>> Our intellect and capabilities are the result of a truly vast amount of computation in the grand scheme of things. This is an interesting paradox in machine

>> Our intellect and capabilities are the result of a truly vast amount of computation in the grand scheme of things. This is an interesting paradox in machine learning: the data that people use to (ostensibly!) simulate the human mind is simultaneously way too much, and not nearly enough. It's way too much in that humans can, e.g., learn to generate and recognise natural language without having to train on the entire World Wide Web of a corpus. And it's not nearly enough because humans can do that only after billions of years of evolution, which amount to training on all the data in the real world, not a mere few petabytes of data on the internet [1]. This paradox has to be resolved (i.e. understood) before we can really compare humans minds to artificial systems. Unfortunately, I don't see anybody trying. In machine learning so far people are happy to just plug in the data and turn the crank- something will come out eventually. ______________ [1] Source: https://archive.li/EY9ak https://archive.li/EY9ak