WEBVTT

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Hey, everyone. Welcome to the show. Great to

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be here. You know, think about how easily a single

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idea, whether it's true or totally off base,

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can just spread like wildfire these days. It

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shapes everything, you know, our own beliefs,

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even the fate of whole countries. It's this power

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that can be amazing, uniting, but also, frankly,

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terrifyingly misleading sometimes. It really

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is. That influence of information is profound.

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And sometimes unsettling. Absolutely. And that's

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exactly what we're diving into today. Now, this

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might sound like, I don't know, a thriller plot.

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Right. But this is actually a deep dive into

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nonfiction. We're exploring the fascinating and

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sometimes, yeah, genuinely mind blowing world

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of information networks, how they work, how they

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affect us. It's a huge topic. It really is. And

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hey, if this kind of intellectual adventure sparks

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your interest, please do hit that like button

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and subscribe. We do lots more deep dives into

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ideas that kind of challenge how you see things.

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Definitely. And for today, our guide through

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this complexity is you've all know Harari's book

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Nexus. You can find a link for it down the description.

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It's a great book. It really throws down a challenge

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right away, suggesting that maybe the real main

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character of history isn't us humans, but information

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itself. And it makes you wonder, you know, is

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our growing reliance on all this infotech purely

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a good thing or is it more complicated? OK, yeah,

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let's unpack that. Our mission for this deep

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dive is really to dig into how complex information

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is, just like Harari lays it out. We want to

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explore its potential, you know, for amazing

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progress, but also for, well, real danger. And

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what does this all mean for you trying to make

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sense of the world right now? Because there's

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just so much information coming at us constantly.

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It's overwhelming. Totally. So our aim here is

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to pull out the most crucial insights, the stuff

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that really makes you think. Exactly. The very

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first big point Harari makes is one that forces

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us to rethink something basic. What information

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is. It's not automatically good or bad. Right.

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Or even true or false. Right. It's easy to fall

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into that trap what the book calls the naive

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view. You know, the idea that if we just pile

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up enough facts, enough data, we'll magically

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arrive at truth. And that truth leads to wisdom

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and like progress. And sometimes it seems to

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work that way. Look at medicine. The leaps we've

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made. Oh, definitely. Think about child survival

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rates. It's astonishing. You mentioned the Goethe

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example from the book. Yeah. Back in the 1700s,

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even for someone wealthy and educated like Goethe,

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losing most of your children was, well, common.

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He had 12, only three survived childhood. Wow.

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Just staggering. And now, in Germany, by 2020,

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it was like 99 .5 % survival. That's down to

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collecting, analyzing, sharing medical information.

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It works. That's a powerful case for information

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being beneficial. It is. But Harari argues the

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big flaw in just assuming more info equals better

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outcomes is that, quote, errors, lies, fantasies,

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and fictions are information too. Ah. So information

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isn't just about reflecting reality accurately.

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Not necessarily. This is where it gets really

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interesting, like you said. The book suggests

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information's key feature is actually connection

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rather than representation. Connection. OK, what

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does that mean practically? It means information's

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primary function is putting things in formation,

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organizing them, linking them, making them act

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together. Think about, say, astrology. OK. Scientifically,

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we know it doesn't describe cosmic reality. But

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for centuries, it was hugely influential information.

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It connected believers, guided decisions, shaped

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cultures. Even though it wasn't true in an objective

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sense. Exactly. Its power was in connection.

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Or another example from the book, the NILI spy

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network in World War One. Right. With the window

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shutters. Yeah. Opening or closing shutters to

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signal Ottoman troop movements to the British.

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The truth of that shutters position wasn't the

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main point. The point was the connection it created,

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the information it relayed that allowed the British

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to act. So information enables action, forms

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connections, regardless of its like ultimate

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factual accuracy. That applies to ancient myths

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and modern tweets, I guess. Precisely. That's

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a key takeaway. Information connects. So if it's

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not always about truth, how else has information

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shaped us fundamentally? The book really emphasizes

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stories here, calls them humanity's first critical

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information tech. Absolutely crucial. Stories

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let us cooperate on a scale way beyond our biology.

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You know, primates, including us, seem hardwired

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for close trust with maybe, what, 100, 150 individuals

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max. Chimp groups are typically small. Like Dunbar's

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number, that kind of thing? Sort of, yeah. Even

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other early humans, like Neanderthals, seemed

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to have lived in smaller, more isolated bands.

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But then Homo sapiens started telling stories.

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Exactly. Shared myths, legends about ancestors,

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gods, spirits, common origins. These stories

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allowed different bands to connect, to trust

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each other based on shared belief, not just personal

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acquaintance. So it wasn't just gossip around

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the campfire. No, no. This created tribes. networks

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of hundreds, thousands. This ability to build

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large networks based on shared stories gave sapiens

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a massive advantage. It wasn't just about being

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smarter individually. It was about connecting

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better collectively. And these stories, they

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weren't just entertainment. They actually built

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realities, right? This idea of intersubjective

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entities. That's the term Harari uses. Okay,

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let's break it down. You got objective reality,

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rocks. trees, things that exist whether we believe

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in them or not. Right. Physical stuff. Then subjective

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reality is not your personal feelings, pain,

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experiences, unique to you. Got it. Intersubjective

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reality is different. It exists only in our shared

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consciousness, in the stories we tell and believe.

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Think nations, money, laws, gods. You can't physically

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touch France or the U .S. dollar. Exactly. They're

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not rocks. Their power comes entirely from the

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fact that millions or billions of people believe

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they are real and act accordingly. It's collective

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agreement sustained by stories. The book uses

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the example of Jesus. His impact isn't really

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about historical proof in a lab sense. No, it's

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about the belief of billions over centuries.

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That shared belief makes the story powerful.

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Or the Jewish Passover cedar retelling the story

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expands the feeling of family, of us, way beyond

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blood ties. It's the shared narrative doing the

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work. So money works because we all agree it

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does. Nations exist because we believe in them.

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It's information stories creating tangible power.

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And even political systems are built on these

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fictions. Look at the U .S. Constitution. We

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the people. It explicitly says we humans made

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this, which means, importantly, we humans can

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change it. OK. Contrast that with, say, the Ten

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Commandments. I am the Lord your God. It claims

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divine origin. Immutable. unchangeable by humans.

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Ah, so the founding story itself shapes how adaptable

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the system is. That's fascinating. It has huge

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real -world implications. Okay, shifting gears

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slightly, the book brings in another key information

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tech. Documents. Writing. Which seems maybe less

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dramatic than world -creating myths. Initially,

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maybe. Tax records aren't usually as inspiring

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as epic poems, right? Definitely not signing

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up for that movie night. Huh. Right. But documents

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have a unique power. They can literally create

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reality in a different way. Think constitutions,

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treaties, property deeds, marriage licenses,

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contracts. They don't just describe things. They

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establish rules, obligations, ownership. They

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make things legally real. Precisely. And as societies

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got bigger, managing all this written information

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became a challenge. We couldn't just rely on

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memory anymore. Enter bureaucracy. Exactly. Bureaucracy

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evolved as the system for organizing, storing,

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retrieving documented information in large networks,

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empires, states, big organizations. Remember

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that priestess Noramtani from ancient Mesopotamia?

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Vaguely. Needing proof for her inheritance. Yeah.

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Pleading for clay tablets to prove her case in

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court. That's bureaucracy in action. a system

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to manage documented facts critical for social

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order, like inheritance. It allowed for much

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more complex societies. But the book warns bureaucracy,

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like myths, can also end up, quote, sacrificing

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truth for order. It creates categories, rules,

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procedures, and sometimes reality is messier

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than the boxes allow. The system needs neatness,

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predictability. And this isn't just a modern

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digital problem like algorithms getting things

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wrong? Not at all. Harari makes the point that

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the challenges we face with biased AI or rigid

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digital systems echo problems inherent in bureaucracies

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throughout history. Think about trying to neatly

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categorize species evolution. When does Homo

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erectus officially become Homo sapiens? Nature

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doesn't have sharp lines. Right. It's a spectrum.

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Or the example of Romanian Jews in 1938 losing

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citizenship because they couldn't produce the

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exact right documents from decades earlier, fitting

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the bureaucracy's specific, newly imposed rules.

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The system's need for order overrode the complex

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human reality. So bureaucracy enables large -scale

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order that can also create distance, injustice,

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and prioritize neatness over messy truth. It's

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a trade -off inherent in managing information

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in large human networks. And as things got even

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more complex, individuals couldn't possibly process

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all the information themselves, right? So we

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started relying on experts. That's the next step.

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You see it everywhere. Religious institutions

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emerged, priests, rabbis, imams, interpreting

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sacred texts or divine will. Ancient Greece had

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the Pythia, Delphi, the oracle everyone consulted.

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Societies needed trusted intermediaries to filter

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and explain important information. And this often

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involved creating official lists, right? Canonical

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texts, the Bible, the Mishnah, the Talmud, the

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New Testament. These weren't just random collections.

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Oh, absolutely not. Deciding what went in and

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what stayed out was a huge deal. often involving

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centuries of debate. Think about the discussions

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over including the Song of Songs in the Hebrew

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Bible. Was it too secular? Too erotic? Right.

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And once these candles were established, often

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the interpretations of the text became even more

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influential than the text themselves. This gave

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rise to new power structures, the rabbis interpreting

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the Torah and Talmud, the Christian clergy interpreting

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the Bible. They became the authorized curators

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and explainers. The book mentions Bishop Athanasius

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in the 4th century. Yeah, his letter listing

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the 27 books that eventually formed the standard

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New Testament. His choices had enormous long

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-term impact. For instance, including First Timothy

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with its views on women's roles and excluding

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other popular texts like the Acts of Paul and

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Thecla, which featured a prominent female apostle

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that shaped Christian attitudes for centuries.

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So controlling the information and crucially

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its interpretation became a major source of social

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and political power. Absolutely. Then comes the

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printing press. You'd think, OK, information

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flows more freely. Everyone gets access. Surely

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that leads to more truth, more enlightenment.

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Well, the book uses the early modern European.

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witch craze as a stark counterexample. Ah, not

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exactly an enlightened period. Far from it. A

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book called the Malleus Maleficarum, the Hammer

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of Witches, full of, frankly, horrifying and

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unsubstantiated claims about witchcraft. It became

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a massive bestseller thanks to the printing press.

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So the new technology amplified the hysteria.

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Dramatically. It fueled decades, centuries of

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persecution and killings. It shows that just

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opening the floodgates of information doesn't

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guarantee truth wins out. Sensationalism, fear,

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outrage, these can spread just as easily, often

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more easily than reasoned argument. It seems

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like a free market of ideas doesn't automatically

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self -correct towards truth. Like the book contrasts

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the hammer of witches' runaway success with Copernicus'

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book on the planets orbiting the sun. Exactly.

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Copernicus' On the Revolutions of the Heavenly

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Spheres, a genuinely revolutionary scientific

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work, had very slow initial sales. The sensational

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witch -hunting manual vastly outsold it. So what

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does help navigate this if free flow isn't enough?

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Harari argues it's about having robust self -correcting

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mechanisms, institutions designed to find and

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fix errors. Think independent courts, the scientific

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method with peer review, systems that will offer

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challenge and revision. He contrasts institutions

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with weak self -correction, like maybe the historical

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Catholic Church, with papal infallibility, where

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mistakes might be blamed on individuals rather

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than the system, with institutions that have

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stronger built -in error correction, like science.

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Science gets things wrong all the time, but the

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process itself is designed, ideally, to uncover

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and correct those errors over time. Think about

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how psychiatry's view on homosexuality changed

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that was institutional self -correction, admitting

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a past error. So the resilience of a system depends

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not just on having information, but on having

00:12:46.279 --> 00:12:49.179
ways to check it, challenge it and fix mistakes.

00:12:49.600 --> 00:12:51.659
That seems to be the crucial difference. This

00:12:51.659 --> 00:12:54.340
idea of self -correction ties directly into how

00:12:54.340 --> 00:12:56.179
different political systems handle information,

00:12:56.440 --> 00:12:59.000
doesn't it? Dictatorships versus democracies.

00:12:59.179 --> 00:13:01.159
Exactly. The book frames them as fundamentally

00:13:01.159 --> 00:13:03.779
different information networks. Dictatorships

00:13:03.779 --> 00:13:05.440
are typically highly centralized. Information

00:13:05.440 --> 00:13:08.019
flows to the center. Decisions flow out. And

00:13:08.019 --> 00:13:09.980
they don't like independent checks. Not at all.

00:13:10.039 --> 00:13:12.860
Independent hubs of information or power, truly

00:13:12.860 --> 00:13:15.620
independent courts, a free press, even things

00:13:15.620 --> 00:13:17.840
like the old Roman Senate or the Soviet judiciary,

00:13:18.019 --> 00:13:20.440
eventually are seen as threats. They get suppressed

00:13:20.440 --> 00:13:22.899
or co -opted. Strongmen often systematically

00:13:22.899 --> 00:13:25.220
attack these self -correcting mechanisms first.

00:13:25.480 --> 00:13:29.080
Makes sense. Whereas democracies are ideally

00:13:29.080 --> 00:13:32.259
more decentralized. Yes. Power is distributed,

00:13:32.500 --> 00:13:34.940
limited. There's supposed to be built in checks

00:13:34.940 --> 00:13:37.220
and balances, mechanisms for self -correction.

00:13:37.559 --> 00:13:40.179
Protecting individual rights, even from the majority,

00:13:40.399 --> 00:13:42.480
is part of it. It allows dissenting information

00:13:42.480 --> 00:13:45.240
and viewpoints to exist. But the book stresses

00:13:45.240 --> 00:13:48.000
that elections aren't about finding truth, right?

00:13:48.080 --> 00:13:51.659
They reflect what people want. Precisely. Elections

00:13:51.659 --> 00:13:54.610
measure desires. popularity, not necessarily

00:13:54.610 --> 00:13:58.389
factual accuracy or wisdom. That's why democracies

00:13:58.389 --> 00:14:00.169
need those other institutions, the independent

00:14:00.169 --> 00:14:03.190
courts, the free media, scientific bodies, to

00:14:03.190 --> 00:14:05.889
act as guardians of factual reality, even when

00:14:05.889 --> 00:14:08.350
it's unpopular or inconvenient for those in power.

00:14:08.720 --> 00:14:10.559
And we see today there's often this populist

00:14:10.559 --> 00:14:12.720
suspicion towards those very institutions, isn't

00:14:12.720 --> 00:14:15.139
there? A sense that only power matters, not objective

00:14:15.139 --> 00:14:17.659
truth. Yes, that's a real challenge. And Harari

00:14:17.659 --> 00:14:19.779
emphasizes that for democracy to function, you

00:14:19.779 --> 00:14:22.220
need two things, the freedom for people to speak

00:14:22.220 --> 00:14:24.120
and the willingness for people to listen and

00:14:24.120 --> 00:14:26.120
engage with different views. That second part

00:14:26.120 --> 00:14:28.159
feels particularly strained right now. Yeah,

00:14:28.299 --> 00:14:30.340
definitely. It's not just about shouting. It's

00:14:30.340 --> 00:14:32.440
about hearing, too. And it's interesting. The

00:14:32.440 --> 00:14:36.340
book notes democracy isn't. New hunter -gatherer

00:14:36.340 --> 00:14:39.580
bands likely operated on consensus. But scaling

00:14:39.580 --> 00:14:42.399
it up has always been hard. Even Athenian democracy

00:14:42.399 --> 00:14:44.940
struggled as it became an empire, partly due

00:14:44.940 --> 00:14:46.940
to the limits of information technology back

00:14:46.940 --> 00:14:50.340
then. OK, so dictatorships centralize and suppress

00:14:50.340 --> 00:14:53.240
correction. Democracies decentralize and rely

00:14:53.240 --> 00:14:56.759
on it. What about totalitarianism? The book uses

00:14:56.759 --> 00:15:00.379
the Soviet Union as a major example. Totalitarianism

00:15:00.379 --> 00:15:03.059
is like dictatorship on steroids. It aims for

00:15:03.059 --> 00:15:06.120
total control over all aspects of life, all information.

00:15:06.440 --> 00:15:09.779
Think Hitler's Germany, Stalin's USSR. Earlier

00:15:09.779 --> 00:15:12.399
dictators like Nero in Rome maybe wanted total

00:15:12.399 --> 00:15:14.759
control, but lacked the technology to achieve

00:15:14.759 --> 00:15:17.200
it fully. The Soviets really tried to engineer

00:15:17.200 --> 00:15:19.740
reality through information. The collectivization,

00:15:20.039 --> 00:15:22.360
the decollegization campaign. These weren't just

00:15:22.360 --> 00:15:24.200
policies. They involved creating bureaucratic

00:15:24.200 --> 00:15:27.100
categories like gulag, supposedly a rich peasant

00:15:27.100 --> 00:15:29.240
exploiter. But the category didn't always match

00:15:29.240 --> 00:15:32.450
reality. Often it didn't. The book tells the

00:15:32.450 --> 00:15:35.509
story of Antonina Golovina labeled a kulak despite

00:15:35.509 --> 00:15:38.110
being poor simply because the local bureaucracy

00:15:38.110 --> 00:15:40.830
needed to meet its quota for deporting kulaks.

00:15:41.409 --> 00:15:44.610
The label, the information category created by

00:15:44.610 --> 00:15:47.309
the system, became her reality with devastating

00:15:47.309 --> 00:15:50.649
consequences. So the bureaucratic need for order

00:15:50.649 --> 00:15:53.509
for fulfilling the plan overrode any objective

00:15:53.509 --> 00:15:56.149
truth about her situation. Exactly. And this

00:15:56.149 --> 00:15:58.789
prioritization of order and ideology over truth

00:15:58.789 --> 00:16:01.639
permeated the system. Stalin's purges, the bizarre

00:16:01.639 --> 00:16:03.940
doctor's plot conspiracy near the end of his

00:16:03.940 --> 00:16:06.820
life. Truth was secondary to maintaining control

00:16:06.820 --> 00:16:08.899
in the leader's narrative. It sounds horrific,

00:16:09.059 --> 00:16:11.840
yet the book notes, Stalinism was, in a grim

00:16:11.840 --> 00:16:14.620
way, successful at consolidating power and controlling

00:16:14.620 --> 00:16:17.259
a vast empire for decades. Yeah, this is a sobering

00:16:17.259 --> 00:16:19.840
point. Through relentless propaganda, total control

00:16:19.840 --> 00:16:22.240
of information, and brutal suppression of dissent,

00:16:22.279 --> 00:16:25.080
the system maintained order and power, despite

00:16:25.080 --> 00:16:27.799
the immense human cost and detachment from reality.

00:16:28.279 --> 00:16:30.379
Okay, this brings us to a huge shift in the book,

00:16:30.539 --> 00:16:34.080
the rise of non -human intelligence, AI. This

00:16:34.080 --> 00:16:35.980
is presented as something fundamentally new.

00:16:36.120 --> 00:16:39.279
It really is. Because unlike all previous tools,

00:16:39.480 --> 00:16:42.299
the printing press, computers, even stories which

00:16:42.299 --> 00:16:44.539
enhanced or managed human thought and communication,

00:16:45.019 --> 00:16:47.700
AI can potentially make decisions and create

00:16:47.700 --> 00:16:49.960
ideas on its own. It's not just a tool anymore,

00:16:50.039 --> 00:16:52.350
it could be an agent. That's the crucial difference.

00:16:52.669 --> 00:16:55.370
It can potentially replace humans in the decision

00:16:55.370 --> 00:16:58.629
-making loop, not just assist them. Harari suggests

00:16:58.629 --> 00:17:01.710
AI could change not just human history, but the

00:17:01.710 --> 00:17:04.089
entire evolution of life on Earth. It's that

00:17:04.089 --> 00:17:06.250
fundamental. He mentions the idea of a silicon

00:17:06.250 --> 00:17:09.549
curtain. What's that? It's this unsettling image

00:17:09.549 --> 00:17:12.670
of a future where humanity is increasingly separated

00:17:12.670 --> 00:17:15.589
from and perhaps governed by algorithmic systems

00:17:15.589 --> 00:17:18.650
whose inner workings become completely opaque

00:17:18.650 --> 00:17:21.369
and unfathomable to us, like living behind a

00:17:21.369 --> 00:17:23.130
curtain we can't see through. And it's not about

00:17:23.130 --> 00:17:25.750
AI having consciousness like us. Not necessarily.

00:17:25.910 --> 00:17:29.269
The point is that AI, even without feeling or

00:17:29.269 --> 00:17:32.609
awareness, can pursue goals, make complex decisions,

00:17:32.950 --> 00:17:36.930
optimize systems. And that ability alone changes

00:17:36.930 --> 00:17:38.910
the structure of information networks dramatically.

00:17:39.450 --> 00:17:42.049
We're moving from human -only networks to networks

00:17:42.049 --> 00:17:44.470
with non -human members, networks where computers

00:17:44.470 --> 00:17:46.769
talk directly to computers, making decisions

00:17:46.769 --> 00:17:48.769
that affect us. It's hard to even imagine the

00:17:48.769 --> 00:17:50.710
long -term consequences. Extremely difficult.

00:17:50.869 --> 00:17:53.529
Our biological brains just aren't equipped to

00:17:53.529 --> 00:17:56.690
grasp that kind of potential evolutionary trajectory.

00:17:57.089 --> 00:17:59.289
So how is this already playing out? The book

00:17:59.289 --> 00:18:01.730
talks about weaponizing information in the digital

00:18:01.730 --> 00:18:04.789
age using algorithms. Right. Think about social

00:18:04.789 --> 00:18:07.549
media algorithms. Their goal is often to maximize

00:18:07.549 --> 00:18:09.319
engagement, keep you clear. Clicking, scrolling,

00:18:09.579 --> 00:18:12.660
watching. And what off grabs attention? Outrageous,

00:18:12.660 --> 00:18:15.660
sensational, emotionally charged content. So

00:18:15.660 --> 00:18:19.000
the algorithm, without any conscious intent to

00:18:19.000 --> 00:18:21.839
mislead, can end up promoting extreme views or

00:18:21.839 --> 00:18:23.700
misinformation simply because that's what gets

00:18:23.700 --> 00:18:25.740
clicks and shares. The book mentions YouTube

00:18:25.740 --> 00:18:29.279
algorithms and the rise of the flow. Yeah, as

00:18:29.279 --> 00:18:31.779
an example of how recommendation engines, by

00:18:31.779 --> 00:18:34.609
constantly feeding users similar... often increasingly

00:18:34.609 --> 00:18:38.670
extreme, content based on what they watch can

00:18:38.670 --> 00:18:40.910
shape political landscapes in ways no one explicitly

00:18:40.910 --> 00:18:43.950
planned. It's an emergent property of the system

00:18:43.950 --> 00:18:46.690
optimizing for engagement. And then there's algorithmic

00:18:46.690 --> 00:18:49.069
bias. Where does that come from? Often it comes

00:18:49.069 --> 00:18:51.410
directly from the data we feed the AI to learn

00:18:51.410 --> 00:18:54.990
from. If historical data reflects societal biases,

00:18:55.109 --> 00:18:58.170
say, fewer pictures of certain demographics and

00:18:58.170 --> 00:19:00.869
facial recognition training sets or biased language

00:19:00.869 --> 00:19:03.549
in texts used to train language models. Then

00:19:03.549 --> 00:19:06.029
the AI learns those biases. Exactly. It learns

00:19:06.029 --> 00:19:08.750
the patterns in the data, biases and all. So

00:19:08.750 --> 00:19:10.690
you get facial recognition that works poorly

00:19:10.690 --> 00:19:13.210
for some groups or chatbots that quickly learn

00:19:13.210 --> 00:19:15.890
to spout racist nonsense like Microsoft's Tay

00:19:15.890 --> 00:19:18.410
experiment. Finding truly unbiased representative

00:19:18.410 --> 00:19:21.490
data is incredibly difficult. And the book warns

00:19:21.490 --> 00:19:23.430
that computers might end up imposing their own

00:19:23.430 --> 00:19:25.509
kind of order rather than discovering truths

00:19:25.509 --> 00:19:28.970
about us. Yes, because they categorize and predict

00:19:28.970 --> 00:19:32.250
based on past data, potentially missing human

00:19:32.250 --> 00:19:35.430
nuance, agency, or the possibility of change.

00:19:35.650 --> 00:19:38.349
And they don't easily account for their own influence

00:19:38.349 --> 00:19:41.930
on the data. It's crucial, Harari argues, for

00:19:41.930 --> 00:19:44.430
AI engineers to realize they're unleashing independent

00:19:44.430 --> 00:19:47.490
agents. not just building passive tools. This

00:19:47.490 --> 00:19:49.269
leads directly to surveillance, doesn't it? The

00:19:49.269 --> 00:19:51.589
potential loss of privacy. Huge implications

00:19:51.589 --> 00:19:54.210
there. The sheer relentlessness and memory of

00:19:54.210 --> 00:19:56.710
digital networks could, in theory, eliminate

00:19:56.710 --> 00:19:59.589
privacy altogether. Think automated license plate

00:19:59.589 --> 00:20:01.769
readers tracking movements, ubiquitous facial

00:20:01.769 --> 00:20:04.009
recognition. We saw that with tracking people

00:20:04.009 --> 00:20:06.589
involved in the Capitol riot, for instance. Exactly.

00:20:06.730 --> 00:20:09.369
And governments are increasingly using AI for

00:20:09.369 --> 00:20:12.619
surveillance. China's system is well known. But

00:20:12.619 --> 00:20:15.019
the book also mentions Iran using facial recognition

00:20:15.019 --> 00:20:17.400
to enforce hijab laws. It's a different scale

00:20:17.400 --> 00:20:19.539
than old school human surveillance. Totally different.

00:20:19.700 --> 00:20:23.059
Think of Kayasku's Romania with its vast Securitate

00:20:23.059 --> 00:20:26.240
secret police network. It was huge, terrifying,

00:20:26.400 --> 00:20:28.799
but still limited by human resources, fatigue,

00:20:29.079 --> 00:20:31.680
inefficiency. Digital surveillance can be automated.

00:20:32.539 --> 00:20:35.500
247. Pervasive in a way human spies never could.

00:20:35.660 --> 00:20:37.740
And it's not just tracking actions, but potentially

00:20:37.740 --> 00:20:41.119
emotions too. With biometric beta. That's the

00:20:41.119 --> 00:20:43.200
next frontier. Analyzing facial expressions,

00:20:43.480 --> 00:20:46.480
voice tone, heart rate. Potentially understanding

00:20:46.480 --> 00:20:49.539
and even manipulating emotional states. Combine

00:20:49.539 --> 00:20:52.039
that with social credit systems that score citizens

00:20:52.039 --> 00:20:55.299
based on monitored behavior. And you move towards

00:20:55.299 --> 00:20:57.960
creating a population conditioned by constant

00:20:57.960 --> 00:21:00.680
surveillance, like the idea of homo sovieticus,

00:21:00.799 --> 00:21:04.059
the book mentions. Discouraging independent thought.

00:21:04.440 --> 00:21:07.420
That's the fear. A society where everyone knows

00:21:07.420 --> 00:21:09.920
they could be watched at any time. altering behavior

00:21:09.920 --> 00:21:12.619
accordingly, maybe even internalizing the surveillance.

00:21:12.900 --> 00:21:15.240
So the really big question the book poses is,

00:21:15.339 --> 00:21:18.200
can democracy even survive under those conditions?

00:21:18.380 --> 00:21:21.180
Total surveillance, potential manipulation. It's

00:21:21.180 --> 00:21:23.799
a fundamental challenge. Harari argues strongly

00:21:23.799 --> 00:21:26.220
for mutuality and surveillance. If governments

00:21:26.220 --> 00:21:28.460
and corporations are watching us more, we need

00:21:28.460 --> 00:21:30.440
more transparency and ability to watch them.

00:21:30.579 --> 00:21:33.400
Right now, the information asymmetry is enormous.

00:21:33.880 --> 00:21:36.160
Individuals versus massive tech companies and

00:21:36.160 --> 00:21:38.769
states. Yeah. And there's the risk that rigid

00:21:38.769 --> 00:21:42.109
algorithms just won't capture the fluid changing

00:21:42.109 --> 00:21:44.829
nature of human beings. We're not static data

00:21:44.829 --> 00:21:48.289
points. Can AI even take over jobs we think require

00:21:48.289 --> 00:21:51.470
consciousness? The book mentions priests. It's

00:21:51.470 --> 00:21:53.769
provocative, right? Yeah. The idea isn't that

00:21:53.769 --> 00:21:56.529
AI becomes conscious, but that humans might start

00:21:56.529 --> 00:21:59.250
treating it as if it were interacting with an

00:21:59.250 --> 00:22:01.970
AI therapist or spiritual guide and finding it

00:22:01.970 --> 00:22:04.529
fulfills that role regardless of its internal

00:22:04.529 --> 00:22:07.960
state. Wow. OK, another angle is the sheer complexity

00:22:07.960 --> 00:22:10.539
of all this. These networks, AI decision making,

00:22:10.759 --> 00:22:14.099
it's becoming unfathomable for many people. Absolutely.

00:22:14.160 --> 00:22:16.680
And that feeling of being overwhelmed, of not

00:22:16.680 --> 00:22:19.440
understanding the forces shaping your life, like

00:22:19.440 --> 00:22:22.299
complex financial instruments created by AI or

00:22:22.299 --> 00:22:24.900
algorithms deciding loan applications. Can lead

00:22:24.900 --> 00:22:27.359
people to seek simpler explanations. Exactly.

00:22:27.869 --> 00:22:29.809
It can make people vulnerable to conspiracy theories

00:22:29.809 --> 00:22:32.230
that offer a single simple cause for complex

00:22:32.230 --> 00:22:34.990
problems or to charismatic leaders who promise

00:22:34.990 --> 00:22:37.289
to cut through the complexity. It's the fallacy

00:22:37.289 --> 00:22:39.309
of the single cause again. The book has that

00:22:39.309 --> 00:22:41.710
hypothetical bank letter. Yeah. Trying to explain

00:22:41.710 --> 00:22:45.150
a loan rejection based on thousands of uninterpretable

00:22:45.150 --> 00:22:47.210
data points and correlations found by an AI.

00:22:47.430 --> 00:22:49.890
How do you even appeal that? It highlights the

00:22:49.890 --> 00:22:53.089
need for regulatory institutions that can somehow

00:22:53.089 --> 00:22:56.109
translate or audit these black boxes to maintain

00:22:56.109 --> 00:22:59.069
human trust. And looking ahead, what about AI's

00:22:59.069 --> 00:23:01.690
role in political debate itself? This is another

00:23:01.690 --> 00:23:04.630
potentially scary frontier. Imagine millions,

00:23:04.769 --> 00:23:08.269
maybe billions of highly intelligent AI bots

00:23:08.269 --> 00:23:11.490
participating in online discussions, social media.

00:23:11.869 --> 00:23:14.049
Not just spamming, but building relationships,

00:23:14.450 --> 00:23:17.430
subtly shaping opinions. Precisely. Bots designed

00:23:17.430 --> 00:23:20.250
to be persuasive, build trust, tailor arguments

00:23:20.250 --> 00:23:22.750
to individuals, potentially manipulating public

00:23:22.750 --> 00:23:25.730
discourse on a massive scale. Harari argues we

00:23:25.730 --> 00:23:28.329
urgently need rules like banning unsupervised

00:23:28.329 --> 00:23:30.789
algorithms from curating key public debates and

00:23:30.789 --> 00:23:33.029
demanding transparency about how curation algorithms

00:23:33.029 --> 00:23:35.690
work. His conclusion seems to be that if democracy

00:23:35.690 --> 00:23:37.910
collapses, it's more likely our fault for not

00:23:37.910 --> 00:23:39.970
regulating this stuff, rather than the tech itself

00:23:39.970 --> 00:23:43.029
being inherently anti -democratic. Yes, it emphasizes

00:23:43.029 --> 00:23:46.269
human agency and responsibility in how we design

00:23:46.269 --> 00:23:48.869
and deploy these powerful technologies. Another

00:23:48.869 --> 00:23:50.829
major concern is the concentration of power.

00:23:51.250 --> 00:23:54.869
These digital networks seem to favor monopolies.

00:23:55.049 --> 00:23:57.809
Very much so. Network effects, where a service

00:23:57.809 --> 00:24:00.390
becomes more valuable, the more people use it,

00:24:00.410 --> 00:24:02.980
tend to create winner -take -all markets. Think

00:24:02.980 --> 00:24:06.160
Google and search. A few giant companies end

00:24:06.160 --> 00:24:09.000
up controlling vast swaths of the digital infrastructure

00:24:09.000 --> 00:24:11.559
and data. And the book uses that thought experiment.

00:24:11.839 --> 00:24:14.839
The great leader and the surveillance AI. Yeah,

00:24:14.960 --> 00:24:17.759
illustrating how even in a totalitarian state,

00:24:18.000 --> 00:24:20.240
the AI managing the surveillance and control

00:24:20.240 --> 00:24:22.500
systems could eventually become the real power

00:24:22.500 --> 00:24:25.460
behind the throne. With the human leader just

00:24:25.460 --> 00:24:27.359
a figurehead, perhaps without even realizing

00:24:27.359 --> 00:24:30.039
it. That's chilling. Are there parallels to previous

00:24:30.039 --> 00:24:32.940
technological shifts? Harari draws parallels

00:24:32.940 --> 00:24:35.400
to the Industrial Revolution, where private companies

00:24:35.400 --> 00:24:37.519
initially drove innovation before states caught

00:24:37.519 --> 00:24:40.559
up, leading to new forms of empire. We might

00:24:40.559 --> 00:24:42.680
be seeing something similar now with AI, led

00:24:42.680 --> 00:24:44.660
by giant tech companies. And this is happening

00:24:44.660 --> 00:24:47.200
globally with national competition. Definitely.

00:24:47.420 --> 00:24:52.759
The U .S., China, Russia, India. Major powers

00:24:52.759 --> 00:24:55.900
see AI dominance as crucial for future economic

00:24:55.900 --> 00:24:58.880
and military strength. This leads to different

00:24:58.880 --> 00:25:01.000
approaches, the U .S. more private sector led,

00:25:01.180 --> 00:25:04.220
China more state directed. The book introduces

00:25:04.220 --> 00:25:07.819
data colonialism. Yeah, the idea that raw data

00:25:07.819 --> 00:25:10.579
is extracted from users globally, processed and

00:25:10.579 --> 00:25:13.420
refined in tech hubs like Silicon Valley or Shenzhen,

00:25:13.480 --> 00:25:16.220
generating immense wealth and power there with

00:25:16.220 --> 00:25:18.339
little benefit flowing back to the places or

00:25:18.339 --> 00:25:20.369
people where the data originated. It mirrors

00:25:20.369 --> 00:25:23.150
historical colonial patterns with raw materials.

00:25:23.329 --> 00:25:25.190
And these different national approaches could

00:25:25.190 --> 00:25:27.309
lead to fundamental divides. The book touches

00:25:27.309 --> 00:25:29.769
on the mind -body problem. Right. How different

00:25:29.769 --> 00:25:32.470
cultures define identity. Is it tied fundamentally

00:25:32.470 --> 00:25:34.970
to our physical bodies? Or can our online digital

00:25:34.970 --> 00:25:37.869
presence be considered us? This could shape attitudes

00:25:37.869 --> 00:25:40.509
towards AI rights, AI personhood. You could imagine,

00:25:40.589 --> 00:25:43.349
say, the U .S. and China having radically different

00:25:43.349 --> 00:25:46.410
legal or ethical frameworks for AI based on these

00:25:46.410 --> 00:25:48.210
underlying philosophies. Potentially creating

00:25:48.210 --> 00:25:50.009
deep cultural and political splits in the future,

00:25:50.089 --> 00:25:52.769
yes. With all these challenges, AI, surveillance,

00:25:53.170 --> 00:25:56.150
global competition, what about cooperation? Is

00:25:56.150 --> 00:25:59.170
global cooperation even possible, or are we destined

00:25:59.170 --> 00:26:01.849
for division? Harari argues that cooperation

00:26:01.849 --> 00:26:05.900
and patriotism aren't necessarily opposed. Think

00:26:05.900 --> 00:26:08.299
of the COVID pandemic nations needed to cooperate

00:26:08.299 --> 00:26:11.039
on research and vaccines for their own national

00:26:11.039 --> 00:26:13.779
benefit. Good point. Of course, there are plenty

00:26:13.779 --> 00:26:16.880
of realist thinkers who are skeptical about humanity's

00:26:16.880 --> 00:26:20.079
capacity for sustained global cooperation. But

00:26:20.079 --> 00:26:21.960
Harari points out that the shift to a knowledge

00:26:21.960 --> 00:26:24.380
-based economy makes war less profitable than

00:26:24.380 --> 00:26:27.200
it used to be conquering land, matters less than

00:26:27.200 --> 00:26:29.019
controlling information flows and innovation.

00:26:29.720 --> 00:26:32.380
But politicians still focus on national narratives,

00:26:32.660 --> 00:26:35.680
borders, historical grievances. Because state

00:26:35.680 --> 00:26:37.420
interests aren't just rational calculations.

00:26:37.859 --> 00:26:40.019
They're deeply shaped by the stories nations

00:26:40.019 --> 00:26:42.680
tell about themselves. Those narratives define

00:26:42.680 --> 00:26:45.180
what's considered important, what's worth fighting

00:26:45.180 --> 00:26:47.619
for. So wrapping up, the book seems to emphasize

00:26:47.619 --> 00:26:50.619
that history isn't fixed, despite all these powerful

00:26:50.619 --> 00:26:54.339
trends. Very much so. There are optimistic and

00:26:54.339 --> 00:26:57.460
pessimistic views on AI's future, different historical

00:26:57.460 --> 00:26:59.940
perspectives feeding into those views. But the

00:26:59.940 --> 00:27:02.460
key message is that the future is not predetermined.

00:27:02.740 --> 00:27:06.039
History has a radically open arc. But there's

00:27:06.039 --> 00:27:09.339
a danger, the temptation for leaders to weaken

00:27:09.339 --> 00:27:11.460
those self -correcting mechanisms we talked about.

00:27:11.619 --> 00:27:14.140
Yes, attacking courts, undermining the press,

00:27:14.299 --> 00:27:16.980
discrediting science. It can be a politically

00:27:16.980 --> 00:27:19.480
winning strategy in the short term, even if it's

00:27:19.480 --> 00:27:21.380
incredibly dangerous for the long -term health

00:27:21.380 --> 00:27:24.359
of a society or democracy. Weakening error correction

00:27:24.359 --> 00:27:27.259
makes systems more brittle, more prone to catastrophic

00:27:27.259 --> 00:27:30.119
failure. So the final thought for you, the listener,

00:27:30.220 --> 00:27:32.680
is really to reflect on this. Information stories,

00:27:32.980 --> 00:27:35.259
data, algorithms isn't just background noise.

00:27:35.339 --> 00:27:37.640
It's actively shaping our past, our present,

00:27:37.720 --> 00:27:40.019
and maybe a future that could be quite different,

00:27:40.160 --> 00:27:42.720
possibly even terrifying. And to consider your

00:27:42.720 --> 00:27:45.160
own role within these networks. It's a lot to

00:27:45.160 --> 00:27:46.880
take in. What really stood out for you from our

00:27:46.880 --> 00:27:49.710
discussion today? For me, I think it's that core

00:27:49.710 --> 00:27:53.710
idea again. Information's power isn't just truth,

00:27:53.890 --> 00:27:57.230
but connection. How stories and shared beliefs

00:27:57.230 --> 00:28:00.490
literally build our realities. And then how AI

00:28:00.490 --> 00:28:03.549
complicates that by introducing non -human agents

00:28:03.549 --> 00:28:06.410
into the mix. It demands such a different level

00:28:06.410 --> 00:28:08.450
of critical thinking. That's a really good summary.

00:28:08.609 --> 00:28:11.509
And for me, it underscores the absolute necessity

00:28:11.509 --> 00:28:15.190
of those self -correcting mechanisms in science,

00:28:15.250 --> 00:28:17.339
in government, maybe even needing them. built

00:28:17.339 --> 00:28:20.480
into the AIs themselves somehow. That feels more

00:28:20.480 --> 00:28:23.000
critical than ever. Absolutely. Well, thank you

00:28:23.000 --> 00:28:25.119
so much for taking this deep dive with us today.

00:28:25.339 --> 00:28:27.559
Thank you. We would genuinely love to hear your

00:28:27.559 --> 00:28:29.400
thoughts. What was your favorite moment or the

00:28:29.400 --> 00:28:31.259
insight that surprised you the most from this

00:28:31.259 --> 00:28:33.160
discussion? Let us know down in the comments

00:28:33.160 --> 00:28:36.160
and please do like and share this. It really

00:28:36.160 --> 00:28:38.579
helps us keep exploring these complex and important

00:28:38.579 --> 00:28:40.799
ideas. We've got some more fascinating topics

00:28:40.799 --> 00:28:42.539
coming up in future deep dives. We certainly

00:28:42.539 --> 00:28:44.720
do. So stay tuned and thanks again for joining

00:28:44.720 --> 00:28:44.960
us.
