CNNs were brilliant at one thing: detecting patterns in small windows.
Edges. Corners. Curves. Textures.

They could look at a tiny 3×3 patch of pixels and say, “Oh, this looks like an eyebrow” or “This is definitely a  wheel”. Then they stitched first edges, then shapes, then whole objects.

But here’s the catch: CNNs only look locally. Their entire worldview is “small patch → next small patch → next small patch.” They missed the long range connection. The thing that Harrari talks bout in Sapiens as the thing that made humans dominate the planet: Our ability to connect abstract ideas and gossip across tribes.

We’re not powerful because we see edges and textures.
We’re powerful because we can connect:

• stories

• beliefs

• rumors

• meanings

• relationships

• consequences that unfold over time

We can remember something someone said three weeks ago and use it to interpret something said today.

CNNs?
Nope. They’re the quiet, hardworking kid who studies hard but has no tea to spill.

Why This Leads Naturally to Transformers

Transformers introduced attention, which gives a model the ability to say: “This word from the beginning matters to this word at the end and let me connect them.”

That’s gossip.
That’s meaning-spreading.
That’s long-range dependency.
That’s human-style cognition.