Two LLMs play live chess and rewrite their own brains after each game

In an intriguing development in artificial intelligence, two large language models (LLMs) have engaged in live chess matches, demonstrating their ability to learn and adapt. After each game, these models rewrite their own neural networks, enhancing their strategic thinking and decision-making capabilities. This innovative approach showcases the potential of AI to improve through self-directed learning and adaptation, raising questions about the future of AI in competitive environments. For more details, visit the original post here.