lot poured into improving machine translation, little/none attacking problem from other direction: teaching humans to write to be machine-translated
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most of the time "automation" is really about forcing humans to adapt to technology to eke out incremental productivity gains
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it takes a large disruption of the labor force to overcome the initial investment hurdle required to replace a swath of workers in one swoop
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I thought of the language thing because I was reminded of a poetically depraved anecdote from one of those articles on amazon warehouses
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(if you know what this is from pls link because I want to quote it in something and can never find it)
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the background is amazon warehouses are rather tightly run, people are equipped with headsets that command them exactly what to do at any moment
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and management is made into a "perfect" bureaucracy, zero individual judgement, entirely process-based, you live or die by your pick rate
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so this story on the warehouse floor, someone knocks over a can of paint. the workers, just as robots, trudge through the paint like it isn't even there
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now obviously these people are conscious of what they are doing, whereas a robot might just not be programmed for that contingency. but the behavior is identical
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the reason for this is because of simple incentives structures. if they stopped to clean up the paint, it would trash their metrics
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anyway, there's no reason you can't do that to white collar types presuming you deskill the work enough, this is the logical conclusion of fordism
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i always thought that the limited NLP interfaces of the old adventure games ("pick up the sword") were a technique of broader applicability
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the problem of machine translation is gradually being replaced by everyone speaking English.
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or how we've frequently replaced language with pictures, numbers and data.
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This is Loglan, right? Are you reinventing Loglan?
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