Apple’s use of fake data to train AI is not as weird as it sounds

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Last weekend, Bloomberg’s Mark Gurman and Drake Bennett published a comprehensive look into what went wrong with Apple Intelligence.

The piece details everything from years-long oversights to a deep misunderstanding of AI’s potential at the company’s highest levels. But more importantly, it also outlines what Apple is doing now to catch up. One of those efforts? A push into synthetic data.

As Gurman and Bennett put it:

All this has left Apple’s researchers more heavily…



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Apple’s use of fake data to train AI is not as weird as it sounds


Last weekend, Bloomberg’s Mark Gurman and Drake Bennett published a comprehensive look into what went wrong with Apple Intelligence.

The piece details everything from years-long oversights to a deep misunderstanding of AI’s potential at the company’s highest levels. But more importantly, it also outlines what Apple is doing now to catch up. One of those efforts? A push into synthetic data.

As Gurman and Bennett put it:

All this has left Apple’s researchers more heavily…



Source link

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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