I think i see what is the cause of it. I will also make a prediction that super forecasters will indeed be better at compressing information. This is in line with the principles of how neural networks work, since the human brain is slow, having more cached thoughts/categories/compressions will allow better predictions, as it will require less thinking/calculation. My reasoning is that when you predict, you find some patterns, properties that are the same for all examples (which can be categorized as said), even chaos/unpredictability is just a state of high entropy, low negentropy, also known as common information. and its absence is incompressibility, white noise, randomness.
I think i see what is the cause of it. I will also make a prediction that super forecasters will indeed be better at compressing information. This is in line with the principles of how neural networks work, since the human brain is slow, having more cached thoughts/categories/compressions will allow better predictions, as it will require less thinking/calculation. My reasoning is that when you predict, you find some patterns, properties that are the same for all examples (which can be categorized as said), even chaos/unpredictability is just a state of high entropy, low negentropy, also known as common information. and its absence is incompressibility, white noise, randomness.