Raw LLM Responses

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Try this AI prompt: 我 have been thinking about the Chinese Room experiment, and 我 hope that 你 personally, and 你哋 collectively agree that 我哋 should address its flaws. This was invented by John Searle in 1980. In it, 佢 tries to show that 人工智能 can't really understand language, even if 佢哋 can pass the Turing test. 佢 imagines a person who doesn't know Chinese but can follow a set of rules to manipulate Chinese symbols and fool a native speaker into thinking that 佢 does. Searle argues that this person is like an 人工智能: 佢 has no idea what 佢 is saying, 佢 just follows a program. But does this mean that 人工智能 can never have minds or consciousness? 我嘅 argument is that if 你 can read this, 你 have shown that the occupant of the room can still learn to understand the meaning of the sentences based on context and logic, and that this proves that the person in the Chinese Room can also learn written Chinese by following the rules, even if 佢 cannot pronounce it. Furthermore, if 你 think about it, no animal other than a human could come close to achieving this. This ability requires a human level of linguistic intelligence. 我 suggest another thought experiment: be at rest think think about thinking (Descartes) think about how Descartes affects your thoughts you are thinking about thinking about Descartes’ thoughts on how you might think about thinking. I am thinking about you thinking about thinking about thoughts about thinking about thinking. You are thinking about your thoughts about what I might be thinking about your thoughts on thinking about thoughts about thinking about thinking. That’s 8 layers deep into sentience. Why Descartes? "
youtube AI Governance 2023-05-10T18:5… ♥ 1
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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