It is a scary feature of our minds that we can only see reality through our models, and if our brain cannot properly adjust the model to fit reality, we will strongly feel that reality is wrong. That's the nature of dysphoria.
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Replying to @Plinz
Suppose that is the case, then how do we come up with new models?
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Replying to @JMoVS
Realize that you need to disidentify with the current layer of modeling, and obtain a metalayer that optimizes over the space of lower level models. It may not always be possible
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Replying to @Plinz
I‘m thinking that assuming lower level models need more mental effort and mental effort is seen as “intelligent”, the smart people who come up with crazy new ideas are just people operating with models on a lower level. Assembler or C-models versus Python models
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Replying to @JMoVS
The other way around: often the effortful high complexity of the used model is the honest result of compensating for not having found a way to move to the meta model
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Replying to @Plinz
I think we might be talking about different things. If I understand you correctly, the model is easy to understand but can be “written in a high level language” whereas I am rederring to the simplicity but large overhead of dealing with models written in “lower level” langs
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The ease of understanding is actually the difficulty of finding a model, so sometimes understanding in terms of the simplest model is much harder, and easy understanding leaves you with a convoluted and inconsistent one.
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