Tag: intent-matching
Search Is Becoming a Model of Human Behavior, Not Documents
Classic search treated users as queries.LLM search treats users as behavioral systems. The model do...
Nov 17, 2025
Trust Signals Aren’t Declared — They’re Inferred
In human systems, trust is often explicit:credentials, badges, bios. In LLM systems, trust is entir...
Nov 17, 2025
AI Doesn’t Retrieve Concepts — It Rebuilds Them From Scratch
Search engines retrieve.LLMs rebuild. When you ask a model, “What is a dopamine loop?”,...
Nov 17, 2025
Similarity Isn’t About Words — It’s About Shared Intention
Traditional NLP treated similarity as a surface game — matching words, stems, or syntax. LLMs...
Nov 17, 2025
Embeddings Don’t Store Words — They Store Possibilities
Embeddings are often described as “vectors that represent words.”Convenient, but deeply...
Nov 17, 2025
Doorway Pages in the Age of AI: Why Scaled Content Tricks Will Collapse in 2026
Doorway pages never died — they just evolved.Today they hide behind AI generators, “prog...
Nov 15, 2025
The Shift From Retrieval to Interpretation
1. The age of retrieval is ending For 20 years, search was ruled by retrieval: index → ra...
Nov 15, 2025
Understanding Meaning in the Age of Embeddings
(Pronto da pubblicare — versione Hyipnotic, tono secco, intelligente, preciso.) 1. Meaning is...
Nov 15, 2025