This is true for AI research too -- the attention of the community is constantly being captured by shiny objects, but these are not the ideas and results that will be retrospectively understood as having shaped the field
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The worst thing you can do as a researcher is to be constantly moving from one shiny object to the next, and never stop to consider the important questions
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This is perhaps exacerbated by social media, which not only directs our attention to the wrong things, but also creates an incentive system where you get rewarded for "contributing" to the latest fad or controversy
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