How long until this method evolves to solve business requirements? (Argument could be made that the game is a set of business requirements)
Imagine visual programming but instead of connecting systems and dealing with high level schemas, the stake holder just defines the data flow, and the model creates a (hopefully) more extendable system than current visual programming systems.
But the complexities/black box nature of some neural nets (and the CPU designed by AI that was enormously complex) may transcend to this use case. Meaning we can create systems that are more efficient, more easily, but we ourselves can’t interpret the entire system, let alone each piece sufficiently.
In most real world business situations we can't even define the requirements and constraints in a manner amenable to AI solutions. It only works for the most trivial issues.
Imagine visual programming but instead of connecting systems and dealing with high level schemas, the stake holder just defines the data flow, and the model creates a (hopefully) more extendable system than current visual programming systems.
But the complexities/black box nature of some neural nets (and the CPU designed by AI that was enormously complex) may transcend to this use case. Meaning we can create systems that are more efficient, more easily, but we ourselves can’t interpret the entire system, let alone each piece sufficiently.