[whinvik]

It's weird to see the expectation that the result should be perfect.

All said and done, that its even possible is remarkable. Maybe these all go into training the next Opus or Sonnet and we start getting models that can create efficient compilers from scratch. That would be something!

[regularfry]

This is firmly where I am. "The wonder is not how well the dog dances, it is that it dances at all."

[the8472]

"It's like if a squirrel started playing chess and instead of "holy shit this squirrel can play chess!" most people responded with "But his elo rating sucks""

[sumitkumar]

I was also startled when I learned about the human ancestor who was the first to see a mirror.

The brilliance of AI is that it copies(mirrors) imperfectly and you can only look at part_of_the_copy(inference) at a time.

[viccis]

>It's weird to see the expectation that the result should be perfect.

Given that they spent $20k on it and it's basically just advertising targeted at convincing greedy execs to fire as many of us as they can, yeah it should be fucking perfect.

[minimaxir]

A symptom of the increasing backlash against generative AI (both in creative industries and in coding) is that any flaw in the resulting product is predicate to call it AI slop, even if it's very explicitly upfront that it's an experimental demo/proof of concept and not the NEXT BIG THING being hyped by influencers. That nuance is dead even outside of social media.

[stonogo]

AI companies set that expectation when their CEOs ran around telling anyone who would listen that their product is a generational paradigm shift that will completely restructure both labor markets and human cognition itself. There is no nuance in their own PR, so why should they benefit from any when their product can't meet those expectations?