The F1 student Visa fraud explained :
(twitter.com)
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It goes further again, into secondary and primary education in the West.
Teachers need a certificate these days to say they can teach. What do they teach? Progressivism with a heavy Marxist slant because that's what the universities require them to know in order to pass.
Once AI has it all figured there won't be any need for people, well people outside the elites who might want someone to bully for their kicks.
As Google showed us with their woke AI model, it really depends on the training data.
The number of people who fundamentally misunderstand AI, even on this board, is a source of deep despair.
Enlighten us.
AI, or LLMs more specifically since that's the most visible variant, are basically just doing a whole bunch of math to predict the next symbol in a sequence of symbols based on probabilistic weights. So when you give it the input:
It takes a whole bunch of training data and sees that numerical symbols bunched together are often paired with operator symbols. This is determined by frequency of symbol patterns occurring in the training data. The vast majority of the time a set of numbers and operators ends with an equals sign(=) followed by another number. But sometimes it's a variable. The model itself has no actual knowledge of the symbols, they're just a pattern determined by frequency of occurrence and a big ol' hunk of math plus a pseudo-random seed used to simulate variance of response. So you can get a response that 2+2=4, or you could get a response of 2+2=5(because that's a symbol sequence that shows up a lot as an example of absurd claims during discourse on the internet which is what makes up most of the training data). However you can also get something like 2+2=x, because that's something that'll show up as a math exercise from some textbook that got fed into the training data. The seed is what will ultimately determine what kind of response comes out.
AI is basically a very advanced RNG-based spellcheck.
It has no knowledge and it cannot reason. It's all just weighted probabilities + some randomized variance.