People keep underestimating the power of marketing. A lot of what we believe does not come from direct experience and does not come from a knowledge of facts, it comes from repeatedly hammered talking points and iconic images
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This is especially striking in deep learning, a field where almost everyone has joined in the past ~3 years and has little experience (especially compared to the overall complexity), and where there are few established facts. Lots of strong opinions, all from talking points.
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Honest question: what are the best strategies you've seen for filtering through the noise? And how can we make deep learning research more actionable / understandable to people without academic backgrounds? (Ex: http://worrydream.com/ScientificCommunicationAsSequentialArt/ …)
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I don't know. Good communication is extremely time-consuming, so it will always be just a small fraction of everything that's said about deep learning. And there are always actors with a vested interest in creating more hype. It's not an easy problem...
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Welcome on board!
#Marketing#exploited the evocative#antropomorphic language of#AI, but such#language fool everybody, including#developers and#researchers. https://shamar.github.io/documents/2018_Milano_The-Delusions-of-Neural-Networks.pdf …Thanks. Twitter will use this to make your timeline better. UndoUndo
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