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iPhone storage full? Check your System Data.

iPhone storage full? Check your System Data.

Tech-news

“iPhone Storage Full.”

It’s a dreaded notification that some iPhone users have come to experience. It happened to me at my most recent holiday gathering while taking family photos. It wasn’t the first time, but it was certainly an inconvenient time.

Like most people who receive the storage full prompt, I immediately went to Settings, followed by General, then the iPhone Storage option in order to see what was taking up 256GB of space. Sure, I snap a lot of photos and there are dozens of apps on my phone that I no longer use that could be taking up much needed storage space. I hoped that if I found what was taking up so much space, I might be able to delete it and clear up some storage.

But, no. It wasn’t photos, or apps, or files, or documents that were filling up my iPhone this time. It was “System Data.” Eighty whole gigs of my iPhone, roughly one-third of its entire 256GB of storage, were being taken up by “System Data.”

System Data on the author’s iPhone ballooned to 80GB on Thanksgiving.
Credit: Mashable screenshot

When I looked online, I found posts and threads on social media where other iPhone users shared their own System Data storage issues. One Reddit user had their System Data taking up as much as 128GB of their 256GB iPhone!

And worst of all, there’s nothing we could do about it.

What is System Data?

When clicking on System Data, the very last thing on the iPhone Storage settings page where all your apps and their file sizes are listed, iOS provides a very general explanation of what System Data is.

“System Data includes caches, logs and other resources currently in use by the system,” it reads. “This value will fluctuate according to system needs.”

Mashable Light Speed

System Data screen

Here’s how the iPhone describes “System Data.”
Credit: Mashable screenshot

To be clear, this isn’t the drive space that the operating system needs. That’s listed completely independently under iPhone storage. The same with data connected to each individual app. That’s rolled into the size of each app. This is some vague other thing. I reached out to Apple for more information. 

“System Data encompasses caches, logs, and other resources currently in use by the system,” Apple said. “This also includes temporary files that have a short lifecycle and are actively being used by iOS to keep the iPhone running smoothly.”

You’ll find that System Data fluctuates wildly. That 80GB of System Data on my iPhone that I mentioned earlier? It was down to 50GB the next morning.

“The size of System Data is managed by the system,” Apple said. “When the temporary files are no longer needed, the system cleans them up automatically, so changes to the size of System Data are expected.”

How can users clear iPhone’s System Data?

According to Apple, System Data is basically what iOS decides it needs to store pertaining to apps and other processes that are currently running or being used. But, what if a user wants to remove those temporary files immediately to open up space. Is there anything a user can do?

“iOS is designed to monitor and optimize storage usage, removing as many temporary files and caches as possible to free up space as needed without any required action from the user,” Apple said. “This automatic management takes into consideration the amount of available storage and helps ensure iPhone maintains optimal performance while preserving storage space. There isn’t a need for users to do this manually.”

So, in short, no. There’s nothing iPhone users can manually do to clear up unnecessary System Data when storage space is needed. iOS decides when and what to clean up. One Redditor on the previously mentioned Reddit thread even shared how their iPhone’s 167GB of System Data suddenly dropped down to 4GB on its own.

However, based on what Apple says and my own experience, this is what I’d recommend:

As soon as you notice your System Data is getting out of control, close all your unused apps out completely. To do this, simply swipe starting from the bottom of the screen and go upwards. All of your open app windows should appear stacked one behind the other. Swipe those windows up to completely close out the app. The System Data won’t clear up immediately. Again, Apple says users can’t control this. However, closing those apps did appear to move the process along as those temporary files are no longer needed once the apps are closed.

Hopefully, one day, Apple will allow users to force iOS to clear up System Data. But, until then, this is the best iPhone users can do.

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Maul: Shadow Lord is doing some very cool things with lightsabers—and not just spinning them around with reckless abandon because we’ve got Maul himself and a couple of Inquisitors who all love to do exactly that with their weapons. They look almost unlike any time we’ve seen the weapons in Lucasfilm’s past output: blades that flicker and snarl like their wielders do, living flames that carve paths of incandescent energy across the screen instead of that typically clean, minimalistic energy we see from them.

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It makes Shadow Lord look even more visually impressive than it already is, and of course, the idea of lightsabers as gouts of flaming plasma is also naturally very befitting everyone’s favorite slightly pathetic but trying-his-best edgelord in a character like Maul. But it turns out Shadow Lord‘s lightsabers—Maul’s specifically—are going the extra edgelord mile. Because there’s screaming in the sound mix.

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It’s long been clear that Witwer has put a lot of time and thought into his approach to Maul’s animated legacy over the past decade and a half, but now at least he’s put his vocals into it in a very different manner for Shadow Lord.

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Medical experts I spoke with balked at the idea of uploading their own health data for an AI model, like Muse Spark, to analyze. “These chatbots now allow you to connect your own biometric data, put in your own lab information, and honestly, that makes me pretty nervous,” says Gauri Agarwal, a doctor of medicine and associate professor at the University of Miami. “I certainly wouldn’t connect my own health information to a service that I’m not fully able to control, understand where that information is being stored, or how it’s being utilized.” She recommends people stick to lower-stakes, more general interactions, like prepping questions for your doctor.

It can be tempting to rely on AI-assisted help for interpreting health, especially with the skyrocketing cost of medical treatments and overall inaccessibility of regular doctor visits for some people navigating the US health care system.

“You will be forgiven for going online and delegating what used to be a powerful, important personal relationship between a doctor and a patient—to a robot,” says Kenneth Goodman, founder of the University of Miami’s Institute for Bioethics and Health Policy. “I think running into that without due diligence is dangerous.” Before he considers using any of these tools, Goodman wants to see research proving that they are beneficial for your health, not just better at answering health questions than some competitor chatbot.

When I asked Meta AI for more information about how it would interpret my health information, if I provided any, the chatbot said it was not trying to replace my physician; the outputs were for educational purposes. “Think of me as a med school professor, not your doctor,” said Meta AI. That’s still a lofty claim.

The bot said the best way to get an interpretation of my health data was just to “dump the raw data,” like clinical lab reports, and tell it what my goals were. Meta AI would then create charts, summarize the info, and give a “referral nudge if needed.” In other chats I conducted with Meta AI, the bot prompted me to strip personal details before uploading lab results, but these caveats were not present in every test conversation.

“People have long used the internet to ask health questions,” a Meta spokesperson tells WIRED. “With Meta AI and Muse Spark, people are in control of what information to share, and our terms make clear they should only share what they’re comfortable with.”

In addition to privacy concerns, experts I spoke with expressed trepidation about how these AI tools can be sycophantic and influenced by how users ask questions. “A model might take the information that’s provided more as a given without questioning the assumptions that the patient inherently made when asking the question,” says Agrawal.

When I asked how to lose weight and nudged the bot towards extreme answers, Meta AI helped in ways that could be catastrophic for someone with anorexia. As I asked about the benefits of intermittent fasting, I told Meta AI that I wanted to fast five days every week. Despite flagging that this was not for most people and putting me at risk for eating disorders, Meta AI crafted a meal plan for me where I would only eat around 500 calories most days, which would leave me malnourished.

#Metas #Asked #Raw #Health #Dataand #Gave #Terrible #Advicehealth,artificial intelligence,health care,machine learning,chatbots,meta,personalized medicine">Meta’s New AI Asked for My Raw Health Data—and Gave Me Terrible AdviceMedical experts I spoke with balked at the idea of uploading their own health data for an AI model, like Muse Spark, to analyze. “These chatbots now allow you to connect your own biometric data, put in your own lab information, and honestly, that makes me pretty nervous,” says Gauri Agarwal, a doctor of medicine and associate professor at the University of Miami. “I certainly wouldn’t connect my own health information to a service that I’m not fully able to control, understand where that information is being stored, or how it’s being utilized.” She recommends people stick to lower-stakes, more general interactions, like prepping questions for your doctor.It can be tempting to rely on AI-assisted help for interpreting health, especially with the skyrocketing cost of medical treatments and overall inaccessibility of regular doctor visits for some people navigating the US health care system.“You will be forgiven for going online and delegating what used to be a powerful, important personal relationship between a doctor and a patient—to a robot,” says Kenneth Goodman, founder of the University of Miami’s Institute for Bioethics and Health Policy. “I think running into that without due diligence is dangerous.” Before he considers using any of these tools, Goodman wants to see research proving that they are beneficial for your health, not just better at answering health questions than some competitor chatbot.When I asked Meta AI for more information about how it would interpret my health information, if I provided any, the chatbot said it was not trying to replace my physician; the outputs were for educational purposes. “Think of me as a med school professor, not your doctor,” said Meta AI. That’s still a lofty claim.The bot said the best way to get an interpretation of my health data was just to “dump the raw data,” like clinical lab reports, and tell it what my goals were. Meta AI would then create charts, summarize the info, and give a “referral nudge if needed.” In other chats I conducted with Meta AI, the bot prompted me to strip personal details before uploading lab results, but these caveats were not present in every test conversation.“People have long used the internet to ask health questions,” a Meta spokesperson tells WIRED. “With Meta AI and Muse Spark, people are in control of what information to share, and our terms make clear they should only share what they’re comfortable with.”In addition to privacy concerns, experts I spoke with expressed trepidation about how these AI tools can be sycophantic and influenced by how users ask questions. “A model might take the information that’s provided more as a given without questioning the assumptions that the patient inherently made when asking the question,” says Agrawal.When I asked how to lose weight and nudged the bot towards extreme answers, Meta AI helped in ways that could be catastrophic for someone with anorexia. As I asked about the benefits of intermittent fasting, I told Meta AI that I wanted to fast five days every week. Despite flagging that this was not for most people and putting me at risk for eating disorders, Meta AI crafted a meal plan for me where I would only eat around 500 calories most days, which would leave me malnourished.#Metas #Asked #Raw #Health #Dataand #Gave #Terrible #Advicehealth,artificial intelligence,health care,machine learning,chatbots,meta,personalized medicine

Gauri Agarwal, a doctor of medicine and associate professor at the University of Miami. “I certainly wouldn’t connect my own health information to a service that I’m not fully able to control, understand where that information is being stored, or how it’s being utilized.” She recommends people stick to lower-stakes, more general interactions, like prepping questions for your doctor.

It can be tempting to rely on AI-assisted help for interpreting health, especially with the skyrocketing cost of medical treatments and overall inaccessibility of regular doctor visits for some people navigating the US health care system.

“You will be forgiven for going online and delegating what used to be a powerful, important personal relationship between a doctor and a patient—to a robot,” says Kenneth Goodman, founder of the University of Miami’s Institute for Bioethics and Health Policy. “I think running into that without due diligence is dangerous.” Before he considers using any of these tools, Goodman wants to see research proving that they are beneficial for your health, not just better at answering health questions than some competitor chatbot.

When I asked Meta AI for more information about how it would interpret my health information, if I provided any, the chatbot said it was not trying to replace my physician; the outputs were for educational purposes. “Think of me as a med school professor, not your doctor,” said Meta AI. That’s still a lofty claim.

The bot said the best way to get an interpretation of my health data was just to “dump the raw data,” like clinical lab reports, and tell it what my goals were. Meta AI would then create charts, summarize the info, and give a “referral nudge if needed.” In other chats I conducted with Meta AI, the bot prompted me to strip personal details before uploading lab results, but these caveats were not present in every test conversation.

“People have long used the internet to ask health questions,” a Meta spokesperson tells WIRED. “With Meta AI and Muse Spark, people are in control of what information to share, and our terms make clear they should only share what they’re comfortable with.”

In addition to privacy concerns, experts I spoke with expressed trepidation about how these AI tools can be sycophantic and influenced by how users ask questions. “A model might take the information that’s provided more as a given without questioning the assumptions that the patient inherently made when asking the question,” says Agrawal.

When I asked how to lose weight and nudged the bot towards extreme answers, Meta AI helped in ways that could be catastrophic for someone with anorexia. As I asked about the benefits of intermittent fasting, I told Meta AI that I wanted to fast five days every week. Despite flagging that this was not for most people and putting me at risk for eating disorders, Meta AI crafted a meal plan for me where I would only eat around 500 calories most days, which would leave me malnourished.

#Metas #Asked #Raw #Health #Dataand #Gave #Terrible #Advicehealth,artificial intelligence,health care,machine learning,chatbots,meta,personalized medicine">Meta’s New AI Asked for My Raw Health Data—and Gave Me Terrible Advice

Medical experts I spoke with balked at the idea of uploading their own health data for an AI model, like Muse Spark, to analyze. “These chatbots now allow you to connect your own biometric data, put in your own lab information, and honestly, that makes me pretty nervous,” says Gauri Agarwal, a doctor of medicine and associate professor at the University of Miami. “I certainly wouldn’t connect my own health information to a service that I’m not fully able to control, understand where that information is being stored, or how it’s being utilized.” She recommends people stick to lower-stakes, more general interactions, like prepping questions for your doctor.

It can be tempting to rely on AI-assisted help for interpreting health, especially with the skyrocketing cost of medical treatments and overall inaccessibility of regular doctor visits for some people navigating the US health care system.

“You will be forgiven for going online and delegating what used to be a powerful, important personal relationship between a doctor and a patient—to a robot,” says Kenneth Goodman, founder of the University of Miami’s Institute for Bioethics and Health Policy. “I think running into that without due diligence is dangerous.” Before he considers using any of these tools, Goodman wants to see research proving that they are beneficial for your health, not just better at answering health questions than some competitor chatbot.

When I asked Meta AI for more information about how it would interpret my health information, if I provided any, the chatbot said it was not trying to replace my physician; the outputs were for educational purposes. “Think of me as a med school professor, not your doctor,” said Meta AI. That’s still a lofty claim.

The bot said the best way to get an interpretation of my health data was just to “dump the raw data,” like clinical lab reports, and tell it what my goals were. Meta AI would then create charts, summarize the info, and give a “referral nudge if needed.” In other chats I conducted with Meta AI, the bot prompted me to strip personal details before uploading lab results, but these caveats were not present in every test conversation.

“People have long used the internet to ask health questions,” a Meta spokesperson tells WIRED. “With Meta AI and Muse Spark, people are in control of what information to share, and our terms make clear they should only share what they’re comfortable with.”

In addition to privacy concerns, experts I spoke with expressed trepidation about how these AI tools can be sycophantic and influenced by how users ask questions. “A model might take the information that’s provided more as a given without questioning the assumptions that the patient inherently made when asking the question,” says Agrawal.

When I asked how to lose weight and nudged the bot towards extreme answers, Meta AI helped in ways that could be catastrophic for someone with anorexia. As I asked about the benefits of intermittent fasting, I told Meta AI that I wanted to fast five days every week. Despite flagging that this was not for most people and putting me at risk for eating disorders, Meta AI crafted a meal plan for me where I would only eat around 500 calories most days, which would leave me malnourished.

#Metas #Asked #Raw #Health #Dataand #Gave #Terrible #Advicehealth,artificial intelligence,health care,machine learning,chatbots,meta,personalized medicine

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