Obviously currently this doesn’t happen, but assuming there would be some techniques or devices for learning more – would there be a limit to how much our neural networks in the brain can store?
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There must be a hard limit because our brain is not infinitely large ^((citation needed)).
However, our brain doesn’t necessarily store all the knowledge as-is. We (humans) have a fondness for patterns; we seek for patterns all the time, even when there are none. This also applies to learning: we learn all kinds of patterns, and make connections between them. Then, when we start learning a new topic, our brain reflects this to the patterns we already have stored and sees if the new topic fits in there. If it does, it creates a new connection to that pattern.
For example, when we learn math, we don’t learn each and every math problem separately. Instead, we learn the patterns and rules of mathematics. We first learn about quantities, then comparisons and after that, basic arithmetic functions. When we start to learn about multiplication, we don’t toss away all the previously learned stuff, but instead build on top of that. Perhaps your brain wires up multiplication as “sums, but many times”, and division as “multiplication but in reverse”.
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