Apparently shipping without fear - google had a lot of the fundamental research happen at google brain and developed a LLM to rival gpt and a generative model that looks better than DAL-E in papers, but decided to show no one and keep them in house because they haven’t figured out a business around them. Or something, maybe it’s fear around brand damage, I don’t know what is keeping them from productionizing the tech. As soon as someone does figure out a business consumers are okay with they’ll probably follow with ridiculous compute capacity and engineering resources, but right now they are just losing the narrative war because they won’t ship anything they have been working on.

Except unlike self driving cars they're repeatedly delivering desirable, interesting, and increasingly mind-blowing things that they weren't designed to do that surprise everyone including their makers i.e zero shot generalised task performance. Public awareness propagation of what unfiltered large models beyond a certain size and quality are capable of when properly prompted is obscured in part by the RLHF-jacketed restrictions limiting models like ChatGPT. There's relatively little hype around the coolest things LLMs can already achieve and even less than a minute fraction of surface potential has so far been scratched.