• @[email protected]
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    11 year ago

    exactly what recaptcha does, for example. Knowing that you have to type a word because a computer failed to identify which word is it makes creating a program that does that no easier. Same with the image ones. While criptography is a different problem, the argument is the same: you want something that can be verified to be hard to break otherwise someone will eventually figure it out

    • @[email protected]
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      11 year ago

      If you have a known algorithm for generating those hard-to-read images, then it really wouldn’t be that difficult to generate a large enough set yourself to train a custom ML model to solve them. The same would apply to audio challenges.

      Only one person would need to do it then they could share the process, potentially automating others being able to bypass as well.

      I like the idea of captcha being open, but unlike encryption as far as I know we don’t have a starting point on something that is actually easier for humans when all information is available. Until something like that exists, open sourcing to implement and improve it doesn’t make sense if you want an effective product.

      • @[email protected]
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        11 year ago

        The text is not generated. It’s from photos of books that failed ocr. The photos are then distorted to make it even harder in order to become that captcha. 2 words are used 1 is a control (to know if the response is correct), the other is one they what to know what says (to add to the pool of words and finish digitizing the book).