Part 2/10:
The term "entropy" in this context measures disorder or uncertainty. High entropy signifies chaos and randomness, while low entropy corresponds to order and structure. Traditional AI models often operate under conditions of high entropy, resulting in unpredictable outcomes, excessive data consumption, and faulty reasoning. Researchers argue that amidst this chaotic framework, AI struggles to process information as effectively as the human brain.