I like to think of this thought experiment... If it was feasible to practically fill and query a database with every answer for every practical prompt it would

I like to think of this thought experiment... If it was feasible to practically fill and query a database with every answer for every practical prompt it would face would we probably call it a generally intelligent system or AGI? Maybe not AGI, but what if it was a system composed of lesser AI modules behind a universal presenting interface? I think so because it would be perceptively indistinguishable in behaviour from any other 'true' definition of AGI. And so I think as long as it exhibits what we perceive as universal adaptability, and performance at making decisions when working with any environments and input types, this is likely where I/we will absolutely be calling something 'complete AGI'. Though before that I imagine we will be marketing LLMs as having reached 'language-based AGI' status. I don’t believe the above leads us to artificial superhuman intelligence in terms of conscious agent potential. For now what I believe might result in that is something that runs from a single unified neural network system. It should also be observed to be universally adaptable and performant at making decisions in all environments and consuming many input types. And then also, it should be continuously running within the network. It shouldn't halt for prompt, or pass through a text stage in the loop.