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Well, that is what video models do. But keep in mind: So far there is no way to train the models while completely avoiding memorization and only including gene
by cpldcpu 20d ago
Well, that is what video models do.
But keep in mind: So far there is no way to train the models while completely avoiding memorization and only including generalization. That would be a great way to avoid any copyright issues, but all attempts I have seen so far were fairly limited.
- 112233 18d agoreally? so what is the bright red line? amount of compute used? use of linear algebra? Is https://github.com/google-deepmind/c3_neural_compression https://github.com/google-deepmind/c3_neural_compression AI enough? </snrk> Because I really want to see difference between approximating input signal using smooth orthogonal basis functions, and approximating those using quantization with rate/distortion feedback as "violates copyright, compression algorithm", and then approximating input signal using perceptron, with backprop loss based off original media as "not compression algorithm, skip jail"