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+this. Freely available data is a huge value to everyone. We use it in academia, and it's useful in companies big and small. (Even at Google -- I started exploring some of my research questions using MNIST and Imagenet because they're baselines that allow reproducibility, and because you don't have to deal with the privacy issues. For amusing anecdotes about this, consider what the Smart Reply team had to do: http://googleresearch.blogspot.com/2015/11/computer-respond-... It's much harder to train a network when you can't ever look at the training data!)

The best thing the assorted communities involved in this effort could do to accelerate the advance of open, accessible machine learning is to create good creative-commons datasets that anyone could use to train models that could be released open source. And as an academic, let me say that hundreds of researchers would figuratively kiss the ground you walk on for doing so. :)




>Another bizarre feature of our early prototype was its propensity to respond with “I love you” to seemingly anything. As adorable as this sounds, it wasn’t really what we were hoping for.




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