I appreciate where you are coming from and I agree that AI is about to go from relative obscurity where just a few geeks were playing around to insane hype. I feel like I’ve spent the last 7 years wondering why no one in the wider world was as impressed as I was, but starting with Stable Diffusion and now ChatGPT, the hype rocket ship has launched. Search TikTok for ChatGPT for all the evidence of that you could ever need.

That said, I still think we are in for a wild ride, even if we go through a hype bubble and pop first. I really don’t think the current crop of Transformer LLMs are the end of the story. Im betting that we are headed towards architectures made up of several different kind of models and AI approaches just like the brain is an apparent concert of specialized regions. You can see that in the new Bing where it’s a combination of a LLM with static training set that can then do up to 3 web searches to build up additional context of fresh data for the prompt, overcoming one of the key disadvantages of a transformer model. The hidden prompt with plain English Asimov's laws are the icing on the cake.

The hype will be insane, but the capabilities are growing quickly and we do not yet seem close to the end of this rich computational ore vein we have hit.