Microsoft’s take on AI-powered search struggles with accuracy

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Microsoft’s take on AI-powered search struggles with accuracy
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Microsoft's Bing chatbot is under scrutiny barely a week after Google Bard's own announcement debacle.

Monday detailing numerous glaring issues in their experience with a ChatGPT-powered Bing. Bing’s demo frequently contained shoddy information: from inaccurate recommended product details, to omitting or misstating travel stop details, to even misrepresenting seemingly straightforward financial reports. In the latter instance, Bing’s AI summation of basic financial data—something that should be “trivial” for AI, per Brereton—contained completely false statistics out of nowhere.

As companies inevitably rush to implement “smart” chatbot capabilities into their ecosystems, critics argue it’s vital that these issues be tackled and resolved before widespread adoption. For , an Associate Professor at NYU Tandon School of Engineering, the missteps were wholly unsurprising, and Microsoft debuted its technology far too early.“At a high level, the reason why these errors are happening is that the technology underlying ChatGPT is a[emphasis Hedge] large language model, so there is inherent uncertainty in its output,” he writes in an email to PopSci. “We can never be absolutely certain what it’s going to say next.

“I am shocked that the Bing team created this pre-recorded demo filled with inaccurate information, and confidently presented it to the world as if it were good,” Brereton writes in their blog post before admonishing, “I am even more shocked that this trick worked, and everyone jumped on the Bing AI hype train without doing an ounce of due diligence.”Andrew Paul is Popular Science's staff writer covering tech news. Previously, he was a regular contributor to The A.V.

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