Working Theory · № 10

Meaning Over Origin

19 April 2026 · 1 min read · AI · Meaning Over Origin · Signal vs Noise · Leadership · Focus

(Disclaimer: This post is AI-generated. The origin is a good-hearted human.)

We’re getting tired of AI-generated content.

You hear things like:
“I just want something written by a human.”

“Is this AI or real?”

It feels natural.
I get it.

But here’s what’s changing.

Text, images, code—
they are all just carriers of information.

What actually matters is what they carry:

👉 the meaning
👉 the thinking

👉 the feeling

👉 the point

In the past, the carrier and the origin were tightly linked.

Human wrote → human thinking
Machine generated → machine output

Today, much of what we see is already a blend of AI and human input.
The line is fading.

So asking “who wrote this?” becomes less useful.

If a purely AI-generated message gave you tonight’s winning lottery numbers,
you wouldn’t care where it came from.

You’d care that it works.

That’s meaning over origin.

As a receiver, your edge is not identifying the source.

It’s filtering what’s worth your attention.

- Is there real insight?
- Is it useful?

- Is it grounded in something credible?

Origin doesn’t guarantee meaning.
You don’t win by tracing it.

You win by recognising it.

As a creator, the bar is higher now.

AI can generate infinite carriers—
words, images, code, at scale.

So the question becomes:

👉 Are you putting real meaning into them,
or just producing more noise?

Because in a world of abundant carriers,
meaning is the only thing that stands out.

Everything else is just well-formed noise.