this post was submitted on 17 Jan 2025
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Interesting Global News

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Apple sidelines AI news summaries due to errors (www.rfi.fr)
submitted 1 day ago by [email protected] to c/[email protected]
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Apple pushed out a software update on Thursday which disabled news headlines and summaries generated using artificial intelligence that were lambasted for getting facts wrong.

The move by the tech titan comes as it enhances its latest lineup of devices with "Apple Intelligence" in a market keen for assurance that the iPhone maker is a contender in the AI race.

Apple's decision to temporarily disable the recently launched AI feature comes after the BBC and other news organizations complained that users were getting mistake-riddled or outright wrong headlines or news summary alerts.

Apple deployed the update to developers working with a beta version of its software, sidelining the AI feature for news headlines.

The tech giant plans to restore the feature when it is working properly and eventually roll it out to all users.

Apple in June of last year unveiled new iPhones built with generative AI as it seeks to boost sales and show it is keeping up in the technological arms race.

"Apple Intelligence" is a new suite of software features for all devices that was announced at the company's annual developers conference, where it also announced a partnership with ChatGPT-maker OpenAI.

In the short-term, the new powers include AI-infused image editing, translation, and small, creative touches in messaging, but not more ambitious breakthroughs promised by other AI players, such as OpenAI or Google.

The features are similar to tools recently released by Meta, Microsoft and Google, which can produce well-crafted content simply by querying in everyday language.

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[–] Boinkage 5 points 17 hours ago

Honey, the hallucination machine is hallucinating facts again.

[–] [email protected] 4 points 16 hours ago

Generative program worked as designed. Who could possibly have seen this coming?

[–] [email protected] 2 points 20 hours ago

They just need to iron out the bugs, which cause a statistical prediction engine to generate output that, while structurally plausible, may not be true. Once they’ve nailed that, it’ll be all systems go.