<oembed><type>rich</type><version>1.0</version><title>Toni Aittoniemi wrote</title><author_name>Toni Aittoniemi (npub10r…4k5t6)</author_name><author_url>https://yabu.me/npub10ra53m2ecfc8k7z2jkyfml8uzdxh7qy4tl5ty3yrzfltmdwrjetsu4k5t6</author_url><provider_name>njump</provider_name><provider_url>https://yabu.me</provider_url><html>#mathematics people:&#xA;&#xA;I feel there has to be a way of training neural networks to recognise the influence of their training data on the output. &#xA;&#xA;This 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 &#xA;&#xA;I need some help though. A proof would show the companies know it can be done, but they just don’t want to.&#xA;&#xA;#neuralnetworks</html></oembed>