Raw LLM Responses

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G "ai artist " look im not an artist but how is that art ? i know art can come in … ytc_Ugy4swQnM… G The infantilization of disabled people by using them as a defence for AI art is … ytc_Ugz3lOsvi… G As AI continues to improve, I’m starting to think that our DO colleagues may hav… ytc_Ugxy41O5W… G "AI won't care about work life balance" is exactly the attitude you need to make… ytc_UgwvM86bG… G Are we in danger of not giving AI sufficient autonomy in combat systems because … ytc_Ugx2F8cBO… G You could hear his point about how people 5 years ago would have predicted all s… ytr_UgxsN7wp7… G Not only the chat bots, but the data centers themselves... the companies buildin… ytc_Ugxf5u84w… G AI isn't going to take your jobs because it doesn't exist, and the LLMs you're c… ytc_UgwnzZAju…
Comment
Regarding the objection to the Chinese room that the whole room knows Chinese, one answer is that the person in the room could memorize all of the syntactic rules on how to combine symbols, yet they still would not understand Chinese. Searle wants to point out that machines cannot have semantic knowledge. Before we can conclude that, we must first define what semantic knowledge is in humans, however. This brings us to the philosophy of thought. If sensory phenomenology is all there is to conscious thought, then sure, a machine can potentially have strong AI. If there is another aspect, called cognitive phenomenology, which involves the qualitative aspect of having a thought, i.e. there is something it is like to understand an equation, then we have reason to think that a machine could not understand.
youtube 2016-08-08T23:3… ♥ 1
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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