It's kind of funny that computers can do calculations without issue but AI via ChatGPT cannot. It's notoriously bad at it. I agree with the creative aspect mentioned here, and I explored that a little bit 6 months ago.
Lastly, I'd add one more layer: Learning. It has to be able to form, unform, and reform concepts in a way that fosters learning. I'll go one step further here; it needs to know how to learn from others as well. That's the superpower of humans. Individually we aren't that smart, but we learn socially through mimicry and culture.
Thanks for sharing your essay Michael - interesting and insightful as always.
Really interesting take on learning - which to my understanding you define more broadly than the "learning" that machine learning algorithms do today. Completely agree that there is currently no provision for the learning you describe in computers in terms of forming, unforming and reforming at the conceptual level. Let's see where things go.
Very interesting read and I agree that creativity sits at the top of the peak as to what AI will have to summit before it can be considered intelligent.
I would also add that because humans are somewhat uncertain on how to accurately define what intelligence is - it’s seems hard for us to say for sure when something is more intelligent than us because it will really depends how we are measuring that intelligence.
Glad you enjoyed it and thanks for sharing your thoughts. That's very true - it's tricky because as soon as something is well-defined, it becomes constrained, and easier to "game" yourself towards achieving it without truly achieving it (Goodhart's law: https://en.wikipedia.org/wiki/Goodhart%27s_law)
I think that is a really good point Zan, and I’m not just saying that, I really mean it. That is the type of nuanced point I like to hear.
In fact, I really agree with your assertion that once something is well-defined it becomes constrained. Strangely enough, my latest piece somewhat touches on that idea (implicitly) I just never thought to articulate it the way you did.
And I had not heard of Goodharts law, that is very interesting.
Thanks for your honest feedback - it means a lot! I'll be sure to read your latest essay and leave a comment with my thoughts. Really looking forward to it!
Your three part separation is another helpful guide/heuristic for people like me trying to grapple with AI without much in the way of knowledge about how software actually works. The ability to explain complexity in more simple but not simplistic terms is a great talent!
Thanks also for your mention about my Chaos Friends post!
It's kind of funny that computers can do calculations without issue but AI via ChatGPT cannot. It's notoriously bad at it. I agree with the creative aspect mentioned here, and I explored that a little bit 6 months ago.
https://www.polymathicbeing.com/p/can-ai-be-creative
Lastly, I'd add one more layer: Learning. It has to be able to form, unform, and reform concepts in a way that fosters learning. I'll go one step further here; it needs to know how to learn from others as well. That's the superpower of humans. Individually we aren't that smart, but we learn socially through mimicry and culture.
Thanks for sharing your essay Michael - interesting and insightful as always.
Really interesting take on learning - which to my understanding you define more broadly than the "learning" that machine learning algorithms do today. Completely agree that there is currently no provision for the learning you describe in computers in terms of forming, unforming and reforming at the conceptual level. Let's see where things go.
Hey, thanks for the mention! I'm in good company -- there are some solid names on that list.
No worries - you're there deservedly so! I'll be in touch about a possible co-writing piece in the next month or so!
1- On creativity & AI, have you come across Maggie Boden's work (refs below)?
2- What do you think of Peter Norvig's recent AGI essay? https://www.noemamag.com/artificial-general-intelligence-is-already-here/ (my own view here: https://sphelps.substack.com/p/a-teleological-approach-to-understanding)
Boden, Margaret A. "Creativity and artificial intelligence." Artificial intelligence 103.1-2 (1998): 347-356.
https://www.sciencedirect.com/science/article/pii/S0004370298000551
Really interesting - thanks for sharing these. I'll have a read of Norvig's essay and let you know what I think
Never come across Maggie Boden - but I'll have a look now!
Very interesting read and I agree that creativity sits at the top of the peak as to what AI will have to summit before it can be considered intelligent.
I would also add that because humans are somewhat uncertain on how to accurately define what intelligence is - it’s seems hard for us to say for sure when something is more intelligent than us because it will really depends how we are measuring that intelligence.
Great read. Thanks.
Glad you enjoyed it and thanks for sharing your thoughts. That's very true - it's tricky because as soon as something is well-defined, it becomes constrained, and easier to "game" yourself towards achieving it without truly achieving it (Goodhart's law: https://en.wikipedia.org/wiki/Goodhart%27s_law)
Wonder what you think of that?
I think that is a really good point Zan, and I’m not just saying that, I really mean it. That is the type of nuanced point I like to hear.
In fact, I really agree with your assertion that once something is well-defined it becomes constrained. Strangely enough, my latest piece somewhat touches on that idea (implicitly) I just never thought to articulate it the way you did.
And I had not heard of Goodharts law, that is very interesting.
Thanks Zan :)
Thanks for your honest feedback - it means a lot! I'll be sure to read your latest essay and leave a comment with my thoughts. Really looking forward to it!
Hi Zan,
Your three part separation is another helpful guide/heuristic for people like me trying to grapple with AI without much in the way of knowledge about how software actually works. The ability to explain complexity in more simple but not simplistic terms is a great talent!
Thanks also for your mention about my Chaos Friends post!
Not sure why I never replied to this back when you commented david - but thank you as always for your kind words and support