Raw LLM Responses

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I see lots of people making arguments on why LLMs won't lead to superhuman intelligence, and I think this is slightly misplaced. I remember the time before LLMs, when deep neural networks were all the rage and people were making arguments about how neural networks can't lead to superhuman intelligence. And the formulation of the AI alignment problem itself predate the neural networks boom too. So what I'm trying to say is when the AI alignment people speak about AI, they don't mean this specific architecture that's popular right now, but rather fundamentally any attempt of building AI of any architecture. So I think arguments about how ChatGPT won't ever become superintelligent are not enough to dismiss this all. P.S. I do know that transformers is a NN architecture.
youtube AI Moral Status 2025-11-01T19:2…
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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