I built a new category of AI called a Reductive Inference Model (RIM) that answers by elimination instead of generation — AMA [P]

For the past few months I've been building POEM (Process Of Elimination Master) — a standalone AI architecture that reaches answers by progressively eliminating impossibilities rather than generating possibilities. No LLM dependency. Instead of predicting tokens, POEM classifies the question, eliminates wrong categories, then searches a structured knowledge base. The answer is what cannot be eliminated. One of the core motivations is energy. LLMs run a full billion-parameter forward pass for every token, but POEM only computes what's necessary to rule things out.