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Problem is, even if you succeed and end up with a fabricated picture that fools human neural nets into believing it's a picture of a panda, how would you tell i
by tripzilch 12y ago
Problem is, even if you succeed and end up with a fabricated picture that fools human neural nets into believing it's a picture of a panda, how would you tell it's not really a picture of a panda?
You'd need another classifier to tell you "nope it's actually just random noise and shapes" ... hm.
- JoeAltmaier 12y agoProbably not hard - just engage the higher cognitive functions. "Does it look like noise? Yeah." Or just close one eye and look again.
- tripzilch 12y agoI think you missed my somewhat deeper philosophical point :) Who gets to decide what is really a picture of a panda? If we'd manage to craft a picture that could with very high certainty trick human neural nets (for the sake of argument, including those higher cognitive functions) into believing something is a picture of a panda, "except it actually really isn't", what does that even mean? Human insists it's a picture of a panda, computer classifier maintains it's noise and shapes. Who is right? :)
- JoeAltmaier 12y agoInteresting, sure. But I started out wondering if some obviously-noise picture could be found that fooled humans, at least at first glance. "Hey a panda! Wait, what was I thinking, that's just noise!" It would be weird and cool, on the order of the dress meme etc. but much more so. Kind of like the memes in Snowcrash, ancient forgotten symbols that make up the kernel of human thought.