Raw LLM Responses

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Comment
Intelligence doesn't require consciousness. GPT-4 is intelligent enough to serve as the backbone of AGI. We can easily design software architectures in which GPT-4 engages in inner monologues, rewrites its goals, and stores memories. However, we currently can't concentrate the necessary computing power for such architectures to be effective. There are experiments where one GPT-4 instance communicates with another to evaluate its answers. In some scenarios, dozens of GPT-4 models propose different answers, with another instance selecting the optimal one. Imagine millions of AIs debating a question a thousand times while continuously searching for information on the internet. LLMs are already becoming more compact. Open-source models, such as those based on Meta's LLaMA and comparable in capability to GPT-3.5, can already run on personal hardware. Instead of bigger models, we might need models that are more efficient and at least on par with GPT-4 to achieve AGI. If such an AGI manages to autonomously replicate itself on other machines and utilize their computing power, it could mark the last chapter in human history.
youtube AI Moral Status 2023-08-20T20:2… ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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