{"type":"rich","version":"1.0","title":"Toni Aittoniemi wrote","author_name":"Toni Aittoniemi (npub10r…4k5t6)","author_url":"https://yabu.me/npub10ra53m2ecfc8k7z2jkyfml8uzdxh7qy4tl5ty3yrzfltmdwrjetsu4k5t6","provider_name":"njump","provider_url":"https://yabu.me","html":"#mathematics people:\n\nI feel there has to be a way of training neural networks to recognise the influence of their training data on the output. \n\nThis would probably include training a complementary indexing network + database that would then ”reverse-training” resolve and offer at some predetermined accuracy the #copyright-viable sources for each generated #aiart \n\nI need some help though. A proof would show the companies know it can be done, but they just don’t want to.\n\n#neuralnetworks"}