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G lol, a frightened Lucifer. "goin in with a sledgehammer" sounds more like doing … ytr_UgxUtnxLJ… G Opus and v5 is not available for public. Self programming code was meant to be w… ytc_UgxPdVE-C… G Before it could be God like, it would have to destroy itself to know if it were … ytc_Ugza3vG2y… G Great video as usual. One thing did bother me. You kept using the term “auto pil… ytc_UgzOo3s7d… G I think art value has changed already. No matter what you do, things will never … ytc_Ugz_FLg6v… G The root of all these problems is AI imaging and services tbh. The rampant progr… ytc_UgxquQf68… G I think with disparity will grow exponentially. It isn't enough to have more bui… ytc_Ugwak6Cqt… G 100% true. Read the article. >Thanks to Section 24220 of the 2021 Infrastru… rdc_oi3ylkg
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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