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It's the same for me, in terms of it being dark and fuzzy unless concentrated on.

but I really do notice this sort of ability when it comes to memory. When I am looking for something, I can often visualize a scene of where I saw it last. This is not always helpful for actually finding the object, but it can be! When trying to recall a meeting, I can recall materials I saw (bits of text on slides, images, etc).

I'm fairly good at remembering faces, and if they're next to a name when I see them, I can even associate the name! The flip side, of course, is that if I don't see the name, I won't remember it.



I find it implausible that people really have extreme, detailed imagery. Not that they can't do it on demand, if desired. But if every time they imagined something, it instantly appeared with all possible detail - that's just tremendously inefficient.

I think of it as more like Level of Detail in a 3d visualization. So when you ask people how much detail they imagine, their response strategy might determine most of the variance. (Some think you mean "what is the ultimate limit of your viz", and others think you mean "what detail is in a no-purpose-given, speeded-response viz".


It can be highly variable. For example in the morning or right after a nap I can visualize in extreme detail, but when I'm awake and at my most alert it will become a lot more basic.


What about people who can look at something and then draw it? https://en.wikipedia.org/wiki/Stephen_Wiltshire Do they have to recall specific areas, or do they perceive the entire thing as a fully instantiated mental image.


Glad that you used this exact example! This guy doesn’t have a photorealistic memory. At least it’s far from as good as it’s claimed to be. He’s an artist proficient in a particular style - better than most, but not superhuman. When he’s not drawing from a direct reference, he’s simply making up details based on assumptions, not on photorealistic memory. Here’s a good example: https://www.youtube.com/watch?v=FyPqQIHkasI

He looks at a city and then draws a picture of it. It’s very detailed, so we assume he remembered all of it and recreated it accurately. But if you compare any part of it it to the actual photo of the city he saw, you’ll see that he only recreated it roughly — some landmarks, the general shape of the coastline. He probably got the number of bridges right.

But you couldn’t use this as a map. If you were trying to find a particular building that isn’t among the top 15 most memorable ones, it’s probably not in his drawing, with a completely random building taking its place instead. Every part of that drawing is filled with mistakes and assumptions that would never be made by someone who could actually see the landscape in their mind like a photo.

And it’s the same with every other claim of photorealistic memory - it’s always some kind of trick where people have a decent but realistic level of memory. And then they fill the gaps with tons of generated detail that we either can’t check, or wouldn't bother to check.


This is called building your 'catalogue' in art, especially concept art. In order to draw something (well) from imagination, you should draw it from reference many times. Then when you draw from imagination, your brain will pull from what it knows. And since you studied the subjects, the textures, the shapes, etc, so well, you will have that stored away and will be able to do so.


Yeah, it resembles what you'd get when using gpt 4o for image editing. Of the parts that should have been unaltered, the broad lines are correct, but the exact details are made up. A modern white chair is replaced by some other white chair. A book is replaced by some other book. Etc, etc.

Both brains and gpt appear to be doing lossy compression based on preexisting world knowledge.


but what we see in the first place is not what's out there. a lot of it is generated by the brain. (same for what we hear)


Not exactly. I can imagine (hehe) that robust imagination is useful for practical thinking. It allows to reason about the world without having to interact with it by simply simulating complex scenarios in your head.

It's like, if you want to make weather forecast, then you'll use as detailed models as possible, right?




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