LLM like have some form of understanding of the world, not sure if its anywhere near comparable to our understanding though. But they are still not general enough to really focus on facts. They can get close but the nature of statistics means there isn't hard checks to truth.
And we only just [mapped it for the first time](https://phys.org/news/2023-10-scientists-generate-single-cel...) so now much of what we are learning can potentially be applied to our “digital twins” in coming years.
I imagine a lot of progress with AI will involve similar networks, with governance providing evolutionary paths and guidance for multiple concurrent goals.
There are also lots of issues with training data and memory limits that make LLMs weak at continuity. Holes or weaknesses in the training data might “come through” in the behavior of hallucination.
Where do you think general AI is going right now that we should be looking at? I’m overwhelmed by how large this field has become in the last five years and am always interested in what others know.