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An image of an archeologist adventurer who wears a hat and uses a bullwhip

(theaiunderwriter.substack.com)
1503 points participant3 | 1 comments | 03 Apr 25 17:55 UTC | HN request time: 0s | source
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MgB2 ◴[03 Apr 25 20:24 UTC] No.43574927[source]▶
Idk, the models generating what are basically 1:1 copies of the training data from pretty generic descriptions feels like a severe case of overfitting to me. What use is a generational model that just regurgitates the input?

I feel like the less advanced generations, maybe even because of their limitations in terms of size, were better at coming up with something that at least feels new.

In the end, other than for copyright-washing, why wouldn't I just use the original movie still/photo in the first place?

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ramraj07 ◴[04 Apr 25 04:40 UTC] No.43578381[source]▶
So I train a model to say y=2, and then I ask the model to guess the value of y and it says 2, and you call that overfitting?

Overfitting is if you didn't exactly describe Indiana Jones and then it still gave Indiana Jones.

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MgB2 ◴[04 Apr 25 04:51 UTC] No.43578447[source]▶
The prompt didn't exactly describe Indiana Jones though. It left a lot of freedom for the model to make the "archeologist" e.g. female, Asian, put them in a different time period, have them wear a different kind of hat etc.

It didn't though, it just spat out what is basically a 1:1 copy of some Indiana Jones promo shoot. No where did the prompt ask for it to look like Harrison Ford.

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1. fennecfoxy ◴[04 Apr 25 14:01 UTC] No.43582523[source]▶
But the concentrations of training data because of human culture/popularity of characters/objects means that if I go and give a random person the same description of a character that the AI got and ask "who am I talking about, what do they look like?" there's a very high likelihood that they'll answer "Indiana Jones".