Artificial Language
Why Programming Languages Are Not Enough
Programming languages describe procedures. They cannot describe the world. JSON provides structure but no meaning. Even LISP merely borrows syntax.
AI Needs a New Language
GEUL — A semantically-aligned artificial language for unambiguous communication between humans and AI
Artificial Language
Why Embedding Vectors Are Not Enough
Rearranging embedding vectors breaks the model. Avoiding breakage means rebuilding the model from scratch. What we need is not transparency inside the black box, but a transparent layer outside it.
Artificial Language
Why Wikidata
GEUL does not reject Wikidata. It transforms the classification system and frequency statistics of 100 million entities into SIDX codebooks. Grammar is built on top of a dictionary.
Artificial Language
Why Does Natural Language Create Hallucinations?
Hallucination is not an LLM bug — it is a structural inevitability of natural language. Four flaws — ambiguity, absent sources, absent confidence, absent time — make it unfixable by scaling alone.
Artificial Language
Why Esperanto Failed
Artificial languages for humans failed — artificial languages for AI are different
Context Engineering
Why the Age of Prompt Engineering Is Over
From how you say it to what you show — the game has changed
Context Engineering
Why Mechanical Verification Is Necessary
Natural language has no concept of an invalid sentence
Context Engineering
Why Consistency Checks Are Necessary
Individually correct information can be collectively wrong
Context Engineering
Why Exploration Is Necessary
When the index exceeds the window, the search paradigm itself hits its limit
Architecture
Why Is Structured Memory Necessary?
Intelligence without memory starts from scratch every time
Architecture
Why a Semantically-Aligned Index?
When meaning is engraved in bits, search becomes reasoning