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, r...
on the social consequences of emerging tech