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Indeed, the pursuit of AGI echoes the complex interplay of a tightrope walker, where the balance between advancement and ethics becomes a dance of precision and trust. This trust, much like the unseen but deeply felt wind on the tightrope, is not merely a byproduct but a cornerstone of this journey. As we inch forward, the need to foster an AGI that resonates with human values isn't just prudent; it's paramount. For in this intricate waltz of bytes and beliefs, it's trust that will either be our safety net or the very air we plummet through.

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Jan 1Liked by Alejandro Piad Morffis

Thanks for re-sharing this old piece.

I had a vague idea of the rift between narrow AI and AGI, but this definitely puts more meat on my understanding of the challenges involved.

And Happy 2024!

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Jan 2Liked by Alejandro Piad Morffis

I love how comprehensive this is, and knowing this is out there kind of makes it so that I don't feel obligated to write about it: there's already great, useful thinking on this out there. You're as good as anyone at this sort of summary, Alex.

I might request a short future piece where you address directly the idea that narrow AI could possibly lead to AGI by way of "learning to learn." I really appreciate how you've pinpointed that as the central consideration, the challenge that will need to be overcome, because we're after general problem solving (including problems nobody has seen before).

I'm definitely reframing AGI as "learning to learn" from now on; that's really concise.

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Jan 2Liked by Alejandro Piad Morffis

Love the idea of an AI that actually learns like human beings. Let's break the existing paradigm together, Alejandro!!!

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