This sounds like a loaded question but... Why don't more people who talk about AI $subject (eg, ethics, policy, strategy) actually engage with foundational technical literature? What is the plausible justification for not habitually skimming Arxiv?
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I think I might fail this test, but I think I could explain, say, backprop in a way that made sense to them, then connect that to interesting innovations eg resnets, skip gates, etc, and tie this to progress in image recognition as a whole. (And that feels like it'd be useful)
It's not meant seriously (though something similar in spirit might be useful). I certainly think you should be talking to reporters! Didn't mean to imply otherwise.
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Oh, no, I think it's a really interesting idea and wanted to engage with it honestly! No offense taken
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