The Map of Meaning

A plain-English series on embeddings — how AI turns language into geography, why 'money back' finds 'refund', and where the map fails. The workshop behind The Open-Book AI's Part 3.

1. 01

   The Vocabulary Wall: Why Search Couldn't Understand \"Money Back\"

   Fifty years of computers matching spelling instead of meaning

   5 min
2. 02

   The Address of a Thought: What an Embedding Actually Is

   The whole scary term is a list of numbers doing one beautiful job

   4 min
3. 03

   Meaning by Company: How the Map Drew Itself

   Nobody taught AI that "refund" means "money back

   4 min
4. 04

   The Ruler Problem: What \"Near\" Actually Means

   Why a similarity score of 0.83 tells you almost nothing on its own

   4 min
5. 05

   The Local Map: When the Internet's Geography Fails Your Jargon

   A map drawn from the whole internet has never walked your streets

   4 min
6. 06

   The Map's Blind Spots: Negation, Numbers, and Names

   What geography cannot see — and how real systems cover for it

   4 min