If we’re supposedly training AIs to recognize cars, busses, etc. by filling in CAPTCHAs, how come we are still teaching them the same stuff as 10 years ago? Shouldn’t the images have gotten harder or more sophisticated, to reflect the AIs increasing ability to recognize objects?

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I’ve been filling them out now for nearly 10 years, and they’re always the same! If someone can explain to me how this can be, I’d be very grateful <3

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Anonymous 0 Comments

I have a very very vague memory of a comp sci lecturer saying that it wasn’t actually so much to do with getting it right but more to do with how you came to getting it right. It doesn’t matter if the robot gets it right, it looks at the way your mouse moves, speed of answer and the pattern of selection. If you’re too rigid/consistent, you’re a robot. Pretty sure that’s how the “tick box if you’re not a robot” ones work too, just mouse tracking to see how imprecise/inconsistent you are.

Would be great if someone could confirm or deny if this is correct? If it is, that’s why it doesn’t matter how hard the “puzzles” are. I suppose it’s really hard for a robot to act organically messy? Maybe we’re not training the ai to find cars but more to identify them in an innately human way

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