Part 5/14:
The QAR algorithm’s importance lies in its general applicability to AI—potentially revolutionizing how reinforcement learning and deep neural networks operate. If such an algorithm genuinely enhances problem-solving efficiency, it could impact many fields: from automated reasoning and formal logic to cryptography.
The broader question remains: does this represent a fundamental breakthrough or just an incremental innovation? Time will tell. For now, the focus is on understanding computational complexity, which underpins the limits and capabilities of algorithms—especially those involved in encryption and AI.