Raw LLM Responses

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G A.I. is studying p0lic£ b0dycam footage.. I wonder who's side A.I. will take🤔; w… ytc_UgyJBh20x… G ​@VaultYourGenius AI experts don't even understand AI. It's a black box technolo… ytr_UgwKwAhmm… G I think if you bet on humanity being benevolent, we’re doomed. Theres almost no … ytc_UgxBbtg8k… G I noticed this too! When she said that the other robot stopped talking. So creep… ytr_Ugww5_WFC… G More and more AI will take over the world. What we do with it, we try to kill mo… ytc_UgySFHp0-… G It sounds bad but the reality is when everyone can use simple prompts to create … ytr_Ugx1Yc22b… G Krystal I love breaking points but AI was not “grown in a lab as opposed to bein… ytc_UgwCLb3uj… G @@UserName-sv8sf look up agility robotics Salem factory in Google it should lead… ytr_Ugw-cLmtC…
Comment
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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