Navigated to TikTok Conspiracy (Part Two) - Transcript

TikTok Conspiracy (Part Two)

Episode Transcript

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Previously on Red Pilled.

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America, Politicians have been debating whether to block the social media behemoth TikTok.

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Five Dance, the parent company of TikTok.

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They must divest themselves with.

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This the bill poses a significant risk of being Patriot Act two point zero.

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The CCP is using TikTok as a spyware tool.

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The social media players, including Facebook, giving them tons of money to bantiktom.

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For the first time ever, the US government took a direct action that could lead to the takedown of a major social media platform.

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Umen would launch one of the most disruptive technology companies in history ymen was.

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Building an extraordinarily powerful recommendation engine.

A new creator economy was forming.

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We are on the eve of a content explosion.

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I'm Patrick Carelci and I'm Adriana Cortes.

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And this is Red Pilled America, a storytelling show.

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This is not another talk show covering the day's news.

We're all about telling stories.

Speaker 1

Stories.

Hollywood doesn't want you to hear stories.

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The media mocks stories about everyday Americans at the globalist ignore.

Speaker 1

You can think of Red Pilled America as audio documentaries, and we promise only one thing, the truth.

Welcome to Red Pill America.

We're at part two of our series of episodes entitled TikTok Conspiracy.

If you haven't heard part one, stop and go back and listen from the beginning.

We're looking for the answer to the questions what is a conspiracy theory and why have they become so common by telling the story of how TikTok was pushed to the brink of banishment in America.

So to pick up where we left off.

By twenty sixteen, pressure was building on Jiang Yi Ming, the Chinese founder of ByteDance.

His news Aptotiau exploded into popularity in China, reaching five hundred and fifty million users, but the success made him a target.

One of the big three Chinese tech firms, Tencent floated the idea of purchasing his company.

Yi Ming wanted to go it alone, and that was a problem.

If he didn't take the deal, his company would become a target of the kartel that dominated the Chinese tech industry.

Most would have given in, but Yi Ming had a secret weapon, the same weapon that propelled his news app to prominence.

His team had been developing an incredible recommendation algorithm powered by artificial intelligence.

His algorithm captured all the likes and dislikes of its users and then used that data to create a machine that delivered exactly what each user wanted.

But it wasn't just his AI machine that gave him a fighting chance.

Yiming also had another critical insight.

His Totiyau news app had been registering an extraordinary demand for videos.

From twenty fifteen to twenty sixteen, video views exploded by a reported six hundred and five percent to roughly one point three billion views per month.

So to expand the company and prepare for the coming war with China's tech cartel Yiming, decided to create a video sharing app that could go global, and that timing couldn't have been better because China was about to embark work on a digital arms race that would put the world on notice.

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It was March ninth, twenty sixteen, when Google woke the sleeping giant.

The Silicon Valley company had developed an artificial intelligence program that mastered a four thousand year old Chinese game.

They called their algorithm Alpha Go, and it delivered a direct blow to the ego of the Chinese Communist Party.

Games have long served as benchmarks and the evolution of artificial intelligence.

They provide clear rules and objectives, making them ideal for testing the capabilities of AI algorithms.

Over the decades, computer scientists have used games like backamm and checkers and chess to measure the progress of AI systems, pushing them to compete against the best human players in the world.

In nineteen ninety seven, IBM's supercomputer Deep Blue defeated world chess champion Gary Kasparov.

It marked the first time a computer program defeated a reigning world champion in a sanctioned chess match.

It was an extraordinary feat, but AI developers considered it only a stepping stone to the real test, that being the Chinese game of Go.

A computer mastering Go would mark a monumental leap in the development of AI.

For one simple reason.

Go is the most complex board game in human history.

Go or Paduke, as it's known in some locales, is played on a large board with a grid of lines like a graph paper, typically nineteen by nineteen.

Two players take turns placing black and white stones on the grid intersections.

The objective of the game is to surround more territory than one's opponent.

Despite its simple rules, Go is known for its strategic complexity.

Unlike Chess, where the average number of possible moves is about twenty, Go offers approximately two hundred possible moves at any given position, making the strategic depth exponentially greater.

Take, for example, the nineteen ninety seven match between IBM's Deep Blue and Casparov.

Deep Blue was designed to figure out the roughly twenty potential chess moves through brute force calculations.

Then, like the branches of a family tree, for each of those twenty moves, it would calculate the next possible twenty moves, and so on and so on, going several layers forward in search of the move that would give it the best long term odds of winning.

By contrast, the problem with Go is that there are on average two hundred possible moves for any given position.

In other words, there are far more possibilities in Go than in chess.

To put it another way, the number of possible configurations in the game of Go is more than the number of atoms thought to be in the universe.

So an algorithm that uses a brute force calculation method just wouldn't work for Go because there are too many possibilities to efficiently calculate.

To play Go, artificial intelligence would need to think, so it could eliminate most of the unnecessary calculations.

The AI would need to effectively have intuition, and that would mean a paradigm shift in the way artificial intelligence worked.

So experts believed that getting AI algorithms to master Go was a far off dream.

That is until Google created the AI program Alpha Go.

Alpha Go marked a shift from brute force calculations to machine learning, a method that enables the AI to develop a form of intuition by training computer neural networks with thousands of human played Go games, Alpha Go learned to evaluate positions and predict the most promising moves, much like a human player develops a fuel for a game.

They further inher anst AlphaGo by allowing the AI to play millions of games against itself, refining its strategies through reinforcement learning, a method first popularized in the nineteen eighty three science fiction movie War Games.

Speaker 9

Tich so thick numb.

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There's no way you win that game.

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I know that it doesn't.

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It hasn't learned.

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Is there not going to make it play itself?

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Yes?

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Number players zero.

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And the extraordinary thing was the flexibility of Google's AI.

Deep Blue was a chess master that was as dumb as a brick when facing any other game.

However, Google's AI, if given time and the right data, could learn to master practically any game played by humans.

All you had to do was give the algorithm a goal like acquire the most territory, eliminate all of the blocks, accumulate the highest score.

Just give it a concrete goal, and Google's AI algorithm could play the game millions of times to figure out the best strategy.

The concept of machine learning was a giant leap in the development of AI, but it still had to be put to the ultimate test of beating a human Go champion.

Google's AI team developed their Alpha Go algorithm in a little under two years, and by the end of twenty fifteen they believed it was ready for prime time.

So in early twenty sixteen, Google challenged South Korean Go champion Lisadol to a five game match, and it became international news.

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Well, we're all familiar with chess playing computers.

Deep Blue famously beat Gary Gasparov twenty years ago, but the ancient game of Go, which is known as Padug in Korea, is considered a more significant challenge for artificial intelligence because the overwhelming complexity makes it an intuitive game.

A new program has beat that challenge, and a huge match of Go or Padug is expected to take place between the world's longtime Padu grad mass You're Human and Alpha Go, a computer program developed by Google.

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With eighteen international championships under his belt.

Lisidal was the Novak Djokovic of Go.

The Chinese Communist Party's media arm covered the Western world's infiltration into their game, and they expressed a sense of doubt that Google's AI had the power to master Go.

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Alpha Go is fundamentally different from Deep Blue.

Deep Blue played chess, and chess is much less complex than Go on a geometric scale.

Back then, Deep Blue basically used brute force methods calculating all possible moves.

Yes, it calculated everything as it had incredible processing speed.

But with Go you can't use brute force methods because the number of possible moves is astronomical, so it can't use brute force methods.

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Few believed the algorithm had a chance against the Korean champion.

Even Google's team thought their odds of winning was a coin toss.

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Up until now, the ancient game of Go or poduk has been singled out as a board game that computers couldn't crack due to its complexity, but this belief may soon change.

US tech giant Google says its computer has a fifty to fifty chance to be some of the strongest part of players in the world when we quit with an artificial intelligence program called Alpha Go, developed by Google's London based company deep Mind.

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The head of deep Mind spoke about why they initiated the Go challenge.

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The problem is this is why we want to have this match is we need to see if there are any weaknesses we don't know about.

So of course we've tried to fix weaknesses that we know, but there may be something that our systems don't do that brilliant players like Lisudol can create.

Speaker 12

Google says.

Alpha Go is trained to learn like a human being by observing others play and repeatedly predicting the outcome of each game, as well as by using its instincts to make the best move in uncharted situations.

This gut instinct is what makes Alpha Goo more advanced compared to previous software programs, including IBM's chest supercomputer Deep Blue.

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The best of five match was held in Soul, Korea between March ninth and March fifteenth, twenty sixteen, and it became a spectacle throughout East Asia, especially China.

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The winning side will be awarded a million US dollars as price money.

But whatever the outcome, one thing's for sure is that the upcoming match will be a milestone and the development of artificial intelligence.

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Lisadel agreed to the match thinking he'd go undefeated against the computer, but after the algorithm was explained to him, his confidence waned.

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I thought that it would be a bit difficult for a computer's artificial intelligence to catch up with human intuition in such senses.

So I said I was confident, But after hearing the explanation of the algorithm this time, I feel that intuition can be somewhat mimicked.

Therefore, I don't think there will be as big a difference as I mentioned before.

So I think I need to be a bit more cautious.

I now think that the likelihood of it being five to zero is lower.

Of course, I could lose to the computer.

However, since the computer doesn't understand or play based on the beauty of go or human beauty, I believe the value of Go will continue in this game.

I will do my best to protect that human element.

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The match was televised from the Four Seasons Hotel and Seoul, and tens of millions of people tuned in.

It was broadcast in China as well, who watched an anxious anticipation to see if their ancient game could be mastered by a Western computer.

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Good afternoon, I am today's referee.

The match will be in Chinese rules.

Please start the game.

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As the first match progressed, it wasn't clear whether the human or the machine had the upper hand.

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Might have some potential in that course, some potential in this corner as you show you forty points with one more move, but other than.

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That, hether that point doesn't have anything yet.

It's looking like Black has some potential at this point.

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But after nearly three and a half hours, Lisa was exhausted, the algorithm drew the first blood.

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You're pretty comfortable calling it for Alpha Go though.

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Yeah, Alpha Go one, Okay, Lisa resigned.

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A computer program has just beaten the nine professional.

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Happened once, is probably gonna happen again.

Now, this is a big surprise.

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The win rocked not only Go enthusiast and the tech community, but China as well, because you see, to the Chinese, Go is more than just a fun game.

It is deeply embedded in their culture.

Chinese folklore tracks the creation of Go back to twenty three hundred BC.

As the story goes, Chinese Emperor Yao is thought to have created the game to teach his son concentration, discipline, and strategic thinking.

This ancient game has been used by Chinese citizens to pass down the art of strategy from generation to generation.

With Google's Alpha Go defeating Lisadal in the first match, it signaled a new threat to China.

There's a strategy teaching tool had now been mastered by the Western world.

But as China media covered the event, they weren't yet ready to admit that Google's AI had conquered their ancient game.

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See so, if you had to make a prediction now, with four more games to go, who do you think will win in the end?

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I still think Lisadol will make a comeback.

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So you think Lisadol was just testing the waters yesterday to see what was going on.

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I feel like his initial play style was different from his usual style.

He was constantly probing Alpha Go.

So my guess is, if I had to predict, the final outcome might be a three to two comeback.

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But as the best of five match progressed, the alarm bells woke the sleeping giant Jendal.

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The battle between human intelligence and artificial intelligence enters the second round.

The South Korean Go champion Lisadall, who lost the first round, looks tense, resting his right hand on his cheek, hesitating.

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And it was during the second round that Alpha Go displayed a level of creativity that baffled the experts.

Of the game.

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That's a very that's a very surprising move.

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I thought was that it was a mistake.

Lee has left the room.

Speaker 14

He left the room, left the room after that move.

Speaker 13

Uh huh.

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He had to go and watch his face or something just to recover from it.

It's a very surprising.

Speaker 13

It's a surprising move.

I think we've seen an original move here, and so that's tremendously excited what I.

Speaker 14

Was doing before.

I don't really know if it's a good or bad move at this point that by.

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The time the second match was over, Alpha Go's surprising move would turn out to be a stroke of genius because it put Lisa Daal on the defense for the rest of the game.

Alpha Go would eventually take match two as well.

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Shocking Chinese media jungle artificial intelligence Alpha Go has caused Lee Seidong, who holds eighteen Go World Championship titles, to lose two consecutive games.

International Go masters are filled with a sense of crisis.

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After the win, the Google Ai team leader's excitement left him at a loss for words.

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Well, I think a bit speechless.

Actually, it was a really amazing game today, unbelievably exciting and incredibly tense all the way through.

We're very pleased also that Alpha Go played some quite surprising and quite beautiful moves according to the commentators, which was pretty amazing to see.

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Alpha Go would take game three as well.

It wasn't until game four that Lisadol finally secured a win.

Speaker 14

Oh, looks like Alpha Goo has resigned.

Speaker 4

Wow.

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But by the time the match was finished, it was clear who was the dominant player.

Speaker 13

I wonder if we have a resignation here.

Speaker 14

It could be that Lisa always resigned.

Speaker 13

Getting word Lee has resigned.

Big congratulations, I think too.

Once again to the to the Alpha Go team.

With the final result of for one four wins for Alpha Goo, a very impressive.

Speaker 3

Google's artificial intelligence crushed the human go champion.

The writing was on the wall and the Chinese media had to face the obvious fact the Western world was at the forefront of artificial intelligence.

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But Danji, look at how smart machines have become yesterday.

Alphago's victory exceeded my expectations.

So I was thinking from another perspective, are we underestimating the development of many emerging technologies.

We might have thought that such advancements would take five or ten years but the pace of technological development might surpass our expectations within just one or two years in many areas.

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Then a year later, Alpha Go did the unthinkable.

It defeated the Chinese world champion.

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Well.

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As we mentioned, a Google computer program has once again beaten a world champion in Go, an ancient Chinese game similar to chess.

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China Google coming in and beating their champion felt like a national security concern.

After the Chinese champion lost game one, Chinese Communist Party or CCP, banned further live streams of the event.

AI, developed by a Western company, had humiliated China at their own game in their homeland.

This could not stand, so began the AI arms race.

China went into action.

That its first step was like an AlphaGo move, Silicon Valley and Washington d C wouldn't fully grasp its significance for years to come.

It implemented the Cybersecurity Law of the People's Republic of China.

The law required that sensitive personal data generated inside China's border had to be stored within the country.

But more importantly, the law granted broad powers to the CCP, including the authority to access the data of Chinese companies.

The new loss and shockwaves throughout the business world.

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China's new cyber security law goes into force on Thursday, with an aim to tysan what is already one of the world's most restrictive online environments.

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Data collected within China will have to stay inside the country, raising suspicions that Beijing could steal trade secrets or intellectual property from foreign firms doing business there.

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China says it's necessary to safeguard's cyber security and protect against hackers from within and outside the country.

What concerns critics are the broad powers the law will give China as it pursues so called cyber sovereignty, that is, control of the Internet within its borders.

Companies in key industries will need to open up their computer systems for security examinations.

Speaker 3

But what almost everyone was missing at the time was that this move could be used to grab personal data from outside the country as well.

The Chinese company were to, say, create a social media app that were wildly popular in the United States, the new law could be used by the CCP to access the personal data of Americans.

That kernel went almost completely unnoticed by Silicon Valley and Washington d C, largely because at the time, there were no popular Chinese social media apps in America.

Like in the Game of Go, it appeared that China was thinking many moves into the future.

But it was China's next move that did catch the attention of America's political antech leaders.

In a document published by the CCP entitled China's New Generation Artificial Intelligence Development Plan, China declared that by twenty thirty it would become the world's leader in artificial intelligence.

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That it was a bold.

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Declaration given that in twenty seventeen, Silicon Valley was far and away the leader in AI.

Now it was about to get its first major challenge.

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There's the environment that Jong Yiming entered when he decided to create a new byteedance product, a short video social media app powered by his AI algorithm.

He called the app Doyen, which roughly translates to shaking Sound, and his team used an interesting philosophy to develop it.

They embarked on the pursuit of the extreme, the extreme and technology the extreme and experience the extreme in operation, and by the time they were done by Dance effectively made digital opium.

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Speaker 1

Welcome back to Red Pilled America.

So in twenty sixteen, the founder of Bait Dance, Jung Yimin, embarked on creating a short video social media app called Douyin, and his team used an interesting philosophy to develop it.

Duyen's product lead, a woman named Kelly Jung, would later explain how they developed the short video.

Speaker 17

App back to the second half of twenty sixteen.

At that time when we decided to enter the short video market, I believe everyone already knew that this was a booming period for short videos and the industry was extremely competitive.

However, we still decided to join this battlefield because we saw that short videos had tremendous potential for future development.

We believed that short videos were worth investing in, so we joined this battle kuyadkhivn TANDIA fit on them.

We tested almost every short video product available in the market, not just in China but internationally as well.

Over one hundred different short video products.

We installed them on our phones, and our entire team used these short video products every day to experience and understand them.

As they're saying goes, know yourself and know your enemy, and you will never be defeated.

Speaker 1

The research pushed them towards four key elements for the short video app.

First, it decided to make their videos play in high definition full screen, something almost no app was doing at the time.

Speaker 17

Additionally, we added music.

Our slogan for Dyin was a music short video app.

While this might seem like a way to differentiate the product, it was more than that.

Music is like a filter that enhances the audio visual experience of short videos, so we approached the product from the music angle.

Speaker 1

They also decided to add special effects and filters.

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If our product was going to serve young Chinese users, we needed to include features like special effects and filters.

After all, who doesn't like a better looking version of themse elves, So we made special effects and filters one of the key elements of Douyin.

The last key element is personalized recommendations.

What Byte Dance, the parent company of Doyin, does best.

Speaker 1

Byte Dance launch Doyen exclusively in China about six months after Alpha Go beat Lisa dol The app slowly gained downloads, but in March twenty seventeen, the team landed on a strategy it made the app go viral.

Speaker 9

Yesterday, Governor Chris Christy challenged me to the als ice bucket challenge.

Governor, I accept your challenge.

Speaker 1

A few years earlier, a fundraising challenge went viral in America and jung Yi means American doppelganger Mark Zuckerberg participated in the challenge.

Speaker 9

After I dumped the bucket of ice on my head.

I get to nominate three new people to challenge, So I'm going to challenge Bill Gates, my partner at Facebook, Charyl Sandberg, and Netflix's founder and CEO Read Hastings to do this within the next twenty four hours.

So you have twenty four hours to do this, or you have to donate one hundred dollars.

Speaker 13

All right, here we go.

Speaker 14

That was really cold.

Speaker 1

Doyen saw creating challenges as the perfect tool to help their short video app grow.

Speaker 17

Kelly Jong explained challenges are intended to provide users with some directional guidance when creating content, since users often struggle with what to film or how to film challenges help solve that problem, so.

Speaker 1

In March twenty seventeen, they created a dance challenge to no scrubs, a song by American girl group TLC.

Doyenne lead Kelly Young would later explain the mechanics behind this dance challenge.

Speaker 17

The scrub dance challenge became very popular within Duyin in March twenty seventeen, and even spread to other social media platforms.

This challenge was initiated by a user who worked with our operations team to develop the concept, aiming to create a challenge that people would enjoy and want to participate in.

Speaker 1

This was the point that the app Douyenne went viral.

When users logged on, their expectations were exceeded by the experience.

A combination of short videos, music filters, and an algorithm that delivered exactly what the user liked made for an addictive experience, the likes of which no app had ever accomplished.

By the end of twenty seventeen, Doyenne was number one in the Chinese App Store.

Their short video app was a massive hit in China, and Jung Yi Ming quickly concluded that it was time to take the app global.

As the jewel of the global market.

America became an obvious initial target.

The problem was how to break in the United States.

Byte Dance couldn't just make Doyenne available to American users.

The Chinese government had strict regulations on content entering their country, so opening up the Chinese app to international creators was out of the question.

So byte dance would have to make a separate clone of Doyen for the global market.

They decided to use the same logo as Doyene, which was the lowercase letter D shaped into a musical note, but they did come up with a different name.

They called the new app TikTok, and it was going to start from scratch in the United States.

However, that created another problem.

A recommendation algorithm only works with a critical amount of users feeding it content.

Whitedance had the kinks in their short video app worked out, but they needed users to feed their AI machine to make it work, so they decided to turn to an app that they'd come across while creating Doyen.

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I like singing, and it's really fun because you can find any type of song that you want and then he just lip sync or dance.

Speaker 9

Sofia has used Musically to make one hundred and one lip sync videos, drawing more than one hundred fans.

Speaker 1

In twenty fourteen, two Chinese nationals launched a lip syncing app in the United States called Musically.

The app became a hit with American tweens, and by July twenty fifteen, it reached number one in the iTunes app Store.

A year later, they attempted to release a version of Musically in the founder's homeland, but the app didn't make much of a splash in China.

Nevertheless, it caught the eye of Byte Dance and Jung Yi Ming.

By November twenty seventeen, Musically had racked up an estimated sixty million active users in the United States.

It was the perfect trojan horse for Byte Dance to enter America.

In early November twenty seventeen, Byte Dance purchased Musically.

Speaker 6

As you know, I'm a poor member of Musically, I think the synergy between the two companies are very interesting.

Total put out a press release in English about twelve hours ago and clearly indicated that Musically as the first Chinese team to build a mainstream app that's well accepted in the US and Europe, and the Western World, and then Totel has the strong AI powered algorithm and recommendation engine and also monizition capability on top of that, and the strong presence in China and elsewhere in Southeast Asia make it a very natural fit both a product capa building standpoint as well as geographic fit.

So I think the two together we will be able to build a very interesting platform for a global expansion.

Speaker 1

By Dance would eventually merge musically with TikTok, and the app officially landed in America in twenty eighteen.

Almost overnight, it became wildly popular.

The algorithm had become extraordinarily powerful, delivering an experience that surpassed every social media app on the market.

Its artificial intelligence also helps people who'd come late to the social media scene.

Trying to make a video go viral on YouTube or Facebook at the time had become difficult because their algorithm favored more established users.

TikTok, on the other hand, could make a new user's video go viral immediately.

Creators were quickly building a following on TikTok, where on other apps they'd stalled.

TikTok Dance challenges provided an easy way for people to become creators.

And the surprising thing was the Chinese app snuck past the Silicon Valley gatekeepers.

American tech giants didn't take the app seriously, allowing TikTok to rapidly grow in twenty eighteen.

In twenty nineteen, but it was an unexpected international event that would shoot TikTok into the stratosphere, making it the first Chinese social media app to break into the global market.

And it was this rapid global success that spelled trouble for the ByteDance app, because as TikTok rose in prominence in America, it started to rack up a long list of enemies.

By the end of twenty nineteen, one Washington, DC politician decided to take on the Chinese own social media app, and when he did, it exposed the true nature of a conspiracy theory and why they've become so common.

Speaker 3

Coming up on Red Pilled America.

Speaker 8

Executives from TikTok they will never come and take the oath and testify in public.

That I think is unusual and I think it begs the question, what is it they have to hide?

Speaker 3

Red Pilled America is an iHeartRadio original podcast.

It's owned and produced by Patrick Carrelci and me Adriana Cortes for Informed Ventures.

Now you can get ad free access to our entire catalog of episodes by becoming a backstage subscriber.

To subscribe, just visit Redpilled America dot com and could join in the topmenu.

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