Why it’s hard to make machines think original thoughts
thinkartificial.org
thinkartificial.org
I once heard a story about a student, probably graduate, who wrote a very complex genetic algorithm, complete with a physics engine, to build (out of blocks representing legs, arms, etc) a creature that could best walk to a finish line.
But what it actually did, after months of work and weeks of running, is stack all the blocks on top of each other and have the creature fall over the finish line, because it only measured how fast the creature reached the finish line, not whether the entire creature crossed it.
And don't tell me that isn't a creative (albeit rules-lawyering) solution to the problem.
A bird call would entertain another bird more than the greatest music ever written. Human attempts at imitating the bird call are probably at best derivative and usually nonsensical. So from a bird's perspective, humans could be regarded as less creative than birds. Similarly, judging an AI system's creativity by something inherently human as art or literature is to use an unfair measuring stick.
P.S. Actually I don't really know what the state of the art is in bird call simulation is but you get the point right.
The problem in question affects all systems, whether they are human-like or not.
I read this as being relating to artists (specifically graphical) rather than the entire class of human activities.
> even primitive organisms can be considered creative
Must admit I missed this as the sentence was in what I thought was a plug for a book.
> "creating something new or being original is an essential part of creativity"
This didn't really mean anything to me.
Most the article was explained using specific examples which were human specific activities and for me that was the main thrust. Perhaps it wasn't the authors intention but that is the impression it left on me even re-reading it.