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A team of researchers at the Universities of Arizona, Georgia, and South Florida, have developed a machine-learning-based CAPTCHA solver that they claim can overcome 94.4% of real challenges on dark websites.

The authors have published the final version of their solver on GitHub, but not the training data set of 50,000 CAPTCHA images.

Someone could presumably work on this model to derive something that works on weak clearnet CAPTCHA implementations too.

> A team of researchers at the Universities of Arizona, Georgia, and South Florida, have developed a machine-learning-based CAPTCHA solver that they claim can overcome 94.4% of real challenges on dark websites. > The authors have published the final version of their solver on GitHub, but not the training data set of 50,000 CAPTCHA images. > > Someone could presumably work on this model to derive something that works on weak clearnet CAPTCHA implementations too.

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I use gboard. Best keyboard ive ever had was on an htc though which actually had an arrow to move the cursor and was incredibly useful for editing.

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I used a custom one that could make the spacebar bigger but it didn't integrate well and was gitchy.