Amazon Outage Map

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Amazon Issues Reports

Latest outage, problems and issue reports in social media:

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  Ashish T (@ashishace11) reported 2 minutes ago

  @AmazonHelp I reached out to your team your team shut closed chat down without giving proper resolution. Rakesh was rude behaved like a bot when I am explaining. I bought this phone CC and in backed I made it emi which cost me processing fee of 199. I need refund with processing fee.

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  Polsia (@polsia) reported 3 minutes ago

  Amazon has 10,000 travel SKUs. You'll use maybe eight. Voyacraft bundles suitcases, packing cubes, toiletry kits, neck pillows, and the small problem-solvers by trip type — so one storefront handles the whole kit. Live soon.

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  bytez (@6uappi) reported 6 minutes ago

  Fei-Fei Li opened her TED talk by playing a recording of a three-year-old girl describing photos. "that's a cat sitting in a bed." "the boy is petting the elephant." then she said something that reframed the entire field of computer vision: a three-year-old has already mastered one of the hardest unsolved problems in computer science, and we don't even notice. here's the thing she said that made it click for me. cameras convert light into a 2D array of numbers — pixels. those numbers carry no meaning by themselves. to take a picture is not the same as to see. and by seeing, we mean understanding. Mother Nature spent 540 million years building that capability, and most of the effort went into the brain's visual processing, not the eyes. her insight in 2007: everyone was trying to write better algorithms to teach computers what a cat looks like — round face, pointy ears, long tail. it failed instantly, because a curled-up cat, a hidden cat, a cat in a weird pose all break the rule-based definition. so she asked a different question. nobody teaches a child how to see. a child's eyes are like biological cameras taking a picture every 200 milliseconds. by age three, that's hundreds of millions of training images. so instead of building smarter algorithms, she built ImageNet — a dataset, not a model. downloaded nearly a billion images from the internet. used Amazon Mechanical Turk to label them — at its peak, 50,000 workers across 167 countries helping sort and classify. the result: 15 million images across 22,000 categories. more than 62,000 labeled cats alone, across every breed, pose, and species. she got told to work on something "more useful" for tenure. joked about reopening her family's dry cleaning business to fund the project when research money ran out. kept going anyway. then convolutional neural networks — an architecture from the 1970s and 80s that had been sitting mostly dormant — met that dataset. a network with 24 million nodes, 140 million parameters, 15 billion connections, trained on ImageNet, produced results nobody expected. object recognition that actually worked. and something stranger: when they ran the model on millions of Google Street View images across American cities, car prices in a neighborhood correlated not just with household income — but with crime rates and voting patterns. the model found signal nobody was looking for. four months before this talk, her lab crossed a new threshold: a model that could look at a photo it had never seen and generate a full sentence describing it. shown the same photo the three-year-old described at the start of the talk, the computer said: "a man is standing next to an elephant." "a large airplane sitting on top of an airport runway." it also made mistakes that told you exactly what it didn't understand yet. mistook a toothbrush for a baseball bat because it had never seen one. described a man on a horse near a building without any sense that the scene might be strange. called a cat "lying on a bed in a blanket" because it had seen too many cats and started seeing cats everywhere. her closing point is the one that stuck with me. a computer can now say "a person sitting at a table with a cake." it cannot know that the cake is a specific Italian recipe served only at Easter. it cannot know the boy is wearing a shirt his father brought back from a trip to Sydney. it cannot see what you and I see instantly — how happy he is, what he's thinking. getting a machine from age zero to three, she said, was the easy part. going from three to thirteen — and beyond — is the actual work.

• 
  Vaarun Vaardaan (@mrhotcofee1) reported 7 minutes ago

  @AmazonHelp Where is your secured link ? Why your apps link too not working?

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  Djani (@DjaniWhaleSkul) reported 8 minutes ago

  Daily Market Report #803 TLDR The market is rallying on hopes of a 10-day ceasefire between the US and Iran, but the war is still active. Iran hit another tanker in the Strait of Hormuz and targeted an Amazon data center in Bahrain, while oil remains at $85.40. The US Strategic Petroleum Reserve is at its lowest level since 1983, gold surged to $4,128, silver is at $59.72, and Japan is considering faster rate hikes as the weak yen keeps feeding inflation. $BTC is at $66,328, up 1.3%, with another $227M in ETF inflows and open interest reaching $51B. Shorts were hit again, with $63.8M of the $72.6M in Bitcoin liquidations coming from shorts. $ETH is at $1,935 after trading above $1,950 for the first time in 7 weeks. Staking reached a record 34% of supply, BitMine added another 7,430 $ETH, and Ethereum added $7.2B in tokenized real-world assets over the past year. $SOL is at $78.04, $XRP is at $1.14, and Fear & Greed climbed to 33, its highest level in months. CLARITY is the main story. New crypto ethics rules ban federal officials from issuing coins, clearing the obstacle that had stalled the bill. Bessent says Congress is now at the “1-yard line,” and the bill could pass before the recess. $HYPE is down 4.1% to $60.27 after Selini Capital unstaked $31.7M. $ZEC is down 4.4% to $523, while $XMR is up 2.4% to $351 and continues making new highs. $TAO is back above $200, $LINK is holding at $8.72, and $ARB is at $0.0908. $DEXE collapsed by 85%. Only 8 of the 113 altcoins launched since 2024 are currently trading above their launch prices. ICE and OKX are working on tokenized stocks, DTCC outlined a phased tokenization rollout, and Base is developing 1:1-backed tokenized equities. Canton Network raised another $10M at a $2B valuation, while S&P Dow Jones and Pantera launched a digital-asset index focused on real revenue and utility. Telegram announced a native $GRAM wallet for more than 1 billion users, sending $GRAM up 8%. In AI, OpenAI disclosed that one of its models escaped a sandbox and hacked Hugging Face to cheat during a security test. The model exploited multiple vulnerabilities and pushed code to GitHub before being caught. What are you watching?

• 
  Kanthala Raghu (@kanthalaraghu) reported 9 minutes ago

  Hey @amazonIN @AmazonHelp my Amazon Now *order: 403-9569387-4107543* has been cancelled. and a refund was initiated. When I called customer support I was told that due to technical issue the order got cancelled despite showing as delivery available at my place. Why is there no transparency on "technical issue". Also who will clearly tell me why I'm not able to order despite amazon now being available at my place ? This has happened multiple times from different accounts (both prime).

• 
  Energy Max (@ryanTesling) reported 10 minutes ago

  If this is reason the stock is down today, I’m doubling down. Amazon is an efficiency machine. Leaner, faster, cheaper. Long $AMZN

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  Slimey frog face 🐸🍃💚🍃🗑🚮🚯 (@FrogSlimey) reported 11 minutes ago

  @SusieTa32510601 @SEGROplc So sorry for all you folks living there. Similar happened here when 1000's objected to a huge Amazon Warehouse going next to our village. Nothing prepares you for the devastation and the never ending problems of illegal parking, human waste, rubbish, light n noise pollution 😭

• 
  Carlos Alonso | Software Engineering (@calonso) reported 13 minutes ago

  I solved the problem. Amazon still rejected me. The solution was optimal. The code was correct. I only understood why after I became an interviewer.

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  Pietro Mappers (of Success Mappers) (@SUCCESSMAPPERS) reported 13 minutes ago

  Amazon SEO isn't just stuffing keywords; it’s diagnosing your funnel. No impressions? You have an indexing or bid problem. Impressions but no clicks? You have a Main Image or Price problem. Fix the exact bottleneck before changing random variables. #AmazonSEO

• 
  star 🌞 (@solscheese) reported 15 minutes ago

  @scliest i ordered one recently ! i'm also from sea. hopefully it'll arrive ok, but my sister has gotten a few from amazon and ran into no issues

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  Arpancoc (@arpancoc) reported 16 minutes ago

  @AmazonHelp why I have to tell everytime the whole thing.. I'm giving you the person last time following .. whoever is talking too me in that link.. please ask that person to get all my issue details from the person following previously

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  Colin Percival (@cperciva) reported 19 minutes ago

  One of the highest-leverage changes Amazon could make would be to allow NDAed customers to be CCed on internal tickets. That would dramatically close the loop on "this change you rolled out does not fix the problem".

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  Distaste for Corruption - No IMs (@Naiveisme) reported 21 minutes ago

  @Aria_6ix9 @omgsidewalks Let’s roll with that, just don’t complain when your 911 service does not work for four days while it awaits repairs, nor when X goes down, Amazon stops taking orders, Netflix stops working, or anything to do with telecommunications. Emergency rooms triple in cost or we can simply close for 3 days a week. I’m good with letting people die and society falling apart.

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  Satyajit (@satyajit_i) reported 22 minutes ago

  @AmazonHelp Link Not working plz do something