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I wouldn't mind a focus on reliably following tasks with greater intelligence; what I think is negative utility is focusing more compute and research resources on hypothetical superintelligence alignment — the entire focus of Ilya's "Superalignment" project — when GPT-4 is still way, way sub-human-intelligence. For example, I don't think the GPT Store was in any way a dangerous idea, which seems to have been Ilya's claimed safety red line.

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I wouldn't call GPT-4 sub-human intelligence. While it's intelligence is less robust aggregate human intelligence, I don't think there is any one person alive who can compete with the breadth of GPT-4 knowledge.

I also think that the potential of what currently is possible with existing models has not been fully realized. Good prompting strategies and reflection may already be able to produce a system that is effectively AGI. Might already exist in several labs.

Wikipedia has broader knowledge, and yet no one calls it intelligent. I'm talking about reasoning capability, and GPT-4 is well below human on complex tasks, especially multi-step tasks, which is why "autonomous agents" like AutoGPT, BabyAGI, etc are not yet very useful.

For example: https://arxiv.org/abs/2311.09247

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