In this episode, we talk about how to train your AI recommendation engine to give you better results, and discuss the growth in music recommendation quality in particular. How much of the future is about the actual work of training your AI assistants? The reinforcement that you give them develops a model of you but simultaneously, you develop a model of it. What about if we got an algorithm admin panel to fine tune our AIs? How will algorithms handle context? We also dive into the mailbag and discuss some of the listener feedback we’ve gotten. In wondering who would be the mainstream spokesperson for futurology, we ask: Who is the Neil DeGrasse Tyson of the future? Tweet us your ideas @RTF_Podcast.

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