Take any paper that make heavy use of such metaphors and replace the neuroscience vocabulary with the corresponding terms from mathematics or signal processing (e.g. "fully-connected neural layer" -> "affine transform"). It suddenly sounds very different. It cuts through the hype
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This is true at the level of scientific paper, and even truer in public discourse. The term "AI" encourages people to think that our goal is to create artificial humans. In fact, automating cognition is not about replacing ourselves, it is about augmenting our capabilities.
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Yes true. Also I think this is the reason why many people are hesitant to adopt Ai into their business/daily life. People fail to understand that Ai at the core is simply linear algebra and statistics
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Or perhaps part of the cause for the hesitation is because people understand exactly that current "AI at the core" is "simply linear algebra and statistics"?
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are you suggesting a different technical reference for AI field despite of the brain's neuron analogy?
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it seems that way and that would be good.
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I have considered this so many times. As always an excellent point.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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@threadreaderapp unroll -
Hello there is your unroll: Thread by
@fchollet: "The words we use to name things change our perception of those things independently of their actual nature. A lot of the […]" https://threadreaderapp.com/thread/994273408627064832.html … Share this if you think it's interesting.
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Saluti please find the unroll here: Thread by
@fchollet: "The words we use to name things change our perception of those things independently of their actual nature. A lot of the […]" https://threadreaderapp.com/thread/994273408627064832.html … Enjoy :)
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