Nope, that's an accurate representation of my views. If "postdiction" means "the machine has no influence over its sensory input", then yeah, that's a really good idea.
There are 2 ways to reduce prediction error: change your predictions, or act upon the environment to make your predictions come true. I think the agency of an entity depends on how much of each they do. An entity with no agency would have no influence over its sensory inputs, instead opting to update beliefs in the face of prediction error. Taking agency from AIs is a good idea for safety.
Sc...
A common trope is that brains are trained on prediction. Well, technically, I claim it would be more accurate to say that they’re trained on postdiction. Like, let’s say I open a package, expecting to see a book, but it’s actually a screwdriver. I’m surprised, and I immediately update my world-model to say "the box has a screwdriver in it".
I would argue that that the book-expectation is a prediction, and the surprise you experience is a result of low mutual information between your retinal activation patterns and the book-expectation in your head. That ...
guessing this wouldn't work without causal attention masking