[astrange]

There is no such thing as a world model, and you don't have one of them. This is a leftover bad psychological concept from the 70s AI researchers who never got anywhere. People and other creatures do very little modeling things, they mostly just do stuff.

[xcv123]

World model means inner representation of the external world. Any organism with a functioning brain has a world model. That's what brains do.

If you don't have a world model then you are a vegetable and could not be replying on HN.

[astrange]

If you close your eyes, how long can you navigate in the environment without hitting something? Not long, because you didn't model it.

If you're taking out the recycling, do you take the time to identify (model) each piece of it first? No, because that's not necessary.

[xcv123]

Wait, you actually think we are talking about modelling as a conscious deliberate process in active working memory? Well there's your fundamental mistake. That is not what we are discussing, not even remotely.

The vast model in your brain is learned and generated unconsciously without your direct awareness.

[astrange]

No, I didn't say anything about doing it consciously. Motion is largely unconscious, like how you can throw things at a target without thinking about it.

But if you're just using it to mean "factual memory", calling it modeling seems like false precision.

[xcv123]

Oh well in that case the answer is straightforward.

If you close your eyes and get lost after a few seconds, that's because that aspect of your model was not a 100% perfect exact replica of external reality that extended infinitely far in all spatial directions at all resolutions. For example, your internal spatial model is limited to some degree of accuracy and does not include the entire surface of Mars, but that doesn't mean that your model does not exist at all. Models are not perfect by definition. I thought this would be obvious.

Why would you think any model has to be a perfect exact 1:1 representation of the entire universe?

The model of reality in your head is a simplification that serves a purpose. Arbitrarily closing your fully functioning eyes is not something your model generating hardware was evolutionarily optimized for. Natural selection weeds out that kind of behaviour.

If you become blind then your model will change and optimize for other sensory inputs. Think of a blind man with a cane.

[astrange]

> For example, your internal spatial model is limited to some degree of accuracy and does not include the entire surface of Mars, but that doesn't mean that your model does not exist at all.

You're using "your model" as a metaphorical term here, but if you came up with any precise definition of the term here, it'd turn out to be wrong; people have tried this since the 50s and never gotten it correct. (For instance, is it actually a singular "a model" or is it different disconnected things you're using a single name for?)

See Phil Agre (1997) on exactly this idea: https://pages.gseis.ucla.edu/faculty/agre/critical.html

David Chapman (more general and current): https://metarationality.com/rationalism

and this guy was saying it in the 70s: https://en.wikipedia.org/wiki/Hubert_Dreyfus#Dreyfus'_critic...

> limited to some degree of accuracy

This isn't the only issue:

- You may not have observed something in the room in the right way for the action you need to do later.

- You might have observed it in a way you don't need later, which is a waste of time and energy.

- It might change while you're not looking.

- You might just forget it. (Since people do this, this must be an adaptive behavior - "natural selection" - but it's not a good thing in a model.)

> Why would you think any model has to be a perfect exact 1:1 representation of the entire universe?

What principle can you use to decide how precise it should be? (You can't do this; there isn't one.)

> The model of reality in your head is a simplification that serves a purpose.

Not only does it serve a purpose, your observations largely don't exist until you have a purpose for them.

RL agents tend to get stuck investigating irrelevant things when they try to maintain models; humans are built to actively avoid this with attention and boredom. Robot cameras take in their entire visual field and try to interpret it; humans both consciously and unconsciously actively investigate the environment as needed alongside deciding what to do. (Your vision is mostly fake; your eyes are rapidly moving around to update it only after you unconsciously pay attention to something.)

> Natural selection weeds out that kind of behaviour.

Not that well since something like half of Americans are myopic…