Of course predictive text messaging is sufficient to mimic a talking racist orange wig, but this is more sophisticated.
There are few tricks along the way, of course. The algorithm knows, for example, the probability that a particular topic will appear in a speech. It then chooses topics by working out what other topics the speech already contains and determining how well these are being covered. The results are surprisingly good. Here is an example of an automatically generated Democratic speech:
“Mr. Speaker, for years, honest but unfortunate consumers have had the ability to plead their case to come under bankruptcy protection and have their reasonable and valid debts discharged. The way the system is supposed to work, the bankruptcy court evaluates various factors including income, assets and debt to determine what debts can be paid and how consumers can get back on their feet. Stand up for growth and opportunity. Pass this legislation.”
https://www.technologyreview.com/s/545606/how-an-ai-algorithm-learned-to-write-political-speeches/
Sister blog of Physicists of the Caribbean in which I babble about non-astronomy stuff, because everyone needs a hobby
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As far as I can tell, it's just an elaborate Markov chains exercise.
ReplyDeleteThe problem is, this might not be a problem.