The Meta Al chatbot is more willing to share what data it was trained on than Meta is.

When Business Insider asked Meta Al a series of questions about what data it was trained on and how Meta obtained such data, the chatbot gave some interesting answers.

Meta Al told Business Insider that it was trained on large datasets of transcriptions from YouTube videos. In addition, it said Meta has its own web scraper bot called "MSAE," an acronym for Meta Scraping and Extraction, which it said scrapes large amounts of data from the web to train Al models.

Meta had not disclosed the existence of this scraper before. YouTube's terms of service prohibit the use of bots and scrapers to collect its data, and the use of such data without its permission, something OpenAl has recently come under scrutiny for purportedly doing.

A Meta spokesman did not deny any of Meta Al's answers about its scraper or training data. BI provided Meta with the prompts it used. Instead, the spokesman suggested that Meta Al could be incorrect.

"As with all generative Al systems, the models could return inaccurate or inappropriate outputs," the spokesman said. "We'll continue to improve these features as they evolve, and more people share their feedback."

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