Key points

Large language models shape our ideas and leave traces behind in our minds.

Confusion, hesitation, and error are not cognitive accidents—they are how we refine our understanding.

We must recognize which parts of our ideas are human versus machine-generated, and where the two have fused.

A hammer builds a house.

A calculator solves an equation.

A phone connects a call.

Each of these tools, and many more, lives distinctly outside of us, waiting to be picked up and put down. And when the task is finished, we walk away intrinsically unchanged. A hammer might cause a blister on your hand, but it doesn’t alter the way you think.

Here's the thing: Artificial intelligence (AI) doesn’t work that way. Large language models (LLMs) don’t just build, solve, or connect—they provide

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