1/2 That aficionados to the allure of AI do not understand ML algorithms does not mean to imply that those who build them do not! >>https://www.theguardian.com/commentisfree/2018/aug/05/magical-thinking-about-machine-learning-will-not-bring-artificial-intelligence-any-closer?CMP=share_btn_tw …
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Yeap, we may need joining forces and avoid hype
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If you think LW are marginal... Sadly starting to connect the dots becomes depressing how high up their influence is. https://rationalwiki.org/wiki/Roko's_basilisk …
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It's no coincidence Musk reads their BS, dates people based on their BS:https://www.inverse.com/article/44612-elon-musk-grimes-rococo-basilisk …
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Also with respect to "alchemy". Agreed on some level, but the worst ABSOLUTE WORST, aspect is not any specific casting of AI as bad but the utter inability to debate without reference to LW BS. Some AI is bad, some AI is alchemy. Really recommend this BTW:https://youtu.be/x7psGHgatGM
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Hmm, some AI is done badly for sure but I guess that that applies to any "young" discipline where research is still at a "trial and error" stage. Reminds me of steam engines and thermodynamics. We need more math analysis a la Mallat.
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I'm not sure the point is it's done badly per se. Just that it's not always done scientifically. That's fine and AI/ML can choose to be engineering, science, or both.
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Provided that we know which position we are taking when drawing conclusions from the work we are dealing with: I.e., if the approach is that of engineering we should not present it as scientific knowledge
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Great article. I'd add that another massive danger is the blind faith by politicians thinking how good it is. "AI is great. Put that in a self driving car now." -- At a detection error of 0.1%? That means every 1000th pedestrian gets overrun? And if we don't know why?
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Unlike now? :)
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Starting driving right now btw
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