gimulnautti,
@gimulnautti@mastodon.green avatar

people:

I feel there has to be a way of training neural networks to recognise the influence of their training data on the output.

This would probably include training a complementary indexing network + database that would then ”reverse-training” resolve and offer at some predetermined accuracy the -viable sources for each generated

I need some help though. A proof would show the companies know it can be done, but they just don’t want to.

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