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A Beginner's Guide to AI

Why Fritz Lang's 'Metropolis' Still Explains the Real Danger of AI

21 May 2026

Transcription

Transcript generated automatically by AI and may contain errors.

Chapter 1: What can Fritz Lang's 'Metropolis' teach us about AI?

0.031 - 21.516 Dietmar Fischer

What if the real danger of AI is not that machines become human, but that they become human-looking enough to fool us? Metropolis warned us almost a century ago. A machine with a trusted face can move crowds, shape beliefs, and trigger terrible decisions. Today, deepfakes and AI voices make that warning feel less like science fiction and more like Monday morning.

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24.668 - 43.715 Dietmar Fischer

All right, quick break, because if you're building anything with AI right now, you need to know about Nebius Token Factory. It's basically the place where open source models stop being experiments and start being production. We're talking sub-second inference, auto-scaling, predictable pricing. The whole thing just works.

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Chapter 2: How does the robot Maria illustrate the dangers of AI trust?

44.236 - 78.739 Dietmar Fischer

You can run Lama, Quen, DeepSeek, even your own fine-tuned models, all on dedicated enterprise-grade infrastructure. So if you want real performance without the headaches, check out Nebius Token Factory at nebius.com. Seriously, it's the good stuff. The robot was never the real monster. Welcome back to A Beginner's Guide to AI.

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78.837 - 94.953 Dietmar Fischer

I'm Professor Gheffart, and today we are travelling back almost 100 years to a film that looks ancient on the surface, but feels strangely up-to-date once you start thinking about artificial intelligence. Fritz Lang's Metropolis. Yes, we are talking about a silent black-and-white film from 1927.

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Chapter 3: What are the risks of AI-generated content in business?

95.093 - 118.736 Dietmar Fischer

No smartphones. No chat GPT. No LinkedIn posts about 10 AI tools that will change your life before breakfast. Just shadows, machines, workers, towers, and one of the most famous robots in cinema history. And yet somehow, Metropolis still feels like it has been reading our group chats. The film shows a huge futuristic city split into two worlds.

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119.376 - 128.125 Dietmar Fischer

Above ground, the rich live in comfort, surrounded by gardens, luxury, and power. Below ground, workers operate enormous machines that keep the city alive.

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Chapter 4: How does the fake baker example relate to AI manipulation?

128.685 - 147.742 Dietmar Fischer

They do the hard labor, they are exhausted, and they are treated almost like parts of the machine itself. Lovely little workplace culture then. Very team building, if the team is being slowly crushed by industrial capitalism. At the centre of the story is Maria, a kind and inspiring woman who gives hope to the workers.

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148.663 - 154.349 Dietmar Fischer

But then a scientist creates a machine version of her, a robot double, designed to manipulate people.

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Chapter 5: What lessons can we learn from the Arup deepfake scam?

154.85 - 177.315 Dietmar Fischer

The fake Maria does not simply replace a human being. She becomes a tool of influence. A machine wearing a human face, used by powerful people to control emotions, create chaos and bend society in a certain direction. Now, if that does not sound relevant to AI, I don't know what does. Because the question Metropolis asks is not simply, can we build a human-like machine?

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177.356 - 191.983 Dietmar Fischer

That is the shiny question, the one that gets all the posters and dramatic lighting. The deeper question is, what happens when technology is used to separate people from their own judgment? That is where the film becomes frighteningly modern.

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192.783 - 202.214 Dietmar Fischer

Today, we also live with machines that can imitate human language, generate faces, create voices, write messages, produce videos, and influence what people see online.

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Chapter 6: What is the 'Fake Maria Test' and how can it help us?

202.935 - 225.4 Dietmar Fischer

We are surrounded by systems that can look helpful, sound personal, and feel almost human. And, just like in Metropolis, the danger is not always the machine itself. The danger is who controls it, why they control it, and what they want us to believe. The robot in Metropolis is not evil because it is made of metal. It is dangerous because it is used as a mask.

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225.835 - 232.184 Dietmar Fischer

It takes the trust people have in a real person and weaponizes it. That is the uncomfortable bridge to modern AI.

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Chapter 7: How can we maintain judgment when using AI technologies?

232.884 - 247.524 Dietmar Fischer

Deepfakes, synthetic influencers, automated persuasion, fake voices, fake authority, fake intimacy. The machine does not need to become conscious to cause trouble. It only needs to become convincing. And that, dear listeners, is where things get spicy.

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Chapter 8: What final thoughts should we consider about AI and trust?

248.245 - 266.916 Dietmar Fischer

Not chili sauce on your keyboard spicy, but close. In this episode, we will use Metropolis as a kind of old cinematic mirror. We will look at what it can teach us about AI, work, power, manipulation, and the strange human habit of building tools and then acting shocked when powerful people use them for power.

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267.758 - 290.288 Dietmar Fischer

We will also talk about why the film's message is not simply technology bad, humans good. That would be too easy and also a bit boring. The real message is more subtle. Technology can amplify human dreams, but it can also amplify human arrogance. And yes, there is a classic line from the film that matters here. The mediator between head and hands must be the heart. Slightly dramatic, yes.

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290.848 - 315.746 Dietmar Fischer

Very 1920s, yes. But also not bad as a warning label for AI. If the head is leadership, strategy and invention, and the hands are workers, users and society, then the heart is ethics, responsibility and human dignity. Without that middle piece, technology becomes efficient, impressive and deeply unpleasant. like a productivity app designed by a Victorian factory owner.

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316.407 - 338.626 Dietmar Fischer

So today's episode is not about predicting whether robots will rise up, steal our jobs, and start charging us subscription fees for breathing. It is about something more practical and much closer to daily life. It is about recognizing when technology stops serving humans and starts managing them. Because AI does not arrive as a scary metal monster. Most of the time it arrives politely.

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339.146 - 362.357 Dietmar Fischer

It writes a nice email. It recommends a video. It edits your face. It suggests what to buy, what to believe, whom to trust and what to ignore. It does not shout. It nudges. And nudging, if done at scale, can become power. That is why Metropolis still matters. Not because Fritz Lang predicted ChatGPT, because he obviously did not. But because he understood something older and deeper.

362.911 - 383.956 Dietmar Fischer

Whenever a society builds powerful machines, the most important question is not only what the machine can do, it is what the machine allows humans to do to each other. Before we go further, a small practical note. If you want all episodes of A Beginner's Guide to AI delivered straight to your mailbox, you can subscribe at beginnersguide.net.

384.076 - 402.942 Dietmar Fischer

That way the AI knowledge comes to you, instead of you wandering through the internet like a confused Victorian ghost looking for a decent search result. So let's step into the city of Metropolis, towering skyscrapers above, exhausted workers below, and in the middle, a robot pretending to be human.

403.023 - 430.228 Dietmar Fischer

A century-old film asking a question that every business, every marketer, every founder and every normal person using AI should still ask today. When machines learn to imitate us, who benefits from the imitation? The machine in human clothing. The main idea today is simple. Metropolis is not really about robots. It is about power wearing a robot costume.

430.445 - 449.114 Dietmar Fischer

In the film, the robot Maria is not built to help people. She is built to copy a trusted woman and manipulate the workers. That is the important AI lesson. The danger is not that the machine has a metal body. The danger is that it can borrow a human face, a human voice and human trust. Modern AI can do something similar.

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