Misusing ML systems that work can be dangerous. Trusting systems that don't work (in some cases, systems that couldn't possibly work) may be an even more pressing issue.
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This wave of AI hype will have dire consequences. Not just for our field. For public safety. Overselling the progress & capabilities of AI leads govts & companies to adopt shoddy "AI" solutions (which contractors are more than happy to sell). And blindly trust their predictions.
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Startups that are hyping up magical AI/AGI fantasies in order to raise money are one of the main causes of the problem. Because they shape the public discourse. They shape the perceptions of decision-makers. The media is more than happy to relay -- the media loves outrageous hype
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Ugggggh the government and corporations are literally the AI. There is no separate AI. This whole system is AI.
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Yes, isn't that how global financial trading systems and national economies also work? They all seem to be doing... Oh, hang on.
#infinitemonkeys#rationalmarkets#perfectknowledge
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This is one of the reasons I am skeptical about things like Neuralink.
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Agreed! We need more conceptual discipline and restraint in hyping AI and over-reliance upon it, respectively. We take a hard look at the limits of machine intelligence and get pretty philosophical considering it's a business book...https://www.routledge.com/The-Humachine-Humankind-Machines-and-the-Future-of-Enterprise-1st-Edition/Sanders-Wood/p/book/9781138571341 …
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I totally agree
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I needed this question bounced off an industry authority. Do you see ML as a real arm of AI or would you rather relegate it as a means for AI to achieve real word stimulus? Still simply - how would "you" define AI?
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