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%.
Yeah, these days it’s obvious that video games are the next logical step in media consumption. First we had audio. Then we had audio+video. Now we have audio+video+interaction. You can literally watch a movie inside of a video game, if you care to.
But back then, the audio and video qualities of games weren’t yet terribly developed. You could still easily find board games, or heck, sports, that were more complex than Pac-Man and Space Invaders.
I can definitely see that one would think, it’s a novelty and not be able to imagine how cineastic games would become, or that some even contain books worth of history lessons.