Aza Raskin: “AI, The Shape of Language, and Earth’s Species”
The Great Simplification with Nate Hagens
Using Pattern Recognition in a Machine Learning Environment
Neural nets are nowhere near as efficient as the human brain wam. But we're able to, just in terms of power, required a number of examples that we need to give a computer before it starts to learn. We can feed in a lot more data a lot quicker. The pay off that i'm getting is two really powerful pay offs. M one, and this was the two thousand 17 break through, and it was, ok. So now we're thinking back in language. Imagine dog. Dog has a relationship to man. Dog as relationship to wolf, to being a guardian, to howls, to fur. These can't possibly be the same shape because we have
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