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In order to jump through the hoops to genuinely convince folks
they're dealing with "general intelligence" it is likely going to be
necessary for the "AI" to emulate the jumbled up bag of cognitive
errors and biases that make people human. When the "AI" attributes
much more significance to loss of something than gaining that same
thing, for instance, then we might go "Whoa! That thing is creeping
me out it's so real!"<br>
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:-)<br>
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-Pete<br>
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<div class="moz-cite-prefix">On 7/29/19 11:08 AM, John Vaughters via
TriEmbed wrote:<br>
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<div dir="ltr" data-setdir="false">What we (Society) call
Machine Learning, I call weighted big data with Artificial
Stupidity. Yes the machine is learning, NO it is not
intelligent. Quite the opposite. In fact, it reminds me of the
old Sesame Street game, One of these does not belong with the
other. Smart comparisons based on big data inputs with massive
processing. The current Machine Learning will be useful as a
tool, similar to a ratchet wrench is to a car. It will help us
for specific tasks, but not all tasks. Ever try to use a
ratchet wrench as a hammer, right, well it does work, but can
give very bad results. That is experience talking :) </div>
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