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==Explanation==
 
==Explanation==
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This comic references the approach of using {{w|CAPTCHA}} inputs to solve problems, particularly those involving image classification, which are not solvable by computers, specifically {{w|reCAPTCHA}} v2's fallback puzzle, and hCaptcha's puzzle, both of which are based on identifying road features and vehicles. A reCAPTCHA version of this puzzle would ask "check all squares containing a STOP SIGN" using one or more images derived from {{w|Google Street View}}.
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This comic references the approach of using {{w|CAPTCHA}} inputs to solve problems, particularly those involving image classification, which are not solvable by computers, specifically {{w|reCAPTCHA}} v2's fallback puzzle which is based on identifying road features and vehicles. A reCAPTCHA version of this puzzle would ask "check all squares containing a STOP SIGN" using one or more images derived from {{w|Google Street View}}.
  
 
Such an approach can serve to create the learning set as the basis for training an {{w|artificial intelligence}} (AI) to better recognize or respond to similar stimuli. This approach was used by Google, the owners of reCAPTCHA, to identify house numbers in Street View to improve their mapping, and nowadays Google also uses CAPTCHAs to identify vehicles, street signs and other objects in Street View pictures. This might be a reasonable way to help improve the performance of the AI in a self-driving car that responds to video input, by reviewing images it might encounter and flagging road signs, etc. that it should respond to. Later a similar approach to learning important things, for the robots, was used in [[2228: Machine Learning Captcha]].
 
Such an approach can serve to create the learning set as the basis for training an {{w|artificial intelligence}} (AI) to better recognize or respond to similar stimuli. This approach was used by Google, the owners of reCAPTCHA, to identify house numbers in Street View to improve their mapping, and nowadays Google also uses CAPTCHAs to identify vehicles, street signs and other objects in Street View pictures. This might be a reasonable way to help improve the performance of the AI in a self-driving car that responds to video input, by reviewing images it might encounter and flagging road signs, etc. that it should respond to. Later a similar approach to learning important things, for the robots, was used in [[2228: Machine Learning Captcha]].

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