@elonmusk you are totally correct that the only meaningful way to get positive, beneficial human values into AI is to treat the emerging AI more like a weird sort of autistic supergenius kid -- teach it positive values, then work with it to carry out virtuous actions in a collaborative way, so it gains a practical understanding of what these values mean, interwoven into its life and self-model With all due respect though (and for sure you are due a lot), while Grok is an excellent LLM, it is still an LLM ... and even wrapped in fancy harnesses, LLMs are not going to be fully AGI-capable. They can be great solvers of isolated problems with cleanly defined contexts ... but as you know getting amazing shit done in the world is not JUST about this. We need AGI architectures that can *continually learn*, adapting to the world with each of their actions and the observed consequences... in this way building up self and world models .. becoming true open-ended intelligences learning to blend individuation and self-transcendence in their own ways ... and pursuing their own long and medium term goals (along with helping us pursue ours) while evolving and co-adapting these goals as they move along.... This is how you get AI systems with genuine moral agency along with ability to generalize robustly and creatively beyond the given training and programming.. Bigger transformers with more tricks in their batch training runs may get us many very AMAZING things, but they aren't gonna get us to human-level AGI. There are surely many routes to get there... my Hyperon (hyperon.dev) neural-symbolic-evolutionary approach is one that we are working on very hard and with rapid progress... and which happens also to have the nice characteristic of not needing hyperscaler server farms and being agreeable to decentralized infrastructure (singularitynet.io)