machine unlearning? Leads to perpetual learning? [R]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
I understand ai works in parameters so in theory it cannot have infinite memory and/or infinite learning capability(at least to my understanding). But I was thinking, if we could train ai to forget information to create more space within its parameters for new information?, and once it has advanced its findings it can rid of the old information and that cycle just repeats so it’s never technically bound to its parameters?.Visually it would be like if you put fruit in a box, slowly the fruit rots and you simply replace it. A perpetual cycle of rotting and replacing.With this could it lead to infinite learning? Probably stupid question but a fun question
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