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this post was submitted on 05 Nov 2023
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That's called learning. You learn by taking in information, then you use that information to produce something new.
It isn't. Statistical models do not learn. That's just how we anthropomorphic them. They bias.
You could say the same about humans.
no, you literally can not. Maybe if you were a techbro that doesn't really understand how the underlying systems work but you have seen sci-fi and want to use that to describe the current state of technology.
but you're still wrong if you try.
Yes, you literally can. At the very deepest level, neural networks work in essentially the same way actual neurons do. All "learning," artificial or not, is biasing the interconnections and firing rates between nodes "biasing" them for desired outputs.
Humans are a lot more complicated in terms of size and architecture. Our processing has many more layers of abstraction and processing (understanding, emotion, and who knows what else). But fundamentally the same process is occuring: inputs + rewards = biases. Inputs + biases = outputs.
they do not, neural networks were inspired by neurons, it's a wild oversimplification of both neural networks and neurons to state that hey work the same way, they do not. This is the kind of thing the sci-fi watching tech bros will say, but it's incorrect to say.