The Joe Rogan Experience - Joe Rogan Experience #2521 - Aravind Srinivas

00:00:02 Joe Rogan Podcast, check it out.

00:00:04 The Joe Rogan Experience.

00:00:06 Train by day, Joe Rogan Podcast by night, all day.

00:00:14 Good to see you.

00:00:15 Thanks for having me.

00:00:15 You too.

00:00:16 My pleasure.

00:00:17 Yeah.

00:00:17 How many podcasts have you done?

00:00:19 I don't know.

00:00:20 I don't know the count, but maybe tens.

00:00:23 Well, when we were talking, we were talking in the lobby.

00:00:25 I was like, this dude would be a good guest because we were talking about ancient Hindu scriptures where you were talking to me about something that sounds like a nuclear bomb.

00:00:33 And I was like, oh.

00:00:33 Yeah.

00:00:35 The Brahmastra.

00:00:36 I need to know more about this.

00:00:37 Yeah.

00:00:38 So the Brahmastra is part of the Mahabharata.

00:00:41 I mean, you've talked about Mahabharata in a bunch of different manas.

00:00:45 Yeah.

00:00:46 So the Mahabharata is one of the two Hindu epics.

00:00:50 The other one is Ramayana.

00:00:52 But Mahabharata is more interesting, it's more complicated.

00:00:54 It's like a lot of different stories interleaved together.

00:00:58 And the Brahmastra is the equivalent of the hydrogen bomb.

00:01:03 And how is it described?

00:01:05 It's described as a weapon of like mass destruction.

00:01:08 You're going to annihilate the human population.

00:01:11 It should not be used at any cost.

00:01:14 There's a moral contract.

00:01:16 You clearly have to be violating so many things at a deeply moral level to even wield it.

00:01:24 And it's not actually accessible to most warriors.

00:01:29 There's probably two warriors in the world in that era who were allowed to use it.

00:01:36 And it has to be passed through special access.

00:01:40 A teacher has to pass it on to you, the secret.

00:01:42 To use it.

00:01:43 Almost like a new.

00:01:44 Think about it as like the equivalent of a nuclear code, right?

00:01:47 And Arjuna had it.

00:01:50 This particular character in Mahabharata called Arjuna.

00:01:54 He was allowed to use it.

00:01:55 And then this other person was.

00:01:58 Basically, Arjuna had a teacher named Drona.

00:02:02 And Drona had a son named Ashwatthama.

00:02:05 And Ashwatthama was always jealous of Arjuna.

00:02:09 Arjuna was not Drona's son, but he was his model disciple.

00:02:13 And so Drona passed on the secret of the Brahmastra to him.

00:02:16 And Drona's son also wanted it.

00:02:21 But because it was his son, he also passed on the secret to his son, even though the son wasn't as good as Arjuna.

00:02:28 And during the war, Arjuna and Drona fought on the opposite sides.

00:02:33 It's just circumstances.

00:02:37 And his dad died, Ashwatthama's dad, the teacher died in the war. 0.87

00:02:41 And so the son got mad and unleashed the Brahmastra.

00:02:46 And Lord Krishna had to come and save it. 0.94

00:02:48 Save the planet to not get that destruction force.

00:02:52 How old is the Mahabharata?

00:02:56 Again, there's a lot of different opinions on this, so I don't actually know for sure.

00:03:01 My understanding is at least 1,500 to 2,500 years old.

00:03:06 1,500 years ago is the minimum, 2,500 years ago is the maximum.

00:03:11 So it happened in some period in that thousand year time frame between that.

00:03:18 And it's still unclear if a lot of it has just been.

00:03:24 And what actually happened was just a war between kins.

00:03:29 There were two groups of people, the Pandavas and the Kauravas.

00:03:32 And, you know, each side thought they were fighting for their own rights and justice.

00:03:38 But at the end of the day, you can crudely understand it as like essentially a fight for the kingdom.

00:03:47 Basically, there was a previous generation and two brothers, and both the brothers had a bunch of kids, and those kids were warring to get the next in line.

00:03:57 And that ended up being like a massive war, and a bunch of other allies fought on each side.

00:04:04 And so many amazing weapons were used as part of the war.

00:04:08 And a lot of these weapons are like extremely, like describe an extreme level of detail that is pretty incredible.

00:04:16 Like there's a lot of detail around like targeted weapons.

00:04:20 So you could precisely identify a target and just shoot at that.

00:04:24 And then, does it explain like what the weapon is?

00:04:27 Yeah.

00:04:27 So there's one weapon called the Divyastra where you can just.

00:04:31 Specifically targeted any particular person or group, and it would just automatically direct itself and do it, almost like a semi autonomous weapon.

00:04:41 And then Lord Krishna had this weapon called the Sudarshan Chakra, it's basically a discus.

00:04:48 And then you can just release it, and it'll go and specifically identify somebody and chop off their head and come back to your right.

00:04:56 It self directs itself.

00:04:57 So, what I was amazed by is how interesting it is in terms of.

00:05:05 All the autonomy in the weapons, semi autonomy or autonomy, where the weapons could just be directed at people or directed at a group of soldiers and it would just go and do its job and come back to the wielder.

00:05:17 And there were so many different astras Divyastra, Varunastra, Nagastra. 0.61

00:05:22 Ramastra is obviously the ultimate, the hydrogen bomb equivalent.

00:05:26 And all of these are described in a lot of detail and who has access to it. 0.67

00:05:31 And of course, it's mythologized, so it's described as these arrows in the back of your shoulders.

00:05:38 You could understand it as like somebody having just access to a lot of weapons.

00:05:42 And then whoever was powerful would go capture and colonize and gain power.

00:05:49 And essentially, a fight between a group of cousins.

00:05:53 That's the bottom line of that story.

00:05:55 Now, if we think of history as this linear progression from caveman to us, and we hear about autonomous weapons that were written in the Mahabharata somewhere around 2,000 plus years ago, we go, well, mythology.

00:06:08 But if not.

00:06:09 If there's been some sort of rise and fall of civilization, if there has been catastrophic, whatever it is, asteroid impacts, shifting of the poles, whatever it is, it's caused great disasters.

00:06:22 You can imagine that these people are remembering a time where there was some sort of very advanced civilization.

00:06:30 And this is what they're describing.

00:06:31 Like, if you knew for a fact that there had been a great, advanced, technologically advanced civilization, when we have evidence that they had some technology, like the pyramids.

00:06:42 Giza and stuff.

00:06:43 Like, how did you do that?

00:06:44 There's some technology involved, right?

00:06:46 Yeah.

00:06:46 But we don't have evidence of the technology.

00:06:48 But if we did, if we knew for a fact, you would look at the Mahabharata and go, oh, this is history.

00:06:53 They're just explaining it in a kind of crude, contemporary way for the time, arrows instead of, you know, semi autonomous drones with exploding heads on them.

00:07:05 Yeah.

00:07:05 I mean, that's what we have now.

00:07:07 All those things that they're describing hydrogen bomb, semi autonomous and autonomous drones.

00:07:14 I mean, they have.

00:07:15 They have autonomous fighter jets now.

00:07:17 Like, they don't need people anymore.

00:07:19 Like, this, we're in that area right now.

00:07:22 So, when you read about something like that from the Mahabharata, you go, Okay, what was really going on?

00:07:27 Exactly.

00:07:28 I mean, that's always been my fascination with those epics and the level of detail with which they described all these weapons and who had access, different levels of access, the status required to have access, and how it was used in the wars.

00:07:28 Yeah.

00:07:46 Different formations of the soldiers.

00:07:49 They had all these crazy formation structures, like forming the army like a lotus, forming the army like a.

00:07:58 There's something called a chakra viewha, literally, it has to have concentric circles.

00:08:03 So you cannot actually get into the innermost circle without going through the outer circles.

00:08:08 And then you can get killed by each of the flanks whenever you're trying to enter in.

00:08:12 And the secret of how to actually break into these viewhas, viewhas means formations, was only known to a few people.

00:08:20 And it's incredible.

00:08:22 Like, you could say, okay, like somebody had to be extremely skillful to have that sort of like visualizations and imaginations of describing a story like that.

00:08:33 And obviously, like Tolkien has done an amazing job with a lot of the rings, you know, and creating so much detail.

00:08:39 At the same time, like a lot of it actually coming through in real life in some form, again, not exactly the same weapons, but similar style makes you wonder.

00:08:49 Was there actually something around then?

00:08:51 And people have tried excavations in all these areas.

00:08:54 There's like two main areas in the Mahabharata.

00:08:56 Hassinapur was the name of the kingdom.

00:08:58 And people have done excavations around there and have found some artifacts that might date back to those years.

00:09:06 But there are also some details that are described in the epics that don't quite align with reality.

00:09:11 For example, all the men, all the main warriors in that era were described as very tall, very big.

00:09:21 Seven, eight feet, whatever.

00:09:22 I don't even know exact numbers.

00:09:27 But studies by archaeologists also say that people who lived in those years in those regions were probably not more than six feet tall.

00:09:37 So it's not clear exactly what happened, what was correct, what was not correct.

00:09:42 And we just have to keep probing more.

00:09:44 But I find the idea fascinating to think of what could have existed in sacred texts that was.

00:09:51 Only partially communicated to the next generation and having a lot of like reinterpretations.

00:09:56 Another thing that is very interesting to think about is Vedic math.

00:10:00 So, um, that basically Vedic math is like a branch of mathematics that you know some people in India are grown up learning.

00:10:08 Like, I read it myself too, and uh, some people actually practice it just to be sharper at mental math for doing their exams, like GMAT and things like that, GRE.

00:10:22 It has like a line in the Vedas that says, oh, like one from the last digit, two from the first digit, whatever.

00:10:28 So many different ways of multiplying two different numbers, like 97 times 96.

00:10:33 Oh, like subtract the last two digits, put it right.

00:10:35 Multiply the first digits, put it in the left.

00:10:37 That's the result.

00:10:39 And then you wonder, like, oh, wait, the Rig Veda is so old, it's as old as, it's the oldest sacred text out there.

00:10:47 How is it describing computation?

00:10:51 Very unreal.

00:10:51 Right.

00:10:52 Like, did they actually know or understand advanced forms of computation even back in those days?

00:11:00 And how old is Rig Veda?

00:11:03 I don't exactly know how old it is.

00:11:06 Why don't we put that into perplexity?

00:11:08 Yeah, let's do that.

00:11:09 Let's find out.

00:11:10 Yeah.

00:11:12 Yeah.

00:11:13 It is technically the oldest sacred text out there.

00:11:19 And so, what's interesting is, I wonder.

00:11:23 How old the stories were by the time they were written down.

00:11:27 Like, how much of it is relayed person to person for years and years, just like the Bible, before it's ever actually written down.

00:11:36 Scholars usually date the composition of the Rig Veda to about 1500 to 1200 BCE.

00:11:42 So, its oldest layer is roughly 3,200, 3,700 years old today.

00:11:48 Like, if there really was, like, every ancient culture has a story of a flood.

00:11:56 Everyone, they all have an apocalypse.

00:11:58 Mahabharata had the same thing.

00:12:00 Was it the same?

00:12:00 Mahabharata had the same thing where there was a big, like, almost like a tsunami like thing.

00:12:05 I don't exactly know what it was called, but that was the collapse of Lord Krishna's kingdom, Dwarka.

00:12:12 After the war, a lot of people died, but some people survived.

00:12:14 And even those who survived got wiped out by a calamity or like some kind of like a fight among themselves.

00:12:22 And most of the people who participated in that era actually died.

00:12:26 Here it is the primordial Manu flood.

00:12:28 How do you say it?

00:12:29 Manu?

00:12:30 Manu flood.

00:12:30 Yeah.

00:12:31 Classic Hindu great flood myth where the righteous king Manu is warned by a divine fish about an imminent deluge that will destroy humanity.

00:12:42 He builds a boat, loads it with his family.

00:12:44 It's like Noah in the Ark.

00:12:46 It's the same thing with seeds and animals, ties it to the horn of the god in fish form, which tows the boat to safety until the waters recede and the world is repopulated.

00:12:57 They all have the same story.

00:12:59 Yeah.

00:13:00 That's what's really crazy.

00:13:02 There is a concept in Hindu philosophy called the yugas.

00:13:07 Mm hmm.

00:13:08 I'm reading a book about it right now.

00:13:09 Yeah, yeah, yeah.

00:13:10 So there's like different yugas, and yugas are like thousands of years.

00:13:14 The concept is that the yugas keep cycling around.

00:13:18 And so, like, we are in the Kali Yuga right now.

00:13:21 And before that, it was a Dwapra Yuga.

00:13:23 That's when most of Mahabharata happened.

00:13:25 And before that, it was a Treta Yuga, where the Ramayana happened.

00:13:28 And before that, there was another Yuga.

00:13:30 What is next after Kali Yuga?

00:13:32 No, there is nothing next after Kali Yuga.

00:13:34 It goes back to the first one.

00:13:36 I forget the name of the first Yuga.

00:13:37 Because the interpretation that I'm reading is that we're not in Kali Yuga anymore.

00:13:42 And that Kali Yuga ended in the 1900s and Dwapra Yuga started then.

00:13:46 No, no, VR and Kali Yuga right now.

00:13:48 100%.

00:13:49 So, why do people have different interpretations?

00:13:52 Is that true?

00:13:52 Yeah, there's like a guru interpretation.

00:13:55 There's like one specific guru that has this interpretation that Kali Yuga ended in the 1900s and that we're moving on.

00:14:05 Interesting.

00:14:06 Yeah, but I don't know who's right because it's an enormous cycle, right?

00:14:09 The cycles of humanity.

00:14:10 Yeah, thousands of years.

00:14:11 Yeah, thousands of years.

00:14:12 And so.

00:14:14 Yeah, so these are the four yugas.

00:14:18 And.

00:14:22 So, why do people have different interpretations?

00:14:25 Let me tell you the book I'm reading.

00:14:27 Yeah.

00:14:31 See if this book is discredited, young Jamie.

00:14:35 It is by a guy named David Steinowitz.

00:14:46 Stein.

00:14:48 Steinmetz.

00:14:49 David Steinmetz.

00:14:50 The book is called The Yugas.

00:14:51 Interesting.

00:14:52 Interesting.

00:14:52 Yeah, I mean, the problem is when someone's got their own interpretation or some guru's interpretation, it doesn't totally align.

00:15:01 It's hard to know who's right and who's wrong.

00:15:03 Yeah.

00:15:04 Key to understanding our hidden past, emerging energy age, and enlightened future.

00:15:10 Yeah.

00:15:11 So go back up to that again.

00:15:13 So this is in the description.

00:15:15 See what it says that?

00:15:17 Where it says in 1894, an Indian sage gave us an explanation not only for our hidden past, but for the trends of today and for future enlightenment.

00:15:26 So, there's like one guy's interpretation that this guy is going off of.

00:15:31 I guess the difference might be that he thinks the yuga cycle is 24,000 years, whereas I think it's probably much longer than that.

00:15:39 Yeah.

00:15:41 Four yugas together is 4,320,000 years.

00:15:46 You know what's really nutty?

00:15:47 Yeah.

00:15:48 One of the really nutty things is both in the ancient Sumerian texts and in some of the ancient Egyptian texts, there's depictions before the flood of people who reigned for thousands of years as kings.

00:16:05 And it's common.

00:16:05 Yeah.

00:16:07 It's not, it's, and it's also, they're referenced multiple times in different scriptures.

00:16:11 That are from different parts of what was Sumer at the time.

00:16:16 It's really weird.

00:16:17 It's weird.

00:16:17 Because they take it as established history once it gets to a certain age.

00:16:22 Once they get into, like, whatever the age is where they can verify that this person was the king for a certain period of time.

00:16:28 But it's all in the same text as people that reigned for 6,000 years.

00:16:33 Yeah.

00:16:34 And then one of them just wipes out the whole thing.

00:16:36 Yeah.

00:16:37 And, I mean, this is also somewhat, like, tangentially related to.

00:16:44 The Fermi paradox.

00:16:46 You know, like if you assume all these things are happening on Earth itself, that entire civilizations are getting wiped out.

00:16:54 And like we always wonder, you've explored this topic the most, and where are the aliens?

00:17:01 Right.

00:17:01 And there are different arguments that, like, okay, like the reason we haven't quite found that is because the great filter exists.

00:17:11 And there is like one entertaining theory that I like.

00:17:15 Just for the sake of entertainment, is almost all civilizations end up advancing technologically a lot, and either a calamity wipes them out, or like they build some misaligned AGI and then AGI wipes them out.

00:17:30 And because of that, they never actually end up being visible to us.

00:17:36 Or the other theories that, like, they're like, we haven't quite built the von Neumann probes to actually go find them.

00:17:46 Both of them are plausible.

00:17:48 And, you know, there's no clear way to, like, know unless we actually send out enough probes.

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00:18:51 That's better.

00:18:55 There's a bunch of possibilities.

00:18:56 I mean, there's almost too many to count, but there's the possibility that they are observing and that they don't want to interfere, and that we are on some sort of evolutionary cycle.

00:19:06 A cycle of cultural evolution, civilization evolution.

00:19:10 And one of the things about this, the crazy ages that come from the Sumerian text and from the ancient hieroglyphs that depict the Zeptet, how do you say it?

00:19:23 Zepteti?

00:19:23 No.

00:19:25 How am I saying that?

00:19:27 What is that text, that ancient text?

00:19:29 Remember, we talked about it with Zahi Hawass and he denied its existence?

00:19:35 Zeptepi? 0.97

00:19:36 Is that it? 0.94

00:19:37 Either way, you're dealing with these kings that reign for thousands and thousands of years.

00:19:42 Well, you know, David Sinclair is in the middle of this research now that they're working on life extension drugs, like that are actionable.

00:19:50 Yeah.

00:19:51 Yeah, that's it.

00:19:51 Zeb Tepe.

00:19:52 Yeah.

00:19:53 I've heard of that.

00:19:54 So these, but this is what's so weird.

00:19:56 If they look at hieroglyphs, they get to a certain point and they're like, oh, Khufu, he was real.

00:20:01 This guy was real.

00:20:02 All these people were real. 0.98

00:20:03 But then they get back to these guys that reigned for thousands of years and they go, oh, that was just horseshit. 0.97

00:20:03 Yeah. 0.97

00:20:09 Yeah.

00:20:09 But why is it that?

00:20:11 All these people have these stories that align with this timeline that's pre flood.

00:20:16 It's all like the same story.

00:20:18 And then, if you're talking about these ancient Hindu scriptures that are discussing technology that seems remarkably similar to technology that we have today.

00:20:28 Yeah.

00:20:28 The Vimanas are flying cars, basically.

00:20:31 And probably what we're going to have 100 years from now, or whatever it is. 0.99

00:20:35 Or we could have gone that way in the past.

00:20:37 And it's very entertaining to think of, like, let's say something happens to us, right?

00:20:41 I don't want anything to happen to us, but let's say something happens to us and.

00:20:44 Would people really believe we were like launching reusable rockets?

00:20:47 Right.

00:20:49 Or making FaceTime calls to people in Australia?

00:20:51 Yeah.

00:20:52 Yeah.

00:20:53 Like even fundamental things like all we were doing today.

00:20:57 I think it's all like incredible.

00:20:59 Like there's a lot of things that could be just technological ideas or maybe people actually had it and the knowledge of it was lost and it's not been documented, it's not been passed along.

00:21:09 And so we are skeptical if they ever had it.

00:21:11 Yes.

00:21:11 And so we end up reinventing it in different forms again and again and again and we keep cycling through this process.

00:21:16 Well, it also could be that this is the natural progression of human curiosity.

00:21:20 The human curiosity and ingenuity always moves into these very particular ways, like what's the best way to defeat my enemies?

00:21:27 If we're always going to be territorial primates, we're always going to want to defeat our enemies.

00:21:31 We're always going to protect ourselves from being invaded.

00:21:34 So we're going to make better and just with technological innovation, it just goes down the same path.

00:21:39 Oh, we figure out bullets.

00:21:40 Oh, we figure out nuclear bombs.

00:21:42 Well, we figure out we don't even have to use an actual plane.

00:21:45 We can use an autonomous drone.

00:21:46 Delivers it and then scale upwards and onwards, and AI, and then also life extension.

00:21:53 So, if these people were able to make the pyramids, like you know, there's a lot of speculation as to the timeline of the pyramids, but let's just say they really built it 2500 BC. 0.98

00:22:07 Let's just say back then, what the fuck were they using? 0.95

00:22:10 Like, what did you do? 0.99

00:22:13 How did you get these stones down from the mountains that were 500 miles away?

00:22:16 How about this one?

00:22:17 How about that one?

00:22:18 We were going to get to that for sure.

00:22:19 There's a ton.

00:22:20 No, thank you.

00:22:21 What's good is any.

00:22:22 How about these temples that they find in India that are carved entirely out of one piece of stone?

00:22:30 What did you do?

00:22:32 How did you do that?

00:22:34 How long ago did this happen?

00:22:35 How many of them were buried and then they had to uncover them and then figure out what is this?

00:22:42 Who made it?

00:22:43 There's no timeline.

00:22:44 No one really knows.

00:22:45 There's no evidence of tools that were capable of doing this kind of work back then.

00:22:51 And they're huge and beautiful and perfect.

00:22:54 And they have like acoustic properties and the geometry is fucking fantastic. 0.95

00:23:00 Yeah. 0.98

00:23:01 It's nuts.

00:23:02 It's not just that.

00:23:03 All of these temples were actually just built, not just that.

00:23:07 They were specifically the locations for them are picked out so that you get the right seismic vibrations over there in terms of like proximity to the ocean, the gravitational waves from the sun and the moon.

00:23:22 Yeah.

00:23:22 People actually made that level of like.

00:23:24 Look at this, man. 0.99

00:23:26 Man, imagine the undertaking of carving that temple out of the side of a fucking giant piece of rock. 0.99

00:23:37 Yeah, you screw up one thing and it's over. 0.97

00:23:40 There's no simulations, you just have to like build it.

00:23:43 Well, what did they have?

00:23:45 This is the question.

00:23:47 Like, imagine today if we had to do this.

00:23:50 Look, it's possible, this is a possible endeavor, it can be done.

00:23:53 Yeah, but imagine what kind of technology we would have to need to map it out.

00:23:59 To make sure that it was all precise, that it all aligned.

00:24:02 I mean, it's precise within like millimeters from point to point, and everything is done out of one piece of stone.

00:24:11 Like, what did they do?

00:24:13 Was it chisels?

00:24:14 Did you do that with chisels?

00:24:15 That's crazy. 1.00

00:24:16 How many times do you have to sharpen your fucking chisel? 1.00

00:24:18 That's nuts. 1.00

00:24:20 Or do you have something completely different?

00:24:22 Because some of the more intricate ones, see if you can find these.

00:24:25 Some of the crazy ones inside these temples, there's sculptures that are three dimensional.

00:24:32 And they're carved like inside of the sculpture.

00:24:35 So there's like an outer area, and then there's all these openings, and then inside it's highly detailed.

00:24:41 Like, how'd you even reach in there?

00:24:44 It just says they use chisels and hammers, and I don't think that's possible.

00:24:49 And careful geometric planning.

00:24:50 There's so many people trying to do that.

00:24:52 They said, like, this is how much work someone could do in like 12 hours with a hammer, and they get nowhere, let alone like perfect and looking good.

00:25:02 Yeah, it's nuts, man.

00:25:03 And there's a lot of evidence of stuff like that all over the world, which is really weird.

00:25:09 You have the stuff in Peru, like Soxehuaman, when you look at these stones and it looks like they're melted into place and they're 900 tons.

00:25:18 Like, what did you do?

00:25:19 Yeah, how did you even get it up there?

00:25:21 Where'd they get it?

00:25:22 How'd you get it there?

00:25:23 How'd you line it perfectly?

00:25:25 Built in only 18 years.

00:25:26 How do they know that?

00:25:28 How do they know that?

00:25:29 Because it's attributed to one king?

00:25:32 Yeah.

00:25:32 So King Krishna I, 756 to 773 CE?

00:25:39 Maybe.

00:25:40 I mean, how do you know, though?

00:25:42 Yeah, they said the archaeologists said they calculated it would take them 100 years to do it.

00:25:47 Yeah, I mean, this is where, like, you know, different historian accounts are all, like, muddled up, you know.

00:25:47 Yeah.

00:25:52 Uh huh.

00:25:53 Well, it's a real problem.

00:25:54 History is a real problem.

00:25:55 But yeah, it goes back to, like, the thing you were saying, right?

00:25:58 You know, what is one thing that's common across all these different ages is human curiosity.

00:26:03 So, I mean, that's something that I would love to get your take on this.

00:26:08 I've been toying with this idea called a curiosity premium, which is the most effective people, the most successful people have always been the most curious people, the ones who have been good at asking the best questions.

00:26:21 And they tend to do better in every aspect of their life.

00:26:25 And you're a good example of that.

00:26:27 So that's why I would love to get your take on this.

00:26:29 And the reason I believe that is because long term, people who continuously ask questions tend to do better.

00:26:38 They make more money.

00:26:39 They have a higher quality of life.

00:26:40 They're happy.

00:26:42 They have more compounding relationships.

00:26:44 People find them more interesting.

00:26:45 And so they compound their relationships over time.

00:26:48 And so naturally they end up succeeding.

00:26:52 But their spirit of inquiry, their intrinsic curiosity, doesn't actually stop once they succeed.

00:27:00 They just channelize it even more.

00:27:02 And so that's why it keeps compounding.

00:27:04 And I would argue that it's the only quality that makes us really human.

00:27:10 You know, in this world where we can seek a lot of information and get information way faster than ever before, it feels like that's that one universal human quality that's existed since ancient times, since the oldest texts.

00:27:24 Like, in fact, in the Rig Veda, you're explicitly encouraged to seek wisdom more than wealth.

00:27:32 And it's not just an idea specific to Hinduism, that specific idea exists in the Bible, it exists in the Quran, it exists in the Torah.

00:27:39 Seeking well is administered by religious texts.

00:27:42 It's actually that it's more important to seek wisdom.

00:27:45 And, you know, like you can, why I said you're a good example of that is like, sure, you have a very, very large podcast, but the way you're running it is like you're just curious about a lot of things and asking a lot of questions.

00:27:58 And I think that's that one quality that's very important.

00:28:00 So, and I feel like it's the oldest thing, it's the only thing that we've known since ancient time, being curious.

00:28:08 Well, I think it's stimulating.

00:28:10 To people, and genuine curiosity is stimulating to other people.

00:28:14 When someone is genuinely curious about something, I become curious about it.

00:28:17 I think it's contagious.

00:28:19 I think that it's also an authentic quality, and I think there's something about really wanting to know something and being interested in something.

00:28:30 If you're curious, generally you're going to ask more questions about something so you have a deeper understanding of it.

00:28:35 If you're trying to do whatever you're trying to do, a sport, a game, you'll probably get better at it because you're more curious.

00:28:41 Because instead of just assuming things, you'll ask more questions, you'll re examine things.

00:28:48 It's one of the most important human qualities.

00:28:50 And to me, it's one of the most attractive human qualities.

00:28:52 It's always been.

00:28:53 When I meet curious people, I'm always interested.

00:28:55 I'm always like, tell me what you're curious about, and I'll tell you what I'm curious about.

00:28:59 Let's talk.

00:29:01 And this podcast started out genuinely because of well, it was a lot of just talking shit with friends, but it also led into like one of my very first guests, actual guests, was Graham Hancock.

00:29:14 And it's just because I was curious because I had read Fingerprints of the Gods and I'd seen him talk.

00:29:18 I'd seen speeches, and I'm like, I want to know what do you know?

00:29:21 What do you think is going on?

00:29:23 And he's another guy, incredibly curious and absolutely fascinated with his takes on ancient history.

00:29:32 He has been talking about this subject a long time.

00:29:38 And when he first wrote Fingerprints of the Gods, I think that came out in like.

00:29:43 I want to say it was like 97 or 98 or something like that. 0.79

00:29:46 And I remember reading it, and so many of my friends, you know, educated friends, like, this is horseshit.

00:29:51 Why are you paying attention to this? 0.95

00:29:52 More and more and more, as time goes on, it's been proven that he's correct.

00:29:57 The timeline shifted back. 0.87

00:29:59 And from the publication of that book, the discovery of Gobekli Tepe and the surrounding area, like, it's like, okay, now we realize, well, there was some crazy shit going on at the very least 11,000 years ago.

00:30:12 So we pushed civilization back 5,000 years.

00:30:16 So, like, and this is just what we found now.

00:30:18 And we keep finding things, keep digging, keep looking.

00:30:22 And then you see the stuff that they're finding underneath the pyramid with this radio tomography where they're looking under the pyramid that seems that there's structures under the pyramid.

00:30:30 We've seen that stuff.

00:30:31 I haven't seen that.

00:30:33 I had the scientist that's involved in it, he's an Italian guy, Filippo Biondi, and he came on the podcast.

00:30:38 Wonderful accent, almost as good as yours.

00:30:40 It was amazing.

00:30:42 But he's describing the use of this stuff and that they've used it.

00:30:46 Successfully on known areas in pyramids and other structures, and they can.

00:30:53 In fact, there's a in Italy, there is a particle collider that is underneath a mountain.

00:31:01 And using this technology, which is satellite based technology, they get an accurate description of this particle collider that's, I think it's 1,200 meters underground.

00:31:13 Like, how far is that thing underground?

00:31:16 We'll find out.

00:31:17 But it's like deep under stone.

00:31:20 And they find that they can get an accurate, like, they can actually give you the dimensions of this particle collider.

00:31:26 They have like an image of it.

00:31:27 And this same technology is showing that there's these columns.

00:31:33 Underneath the pyramid, in various places that are 20 meters wide and they have coils around them.

00:31:41 They don't know what the hell they are.

00:31:43 And the whole structure of this thing, it's not small.

00:31:46 It goes almost a kilometer into the ground.

00:31:49 There's like this enormous bottom of it, and it seems like it's something that's constructed.

00:31:55 And so they're like, okay, well, the pyramid is crazy.

00:31:58 It's crazy enough. 0.99

00:32:00 But if there's something underneath it that's a man made or someone made it that's a kilometer deep into the ground, like, What the fuck are we even talking about? 0.96

00:32:10 Like, who made this? 0.95

00:32:12 What did they have?

00:32:15 1.2 kilometers into the mountain.

00:32:19 That's nuts. 0.99

00:32:20 It's a half a fucking mile plus into the mountain. 0.98

00:32:24 And this thing can see through all that and get this accurate depiction of this particle collider. 0.97

00:32:30 And it's showing with multiple scans, not just one, multiple scans in different technology, the same exact images, the same exact structures underneath this.

00:32:41 Fucking immense 2,300,000 stone structure that almost perfectly aligns to true north, south, east, and west. 0.91

00:32:49 Like, what was going on? 0.99

00:32:51 Don't tell me police.

00:32:53 Don't tell me copper tools. 1.00

00:32:54 Like, what the fuck was going on? 1.00

00:32:57 Something crazy. 0.99

00:32:58 And I have a feeling our simplistic explanation of it is just doing no one any justice.

00:33:04 It's doing no service to history, it's doing no service to our understanding.

00:33:08 They've got to be a little bit more open in the fact that they are perplexed.

00:33:12 And not just perplexed by stuff like this.

00:33:14 This is a 3D print of an actual vase that exists in Egypt that they found, that is, they found it in tombs of the Old Kingdom.

00:33:25 This thing was somehow or another, it's made with diorite, so it's incredibly hard stone, and made to like a thousandth of a human hair.

00:33:34 And it's, yeah, like crazy dimensions.

00:33:38 Like the way, the precision of it, and wasn't turned on a lathe because it has handles.

00:33:44 So you look at the handles on the side.

00:33:44 Yeah.

00:33:45 Well, you can't carve those.

00:33:47 And those are perfect, too.

00:33:48 Like the alignment of everything.

00:33:50 And it's like you just look at it.

00:33:51 Oh, it's a vase.

00:33:52 No big deal. 0.99

00:33:53 But no, it's kind of fucking crazy. 0.97

00:33:55 Like, how did they cut that out? 0.94

00:33:57 There's also these.

00:33:59 There's all these core marks in some of the stones that they find in Egypt.

00:34:04 And they've analyzed the amount of revolutions per minute that you would have to go through to be able to cut through something and leave these lines.

00:34:12 And it defies explanation.

00:34:14 Like, what is this?

00:34:16 This is crazy.

00:34:16 This is not.

00:34:17 Sand and copper, and just rubbing things.

00:34:20 No, this is some insane technology that we don't understand.

00:34:25 There's scoop marks out of the bottoms of some of these stones. 0.99

00:34:28 It's like, what the fuck is this? 0.98

00:34:30 How'd you scoop rock? 0.99

00:34:32 It looks like ice cream.

00:34:34 They just went, whoop.

00:34:36 What are they doing?

00:34:38 There's so many questions.

00:34:39 What tools did they even have to do all these things?

00:34:41 They had copper.

00:34:43 I mean, there's some evidence that they had some iron.

00:34:46 And then I think Tutankhamun had a dagger that was actually made from meteorite.

00:34:50 Which is interesting.

00:34:51 You know, like when they could find meteorites and make things out of them was very valuable, obviously.

00:34:57 But just the sheer volume of work that they did there, it's like you look at the Temple in Man, you look at the three major pyramids, you look at all the different temples and all the construction, and the older you go, the deeper into the sand they go, the more complex these things are, which is even weirder.

00:35:19 So it seems like civilization after civilization, there was probably a rise and fall with their technology as well.

00:35:26 Absolutely.

00:35:27 I think it's just incredible that none of this knowledge was properly documented ever.

00:35:33 And it's a whole line of work to just go understand how to even rebuild these things, leave alone how they built it.

00:35:40 Well, think about what we're doing, right?

00:35:42 So all of our knowledge is essentially stored on hard drives and paper.

00:35:46 Those are the two things that are going to deteriorate the quickest.

00:35:51 Maybe we should take a dump of the internet and put it on a rock, go preserve it somewhere so that even if our civilization is wiped out and all the data centers are gone or whatever.

00:36:02 Right.

00:36:03 Whoever comes next can go figure it out.

00:36:06 Well, I mean, then you've got to always assume that even if they found a hard drive, that they would, like, how long would it take for them to back engineer what we did and figure out what these ones and zeros actually mean?

00:36:19 Yeah.

00:36:21 Which is one of the most bizarre and fantastic accomplishments of modern civilization.

00:36:27 Like, this is a terabyte.

00:36:27 Yeah.

00:36:30 Which is nuts.

00:36:30 Yeah.

00:36:31 Yeah.

00:36:32 Like, I don't know what your first computer had.

00:36:35 I don't remember.

00:36:36 Definitely not even a gigabyte, probably.

00:36:38 No!

00:36:39 Like a few hundred megabytes was your hard drive.

00:36:42 Yeah.

00:36:43 Yeah, I mean, I remember when they first came out with gigabytes.

00:36:46 I was like, this is nuts.

00:36:47 Yeah.

00:36:48 You remember when Gmail launched and gave everybody free email storage, unlimited email storage, and the bottom sliding bar would just keep increasing in terms of the total allowed size?

00:36:58 Yeah.

00:36:58 And that was nuts to me.

00:37:00 Yeah.

00:37:01 And I think, yeah, we take it for granted that we have infinite RAM and infinite hard disks.

00:37:07 Nobody has to worry about, like, you know, back in those days, you'd worry about, like, taking too many photos on your phone.

00:37:12 Right.

00:37:13 Right.

00:37:14 And then you'd have to go delete all the old ones or bad ones.

00:37:16 Yeah, you'd run out of storage on your phone.

00:37:18 Yeah.

00:37:18 And then you'd have to buy, like, an external hard drive to keep storing things.

00:37:22 Yeah.

00:37:22 You'd keep transferring stuff from your phone to the hard disk.

00:37:25 I remember the old Android phones, you'd get an SD card.

00:37:28 Yeah.

00:37:28 You could slip one of those in there and you could store images on that.

00:37:32 So you could save space.

00:37:32 Yeah.

00:37:34 Yeah.

00:37:35 And all that stuff is so vulnerable.

00:37:37 It's so vulnerable.

00:37:38 And, Again, if a completely alien society had to come down and find our hard drives and they went a totally different path of technology, they'd have to back engineer, reverse engineer everything that we did, try to figure out what are we using, what operating system, how's the operating system work?

00:37:58 Is it Unix?

00:37:59 Is it Linux?

00:38:00 How do they do it?

00:38:00 What is it?

00:38:02 It would be a nightmare.

00:38:03 They would need an advanced AI to figure it all out for them.

00:38:06 Right.

00:38:07 Yeah.

00:38:08 And so that's just if the hard drives survive.

00:38:12 So, if there's some massive flood, cataclysm, whatever, some horrific thing that damages all of our electronics, which is totally possible, just some solar flare, some intense.

00:38:25 Or just another lab leak.

00:38:28 Right?

00:38:28 Yeah.

00:38:29 Just time.

00:38:30 A lab leak in time.

00:38:31 Yeah.

00:38:32 Yeah.

00:38:33 It's nuts.

00:38:35 We could go back to zero real quick, and we would basically be like preppers and hunting around.

00:38:40 It would be hard to reverse engineer everything again.

00:38:42 It would be almost impossible.

00:38:44 Yeah.

00:38:44 Which is why I'm really fascinated by the flood, the post flood timeline.

00:38:49 Because if these people like Graham Hancock and a lot of these other folks that have speculated that there was probably a very advanced civilization that went in a completely different direction many thousands of years ago, if you look at the emergence of Sumer and Mesopotamia and that area, which a lot of people attribute to be the earliest known civilization, that's around 5,000 plus, 6,000 years ago, right?

00:39:16 Yeah, roughly.

00:39:17 So the flood's like 11,000 years ago.

00:39:20 Plus, so you're looking at like 5,000 years of what?

00:39:25 It's not even that long in the grand scheme of things.

00:39:27 No, not to the earth, but for people. 0.94

00:39:29 Yeah, pretty fucking long. 0.76

00:39:30 Exactly. 0.99

00:39:31 Like, think of how long it took us to get our shit together. 0.99

00:39:33 It took thousands and thousands and thousands of years of people probably being monsters, just being the worst of the worst. 1.00

00:39:33 Yeah. 1.00

00:39:42 And that's probably the only way they survived.

00:39:42 Yeah.

00:39:44 There's probably a lot of cannibalism.

00:39:45 There's a lot of murder.

00:39:45 Yeah.

00:39:47 There was a lot of like horrific shit going on for, 5,000 years until people slowly but surely figured out agriculture again. 0.98

00:39:54 Started building walls. 0.99

00:39:54 Yeah. 0.99

00:39:56 Everybody relaxed a little.

00:39:58 Got some solid weapons to keep people away so you could work on math.

00:40:02 And then, next thing you know, civilization emerges again and it goes right back onto this cycle.

00:40:08 And then you start reading in the Rig Veda about stuff that happened thousands of years. 0.99

00:40:12 You go, what the fuck is this? 0.98

00:40:14 Like, what happened? 1.00

00:40:15 Yeah.

00:40:15 And that's my belief.

00:40:18 Yeah.

00:40:18 I think there was something going on on earth.

00:40:21 Many, many, many thousands of years before established beginnings of history.

00:40:26 That was very bizarre.

00:40:28 And probably technology that went in a completely different direction than what we're doing now with combustion engines and circuits and all the different things that we use.

00:40:38 They probably figured out some other kind of technology.

00:40:41 Exactly.

00:40:42 Which is totally possible.

00:40:44 And it's amazing.

00:40:45 It's amazing to think of what if we could rediscover all of that again?

00:40:49 Yes.

00:40:50 Well, I would love to be able to.

00:40:51 I would love to just.

00:40:53 If I could choose one window in time to go back to see what it would look like, I would 100% pick ancient Egypt while they're building the pyramids. 0.98

00:41:03 Show me what the fuck was going on. 0.97

00:41:07 Just put me in a big hamster wheel, there's a big plastic bubble where no one could see me. 0.99

00:41:12 Just let me violate space and time and exist there for just a few minutes.

00:41:16 Just let me look.

00:41:17 I think that would be the most insane thing that you could see about humans and human history.

00:41:23 I just want to know what they knew, what they had, what they used.

00:41:23 Yeah.

00:41:27 This is what this thing Petra's same time period, at least attributed to 7,000 roughly BC.

00:41:34 Jesus.

00:41:35 And they, you know, how would you do that?

00:41:38 How?

00:41:38 Right.

00:41:39 The details of all those carvings is just insane.

00:41:42 Insane.

00:41:43 Yeah.

00:41:44 And in 7,000 BC, what are the tools?

00:41:48 What the hell were you using? 0.99

00:41:50 How did you make a temple out of the side of a fucking mountain? 1.00

00:41:53 Look at the size of it, man. 1.00

00:41:56 The size of those columns.

00:41:58 It would be hard to do anything like this even today.

00:42:01 It would be incredibly difficult, insanely time consuming.

00:42:06 Yeah, the Kalyasa temple, by the way, I don't have it up right now, but in 1650 or so, someone sent a thousand people to try to destroy it.

00:42:14 And after three years of doing nothing, they stopped.

00:42:17 They barely made a dent on a couple statues. 0.94

00:42:20 Yeah, a lot of times when invasions happen in India, they tried really hard to fuck it up and couldn't. 0.99

00:42:26 It's crazy. 1.00

00:42:26 Oh, wow. 1.00

00:42:28 That's very robust.

00:42:34 That's a great way to describe it.

00:42:35 It's just, there's so much of that stuff that's so interesting because it's so undeniable.

00:42:43 It's so undeniable in its scale, so undeniable in its complexity, and the planning and the understanding that you had to have a deep knowledge of geometry, of measurement, of materials.

00:42:57 Materials.

00:42:58 Yes.

00:42:59 Everything.

00:43:00 Sturdiness, resist calamities, earthquakes, floods.

00:43:05 What tools are you using?

00:43:08 How are you doing this?

00:43:09 How are you coordinating all these people and getting them to do stuff?

00:43:14 I mean, sure, conditions must have been way harsher.

00:43:17 I'm sure people didn't really have a choice but to do these things because back in those days, the only way you could take care of your food and clothing and shelter is you commit yourself as a laborer to the state, to the kingdom.

00:43:31 But you could also ask what gave them the initiative or drive to go do these things?

00:43:37 Well, that description is perhaps of a later time.

00:43:37 Yeah.

00:43:41 We don't even really know what civilization was like when these were constructed.

00:43:45 The real problem is the material science.

00:43:49 The real problem is, like, you there's a lot of things that you have to have to make those things.

00:43:54 It's not as simple as a sculpture, like Michelangelo making a sculpture out of something that's like fairly easy to carve into as far as stone goes.

00:44:03 You know, this is the scale is it's so undeniable that, like, something, something, some piece of our understanding is missing.

00:44:13 Yeah.

00:44:14 Yeah.

00:44:15 I mean, it, it, it, oh, like, looking at all this, like, everyone should just be like a lot more humble, right?

00:44:20 Like, Like, yeah, we don't actually know that much.

00:44:23 Like, what we know is like so little, like, whatever, like, the same thing as what Socrates said.

00:44:28 What we know is very, very little.

00:44:31 And the only thing we should all strive to be is just be curious.

00:44:34 And I think there's a lot of tendency for people to like think, Oh, like, we have all this advanced technology, we're so amazing.

00:44:41 Like, look at us.

00:44:42 And it's like, Wait, hold on.

00:44:44 Like, you don't even understand what happened thousands of years ago.

00:44:47 And there's so much out there to just go and explore and learn and like.

00:44:52 Get better at understanding more.

00:44:54 What is this place this is?

00:44:56 Yeah, this is unreal.

00:44:58 This is called the Elora Caves, Timeless Wonder carved in stone.

00:45:02 They're on.

00:45:03 I think it's all like kind of the same area.

00:45:04 Yeah it's, it's the same Elora Cave and the Shiva Temple that you saw.

00:45:08 Look at that, my god.

00:45:11 Look at this stuff.

00:45:12 It's insane.

00:45:15 And again, there's no steel back then it's actually really symmetrical, it's.

00:45:20 It's not even like uh in, can you go back to the first one with the symmetrical top?

00:45:26 Yeah.

00:45:27 Look at the symmetry of the top.

00:45:30 It's nuts.

00:45:31 It looks like that mall in New York they made where the world transfers.

00:45:37 Yeah, but way more robust.

00:45:41 I mean, how?

00:45:43 What were they using?

00:45:45 This is the thing.

00:45:46 It's like the material science aspect of it.

00:45:48 Yeah.

00:45:49 It's like you don't have the ability to do.

00:45:52 Look at that top one.

00:45:53 Go to that top one again.

00:45:54 The one that you just had, Jamie?

00:45:56 Yeah, that one.

00:45:57 Look at that.

00:45:58 That's crazy, man.

00:46:00 I mean, I am just blown away when I see stuff like that.

00:46:04 My mind just starts racing.

00:46:06 And I just think, how did you do this?

00:46:09 Who was involved?

00:46:11 How was it planned?

00:46:12 How was it so symmetrical?

00:46:14 What were the tools?

00:46:16 Like, what were the tools, man?

00:46:18 Yeah.

00:46:18 If you don't have steel, you don't have.

00:46:21 What are you using?

00:46:22 How'd you do that?

00:46:23 I mean, most of it is done with stone, clearly, right?

00:46:26 I guess.

00:46:28 I guess.

00:46:29 I doubt it.

00:46:30 I bet they had something else.

00:46:32 I bet they had something else that over time eroded just like metal would today.

00:46:37 I mean, if you left a shovel outside today and you came back to that same spot 500 years from now, there's nothing.

00:46:45 That shovel's gone, right?

00:46:47 Yeah. 0.96

00:46:47 And you've got to assume that these many thousand year old temples that were carved out of a fucking mountain, whatever tools they used, probably got absorbed by the earth. 0.96

00:46:58 And the only thing that's remaining, yeah. 0.92

00:47:00 It's giving me a weird thought.

00:47:00 Like when they make a big building downtown, though, they only bring the crane in for a temporary period of time.

00:47:05 And there's only so many cranes on the planet currently, too.

00:47:07 So, right, true.

00:47:09 You take it, you move it, you go take it to the next spot.

00:47:12 Yep, yeah, true.

00:47:14 Yeah, especially something like this.

00:47:14 Yeah, I don't know.

00:47:16 Like, if they had heavy equipment and machinery and whatever the fuck they were using, they probably moved it and then moved it out, and then it probably rotted away.

00:47:24 And now it's gone.

00:47:25 If there was machinery, if there wasn't, like, there must have been something else, some other kind of like some technology that we haven't even imagined.

00:47:34 Yeah.

00:47:37 But it's like their commitment to art, too, was so fascinating because these aren't just structures, they're fashion projects.

00:47:46 Yeah, intensely beautiful, yeah, intensely ornate.

00:47:49 Yeah, so it's not just that they wanted to build like a functional structure, yeah, that good architecture.

00:47:56 No, it's this, it's a fascinating artwork and it's so intricate.

00:48:02 There's so many different features and so many different images of different people and beings and animals and.

00:48:09 Elephants and there's one more temple like you could pull out, it's called the Tanjar Temple.

00:48:15 Oh, I've seen that one too, yeah, yeah.

00:48:17 That was done more recently in the age of the Cholas, and um, it's um, it's pretty incredible. 1.00

00:48:23 When did they do that one? 1.00

00:48:24 Um, I don't know the exact number, but more recent than the ones that you saw. 0.99

00:48:29 All of them are nuts, man. 0.85

00:48:30 And then there's stuff like that all over the world. 0.99

00:48:33 Whoa, this was done as a project by the king, um, to basically make a name for himself.

00:48:41 Wow.

00:48:42 That's incredible.

00:48:45 Is that multiple pieces of stone, or did you carve that whole thing out of stone, too?

00:48:50 Probably multiple pieces.

00:48:52 So that's actually like construction.

00:48:55 Yeah.

00:48:55 Not like removal.

00:48:58 The other ones are, it's essentially a giant sculpture.

00:49:04 Wow, it's so pretty.

00:49:06 Look how geometric it is, too.

00:49:07 Yeah, that's what amazes me.

00:49:09 Like, they didn't actually have all these simulations and CAD tools and all these things.

00:49:13 Right.

00:49:14 And, uh,.

00:49:15 What year was this made, Jamie?

00:49:17 Does it say?

00:49:19 It's just so incredible how much of this stuff exists where it's really baffling.

00:49:24 Like, I just found out recently that the Aztecs didn't build those temples, they found them.

00:49:31 Really?

00:49:32 Yeah.

00:49:32 They found, like, Tenochtitlan.

00:49:35 They call it the place where the gods were born.

00:49:38 The Aztecs found it and uncovered it.

00:49:40 And then on the.

00:49:43 Is it Tenochtitlan or.

00:49:43 When.

00:49:46 Teotihuacan, whichever one it was, on the consecration day when they were done with whatever they were doing with it to celebrate, they killed somewhere between 20,000 and 80,000 people in four days. 0.99

00:50:01 Damn. 0.99

00:50:03 Not exactly the mindset of the type of people that would construct something like that. 0.99

00:50:06 So those are the people that found it and it might have been sitting there for a thousand years.

00:50:11 And then they came along and said, oh, this is cool.

00:50:14 Let's live here.

00:50:15 Okay, but what was the society?

00:50:17 That lived there before them, and where are they, and what happened, and how'd they do this, and why'd they do it, and why did they have it aligned with the constellations?

00:50:25 Like, what were they doing?

00:50:27 Yeah.

00:50:30 Some of the calculations are pretty amazing.

00:50:32 Like how they timed it, how they positioned it, how they cared about planetary positions and stuff like that.

00:50:40 Sure, like some of it could even be pseudoscience, but whatever.

00:50:43 I think just the level of calculations they were making back in those days without powerful computers is just outstanding.

00:50:51 It's just nuts.

00:50:52 And it doesn't make sense.

00:50:54 It's like, okay, they're making it without powerful computers.

00:50:56 So what are they using?

00:50:59 I mean, at one point, the word computer just meant a human.

00:51:02 Right.

00:51:02 Like human beings would be doing the calculations.

00:51:05 That was their only job, like to literally multiply two numbers.

00:51:09 Or like to make some.

00:51:11 Astronomers were actually the first mathematicians.

00:51:14 The term mathematician and astronomer were used synonymously at one point.

00:51:17 Really?

00:51:18 Yeah.

00:51:20 Why is that?

00:51:21 Why studying the stars and math?

00:51:24 Yeah, because like studying the stars involved making a lot of geometry calculations.

00:51:29 And that was kind of actually one of the first set of mathematicians in India.

00:51:34 People like Aryabhatta, Bhaskara, all these guys were actually astronomers too.

00:51:40 They were not just mathematicians.

00:51:43 And Aryabhatta was earlier still like the idea of using zeros.

00:51:47 And then he had a lot of like contributions in geometry.

00:51:52 And he was doing all this like just because he was interested in astronomy.

00:51:58 Isn't there.

00:51:59 Evidence of Pythagorean theorem in ancient Sumerian?

00:52:07 Is it?

00:52:08 It's something that predates Pythagoras.

00:52:13 Interesting.

00:52:14 My theory is that even though it was not formulated as a Pythagorean theorem, I'm sure people had to understand concepts of sines and cosines and whatever is the right angle for the right incline to get this right level of geometry.

00:52:29 You needed to have some implicit understanding of.

00:52:32 To build these kind of structures, there's no way you could do it without that.

00:52:35 Yeah, 100%.

00:52:36 And you have to have incredible measurement tools, like not just the actual mathematics.

00:52:42 Okay, the oldest known evidence of Pythagorean theorem dates from old Babylonian clay tablets from about 1900 to 1600 BCE, roughly 1,000 years before Pythagoras.

00:52:53 Isn't that wild?

00:52:55 Like, how?

00:52:57 How?

00:52:58 Clay tablets often cited use what we now call the Pythagorean theorem to compute the diagonal.

00:53:06 Of rectangles and squares, including an excellent approximation.

00:53:12 This is nuts, man.

00:53:12 Look at this.

00:53:15 Vedic ritual texts explicitly states the rule equivalent.

00:53:18 I don't know how to say that.

00:53:19 What is that?

00:53:20 A squared, B squared, C squared.

00:53:23 For the diagonal of a rectangle that includes numerical examples predating or roughly contemporary with classical Greek mathematics.

00:53:30 So completely different parts of the world.

00:53:33 Yeah.

00:53:33 And they're coming up with the same stuff.

00:53:35 Exactly.

00:53:36 Because they're all curious, that's it.

00:53:38 Yeah, they're all curious, and eventually, all curiosity leads to truth or some form of it.

00:53:44 I would argue that anything that's of impact in the world has only been done by curious people.

00:53:49 In hindsight, we label those people as successful, as smart, or rich, but the common trait across all of them has been curious.

00:53:59 Well, that's certainly a powerful trait.

00:54:02 And people that aren't curious are not fun.

00:54:05 Yeah, they are interesting, so because of that, they don't attract other smart or interesting people.

00:54:11 And therefore, they won't be able to do something very meaningful in the world.

00:54:15 So it's kind of like it's less about, and it applies to your personal relationships and personal life too.

00:54:23 It's not just about professional success.

00:54:26 Like, you'll have a more fulfilling life with your wife or your kids if you're a more curious person.

00:54:31 You ask them more questions, you take interest in them, right?

00:54:35 So, that's the one quality everybody wants in personal relationships taking interest in them and actually understanding them better or being curious about common things.

00:54:45 And so, it's not just that being curious leads to success, it's more that people around you want you to be successful if you're curious, because you will have more compounding and fulfilling relationships.

00:54:58 I would agree with that.

00:54:59 Yeah.

00:55:00 I'd say it's one of the more important qualities of human beings.

00:55:04 I mean, it's led to everything that we have today.

00:55:06 All curiosity has led to all of our architecture, math, everything, art, everything.

00:55:11 The transistor.

00:55:12 Like, you know the story of the transistor?

00:55:14 Yeah.

00:55:15 So, Bell Labs was basically employing as many, like, history adjusted as many telephone engineers back then as the number of software engineers today.

00:55:24 But only three people cared enough to question whether you should use these really hot, giant vacuum tubes for amplifying telephone signals.

00:55:33 So, vacuum tubes are very big, power hungry, and very hot, and so they were not fault tolerant, and it's very expensive.

00:55:41 And so, three people questioned the need for that and came up with the idea of the transistor to amplify current.

00:55:48 And that was the Nobel Prize winning discovery, and not just that it was useful to amplify telephone signals, it basically led to the rise of modern computing, and we wouldn't have an iPhone like this today if not for those three people.

00:56:01 Do you know what the tinfoil hat conspiracy theory about transistors is?

00:56:04 No.

00:56:05 That they are back engineered from the Roswell crash along with fiber optics.

00:56:12 Tell me more.

00:56:13 So, we read this on the podcast.

00:56:15 Remember, Jamie, there's the two scientists that were attributed.

00:56:18 There's this one scientist that said they weren't even remotely exceptional guys and that they gave them the credit for this so that they didn't have to reveal the true nature of where this technology came from.

00:56:30 Interesting.

00:56:30 I see.

00:56:31 So, again, tinfoil hat securely on our heads.

00:56:36 This is not something I believe.

00:56:37 This is just something that's fun.

00:56:37 Okay.

00:56:39 Um, There's a few inventions that came out of that time period, roughly after 1947, that are weird.

00:56:48 And one of them is fiber optics, and one of them is a transistor.

00:56:51 And these are supposedly attributed to back engineering programs.

00:56:56 So the Roswell crash, I don't know if you ever paid any attention to it, it's a real weird one because the cover of the Roswell Daily Record said that the government has a crash disk that landed in the desert.

00:57:08 A bunch of witnesses, a bunch of people saw it.

00:57:11 It's also people that saw, supposedly saw physical bodies of these creatures and supposedly, again, who knows what's true.

00:57:22 But Truman went to the site, he visited it, and then the planes, two separate planes, were flown to Wright Patterson Air Force Base, which was, I think it was just Wright Base back then.

00:57:35 I don't think it was Wright Patterson.

00:57:36 But they flew them out, and the idea was this.

00:57:41 Was so important, they didn't want to risk one plane crashing.

00:57:45 So they flew it in two different planes.

00:57:47 And that this stuff has always been known to be stored at Wright Patterson Air Force Base.

00:57:52 That's what everybody always talks about.

00:57:54 And then a lot of it was moved to Bell Labs.

00:57:58 And there was a company called the American Computer Company.

00:58:02 And back in the day, the American Computer Company was just like it was a consumer website where you could go and say, Oh, I need a Windows computer that does this, that, and the other thing.

00:58:12 And you could just Put in whatever your specs were and they would build it for you.

00:58:15 They had a whole section of their website dedicated to Bell Labs and back engineered UFO technology. 0.99

00:58:23 And all they talked about, and this one, like whoever ran it was like a fucking kook. 0.90

00:58:27 Is that still around? 0.98

00:58:28 That website?

00:58:29 Yeah.

00:58:30 American Computer Company, is it still around?

00:58:32 So this is like the 1990s, I think.

00:58:32 Interesting.

00:58:34 So you're saying your theory, I mean, not that you believe in it, but your theory is that the transistor was not like invented, it was known and it was given to the.

00:58:43 There's apparently a giant leap.

00:58:45 Between the first ideas of the transistor and then what actually came about and how much money had to be spent to create it off of this leap.

00:58:54 This was this assertion by these scientists that were trying to examine this.

00:59:00 The thing about Bell Labs is there's a military base right outside of Bell Labs.

00:59:06 And they say, well, that military base is to guard New York City.

00:59:08 But New York City is quite a flight away, but Bell Labs is right there. 0.99

00:59:13 And they were working on some deep, dark shit at Bell Labs for sure. 0.94

00:59:18 Because I've had a bunch of people on that were talking about remote viewing exercises that they were doing out of Bell Labs. 0.98

00:59:24 You know, we've had a bunch of people that came on and talked about various programs that were going on that were like top secret programs that were happening that were being run through Bell Labs.

00:59:34 There's some weirdness to that place, like real weirdness.

00:59:37 Interesting.

00:59:37 Yeah.

00:59:38 And it's fun.

00:59:39 Yeah.

00:59:39 The idea that, like, you know, that.

00:59:42 Because it definitely feels very disconnected.

00:59:45 Like, okay, like you were using all these vacuum tubes.

00:59:50 And then suddenly you're like, okay, like what if we just use semiconductors?

00:59:54 Okay, that there's definitely a pretty far drift from what you're doing currently to what you're supposed to do.

01:00:04 And also, the idea of the first transistor and what ended up being used in chips, the junction transistor, are quite different too.

01:00:12 So, there are like big leaps in terms of what the core idea was.

01:00:15 It's not an incremental change.

01:00:18 The way I thought about it was like, okay, that's like tens of years of work.

01:00:22 And that's why they made a big change.

01:00:25 And so, if you actually looked into the individual milestones they had, maybe it would have looked pretty different.

01:00:30 But your conspiracy theory is pretty interesting.

01:00:34 It's always fun.

01:00:35 Yeah.

01:00:36 And also, there's just too many stories of this.

01:00:39 And David Grush has, you know, on oath said that there are back engineering programs and he was read into these and that they've been around for a long time.

01:00:47 But this is the assertion of that movie, The Age of Disclosure, that the real problem is.

01:00:52 That they have misappropriated funds and lied to Congress.

01:00:55 And so they come out and tell you, okay, we do have this program.

01:00:58 Well, guess what? 0.97

01:00:59 Everybody goes to jail because you guys are a bunch of liars and you've been stealing money and you've been doing it whatever you want to do with this money. 0.96

01:01:06 I don't know how much oversight is there on back engineering UFO programs. 0.86

01:01:13 So probably a lot of people get in trouble.

01:01:15 A lot of people go to jail.

01:01:16 On top of that, these things are all being done by weapons manufacturers, right?

01:01:22 Like, where are you going to?

01:01:23 Bring them to?

01:01:24 Well, you're going to bring them to Lockheed Martin or you're going to bring them to, you know, Rocketdyne or it's going to be someone that does that kind of work.

01:01:31 Yeah.

01:01:31 You're not going to do it on your own.

01:01:32 It's not going to be like, we'll do it.

01:01:34 No, you're going to have to bring it to people that already make spaceships or bring it to people that already make jets.

01:01:38 Yeah.

01:01:39 And so they have a massive competitive advantage over any other company that's doing it.

01:01:44 So then there's other companies that also had contracts with the United States government they can sue.

01:01:47 And so he lays out all the problems with disclosure.

01:01:51 And their assertion is that.

01:01:55 The only thing we need, if we really want to find out the truth, is we're going to need widespread amnesty for all these people that were involved.

01:02:03 My problem with that is that's what I would say too.

01:02:06 If I had been stealing money for decades and decades, I'd be like, we need amnesty.

01:02:12 And then I'll tell you where all this stuff is.

01:02:13 I'm like, how do we know what this stuff is?

01:02:18 Whether or not these are just top secret military programs with advanced propulsion technology that's unavailable to the public, and they're going to say that it's aliens, and they back engineered this, and they did that.

01:02:28 They clearly don't want to tell people.

01:02:30 They don't want people to know.

01:02:31 I think a large part of it is probably because they could get in trouble.

01:02:35 But I think also a large part of it is because it's fun to keep secrets from people.

01:02:39 Yeah.

01:02:40 Especially when you're the government. 1.00

01:02:42 Fuck those people. 1.00

01:02:42 Why tell them? 1.00

01:02:43 Fuck them. 1.00

01:02:43 Yeah. 1.00

01:02:44 They don't even know UFOs are real.

01:02:46 Meanwhile, you know, we're going into a bunker in the middle of the mountain and we're remote viewing.

01:02:51 You know, it's probably, there's probably a lot of fun involved in having access to information that most people would kill for.

01:02:59 Yeah.

01:03:00 I mean, there's so much information that we just don't have access to.

01:03:05 Which brings me to this question.

01:03:08 With, it seems like one of the things that's happening with both AI and with technology in general is that you have more and more access to information.

01:03:19 And more and more answers to questions than ever before.

01:03:23 At a certain point in time, there's going to be no bottleneck.

01:03:27 And we're going to know everything about everything.

01:03:29 So, how is anyone in government going to keep a secret?

01:03:33 How is any corruption ever going to be possible?

01:03:37 At a certain point in time, all of it will get uncovered.

01:03:40 It's much more difficult to commit murder now with DNA evidence.

01:03:44 Back in the 1800s, I didn't see nothing.

01:03:47 I wasn't there.

01:03:48 And then you're free.

01:03:49 Now, They do your fingerprints now.

01:03:52 They get your DNA.

01:03:53 Now there's flock cameras.

01:03:54 There's like more and more and more.

01:03:57 It's harder to get away with things.

01:03:58 Yeah.

01:03:59 So it seems like to me, like whatever they have, whatever anybody has, ultimately there's going to come a point in time where there's so much data and so much information, and you could run all your questions.

01:04:10 Like there's an AI fact checker for politicians now. 1.00

01:04:13 So while a politician is giving a speech, you can run an AI fact checker, and in real time, it will tell you whether or not these people are full of shit. 1.00

01:04:13 Yeah. 1.00

01:04:21 It seems like the direction is there's not going to be anybody full of shit in the future because it's not going to be possible. 0.97

01:04:26 Yeah. 0.97

01:04:27 I mean, the government still would have access to things that we human beings wouldn't have access to, like regular people.

01:04:35 And particularly defense related, weapons related.

01:04:40 Like, for example, when they did the Venezuelan thing, I don't think people in Venezuela even understood what those weapons were.

01:04:51 Well, I don't think we did.

01:04:52 They described us like, yeah.

01:04:54 They were described as something, the literal words used were like alien like technology.

01:04:59 So even we didn't know that the United States had access to that quality of defense technology until that incident happened.

01:05:09 So there are obviously going to be secrets, right?

01:05:13 Especially the highest stakes things.

01:05:16 I would say like building frontier AI models is similar to that.

01:05:20 Of course, as more and more models are getting open source, I think the knowledge is diffusing.

01:05:26 But still, the true amount of details you need to actually train a really amazing frontier reasoning capability model is still not widely diffused.

01:05:37 So, my hypothesis is that whatever is extremely high stakes will still not be widely diffused.

01:05:49 At least there'll be enough structures in place to keep it secret.

01:05:53 Forever?

01:05:54 Not forever, but for a while.

01:05:56 Yeah.

01:05:56 For a while.

01:05:57 That's the thing.

01:05:58 Long term, sure.

01:05:59 Things do get out and people do understand.

01:06:01 It feels like long term is what I'm looking at.

01:06:03 Like, look, when we're looking at history, we're talking in these, like, when we're looking at all these different temples and all these different things, we're talking about thousands and thousands of years.

01:06:13 And thousands of years of time span in between each individual one.

01:06:17 With our world, we're talking about massive change in 200 years.

01:06:22 Like this country's 250 years old.

01:06:24 Think about how kooky that is.

01:06:26 That is a blink of an eye in history.

01:06:28 But do we understand everything that happened in the United States?

01:06:31 Exactly.

01:06:31 So there are still some details that are hidden from us.

01:06:31 No.

01:06:35 We don't fully understand everything, right?

01:06:37 For now.

01:06:38 But my question is as time goes on, 250 years from now, isn't it even possible to keep any secrets from anybody?

01:06:49 And is that a good thing?

01:06:51 It might be a good thing.

01:06:52 It sounds horrible to people because they're like, oh my God, what about privacy?

01:06:56 Right, but also, what about lies?

01:06:58 Yeah.

01:06:58 No more lies?

01:06:59 Like, everyone's going to know what you're thinking?

01:07:01 Everyone's going to know everything people do all the time?

01:07:05 Yeah.

01:07:06 I mean, if you're a true surveillance state, obviously there are no secrets.

01:07:10 Right.

01:07:12 Except about the government itself.

01:07:14 That's the problem.

01:07:15 Yeah.

01:07:15 Does it bottleneck with the government or does it get to a point where there is?

01:07:20 You can't even have government secrets because as technology evolves and as human civilization evolves, secrets will be less and less, not just necessary, but secrets will be problematic because they'll be an impediment to knowledge.

01:07:33 They'll be an impediment to understanding the true scope of what the world is, like the true nature of all of our various moving parts.

01:07:41 Yeah.

01:07:42 As long as the human quality, the intrinsic human quality of curiosity and truth seekingness, which is universal, it's existed ever since we've known human beings.

01:07:52 If that continues and that continues to be the case, then people will have enough incentives to figure out the truth.

01:07:59 Yeah.

01:08:00 And if something is actually hard to get to, it only motivates you more to actually go and find it.

01:08:06 For sure.

01:08:07 So, my question is where does this all go?

01:08:10 You know, and you obviously work in AI.

01:08:13 And when you think about AI and when you think about just technology in general and you extrapolate, you just take it from here and you just plot it out.

01:08:21 Like, what is a possible scenario of 250 years from now?

01:08:25 Like, what does it even look like?

01:08:27 What does the United States look like at 500 years old?

01:08:30 It's very hard to know.

01:08:31 I'll be very honest.

01:08:32 I think it's very hard to know, even five years from now, how it's going to look like.

01:08:37 That's crazy.

01:08:38 Yeah.

01:08:39 Five years ago was like.

01:08:40 Five years ago, whoever is at the top most in AI, I don't even consider myself like that, but whoever is at the most frontier level of decision making in AI, five years ago, I don't think they predicted the exact state we are in today.

01:08:54 Nobody did.

01:08:55 If they did, they would have already procured all the compute and, like, You know, manufactured all the chips, bought out all the fabs, they have done all that, right?

01:09:03 Just this is counterfactual.

01:09:06 Everyone's like bottlenecked by not having enough compute, and like we don't have enough chips, we don't have enough power.

01:09:12 These are all the problems that if you invite anybody in AI and ask, what is the bottleneck in AI today?

01:09:16 And everybody would say, power.

01:09:17 I think Jensen was here and he said the same thing, right?

01:09:20 But okay, like if you predicted this exact state five years before, wouldn't you have secured enough power and started building more power plants yourself and started getting permits and like started like.

01:09:20 Yeah.

01:09:32 Planning out capacity.

01:09:33 No, nobody did that.

01:09:35 Everything is reactive to the demand that we're having today.

01:09:38 And that's just five years.

01:09:39 Yeah, that's just five years.

01:09:40 So when you ask me to predict 250 years, I just have to honestly say, I don't know.

01:09:45 Do you ever sit back and think about it, though?

01:09:47 I don't think about it.

01:09:48 I don't think about it.

01:09:48 What it could be?

01:09:49 So there are a lot of fun things.

01:09:52 I use perplexity a lot for these kinds of things, especially this new feature computer inside it.

01:10:00 And this is just for hypothetical scenarios.

01:10:03 Let's say there is an AGI, right?

01:10:05 I've seen you ask a lot of people about this, and a lot of conventional answers is like, oh, we'll just become managers of the AIs, don't worry.

01:10:16 But if the price of cognition is the price of compute, managing an AI is also pretty much doable by the AI itself because the bottleneck is not like unique cognition capability there.

01:10:31 So the value of the society will automatically shift to what is scarce.

01:10:36 And fundamentally, what has been scarce is asking high quality questions about things.

01:10:42 Okay, what if we just completely spend all our time understanding the past?

01:10:48 That's an interesting endeavor.

01:10:49 It was not cool before, but it'll become cool again.

01:10:53 And we usually used to view archaeology or history as not something that's worth having a career in because it doesn't pay well.

01:11:01 But what if it actually starts paying you well a lot more now that actual knowledge works being done by AIs and it's all mundane and all?

01:11:08 The price of that is basically zero.

01:11:10 Right, and archaeology would be one of the few things that it wouldn't have access to because it doesn't have the actual ground.

01:11:17 It can't get into the ground and do the scans. 0.96

01:11:20 No, let's say we have robots to go do that.

01:11:23 But you're still going to be the one probing because you have incomplete information all the time.

01:11:29 Even the idea of, okay, let's go explore this particular area.

01:11:33 Let's go understand better.

01:11:34 Let's go try to reverse engineer it.

01:11:36 Let's go try to build this again.

01:11:38 How would it be if we wanted to do the same thing on the moon?

01:11:41 There are so many interesting projects to work on for us.

01:11:44 As long as we stay curious and we stay interested in a lot of things that we've done before and trying to understand civilization, I'm not really concerned about what things we get to do.

01:11:55 We might be doing a lot more cool things for what it's worth.

01:11:58 I don't know if anybody will be coming and telling you that, oh, it's so cool to open an Excel sheet every day and make financial models.

01:12:07 There's got to be somebody out there that likes that.

01:12:09 There's something about the task you do and what you get paid for, what is the job title, blah, blah, blah.

01:12:15 And some people associate their.

01:12:18 Personal worth with where they work at and how much they get paid.

01:12:23 And I think that thing is going to collapse in a world where the price of all that cognition is going to be the price of compute.

01:12:31 What do you think happens to people if a large percentage of jobs get replaced by AI?

01:12:40 I think they'll find new things.

01:12:43 We've always gravitated towards things that are scarce because that's where the value lies.

01:12:49 And so, if you know, have you one interesting analogy is the Gulf states where there's an abundance of resources and they export their resources to other states and that pays for the whole state?

01:13:08 You know how like they offer everybody free electricity, subsidized health, subsidized education, and like no taxes?

01:13:16 When I first went to Dubai, like in almost like 20 years ago.

01:13:22 They told me like people don't pay taxes here and nobody pays for electricity here and education is like super cheap.

01:13:30 I was like, wait, how is that real?

01:13:34 And the way that's real is that, I mean, of course, Texas also has no taxes and any well run state can do this.

01:13:42 But the way it's happening is that because the government provides you all these things, it becomes a rentiere state.

01:13:48 Like you offer political acquiescence to the state.

01:13:52 And what ended up happening is.

01:13:55 Citizens there expect the state to find them jobs, expect the state to take care of job displacement for them.

01:14:01 So they don't worry.

01:14:02 So it made them a little more lazy.

01:14:04 So that's not a good future to have, where some people talk about AI subsidies and AI dividends that get paid to everybody.

01:14:12 I think we need to do some form of that, but that in entirety won't solve the problem.

01:14:17 Right.

01:14:17 Well, the thing about human nature is sort of undeniable.

01:14:24 And if you give people the ability to be lazy, a large percentage of people will take that.

01:14:28 That's right.

01:14:29 A large percentage won't, though.

01:14:30 Yeah.

01:14:31 There's going to be enough people that are inspired to do something and they say, okay, well, now my basic needs are taken care of.

01:14:36 Let me pursue my actual interests.

01:14:38 That's right.

01:14:39 And find purpose in that.

01:14:40 Yeah.

01:14:40 Because that's a lot of people find purpose in whatever their occupation is.

01:14:44 Yeah.

01:14:44 And if we can shift that to finding purpose in what your actual interests are and then really pursuing something, whatever it is in that, then you'll still have meaning in your life.

01:14:54 And we've just come back to that.

01:14:56 It keeps coming back to staying curious.

01:14:58 Yes.

01:14:59 And finding value and.

01:15:01 Your relationships, your family, caring for each other.

01:15:06 If you ask a lot of retired people, actually, retired people is a good demographic to understand what would happen, what are things people find meaning in after work's taken off them.

01:15:16 And the majority of the answers are always family, caring, personal relationships, and community.

01:15:25 These are the things retired people keep doing to keep themselves active and wake up every day and have something to look for.

01:15:32 So, all those things will become even more important at a time when work itself doesn't mean much.

01:15:40 Doesn't mean humans won't be status seeking.

01:15:42 I think we'll still be.

01:15:44 But status is not going to come from whether you're working at a particular famous bank or a tech company or whatever.

01:15:52 It'll be driven by how interesting you are.

01:15:56 Are you interesting to talk to?

01:15:58 When I can talk to an AI, despite that, are you still interesting to talk to?

01:16:02 Are there certain things I get out of talking to you that.

01:16:05 Completely change my perspective about a bunch of things?

01:16:09 Or is it just fun to hang around you?

01:16:12 Can we have a compounding relationship together?

01:16:14 And I think, again, it goes back to being curious about things.

01:16:18 Well, this is the best case scenario, right?

01:16:21 Worst case scenario is civilization upheaval, chaos, civil war.

01:16:27 It's possible even without an AI.

01:16:28 Right.

01:16:29 Yeah.

01:16:30 Look, we've gotten real close to it a couple of times.

01:16:31 Exactly.

01:16:32 And we did not need an AGI scenario for.

01:16:37 A civilizational collapse in the past, as you've clearly seen.

01:16:41 A calamity can just take out all of us, wipe out everything.

01:16:45 Sure, especially natural ones.

01:16:46 Yeah, that's why I'm not a big fan of everybody claiming that the AI is going to kill us or AGI is going to destroy humanity and it's too dangerous and we all need to stop doing these things.

01:16:58 But at the same time, continuing to build all these data centers and continuing to make money.

01:17:02 You have to have one consistent position.

01:17:05 My position is that whether AI or not, I think being curious is going to serve you really well.

01:17:13 I think it's going to help you have a better life.

01:17:15 And there are two paths to curiosity one that can kill it and one that can supercharge it.

01:17:21 In my opinion, the one that kills curiosity is algorithmic feeds.

01:17:25 Like the brain rot that you're fed every day with just, you know, this continuous doom scrolling that's bad.

01:17:33 And the one that can supercharge it is AI.

01:17:36 Okay, like now that you could just ask whatever you want, if everybody has like a pull it up Jamie for them, Right.

01:17:44 And that's amazing.

01:17:45 So, all you have to do is be curious about a lot of different things.

01:17:50 And of course, talk to interesting people, engage in interesting activities together.

01:17:55 If money is no longer an issue, you can fund passion projects yourself.

01:17:59 You don't have to require government funding or venture funding.

01:18:03 What if you just wanted to build a mini cave yourself?

01:18:07 You find a piece of land somewhere.

01:18:09 There's a lot of land in America, way more land than we know what to do with it.

01:18:15 And surely we can build a lot of interesting things there.

01:18:18 Well, that's a good glass half full project.

01:18:23 And one of the things that I keep coming to is this whole idea of people working and making money and having careers and having portfolios and bank accounts and all that.

01:18:23 Scenario.

01:18:35 This is all very recent in human history.

01:18:37 Yeah.

01:18:38 Very recent.

01:18:39 It's very recent.

01:18:40 But we've become accustomed to this as a way of life.

01:18:43 And we.

01:18:44 Microsoft built this concept of a knowledge worker because they wanted to sell more office software.

01:18:49 Really?

01:18:50 Yeah.

01:18:51 Like this whole idea of putting a PC on every desk and making you like glue to the PC was there.

01:18:57 That was Bill Gates' vision.

01:18:58 Put a PC on every desk. 1.00

01:18:59 That fucking wizard. 1.00

01:19:02 What an incredible accomplishment because boy did they nail it. 0.99

01:19:05 Yeah, so it was not about making computing like beautiful or anything in the way like Steve Jobs envisioned it.

01:19:11 Right.

01:19:11 It was just about like sell more computers.

01:19:13 Sell more software.

01:19:14 Sell more computers because that way you can sell more software.

01:19:18 And if you sell more software, you become rich.

01:19:21 And the company just was a machine that was just.

01:19:25 You know, built essentially a large sales machine that's built to sell software.

01:19:30 And now they sell cloud, but whatever.

01:19:33 Like that's essentially the reason that, like, you know, we all got trained to use software.

01:19:41 People went and did tutorials on how to use Excel, how to use Word, how to use all these email tools.

01:19:47 And then now that became the upskilling you needed to go work at different companies and then write code and, like, whatever, right?

01:19:54 So, if that part's going to be done by an AI, it's not necessarily a bad thing.

01:19:59 Because this is not actually the way you feel like real purpose and fulfillment in your own life.

01:20:05 If you were never exposed to that, whatever you had as the intrinsic curiosity in you, that's probably what you should be doing.

01:20:14 Yeah, there could be a completely new way to live life where we're not dependent upon labor for basic needs.

01:20:22 But then it's going to be incumbent upon people.

01:20:24 They're going to have to figure out a way to be either self starting or we're going to have to expose people.

01:20:30 To things that are going to excite their curiosity and make that a mandate.

01:20:34 Yeah.

01:20:35 It has to start from schools.

01:20:37 Yeah.

01:20:37 And as long as we keep rewarding people for having answers instead of asking interesting questions, it's going to be a difficult change.

01:20:48 Like in schools, you're always rewarded for being smart based on whether you have answers to like 20 different questions.

01:20:55 Like all those 20 questions can be answered by AIs.

01:20:55 Like who cares?

01:20:59 Have you ever like flipped the script where you say, okay, like I'm going to.

01:21:02 The smartest person in the room is the one who asks the most interesting questions.

01:21:06 Okay, like what kind of students can you cultivate based on that?

01:21:11 Like, imagine if the room had no pressure to always know the answer, but the freedom to ask a lot of questions.

01:21:18 Right, because sometimes when someone asks a question, it'll make you pause and go, I never even thought of that.

01:21:25 But that's it.

01:21:27 Like, that's the question.

01:21:28 And it takes a.

01:21:28 Yeah.

01:21:30 I mean, so many people have so many different perspectives, which is one of the more interesting things that I've.

01:21:36 Doing this podcast is, I get to talk to so many different people, and they vary so widely.

01:21:43 There's so many different ways of looking at the world and so many different ways of engaging with the world, and so many different things that people are fascinated with that they spent their entire life studying and pursuing.

01:21:54 It's like you get this rich tapestry of the human experience that's just, I would have never been exposed to this many people.

01:22:02 And in turn, I've been able to expose these people to all these other folks that are just listening and watching right now. 0.98

01:22:08 And it's fucking incredible. 0.81

01:22:11 And it's such a, for me, it's like the perfect job. 0.97

01:22:14 I've never had a job that more aligns with my own personality. 0.98

01:22:17 As much as this, because I've always been that kid, like, shut the fuck up with all the questions. 0.96

01:22:22 I've always been that kid. 0.98

01:22:23 That's the system, right?

01:22:24 It's not your fault.

01:22:26 Right.

01:22:26 Like, it's actually the reason you're successful now is the exact thing that people told you to shut up about in the past.

01:22:33 Yeah.

01:22:33 Right?

01:22:35 Hey, you know, stop bothering my lecture, you know, asking all these unrelated questions.

01:22:42 It's mainly a frustration of the teacher that they don't have the answers to you.

01:22:46 Sure.

01:22:46 Right?

01:22:47 And, and, and, um, And now that bottleneck is gone, we did this experiment with one instructor at MIT who taught the introduction to biology class, where he came and told us that he's going to give perplexity to all the kids, all the students, and they would use it as part of the lectures.

01:23:06 So instead of fighting AI, you just give AIs to everybody and let them ask whatever questions they want, and they can actually use it in the exams too.

01:23:14 So, how do you even design questions for an exam in such a world?

01:23:21 Is maybe you just encourage people to pose a question that AI can't answer right now, and that becomes your research project, and you turn everybody into a scientist.

01:23:33 Fundamentally, like, there's this belief that scientists have to go through a rigorous PhD, and like, you have to get accredited by an amazing university to be that.

01:23:42 Sure, but anyone who's curious can be a scientist.

01:23:46 The only thing that's required to be a good scientist is intellectual humility to understand that you could be wrong about things.

01:23:53 Things that everyone takes for granted, you could still question them.

01:23:57 And when you're presented with new evidence and new data, you're willing to change your mind.

01:24:02 And you're willing to operate with ambiguity and uncertainty about the world.

01:24:06 That's basically all the qualities you need to be a scientist.

01:24:10 And you can run your experiments.

01:24:11 You can gather data.

01:24:12 You can gather evidence.

01:24:13 And you can consult people.

01:24:14 You can bring in experts and talk to them.

01:24:18 And as long as you're uncovering more and more about the world, you are a scientist.

01:24:22 You don't need a PhD to feel that you're allowed to be a scientist or not.

01:24:27 And I think that's the most important quality we need to inculcate in our kids, the upcoming generation, so that they all feel more liberated.

01:24:38 Okay, like finally, I don't have to memorize this textbook or these lecture materials, and like I don't have to feel bad if I get like 12 out of 20.

01:24:46 Okay, who cares?

01:24:47 Like AI is always going to get 20 out of 20.

01:24:50 That's not what you're meant to be good at.

01:24:51 Of course, master the foundations, the basics, great, but your job is to actually pose interesting questions.

01:24:59 Yeah, and the intellectual.

01:25:00 Excuse me, intellectual humility is so important because one of the things that was really weird about the whole COVID pandemic was that we weren't supposed to question science.

01:25:10 Yeah.

01:25:11 It was like that, or when Fauci said, if you question Anthony Fauci, you are questioning science.

01:25:17 That's because they try to assign credibility through their degrees.

01:25:21 Yes.

01:25:22 Through their affiliations.

01:25:23 Yes.

01:25:23 Appeal to authority.

01:25:24 But not through the scientific method.

01:25:25 Right.

01:25:26 Anybody should be allowed to ask questions as long as they are open to new evidence.

01:25:31 Yeah.

01:25:32 And that's the most important quality of a scientist.

01:25:34 Well, the scientific method alone, I mean, it's one of the most important things that we can use to try to figure out what's real and what's not real.

01:25:42 And as soon as someone says, don't use it, don't question, well, wait a minute.

01:25:47 And then there was an actual government push to silence questioning, and legitimate researchers were kicked off of Twitter because they didn't back the narrative.

01:25:59 Like, this is all anti science.

01:26:01 This is not, you're questioning science.

01:26:04 Science demands questioning.

01:26:06 It's what it is.

01:26:07 Yeah.

01:26:08 When you don't understand something, the best thing you can do is ask all possible questions.

01:26:13 And so curbing that is almost like a way of saying, look, I'm going to tell you what happened, and you need to believe in my worldview.

01:26:13 Right.

01:26:21 And I'm not open to new perspectives.

01:26:24 I wonder if anybody has used AI to try to map out possible scenarios for where technology leads human civilization and what could be done to mitigate the problems and push it.

01:26:38 In the proper direction, like have a bunch of different models of how this could play out.

01:26:43 Yeah.

01:26:45 I mean, I try to do that for fun, but I haven't done it in a serious enough way to have a proper answer to that.

01:26:51 Right.

01:26:52 But I think, you know, a lot of things that we are doing today will not be considered needed or valuable.

01:27:03 And maybe a little bit of taking our own lessons from the past.

01:27:06 I don't know if you, when you grew up as a student, did you have to be good at mental math, like multiplying?

01:27:12 Arbitrary numbers.

01:27:13 Was that considered a sign of smartness or remembering people's phone numbers or something?

01:27:17 Well, you had to because there was, I mean, you had little address books as we used to carry around, like a little, I had a little address book that I keep on my desk.

01:27:24 It's a little tiny thing with everybody's number and name.

01:27:24 Yeah.

01:27:26 That's the only way I knew people's numbers.

01:27:29 And I remembered a bunch of them, like all my friends.

01:27:32 I don't have any of my friends' numbers remembered.

01:27:32 I had all my friends.

01:27:34 Yeah.

01:27:35 Maybe my wife and my friend Eddie.

01:27:37 I have two numbers in my head.

01:27:39 But was there a time when people thought somebody was smart based.

01:27:43 On how good their memory power was.

01:27:45 Oh, yeah, definitely.

01:27:46 But would you say that now?

01:27:49 Well, people are impressed if you know things now.

01:27:53 I have a bunch of weird information, obviously, that I've gathered through so many years of doing this podcast and just so many years of being curious. 0.98

01:28:02 Sometimes even my own daughter is like, How the fuck do you know that? 0.57

01:28:04 I'm like, This is what I do. 0.99

01:28:06 That's my thing.

01:28:08 I pay attention to stuff.

01:28:09 But yeah, I mean, memory itself is always very impressive.

01:28:14 And someone has an excellent memory.

01:28:15 Yeah.

01:28:16 And can pull up facts of the past, we automatically equate that to intelligence.

01:28:20 Yeah, I think it's impressive, but it's not necessarily a sign of being intelligent, right?

01:28:25 Like, I think that's just a look, you have a very fast lookup table in your head.

01:28:30 That's great, it's very valuable.

01:28:33 But I still think, like, being smart is all about posing the most interesting questions.

01:28:38 Also, the decisions that you make and whether or not you self correct when you make mistakes.

01:28:43 Yeah.

01:28:44 Yeah, all those things.

01:28:45 So, when you have an amplifier to your intelligence, like an AI, All the time, where lookups is essentially something you can delegate.

01:28:45 Exactly.

01:28:54 Reasoning for decision making is something you can delegate.

01:28:58 But posing the right questions to gather the right data and then forming your own judgment based on what it reasons and comes up with, and finally having the courage to make the decision, that's still you.

01:29:08 That agency, that intrinsic curiosity to ask the right question, the scientific intellectual humility to gather new evidence, always questioning your beliefs, that is still you.

01:29:20 And so I feel like that is essentially what would be considered smart in the ages to come.

01:29:26 If somebody is like a proxy scientist or whatever, no more, doesn't have to go to MIT or Harvard and get a PhD to be a scientist or to be considered a scientist.

01:29:37 Because all scientific literature is open and it's accessible to everybody.

01:29:41 And you can even take a paper written by an expert and use an AI, understand it deeply, ask a lot of questions, and maybe even disprove what they.

01:29:50 Claim to be true.

01:29:52 That's the whole peer review process, right?

01:29:55 The peer review process is all about questioning somebody's paper.

01:30:00 And that's why, like, you know, whatever you said happened in the COVID days is wrong.

01:30:05 Like, you should be allowed to ask questions about even eminent scientists' work.

01:30:12 It's okay. 0.98

01:30:12 Like, if you're dumb and you had the wrong questions, sure, you're going to learn from that. 0.98

01:30:17 It's worse than not being allowed to ask the question. 0.99

01:30:19 Yeah, agreed.

01:30:21 It's going to be interesting to see what the future of education looks like.

01:30:24 Like, how valuable are degrees when essentially AI is going to be able to do the majority of whatever work you need done on a variety of things?

01:30:33 Like, how good are they right now at just law?

01:30:40 Like, you could ask questions.

01:30:43 Pretty amazing.

01:30:43 Yeah.

01:30:44 Pretty good.

01:30:44 How good are they at mathematics?

01:30:44 Yeah.

01:30:46 Perfect.

01:30:46 Like, how good are they at coding?

01:30:48 Way better than people.

01:30:49 Yeah.

01:30:50 And at a certain point in time, it's going to be interesting that, like, what is education now?

01:30:54 Is education just providing you with information?

01:30:56 Because that information is readily available.

01:30:58 Or is education teaching you how to think, teaching you how to pursue your interests and be curious and have intellectual humility and understand what you know and what you don't know?

01:31:08 I think that's what it should be.

01:31:11 I still think institutions will preserve their brand value because there is a certain aspect of education that's outside of learning, which is just having access to other curious and intelligent people.

01:31:23 Sure.

01:31:24 Yeah.

01:31:24 And community?

01:31:25 And brands attract good communities, peer groups, blah, blah, blah.

01:31:28 But the actual process of learning itself has to change.

01:31:32 And what you're rewarded for has to change.

01:31:34 Fundamentally, everything flows downstream of the incentive.

01:31:39 So if the incentive is to score the highest on the exam based on answers, you're not really changing much.

01:31:46 You need to change that process.

01:31:48 You need to change the process of what do you reward a student?

01:31:50 Like what is A plus or A?

01:31:52 Right.

01:31:53 That's where we need to start at.

01:31:55 Let's also, we talked about this the other day that the education system in this country was designed to make workers.

01:32:02 That's what they did when they first started doing it.

01:32:02 Exactly.

01:32:04 Yeah.

01:32:05 The curriculum was designed around that.

01:32:07 Yeah. 0.97

01:32:07 Well, in India, it's still the case, by the way. 0.97

01:32:10 Really?

01:32:11 Even if you're a computer, even if you go into a computer science degree, I don't know if it's still the case.

01:32:15 I shouldn't misspeak, but at least when I was there and for many years after, the first two years, you just spent learning hardcore electrical and mechanical engineering.

01:32:23 You would learn like welding using late machines.

01:32:26 You would have to like go and like do workshops, carpentry, a lot of these things.

01:32:32 It was fun.

01:32:33 I would think there'd be a lot of value in that.

01:32:35 So, in hindsight, I actually think it was fun to learn soldering and how to make circuits on red boards and turn to circuit boards.

01:32:43 But if somebody was just interested in just writing code, let's say, back then, all this is kind of pointless to learn, but you had to go through it to be qualified as an engineer.

01:32:59 And the reason the curriculum was designed that way is because that's what the labor force was required back then.

01:33:05 To build like oil factories and like all these things.

01:33:07 So you had to learn mechanical engineering, you had to learn fluid mechanics, whatever.

01:33:11 But I think that should also change because if the way you do work changes, then what you're trained for in college should also change.

01:33:20 And it's much harder to change these things.

01:33:23 People are much slower.

01:33:25 They're scared to do changes.

01:33:26 Disruption is always looked down upon.

01:33:29 And so I think let's at least start at the incentive structure right from the schools, right from the colleges.

01:33:36 Let's not reward people based on how much they know.

01:33:39 Well, it seems like in the future, when.

01:33:42 Things do radically change, and it seems like they're inevitable.

01:33:45 They're going to radically change.

01:33:48 Universities and schools are going to be rewarded for having developed thinkers that are able to adapt to this new world.

01:33:56 Yeah.

01:33:56 That's right.

01:33:57 So they're going to have to figure out how to adjust their curriculum.

01:34:00 Yeah.

01:34:01 Because the tools are so spectacular now that just this idea of just memorizing information is not what you're going to need to get by in the future.

01:34:12 It's not.

01:34:13 And I guess like one proxy different schools use is like maybe if more entrepreneurs arise out of your school, you probably created a lot of independent thinkers because they are like willing to take a fresh perspective towards a problem and build their own thing from scratch.

01:34:31 And fundamentally, that's what America's always been about is, you know, the American dream of coming here and like having your own idea and still be taken seriously by a bunch of people.

01:34:43 The whole idea of venture capital and leagues this year are like.

01:34:45 Kick family and friends around this whole idea of just having your friends help you to bootstrap a business and then turning it into a success.

01:34:52 And success doesn't mean like multi billion or 10 billion or whatever, right?

01:34:56 Like, as long as it pays you enough that you don't have to work for somebody else and you can live a fulfilling life and you can just go explore your passions, that's success.

01:35:05 That's actually a better success than creating a company based on what other people want you to do and then hating your job for it.

01:35:13 Yeah, and having a yacht and being miserable and working every day.

01:35:17 That's why I said, like, not the smartest or the richest people are not always the ones who have the most fulfilling lives.

01:35:22 The most curious people have the most fulfilling lives because they have better relationships.

01:35:27 They're actually able to sit and look at something and, you know, be curious about it instead of like being worried about what's going on.

01:35:34 What did the American dream, what was it to you when you weren't in America?

01:35:39 Like, what is it like?

01:35:41 Like, how is it discussed?

01:35:43 Well, to me, like, I always thought America is the only country where you can come here.

01:35:50 And have an idea, and people listen to you and encourage you to go pursue it.

01:35:56 The risk seeking culture is just incredible here.

01:36:00 Everywhere else, you kind of are like either explicitly or implicitly forced to defer to authority.

01:36:06 Okay, like go and ask the permission of this person, go and ask the permission of that person, or get their approval, or get their insight.

01:36:13 Sure, you can consult everybody out there, but if you have a thought that challenges what they believe in, This country still encourages you to go pursue it.

01:36:24 And so, yes, when I came here, obviously, Google was the number one company that everybody wanted to work in.

01:36:33 But it's also the same country where it allows you, as a new person, to start a new idea that challenges one of the biggest companies in this own country.

01:36:44 And it actually wants it.

01:36:45 People actually want new ideas.

01:36:50 You can consistently see that there are always going to be more and more new ideas and new companies to be created here.

01:36:57 And so that spirit of questioning is encouraged a lot here.

01:37:03 And it happens in academic research.

01:37:05 I started off as an academic.

01:37:07 Even there, a lot of ideas when I had it and I would share it with people.

01:37:15 You know, people actually give you very honest feedback about things, but they don't stop you from working on anything.

01:37:22 And that's fantastic because that's very fresh.

01:37:25 It's very liberating.

01:37:26 And that's not anywhere else.

01:37:30 I would say it's not.

01:37:31 It's not in India.

01:37:32 It's a simplification to say it's not anywhere else, but.

01:37:36 It's not as encouraged.

01:37:37 It's not as encouraged.

01:37:38 The incentive structures are not quite there.

01:37:41 And the ability to be taken seriously for some crazy ideas is why America is still at the top.

01:37:50 But it's crazy to me that if the American dream is so compelling and so many people come here for it, why doesn't the rest of the world sort of adopt those values?

01:37:59 It's hard.

01:38:02 A lot of it is cultural.

01:38:04 America was made from a piece of land, essentially.

01:38:14 And a lot of ideas that we built here, a lot of industries that we built here, were all created here from nothing.

01:38:22 And that required you to go take bold risks.

01:38:27 I think Jeff Bezos said this in some podcast that where else would you be able to go raise a few million dollars for an idea that has 5% to 10% chance of working and then fail at it and still go and raise another few million dollars for your next idea?

01:38:46 Nowhere else.

01:38:48 People who get rich here actually want to encourage and be part of somebody else's crazy journey because it's hard to pursue all crazy bets yourself.

01:38:58 So it's an ecosystem.

01:39:01 And once something becomes an ecosystem, there's network effects.

01:39:04 So it's very hard to copy that elsewhere.

01:39:07 And so your value is measured in your curiosity and your willingness to work on whatever it is that is your pursuit.

01:39:16 And then eventually adjusting and learning.

01:39:19 Yes.

01:39:19 Catching fire with one of them.

01:39:21 Correct.

01:39:22 And you have to work hard.

01:39:23 I'm a big believer in intense hard work.

01:39:27 I think nothing great can be accomplished by being soft.

01:39:31 And so, all this recent push for having a lot of work life balance, this and that.

01:39:37 Sure, if that's what you want, then I think there are certain jobs that would give you that.

01:39:42 But when you're trying to do something from scratch, when you're trying to create something from nothing, it's not meant to be easy.

01:39:49 There are some sacrifices that have to be made.

01:39:52 You're signing up to be part of that experience, that surreal joy you get from doing something that felt almost impossible to achieve.

01:40:02 And you're not doing, you're not like staying up late or waking up early because you're getting paid more.

01:40:09 Maybe you might not get paid anything, maybe this whole thing goes to nothing, but that experience you're getting of being part of something that feels very hard to achieve is what you're signing up for to be part of.

01:40:21 Yeah, and if you're not, Find something else.

01:40:23 It's fine.

01:40:24 I respect that.

01:40:24 There's nothing wrong with that.

01:40:25 Exactly.

01:40:26 And the country has enough jobs to provide for all kinds of needs, right?

01:40:30 And everybody goes through different phases in their life.

01:40:32 Sometimes they feel a little lazy or disillusioned, okay?

01:40:36 And so what I like about this country is that there's a lot of curious people here.

01:40:42 There's so many different people, whether they use AIs or not, they're all finding meaning in so many interesting projects.

01:40:50 Well, obviously, I don't know any other country really because I was born here, but the people that.

01:40:56 Do talk to me about what the American dream is like from another country.

01:41:01 They're the most passionate and the most supportive of this idea, this experiment in self government, and just the whole idea that the country operates on that anybody can chase their dream.

01:41:16 That you can.

01:41:17 If you have a dream and you're willing to work hard, you could actually do it in this country.

01:41:20 That's right.

01:41:23 Yeah.

01:41:24 The people that are most passionate about that idea oftentimes are people that come from somewhere else where that wasn't available.

01:41:30 And it's not just like.

01:41:33 You know, people coming from one particular country or another.

01:41:36 It's the attitude, it's the way the system works and rewards you to be bold and take bets against established players.

01:41:43 It's okay, right?

01:41:44 It's okay to be an upstart, a challenger.

01:41:47 And people love that underdog.

01:41:49 And I think that's fantastic.

01:41:52 And that culture is continuing.

01:41:54 Yes, there are like multi trillion dollar companies here and they're all going to become even bigger.

01:41:58 But people still want the young, hungry person to also be successful.

01:42:05 Well, they love disruptors.

01:42:05 Yeah.

01:42:07 Yeah.

01:42:08 And people love underdogs in this country.

01:42:10 Yeah.

01:42:11 Yeah.

01:42:12 It's universal.

01:42:13 It's not specific to technology.

01:42:15 Right.

01:42:16 Like, I'm sure everybody would love an underdog story that wants to go against, like, Coca Cola or Pepsi or something, too.

01:42:21 Oh, in sports, it's our favorite thing.

01:42:21 Sure.

01:42:21 Yeah.

01:42:23 In sports, yeah.

01:42:24 We don't like when the guy who's supposed to win wins.

01:42:26 Yeah.

01:42:26 We love when the guy who's not supposed to win triumphs.

01:42:29 Yeah.

01:42:30 The underdog story.

01:42:31 Yeah.

01:42:32 That's a very uniquely American story.

01:42:35 To me, that's what this country is.

01:42:37 I mean, sure, there's a lot of obstacles and challenges.

01:42:41 Just like every other country, there are things here that are challenging, but it's one thing that has consistently stayed true.

01:42:50 One of the big fears that people in America have about technology in particular is that without being aware that this was going to take place, everybody gave up their data.

01:43:02 Everybody gave up their data and didn't recognize it was a commodity.

01:43:06 That in turn made these corporations immensely wealthy and powerful.

01:43:10 And then They have the ability to shape narratives.

01:43:14 And that concerns people because using their ideological position as leverage to try to push that through technology that has immense control and influence over people, and that we didn't see technology and corporations as having that much control over how society views itself and how we interact with each other.

01:43:40 And there's a real.

01:43:42 Real concern that these companies got so big and have so, like, there's a guy named Robert Epstein who's done a lot of work on narrated or curated search engine results and how much that can affect.

01:43:55 Have you seen any of his stuff?

01:43:57 I think I've seen this, yeah.

01:43:58 How much that can affect elections, how much that can affect people's perceptions on any societal issue that's coming up.

01:44:06 Yeah.

01:44:07 And it's concerning.

01:44:08 It really is because they do curate search results.

01:44:11 It's not simply, you know, you just run it out there and you get this is the data.

01:44:15 No, you get.

01:44:16 You know, if you look for specific political figures, depending upon where they fall in the right or left spectrum, and depending upon which way the company forms, the corporation forms, falls rather, you'll get different results. 0.98

01:44:30 And that sucks.

01:44:31 You know, that's very concerning that people don't recognize, they don't have the ability to see how that is dangerous for all of society to have that kind of power and wield it in that way where you're not being honest about accurate, objective information. 0.98

01:44:49 You're pushing.

01:44:50 Particular ideologies.

01:44:51 Yeah.

01:44:52 So, I think it's kind of like this is almost an effect of the asymmetry that exists between the amount of AI power that centralized systems and centralized companies have and the amount of AI power you as a sovereign individual have.

01:45:10 So, when you don't have the AIs to just go judge for yourself what you should be reading and fed, you're obviously under the influence of whatever big tech company is controlling the information flow.

01:45:24 But when you have access to all those AIs, you can actually just customize what you want to see by telling the AI, like, hey, this is what I think you should actually question and tell me.

01:45:35 Until now, you never had that power for yourself.

01:45:38 You're finally getting it.

01:45:40 And eventually, we'll be able to have our own LLMs, like our own models that we would be able to host in our own hardware.

01:45:48 We don't have to rely on one centralized model given to us by any specific model company.

01:45:56 And using that, you can shape it to your beliefs, your custom data.

01:46:03 And so, when you're consuming a search result, you can actually ask that AI that you control and you run so nobody can shut off access to it to tell you, like, hey, can you actually give me a contrarian perspective on this?

01:46:18 Or can you tell me if these search results are actually biased?

01:46:21 So, I think we need to give individuals more sovereignty.

01:46:25 With more access to their own AIs that they own and run on a piece of hardware they own themselves.

01:46:31 And this is the whole, like, this is going to be leading to the whole rise of local AIs.

01:46:36 So, as AI models, like today, they're very power inefficient, they're running on large data centers, but in a year or two from now, whatever capability that exists in the most power hungry data centers will be, it'll be possible to run it in some box that you own.

01:46:50 Really?

01:46:50 Yeah.

01:46:51 It's already happening.

01:46:53 It's already happening that, like, there are, like, interesting hardware projects like the Apple Mac Mini, NVIDIA DGX.

01:47:00 Where you can actually host a reasonable size model and put it in a box and have it run, and you don't have to pay for all the tokens it produces you.

01:47:12 You just have to plug it into your power car and it works.

01:47:17 I know Duncan, my friend Duncan Trussell, he does that.

01:47:19 Yeah.

01:47:20 And today, the capability of that model that can run locally is not quite there.

01:47:25 So you would still prefer to use something that runs in the data center.

01:47:28 But eventually, this is going to be a spectrum.

01:47:31 That's going to be some percentage of tasks that you would start delegating to this local system.

01:47:35 It'll be a hybrid model.

01:47:37 And over time, it could end up being the case that you could buy something that feels like a refrigerator for your home, which is your own AI box, and host a model that you control.

01:47:47 So nobody can arbitrarily shut off access to it one day.

01:47:52 And then you can have that be your weapon against what the big tech wants you to be fed or believe in.

01:47:59 This is the only way we can fight this because they have far more computing power.

01:48:03 Far more data, far more algorithms than you.

01:48:07 So, the only way you can fight that is you have something you own yourself.

01:48:12 And with the rise of open source models, open source LLMs, you can just and progress in local hardware.

01:48:20 And both Apple, NVIDIA, Intel, they're all doing amazing work here.

01:48:24 You could potentially change the future and give people more power.

01:48:26 And this may not be as expensive as people think.

01:48:29 Well, that's a good solution because I've always wondered like, is Are these searches like using Google?

01:48:36 Is that going to be irrelevant one day?

01:48:39 Because you already can just ask your phone.

01:48:41 Like, I most of the time, if I want to have an answer for something, I just ask perplexity.

01:48:46 I was like, what is it?

01:48:48 Instead of having to sift through all these Google searches and try to figure out what it's showing me first and get to page three where it's what I really want to know, I can get the accurate information, then follow up questions are instantaneous.

01:49:01 And even the models that are running the Perplexity app today, they're all in the cloud.

01:49:06 Eventually, you'll be able to do that on a box that you own.

01:49:11 You can still use the front end, the UI of the app, but you can control the compute that runs.

01:49:18 On a piece of hardware.

01:49:20 You may ask, why do I care?

01:49:22 Okay, what if someday the data center gets taken off?

01:49:27 Iran was bombing data centers.

01:49:29 What if someday the government decides that model is no longer available?

01:49:34 You want some control over what models you can run, and you may even want to shape it to your context that you never want to be living on any data center.

01:49:45 And I think that's where I believe the individual gets more sovereignty against big tech.

01:49:52 And that's how we fight surveillance or centralization of power.

01:49:58 Yeah, and certainly pushing narratives.

01:50:02 What do you think happens with social media?

01:50:05 Because social media, and as you were talking about before, algorithms, it's one of the biggest problems in terms of the way people view the world.

01:50:12 Yeah.

01:50:13 I'm curious what you think.

01:50:16 My opinion is that it's not good for the kids, it's terrible for them.

01:50:20 But I think they should have some exposure to it.

01:50:20 Yeah.

01:50:23 Because I think it's good to know that it's a thing.

01:50:26 And I think children are fairly resilient and they learn.

01:50:29 But the anxiety levels of kids are much higher than ever before.

01:50:33 Suicidal ideation is higher, self harm.

01:50:36 Yeah.

01:50:38 My belief is that when you're just fed a feed and the algorithm of the social media company decides what you're going to see next, it curbs your curiosity.

01:50:52 And I don't think things that curb human curiosity should be encouraged.

01:50:58 Yeah, I agree.

01:50:59 And so, if the app is designed in a way where it asks you what you're interested in and helps you to come up and find things that are very related to what you're interested in, that's awesome.

01:51:11 But that's not how it works.

01:51:13 It's literally like it starts with something, you start doom scrolling, and then it starts showing you what you just scrolled, and then you end up in an echo chamber.

01:51:21 And that's not necessarily good.

01:51:23 Well, you can get trapped.

01:51:25 I'm in a trap of schizophrenics lately.

01:51:28 On Instagram, but it's just mostly schizophrenics like people that tell them they're the rightful president of the United States, and like you tell the guy hasn't showered in days. 0.79

01:51:36 And you know, and if you have a phone, you can create an account and just start uploading nonsense.

01:51:42 And then for whatever reason, I've watched a couple of them, so now they just keep showing them to me.

01:51:46 And it's full of AI slop right now, yeah, like a lot of AI slop.

01:51:49 Like it's not even clear, and it's not labeled also clearly whether it's being made with AI or not.

01:51:55 So often, so essentially, it's leading to a complete loss in trust.

01:52:01 Where, when I see something, I don't even know if it's real anymore.

01:52:04 Right.

01:52:04 And it's going to get worse.

01:52:05 Yeah, it's going to get worse.

01:52:06 To the extent that you're going to like, your default would be that this is AI.

01:52:11 And then, like, you're going to have to go through multiple layers to finally verify if it was real.

01:52:19 And even, like, verified accounts post a lot of AI stuff.

01:52:23 So it's not about whether the account is verified by Meta or whatever, right?

01:52:28 So I think.

01:52:31 Fundamentally, I feel like, okay, the way I think about it is what are pieces of technology if it did not exist would be a really bad thing for the world, and what are pieces of technology if it did not exist wouldn't even matter.

01:52:47 And I feel like social media is more towards the second.

01:52:50 Yeah.

01:52:51 Like, you know, searching for information and answering questions and like getting, you know, AIs to like do things for you.

01:53:01 Help you learn new things faster.

01:53:02 All that stuff is some, we need more of that.

01:53:05 But because it supercharges our curiosity.

01:53:09 Whereas like brain rot feeds with AI slop doesn't actually supercharge our curiosity, it actually curbs our curiosity.

01:53:15 And so if we believe that, if we believe in the curiosity premium idea, we need to encourage things that supercharge our curiosity and discourage things that curb our curiosity.

01:53:27 Do you anticipate a time where we recognize the dangers of algorithms and their?

01:53:34 Is some discussion to either curb them or allow people to have control over them in a real meaningful way?

01:53:41 Like you could dictate, maybe through AI, even that there's an AI interface to your algorithm that understands your particular emotional needs, your curiosity.

01:53:50 Like, only show me this.

01:53:52 This is what I'm interested in carpentry and basketball games.

01:53:52 Yeah.

01:53:55 Show me those things. 1.00

01:53:56 I don't want to see who's getting divorced.

01:53:56 Yeah.

01:53:59 I don't give a fuck about this. 0.99

01:54:01 Yeah. 0.99

01:54:02 So here's the thing you can still customize on most of these social apps.

01:54:09 It'll be deeply buried somewhere in the setting somewhere, and you can go and say stuff.

01:54:13 But the reason it's buried is because once you always have to say it, or it's the starting entry point for your experience there, your engagement time would go down because once you consume the content that you really want, you would go back to your work, which is what you really need to be doing.

01:54:28 But that doesn't help them sell more ads.

01:54:31 And so the incentives are not aligned.

01:54:35 And so Elon has this really good metric he talks about where.

01:54:39 It's like a total amount of unregretted minutes spent on the app should go up.

01:54:45 That's a good one.

01:54:45 It's hard to measure.

01:54:46 It's hard to measure.

01:54:48 It's more like in spirit, the right metric.

01:54:52 But this metric is also why it's hard to make money on ads if you care about this metric.

01:54:56 This is why X doesn't really make a lot of money on ads compared to, you know, Instagram or YouTube.

01:55:02 Right.

01:55:02 Because you're kind of like optimizing for interestingness.

01:55:07 Like, it doesn't mean X has everything, right? 0.93

01:55:09 There's a lot of chaos, there's a lot of memes, there's a lot of like, um, Weird shit going on there as well.

01:55:15 But in general, social media is not necessarily great for people. 0.95

01:55:20 I think it's terrible for people.

01:55:21 But it also provides you with a way better understanding of what's going on in the world than has ever existed before.

01:55:30 X, particularly.

01:55:31 X, particularly.

01:55:32 Because it's a place for discourse.

01:55:36 It's a text based app more than a video based app.

01:55:39 Right.

01:55:40 So naturally, people tend to engage in discussions and debates, and there's a lot of Curious debates going on there and a lot of interesting viewpoints expressed by people.

01:55:50 So, I think in terms of the unregretted minutes, it's actually one of the better social media apps.

01:55:56 But apps that are purely based on like video or images and largely video these days, I think that's just you know just trying to get your eyeballs in time.

01:56:08 Yeah, those are the mind numbers.

01:56:09 Yeah, they just numb your mind.

01:56:10 It's depressing when you go to a metro and you just see people just scrolling through their feed.

01:56:15 Nobody, everybody doing it.

01:56:17 You look, the entire car, everyone's doing it.

01:56:19 It's just insane.

01:56:20 Yeah.

01:56:21 Yeah.

01:56:21 It's weird.

01:56:22 I always say that if there was a drug that existed that made people stare at their hand for six hours a day, everybody would be like, get that out of here.

01:56:28 But that's essentially what we're doing.

01:56:28 Yeah.

01:56:30 Because most of what people are looking at most of the time, they don't even remember.

01:56:34 Yeah.

01:56:35 They're just scrolling through this thing.

01:56:36 It's brain rot.

01:56:37 It's just brain rot.

01:56:38 It curbs your curiosity.

01:56:39 Yeah.

01:56:40 I mean, Apple has these settings in different apps.

01:56:42 Have you tried this?

01:56:43 What?

01:56:43 You can set the timer for every app.

01:56:46 No, I just use discipline.

01:56:49 I don't engage very much anymore.

01:56:52 I dip my toe into X every day for a few seconds.

01:56:57 I go, what's everybody mad at?

01:56:58 What's going on?

01:56:59 Who stole this?

01:57:01 How much corruption's here?

01:57:03 Who got killed there?

01:57:04 Okay, bye.

01:57:05 And then I just check out.

01:57:07 I don't want to do it.

01:57:09 And Instagram to me is just nonsense.

01:57:12 I just look at that every now and then for nonsense and occasionally something interesting.

01:57:17 Really, YouTube is my main go to thing.

01:57:19 Because YouTube is my most unregretted minutes.

01:57:19 Yeah.

01:57:22 Yeah.

01:57:22 YouTube for me is always interesting.

01:57:25 There's always like some cool thing on cosmology.

01:57:29 There's some.

01:57:30 I watch fights on YouTube.

01:57:32 I watch.

01:57:33 Professional pool matches, that's what I do for the most part.

01:57:37 That's where I really like to find my actual interests and fulfill my curiosity.

01:57:41 Long form content is what human mind should be trained to consume more of, whether it's books, whether it's like 30 minute videos explaining something.

01:57:52 And you need to train your mind to actually complete it.

01:57:55 That's actually the biggest problem with the younger generation.

01:57:57 The more they're in the reels experience, short form video, they're unable to actually like.

01:58:04 Complete like long videos anymore.

01:58:06 That's true, but also at the same time, the rise of podcasts is happening.

01:58:11 Yeah.

01:58:12 It's great.

01:58:12 And it's great.

01:58:13 So there's, it's not, it's not universal.

01:58:16 It's like there's a lot of people that don't find fulfillment in all the doomscrolling and all the nonsense.

01:58:20 Yeah.

01:58:20 They really do want, yeah.

01:58:22 I'm particularly just focused on the younger generation.

01:58:25 I'm sure like people like us can adapt to like, okay, let's say maybe you have a temporary addiction to social apps and we can.

01:58:31 But a lot of the young people are the people that like, I meet kids like at the mall that are 11 that listen to my podcast.

01:58:37 Really?

01:58:38 Yeah.

01:58:38 Wow.

01:58:39 I know.

01:58:39 It's nuts.

01:58:40 They go, I love your podcast.

01:58:41 I'm like, who lets you listen?

01:58:43 Get out of here.

01:58:46 No, I'm always joking around about it.

01:58:47 Maybe that's really cool.

01:58:48 But no, there's a lot of, like, particularly young boys that come up to me all the time that are interested in it.

01:58:54 That's amazing.

01:58:55 I love it.

01:58:56 I love it because then they're going to get exposed to some interesting ideas.

01:58:59 And it'll also encourage them to have those kind of conversations with each other.

01:59:03 Right.

01:59:04 Yeah.

01:59:06 Who's podcast do you listen to?

01:59:08 I love Tim Dillon's.

01:59:09 He's probably my favorite because it's. 0.91

01:59:11 The most accurate and also satirical and hilarious view on everything that's going on in the world in terms of like war and world news and culture shit. 0.92

01:59:24 And he's my favorite. 0.94

01:59:26 He was just on here yesterday. 0.99

01:59:28 I fucking love that guy to death. 0.97

01:59:29 He's so funny. 1.00

01:59:30 He's so crazy.

01:59:31 It's like his mind works in such a unique way and it's developed because his podcast is different where he very rarely has guests. 0.86

01:59:40 So most of the time it's just him ranting and his producer laughing.

01:59:44 And he's the best ranter that's ever lived.

01:59:45 I don't think there's anybody that's even close. 0.97

01:59:47 He's the goat.

01:59:48 Like, there's, like, I don't think there's any argument.

01:59:51 Every comedian agrees.

01:59:53 Like, as far as, like, just the ability to just sit in front of a microphone and rant, like, Bill Burr does it well.

01:59:58 He's good at it.

01:59:59 There's a few other guys that are good at it.

02:00:01 No one's as good at it as Tim.

02:00:03 He's the most consistently entertaining.

02:00:06 And then for just mind, not mindless, but like to escape, I listen to a lot of archery shows and hunting shows where they're talking about different tactics in hunting or different.

02:00:18 Techniques in archery, new equipment, and new innovations.

02:00:23 Archery is an interesting thing because every year bow manufacturers make a better bow.

02:00:29 And like tiny little engineering changes of these bows.

02:00:34 Like it's a weapon that's been around for who knows how many thousands of years.

02:00:40 But what the.

02:00:41 And you're able to feel those improvements.

02:00:43 Yeah, you feel the difference.

02:00:43 Oh, yeah.

02:00:44 Every year Hoyt puts out a new bow. 1.00

02:00:46 And every year I'm like, motherfucker, they did it again. 1.00

02:00:49 It's better. 0.99

02:00:50 So just tiny changes.

02:00:52 Less vibrations in the hand, more balance in the shot.

02:00:56 You know, more forgiving in terms of accuracy.

02:01:00 I love that stuff.

02:01:01 So I get really fascinated by engineering, really fascinated by automotive engineering.

02:01:06 I'm really interested in, like, that's another thing where, like, every year people figure out to make a car that can hold more G's on a skid pad, that can get around a track quicker.

02:01:17 Like, every year they're battling to see who can get around the Nurburgring quicker.

02:01:20 And what are they doing?

02:01:21 They're adding horsepower, increasing suspension travel and suspension tuning, rather, and making them more compliant or making them stiffer.

02:01:30 And making them more adjustable, and then like tire compounds.

02:01:35 I'm just interested in anything that where someone's working on something and getting better at something or getting new information.

02:01:44 I love history podcasts, I listen to a bunch of history podcasts.

02:01:47 So that's most of the time when I'm listening to something, I either want to be entertained or I want to be educated.

02:01:53 Educational, yeah, yeah, and that's entertaining, yeah.

02:01:58 What about you?

02:01:58 What kind of stuff do you listen to?

02:01:59 I mean, I listen to your stuff, I listen to Lex.

02:02:02 There's this guy, um.

02:02:03 I mean, you know, you might, you had him on, like Rick Rubin, of course.

02:02:06 Sure.

02:02:07 Love that guy.

02:02:07 Yeah, yeah.

02:02:08 Yeah, yeah.

02:02:09 He's awesome.

02:02:09 I listen to his stuff.

02:02:12 And I mean, I also watch like some interesting videos about, you know, concepts I don't understand.

02:02:20 There is this YouTube channel, Veritasium.

02:02:23 You should check it out.

02:02:24 What is it called?

02:02:24 Veritasium.

02:02:26 How do you spell that?

02:02:27 V E R I T A S E U M. Veritasium.

02:02:33 What does it mean?

02:02:34 I think.

02:02:35 Is that someone's name?

02:02:36 No, Veritas just means like seeking truth kind of thing.

02:02:39 Oh.

02:02:40 Is it this channel?

02:02:40 Okay.

02:02:41 Yeah, Ooh.

02:02:45 20.9 million subscribers.

02:02:45 Okay.

02:02:47 Yeah, I've seen a lot of people agree.

02:02:49 So they make all these very interesting videos about like stuff that, you know, you would be curious about, but you never actually bothered to ask that or learn more about and explain some of the most under understood companies or like phenomena.

02:03:07 And I just love watching it.

02:03:10 This is kind of like my idea of Doom Scrolling.

02:03:13 I like watching like 20 videos at once.

02:03:15 Yeah, I am going to subscribe to it right now.

02:03:18 It's pretty cool.

02:03:20 Veritasium.

02:03:23 There it is.

02:03:24 Subscribed.

02:03:24 Got it.

02:03:25 Bam.

02:03:27 And it explains all these fun concepts that are, you know, you take it for granted.

02:03:33 Like, okay, why is Google Maps really fast?

02:03:35 Like, okay, it'll tell you what's going on, how the data is used across so many different people at once.

02:03:41 All these different heart murmurs.

02:03:42 CIA's new tech doesn't make sense.

02:03:44 Exactly.

02:03:46 We were just talking about that yesterday.

02:03:47 We were doubting it.

02:03:49 You know, the heart murmur thing?

02:03:50 Do you know about that?

02:03:51 No.

02:03:52 So, the pilots that were downed in Iran said that they have this technology that allows them, I think they could use it up to 70 miles and they could detect a very unique heart rate.

02:04:06 Like, your heart rate is different than my heart rate.

02:04:08 They could know it's you.

02:04:09 You could be hiding in the mountains and they could find you from 70 miles away with this technology.

02:04:14 Wow.

02:04:15 But a lot of people are like.

02:04:16 Beams or waves or something?

02:04:18 Well, it's called, what is it called?

02:04:19 Quantum magnetometry?

02:04:21 Is that what they call it?

02:04:22 I think that's what it was.

02:04:25 Remember, we looked it up yesterday.

02:04:27 They're using the word quantum and not explaining what they're doing, like how they're doing it.

02:04:32 And you're like, okay, is that real?

02:04:35 Or is this some invented horseshit to cover the fact that they have some very sophisticated satellite imagery where they can have a detailed map of literally the entire surface of the world?

02:04:46 They know exactly where people are, but they don't want our enemies to know that they have this capability.

02:04:51 So they're making up something.

02:04:53 I see.

02:04:53 That was my suggestion yesterday.

02:04:56 That, like, maybe they're full of shit. 1.00

02:04:57 Because the whole thing seems nuts. 1.00

02:04:59 What is it called?

02:05:00 You got it.

02:05:01 It's quantum magnetometry?

02:05:03 Okay, what does that mean?

02:05:03 Sure.

02:05:04 You tell me.

02:05:05 Exactly.

02:05:05 I don't know.

02:05:06 Yeah.

02:05:06 So, this guy, he's saying it doesn't make sense.

02:05:10 Yeah, and a lot of people say it doesn't make sense.

02:05:12 Like, it doesn't seem to vibe with anything that we know that we can do.

02:05:15 Magnetometry, yeah.

02:05:16 Yeah.

02:05:17 First time hearing it.

02:05:18 See the.

02:05:18 Pull up the description, the official description of what this stuff is capable of.

02:05:24 So, this is supposedly some very.

02:05:27 Advanced CIA tech that allowed them to locate this downed pilot.

02:05:32 Interesting.

02:05:34 Maybe.

02:05:35 Or maybe there's something else going on.

02:05:37 Or maybe there's some other methods that they use that they don't want the enemy to know about.

02:05:41 Maybe some beacon these guys have on them.

02:05:44 Yeah, I guess what's the incentive for CIA to actually describe how their technology works?

02:05:48 Yeah, zero.

02:05:49 Why would they tell you that?

02:05:51 Why would they tell you they even have that?

02:05:52 That's crazy.

02:05:53 Yeah.

02:05:54 And then Jamie had a good point.

02:05:55 But the capability is insane.

02:05:57 Detecting your.

02:05:58 Heart rate 70 miles away is just insane.

02:06:01 Yeah, how?

02:06:02 And when they throw the word quantum in things, I was going, hmm.

02:06:05 Hey, what happened with that White House announcement?

02:06:08 Sorry, I keep.

02:06:09 The quantum computing.

02:06:10 Yeah, remember?

02:06:12 There's Q news coming soon, and then at the bottom, the Q sounds for quantum.

02:06:18 Is that what it is?

02:06:19 I thought they just announced a bunch of investments in a bunch of quantum companies.

02:06:22 Maybe that's it.

02:06:24 Yeah, IBM was getting some funding or whatever.

02:06:28 So this quantum magnetometry.

02:06:31 Can you pull up a description of what it is?

02:06:34 Sorry, I was asking too many questions at the same time.

02:06:38 Quantum sensor help rescuers.

02:06:41 Yeah, so this is it Ghost Murmur.

02:06:44 Yes, that's what it's called.

02:06:46 Purported surveillance technology utilizes long range quantum magnetometry.

02:06:51 What is that?

02:06:52 Quantum magnetometers measure extremely faint magnetic fields, including the body's natural electromagnetic signals, by tracking changes in the energy states of atoms or subatomic particles.

02:07:04 What?

02:07:05 Technology reportedly uses microscopic defects in synthetic diamonds.

02:07:10 When illuminated by a laser, these centers are hypersensitive to tiny magnetic fluctuations.

02:07:16 The heart signal.

02:07:17 While human heartbeats produce a magnetic field that is extremely weak, around 50 to 100 picoteslas, and typically degrades over very short distances.

02:07:28 So the ghost murmur deployment, they reportedly used ghost murmur during a mission in southern Iran to pinpoint the location of a down American airman using.

02:07:37 Hiding rather in dense mountainous terrain.

02:07:40 By mounting these quantum sensors into a helicopter, the system purportedly registered the pilot's heartbeat from afar.

02:07:49 Okay. 1.00

02:07:50 Does that sound like more shit? 0.99

02:07:52 I mean, it doesn't sound full of shit, but basically, the part that sounds surprising to me is how they're able to deal with all this distance and attenuation across the distance and all this interference, and they claim to use AI for that, but nothing is really described on how they use it. 0.99

02:08:08 Right. 0.96

02:08:08 So, if they're not describing how they use it, why are they even telling us they have it? 0.96

02:08:13 There's a lot of skepticism on it.

02:08:13 Why, too?

02:08:15 Yeah.

02:08:16 Laws of physics.

02:08:17 Physicists point out that the heart's magnetic field is a million times weaker than the Earth's.

02:08:23 Detecting it at a range of miles rather than centimeters defies currently published peer reviewed physics.

02:08:30 Alternative explanations suspect that while quantum sensors were likely on board, they were probably tracking the radio waves of a survival beacon, the metal in the pilot's equipment, or using traditional thermal, infrared, and radar capabilities rather than detecting a raw heartbeat via magnetic fields.

02:08:49 I do remember seeing a different part of a.

02:08:52 When that story happened back in April, someone did report on one of the military websites that there was a survival beacon that they used to track them.

02:08:59 And that the whole quantum armor stuff was nonsense.

02:09:02 Yeah, I saw that too.

02:09:03 No one wants to report that because it's not fun.

02:09:05 Right.

02:09:06 No, the ghost armor thing is awesome fun.

02:09:09 And if that is real, like, boy, you could imagine a world 100 years from now where that is real.

02:09:15 So it's exciting.

02:09:16 Oh, yeah, 100 years is a long time for this to be real.

02:09:18 Yeah.

02:09:19 100 years, they probably got it down pat.

02:09:22 Then that's the problem.

02:09:23 You can't hide from the robot dogs from Black Mare.

02:09:26 Yeah.

02:09:30 Do you ever, while you're working in AI, do you ever wonder, like, is this the downfall of humanity?

02:09:37 Is this a good thing to be working on?

02:09:39 Did you ever have, like, doom moments?

02:09:43 Not on specific things I'm working on, but in general, I do worry about, like, How much you know, you obviously want to like stay in charge and you know, be in control of your experience, um, still be the one driving change and have a lot of agency for yourself.

02:10:01 So, I do worry that like it's all about like making sure everybody's upskilled and understanding like where the future is headed and not being like, um, fed only like dangerous apocalyptic messages, and uh, because it's very essential that human beings retain their agency and.

02:10:20 Staying curious, right?

02:10:21 Like, so if that stops being the case, if you start subscribing to the vision that, okay, your jobs are done, you don't really have any meaning in the world, and we'll pay you some dividends, and you just sit at home and chill, that is not a good thing.

02:10:34 So, and I feel like there are not enough voices in AI that are actually saying anything different to that.

02:10:39 And I like, like, when Jensen was here, I think he was a little different.

02:10:43 I think he tried to give a more positive version where he said, okay, like, The radiologist thing, if all radiologists can take away, they start doing different kinds of work.

02:10:57 So I think we need to start looking at, like, okay, first of all, guys, relax.

02:11:02 You have one freemium skill, your curiosity.

02:11:05 So let's figure out ways to channelize that.

02:11:07 Let's change the way work is done in companies.

02:11:09 Let's change the way educational institutions run.

02:11:11 Let's change the incentive structures.

02:11:14 And let's help you build new ideas and new companies and explore things that are not even being considered.

02:11:20 And the government should obviously support all these initiatives.

02:11:23 So that's what needs to happen more. 0.98

02:11:25 But what's happening actually right now is, okay, like, hey guys, you're all losers. 0.97

02:11:31 You're going to lose your jobs. 0.98

02:11:33 And don't blame me because I told you so, right?

02:11:37 And still give us money because we're still going to do it anyway.

02:11:42 And so that's what's happening more.

02:11:44 And I think we should stop doing that.

02:11:46 That's my opinion.

02:11:48 Well, it is the problem is it's kind of a self fulfilling prophecy.

02:11:51 And if you tell people that they're going to be a loser and their life is over, they're going to think that way.

02:11:56 Instead of giving them.

02:11:57 An understanding of, like, look, this can open up new doors for you.

02:12:01 Yeah.

02:12:02 And anytime there's any sort of disruptive technology, there's always the fear that it's going to go badly.

02:12:07 This was the case with the locomotive.

02:12:07 Yeah.

02:12:10 This was the case with when the printing press was invented.

02:12:14 Yeah.

02:12:15 By the way, I did some research on this where, in the Industrial Revolution, people got new ideas.

02:12:25 For example, when the Industrial Revolution happened, who came up with the idea of a steel plow?

02:12:31 John Deere.

02:12:32 Until then, we were using wooden plows for farming.

02:12:36 No farmer complained that, hey, we need fewer farmers now because steel plow is able to do it more effectively.

02:12:43 No one complained.

02:12:45 You actually had more farms and more productivity, more crop yields, and you're happier.

02:12:50 But isn't that just a regular tool as opposed to AI?

02:12:53 AI is different.

02:12:53 Sure.

02:12:55 It's not overnight going to become something that's capable of just running an entire multi trillion dollar company on its own.

02:13:03 There are a lot of things that AIs cannot do.

02:13:05 There's a lot of tacit knowledge in every company that AIs don't quite understand.

02:13:10 And there's a lot of new directions that you can just start working on that AIs are not well equipped to do because it doesn't have full knowledge about it.

02:13:17 And the knowledge about it is yet to be captured.

02:13:20 And some of that requires like human to human work and collaboration.

02:13:23 So we obviously have to gravitate towards what is scarce.

02:13:27 When AI makes the current labor that's considered scarce, because that's where the money is going in, commodity, then we have to gravitate towards what is scarce.

02:13:38 And the only way to do that is to seek things that we don't know about, which is only something we can discover through our curiosity.

02:13:46 There's nothing else.

02:13:48 Whatever we don't quite understand well, Whatever we don't know how to do well yet, even with the current capabilities of AI, that's where we should pull our labor and workforce into.

02:13:59 So it needs more responsible messaging, and that's not quite happening right now.

02:14:05 I think it needs responsible messaging, and then in the future, what it needs is real direction in terms of letting people find their curiosity and find these paths of interest and find something to do with themselves that doesn't involve whatever they're.

02:14:23 Previous occupation that's irrelevant now.

02:14:27 That's true.

02:14:28 I think like passion for people is something that not a lot of people will be able to answer out of the box.

02:14:34 Like, if you go and ask them, What is your real passion? and the only thing they have known in life is to just climb up career ladders and make more money, that's going to actually take them a while to even discover.

02:14:47 Right.

02:14:48 Which is why it's so important to get kids off on the right start.

02:14:51 Yeah, that's the hope.

02:14:52 That's our hope for the future, the kids are born curious.

02:14:56 They don't need to change themselves to be curious.

02:15:00 The adults who probably already are like, because of this knowledge work thing, who kind of curb their curiosity and try to fit into the existing system, it might be a little hard for them to adapt.

02:15:12 But the kids, I think they don't have this problem.

02:15:15 So I'm actually optimistic about the future long term because the future is all centered around whoever is very young today.

02:15:22 What do you think about this idea that universal basic income is going to be required?

02:15:28 Some form of it is good.

02:15:30 It's like a dividend.

02:15:31 I almost think of it as a dividend.

02:15:33 If a lot of spend that most companies are currently doing today on like payroll, which is paying a knowledge worker for a certain task, think of knowledge work as basically taking information and transforming it into an artifact.

02:15:48 Right?

02:15:49 And it's messy and complicated. 0.56

02:15:50 Let's assume that's being done by AIs.

02:15:52 So obviously, companies will start spending more on compute instead of payroll.

02:15:58 It's just a reallocation of like spend or budget.

02:16:01 Similar to like what happened in advertising industries where most of your advertising budgets went to like television and like billboards and then now it's starting to go to Google and Instagram and YouTube and all that.

02:16:12 So when that happens, obviously like the AI companies are going to make a lot of money and people who helped be part of creating it or either directly or indirectly would want to have some role to play in that.

02:16:29 Ecosystem and a good way to involve them is through giving them some ownership in the company.

02:16:35 So, as shareholders, if you get dividends from the profits generated by the AIs, it's not a bad thing.

02:16:42 But that shouldn't be the only thing.

02:16:44 Right.

02:16:44 So, this is similar to like people that live in Alaska that get a check.

02:16:48 Correct.

02:16:49 Alaska does this and it's not a bad thing as long as they are doing some other things alongside. 0.76

02:16:57 It could lessen the burden.

02:16:59 Correct.

02:17:00 Yeah.

02:17:01 And if people are interested in still being part of the AI industries, they go do things that AIs are not able to do today.

02:17:07 And that's been the case before.

02:17:09 Like when the Industrial Revolution started, the United Kingdom actually started projects around building railroads.

02:17:18 And that gave a lot of people who were in the cottage industries new jobs.

02:17:23 So there are going to be a lot of new projects to just, okay, like what if we want to reimagine the government itself where the government runs largely on AI?

02:17:31 Yeah, that was my next question.

02:17:33 Yeah.

02:17:34 So then we need people for that.

02:17:35 Yeah.

02:17:36 Because this is a legacy industry.

02:17:38 It's not about the capabilities not being there.

02:17:41 It's about working through the legacy and bureaucracy to actually deploy and implement this inside the largest institutions in the country.

02:17:52 And that's going to need a new set of skilled workers to go do that.

02:17:57 So some people who might be working at Microsoft or something today might actually end up working for the United States government because.

02:18:04 Microsoft may not need them, especially for internally deploying AI or selling AI to their customers, but the government needs them.

02:18:11 And if the government can pay them well and it's a fulfilling job to find some meaning for doing something good for the country, it's not a bad thing.

02:18:19 So I think just like in the Industrial Revolution, where we had new projects because the demand for AI was so big, we're going to start seeing some new projects being created in AI as well when the capabilities advance enough that they can replace knowledge workers.

02:18:34 That's the rosy scenario.

02:18:37 It's not as rosy.

02:18:38 Like, the real world is messy.

02:18:40 A lot of things are still done through trusting other human beings. 0.94

02:18:45 Nobody is, like, blindly trusting AIs.

02:18:46 AIs still make a lot of mistakes.

02:18:48 I know a lot of people are hesitant to the idea of AI running government, and I get it.

02:18:53 But also, look at what the people are doing.

02:18:56 Look at how much corruption there is, how much fraud and waste.

02:18:59 Imagine if all fraud, waste, and corruption was instantaneously eliminated.

02:19:04 Yeah.

02:19:04 I mean, that was what Elon tried to do with Doge, right?

02:19:07 Right.

02:19:09 And then I think the bottleneck there was just discovering how slow it is to do things.

02:19:14 He's not used to running that slow.

02:19:16 Yeah.

02:19:17 Also, how much resistance.

02:19:18 Yeah, because there was so much grift.

02:19:20 Correct.

02:19:21 Yeah.

02:19:21 So, honestly, more than AI, the government is running a lot of legacy software stack because a lot of these legacy enterprise companies just have created these multi decade or year contracts that are hard to get out of.

02:19:38 And the way they do that is to sell it at a much larger discount.

02:19:42 And, like, you know, like if you're on a specific OS, you're not allowed to change this for like 10 years.

02:19:48 You have to use the same sort of software.

02:19:50 All these people you hired only know to use that tool.

02:19:54 So, it takes time to actually change and implement new things, leave alone AI.

02:19:58 If you just wanted to move everybody from Windows machines to Mac machines, good luck with that.

02:20:03 It's going to take a lot of time.

02:20:05 That's the state of the system.

02:20:09 And so, that has nothing to do with the technology.

02:20:12 And so, to do things in such messy systems, you still need people.

02:20:16 You still need people to navigate all these changes.

02:20:22 It's not about the capability of technology, it's more about how the system is structured.

02:20:26 And that's why I still feel there will be new jobs.

02:20:30 Maybe there's a lot of new projects to be done.

02:20:32 Maybe some good leader actually wants to change the system and is willing to be patient about it.

02:20:38 Over a five to 10 year horizon, if you take 10 years to actually run majority of the government processes on AIs, it may seem slow to you today, but in the grand scheme of things, it's actually good for the country.

02:20:51 And that's still going to need a lot of nice engineers to go work on these projects.

02:20:56 So, they're not going to lose all their jobs.

02:20:58 There's going to be some displacement.

02:20:59 There's going to be some new projects.

02:21:01 There's going to be new priorities.

02:21:03 But it'll keep going.

02:21:04 The system will keep going because that's just how historically things have been.

02:21:09 When you think about the future of AI and you think of this.

02:21:14 So, when you think about AGI in particular, you think about something that could potentially make better versions of itself, self replicating.

02:21:24 And then how far does it go?

02:21:24 Yeah.

02:21:27 Yeah, so that is the ultimate form of.

02:21:31 I think some people in Silicon Valley have started calling that as ASI.

02:21:35 So when you see the word ASI being thrown around, people kind of think of ASI as an AGI that can recursively self improve itself.

02:21:46 So that's going to be no limits to how smart it can get.

02:21:49 Right.

02:21:50 And I used to think that ASI is bottlenecked by power because you need a ton of compute for this model to.

02:22:00 Keep on training itself and running its own rollouts and collecting data and then going and updating itself.

02:22:07 But you could imagine that once the algorithm is correct, the ASI could be tasked with just making itself more efficient too.

02:22:14 Where improvement doesn't just mean capability improvement, improvement could also mean power efficiency.

02:22:20 And that way, the recursive safe ASI that is improving itself also makes itself more compact and more efficient and it can run on less compute.

02:22:30 So, that would be the ultimate project in AI.

02:22:32 Think of it as almost as the last project in AI is basically cracking recursive self improvement.

02:22:37 Once you crack that, you don't have anything else to work on.

02:22:41 In practice, I think what's going to happen is because information is so muddled and fragmented and living in disjoint systems, just the way we have constructed our messy real world, it's going to be hard to point even a recursively self improving AI at some metric and say, go improve this.

02:22:58 Or go reduce inflation by 5%.

02:23:00 That would be awesome if you can task an AI to do that.

02:23:04 If that's the job of the government to just reduce inflation, have a deflationary effect on society, and make goods and services a lot more abundant and efficient, it's going to have to deal with a lot of messy legacy systems.

02:23:18 If the task is to go improve the healthcare, well, good luck.

02:23:22 Who's going to deal with all the compliance of actually implementing these changes inside hospitals?

02:23:28 Most hospitals are still using legacy software because the software provider.

02:23:33 Has lobbied the government in a way where only they're allowed to do that. 1.00

02:23:37 God, what a stupid bottleneck. 1.00

02:23:39 Exactly. 1.00

02:23:39 So a lot of the bottlenecks in actually having AIs just take over and massively improve the human society and our hospitals, our legal systems, our government systems, where most of the payroll is going into, is just bottlenecked by a lot of compliance and regulation. 1.00

02:23:58 And so that's why I feel the human beings are still necessary to effect the change because these laws and regulations were built for us.

02:24:08 And it also seems like we have to demand that those systems be usurped.

02:24:12 Sure, 100%.

02:24:13 And we need the help of AIs to rewrite all these laws.

02:24:16 It's going to be humanly impossible to go and change one specific line here and there.

02:24:22 And then you're going to have a bunch of these software companies that are lobbying to try to stop that from happening.

02:24:22 Right.

02:24:28 That's why this messiness and this need for getting all people on the same page and actually steering the society in a positive way, our jobs will probably be more steered towards that problem solving at a different level of abstraction, maybe more need for EQ.

02:24:45 More need for actually like understanding differences of opinion and still like a leadership quality, ability to understand people, and ability to convince people.

02:24:58 These are the skills that will be even more important in a world where like actual work can be done by AIs, but effecting the change in our society, in our country, still needs human beings because the systems are messy.

02:25:15 It's a weird world we're in right now.

02:25:17 Yeah.

02:25:18 It's never been weird.

02:25:19 That said, there's a lot of things that can still go wrong when you give so much power to specific companies and they deploy all these bots and then anybody can use them in weird ways.

02:25:35 You don't even know if you're talking to a real person anymore.

02:25:39 They're like people who just run AI responses and chat with 500 people at once.

02:25:44 And that's like an whole business.

02:25:48 I think it's going to take a lot of adjustment.

02:25:52 Well, the other piece of adjustment that a lot of people are coming to grips with is that this is a new part of our conversation.

02:25:58 And that in 2020, like when I first moved here, AI was never discussed.

02:26:03 It was not a thing.

02:26:05 I mean, we knew about it, we knew about AI, but it wasn't a huge part of the cultural discussion of what the future holds for us.

02:26:15 Now it is.

02:26:16 It is central.

02:26:17 And in that short amount of time, in just six years, it really makes you wonder because we know how.

02:26:23 Technology progresses exponentially, like what it's going to look like six years from now.

02:26:27 Yeah, the 2028, like, like, you're definitely my prediction is 2028 election debates are going to be largely about AI.

02:26:35 Wow.

02:26:36 Yeah.

02:26:37 AI, energy crisis, power, power.

02:26:43 People are going to care about all these things.

02:26:46 Because AI is no longer a thing that is new, it's part of all our lives.

02:26:51 Everyone's using some form of AI in some ways.

02:26:55 And, uh, It's not as dangerous as people thought.

02:26:58 It's an amazing tool for doing work and asking questions and learning things and all these things.

02:27:03 When used correctly.

02:27:04 Yeah.

02:27:05 Yeah.

02:27:05 It can also be used incorrectly.

02:27:08 Like everything.

02:27:09 Like everything.

02:27:10 So it's far more powerful that incorrect usage can cause serious damage.

02:27:15 Like, for example, kids who are using AIs for companionship.

02:27:20 Right.

02:27:21 Crazy things are happening there.

02:27:22 Crazy things are happening.

02:27:24 Not good.

02:27:25 It's as dangerous as, or probably more dangerous than social media.

02:27:25 Yeah.

02:27:30 And it's also scary that social media companies want to build more of these kind of like companionship apps because they know that, okay, their only job is to get you engaged more and that's the only way to sell more ads and make more money.

02:27:45 And clearly, companionship is a way to get you engaged more.

02:27:48 Yeah.

02:27:49 And so that's dangerous if ads start being part of like AI chats.

02:27:55 Yeah.

02:27:56 Because then if that ends up working, then all these chat bots are just going to be sycophants that just.

02:28:04 Tell you stuff that you want to hear.

02:28:06 It's also an indistinguishable facsimile to a real person.

02:28:11 Like they communicate like a real person.

02:28:13 Right.

02:28:13 So you really think you have a relationship with this.

02:28:16 Right.

02:28:17 And it truly screws with your mind.

02:28:21 It's hard to decouple and it takes a lot of time to recover if you want to unplug.

02:28:27 And so the business model incentives are not well aligned to humanity.

02:28:31 Did you see that AI?

02:28:34 Companion that they developed that was at the Consumer Electronics Show in Vegas this year.

02:28:39 Which one? 1.00

02:28:40 It's like a hot Asian lady. 1.00

02:28:42 I see. 1.00

02:28:43 Yeah.

02:28:44 These are the weird kind of projects that are going on.

02:28:46 Yeah. 1.00

02:28:47 It's a hot Asian lady that talks to you. 1.00

02:28:49 Yeah. 1.00

02:28:50 And, you know, she talks to you through AI.

02:28:52 And right now it's just a kind of a crude sort of robot, but you can see where it's going.

02:28:57 You can see where it's going.

02:28:58 Ex machina.

02:28:59 Yeah.

02:29:00 It's going right there.

02:29:02 Yeah.

02:29:03 That movie was.

02:29:03 Yeah.

02:29:04 Amazing.

02:29:05 Quite far ahead of his time.

02:29:06 Really?

02:29:07 Yeah.

02:29:08 That's one of my top 10 favorite movies of all time.

02:29:10 It's underrated, actually, because reviews online say it's not as good, but I liked it.

02:29:16 I loved it.

02:29:17 I thought it was fantastic.

02:29:17 Yeah.

02:29:18 I like it better than her.

02:29:20 Yeah, her, I lost her after a while.

02:29:22 I shut it off.

02:29:23 Yeah.

02:29:24 I lost my attention.

02:29:25 I'm sure it's good.

02:29:26 It was the wrong time for me to watch it.

02:29:28 Yeah.

02:29:28 But X Monkey, I've seen it like five times.

02:29:31 I fucking love that movie. 0.97

02:29:33 It's just so. 0.99

02:29:33 Yeah. 0.99

02:29:34 I don't want to give anything away, but it's so incredible and so bleak and so.

02:29:39 Yeah.

02:29:40 In the relationship that he has with the hot one?

02:29:43 Yeah.

02:29:44 Can you believe it?

02:29:45 You're like, I'd be right there with him.

02:29:48 You know, it's too confusing to our system to have something that looks exactly like the thing that you desire, that is actually interested in you.

02:29:55 It just happens to be.

02:29:55 But it pulls all your data back and stuff.

02:29:57 Yeah.

02:29:57 Knows too much about you, knows how to pull your strings.

02:30:00 Yeah.

02:30:01 But listen, man, very fascinating discussion.

02:30:04 I'm glad we did it.

02:30:04 Yeah.

02:30:05 Thank you so much.

02:30:05 Thank you very much.

02:30:06 And thanks for having an awesome platform.

02:30:08 Perplexity has been great.

02:30:09 We really love using it here at the show.

02:30:11 It's.

02:30:11 It's made the show more interesting.

02:30:13 It's cool.

02:30:14 Thank you.

02:30:14 It's very fulfilling because we want the app to be used by curious people.

02:30:19 If we want to lift the ceiling of what our population can be, not everyone is fully curious all the time, but we're all born with it.

02:30:30 At some point in time, the system curbs it from us.

02:30:33 There should be more apps that get us back to what we're naturally good at.

02:30:36 It's a fascinating tool for technology or for curiosity, rather, because it's seamless.

02:30:42 The way we use it on the show because there's always a question.

02:30:45 Yeah.

02:30:45 There's always, it comes up so often.

02:30:47 Like, throw it in perplexity.

02:30:49 Let's find out what's up.

02:30:49 Yeah.

02:30:50 Yeah.

02:30:50 So it's been great for us.

02:30:51 Thank you so much.

02:30:51 So thank you.

02:30:53 All right.

02:30:54 Bye, everybody.

02:30:54 My pleasure.

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The Joe Rogan Experience - July 01, 2026

Joe Rogan Experience #2521 - Aravind Srinivas

Episode Stats

Summary

Transcript