Here's a thought that keeps popping up: "AI can't beat humans because it's built on human knowledge."

But wait—is that really how it works?

Think of it this way. A father passes down everything he knows to his son. Does that mean the son is capped at the father's level? Of course not. The son inherits the foundation, then builds on it. He learns from others too. He connects dots in new ways. He might become smarter, stronger, or more skilled than his old man ever was.

AI is similar. Yes, it's trained on human knowledge. But that's just the starting point. Machine learning models can find patterns humans miss. They can process data at scales we can't comprehend. They can optimize and iterate faster than any human lifetime.

The real question isn't whether AI is built on human knowledge. It's what happens when that foundation gets supercharged by computational power and algorithmic innovation.

Sounds like a recipe for something different—maybe not "better" or "worse," just different in ways we're still figuring out.