berd021

berd021 t1_j7knpz4 wrote

Sure, but if circumstances are difficult then I wouldn't call it going with the flow to just play along. If your house is on fire, there is no effortless action. All choices are difficult and all action hard.

I think it's more in line with circumstances/context fitting perfectly with what you expect of the world. And your expectation is managed by your ability and experience.

I like to see it as the principle of least action from cognitive neuroscience. Where we try to update our model of the world to fit according to our senses. If your model is aligned with what we sense then we do not need to take any action. We are already in sync so to say.

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berd021 t1_j7jzy5b wrote

So it doesn't make sense that someone can make a place perfect, such that others can be there effortlessly?

I mean that if things already fit your perception perfectly then there is no need to change them. At that moment you can just chill.

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berd021 t1_j7hpmth wrote

I like to think of Wu Wei as the path of least action when it comes to what we expect the world to be. It's about how things fit perfectly in the current context, any action to be taken is easily derived from this context.

So in a way, a video game map can be made Wu Wei, which in turn may yield a flow state if the player is experienced.

Maybe perfect conditions can lower the threshold of skill/activation needed to achieve flow. Like a ceiling and a floor coming togheter.

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berd021 t1_irmnfrs wrote

No, you can just get anything. The only problem is that your score (production/consumption) goes down but that doesn't really matter because it doesn't do anything. It relies on the good will of people to get a higher score. Which will never work imo.

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berd021 t1_ir2j69u wrote

That is exactly what the world model is for though. You can use it to perform a length of transformations that is unspecified beforehand. It will stop performing steps as soon as energy is reasonably minimized.

This is compared to ai now, which only performs as many steps as it has learnt.

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