What Is AI?

Start with intelligence.

Learning from an environment — but which environment?

There's no intelligence in general.

On one end, testable — right answers. On the other, lived — no answer key.

A whole life → a grandmother.

Many life lessons, accumulated over time.

A body in the world → a gymnast.

Balance and timing, learned by doing. Embodied, but scorable.

A corpus of tests → a straight-A student.

Questions with known answers — a fully testable world.

Now the other word: artificial.

It mostly means digital. Why does that matter?

Digital means copyable.

We teach individuals — one at a time. Copyable flips it: teach once, then clone endlessly, every copy identical.

We copied the straight-A student.

Make the test-taker digital and you get AI: copyable × testable, the lower-right corner.

Copy the gymnast next and you get robotics — still arriving.

Two corners we have. Two we don't.

Unique and testable is what we've known so far.

Copyable and lived would be wisdom at scale.

What is that? AGI? ASI? For now, who knows.

Let's look at the other two corners.

The machine drives.

Best practice, at scale.

AI is the “right” answer, cloned again and again.

It might be standard or generic, but it's correct.

We navigate.

Unique and lived is us.

Let's look at those words.

Unique: a distinctive individual perspective.

Lived: not one-off answers but a coherent viewpoint.

We can figure out where it's worth going.

It might be wrong, but it is different and interesting.