[goaaron]

The human brain also forgets, something that may be a feature instead of a bug. Also, beyond compression––brains are simulation machines: imagining new scenarios. Curios to understand if ML provides anything analogous to simulation that isn't rote interpolation.

[nh23423fefe]

I think the simulation aspects of conscious and intelligence are fundamental. We don't simulate the world, we simulate what we might experience.

[loa_in_]

I don't think it's true. I can imagine a lot of aspects of systems around me I cannot possibly experience in any way, except maybe them leading to some outcome that I might experience as well. I sometimes do verify this experimentally, but that comes later.

[kaba0]

I am quite a novice in ML topics, but isn’t this concept of simultaneously training a generator and validator sort of this?

I don’t know the exact term but I think of deep fake generators with an accompanying deep fake recognizer working in tandem bettering each other constantly?

[Traubenfuchs]

People with hyperthymesia don‘t forget and don‘t necessarily seem to have any other potentially disabling neuroatypicality like autism.

Having it is a premium feature.

https://en.m.wikipedia.org/wiki/Hyperthymesia

[jamiek88]

>In fact, she was not very good at memorizing anything at all, according to the study published in Neurocase.[1] Hyperthymestic individuals appear to have poorer than average memory for arbitrary information.

So no, not premium. A trade off.

[uoaei]

Absolutely. Generative methods are all the rage now. Those methods work on learning information-rich representation spaces. You could argue it's still "interpolation" but instead of interpolating in data-space per se you are interpolating in representation-space.