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pcwelder • today at 9:17 AM • 1 reply • view on HN

I tested this. Out of 200 attempts I got 2 novel jokes that got good amount of upvotes on r/jokes.

Usually commentators say that they have heard so and so version of the joke, or that it's a repeat, but they did not

Both from opus. Sol/astra could not be funny. The versions that worked I had fed top posts from r/jokes as references and gave abstract directions.

However, the core premises were not new even if the construction was. And it's a lot of work to get something useful out.


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tikotus • today at 9:38 AM

I can believe this is true. It's great at going out there, connecting ransom dots in very clever ways, sometimes stumbling on something actually funny.

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!

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