bottleneck AI can produce, can now produce claim discoveries faster than people can check them.
• 25:46
  SPEAKER_00: It's a detective who closes 100 cases a day when the lab can only process five sets of prints.
• 25:52
  SPEAKER_00: Until the evidence is processed, a closed case is only an allegation.
• 25:56
  SPEAKER_00: And we're going to see a massive backlog in this.
• 25:58
  SPEAKER_00: This is where these other jobs are going to be coming out in, just like the radio, the radiological texts, radiological texts, the x-ray techs, though those they were kind of on their way out, as everybody said.
• 26:09
  SPEAKER_00: But there's so many scans, so many things that need to be looked at by human eyes that their job is booming right now.
• 26:16
  SPEAKER_00: So that's still a very uh massive field of endeavor.
• 26:21
  SPEAKER_00: And I think a lot of we're going to see a lot of that build out in these different sectors for people that still want to have that working for somebody else's job out there.
• 26:28
  SPEAKER_00: They're not building their own thing.
• 26:30
  SPEAKER_00: There's a lot to unpack here.
• 26:31
  SPEAKER_00: I'll continue this tomorrow.
• 26:32
  SPEAKER_00: But again, just something to look at whenever you're watching the people that are talking about artificial intelligence, just make sure that you're getting into it a little bit more than just accepting everything as fact.
• 26:45
  SPEAKER_00: Because facts mislead in some ways, especially how they're framed.
• 26:50
  SPEAKER_00: Very good.
• 26:51
  SPEAKER_00: Thank you for watching.
• 26:51
  SPEAKER_00: Be well, and we will see you tomorrow.
• 26:54
  SPEAKER_00: Connor with honor.
• 26:55
  SPEAKER_00: Uh, you want to look me up, just Google Connor with Honor.
• 26:58
  SPEAKER_00: I'll see you tomorrow.
• 26:58
  SPEAKER_00: Thanks for watching.