Where ChatGPT cowboys ride the hype, we need a clear look at AI:
- It is a pattern recognition machine.
- It has no brain. We still need to use our own.
- It does not replace humans, it complements them.
Why we should start thinking in feedback loops.
The Problem with the Hype#
Every meeting starts with “Can’t we just do this with AI?” Every LinkedIn post promises a revolution. And every other “AI expert” was doing something completely different six months ago. Welcome to the age of AI idiots.
The problem is not AI itself. The problem is how we deal with it. We treat AI like magic instead of a tool. We overestimate what it can do and underestimate what we can do.
What AI Really Is#
AI recognizes patterns in data. That is impressive, but it is not thinking. It has no understanding, no intention, no judgment. Those who forget this make bad decisions, not because the AI is bad, but because humans stopped thinking for themselves.
AI-Augmented Thinking#
The solution is not “less AI” or “more AI.” It is: better collaboration. AI-Augmented Thinking is a mental model that understands humans and machines as a feedback loop. Humans set goals, evaluate results, and make decisions. Machines deliver data, recognize patterns, and scale execution.
No either-or. No hype. No panic. Just a clear framework for collaborating with AI that actually works.
For Whom#
For everyone who has had enough of empty promises and AI buzzword bingo. Who wants to know what AI can really do, what it cannot, and how to use it meaningfully. With straight talk, real-world examples, and no moral finger-wagging.