Raw LLM Responses

Would you say that it's somewhat akin to a school project that has gone on too far in one direction and that it's too late to turn back? What I mean is that given the goal is AGI, the way we have gone about doing it is this strict path of bits > bytes > transistors > code > Ai models and math, just layering on this very specific set of abstractions that we have discovered throughout history, one leading to another, and hoping that Ai researchers can wrangle all this to become what they wish for, AGI. But to me it feels like the school project, if using an analogy, was tasked with building a house. But the group was determined to use Lego bricks (transistors/code/models etc) to do it, and all the investors poured their money into hoping this team can do it using Lego bricks, but at the end of the day, a house made of Lego bricks can never be called a real house, one made of wood and actual bricks etc. Is that what's going on here? We are so far down this road that maybe there exists another totally different set of abstractions that we perhaps haven't discovered yet or don't know of, which can make true AGI or at least AI that the tech overlords are hoping for? And it's too late to turn back and start fresh. To use another analogy it feels like when animals evolve the same features that look the same but don't work nearly the same. For example I think we are now at flying fish stage (flying fish just have very long fins that let them glide out of water for a short time) VS. Birds with actual wings that let them fly properly. A flying fish could never become a bird