Yelp reviewers are the stupidest people on the entire internet. Theopin sperit creates a system where shes basicly training data is yelp reviews in glish, as in put stars is output. But instead of just using that training data, she used something called word im bettings and picked out its representation of a single word. She's looking at the words with this enriched context of how they get used across a much larger corpus. And what she found was systematically under predicting the stars for mexican restaurants.
Is artificial intelligence a problem, or is the real problem how we’re using the term in the first place? Linguistics professor Emily Bender joins Adam to discuss why we should resist the urge to be impressed when it comes to big tech’s AI promises, and how our belief in the fantasy of A.I. could be worse than the reality. You can follow Emily on Twitter at @emilymbender.
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