Show HN: Watch 14-Byte AI "brains" attempt to solve a 2D maze (Its hard) (con-dog.github.io)

A recent project showcased on Hacker News demonstrates 14-byte AI "brains" designed to solve 2D mazes, pushing the boundaries of minimalistic AI design. Developed by Minomio, these compact agents utilize learned controllers that are small enough to run on nearly any platform. The goal is to explore the feasibility of ultra-lightweight AI systems that operate efficiently within extremely constrained parameters. This innovation is significant for the AI/ML community as it opens new avenues for deploying AI in resource-limited environments, such as embedded systems and IoT devices. By focusing on the scalability and adaptability of these tiny agents, the project emphasizes the potential for solving complex problems with minimal computational resources. The promising performance metrics, such as training times and solve rates, demonstrate the effectiveness of this 14-byte model, suggesting that future AI applications can leverage such compact systems for enhanced versatility and efficiency in various real-world scenarios.