That won't happen only using text. Language does not capture the full spectrum of thought which is what is at work in case of an expert. Companies training thei

That won't happen only using text. Language does not capture the full spectrum of thought which is what is at work in case of an expert. Companies training their custom models or increasing the model size, etc. won't change this fundamentally but it might help in some aspects. We need models that can observe/capture the "history" from everything else (i.e. physical world) in addition to text. Or perhaps mix LLMs with other models in order for our models to posses something we call "common sense". This common sense is needed when you transition from "Solution B" to "because we previously tested Solution A in another similar project". There are a LOT going on with this transition between A and B that might not be apparent to you. But in general I agree with the basic premise of what you say in that, it will eventually happen.