Tag: ai-answers
Models Don’t Look Up Concepts — They Rebuild Them
One of the biggest misconceptions of 2025 is the idea that LLMs “look up” concepts from...
Nov 17, 2025
Recognition > Ranking: The Real Visibility Metric of 2025
For decades, visibility meant ranking.Today, ranking means almost nothing. LLMs generate answers wi...
Nov 17, 2025
Search Isn’t Retrieval Anymore — It’s Interpretation
For two decades, “search” meant retrieval.You typed a query, the engine fetched indexed...
Nov 17, 2025
The Loops That Think for Us: How Cognitive Shortcuts Become Invisible Decisions
Most people believe they make decisions by thinking.But thinking—real thinking—is expens...
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
Author Identity: How AI Understands Who You Are
1. Identity is not a profile — it’s a pattern LLMs do not “read” authors.Th...
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
Author Identity: How AI Understands Who You Are
To AI models, an author isn’t a person —it’s a pattern. LLMs build “identit...
Nov 15, 2025
How AI Turns Text into Meaning: The Hidden Architecture of Embeddings
AI doesn’t “read” text.It encodes it. Embeddings are the internal language of mod...
Nov 15, 2025