Raw LLM Responses

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That LLMs "merely predict the next word in a sequence" is often given to imply that they cannot be intelligent. The statement is essentially true, but it's not relevant. The prediction of the next token in the sequence is only the output mechanism from the neural network to the function that translates the tokens into words. Humans also speak or conceptualize both words and ideas in sequence - we don't 'know' the next word or our next thought until we have thought it either. The intelligence of an LLM (to the extent that it is intelligent) is a property of the system that generates those probability weights. There are other arguments, both philosophical and functional, that LLMs may not be as intelligent as they seem. However, the fact that they use a function similar to auto-complete to translate intermediate data only concerns technical aspects of how it's built, it doesn't tell us what it 'knows'.
youtube AI Moral Status 2023-08-23T15:1… ♥ 2
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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