AGI Attempt on the Tokio Runtime: A Failed Biologically-Inspired AI Experiment
2024-12-26
A developer attempted to build an AGI system based on a biological neural network on the Tokio runtime. He built an asynchronous neural network and trained it using genetic algorithms, but the experiment ultimately failed, achieving a maximum score of only 3. The author suggests that Tokio's inability to efficiently handle the massive number of neural impulses, and the optimization strategy of the genetic algorithm, might be responsible for the failure.