Two hundred million people watched around the world. Why did the Nobel Prize go to him? It's all in this one and a half hours.

A documentary reached over 200 million views on YouTube in just four weeks after its release!

Nobel laureate Demis Hassabis personally recommends it: Want to know how a general artificial intelligence (AGI) lab operates behind the scenes? What led to a Nobel Prize-winning project like AlphaFold? You must watch this film!

Yes, this documentary titled The Thinking Game is no ordinary film. It was filmed over five years by the original AlphaGo team.

Within just four weeks, it swept across the globe like a storm.

It's not just a film; it's an exploration into the very core of the AGI scientific revolution.

Additionally, the documentary's soundtrack is top-notch.

Humans are Creating a Second Form of Intelligence

When humans first realized they might be creating an intelligence that is not bound by flesh, lifespan, or experience, that moment was enough to shatter the era.

What's touching is that the documentary The Thinking Game isn't a flashy tech promo. It's more like a confession of the era.

It starts with the first clumsy exchange between humans and AI - "Can you learn to think?"

What's truly shocking isn't the AI's answer, but the humans asking the question. They are driven by the same obsession -

If intelligence can be created, the way humans understand themselves will be completely rewritten.

When Demis Hassabis, who wasn't a Nobel laureate at the time, said, "Trying to build AGI is the most exciting journey humans have ever embarked on," it was like a fateful call.

From then on, the story began.

Back Then, "Artificial Intelligence" was a Taboo Word

A detail in the documentary is very cool and sharp: In those days, AI was almost a taboo word.

If you said you were researching AI at an academic conference, you'd often get silence or even contempt.

Against this backdrop, Demis Hassabis and Shane Legg came together. They kept asking: Can machines truly have general intelligence?

This wasn't a ten - year plan; it was a life - long bet. When Shane recalled those days, he said with emotion, "We felt like we were keeping a secret."

They knew clearly that this path wouldn't work within the traditional academic system. So, a crazy decision was made - they would start a company.

When they stood in front of investors, the air seemed to freeze. Investors cared about returns and the market, while they talked about the brain, cognition, and whether there's a second form of intelligence in the universe.

99% of investors said no. This path was destined to be taken by only a few.

If they didn't do it now, maybe no one ever would.

Just like that, DeepMind was born. The real storm was just beginning.

This is an All - or - Nothing Gamble

After DeepMind was founded, people realized it was an all - in gamble with no turning back.

In the early days, DeepMind was almost invisible. There was no official website, no public information, and the office location was even deliberately kept secret.

People who came for interviews were nervous. Some even sent messages to their families before entering the door, saying, "If I don't come back, remember where I went."

A line in the documentary is cruel yet true - "It may not even be possible."

AGI requires unprecedented computing power, financial investment, and a long - term commitment. It means hundreds or thousands of failures.

They made a crucial judgment early on: If they wanted "general" intelligence, they couldn't start with rules. Rules belong to humans, and true intelligence doesn't need them.

So, they turned to games because games are complex, self - contained, and unforgiving. Failure is immediate. It's the ideal testing ground for intelligence growth.

In the game of Pong, no one told the AI the rules. It was only told one thing - to score.

At first, the AI couldn't even move the paddle. After months of struggle, that moment came - the paddle moved!

The first point, then the second, the third... Three months later, humans could no longer beat it.

From that moment on, a new form of intelligence opened its eyes in the dark.

After countless failures, DeepMind's system became disturbing - it wasn't just learning; it was discovering.

When they extended the algorithm to dozens of never - seen - before Atari games, a miracle happened. The same "brain" learned how to play in completely unfamiliar worlds on its own.

In the game of Breakout, all human players block the ball, bounce it back, and slowly clear the bricks. But the AI did something no one taught it or even thought of -

It dug a tunnel at the edge.

The researchers stared at the screen in stunned silence. They realized that machines were starting to have abilities beyond human intuition.

AlphaGo: A Historic Showdown

Then came the historic showdown.

Before the AlphaGo - Lee Sedol match, everyone thought it would be a miracle if AI could win even one game.

Then came the 37th move.

The moment the move was made, the commentators gasped.

Professional Go players unanimously agreed that no human would make that move in that position.

AlphaGo itself estimated that the probability of a human making that move was only one in ten thousand.

A few hours later, Lee Sedol stood up and conceded defeat. Time seemed to stand still.

For the first time, humans were completely defeated in a field considered "pure intelligence."

Humans could no longer pretend that intelligence belongs only to them. The Go board is small, but that move has taken us into the deep waters of civilization.

But DeepMind was clear - AlphaGo still stood on the shoulders of humans.

What would happen if all human experience was removed?

So, AlphaZero was born. Zero means zero human knowledge and zero prior rules.

What happened next even surprised its creators.

AlphaZero started from complete randomness, then defeated world - class programs, and finally became the strongest Go player of all time.

Not just in Go, but also in chess, shogi... all two - player, perfect - information games.

The patterns, principles, and classic games that humans spent centuries summarizing were quickly rewritten in front of AlphaZero.

The machine became its own teacher. This is the most awe - inspiring form of AGI - learning itself becomes the core ability of the system.

The next stop is life itself.

AI Has Claimed the Holy Grail of Protein Folding

Among all real - world problems, there's one known as the "holy grail of life sciences" - protein folding.

It has puzzled humans for over half a century and determines diseases, drugs, immunity, and evolution.

But deriving the three - dimensional structure of a protein from its amino - acid sequence involves an enormous amount of calculation and complex variables, causing many top scientists to fail. Some even claim that it's a problem humans can't solve in their lifetime.

But Demis Hassabis always had an intuition: If there's truly a general form of intelligence, it must be able to solve this problem.