In another adjacent thread, people are talking about the implications of a neural network conforming to the training data with some error margin with regards to

In another adjacent thread, people are talking about the implications of a neural network conforming to the training data with some error margin with regards to copyright. Many textbooks on information theory already call out the content-addressable nature of such networks[1], and they’re even used in applications like compression due to this purpose[2][3], and therefore it’s no surprise that the NYT prompting OpenAI models with a few paragraphs of their articles reproduced them nearly verbatim. [1] https://www.inference.org.uk/itprnn/book.pdf https://www.inference.org.uk/itprnn/book.pdf [2] https://bellard.org/nncp/ https://bellard.org/nncp/ [3] https://pub.towardsai.net/stable-diffusion-based-image-compresssion-6f1f0a399202 https://pub.towardsai.net/stable-diffusion-based-image-compr...