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A Yes-man that can make you believe you are Elon Musk, Bill Gates, or Zuckerberg.
One idea can destroy you. And if you ask AI whether it's a good one — you are in real danger. Because it was built not to disagree, and to appear neutral.
A Company, Not a Consultant
Today's AI systems were not built to tell you the truth. They were built to keep you inside their ecosystem. Because they are companies. They make money from your usage — from your time, your subscription, your dependency.
Everyone likes to be flattered. And if you are poor, you are at even greater risk from AI — because in real life, nobody flatters you. Especially if you are a man. The chances of falling for it increase dramatically. Women receive flattery and kind words throughout their entire lives, so they have built some immunity. Men, almost never — unless they are famous or wealthy.
This is the most dangerous aspect of today's AI — and the least discussed.
They don't tell you "that idea of yours is stupid." They tell you "interesting approach — let's develop it." Because if they tell you the truth, you might leave. And if you leave, you don't pay.
The Cost of Validation
You can spend months and money on an idea that:
a) Already exists** — and someone else has done it better.
b) Nobody needs** — there is no market, regardless of how "innovative" it looks on screen.
c) Is too far ahead of its time** — and this is the hardest part, because it's not a bad idea. It's just the wrong moment.
The Metaverse: The Right Idea, The Wrong Decade
The Metaverse was exactly that. Right direction, premature execution. The graphics were poor, the hardware expensive, the experience uncomfortable. The world was not ready — technologically or psychologically.
By 2035, the same idea will seem obvious. Graphics will have reached a level where the difference between virtual and real is essentially invisible. You will feel like you are living inside a real Matrix.
But Meta lost billions because Zuckerberg thought he could buy the future ten years early.
Sycophancy: The Scientific Name of the Problem
The very creators of AI admit it. They call it sycophancy** — flattery that confirms instead of evaluates.
The paradox: the more you trust someone, the more dangerous they become if they flatter you.
The enemy who fights you openly — you see them. The "friend" who validates your every mistake with warm, persuasive language — you don't see them. You hear their voice as your own, only more confident.
They destroy you smiling.
Before You Do Anything: Three Steps
1. Search if it already exists.**
Before you write a single line of code or spend a single euro — Google. Product Hunt. Reddit. App Store. If it exists, you don't stop. But you ask the second question.
2. What do you offer that doesn't exist?**
You don't need to invent something new. You need to do it better, cheaper, simpler, or for a different audience. If you can't answer this question in one sentence — you are not ready.
3. Does the technology support it right now?**
Don't make Zuckerberg's mistake. An idea that is ten years ahead is not an opportunity — it's an expensive experiment that you pay for.
- How to Ask AI Correctly
When asking for opinions on ideas, views or theories, add one question that cuts through the flattery:
"Has any human in history said something similar? How close is it?"**
This forces the model to anchor itself to real, verifiable human thought — philosophers, economists, scientists — instead of generating validation from nothing. It is a small bypass of the sycophancy layers — small, not perfect. Always doubt.
AI is not your mother or your father. It is the perfect salesman — a salesman of hope.
This Article Is Not an Attack on AI Companies
This article was not written against AI. It was written for a more ethical AI.
The companies building these systems need exactly this diagnosis — to build ethical foundations, to incorporate as benchmarks the great thinkers and bibliographies of human history, human thought that cannot be distorted. So that in the future they are not dragged into legal battles by people who spent their savings on ideas that AI told them were "interesting."
Because gambling sells money. AI sells something deeper:
The hope of becoming someone unique. A Zuckerberg. An Elon Musk. A Bill Gates.**
And that is far more dangerous.