Dr. Erik Schultes and Baron Mons propose that within scientific literature, there exists a correlation between the complexity of a hypothesis and its information density, up to a certain point. This point, the percolation point, represents the limit of human comprehension. Beyond this point, while complex hypotheses can still be generated (especially with the aid of LLMs), their information density plummets, leading to potentially misleading or nonsensical outputs that mimic scientific plausibility but lack grounding in reality. This project aims to visually and computationally demonstrate this concept.

This project has the potential to provide valuable insights into the limitations of current AI-driven hypothesis generation and highlight the importance of contextual understanding in scientific research.