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Building Human-Level A.I. Will Require Billions of People

The Great AI hunger appears poised to quickly replace and then exceed the income flows it has been eliminating. If we follow the money, we can confidently expect millions, then billions of machine-learning support roles to emerge in the very near-term, majorly limiting if not reversing widespread technological unemployment. Human-directed  machine learning  has  emerged  as the  dominant  process  for the creation of  Weak AI  such as language translation, computer vision, search, drug discovery and logistics management. I ncreasingly, it appears  Strong AI , aka  AGI  or "human-level" AI, will be achieved by bootstrapping machine learning at scale, which will require billions of  humans  in-the-loop .  How does human-in the-loop machine learning work? The process of training a neural net to do something useful, say the ability to confidently determine whether a photo has been taken indoors or outside, requires feeding it input content, in this case thousands of diff