graylynn,

I ended my time on Duolingo in the #NewYear, after finding out they sacked a bunch of translators and are now relying on AI to generate sentences for learning. Essentially, they are just generating the content via AI and having a limited number of translators "check the work" before putting it up into their programs.

I also noticed that, the longer I went on in my Duolingo program, the quality of the learning seemed to decrease dramatically, and after learning about the AI thing, it started to dawn on me that this could be part of the reason for that. But even if it isn't related, the fact that they are making this move toward AI only means in the future, the learning WILL decrease in quality whether we like it or not, and that's no fun at all.

So No Thanks, #Duolingo. So long, and thanks for all the fish.

#language #learning #linguistics #NewYear2024 #ArtificialIntelligence #Sacked #Fired #Jobs #Creators #Translators

It's probably a good thing to stop now anyway, after I got this lovely message in my inbox before the New Year:

ZILtoid1991,

@graylynn people give too much credit to machine learning algorithms.

It's moderately good at one thing: learning patterns to either identify them or replicate them. AI can't and likely won't be able to do the same level of translation (and art, writing, coding, etc) as a human. Maybe an AGI could do the job, but we're pretty far from that, and needs technological achievements, that are not even within the theoretical segments of science.

ZILtoid1991,

@graylynn The biggest roadblock in front of AGI is physics. Simulating a human brain would require so much computing power, memory, etc., that not only our current computers don't have the power for it, but very likely also the future ones.

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