What a weird take. The fact that people quickly get bored of new innovations implies absolutely nothing about it's potential impact or its dangers.
Same with Stable Diffusion. People acted as if it alone is going to kill artists and make every people able to make convincing fake news as snap of their fingers, but that is not the case. Stable Diffusion is very impressive, but it still requires work after the image has been generated to be anything but a toy.
Maybe in couple years it could evolve, but we are still quite far.
There is a "Nuance" section at the bottom where I qualify most of the rah rah language.
That being said, I disagree that it is that far from actually working. Check out the codex demo here: https://www.youtube.com/watch?v=SGUCcjHTmGY&ab_channel=OpenA... This is a year old and we've made a lot of progress since then.
The model is certainly capable of writing non pseudo-code, although I started hitting rate limits before I got it all the way there in my example.
Edit (typos)
Not as far as you think. This has repeatedly been the case for AI progress so far.
> Same with Stable Diffusion. People acted as if it alone is going to kill artists and make every people able to make convincing fake news as snap of their fingers, but that is not the case.
I'm not sure how you can make that determination at this time as it literally just came out.