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G Thank You for for sharing this course. I now understand this concept of AI bette… ytc_UgzVVxxyV… G @hrkozl are you saying that to me or to the people making ai generate images?… ytr_UgzRbhYxt… G i think it doesn't matter if the ai images have contrast or not as they might be… ytc_UgxmsQSPt… G It’s happening now sir, two robots started talking, in the own language, in a la… ytc_UgwStWdzo… G So much easier to make them look like the plastics now because they all look the… ytc_UgyXDZ7Ji… G ​@CorporateCatalystYes bro these people are just trying to scare you ultimately … ytr_UgzU9eGav… G Ai image generation should be reserved for niece cough cough spicy stuff where s… ytc_UgyEUEzYR… G You know, we all know that those posts & explanation are written by that AI prog… ytc_UgwOsU5r0…
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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