5 Scary Ways Ai is Changing Reality | Capability Amplifier EP#123

The next iPhone is happening. And if you think what happened with the smartwatch was big, this is.

Infinity times bigger.

The key is actually that the morale of the Ukrainian troops is 10 times higher than the Russian troops.

They've already figured out and built malaria medicines, antibiotic resistance, plastic waste.

And then it'll speed up the discovery and creation of new drugs.

Hi, everybody, it's Dan Sullivan here. And this is the next episode of capability amplifier with the head amplifier himself, the superpower amplifier, Mike Koenigs. And Mike, lots of interesting stuff happening every day. Real unusual things of humans finding all sorts of ways to amplify their capabilities. So go for it.

All right, good. Well, here's the big moment. It's 2007. Steve Jobs walks on stage and.

Talks about the iPhone, except he says, it's a phone. It's a personal communication device and a music player. It's a phone, a personal communications device, and a music player. And that was the moment that propelled Apple into becoming the most valuable company in the world, which I think it's going to have for a long time, because now they're a bank, they have.

Their own stores, they're becoming the medical system. They're.

It's incredible. Everything they do, they do for a reason. Not without stumbling, but they're brilliant. But here's the most important thing. If you do a little search on Google and search for all of the devices the iPhone replaced, you'll find one, I'll say, 101 different devices the iPhone replaced. And for example, the wristwatch, the pedometer, even though they came out with their own jewelry line, the Apple watch, But the vcr, DVD player, television.

Games, like card games, board games, embedding those, the radio, the turntable, the cassette recorder, travel agent.

Travel agents, yeah.

Everything that sits on your desk, practically. But I am here to say I think the next iPhone is happening. And if you think what happened with the smartwatch was big, this is.

Infinity times bigger. And as a result, it will be a little terrifying at first, especially if you spend some time going down a couple of rabbit holes that I'm going to share, and it's what AI is doing. So I'm going to just rattle off a couple things, and then the destination we'll get to are the industries, the biggest industries by revenue.

Yeah.

And how it's going to affect those.

Just a little backdrop on the Steve Jobs and the iPhone. He was totally opposed to the iPhone because he loved the ipod.

Yeah.

The convincing argument was his designer said, you have a choice. Somebody else is going to kill the ipod or you're going to kill the ipod because it's gone. And you'll kill it, but you'll have a replacement. But if someone else kills it, you won't have a replacement. And that was the, that was the convincing argument. And then he made the compelling offer because he was a, you know, he was a smart dude.

That is, it comes down to great companies eat their babies, you know, they eat their young. And that takes a lot of courage. So that is a great, great setup. So here are a couple AI technologies and I think the moment that it changed was something called GPT3. Right now there are tools, for example, that are GPT3 that will write copy for you. So you give it some inputs and what it does is it goes out to the Internet and it grabs gobs and gobs and stuff of stuff. And you say, I want you to write a sales letter to sell an XYZ product in the style of insert famous copywriter here. And it models and emulates that and at a minimum it'll seed it and then you can correct it and then you push the refresh and it'll take your changes and modify that and make it better.

Mike Everybody just went for their pens and pencils or they're typing GPT3.

It's the latest generation of an AI smart engine that learns, builds big data collections and you can tell it, well, I'm going to take it to the next level. Okay, so a variant of that now is in AI powered art.

Tell me the writing one because I'm interested in that.

So there are a whole bunch. One's called Copysmith AI.

Copy one word or two words?

Copy. Smith One word.

AI.

Yep. Another one is Jasper.

Jasper, Yep.

And some of these are. And that's probably kind of the big one. There's another one called Writer.

I always keep a smart human between me and technology, so I'm oh, this is writers. Writer.

Writer. Another one is Copy AI.

And then. And now they're specializing. So some of them are optimized for poetry. Yeah, some of them will do.

You've given me enough to get into the.

Start with Jasper. Start with Jasper. That one has the most stuff. Jasper AI.

Jasper AI. That's great.

Okay, now we're going to go down another one. It was only six weeks ago or so an art competition, a prestigious one was won by someone who submitted some art. And when he won the award they found out that he used a platform called midsommar or Dall E, which are GPT powered. And it's AI powered art engines. And what you do is you type in a couple of commands and it will draw something. So I could say draw a picture of Ant man in space wearing a.

Ballerina costume in the style of Monet, Andy Warhol or.

Totally. Yes. And in about 15, 20 seconds, boom, it's there. Now that's, that's interesting. And it scared the hell out AI M I D S O M M E R. I'm gonna give you some. Mm er, mid summer as in midsummer's name. No way.

I'm not. Not U.

That's correct. An O instead of a U. Yes.

Okay.

Another one is called Dolly. D A L L dash E. Yeah.

Unlike the artist. Dolly. Yep. And then we've got do E. It's.

D A L L dash E.

Dash. Okay.

Yeah, it's kind of like wall E the little Disney. Then there's another one.

Anyway, continue. I just wanted to do a little favor to the watchers and listeners here.

Yeah. And what I'll do is I'll collect a bunch of links and we'll put them in the show notes. That way there's a bigger reason to subscribe and like and follow us. But then here's what happened with art. This thing has evolved so quickly and someone. Now originally you needed a lot of GPUs, a lot of processing power and it's all offline in these big neural net things. But some smarty pants created a fork of this code and managed to squeeze all the processing to just feed into a graphics card, which of course the same graphics card that have been generating your bitcoin or your crypto for you. Now you can use it to create art and it's super fast. But it doesn't have the filters on it because at first they turned on the not safe for work NSFW filter, which basically eliminated you can't make porn, but now you can create naughty images. And it's creating fantasy sex art. But another person created another fork and it's creating videos. So you can give it some commands and say, show me a 25 year old kid. No, I'm riding a skateboard. Oh yeah.

Yes.

Yeah, I don't, you know, you know, 40s guy, you know, I was born.

Yeah, you could. Anything you want.

I was born with certain rules, you know, of what can be talked about in public here. So.

Yeah, well, here's what's happening is suddenly it's going to destroy the porn market in terms of.

Because you will just create a new porn. It just creates a new porn you.

Know, custom free or weird kinks or whatever.

Yeah, but I mean, they'll still need, you know, I mean, so I've got a rule that the world is heading towards a single model and it's the fastest growing industry in the world. Is it, you know what you're talking about? Is it the technology?

But the biggest problem with technology, for the most part, it doesn't coach itself. It doesn't coach itself. Okay.

And that's exactly right. You know where you're going.

And the answer is yes, what you want. There's two multipliers. There's, there's it technology related to it, and that's got AI now as part of the engine. And then you have teamwork. For all of human history, the number one multiplier has been human teamwork. And human teams are really great and they're multipliers, but they don't naturally think of multiplying themselves with technology. And in the middle, you need coaching. You need coaching to do this. So there are people out there who are very excited. They'll download the program and tomorrow they'll be on to something else because they didn't have any coaching of how they integrate this with how they're making money, what they really want to do, and they'll play with it and they'll, you know, they'll bother their friends with this and you know, and they'll go to the cannabis store and, you know.

Yep. So. So I'm going to just go down that rabbit.

So I'm totally. And I see it. And you mentioned the one that we both know about, the AI program that can look at all the pharmaceutical, you know, all the drugs and especially the ones that are beyond, beyond IP protection, you know, they're in the public domain. And you say, I want this drug to do such and such and such. And it's either the drug itself or it's a combination of five of them you can now put together to create that. And I saw the doctor and you know who the doctor is from? I think he's from Philly, Philadelphia.

Yeah, that's exactly right. Yep, same guy.

And I said, go for it. But doctor training doesn't teach you how to capitalize on this. Entrepreneur training teaches you how to capitalize this.

Yes. And so let's go down that rabbit hole because I think this is the most important thing. I'm going to just again, go through a couple. We're going to build to the destination, but the going there is just as valuable as getting there or being there. So for Example, there's a tool. So a big fear right now is deepfakes. I already talked about the porn. But you can create total artificial actors. We're very close to being at being indiscernible because when people create a deep fake or an artificial or fake person, or take like a political figure and make them say something they didn't, there's a tool you can get right now. It's super affordable. It's called Descript D E S C R I P T. It is an editor that you upload a bunch of audio and you train it and then they'll do a deep fake voice. So let's say we're doing our podcast and we. I accidentally say orange and I meant to say purple. Well, I can just click on the word because you we in feed the video, it'll recognize the voice, create a trained version of it. I can type in the word purple over the word orange because it also transcribes and it'll use my voice to say purple or yours. But now it's so good that you can record using different cadences. So let's say we did the soft slow narrative voice or the high speed sales voice for a video sales letter. It can emulate that and now you can just feed it the script. So we could have virtual Dan speaking. I mean, you literally could create a virtual podcast and you don't even need to be there.

But the video version of that is right around the corner. And again, the. On one hand you're going to see people's likenesses being knocked off and used for nefarious purposes. But also actors are going to be licensing their themselves. Now here's the way it works. What all these have in common is it's a coaching model. So when you're creating creative, you'd give it, hey, I want a sales letter to sell this device in the voice of Pick a famous copywriter for a technical audience and it'll grab a bunch of information and spit something out. And then you tweak it. You look at it, tweak it, and then click refresh and it'll write the next version. The same thing happens with artwork. So a buddy of mine started creating a whole bunch of fantasy wizardly ethereal artwork and he just got really good at giving the AI commands.

And then the same is true with.

Another area that's going to be replaced fairly quickly I believe is human companionship. So both of my parents are in memory care. My mom can't remember a damn thing. But if you ever did you see the movie her by any chance?

No, no, I know of it, but I didn't.

It's Joaquin Phoenix. And he basically, it's sort of like he goes in, I think his girlfriend or his wife died or something like that. He's lonely. I believe that's the premise. But he gets, it's sort of like a single earpiece delivered to him. And the AI produces his girlfriend who becomes his best friend and they fall in love. And I mean, it's so compelling and interesting because, you know, if you had a learning thing and she helped you and reminded you of things, you know, you literally had your best friend in your ear all the time.

Now another thing that's very close to happening is you know how Google.

And Facebook and all the big tech, you are the product, right? They give you free stuff.

Yeah, if it's free, you're the product. Yes, that's the rule.

Well, check this out. Tesla's so damn smart. We've been buying Teslas. We drive them around, they're great cars and it's got a bunch of cameras in it. And guess what? It has been gathering billions of trips and it's figured out how people move, where they go, where everything is. They've got a complete map of everywhere there's a Tesla and traffic patterns. So that's fed into a gigantic AI. So Tesla's Optimus robot is going to be released very, very soon. And everyone's like, well, robots, it's going to take forever because they have to learn. And so like, nah, they're just going to dump all that data, hook it up, it's going to be connected with a high speed 5G modem and these things are going to be smart out of the chute. Okay? Because the problem with robots is they're dumb and they have to learn, and that's the hard stuff. So we're able to mix, match data from all different places and stick them into devices that are going to learn and think about what that will do for labor or companion labor. I'm going to give you another one just again to kind of stack on top of this military. So Elon was interviewed not that long ago, but America has been known for its big military. Our aircraft carriers, our navy, our Air Force, blah, blah, blah, blah, blah. Irrelevant. Moving forward, in a lot of ways, yes, it's a show of force, but you could just grab someone's face, create a swarm of 100 drones loaded with the small explosive, and it could get through anything and just fly and stick on you and blow Up. Okay. So selective. Very, very low cost. And of course, the Ukrainian war has been a testing ground for our technology. The Iranians, Israelis trying this out, collecting a lot of data. It's just been a beta.

It's the largest live action weapons trade show in the history of the world.

Exactly. So transportation costs.

But I will tell you this, that the key is actually that the morale of the Ukrainian troops is 10 times higher than the Russian troops.

And most of the weapons they are using are weapons that they got from the Russians 30 years ago, the tanks, the artillery. So it plays a part. It plays a part, but it's very, very targeted. You know, there's been a huge shift in the last two weeks, and it's because the US gave the Ukrainians 12 trucks that each have six rockets on it. And the US has had this for 15, 20 years. But what they do. A lot of people don't know this, but flying around at about 50,000ft, 200 miles outside of the battle zone and is an American reconnaissance plane. And one of the things they did early in the war is that they blocked. They blocked Russia's encryption channel to its high commanders. Yep. So they couldn't use encrypted phones, and they all had to use their personal cell phones. And the US has the numbers of every.

Captain, major, colonel, general in Ukraine. And it's got an AI program that just keeps track of the phone numbers. And anytime 20 of them are close together, one of the rockets launches off the trucks.

Yeah.

Okay. And. And they're heavy drinkers. You know, Russians are heavy drinkers, heavier now. And they get together in bars or tents or underground bunkers, but the rocket hits them right in. You know, they were expecting the next order of drinks. And it was a rocket, you know, pow.

Right in the kisser.

Yeah, yeah. So that's very targeted. And the Ukrainians are only using it to decapitate the.

Officers because Russian soldiers are trained to take orders, not to change orders.

Yeah.

And so you take out the senior leadership and, you know.

Yep. Cut off their heads, right.

No, they just abandoned. They. They abandoned. You know, a lot of them are just crossing over and going to farmers and saying, you know, I know, you know, you need help. Because in agricultural. It's a big agricultural. So they're just crossing over the lines and saying, you know, I'll come and work for you, you know, and, you know, so. So it's. Yeah, but it was Monty Python and.

The Holy Grail run away.

But it was the same thing in the desert. The Americans had smart bombs for the first time. So they could put the bombs and it wasn't, it's only 10% of the bombs. And the other thing is the Abrams tank doesn't have to see you to kill you, you know. Yeah. I mean they can hit you from nine miles off and because they're using satellite, satellite technology. So I think the, you know, I mean, you know, the technological craters make big sweeping statements. No, it's used in a very targeted way and it changes how wars are normally, normally won. So I don't believe any of this. I mean, it's very clear that Teslas and the other EVs are bought by people who have two other cars and they use the EV for status purposes and running around town, but for the long trips they use SUV, you know, the, the gas powered SUV. And it's all the ownership of EVs can be found in 20% of postal codes in the United States. The other 80% don't have a driveway, they don't have a garage. They, you know, but there's a wealthy group, you know, I mean, all our coach clients probably live in areas where EVs could be. But the trouble is it's a thousand pounds of stuff that powers it. And you have to dig up £500,000 of stuff in very dangerous places in the world using child labor to get the stuff to create the battery. Yeah.

So every driver is a baby killer, is that what you're saying, Dan?

No, no, I'm just saying.

That.

You can make a convincing argument, but so far EVs are not a compelling offer. And the biggest problem who's liable? If you kill somebody in your EV and the EV is driving, but you're responsible, who's liable? And the insurance companies don't want to be liable, the manufacturers don't want to be liable, and the individual doesn't want to be liable. Okay. The only ones who want liability are the law firms.

Well, there's other issues that, you know, there was a lot of history to the environment in which you're introducing a new technology.

And here's what my response when I listen to that, I'm like, well, how could I solve that problem? And I make it go away or profit from it? Right. And where I go to. So I'm going to use an example here, which is I'll go down the 10 biggest industries by revenue in the United States and. But I'm going to tackle that last one first as a little example.

Because what I would do is I would feed a whole bunch of data into a machine learning AI thing and try to find a way to create a transaction based or a use based model. So for example, they're talking about turning car insurance into an app. And, and then when you go somewhere, you basically say, turn on my car insurance. And it looks at all of your risks and what you're driving and when you're driving and it effectively issues you a policy. It's like when you get a Mexican driving policy.

So it's going to be the uber izing of insurance and someone will break the insurance model, which is a massive industry, but I'm going to use medical as one. So there's a technology firm called DeepMind that.

Grabbed all sorts of data and one of the hardest things, and I don't really understand all the whys behind this, but protein folding. So proteins are the building block of life. And.

DeepMind crunched and figured out how basically.

All proteins are structured, which was an impossible calculation for humans to make in a period of 18 months. Mathematicians, et cetera, et cetera. And the bottom line is with that, they've already figured out and built malaria medicines, antibiotic resistance, plastic waste, and then it'll speed up the discovery and creation of new drugs. And in a recent interview that Ray Kurzweil said is, he says just with what they learned when they created the vaccines, now they can create and test a vaccine in two days, which scares the hell, because a lot of people. How is it possible that they created a vaccine in under a year? Well, they actually did it in a few weeks. That was the truth. And the prediction modeling that this does is phenomenal. So. So the number one biggest industry by revenue in the United States is drug, cosmetic and toiletry wholesaling, which already Amazon has become the biggest juggernaut for shipping and logistics. And that's what AI is going to continue to do. It's sort of like, how do you get stuff to you faster? But also the fact that most of us are going to have a replicator in not too much time where you press a button. There's a beverage replicator, I can't remember the name of it. It's basically a pod. And it's like, you know, the coffee pods you get.

It's just like that, where you buy a subscription and this thing will make you alcohol drinks, any kind of a drink with the push of a button by mixing a couple of chemicals together. That apparently tastes like the real thing. And it's a subscription based, okay, so you get components and you pay a dollar to three bucks a drink.

But in here, this is, this blows me away. The first three drugs, cosmetics and whole. And toiletry wholesaling, then pharmaceutical wholesaling and the new car dealers.

So I can't right off the top of my head say, here's exactly how AI is going to affect that.

But the biggest money is going to come from managing information, knowledge and communications, all of which AI can simplify dramatically. But I'm going to stop yapping for a second and just get your take.

Well, I think the technology, coaching teamwork is that you have to put the three things together, that you've got new technology and you've got teams, and there has to be. And it won't be a. It won't be an autonomous coach, it'll be a human coach. Because humans are good, really, really good at very, very illogical questions and very, very illogical observations. You know, we have logic as a tool, but we're not. Our brains are not logical. Our brains are associative. And you think of something and it relates to something you read somewhere and you put the two together. I mean, you're making all sorts of connections here that you didn't read, that you didn't read. You just put them together. It's like my 6ds. I've just read a lot of stuff and I put together, I've got 1 60s and then I put the 2. No, computers can't do that. And the reason is computers don't have purposes. You know, humans don't have technological goals. Humans have human goals and they use the technologies that become available to achieve their human goals. Okay, and the other thing, is it real or is it artificial? You know, takes on a really big difference. I went by an artificial diamond that somebody says it's as good as an actual diamond. I said, I went, buy it. I want a, I want a blockchain. Proof that this was mined in a certain place. And the blockchain went through. I went drink a wine that tastes as good as the real thing from Flora, from France. You know, I'd want, I'd buy the real thing. Now that's, that's strictly me. I'm not saying it's other, other people, but I think that originality is going to become a very, very high premium in the world.

Everything. So humans have been dealing with tools for 45, you know, 200,000 years. And we get excited about them for a while and then they just become part of what we're doing. So I think all this is happening, but the other thing is the Consumers aren't there to consume them.

Yeah. Yeah. Well, which leads me to a couple things. Based on what you just talked about.

I think there will always be a premium for originality, novelty, and experiences. Okay. The. What I would propose, and this is a big eye opener for me, it's when my son was driving age. For you and me, having a driver's license meant freedom. Okay. Get out of the house, go out, be free and independent. And there's a whole generation now that has Uber and Lyft, and you wouldn't believe the percentage. I'd say about half of Zach's graduating class, and he's 20 now, didn't have a driver's license until they graduated high school. It just wasn't important to them because their whole life lived inside their phone, their companionship, the relationship. And if you go into a. A room with four or six or eight young people, every one of them are on their phone, and they may be talking, texting the person next to them, and. But they're doing it in a group arrangement with people who could be anywhere in the world.

But it's weird because they just don't talk. You know, if you have a kid sending them a text message, they don't get back to you. They don't even respond and say, I received this. You can't tell that they read it or received it because it's just like their whole.

You haven't communicated. You actually haven't communicated.

Yeah.

You've only communicated if you get a response.

Yes, that's our way of thinking about it. But in their world, their. Their communications are done through platforms, so they talk through Snapchat or Instagram or whatever the. Or Discord or something like that. Some of it is. It's different, it's unique, and it controls. They. They don't approve. Their parents. Like, I still can't communicate with my kid on some of the platforms. It's private. He doesn't want us to see his friends.

That's at 20. And he's not one of the weird ones. So that's the first one. Hey, action taker. Mike Koenig's here, and I just wanted to interrupt for a second and let you know that if you're ready to reinvent yourself and your business, go to connecttomike.com to learn more and book a conversation with me right now. All right, back to the episode, the next one. And I think this is the most important. If I had one giant takeaway. What AI represents is augmentation. So to invent and to create in the future, both the now future and the very near future, you won't need to know science, math, or have specific specialized knowledges to create massive change. Because you could have an idea and say I want to make, I want to solve and do a little bit of research. And then depending on the category, there will be a specialized AI and you just build a simulation that you can test. And like.

Urban planning, for example.

Architecture, you can start with. I want something that looks like this. And it will figure out the best materials based upon where you are at the lowest cost and who would build that for you and, and where all the pipes and electrical systems should be located based upon the climate.

So things that even get missed by the greatest specialists won't get missed by the AIs. So, and a negative side of this, and my son's very concerned right now because there's new street drugs that, you know, the way the street drug people stay ahead of the law is they just create a variant of the drug that isn't illegal yet. As soon as something things illegal. And some of the latest synthetic opiates are Narcan resistant. There is no way to pull someone out of a coma. And they're killing a lot of kids.

And he's like this kind of, this is like the coyote's death, you know, I mean, first of all.

You know, so the kid's got all these technological advantages, but he's just killed his brain. So that just wipes out all the advantages in one fell swoop.

Yes.

Yeah. So I think that, you know, I'm a great believer in, you know, Moore's law about the microchip. I'm also a great believer in Newton's third law, which is for every action there's an opposite and equal reaction. So.

Elon Musk is an action. And then there's a counteraction. There's a counteract, counteraction against. I mean, or what, what he creates and what he, what he, what he predicts and. But if EVs are so good, why do they have to be subsidized and mandated by government? Shouldn't it be obvious that everybody should have an ev?

Yeah.

And that, that now you're getting into real problem because it happened. You know, there's a lot of therapeutic drugs that would have been good for trauma therapy that were invented in the 1960s. LSD is one of them and everything else. But they became politicized and EVs have become politicized. It's a left wing car, It's a Left wing car right now. And the direction of the country isn't left wing. The country, you know, because, you know, people think when New Yorkers move to Florida that they vote like New Yorkers. They don't. They begin to vote like Florida. So there's politics in here and there's regulations in here and everything else. So is it all happening? I believe it's all happening, but there, there, there are reactions that they don't take into account. So, so I'm not, I. I'm a complete believer. And I'm gonna. I mean, the stuff related to writing that's useful to me, I'm gonna look it up if we can do it. But I have to tell you, it may be there and ready to use. But in the scheme of things, with what other people are doing in my company, and I'm busy, it'll take us a while to make it useful for us.

Yes, yes. And I think the.

If everybody else can do it, then it's a commodity.

Yeah. The distinction is, it's. We're. You know.

One thing that I think is going to be hard to replicate is like, for example, part of Dan Sullivan's magic is he is collaborating with a lot of people all the time, testing his ideas, as you say on check Writers. Because someone's opinion doesn't matter unless they've got skin in the game. That's my strong belief and opinion.

And then for AI, like, I think it would be useful and interesting to you, but what the AI doesn't do at this moment is it can create content chunks that are super valuable and interesting and augment the creative writing process. But someone has to edit it and put it together.

There's a contextual overview. I mean.

Yes.

Yeah. And I mean, you hire writers, I hire writers, and if they get 80% right in relationship to the context, I'm really happy.

Yes.

And I don't think a machine's going to do too much better because it's an interactive thing and you have to have experience. And you. You know, I was a speechwriter, and I got to the point where I really could hear the person's voice while they. But it took three or four years, you know, to develop that ability. The problem is that everybody wants to commoditize these. They only pay off if you commoditize them right off the bat. And if everybody's using it, then the advantage of any person is negated by the fact that everybody else has got this available. Say, Boris Spassky. I saw really interesting interview, and he was the first grandmaster world champion who was defeated by Deep Blue, the IBM computer. And the person said, so what do chess players do now? He says, oh, all the really skillful chess players have just moved up a notch. So it's now a competition between a grandmaster with his AI program and other grandmasters with AI program. And the same skill differential between the human beings is just the same. Humans just move the game up one notch when they get a new tool. Everybody's got the same tool. It still comes down to Tom Brady with an exoskeleton would still be better than all the other quarterbacks with an exoskeleton.

Yeah.

Mike Kagan with all.

Every technological capability in the world would still be superior at what he does against everybody else who's got the same technological capabilities.

Right. And there's two.

Important but non obvious ideas here, the first of which is, so let's say you get that tool and you want to take advantage of it. What a really smart organization does. And I'm going to just use a really simple one. If you have a shopping cart program or a CRM in your business. Well, HubSpot and Salesforce really, really understands it's buying customers now. And you know, they, they sell you crack at first. They give you something that you can use for free, try it out and you see an improvement. But suddenly their fees are so big that they're sucking out the difference. A significant, significant part of your incremental revenue that you gained and then make you a dependent and it's impossible to leave. Right. You're an addict. And that's the problem with commodity, these tools as quickly as they do.

And then on the flip side, I'll tell you what the eyes do right now that makes up for.

Some of the, the challenges that you brought up, which is if I am writing with it, so I'm writing a sales letter or a piece of copy or now I've got some really good tools that just you type in the intent of a email and it will write the whole email for you. Okay. It's sort of like who it's, what it's for, who it's to and it adds all the niceties and you type in the tone of the message. Okay? But what Jasper.AI and some of these other ones do is you give it an instruction and it'll write five different blocks and then you pick the one you like, you modify it and then you tell it to spin it and it'll write it again. So it's more like a companion.

And I Think, Well, I think it's an assistant. It's an assistant and it's a fast assistant. And where I saw it.

Of all the technologies that Peter talks about.

At abundance360 and this goes back 10 full years with the major and then we had tests run about. So it's been been about 11 years. There's only two that have exceeded the predictions that he was making and none of the others have exceeded the predictions. They've lagged the predictions. The only two are AI and medicine. Those are the only two where I see there's been a we're a lot further ahead in 2022 than was being predicted in 2012. And the reason is that AI dubs the lab work 10,000 times faster than a human can do the lab work. Okay, the vaccine in three days. But you still have the problem that the vaccine may have all sorts of negative consequences, consequences that you know that they didn't anticipate with the ones that they brought out over the last two or three years. But there's a lot of suppressed information about really bad reactions to the vaccines that they don't want you to know. And I can't see how an AI tested and developed vaccine is going to solve the problem that the human brain and the human body is just infinitely more, more complex than.

Any designer of an A program can possibly take into consideration.

Yeah, and my response to that is and this is why they talk about the and again, let's take the religious context out of this. The singularity, what's happening rapidly is lots and lots of blobs of data that may be seemingly unrelated are being combined and mashed up right now. And you know, you're grabbing data from all different sources and when it's plugged together now the AI can traverse that and simulate it. So simulating a full human, at least a vaccine on if you've been DNA sequenced, it will be able to predict and look at the effects. Now, I don't know to what degree of accuracy, but I would suspect it's pretty darn high. And there are so many data sets available and assuming they can do anonymous aggregate of that, meaning you go to and rent big pools of this data, you'll be able to simulate a huge percentage of society. And again, I'm going to take one disparate concept, but related so meta just a week or two ago came up with a way of you'd have a little non invasive skull cap you'd put on your head and it could predict what you are hearing with 72% accuracy by listening to your brain waves and using predictive algorithms. It's because AI is getting really good at context. It knows the context of what's going on, so it'll know what you're thinking about and interpret that. And, and what this means is where neuralink is invasive, they're actually putting little.

Sampler wires inside your brain that listen to and pay attention to certain signals.

What AI can do is predict, and it can do that on the basis of trillions of data points. And like I said, I think what will invariably happen.

Is the universe is a fractal. When you look up into space, you see fractals and when you look down through a microscope, you see fractals. I think we're going to start.

We don't. We don't. No, I disagree. I don't. That what we see, we take in some new information and our brain memories supplies the rest of the picture. When we're seeing things, we're only picking up 10% of what's there and our brain supplies the other 90%. And the reason is the human brain, operating at full thinking ability, only uses 150 watts of electricity an hour. Where the total for our system think about things is like 150. The sheer amount of energy that's needed for these AI programs, you're going to have to need nuclear reactors to them. When one of these programs can do what the human brain does with 150 watts, then we're talking about a breakthrough. Okay, I'm just saying, I'm just saying that the energy cost for this is through the roof. They don't have the energy to supply the technology. You put in a new. They're putting in a new chip factory north of Phoenix.

You know, it's the Taiwan company that's the number one crater and it's going to have 30,000 people. The Arizona electrical grid can't handle that right now. That those 30,000 new. New people, you know. Yeah. And no server farms. Server farms. You're going to come to a point where the energy, especially with one party trying to cut down the main source of source of energy. Yeah. And it's funny because the same party that the technology people mostly belong to, or at least they say they belong to, one part of their party is working against their future. So they got to SOL insight. So I, I'm just looking at. Because I'm used to looking at things politically and from a regulatory standpoint. And it's friction. There's just enormous friction. And the other thing is that I.

Computers only get smart of smarter than human beings when human beings dumb down to be dumber than computers. Okay, okay. And I see young people getting dumber than computers now.

Yeah.

And if they're supplementing it with chemicals, they're getting even dumber. So I think it takes smart human beings. I mean, you know what I notice is if I look at 18 year olds, when I was 18, we look about five years older than the 18 year olds right now.

Yeah.

Because we're prepared. In my day, we're preparing to be adults. Today, children don't even know what an adult is. And the problem is a lot of adults today are trying to become children.

Yeah, that's. That's interesting. I, Yeah, I get what you're saying, Mike.

I just want to tell you I believe that all this stuff is going to happen, but it only happened as a result of smart entrepreneurs taking it and applying it to this. And If I have 10 people creating the instructions for copy in that room, and Mike Koenix is one of them, the other nine don't have a chance with their new technology. I'm just saying I would always bet on you with a new technology against anyone else with a new technology.

Yeah. I think there's unquestionably, that is the.

You know, if, if, if someone said, how can I prepare myself for the future and be super valuable and increase my capabilities? It's like, learn how to make.

I would say go and see if you can in some way through your contacts, spend some time with Mike Koenigs or Joe Polish or Dean Jackson or, you know.

Yeah.

You know, others. But I said, I've. I think that the center of the game is always smart humans.

Yes. Unquestionably, that know how to leverage and use technology to create a multiplier effect. Right. And that's, it's. I. What I like about your thinking is first principles. And I am not, I have not engineered my brain to think through a political lens. So when I hear.

Your perspective, I'm like, damn, I didn't even go down that, that, that path. You know, I'm. I go down the market path and I'll leave you with one big idea which may or may not tie this whole thing together. But I was talking to a really smart friend of mine who runs a couple software companies and we were talking about naming a business and he said, the most expensive thing you can do in a marketplace is try to reframe an audience so someone hears one thing and it means something to. It doesn't matter what you do it'll cost you a fortune to reframe it. So, you know, and, and that is how quickly does someone understand why this is relevant to them is. Is a big, big barrier. And when you look at politics, at least charged politics, one word can set someone off. You know, that's the danger of the social media world we live in. When there's so many triggers. There's incredible landmines. You know, what would call the woke movement is just a minefield of triggers that didn't exist before and now where.

Used to have it's completely emotional attachment to an idea that's not even a true idea. I mean, yes, you know, and you know, so. Yeah. So I think there's just a lot. One Stephen Poulter who's in free zone and he's, you know, I think probably rated in the top five IVF doctors in the world. And I was asking about crispr, CRISPR technology where they can engineer the genes, they can go in and they can engineer the genes. And he says, yeah, it's really interesting. They can do what they intend to do, but then there's 10 unintentional consequences that happen in the body and other genes and we have no comprehension how that happened.

Yeah.

And he said this was true 20 years ago, it was true a year ago, it'll be true ten years from now. It's just infinitely more complex than you think it is. Yeah, yeah. So, you know, and you know, and I talked to him about it and I said, well, how do you keep your morale up when you know that's true and you say it's. You want to be as smart and up to date as you possibly can so you can be useful to specific patients and human beings and it's never going to be any different than that.

Yeah.

Yes. Really? That's really powerful thinking. Well, let's anyway.

But it was great and you've given me a lot to. But I would never use the Jasper to create the messages outside. I would create.

Something that kind of writes like I do and then I would have it talk to me so I can see.

What I actually said, you know, like, you know, I wrote it down and then it talked back to me. I'd like to do it, but my problem is I don't want the company that has this software to have my thinking.

Yeah. So the way that's working right now, for example, and at this moment there isn't anything quite like you're describing unless you glue a couple apps together. So there are different writing tools and I'LL do a little more research because there's some that are writing novels, there's some that are poetry, some of them are song lyrics. You know, there's AI generators for composing music now that are actually getting pretty good. I heard one doing a Jimi Hendrix knockoff the other day and it was pretty close. I mean, totally synth based guitars. Even the voice, it was really weird. But descript is the deep fake voice synthesizer that samples you and then you can feed it a script and it does the cadence. Right. I mean, it really sounds good.

Yeah. And I've heard, I've, I've come across a couple of them on, on the Internet and. But they couldn't do the, they couldn't do you. But the voice, you know, the voice that they give you, they give you a choice of 30 different voices, different cadences and everything. And there was one that really sounded good and the inflections were good and everything like that. But my sense is that we're so geared to.

The issue of trust that if.

We'Ll get fooled and then we'll develop a greater sensitivity, we'll develop a greater sense, you know, I think, you know, it's like being all the people who grew up during, in Israel as children during the violence, the worst violence were ba. Cafes were exploding. They said they just have superpowers of picking up a stranger, walking down the street, how they're walking and everything like that. They can just tell this is trouble coming, you know, the guards at the frontier and everything like that. Our brain develops to meet the challenge. Okay. And if getting fooled by technology is the challenge, our brains will jump to another level. Not everybody's. I mean, certain people will, you know, but we'll get good at this. Yeah, but, you know, I mean, I find it fascinating and I think it's all going to happen and we live in a wonderful world where this kind of stuff. But I tell you, I trust, I trust the, I trust the technology a lot more than I trust the people behind the technology.

Oh, yeah, no, it's, it's.

I don't trust Mark Zuckerberg with anything.

No, he, I am convinced he's an evil alien.

And no, he's not. He's an evil human being. You know, and, you know, and you know, he comes across as weird because that's what evil does to human being. You know, I mean, he's creating the metaverse because he's trying to create someplace where he can't be delivered with a subpoena.

Yeah. Yeah. Oh, that's interesting. You know, that's brilliant.

Really? Really?

Yeah.

How fascinating is that? Well, if you think damage has been done to our children in. Through the social media universe, you ain't seen nothing yet. And.

I predict there will be a considerable backlash against this already. Again, I measure certain things through my son, but he sees an interesting lens. He is terrified of AI right now because he's gone down the rabbit hole. He's researched this, and he sees the movement and the speed.

And he is watching the effects of what drugs and social media are doing to his generation. He's like, right now he was just going on about how the Internet is a bad place. He went that far. And I suspect we're about to see a massive pendulum.

Well, and I think it's a generational thing, you know.

Yeah, totally.

Generations don't repeat themselves. If you have one generation that goes for it, the other next generation differentiates themselves totally from, you know, and you can see that with the boomers. But the other thing is an artificial construct. Generations. You know, it's 18 years. Do you think the person in the first year of the generation has anything in common with the person in the 18th year of the. You know, I mean, I'm two years before the boomers, okay. And I'm part of the generation that started in the 1920s, but I have nothing in common with people who were born in 1928, 29, 30, you know, you know, I was born in 44. And, you know, and. But there's a significant difference between how I was treated than the boomer generation, because my life's just been all abundance. There was always more.

Educational resources because we were a small. We were the smallest generation. We were the first generation that was smaller than the generation before. The job market you got, you get a job, you know, I don't like this job. I'm going to get another job. Job, and there's another job. And the boomers, it was just pure competition. I mean, they. There wasn't enough of anything. There was too many of them and not enough of anything. So they're fiercely competitive. But the ones who were born in the 40s had a lot better than the people born in the 60s, you know, so anyway. But, you know, humanity is infinitely bigger than anything that humanity creates.

I told Ray Kurzweil that the first time I heard him speak. I said, it's an interesting thing that you're doing here, but I want you to know that humanity is always infinitely bigger than anything that humanity creates.

Yeah. Wow, that's. That's a big, big Idea.

Yeah.

Especially to Ray, because I have enough of Ray living in my brain. I kind of know how he thinks and talks right now. I listened, I've read his stuff. And.

He definitely. He's a fascinating guy. And then you can certainly see there are times when he gets certain kinds of information and that does not compute. Light flashes.

Well, the biggest thing, he's got good parents. And that's the most important thing that's, I mean, my life, you know, I mean, I just lucked out. I just had.

They weren't perfect parents for my siblings, but they were perfect parents for me.

Yeah.

Yeah.

How lucky you are. That is quite the gift. That's the lucky cosmic dice roll. So how would you like to wrap this up? Any last observations?

Yeah, well, I think first of all, from my standpoint, if I'm a listener to, to this, it's things to pay attention to, you know, and, you know, I would develop, you know, there's all sorts of neat, you know.

Note downloads on your computer. Your computer is really great that anything that, where you see AI involved, just copy the article and drop it in the file. And then, you know, and if you read 10 articles and YouTube is just a treasury for this. I mean, yes, you know, you know, I mean, on any topic, there'll be five YouTubes that if you watch all five of them, you're smarter than 99% of other human beings on the topic, you know, so that, you know, so that's what I would do is just pay attention to it. You know, if it was 1890 and people were talking about electricity, just learn everything you can about electricity. It's going to be a big deal, you know, and hardly anybody's using it and everything. You're going to be ahead of the game. If you know something, you know, and, and you know.

It doesn't matter. You don't have to be, you know, you don't have to be any smarter than the 10 people who might compete with you.

Right, right. And if I think whoever understands and uses these AI tools as augmentation.

Yeah.

It puts you way ahead of anyone else. And I grabbed a reference that I'm going to put, I already put in our show notes and it's called AI Gets out of Control, Refuses to Back down with Elon Musk. But it's an interesting video or you'll get exposed to a lot of developments in AI and see some of the names, you'll see the artwork, you'll see some of the tools and some of the thinking behind this. And I Completely agree with you. I think right now the fastest concentration of good information is. Is on YouTube. And then I also recommend, if you like, this level of thinking, but in even more detail, the Lex Friedman podcast is exceptional. I think he's probably L, E, X, F R I D M A N. Yeah. He's an MIT AI researcher who does a lot with autonomous vehicles and image recognition and.

Neural nets. It's machine thinking. But he is very philosophical. And what's great about his interviewing style, he's very, very well prepared. He dresses like a Men in Black character. Black tie and a black jacket and a white shirt. He's funny, he's got a buzz cut, he's got the consistent look thing going on. But he's got access to remarkable people and scientists. So he had a. A former CIA or a KGB spy who defected.

And on. And you learn a lot about psychology, but it's the way he asks questions that I really enjoy. But when it comes to the AI stuff, he's in the field. He knows that. He knows who the players are and how to ask great questions and make it.

You know, make it.

Meaningful to. To you. So, anyway, this is. I spent a lot of time in this space right now because I'm looking at.

Well, you got, you got a personal reason too.

Yeah.

I mean, that's why I notice about medical science, is that the speakers on stage on the Longevity Trip are infinitely more humane than the speakers on the A360 stage. Okay. Because one of the things I notice about a lot of the speakers on the A360, which is about all other kinds of technology, is that they're really smart, but a lot of them are kind of pricks. You know, you can tell right off the bat they're pricks. I've never come across one of the ones involved in medical technology that you couldn't tell that there was a deeply human reason why this person was so interested in this. And I trust that a lot more. I trust humane intelligence a lot.

More than I trust genius level. But it's all intellectual. Intellectual intelligence.

Yeah, I can see that.

Yeah. And it's very, very interesting. Peter Diamantis is incredibly more available in the medical science than he is when he's on stage with the other people.

Yeah. Well, when you've got a personal interest in the old survival business. Right. Stan Young.

Yeah. We're all interested.

That's a big helper.

We're all interested in the topic.

Yeah. Anyway, yeah, let's wrap this one up.

You do the. I'll do the close, you know, where all the plug just go at the end of the podcast. So plug them in, boppity boo. All right.

Well, this is another episode of Capability Amplifier. I don't know if you noticed, but Dan and I really enjoyed this conversation. This is super interesting. Make sure you go through some of our back catalog if you've liked this and you're new to the podcast. And if you can think of anyone in your life who could benefit from hearing this or is interested in it, share the episode. And then of course, like comment, share, subscribe, blah blah blah, and we'll see you in the next episode. Thanks for listening and watching.