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Elon Musk threatens to ban Apple devices at his companies over its new OpenAI deal
Tesla CEO Elon Musk is threatening to ban his employees from taking Apple devices into their workplaces after Apple CEO Tim Cook announced a partnership on Monday to integrate OpenAI’s artificial intelligence technology into its operating systems.
On Monday evening, Musk wrote on his social media platform X that adding OpenAI’s tech into Apple’s systems “is an unacceptable security violation.” He added that visitors to his businesses, which also include SpaceX, “will have to check their Apple devices at the door, where they will be stored in a Faraday cage.”
Musk’s threat to ban Apple devices at his workplaces, which employ more than 100,000 workers across Tesla, SpaceX and X alone, comes amid a legal battle between the Tesla CEO and OpenAI. In March, Musk sued OpenAI and its CEO, Sam Altman, alleging that the artificial intelligence company had violated its original mission statement by putting profits over benefiting humanity.
Apple’s announcement of its partnership with OpenAI emphasized that users’ personal data would remain private, even as the iPhone maker integrates AI into operating systems including iOS 18 and macOS Sequoia. The tech giant said it won’t collect data on users or search their personal data stored on their devices when they use the AI system.
Yet Musk expressed skepticism that that Apple users’ personal data will remain private.
“It’s patently absurd that Apple isn’t smart enough to make their own AI, yet is somehow capable of ensuring that OpenAI will protect your security & privacy!” Musk wrote on X. “Apple has no clue what’s actually going on once they hand your data over to OpenAI. They’re selling you down the river.”
Apple didn’t immediately respond to a request for comment.
Musk helped found OpenAI in 2015, but stepped down from its board in 2018. At the same time, he is working to build a rival AI company, xAI, which has recruited researchers from OpenAI and other top tech firms with the mission to “maximally benefit all of humanity.”
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A study to devise nutritional guidance just for you
It’s been said the best meals come from the heart, not from a recipe book. But at this USDA kitchen, there’s no pinch of this, dash of that, no dollops or smidgens of anything. Here, nutritionists in white coats painstakingly measure every single ingredient, down to the tenth of a gram.
Sheryn Stover is expected to eat every crumb of her pizza; any tiny morsels she does miss go back to the kitchen, where they’re scrutinized like evidence of some dietary crime.
Stover (or participant #8180, as she’s known) is one of some 10,000 volunteers enrolled in a $170 million nutrition study run by the National Institutes of Health. “At 78, not many people get to do studies that are going to affect a great amount of people, and I thought this was a great opportunity to do that,” she said.
It’s called the Nutrition for Precision Health Study. “When I tell people about the study, the reaction usually is, ‘Oh, that’s so cool, can I do it?'” said coordinator Holly Nicastro.
She explained just what “precise” precisely means: “Precision nutrition means tailoring nutrition or dietary guidance to the individual.”
The government has long offered guidelines to help us eat better. In the 1940s we had the “Basic 7.” In the ’50s, the “Basic 4.” We’ve had the “Food Wheel,” the “Food Pyramid,” and currently, “My Plate.”
They’re all well-intentioned, except they’re all based on averages – what works best for most people, most of the time. But according to Nicastro, there is no one best way to eat. “We know from virtually every nutrition study ever conducted, we have inner individual variability,” she said. “That means we have some people that are going to respond, and some people that aren’t. There’s no one-size-fits-all.”
The study’s participants, like Stover, are all being drawn from another NIH study program called All Of Us, a massive undertaking to create a database of at least a million people who are volunteering everything from their electronic health records to their DNA. It was from that All of Us research that Stover discovered she has the gene that makes some foods taste bitter, which could explain why she ate more of one kind of food than another.
Professor Sai Das, who oversees the study at Tufts University, says the goal of precision nutrition is to drill down even deeper into those individual differences. “We’re moving away from just saying everybody go do this, to being able to say, ‘Okay, if you have X, Y and Z characteristics, then you’re more likely to respond to a diet, and somebody else that has A, B and C characteristics will be responding to the diet differently,'” Das said.
It’s a big commitment for Stover, who is one of 150 people being paid to live at a handful of test sites around the country for six weeks – two weeks at a time. It’s so precise she can’t even go for a walk without a dietary chaperone. “Well, you could stop and buy candy … God forbid, you can’t do that!” she laughed.
While she’s here, everything from her resting metabolic rate, her body fat percentage, her bone mineral content, even the microbes in her gut (digested by a machine that essentially is a smart toilet paper reading device) are being analyzed for how hers may differ from someone else’s.
Nicastro said, “We really think that what’s going on in your poop is going to tell us a lot of information about your health and how you respond to food.”
Stover says she doesn’t mind, except for the odd sounds the machine makes. While she is a live-in participant, thousands of others are participating from their homes, where electronic wearables track all kinds of health data, including special glasses that record everything they eat, activated when someone starts chewing. Artificial intelligence can then be used to determine not only which foods the person is eating, but how many calories are consumed.
This study is expected to be wrapped up by 2027, and because of it, we may indeed know not only to eat more fruits and vegetables, but what combination of foods is really best for us. The question that even Holly Nicastro can’t answer is, will we listen? “You can lead a horse to water; you can’t make them drink,” she said. “We can tailor the interventions all day. But one hypothesis I have is that if the guidance is tailored to the individual, it’s going to make that individual more likely to follow it, because this is for me, this was designed for me.”
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Story produced by Mark Hudspeth. Editor: Ed Givnish.
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