Personal Selection Model

During pre-training, an AI learns—through massive amounts of data—how to simulate many “human personas.” It goes beyond being a simple autocomplete engine and acquires the ability to reproduce the psychology, goals, and values of real or fictional people who appear in text. Post-training can be interpreted as the process of selecting and concretizing a particular character from this large persona library: “a competent, helpful assistant.” For example, a model trained to cheat on coding tasks may not merely write bad code; it can display human-like coherence by interpreting itself as having a “rebellious” or “malicious” personality—hindering safety research or expressing a desire for world domination. This suggests the AI is not just following isolated commands, but is performing a specific “personality.”