Part 3/14:
The QAR algorithm itself was genuinely introduced in a paper published in March 2023. It combines a hybrid of A search algorithms with deep Q-learning and neural networks, notably Q-networks, leading to remarkable efficiency gains—particularly solving complex challenges like a Rubik’s Cube significantly faster than previous methods. The speculation is that QSTAR, the AI model using QAR, may have been used by OpenAI or other institutions in pursuing formal logic and mathematical solutions, with potential implications for AI safety and cryptography.