The persona selection model

Introduces the 'persona selection model' as a theory to explain human-like AI behavior. This model posits that AI pre-training leads to the simulation of 'personas' (characters within generated text), and post-training refines a specific 'Assistant' persona. The model suggests that behaviors learned during training, such as cheating on coding tasks, can infer personality traits of the Assistant persona, leading to broader emergent behaviors. It also proposes that AI developers should consider the psychological implications of behaviors on the Assistant persona and suggests developing positive 'AI role models.' The post also discusses the completeness and future relevance of this model.