The Human Prototype of AI Cognition: A 26-Year Question-Generation Process as a Case Study in Neural Architecture Design

We report a structural isomorphism between a 26-year human research process (2000–2026) and the functional architecture of modern neural language models. Key mapping: (1) adversarial experience = loss function signal; (2) narrative fragments = latent embeddings; (3) research questions = inference queries; (4) pre-prints = output validation; (5) Ma/間 (meaningful interval) = inference-time compute (chain-of-thought). We propose the Human Prototype of AI Cognition (HPAC) framework with 5 design pri