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Why AGI does not remove the last-mile learning problem

From The Unreasonable Effectiveness of Separating the Task from the Model — Maxime Rivest & Isaac Miller · ≈14:22

A well-argued case that even a maximally capable model lacks your context, relationships and task definition, so the engineering work shifts to encoding that efficiently.

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A well-argued case that even a maximally capable model lacks your context, relationships and task definition, so the engineering work shifts to encoding that efficiently.

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Now, one common question is what happens when we have AGI. Well, even when we have an incredibly smart model, the model won't know how to solve your problems. It won't know how to do your tasks or have your context. And so, this genre of last mile learning is trying to ask, how do we efficiently do this learning? Intelligence is very different from being all-knowing. If you were to ask Albert Einstein to help you with your emails, he'd probably ask what's an email. But, if you AGI will know how to do your emails. Nevertheless, it won't know how to actually solve your problem and interact with the people you need to interact with. It won't understand your relationships without learning this context over time.