this post was submitted on 28 Jul 2023
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People still tap into real world while AI does not do that yet. Once AI will be able to actively learn from realworld sensors, the problem might disappear, no?
They already do. where do you think the training corpus comes from? The real world. It's curated by humans and then fed to the ml system.
Problem is that the real world now has a bunch of text generated by ai. And it has been well studied that feeding that back into the training will destroy your model (because the networks would then effectively be trained to predict their own output, which just doesn't make sense)
So humans still need to filter that stuff out of the training corpus. But we can't detect which ones are real and which ones are fake. And neither can a machine. So there's no way to do this properly.
The data almost always comes from the real world, except now the real world also contains "harmful" (to ai) data that we can't figure out how to find and remove.
There are still people in between, building training data from their real world experices. Now digital world may become overwhelmed with AI creations, so training may lead to model collapse. So what if we give AI access to cameras, microphones, all that, and even let it articulate them. It would also need to be adventurous, searching for spaces away from other AI work. There is lot's of data in there which is not created by AI, although some point it might become so as well. I am living aside at the moment obvious dangers of this approach.