Scaling Hypothesis #2: Are Humans Just More Over-Parameterized?
A researcher proposes that human brains minimize bias through extreme overparameterization and high-learning-rate training on small diverse datasets, while LLMs minimize variance. This 'catapulting' hypothesis could expl…