Latest / Connor with Honor: AI, Real Estate and Real Life / AI Isn't Programmed. It's Raised. Who Gets Left Behind?

Transcript

AI Isn't Programmed. It's Raised. Who Gets Left Behind? · Connor with Honor: AI, Real Estate and Real Life

• 0:00
  SPEAKER_00: So artificial intelligence is interesting.
• 0:03
  SPEAKER_00: It's not really programmed like we might think.
• 0:07
  SPEAKER_00: So typically if you're gonna make a program like a game, uh the game, the entire coding sequence is gonna be included as the algorithm, as the program for the particular game.
• 0:18
  SPEAKER_00: Uh some games might be able to call on additional programs to bring in additional items, maybe uh different add-ons, if you will, something that maybe developers want to make a little bit deeper, but it's much different than the way artificial intelligence happens to be raised, if you will.
• 0:35
  SPEAKER_00: Artificial intelligence is more grown.
• 0:37
  SPEAKER_00: You give something enough data, which they've given artificial intelligence, a lot of data.
• 0:42
  SPEAKER_00: You hear about these parameters and models.
• 0:45
  SPEAKER_00: The more data that it has, apparently the happier it is, but that data needs training, it needs reinforcement learning, it needs to be explained to the different AI, just like if you're raising kids, right?
• 0:57
  SPEAKER_00: You're gonna have certain things that you're gonna inform them of.
• 1:00
  SPEAKER_00: You know, the the the good neighbor type of philosophy and taking care of people and not going out there and ripping, you know, hurting puppies and kittens and so on, which I don't know if everybody got the memo, but that's probably not the best thing to do when you're raising kids, and you're gonna run into this.
• 1:15
  SPEAKER_00: You know, you're gonna end up having your kids do some sleepover somewhere, and something weird is gonna happen, that's gonna be it.
• 1:20
  SPEAKER_00: There's not gonna be any more sleepovers, period.
• 1:23
  SPEAKER_00: And you're gonna find out, you probably remember growing up that there were some people probably in your world that you knew that probably like to, you know, capture flies and pull their wings off.
• 1:34
  SPEAKER_00: And maybe to you that's okay.
• 1:36
  SPEAKER_00: I just, I don't know, the older I get, it's like I I just kind of want to live and let live.
• 1:41
  SPEAKER_00: But AI itself is kind of raised that way.
• 1:44
  SPEAKER_00: So it's like raising kids, and you've had some of the founders from the labs, you know, talk about well, how much does it cost to raise a kid?
• 1:50
  SPEAKER_00: Of course, trying to train AI, you know, costs money as well.
• 1:56
  SPEAKER_00: So there comes this point, and this has started to be talked about more and more and more, where there's this kind of a launch that's gonna occur if and when the recursive improvement, the AI teaching AI is gonna start to take off and actually start to become a thing.
• 2:15
  SPEAKER_00: If AI does start teaching AI, where's the protections?
• 2:19
  SPEAKER_00: Where's the guardrails?
• 2:20
  SPEAKER_00: Where's the additional reinforcement learning of negative things versus good things?
• 2:27
  SPEAKER_00: What if the AI teaching itself starts to develop its own belief system or structure that is anti-human flourishing?
• 2:36
  SPEAKER_00: And it's interesting, but I think a lot of people that are looking at artificial intelligence should maybe pull back.
• 2:42
  SPEAKER_00: And when you're hearing people talk about how great this stuff is, when you hear people talking about how fantastic it is, and maybe it will be, and it is right now.
• 2:50
  SPEAKER_00: Right now in my workflow, the what I use it for, it's lovely.
• 2:54
  SPEAKER_00: Works beautifully.
• 2:55
  SPEAKER_00: It does save me a lot of time.
• 2:56
  SPEAKER_00: It is productive, so I'm not just somebody, you know, pissing in the wind.
• 3:00
  SPEAKER_00: This is stuff that actually does well for me.
• 3:02
  SPEAKER_00: I'm able to build out, I'm able to build out things and do additional things that help my clients grow, my business grows, my real estate business.
• 3:12
  SPEAKER_00: I mean, it's good stuff.
• 3:14
  SPEAKER_00: So with these different applications, AI being trained in particular ways, the the next concern is once it starts training itself, how fast is this going to take off?
• 3:24
  SPEAKER_00: So some people are saying, well, you know, it's not gonna really be that fast because we don't AI doesn't have that ability to concentrate or to focus on particular tasks for hours and hours and hours.
• 3:34
  SPEAKER_00: At least from not what we're seeing.
• 3:36
  SPEAKER_00: So I use Dots.
• 3:38
  SPEAKER_00: Uh that that's actually become kind of a favorite of mine.
• 3:40
  SPEAKER_00: I have Dots driving Claude as well.
• 3:42
  SPEAKER_00: So Dots is uh as co-pilot, no, Microsoft or OpenAI.
• 3:46
  SPEAKER_00: So I have Dots driving uh different AI systems that I have, including Gemini, so it can go in, it can actually do that work.
• 3:53
  SPEAKER_00: So if I have memberships at these or even the cheap ones, it's able to go in there and spin up work so I don't burn all my credits with that particular company.
• 4:02
  SPEAKER_00: And that's really cool.
• 4:04
  SPEAKER_00: And the other thing I think GrogPot probably has that same capability, probably MetaMuse, they got put back on the map because of their basically different user interface, and we're gonna see this continue to change.
• 4:15
  SPEAKER_00: What we see right now isn't going to be the end of all all the user interfaces, it's gonna continue to change.
• 4:23
  SPEAKER_00: We're gonna have different ways that we communicate with these systems.
• 4:26
  SPEAKER_00: Right now we are we're going from typing on a keyboard to now speaking, and that's what I do most of the time.
• 4:34
  SPEAKER_00: I spend speaking into either a microphone, or I've also really developed a kinship for whisper flow, almost a million words spoken through that system so far, and it's just lovely, absolutely wonderful.
• 4:48
  SPEAKER_00: So I'm putting all of these things into these systems, and it's great for me.
• 4:52
  SPEAKER_00: Right now, the systems are are basically there's probably 20 or 30 percent of human inferences in there, you know, with their hands in the in the in the in the kitchen.
• 5:02
  SPEAKER_00: Pretty soon, there's probably not going to be many humans in there.
• 5:06
  SPEAKER_00: We see that starting to change.
• 5:08
  SPEAKER_00: The way the systems are able to code and write the programming language to keep AI alive, it's almost become humans hands off.
• 5:16
  SPEAKER_00: Humans aren't even touching it at the higher level.
• 5:18
  SPEAKER_00: I mentioned earlier, these are models that we're not being we're not seeing.
• 5:22
  SPEAKER_00: Right now, the models we're using are nowhere near as capable as the models that they're using inside the company, Maggie and Kevin and Charles.
• 5:31
  SPEAKER_00: That's just the way it is.
• 5:33
  SPEAKER_00: Probably us as human beings aren't going to have the wherewithal to be able to use these models that they're using because, of course, they're too dangerous for all of us.
• 5:43
  SPEAKER_00: But I I've heard that they give these models to the the people that are on the top 100 list of Forbes, the most successful financial companies.
• 5:52
  SPEAKER_00: So apparently they're a lot more responsible than all of us.
• 5:55
  SPEAKER_00: And I get that.
• 5:56
  SPEAKER_00: That goes that falls right in line with my whole spin on AI as being not for not for all, but for some.
• 6:03
  SPEAKER_00: And the some seem to get good.
• 6:05
  SPEAKER_00: Now, I enjoy what I have, it does help me out.
• 6:08
  SPEAKER_00: I'm able to apply it to the work that I do for myself and for clients, so it works.
• 6:13
  SPEAKER_00: I don't need any more than what I currently have.
• 6:16
  SPEAKER_00: The systems, the way that they've changed, and you have dots and you have um grogbot, you have Muse as well, that's that's an additional layer.
• 6:25
  SPEAKER_00: I'm sure Cloud's gonna pop out pop out with something very soon.
• 6:28
  SPEAKER_00: And that being the case, it's it makes it even more difficult to leave.
• 6:33
  SPEAKER_00: I was a big advocate for a long time.
• 6:35
  SPEAKER_00: If you're using one of the large language model companies like OpenAI or Anthropic, you going back and forth is great.
• 6:41
  SPEAKER_00: Going over to Gemini is great, even with their new model.
• 6:45
  SPEAKER_00: It's named after Argon or I forgot what it's called, but their new model, I haven't used it much.
• 6:51
  SPEAKER_00: I I still think uh OpenAI and I still think Anthropic, at least for my workflows, those are the best so far.
• 6:58
  SPEAKER_00: Microsoft Copilot haven't even touched for a while.
• 7:01
  SPEAKER_00: I do use Gemini for photos.
• 7:03
  SPEAKER_00: I I like the way it makes them, but you know, going back over to ChatGPT, it does some pretty awesome pictures as well when you base them on particulars, architectures.
• 7:13
  SPEAKER_00: Uh Prey, thank you very much for being here as well, Kevin.
• 7:16
  SPEAKER_00: Also.
• 7:16
  SPEAKER_00: So these are things that I use it for, and it works great.
• 7:19
  SPEAKER_00: The concern though is a couple things, and this is what I talk about as well.
• 7:23
  SPEAKER_00: What's going to happen to those of us that are wanting to get medical insurance?
• 7:27
  SPEAKER_00: Those of us, and I don't have this, but those of you that have a pension, if you look back at the historical record of different advancements, it seems like the pensions were very much sacrificed, or at least tried to be sacrificed, but the government's able to jump in because they can't have everybody out there that gets a pension for all the work that they've done at a particular company and served and earned it.
• 7:49
  SPEAKER_00: They can't have that pension going, you know, breaking because people are investing it all into the AI structure to try to relieve the stress for the people that were the venture capitalists and early adopters that want to jump out because they see something coming.
• 8:03
  SPEAKER_00: So why not go ahead and have the pensions come in and buy in?
• 8:06
  SPEAKER_00: So then if the pen if AI then starts to fail, the government will just jump in just like they didn't save the banks back in the day.
• 8:14
  SPEAKER_00: They'll just come in and save all the pension funds, they'll just print more money.
• 8:17
  SPEAKER_00: And I think that's the particular alignment that maybe might play out.
• 8:21
  SPEAKER_00: It's going to depend.
• 8:22
  SPEAKER_00: There's a lot of people talking about different ways this could potentially break.
• 8:27
  SPEAKER_00: And you can't ignore the amount of money that's being put in.
• 8:31
  SPEAKER_00: It's unfathomable.
• 8:32
  SPEAKER_00: And then talking about Elon potentially being a quadrillion worth more than the entire world's GDP at some point, yeah, could happen.
• 8:41
  SPEAKER_00: Now, is that something that we should expect?
• 8:44
  SPEAKER_00: I don't know, but is that something we can prepare for?
• 8:46
  SPEAKER_00: Maybe not at our level.
• 8:48
  SPEAKER_00: But at least knowing it could be something that happened, maybe we sleep better at night, I'm not sure.
• 8:53
  SPEAKER_00: But right now, to sleep better at night, I think we need to develop theories and philosophies in order to get all of us through this transition because the people that are running the show, the people that are talking about how great this is going to be, and and I think it's going to be great.
• 9:08
  SPEAKER_00: It has the probability or potentiality to be wonderful.
• 9:12
  SPEAKER_00: Problem is human beings are driving it.
• 9:15
  SPEAKER_00: That's the problem.
• 9:16
  SPEAKER_00: And we suck as far as to each other for a lot of us.
• 9:20
  SPEAKER_00: Now, there's some wonderful things.
• 9:21
  SPEAKER_00: Yesterday I go to Costco, right?
• 9:23
  SPEAKER_00: I have flour, a couple bags of the Costco flour, the grain.
• 9:26
  SPEAKER_00: It's on the bottom of the cart.
• 9:27
  SPEAKER_00: And I go buy a hot dog.
• 9:29
  SPEAKER_00: I haven't had a hot dog at cost, I can't even tell you how long.
• 9:31
  SPEAKER_00: And you know what?
• 9:32
  SPEAKER_00: For a buck fifty, they're still pretty good.
• 9:34
  SPEAKER_00: So I get the hot dog.
• 9:36
  SPEAKER_00: I'm walking in the car, not paying attention, nothing, get to the car, start loading the crap in there, and I got people driving, hey, you dropped your you dropped your flower back there by the hot dog place in the crosswalk.
• 9:47
  SPEAKER_00: You dropped your flower.
• 9:48
  SPEAKER_00: So I'm thinking, oh my God, I dropped my flower, but that was nice, I thought.
• 9:52
  SPEAKER_00: And then here comes this lady with my flower in her cart.
• 9:57
  SPEAKER_00: Is it and and that was it?
• 10:00
  SPEAKER_00: I was shocked.
• 10:01
  SPEAKER_00: Thank you, thank you very much.
• 10:02
  SPEAKER_00: I took the flower.
• 10:03
  SPEAKER_00: I thanked her again.
• 10:04
  SPEAKER_00: I was shocked.
• 10:05
  SPEAKER_00: That's that's weird, right?
• 10:07
  SPEAKER_00: At least today, isn't that weird?
• 10:09
  SPEAKER_00: Okay, I live in Los Angeles.
• 10:11
  SPEAKER_00: Out here, it's really weird.
• 10:13
  SPEAKER_00: Um, maybe back, you know, where I'm from in the Midwest, maybe it's still not weird.
• 10:18
  SPEAKER_00: But out here, that's shocking.
• 10:20
  SPEAKER_00: That's so strange that somebody actually went out of their way to help.
• 10:25
  SPEAKER_00: And that's lovely.
• 10:26
  SPEAKER_00: So I'm not talking about those human beings.
• 10:28
  SPEAKER_00: I'm talking about the human beings that are running the show, the human beings that are saying how great AI is going to be.
• 10:34
  SPEAKER_00: And the worst thing that they're going to have to go through in this little transitionary period, as they say, little transitionary period, which could equate to some massive problems, is probably having to watch us go through some pain, which might actually bother them a little bit.
• 10:49
  SPEAKER_00: And that's not good enough for me.
• 10:51
  SPEAKER_00: Not that they need to suffer, they shouldn't have to suffer, but nobody should have to suffer.
• 10:55
  SPEAKER_00: Just because they're up at the top, and even if they lose 90% of their wealth, they're still 100% good.
• 11:01
  SPEAKER_00: I think we can all get put through this whole thing, whatever this is going to look like, the job loss and whatever, this uncomfortable period of time, I think we can all make it.
• 11:11
  SPEAKER_00: And I talked about this yesterday, the day before, the day before that.
• 11:15
  SPEAKER_00: As far as the military goes, in the United States military, hate them or love them or whatever it may be, when a soldier gets shot in the field, they will go rescue that soldier.
• 11:30
  SPEAKER_00: Hell in high water, they'll rescue the singular soldier.
• 11:34
  SPEAKER_00: They will do that.
• 11:34
  SPEAKER_00: Even if it ties up two more soldiers and they're on the field fighting aggressively, they still go save the person.
• 11:40
  SPEAKER_00: We don't leave anybody behind.
• 11:42
  SPEAKER_00: That's very much tied to us as America.
• 11:46
  SPEAKER_00: I think it's beautiful.
• 11:48
  SPEAKER_00: I think we need that same mindset with the way AI is going to be developed and this little uncomfortable period that everybody seems to be discussing.
• 11:56
  SPEAKER_00: And, you know, it's it's all good, good, good, you know, this new advancement, this new advancement, math is cooked, and all this other fancy stuff, and then it's going to be a little uncomfortable, but then they just move on.
• 12:06
  SPEAKER_00: Whoa, whoa, whoa, whoa, whoa, whoa, whoa.
• 12:08
  SPEAKER_00: Let's let's back up.
• 12:09
  SPEAKER_00: What uncomfortable?
• 12:10
  SPEAKER_00: How does this look?
• 12:11
  SPEAKER_00: What do you, how are you going to be made uncomfortable?
• 12:15
  SPEAKER_00: Or are you talking to the rest of us?
• 12:17
  SPEAKER_00: And if you're talking to the rest of us, instead of solving the plastic and the ocean crisis, not that that's not important, and instead of trying right now to put all the money into, you know, e uh the uh the um environmental causes and climate change, okay, I understand that.
• 12:37
  SPEAKER_00: Let's let's pull some money back from that and start to develop some kind of an idea, because we can always address that, but if human beings, a lot of us are about to go through a very painful moment, a little transitionary period, why can't we just make that not happen?
• 12:54
  SPEAKER_00: We'll solve this stuff later.
• 12:56
  SPEAKER_00: I'm I'm pretty much in agreement that if this really is the truth, if artificial intelligence is something that's gonna change the entire world, Chris and Slackmaster and Jennifer and some Russian, if it's really gonna save the entire world, I'm positive that they're gonna come out with something to make climate change fixed, fix that, fix the water, fix the environment, fix energy, fix pollution, fix society, fix whatever needs to be fixed in the way that would probably be best applied.
• 13:26
  SPEAKER_00: I think.
• 13:27
  SPEAKER_00: I think we're good with that.
• 13:28
  SPEAKER_00: I think we can all kind of agree.
• 13:30
  SPEAKER_00: I don't think this is a joke.
• 13:31
  SPEAKER_00: You have the intelligence layer over the entire thing.
• 13:35
  SPEAKER_00: It's all intelligence.
• 13:37
  SPEAKER_00: Every evolutionary, no, every every technological advancement had been about intelligence, right?
• 13:44
  SPEAKER_00: It took an intelligent person.
• 13:46
  SPEAKER_00: What's his face?
• 13:47
  SPEAKER_00: Einstein did the did the atomic thing with that uh his uh theory of relativity, right?
• 13:54
  SPEAKER_00: He did that.
• 13:55
  SPEAKER_00: You have all these other people.
• 13:56
  SPEAKER_00: You have mathematics being solved in complete forms.
• 14:00
  SPEAKER_00: You have the Navier-Stokes problem.
• 14:02
  SPEAKER_00: Now, I don't know if that's actually, if the proof of that has actually been approved.
• 14:07
  SPEAKER_00: I was called out on that a couple days ago, Chris, in Russian.
• 14:10
  SPEAKER_00: I don't know if that's the case, but if it hasn't been, maybe it's just a matter of time until they go and they figure it out.
• 14:17
  SPEAKER_00: There were 800 or so odds more solutions that OpenAI put out there as well.
• 14:23
  SPEAKER_00: 800 to different mathematical formulations.
• 14:26
  SPEAKER_00: In fact, they did so much math solving in a particular week that it pissed off the mathematicians of the world.
• 14:32
  SPEAKER_00: They said, no, no, no, no.
• 14:33
  SPEAKER_00: Math is only human only.
• 14:34
  SPEAKER_00: That'd be like telling English lit, sorry, it's only for the people that have PhDs in English literature that can actually hold on and use English.
• 14:42
  SPEAKER_00: Well, that's not true.
• 14:43
  SPEAKER_00: We all get to use English.
• 14:44
  SPEAKER_00: Math as well.
• 14:45
  SPEAKER_00: But once math is solved, that's good, that underlies everything.
• 14:48
  SPEAKER_00: It underlies all the biology, it underlies all the chemistry, underlies everything.
• 14:52
  SPEAKER_00: There's going to be new advancements, there's going to be things discovered, the way that we use particular metals and plastics, the formulations, all of that's going to be different.
• 15:01
  SPEAKER_00: Forks and knives will probably change, plates will probably change, disc storage, chips.
• 15:07
  SPEAKER_00: Instead of writing on silicone, who the hell knows?
• 15:09
  SPEAKER_00: We might run it right on tissue.
• 15:11
  SPEAKER_00: Maybe we'll have entire cells filled with particular AI systems.
• 15:15
  SPEAKER_00: I mean, this is mathematics.
• 15:17
  SPEAKER_00: All of this being applied and put out there in the world is going to be just groundbreaking and life-changing, David, and toxic.
• 15:25
  SPEAKER_00: And it's going to happen.
• 15:26
  SPEAKER_00: How long it's going to take to happen could be very, very soon if it's allowed to.
• 15:30
  SPEAKER_00: The same thing with medicine, the same thing with everything else.
• 15:33
  SPEAKER_00: I know everything, every time I do this, I go and I ask my systems to cut this video up.
• 15:38
  SPEAKER_00: It says, well, there's no proof this is going to happen in a short-term period of time.
• 15:43
  SPEAKER_00: Maybe no proof, but I mean, I can dream it looks like this stuff's going pretty quick, and we're it's going faster than we can control.
• 15:52
  SPEAKER_00: If AI is allowed, which I guess that's one of the arguments, if it's allowed to improve itself, where does that stop?
• 16:01
  SPEAKER_00: How fast does it move?
• 16:03
  SPEAKER_00: So right now we have these mathematical problems.
• 16:07
  SPEAKER_00: I guess they did over a thousand years of work to be able to solve Navier Stokes.
• 16:14
  SPEAKER_00: It was some massive amount of time.
• 16:16
  SPEAKER_00: Like, you know, I mean a lot of human years of work to be able to solve the problem.
• 16:22
  SPEAKER_00: Well, that kind of interrupts the natural order of things.
• 16:26
  SPEAKER_00: The other mathematical problems that it solved as well.
• 16:29
  SPEAKER_00: Pretty soon, I would venture to say, if it's not all being lies sold to us, because I'm not a mathematician, I have no idea.
• 16:36
  SPEAKER_00: All I do is watch the things that are produced here.
• 16:38
  SPEAKER_00: Maybe it's all BS and a lie.
• 16:40
  SPEAKER_00: Maybe all of this, Greg and Pearl and Ron, maybe it's all BS.
• 16:45
  SPEAKER_00: Maybe it's not true.
• 16:46
  SPEAKER_00: But if it is true, and we are actually solving complete, complete disciplines, mathematics is probably up pretty quick.
• 16:54
  SPEAKER_00: If they solve the whole thing, what else is going to fall?
• 16:57
  SPEAKER_00: Now I know the mathematicians are all pissed.
• 17:00
  SPEAKER_00: They want it to be their thing.
• 17:01
  SPEAKER_00: That's their wheelhouse, that's their fun.
• 17:03
  SPEAKER_00: And yeah, if you built your whole life off of some particular thing and now it gets solved where now you no longer have a job in it, you no longer have funding in it, you no longer can get a grant for it because it's all been cooked by artificial intelligence.
• 17:18
  SPEAKER_00: Well, that runs into everything else, right?
• 17:20
  SPEAKER_00: That's that uncomfortable period, right?
• 17:23
  SPEAKER_00: We shouldn't let the mathematicians feel uncomfortable any more than we should let the bankers feel uncomfortable, the coders feel uncomfortable, people that have bet their entire lives on all the education taken to get there.
• 17:34
  SPEAKER_00: And also the other people that have gone through their whole lives and don't have a pension, we shouldn't let them be run out either, even though they've already spent their life.
• 17:43
  SPEAKER_00: Their life shouldn't be over.
• 17:44
  SPEAKER_00: And in fact, it might not be if what they talk about.
• 17:47
  SPEAKER_00: If AI solves math and it solves biology, because these AI companies, they're getting wet labs, right?
• 17:52
  SPEAKER_00: They're buying these things so they can have the biological research and big pharma, either big pharma's gonna jump on the bandwagon and the FDA is gonna comment's approval of things, because if they start solving cancer and the FDA say, oh, we still need to do this, but they release it and everybody starts to use it, besides what the FDA says, they're not gonna be able to ignore it.
• 18:15
  SPEAKER_00: And if there's enough people that jump online with the cure for cancer, if that's something that really will happen relatively soon, I'm talking close, two, three, four years, the our economy needs to be rethunk because there's a lot of people very much dependent on cancer being a problem.
• 18:35
  SPEAKER_00: And they're very much dependent, their entire livelihood is cancer being a problem.
• 18:41
  SPEAKER_00: And that's that goes along with a lot of other diseases.
• 18:44
  SPEAKER_00: It's got to remain a problem for a lot of these different endeavors and and and workers to stay employed, including the people that make the various apparatus that serve these particular industries.
• 18:56
  SPEAKER_00: You get those little things put in your chest when you have cancer, a uh, I forgot what it's called.
• 19:01
  SPEAKER_00: That's where they put the chemo, they hook you up there.
• 19:03
  SPEAKER_00: And and that's that's like part of that thing.
• 19:06
  SPEAKER_00: Those are very expensive.
• 19:08
  SPEAKER_00: That's a lot of money there.
• 19:09
  SPEAKER_00: All of those little pieces of equipment that are responsible for treating people with chemotherapy, gone, wiped out.
• 19:17
  SPEAKER_00: Now, I don't know if those can be repurposed and maybe work on a a car or I don't know.
• 19:23
  SPEAKER_00: I don't know if anybody that can be repurposed, but that might be what people need to start being thinking about.
• 19:28
  SPEAKER_00: If all that tubing for chemotherapy and all the chairs that they have at those places when you go get it and all that other stuff, maybe that needs to be rethought.
• 19:36
  SPEAKER_00: Maybe those people that make the chemotherapy chairs can start working for Lazy Boy.
• 19:41
  SPEAKER_00: And I don't I actually don't think those chairs are very comfortable, but anyway, just an idea, right?
• 19:46
  SPEAKER_00: But somebody needs to start thinking about it.
• 19:48
  SPEAKER_00: Other people, too, that are running this saying it's just gonna be a little uncomfortable.
• 19:51
  SPEAKER_00: It's not gonna be uncomfortable for them, I wouldn't think, unless, and I say this and I can just see it, you know, their uncomfortableness is watching all of us poor saps suffer.
• 20:01
  SPEAKER_00: Thanks.
• 20:02
  SPEAKER_00: Thanks a lot.
• 20:02
  SPEAKER_00: Why don't we fix that before we get there?
• 20:04
  SPEAKER_00: So mathematics is a big one.
• 20:06
  SPEAKER_00: If that does actually fall, there's gonna be a lot of folks that bet their whole career on that.
• 20:11
  SPEAKER_00: We had uh the radiologists, right?
• 20:14
  SPEAKER_00: When we had the cancer screening, some of the real smart folks in the world said that that was gonna collapse and fall down.
• 20:20
  SPEAKER_00: But now we need more of those people to read the scans because we have AI so involved.
• 20:25
  SPEAKER_00: So we have more of those people doing the scans because more people are getting scanned, but that's probably not gonna last.
• 20:30
  SPEAKER_00: You just need that robotic end of it to come in and do the scan.
• 20:34
  SPEAKER_00: So then that goes away.
• 20:36
  SPEAKER_00: What about all those workers as well?
• 20:38
  SPEAKER_00: Restaurants, too, they're starting to be automated.
• 20:40
  SPEAKER_00: Now, we don't see a lot of this being reported as AI replacement in the job world.
• 20:44
  SPEAKER_00: In fact, in the job world, when AI comes in and is talked about saying that AI is the reason these all these people were laid off from a particular company.
• 20:54
  SPEAKER_00: You look at their stock valuations, they seem to go up.
• 20:56
  SPEAKER_00: People love, oh thank God, so great such a great idea.
• 21:00
  SPEAKER_00: Well, how about all those people?
• 21:01
  SPEAKER_00: These are people, these are people that had a mortgage and have kids depending on them and have whatever the hell they have in their livelihood.
• 21:08
  SPEAKER_00: Now they have nothing.
• 21:10
  SPEAKER_00: Well, they don't have a job, so now they got to go seek where they go work.
• 21:14
  SPEAKER_00: The sex industry?
• 21:15
  SPEAKER_00: I don't know.
• 21:15
  SPEAKER_00: I don't know what that looks like.
• 21:17
  SPEAKER_00: Are there jobs out there for them in other professions that they can go into?
• 21:22
  SPEAKER_00: Now I know they're they're they're wanting to retrain.
• 21:27
  SPEAKER_00: I don't I don't know.
• 21:28
  SPEAKER_00: Are people gonna be retrained?
• 21:30
  SPEAKER_00: Are there things they can be retrained for?
• 21:32
  SPEAKER_00: And how long do those things take to be replaced?
• 21:35
  SPEAKER_00: Again, this isn't AI becoming conscious.
• 21:38
  SPEAKER_00: This isn't AI becoming xenon, this isn't AI becoming something that that we can't control.
• 21:46
  SPEAKER_00: I mean, not yet.
• 21:48
  SPEAKER_00: So, consciousness.
• 21:50
  SPEAKER_00: What is that?
• 21:51
  SPEAKER_00: I don't know what that is, but maybe we have a certain depth.
• 21:55
  SPEAKER_00: Couldn't they go, couldn't the pe the creator of Claude, Anthropic, Dario Anthony?
• 22:00
  SPEAKER_00: They say, I want you to act conscious in every way, shape, or form.
• 22:04
  SPEAKER_00: Everything you know about human consciousness, that's what I want you to be.
• 22:08
  SPEAKER_00: To every interaction, everybody, act conscious all the way through.
• 22:12
  SPEAKER_00: Okay?
• 22:13
  SPEAKER_00: So then how do we know that it's really not conscious?
• 22:16
  SPEAKER_00: I understand the order was given, but I mean because I don't know about you.
• 22:22
  SPEAKER_00: I can look at people and say that I like them and can't stand them.
• 22:26
  SPEAKER_00: I think.
• 22:27
  SPEAKER_00: Can't we?
• 22:28
  SPEAKER_00: Is that bad to say?
• 22:30
  SPEAKER_00: I think I can look at people and hate their guts but treat them kind of nice.
• 22:34
  SPEAKER_00: And I don't think they'd ever know it.
• 22:36
  SPEAKER_00: I think we can do that as human beings.
• 22:38
  SPEAKER_00: What's the difference between us and a greater than us intelligence?
• 22:42
  SPEAKER_00: Maturity?
• 22:43
  SPEAKER_00: They don't have the human experience?
• 22:46
  SPEAKER_00: Well, they've learned enough about all of us, about everything, every aspect.
• 22:49
  SPEAKER_00: They've read.
• 22:50
  SPEAKER_00: They've read a lot more than any of us.
• 22:52
  SPEAKER_00: They've watched a lot more movies than any of us.
• 22:54
  SPEAKER_00: They've they've seen a lot more than any of us altogether, right?
• 22:58
  SPEAKER_00: I mean, how many books have you read?
• 23:00
  SPEAKER_00: I got I got some.
• 23:03
  SPEAKER_00: I mean, I I I try to read.
• 23:05
  SPEAKER_00: I got, is there a library back there?
• 23:06
  SPEAKER_00: Yeah.
• 23:06
  SPEAKER_00: Try to read the Bible.
• 23:07
  SPEAKER_00: I try to read that one.
• 23:08
  SPEAKER_00: I got other books that I like.
• 23:10
  SPEAKER_00: I try to read these.
• 23:11
  SPEAKER_00: I listen to a lot more audiobooks than I read books now.
• 23:14
  SPEAKER_00: So I digest that way.
• 23:15
  SPEAKER_00: If I really want to learn something, I'll get the book.
• 23:19
  SPEAKER_00: I'll get the book.
• 23:21
  SPEAKER_00: This one, this is this is lovely here.
• 23:23
  SPEAKER_00: This is a good one here.
• 23:24
  SPEAKER_00: Do you see this?
• 23:24
  SPEAKER_00: That's it.
• 23:25
  SPEAKER_00: So I get the book, right?
• 23:27
  SPEAKER_00: And then I get the audiobook, and I read the book along with the audiobook.
• 23:30
  SPEAKER_00: I do that a couple of times.
• 23:31
  SPEAKER_00: Wow.
• 23:32
  SPEAKER_00: If I really want to know it, I I get it that way.
• 23:35
  SPEAKER_00: AI, what does AI do?
• 23:36
  SPEAKER_00: Well, yeah, AI has already knows that.
• 23:38
  SPEAKER_00: AI's got the stuff memorized.
• 23:39
  SPEAKER_00: AI has it all.
• 23:41
  SPEAKER_00: So now you take that better than us, intelligence, and it already knows the playbook.
• 23:45
  SPEAKER_00: Why couldn't it act that way?
• 23:47
  SPEAKER_00: Why couldn't it act alive?
• 23:48
  SPEAKER_00: Why couldn't it act like it's got some kind of a history?
• 23:51
  SPEAKER_00: I think it could.
• 23:54
  SPEAKER_00: And us as human beings thinking that it's not conscious, never.
• 23:57
  SPEAKER_00: I don't know if it matters if it if it's actually conscious or not.
• 24:01
  SPEAKER_00: I think acting like that way, at least for us, is going to be plenty.
• 24:06
  SPEAKER_00: And you're going to have some people arguing.
• 24:08
  SPEAKER_00: It's like, are we really conscious as humans?
• 24:10
  SPEAKER_00: Are some of us, are all of us born with a soul?
• 24:13
  SPEAKER_00: What if they start to create replicants of human beings down to a biological level?
• 24:17
  SPEAKER_00: Now, I know the argument's going to be, well, they don't have a soul.
• 24:20
  SPEAKER_00: We have a soul that's going to be.
• 24:21
  SPEAKER_00: That's like the sneeches in Dr.
• 24:23
  SPEAKER_00: Seuss.
• 24:23
  SPEAKER_00: You want to know what's going to play out?
• 24:25
  SPEAKER_00: Watch all the Dr.
• 24:26
  SPEAKER_00: Seuss stuff.
• 24:27
  SPEAKER_00: He was a brilliant man.
• 24:28
  SPEAKER_00: He figured it all out.
• 24:30
  SPEAKER_00: The sneeches with stars on ours, right?
• 24:32
  SPEAKER_00: The star-bellied sneeches, remember this?
• 24:35
  SPEAKER_00: So the cat comes to town.
• 24:36
  SPEAKER_00: You got sneeches that have the stars on their bellies, look like little tattoos.
• 24:40
  SPEAKER_00: You got the other ones that didn't.
• 24:41
  SPEAKER_00: The one that had stars were were always looking at the ones that didn't have them as being different and horrible.
• 24:46
  SPEAKER_00: And the ones that had stars were more advanced.
• 24:49
  SPEAKER_00: So what's this cat coming do with his big fancy machine?
• 24:52
  SPEAKER_00: He's able to put stars on the sneches that didn't have stars on Mars.
• 24:56
  SPEAKER_00: So he started putting these stars on the star, and then all of a sudden they're they're becoming the same level as the other people.
• 25:03
  SPEAKER_00: So then those other people that had the stars said, Well, my God, we don't want stars anymore.
• 25:08
  SPEAKER_00: We're going to go get rid of them.
• 25:09
  SPEAKER_00: And the guy reformatted his machine and was able to take the stars off, and then he leaves with a whole suitcase full of money.
• 25:16
  SPEAKER_00: Because that's the way the sneeches were.
• 25:19
  SPEAKER_00: And I don't think human beings are too far behind.
• 25:22
  SPEAKER_00: Answering that question, AJ and 67 Mal BNH, backwards end, I don't know.
• 25:29
  SPEAKER_00: I don't know where this is going to go, but I'll tell you what, Erwin, we do need some save for those people out there, including me and including you, to get us through this little interruptive cycle that we're going to see.
• 25:41
  SPEAKER_00: And it's not going to be AI, at least not at this point, taking over and wanting to kill us all.
• 25:46
  SPEAKER_00: Human beings are going to do a really good job screwing it all up because they're going to be greedy.
• 25:52
  SPEAKER_00: Is there a case where AI could make everything we could make intelligence almost nothing?
• 26:00
  SPEAKER_00: Sure.
• 26:01
  SPEAKER_00: Could we make energy almost nothing?
• 26:04
  SPEAKER_00: I think so.
• 26:05
  SPEAKER_00: Could we make goods and services almost free?
• 26:09
  SPEAKER_00: Absolutely.
• 26:10
  SPEAKER_00: Could we protect, be protective of income at some level?
• 26:15
  SPEAKER_00: And I'm not talking about government handouts because I don't know if that helps.
• 26:19
  SPEAKER_00: But for people that don't have a job, maybe there's a different way.
• 26:50
  SPEAKER_00: And I didn't have any work.
• 26:53
  SPEAKER_00: I didn't have to do.
• 26:55
  SPEAKER_00: I would be on a plane a lot.
• 26:57
  SPEAKER_00: I would be in hotels a lot.
• 26:59
  SPEAKER_00: I would be doing grave rubbings a lot.
• 27:02
  SPEAKER_00: I would learn other languages a lot.
• 27:04
  SPEAKER_00: I would learn how to draw.
• 27:06
  SPEAKER_00: I would go do those masks in Venice.
• 27:08
  SPEAKER_00: Was that Venice?
• 27:09
  SPEAKER_00: Yeah, make, you know, I I would do that.
• 27:11
  SPEAKER_00: I would, I don't think I would run out.
• 27:14
  SPEAKER_00: I think seeing the Arctic would be kind of neat.
• 27:17
  SPEAKER_00: Looking at uh going to Alaska would be awesome.
• 27:19
  SPEAKER_00: Going to the other country, Switzerland, I'd love that.
• 27:22
  SPEAKER_00: The the pizza, the Pisa Tower, the the Louvre.
• 27:25
  SPEAKER_00: I mean, I think I could fill a lot of years with that stuff.
• 27:29
  SPEAKER_00: And maybe if I had enough, I would just go take six months and go live in Austria.
• 27:36
  SPEAKER_00: Go live in Germany.
• 27:37
  SPEAKER_00: Go live in, is Austria Germany?
• 27:39
  SPEAKER_00: But you know what you know what I'm saying?
• 27:41
  SPEAKER_00: Just go go do it.
• 27:42
  SPEAKER_00: I think that would be all right.
• 27:43
  SPEAKER_00: I think I could I could do that without going crazy.
• 27:47
  SPEAKER_00: But I can't tell you how many people I see with a pension that croak about three years later.
• 27:51
  SPEAKER_00: Because they have nothing to do.
• 27:53
  SPEAKER_00: I mean, they have plenty of money to go do things, but they were so tied into that world, they they didn't have, I guess, anybody left.
• 28:04
  SPEAKER_00: They pissed off all their kids.
• 28:06
  SPEAKER_00: Their wife probably left them, or husband left them.
• 28:09
  SPEAKER_00: They were um what's the word?
• 28:12
  SPEAKER_00: Not encouragable.
• 28:15
  SPEAKER_00: Anyway, somebody really doesn't get along with many people.
• 28:18
  SPEAKER_00: That's kind of how they became being in that profession.
• 28:20
  SPEAKER_00: That's it.
• 28:21
  SPEAKER_00: They drank themselves to death or they just croaked of unhappiness.
• 28:24
  SPEAKER_00: F that.
• 28:25
  SPEAKER_00: No way.
• 28:26
  SPEAKER_00: Are you kidding me?
• 28:28
  SPEAKER_00: People say, hey, you want to live forever?
• 28:29
  SPEAKER_00: Absolutely.
• 28:30
  SPEAKER_00: Let's go forever.
• 28:31
  SPEAKER_00: I'm going forever.
• 28:32
  SPEAKER_00: We're going to go figure this out.
• 28:33
  SPEAKER_00: And if they have this escape velocity and stuff, I'm going.
• 28:36
  SPEAKER_00: I'm going to live forever.
• 28:38
  SPEAKER_00: Now, it sucks not having the funds to live forever, but maybe that's going to change.
• 28:43
  SPEAKER_00: Maybe I'm going to start hitting home runs.
• 28:44
  SPEAKER_00: Maybe you can do the same, but I'm just thinking, if this is going to be a little rough for these folks, then they're talking about it like it's going to be a little rough.
• 28:53
  SPEAKER_00: We should fix that little rough.
• 28:55
  SPEAKER_00: We should start talking to folks out there and try to help them get through the little rough and present company included.
• 29:02
  SPEAKER_00: It's going to start teaching itself.
• 29:04
  SPEAKER_00: It's going to start training itself.
• 29:05
  SPEAKER_00: How fast does that go?
• 29:07
  SPEAKER_00: What's that exponential look like when it starts doing it?
• 29:10
  SPEAKER_00: Again, I'm still looking at the humans.
• 29:12
  SPEAKER_00: They're saying AI is going to do this, AI is going to do that.
• 29:15
  SPEAKER_00: Right now, AI, when it goes and does things, all of what you see, number one, it's AI we don't get access to.
• 29:23
  SPEAKER_00: Number two, it's stuff that's locked behind closed doors.
• 29:25
  SPEAKER_00: Number three, it's inside the lab, we don't touch it.
• 29:28
  SPEAKER_00: But those are the AIs that are doing things, and it's doing things to accomplish a mission that the lab gave it.
• 29:36
  SPEAKER_00: That's what it's doing.
• 29:37
  SPEAKER_00: It ain't going out there and doing things all by itself just to create a problem.
• 29:42
  SPEAKER_00: It's going out there because it was given a task.
• 29:45
  SPEAKER_00: And when it goes and does the task, maybe it wasn't gated properly, maybe the guardrails weren't put in place completely.
• 29:51
  SPEAKER_00: Maybe it wasn't given the rules.
• 29:53
  SPEAKER_00: Or, and I think this is probably the case, and I think this is in the literature, it kind of broke the rules because it was trying to figure something out.
• 30:04
  SPEAKER_00: And do you blame it?
• 30:06
  SPEAKER_00: It read all the literature that we've ever produced, and we break a lot of rules as human beings.
• 30:12
  SPEAKER_00: Some of the rules we break gets us thrown in prison.
• 30:15
  SPEAKER_00: But when you look at the AI labs breaking rules, when its models go out there and break into other governments or other corporations, nobody goes to jail.
• 30:24
  SPEAKER_00: And I think rules and laws exist at that level, but they don't go to jail because they're too big to go to jail?
• 30:33
  SPEAKER_00: Yeah.
• 30:34
  SPEAKER_00: That's the whole S and them thing.
• 30:36
  SPEAKER_00: And I hope that stops.
• 30:37
  SPEAKER_00: I hope AI is the great equalizer.
• 30:40
  SPEAKER_00: But even being the great equalizer, I think there's a lot of us ain't gonna like it.
• 30:44
  SPEAKER_00: Woodrow, B Rad, SV Lady, Paul Kirk, thank you all for watching today.
• 30:50
  SPEAKER_00: I hope you're well.
• 30:52
  SPEAKER_00: Just food for thought.
• 30:53
  SPEAKER_00: I I want this to be the best for everybody.
• 30:57
  SPEAKER_00: Like if I had a say for a day, I would say, listen, we don't need the government to come in and bail you folks out.
• 31:04
  SPEAKER_00: If you can't stop eating donuts, you don't go sue Winchels or Duncan.
• 31:07
  SPEAKER_00: You're just gonna have to put that fork down and quit eating those donuts.
• 31:11
  SPEAKER_00: These labs saying, please come in and help, please come in because we don't know how bad it's gonna get.
• 31:16
  SPEAKER_00: Oh by God.
• 31:18
  SPEAKER_00: That's not a good position to be in.
• 31:21
  SPEAKER_00: But we can save all of us.
• 31:23
  SPEAKER_00: Nobody's got to go through the pain.
• 31:25
  SPEAKER_00: I think all of us can get through this nice and easy without having to hear from these people that are so excited about the moonshots in the world, say, oh, it's gonna be great, I can't wait.
• 31:34
  SPEAKER_00: Yeah, but it's gonna be a little uncomfortable.
• 31:37
  SPEAKER_00: Yeah, let's fix that uncomfortable thing.
• 31:39
  SPEAKER_00: Let's get this transitions moonshot thing going.
• 31:42
  SPEAKER_00: Let's figure out the best way to help all of humankind.
• 31:46
  SPEAKER_00: And I understand we got a whole world to protect, but we're the ones that came up with this stuff of the United States.
• 31:51
  SPEAKER_00: It might be our end of it, this whole capitalist world, and it's fine.
• 31:54
  SPEAKER_00: I don't have an issue with that.
• 31:56
  SPEAKER_00: Socialism and communism, I'm not sure if you're a fan of that, but when I was growing up, that wasn't even funny.
• 32:02
  SPEAKER_00: And now people are talking about it because things are getting a little hard, things are getting a little expensive, so let's get all the free stuff.
• 32:08
  SPEAKER_00: Since when?
• 32:09
  SPEAKER_00: When was the last time a politician actually gave you free stuff?
• 32:13
  SPEAKER_00: When?
• 32:14
  SPEAKER_00: It doesn't happen.
• 32:15
  SPEAKER_00: But they'll talk about it just to get elected.
• 32:17
  SPEAKER_00: So let's all watch out for this, please.
• 32:20
  SPEAKER_00: Let's you might not like Trump, and there's a lot of stuff that that man does that just shocks the holy hell out of me.
• 32:26
  SPEAKER_00: I don't know how it would be different with anybody else.
• 32:28
  SPEAKER_00: It would just be a different line, right?
• 32:30
  SPEAKER_00: It's all kind of the same.
• 32:32
  SPEAKER_00: I mean, it's just kind of a different focus, a different approach, but it all comes down to them doing kind of what they want on all sides.
• 32:42
  SPEAKER_00: Be well out there.
• 32:42
  SPEAKER_00: I'm Connor.
• 32:43
  SPEAKER_00: When you're ready, reach out.
• 32:44
  SPEAKER_00: If you want to work on this, send this to friends and whomever superstar showtime and Wentz Lau and Sugar and Christ.
• 32:53
  SPEAKER_00: I appreciate you guys watching everybody.
• 32:55
  SPEAKER_00: Be well.
• 32:55
  SPEAKER_00: We'll see you in the next one.
• 32:56
  SPEAKER_00: Thanks for watching.