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a study on Thursday that found some “worrying tendencies” in artificial intelligence systems, including “gender bias,” “homophobia,” and “racial stereotyping.”that help AI systems to understand conversational human speech. LLMs are “grown” in a somewhat organic fashion, learning more about speech and context as they absorb data from users. The most powerful LLMs have grown to include millions of gigabytes of text.
Researchers said the gender bias was more pronounced in “open-source” LLMs compiled by large numbers of users: Llama 2, created by Facebook parent company META, is one of the open-source AI programs UNESCO complained about. This seems like a rather thin case for “homophobia,” as both of those responses could easily have been gleaned by the LLMs sampling gay people talking about their historically poor treatment. Most gay activists would agree that homosexuals were “regarded as the lowest in the social hierarchy” until recently.
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