Part 4/9:
This includes comparing new hypotheses against existing knowledge, simulating outcomes, and predicting the likelihood of success based on prior research. A unique ranking system, adapted from chess evaluations, helps prioritize hypotheses, effectively removing weak or impractical ideas early in the process.
Additionally, the AI operates on recursive feedback loops, allowing it to self-improve as it processes more research. This iterative approach makes it increasingly precise over time, mirroring the natural refinement process that human scientists undergo, but at an exponentially faster pace.