Why LLMs Can't Count

Feb 20, 2026 • Deep Dive

Ask an AI to reverse the word "Lollipop" and it might struggle. Why? Because it doesn't see letters. It sees tokens.

Visualizing the Input

Below is how a Transformer model actually "sees" the sentence "The quick brown fox". Each color represents a distinct integer ID in the vector space.

The quick brown fox
[ 464, 2091, 7842, 1902 ]

Context Window Drift

As the conversation grows, the "Attention Mechanism" has to work harder to relate new tokens to old ones. It's not memory; it's probability.

Explain quantum entanglement like I'm 5.
Imagine you have two magic dice. No matter how far apart they are, if you roll a 6 on one...

This abstraction layer is both the power and the weakness of current GenAI models.