Understanding LLMs and AGI through the lens of Solomonoff Induction

Solomonoff induction is a theory that describes an optimal method for predicting future data based on past observations. It is a great mental model to understand LLMs and how we could get to AGI.

You might be familiar with Occam's Razor. In simplest terms, Occam's razor states that simpler explanations are more likely to be correct. But then, what is simple to you may not be simple to me. Y…