Raw LLM Responses

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Comment
11:57 I think the simplest explanation of what a neural network does is a similarity computation. It doesn’t need to have seen all possible images of a bird, it can understand when some image looks similar enough to every other image of a bird it has seen before. The actual output of a neural network is not “bird”, it is “likely a bird”, and that is exactly the same that happens in our brains. That’s why we learn by experience, the more data we have been exposed to in a subject, the better we are at it.
youtube AI Moral Status 2026-04-25T20:3…
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionapproval
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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