Solving puzzles faster than humanly possible

The blog post discusses an upcoming challenge in the game Opus Magnum where participants will automate solving puzzles to optimize metrics like Cost, Cycles, and Area. The challenge involves creating automated puzzle solvers to handle a large number of puzzles efficiently. The post outlines the process, including the release of new puzzles on June 2 and October 20, with participants submitting solution files for evaluation. The goal is to explore the capabilities of automated solvers compared to human efforts. Various strategies are discussed, including the potential for hybrid approaches combining human and machine solutions. The scoring system for the challenge is detailed, emphasizing optimization across different metrics. The post also mentions the use of mods and bots to enhance the solving experience and improve solution efficiency. Overall, the challenge aims to test the limits of automation in puzzle-solving and encourage innovative approaches to optimize solutions.