Re:How DALL-E 2 Works
by mellosouls on Wednesday April 20, 2022 @06:10AM
(#31094737)
GPT-3 is brilliant, undeniably.
But there's a quantum leap or two from (say) mindlessly producing comments that can occasionally fool readers on HN (as it has been used to do in the past) to it consciously joining in the conversation of its own volition and curiosity, then zoning out on Netflix while half-worrying about the future for GPT-4 jr and idly planning it's next server room refit.
It can't worry about jr because it doesn't have a dick. It's deficient in E's - embodied, embedded, enacted and extended. Our curiosities and values come from the game we play, so it would need to play the same game with us to develop them.
I bet we're closer than most people think. Instruct GPT-3 can do semantic tasks just as efficiently as DALL-E 2 can draw. NLP tasks that took whole teams multiple years can be simply described in a few words and they work right away.
The entry barrier to implement new tasks will get very low. The large models will be the new operating system. This means more investments and data, leading to new improvements.
I believe GPT-3 is already close to median human level on most semantic tasks that fit in a 4000 token window. I'm researching how to use it right now for a variety of tasks, it just works from plain text requirements with no training.