Apple Store Outage Map

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Apple Store Issues Reports

Latest outage, problems and issue reports in social media:

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  KitsuneYuki ❄️🔥🦊 (@GinKitsune4) reported 6 minutes ago

  @MtSilvr @KirscheVerstahl I love the apple store. One day, you walk in and say you want an orange. You like oranges better. The store owner says, "everyone must want oranges," and starts selling oranges. Now, no one shows up to the apple store, and it goes out of business. This is the problem.

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  @levelsio (@levelsio) reported 11 minutes ago

  PS a few days ago we actually went to Rimowa Copenhagen to fix the previous cracks (in quote tweet) They brushed us off and said they couldn't help us and we'd have to get it fixed in Lisbon where we bought it Which is funny cause if I break my MacBook Pro, I can literally bring it into any official Apple Store anywhere and they'll fix it Or if I lose my debit card, Revolut will send me a new one anywhere in the world and it'll arrive in a day or so! The point of service is especially when it's a suitcase, you're probably traveling when it breaks, and you want to either get it fixed or get a temporary replacement while yours get fixed, so you can keep traveling That's what I mean with premium luxury service that I'm happy to pay a lot for!

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  KitsieAnn (@KitsieAnn) reported 13 minutes ago

  @RealJamesWoods @ClarenceJorda13 Months ago hubby and I were at a Apple Store and boom right in the middle. It would’ve been like me just plotting down pulling my rosary out and start. Praying the rosary out loud.😜

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  ಅನಂತ್ ಸುಬ್ಬಣ್ಣ (@AnanthSubbanna) reported 13 minutes ago

  @usmantweets_ I got the same problem with my iPhone 14 plus. Rear camera is not working. Unfortunately, as per the apple store, the service program is not going to be covered for my device even though my device is manufactured in Dec 2023. @AppleSupport @Apple pls help

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  Bernadette Turkenburg (@BJMTurkenburg) reported 14 minutes ago

  She is so distracted,******* bored actually. She wasn’t looking for trouble, yesterday. “I was just standing there,in an Apple store, USA,and got hit in the face for no reason at all .” What happened next?? Is it in social media? Public fights are normal,nowadays.Weird.

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  Alex Ventures (@alex23ventures) reported 14 minutes ago

  An AFP TV crew shot footage of an 8 year old Chinese boy named Zhou Zhiheng for a piece on Asia's youngest programmers. Round green frames. Red shirt. He sat in front of a MacBook Air at a glass desk inside a Shenzhen co-working space with iPhone XR posters mounted on the wall behind him. The voiceover said he had started out building games. The subtitle said his coding tutorial channel pulled 60,000 followers. The camera pushed in tight on his fingers across the keys. While the West holds panels about screen time for kids, China places an 8 year old in front of an unregistered code editor and rolls cameras for the international press. He was meant to be the friendly face of Asian tech literacy. He just left the sidebar open. Pause at 1:34. Skip past the C++ on the screen. Skip past the if statement the AFP voiceover was reading. Look at the left panel of the editor. The folder is labeled aspirin. The open file is jizhe.cpp. The folder tree below: 1-7, 1-7b, 10-1, 10-1.2, 10-2, 10-4, 10-6, 10-8, 11-2. ColdMath. $94,318 profit. 5,612 entries. Joined September 2025. Bio: Edge Compounds. Jizhe is the mandarin word for journalist. The file the AFP crew was rolling on was named after them. The boy had the open scanf reading a score variable. He had not typed it that morning. He had given the file its name the day the AFP request came through. The numbered folders were not chapters of a coding course. The numbering lined up with the Chinese journalism beat codes the press accreditation office issues to foreign correspondents. 1-7 is the technology beat. 10-1 is consumer electronics. 10-2 is mobile devices. 11-2 is venture capital. The folder tree was an index of which AFP and Reuters reporters covered what. The boy was not the developer. The boy was the camera trap. The agent on the MacBook Air was tracking which journalists filed filming permit requests at which Shenzhen co-working spaces three days ahead of the segments going to air. Every permit request was a position on the company being filmed. The agent traded the gap between shoot and broadcast. The crew rolled for forty minutes. The agent placed eleven positions during the shoot. Every position was on a company whose office the AFP team had stopped by that week. The comments turned into a detective board. One viewer dropped the AFP clip to 0.25x. Another translated jizhe out of the filename. A third commenter cross referenced the folder numbering against the Chinese State Council Information Office accreditation list and matched every code. Six months ago a 14 year old in Shenzhen pushed an AI agent to GitHub. Judges said no real world application. 3,100 forks later. The boy's father had been one of them. He had dropped the fork onto his son's MacBook the week the AFP request showed up in the family's WeChat. The 60,000 follower coding channel was not a coding channel. It was a feed tracking which co-working spaces were hosting which crews. The followers were operators running the same fork out of different cities. The iPhone XR posters behind him were not Apple Store decor. The shoot was happening inside a media briefing room foreign correspondents rent specifically to film this kind of segment. The agent already knew the room. The room was on the list. The AFP segment sits at 2.1 million views. The freeze frame of the folder tree cleared 4.6 million on the repost. The wallet is still compounding. The agent is still reading press accreditation requests. The unregistered editor is still open. The jizhe.cpp file is still on screen. They filmed him to prove a child could code. The child was the lens. The agent was running the shoot.

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  Pooja (@poojaofficial5) reported 18 minutes ago

  My friend's iPhone 13 suddenly started malfunctioning At first, she thought the battery was simply draining too fast. But after a few days, it became clear that the problem was much more serious. The battery had started swelling, and the phone's body was beginning to bulge from the inside. The biggest surprise ? "The phone was completely out of warranty." No AppleCare. No extended coverage. Both of us assumed that replacing the battery would cost thousands of rupees. But what happened at the Apple Store in DLF Mall, Noida completely surprised us. The staff inspected the device and explained that a swollen battery is considered a safety hazard. A little later, they informed us that the battery would be replaced FREE of charge. We thought it might be some special discount or adjustment, but when the bill arrived, it showed "₹0.00" At a time when many companies shift the entire cost to customers once the warranty expires, receiving a free battery replacement for an out of warranty phone was genuinely unexpected. This experience taught us an important lesson If your phone's battery is swelling, the screen is lifting, or the body of the phone is starting to separate, don't ignore it. It's not just a device issue it can also be a serious safety risk. Sometimes, a company's true reputation isn't built through advertisements, but through the way it helps customers when they face unexpected problems. Have you ever received a service that exceeded your expectations ? Share your experience in the comments.

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  Joey  (@IAmTh3Person) reported 21 minutes ago

  @J3nX24 @DylanMcD8 if it does, ill just go to the Apple Store and tell them to pls fix it

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  Daniel Ortega (@dan_in_robots) reported 22 minutes ago

  I don't know. I'm sure it's pretty, but this looks like an Apple Store on wheels. Where are the physical controls? I'll take real engineering that solves real problems. My two cents.

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  masYNYa (@KijAkubovs86334) reported 23 minutes ago

  A developer walked out of an Apple Store carrying 7 Mac mini boxes. Security watched him. Other customers watched him. He sat down in the lounge, opened his laptop, and got to work before he even got home. Pause at [0:09]. Look at the meter plugged in on the left. 180 watts. That is the entire operation at full load. Your gaming PC idles higher than that. Five M4 Mac minis. Clustered into one machine with EXO. No cloud. No API subscription. No data leaving the room. Ever. A Llama 70B running local on MLX. It ingests a 90,000 word manuscript. Cleans the formatting. Splits the chapters. Marks every line of dialogue with the emotion it should be read in. Then a local voice model narrates the entire book in one locked voice that never gets tired and never raises its day rate. 40 hours of clean audiobook narration. Every month. While he sleeps. He sells the finished files to indie authors and faceless YouTube channels who cannot afford a studio and will not wait three weeks for one. $23 a month in electricity. $11,840 a month out. The 7 boxes on the floor are not a flex. They are the infrastructure. His girlfriend asked why he didn't just buy more. He already ordered them.

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  Rachel Spencer (@Ray_swalter) reported 29 minutes ago

  I love when I plug my iphone in to charge on the charger I bought at the Apple Store only for my phone to tell me this charger is a slow charger

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  Kyeyune Richard (@krk24richards) reported 29 minutes ago

  @DrBellahh You and your people you buy used iPhones, me I buy new and from Apple Store. So handle your problems

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  Asher Crowe 🪺 (@ashercrw) reported 30 minutes ago

  A 31-YEAR-OLD IN BELGRADE IS PULLING $8,400 A MONTH OFF FIVE MAC MINIS RUNNING IN A TOWER ON HIS DESK. The whole stack costs $19 a month in electricity to operate. The hardware paid for itself in week one. The setup is so quiet his girlfriend didn't notice when he turned it on. His name is Stefan. This is the cleanest example of the new solo operator economy I've seen all year and the numbers deserve a full breakdown. The hardware is five M4 Mac Minis stacked in a tower on his desk. Each one has a number written on it in marker, 1 through 5, so he knows which node dropped when one goes silent. A pink dumbbell sits on the shelf above them. A can of compressed air on the windowsill. The whole thing hums quieter than the mini fridge in the corner. The five machines are clustered with EXO into one virtual machine. EXO is the open-source framework that lets you string together consumer hardware into a distributed inference rig without needing a degree in systems engineering. The setup runs Llama 70B locally on MLX, Apple's machine learning framework optimized for unified memory. Nothing he runs ever touches a cloud server. No API costs. No rate limits. No latency tax. The model runs on his desk and answers in milliseconds. Here's the workflow he built around it. A client uploads a raw manuscript. Anywhere from 60,000 to 120,000 words. Indie author novels, self-help books, faceless YouTube channel scripts, the kind of long-form content that needs narration but doesn't have a studio budget. The Llama 70B model does the reading work first. It ingests the raw text, cleans the formatting, splits the chapters automatically, and tags every line of dialogue with the emotional tone it should be read in. Excited. Whispered. Angry. Resigned. Then it writes the chapter descriptions that faceless YouTube channels paste directly under their uploads. All of it done locally. All of it done in one pass. Then an open voice model on the same stack takes over and narrates the entire book in a single locked voice. The voice never gets tired, never asks for a re-record, never raises its day rate, never catches a cold the day before a session. The same voice across every chapter, every book, every client. Consistency that human narrators physically cannot match. A local audio mastering model handles the final polish. Compression, leveling, breath cleanup, room tone matching. The output is studio-quality audio ready for upload. The stack renders 28 hours of clean narration per month while he sleeps. He wakes up, exports the files, sends them to clients, invoices them, and goes back to whatever he wants to do with his day. Now the part that breaks people. The power draw across all five machines running at full load is 180 watts. He has a KUMAN meter plugged into the wall to track it. A single gaming PC idles higher than that. The entire AI studio he built consumes less electricity than a hair dryer on low. At Serbian residential rates that works out to roughly $19 a month in operating cost. Eight thousand four hundred dollars in, nineteen dollars out. A 442x margin on power alone before you account for the fact that the hardware paid for itself the first week he turned it on. His girlfriend asked why the power bill didn't move after he built it. He told her it can't, the machines barely draw anything. She asked what the whole thing cost to set up. He told her. She asked why he didn't build ten. That's the right question. A traditional audiobook studio has a narrator on a day rate, a booth, an engineer, and a monthly power bill that buries solo operators. The cheapest professional narrator in the US charges around $200 per finished hour. The cheapest decent one runs closer to $400. A 10-hour audiobook costs an indie author at least $2,000 in narration alone, plus mastering, plus mixing, plus the three week turnaround time while the narrator fits the project into their schedule. Stefan delivers the same product for a fraction of the cost, in 48 hours, with consistent quality across every chapter, and his only constraint is how fast he can find clients. The economics are completely deranged compared to traditional service businesses. He doesn't pay rent on a studio. He doesn't pay a narrator. He doesn't pay for cloud compute. His marginal cost per audiobook is approximately the electricity it takes to run the cluster for the duration of the render, which is measured in pennies. A few realizations worth sitting with. The frontier of AI economics is no longer in San Francisco. It's in apartments in Belgrade, Lagos, Manila, and Tbilisi, where operators with low overhead and high technical curiosity are quietly running businesses that look impossible from the outside. The geographic distribution of who actually makes money from AI is going to look nothing like the geographic distribution of who funded the labs. Local inference is the quiet revolution nobody on this app is talking about loudly enough. Every workflow that currently runs on OpenAI or Anthropic APIs has a cousin that runs on a Mac cluster for the price of an electrical outlet. The companies paying $30k a month in cloud bills are going to wake up in 18 months and find their margins eaten by operators paying $19. The audiobook market is just the beginning. Every service business with high human labor costs and predictable output requirements is about to get the same treatment. Voiceover work, transcription, translation, copywriting, image editing, video editing, customer support, technical writing. Each one of these has a local-inference version waiting to be built by someone with a stack of Mac Minis and an EXO config file. Stefan didn't invent anything. He just connected the right pieces. The pieces have been sitting on GitHub for over a year. The Mac Minis have been on shelves at every Apple Store. EXO is free. The voice models are open. The orchestration is a weekend project. The only barrier was knowing it was possible. Now you know.

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  System Settings (@app_settings) reported 32 minutes ago

  @techdroider @ImagineApplePR yes.. third party service providers are allowed to ask you for stuff like that use the Apple Support app to find an Apple Service Provider near you (or go to an Apple Store). they’ll fix it lol

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  Hemanth Nelavai (@HemanthNelavai) reported 32 minutes ago

  @gharkekalesh If you are ready to buy iPhone for ₹1,00,000 then better buy from official Apple store or their official website. Customer service will definitely be hundred times better if any problem arises