“Software is simply the encoding of human thought” — Chris Dixon
You may not realize it, but every time you interact with an Artificial Intelligence product — such as photo tagging suggestions — you are benefitting from the unseen labor of hundreds of thousands, or even millions, of data labellers.
Traditionally, AI products are created by Google, Apple, Facebook, and Amazon (GAFA), and the data they use to train their products is consolidated within the company silos. GAFA create centralized services for billions of users, and harvest the generated data to train AI products. For other Machine Learning practitioners, it is difficult to access sufficient data for both training and quality control.
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