Comments by "Sean Fitzgerald" (@seanfitzgerald4207) on "Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI | Lex Fridman Podcast #74" video.

  1. This occurred to me while listening to Lex and Michael I Jordan go back and forth about recommendation systems: using all past behavior to generate new recommendations is not the best way b/c most interesting things about us may not be in the data of our historical usage/puchases/etc...wanting recommendation systems to get at principals and our values and serving up recommendations that could tap into those (but are not intuitive based on past history alone) we have an analogy in recruiting to this: culture fit vs culture add culture fit generally refers to the degree to which candidates' values/beliefs/principals/etc.. mesh with those of the existing organization whereas culture add is about how do candidates' values/beliefs/mindsets/points of view/life experiences/etc... enhance existing organization in new ways
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