"Knowledge is embedded in language neural networks but can they reason?," talk by @chrmanning: https://www.youtube.com/watch?v=KybSRPC3e64 … h/t @AmandaAskell
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because
@GaryMarcus is completely free of bias? Don't get me wrong, diversity of ideas is important, but your argument to discredit the statistical approach is nonesense.
I certainly would never claim to be free of bias, but the core arguments I have made have held true for two decades, and those who would oppose my views tend to do so through ad hominem attacks rather than a focused critique of what I have actually said. not a good sign.
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I don't attack you or your views. I enjoy the debates around this topic, keep it up! The way
@AlanMorrison has put it though implies that@chrmanning and others are somehow more prone to bias than you or Pinker are. Why not say: "That's interesting, and here's an opposing view." -
Certainly not my intent to stifle debate. Just want to include others who have worthy points of view on the topic. Everyone has a bias.
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people can be biased and still be correct, this book comes at an important time when the fake-it-til-you-make-it culture of Silicon Valley (and the MIT Media Lab + who knows how many more AI-touting research institutions) is becoming more evident http://hal.pratt.duke.edu/sites/hal.pratt.duke.edu/files/u35/misperceptionAI%2026AUG.pdf …
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From the paper
@missy_cummings shared: "The ramifications of the 'fake-it-‘till-you-make-it' culture in driverless cars has led to inflated and unrealistic expectations that are driving a hypercompetitive first-to-market race, which is quickly becoming prohibitively expensive."
End of conversation
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