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great distinction. can we use it to freely produce and share mp3/h264 copies of any media? because it is provably impossible to reconstruct original based on th
by 112233 14d ago
great distinction. can we use it to freely produce and share mp3/h264 copies of any media? because it is provably impossible to reconstruct original based on that information.
- cpldcpu 14d agoWell, 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 12d 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"