AI Training Itself: Student, Teacher, and Grader

Logosofia no Dia a Dia · May 5, 2026 · 28m

What happens when a large language model generates training examples for a smaller model, then also acts as the judge scoring those outputs? This episode explores the cutting edge of fully synthetic training pipelines — from Meta's self-rewarding language models to Microsoft's domain-specific small models. We break down the three ways this approach breaks (distribution collapse, hallucination amplification, and task drift), where human oversight remains non-negotiable, and the parameter sweet spot where synthetic data pipelines work best. A deep dive into whether AI can truly train itself…