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Alex J. Champandard @alexjc
, 9 tweets, 4 min read Read on Twitter
Computers cannot and will never be able to "be creative" — as judged by humans — entirely on their own. AI requires human-sourced examples, humans as evaluators, humans as instructors, humans as architects, humans providing intent...
The idea of "General Computational Creativity" is usually implemented as a clever combination of these human skills, with a fascinating goal to minimize human involvement. But so far all attempts have been well-branded machines that are products of their authors and environments.
This topic came up at the conference on computational creativity a couple weeks ago. There are clever ways to generate good explanations or motivations for creative bots, but they still felt fake to me... #ICCC18
I introduced them to the idea of an autonomous blockchain-based bot that needs to do weekly actions to survive. This immediately resonated with those I spoke to: the motivation becomes very real and understandable. @paniq…
Machines can be accidentally "creative" in the same way monkeys at a typewriter can, but then I'd argue the creative act was a co-creation involving the human curator who discovered that artifact in the haystack.
Exactly, it's very hard for humans as well. What does it imply? Creativity is a dialog. Creativity is communication. Creativity requires collaboration. Creativity is co-creation.
Group A cannot and will never be able to "be creative" as judged by Group B, unless Group A's creation process somehow involves Group B.

I think it holds true whether A and B consist of humans, machines or any combination. More formal, less controversial?
This model was architected by humans to model the human visual system, it was trained by scripts written by humans, it was fed with photos taken by humans. It's a great example of emergent co-creation, technology as a tool!
This surprised me too, considering how poorly we understand both the human brain and AI! Did I miss the memo?
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