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 Apple is set to launch two new low-cost devices tomorrow, the iPhone 17e and the MacBook Neo. Both devices use A-series chips, which have historically been limited to the iPhone and iPad.
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 It's Wednesday, March 11 in Australia and New Zealand, which means it's the official launch day for all of the products Apple introduced last week, including the new low-cost MacBook Neo, the iPhone 17e, the M5 Pro and M5 Max MacBook Pro models, the Studio Display, the ?Studio Display? XDR, the M4 iPad Air, and the M5 MacBook Air.
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AI companies have been spending a lot of time in court arguing copyright cases over the past year and the latest plaintiff is Gracenote, the metadata company owned by Nielsen. Axios reports that Gracenote is suing OpenAI for the unauthorized and unpaid use of both its metadata and its framework for connecting that information.
Gracenote specializes in entertainment metadata, creating descriptions and identifiers for content that clients such as TV providers use to help their own customers with discovery. Most of the lawsuits against AI businesses have focused on the content used to train LLMs, but the Gracenote case brings an extra layer with the alleged infringement of the structure or sequence for a dataset in addition to the actual data.
"Defendants could have paid Gracenote to license its valuable Gracenote Data. Or they could have sought to train and ground their models only on information in the public domain. They did neither. Defendants instead improperly copied and used Gracenote Data to create their own commercially valuable AI products, all without paying a dime," the complaint states. The company claims that its previous attempts to work with OpenAI for a licensing agreement were rebuffed or ignored. Gracenote has recently inked deals to back AI ventures from other companies, including Samsung and
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 Apple considered but abandoned plans for a flip-style foldable iPhone because it didn't create compelling new use cases, according to Weibo leaker Instant Digital. Apple reportedly felt that it was an "unnecessary" design because the biggest selling point would have been its smaller size when folded.
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The iPhone 17e is here. Here are all the details on Apple's smartphones to help you find the right model, whether that's the ultralight iPhone Air or the orange iPhone 17 Pro.
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 Apple's Mac lineup will soon span a wider price range than ever, from the new $599 MacBook Neo to a rumored top-of-the-line MacBook "Ultra" expected later this year. However, new research suggests the broader laptop market could be heading for a painful price adjustment.
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The UK government is working on a controversial data bill that would allow AI companies like Google and OpenAI to train their models on copyrighted materials without consent. However, following a two month consultation, it looks like passage of the law will be delayed. "Copyright is going to be kicked down the road," a person with knowledge of the matter told The Financial Times.
Responses by stakeholders during the consultation period weren't favorable to any of the government's proposed ideas for use of copyrighted materials, the FT's sources said. There's no expectation now that an AI bill will be part of the King's Speech set for May this year.
As a result, Ministers have decided to go back to the drawing board and spend more time exploring other options. The House of Lords Communications and Digital Committee called on the government to develop a licensing-first regime "underpinned by robust transparency that safeguards creators' livelihoods while supporting sustainable AI growth."
The UK parliament's preferred position on the bill (also argued by tech giants like Google) has been that copyright holders need to formally opt-out if they don't want their materials used to train AI models. However, publishers, filmmakers, musicians and others have said that this would be impractical and an existential threat to the UK's creative industries.
The House of Lords took the side of artists and introduced an amendment that would require tech companies to dis
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Large language models (LLMs), the algorithmic platforms on which generative AI (genAI) tools like ChatGPT are built, are highly inaccurate when connected to corporate databases and becoming less transparent, according to two studies.
One study by Stanford University showed that as LLMs continue to ingest massive amounts of information and grow in size, the genesis of the data they use is becoming harder to track down. That, in turn, makes it difficult for businesses to know whether they can safely build applications that use commercial genAI foundation models and for academics to rely on them for research.
To read this article in full, please click here
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