I mean, so far, all of them require tons of humanly produced data.
Discriminative AI (deep learning et al) requires humans to label data for hours on end, per use-case.
And generative AI (LLMs et al) require just insane amounts of human works to copy from, albeit not necessarily limited to individual use-cases.
I guess, what I’m saying is that the ratio of how much labor humans (involuntarily) invested into AIs, compared to the labor these AIs actually perform, is likely a lot higher than 70%.
You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: !programmerhumor@lemmy.ml
Post funny things about programming here! (Or just rant about your favourite programming language.)
Rules:
Posts must be relevant to programming, programmers, or computer science.
No NSFW content.
Jokes must be in good taste. No hate speech, bigotry, etc.
I mean, so far, all of them require tons of humanly produced data.
Discriminative AI (deep learning et al) requires humans to label data for hours on end, per use-case.
And generative AI (LLMs et al) require just insane amounts of human works to copy from, albeit not necessarily limited to individual use-cases.
I guess, what I’m saying is that the ratio of how much labor humans (involuntarily) invested into AIs, compared to the labor these AIs actually perform, is likely a lot higher than 70%.