I'm curious, did you test with the 200 jokes if it could guess which were the beat ones according to a human audience?
In images, music, games, it usually can't. So the process of validation is offloaded to the audience. I'm very interested in seeing where this takes different platforms. I bet Spotify can pull off such a validation process. Music is passive, tolerating a bad song doesn't require much from you. And they have a massive audience. They can try out AI generated mess with a very low success percentage without saturating their playlists and alienating their users. But can Steam tolerate it? Trying out a game is a much bigger effort than listening to a song picked for you. Customers are already reacting to the number of demos in Steam Next Fest. The saturation point is much lower.
And what about jokes? What happens to r/jokes if even 10 standup comedians are validating 200 jokes per day?
And we see it in software too. QA is already being offloaded to the customer.
I want to see where this goes, even if I don't like it.
But if you find a media where AI can also validate the output instead of having to offload it, that's going to be very valuable!
[–] pcwelder 1 day ago
[–] antonvs 1 day ago
[–] tikotus 1 day ago
[–] antonvs 1 day ago
In these LLM comparisons, people tend to compare them to the best humans, not average or below average. It’s a kind of motivated reasoning, with the goal of deprecating the abilities of LLMs.
[–] tikotus 1 day ago
But I think humor is pretty easy to rate for a human. Did it make you laugh? Yes? Then it might be a good one. This simple human filter radically improves your efficiency as a joke validator, leaving any LLM far behind.
For pictures I'm not sure if humans are much better. For music, yes, after a few listens (recognizing a hit usually takes time). For games, definitely yes.