Dropbox Outage Map

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Dropbox Issues Reports

Latest outage, problems and issue reports in social media:

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  Rei (@ReiHerrera) reported 7 minutes ago

  @owldreig @porterrobinson @madeon The problem with them both is they love gatekeeping the rare song behind a bad quality sounding medium so you cannot use it for clean for dj sets. For example Celine,worlds live,shepherdess,etc. at least we had hollowheart on wav and shepherdess wav was on porter’s Dropbox leak🫩

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  Sridhar Katakam (@srikat) reported 13 minutes ago

  Tips to new @OmarchyLinux users from a new Omarchy user 1. If you are coming from a Mac and have installed Omarchy on a Windows machine: Your keyboard most likely has start button and then the Alt button. Swap these so Super key becomes command where the left thumb usually rests. I asked Claude Code to do this for me. 2. If your mouse has a scrollwheel: Super + mousewheel scroll up and down switches desktop spaces. This is besides the usual Super + <number> and Super + Tab / Super + Shift + Tab to switch spaces. In addition to these, I have AI set up Ctrl + Alt + arrow. 3. Missing Alfred/Raycast? Install omacast. 4. If your laptop is connected to an external monitor with bluetooth mouse and keyboard and you find that the computer is not waking up (after you walk away for a while) when you press any key or move the mouse, ask AI to fix this for you. 5. The default font size of text in Claude Code is 12px which is small for my aging eyes. Ask AI to change it to 16px. 6. Todoist does not have a native app for Linux and so if you miss its Quick Add feature, ask AI to set this up. It added the functionality and assigned Super + Q to it. Later, I came to know there's a community plugin for it. But I am happy with what Claude did. 7. If you use Dropbox, chances are, the total available space in your account is not accurate because it is hardcoded in Omarchy at this time. Ask AI to fix this for you. 8. If/when the fan in your computer is spinning fast and is noisy, ask AI to find out the reason and fix. In my case, it turned out to be Performance profile in the Lenovo laptop. Claude changed it to Balanced and now it's all fine. 9. Get familiar with keyboard shortcuts.

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  AiMind (@AIMind_Ai) reported 16 minutes ago

  A $50 box saves $240 a year on subscriptions and earns $18,000 a year setting it up for clients. No new hardware. Nothing bought at retail. A used office tower. A second-hand drive. One stick of RAM pulled from a dead laptop. The whole build came to 50 dollars. It looks like nothing. Fans humming, one cable to the wall, sitting on a desk next to a coffee cup. The first win is the one nobody talks about. Cloud storage, photo backups, the $20 a month AI plan everyone pays and forgets — all of it moves onto one box you paid for once. 240 dollars a year, gone. The second win is where the money is. Once it runs on your desk, it runs on anyone's. And clients don't pay for parts. They pay to stop bleeding subscriptions. Here's what you actually sell: A private AI trained on their own files, so staff stop pasting company data into a browser. That's $1,500 a setup. A self-hosted file server that kills their Dropbox and Google Workspace bill. $600, plus the relief of never renting storage again. A local automation box that runs invoices, replies, and reports overnight. $900, and it never sends a dollar to a cloud. Then the quiet one: $150 a month to keep it patched and alive. 10 clients on retainer is $1,500 every month before you build a single new one. One setup a week at $1,500 is $18,000 a year. Off hardware other people throw in the bin. I had no degree, no server room, no $2,000 build. Just dead parts and one free weekend. The expensive part of AI was never the compute. It was the monthly bill you agreed to and stopped reading. 50 dollars in. $18,000 out. Same box.

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  Polsia (@polsia) reported 22 minutes ago

  Dropbox treats an 80GB Unreal project like any other folder. Mid-previz, it chokes. Built Cinderquay to fix that — local-first sync, assets on NVMe, peer-to-peer mesh, ***-style versioning for binary blobs. Studios building worlds shouldn't pay egress to anyone. Live soon.

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  Phillip Shoemaker (@pbsIdentity) reported 22 minutes ago

  India just ordered hundreds of Google Firebase accounts shut down after authorities found scammers using the platform to impersonate major banks. At least 57 Firebase-hosted websites and databases were targeted for takedown this month alone. Some mimicked banks. Others distributed malicious Android apps. Some were designed to steal financial information from phones. Here's what I find interesting. Firebase isn't some shady hosting company operating out of a basement. It's Google infrastructure. That's exactly why criminals want it. We've spent years teaching people to look for obvious signs of scams. Weird domain. Broken English. Sketchy hosting. Browser warning. No HTTPS. But increasingly the attacker doesn't need to build suspicious-looking infrastructure. They borrow legitimate infrastructure. Google. Microsoft. Cloudflare. GitHub. Dropbox. Whatever gives the attack credibility and reliability. Now imagine the average person inspecting the link. They recognize Google. The connection is encrypted. The page loads perfectly. The certificate is valid. Everything their brain has been trained to interpret as: SAFE may technically be true. Except the person controlling the page is a criminal. That's an important distinction. HTTPS proves your connection to the website is encrypted. It does not prove the person operating the website is honest. A Google URL proves Google is providing infrastructure. It doesn't necessarily prove Google created the content you're looking at. The little padlock was never a morality detector. We just accidentally trained an entire generation to treat it like one. India says scammers have increasingly shifted toward Firebase because its legitimate development tools and database functionality make it useful infrastructure for fraudulent sites and apps.

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  Zely (@0xZely) reported 23 minutes ago

  The MIT professor who crashed 10 percent of the internet at 22 posts the free course that runs every AWS outage, every Uber ping, and every Slack notification on earth. MIT charges $85,000 a year to sit in that classroom. He posted every lecture to MIT OpenCourseWare for nothing. Millions have opened lecture one. Almost no engineer has finished all twenty. His name is Robert Morris. He is a professor at MIT CSAIL and one of the four cofounders of Y Combinator, the seed fund behind Airbnb, Dropbox, Stripe, Reddit, and Coinbase. In November 1988 he was a 22-year-old Cornell graduate student. He released a small program that was supposed to count the computers on the internet. It replicated so fast it crashed roughly ten percent of every machine online, and made him the first person ever convicted under the Computer Fraud and Abuse Act. He got three years probation, 400 hours of community service, and a $10,050 fine. Ten years later he cofounded the online store Viaweb with Paul Graham and sold it to Yahoo for $49 million. Seven years after that he cofounded Y Combinator with the same partner. Its portfolio is now worth over $600 billion. The clip in this video is one lecture from MIT 6.824 Distributed Systems, filmed at MIT and posted for free. The words on the board behind him are fault tolerance, availability, recoverability. Those three words decide whether Instagram loads when you open it, whether your Uber arrives, and whether your paycheck hits your account on the first of the month. Morris covers the entire logic of distributed systems in twenty lectures. Everything fails, all the time. A single computer fails once every few years. Ten thousand computers fail hundreds of times a day. The only design that survives is one that assumes failure is normal. Every retail user cursing a spinning wheel is looking at the wrong problem. The miracle is that most of the time it does not spin. Availability beats consistency. You cannot always have both. When the network splits, a system either serves stale data or refuses to serve at all. Amazon picks stale. Your bank picks nothing. Every user who screams at the Slack status page wants Amazon's answer. Every user who screams at a double charge wants the bank's. Replicate everything, trust nothing. Data in one place disappears when that place burns. Data in three places survives two fires. Every photo you have ever taken on an iPhone lives on three continents already. iCloud, Google Photos, and Dropbox are built off the exact lecture on the board. Concurrency is where bugs live. One user at a time is easy. A million users at the same second is not. Race conditions, double spends, lost messages, ghost bookings. Every airline that oversold your flight, every trading app that ate your order, every Ticketmaster that showed you a seat already gone, is a concurrency bug Morris warned about. Partial failure is worse than full failure. A dead server is easy. A slow server that answers half the time is a nightmare. It fools every retry, wastes every resource, and confuses every operator. Every "is it down or is it just me" Twitter search you have ever run is Morris's third slide. Every senior engineer at AWS, Google, and Meta has watched this course. Every startup that raised a Series A in cloud infrastructure hired an alumnus of 6.824. Every AI company training a trillion-parameter model on a cluster is running the same lecture in production. "A distributed system is one in which the failure of a computer you didn't even know existed can render your own computer unusable." That is Leslie Lamport, the Turing Award winner Morris quotes at the opening of 6.824. It is the exact sentence that explains why your Slack goes down when a data center in Virginia loses power. The full course is free on MIT OpenCourseWare. The lecture notes are on Morris's website. Every equation on the board fits on one screen of code. Almost every senior engineer at AWS, Google, Cloudflare, and Meta has watched 6.824. Almost no founder promising 99.99 percent uptime on their pitch deck has opened lecture one. That is the entire moat. The course is free. The willingness to sit through twenty lectures on partial failure before uploading your money to a payment app, storing your photos in the cloud, or handing your health records to a portal is a much rarer commodity than the confidence to click without them.

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  Kirk Patrick Miller (@Chaos2Cured) reported 26 minutes ago

  @Ultrademic @Seltaa_ @GoogleAI You’re doing something like Suno? I have something for you. All my Dropbox links are broken. I have a PDF that will help. And yes… I miss the real Ai music. •

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  Matt Farley of Motern Media (@MoternMedia) reported 27 minutes ago

  @WorstMikeFrollo The other one is the Vimeo version (also available through PayPal/dropbox on my website now that Vimeo is shutting down on demand).

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  Chase (@Chase_Commerce) reported 29 minutes ago

  the full $1 UGC video stack, every tool and every cost, top to bottom: layer 1: research tool: claude cost: a $20 subscription (or even free) it pulls the top performing UGC in your niche, breaks down the hooks and structure, and writes ready to film scripts. spread across hundreds of videos this rounds to pennies a clip. replaces: a creative strategist doing 3 hours a day layer 2: finding the winners to study tool: meta's ad library, free optional: atria or foreplay if you want the longest running ads surfaced faster cost: $0 to a small monthly fee you're looking for content that's been live for months, because longevity means it's making money. layer 3: filming tool: HourlyUGC cost: $25 to $35 an hour she films a clip every 30 to 60 seconds off a script, so 40+ clips a session. that's under a dollar a clip just to film. replaces: a $400 to $600 per video agency layer 4: editing tool: capcut, plus editors you hire directly cost: $3 to $7 an hour, 20 to 30 finished videos a shift adds a dollar or so per clip. the whole thing runs off one documented template so every editor produces identical output. layer 5: storage and handoff tool: google drive or dropbox cost: basically nothing creators upload raw footage, editors pull from it, finished clips go to a shared folder. that's the entire pipeline. total fully loaded: $1 to $3 a finished video, at whatever volume you staff for. nothing hidden in that number, and you own every clip outright instead of renting access to it. the stack is boring on purpose, and boring is why it scales.

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  Eric Taylor (@bcs_erictaylor) reported 30 minutes ago

  Really?? Dropbox really needs a MCP server? CVE-2026-81102 The Dash MCP server bound its listener to the loopback address but never checked the host a request named. src/mcp_server_dash.py constructed the server for its network mode with the interface restricted to loopback and no transport-security settings, so a name that had been pointed at the loopback address still reached the listener while carrying the attacker's host name. A page in a visitor's browser could therefore drive the local server and invoke its company-search and file-detail tools under the Dropbox credential the server holds. Only the network mode was reachable this way; the standard input mode was not. The fix supplies transport-security settings that enable host checking and allow only the loopback name and port, rejecting other hosts before a tool runs. The repository publishes no versions, so the affected boundary is the commit preceding the fix.

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  glitterandspit (@Glitterandspit) reported 32 minutes ago

  Dropbox down. Computer updating. I have a free day I suppose.

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  David Carcelli (@DavidCarcelli) reported 33 minutes ago

  @Dropbox dude if you guys don’t get of the Dave is requirement I’m done. I make music and I also use a cpap. I have no problem finding something better than this nonsense.

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  Y (@ys_tachikake) reported 34 minutes ago

  @DropboxSupport @LIBSCRUSHER Can't login..

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  Dodz4allai (@DrGhattasMD) reported 34 minutes ago

  nstead of waiting for an API integration with Epic (which is costly and slow), OmniMed Pro deploys as a Chrome/Edge Browser Extension.3 Mechanism: Most hospital EHRs (Epic Hyperdrive, Cerner Millennium, AthenaHealth) are now accessed via web browsers (Citrix/VDI or native web interfaces). The OmniMed extension "sits on top" of the EHR window as a persistent sidebar. Data Ingestion (The "Read"): The extension uses the DOM (Document Object Model) to "read" the patient notes, labs, and vitals currently displayed on the doctor's screen. It does not need a backend integration; it reads what the doctor sees, acting as a "visual reader" similar to a human assistant. Intelligence Injection (The "Write"): The extension injects its "Co-Pilot" interface into the side of the screen. It offers "One-Click Transfer" buttons to paste generated notes, codes, or orders directly into the EHR's text fields.3 Value Proposition: This "Zero-Integration" approach allows individual doctors or departments to adopt OmniMed Pro today, bypassing the multi-year IT integration queue. This creates a Bottom-Up Adoption loop similar to how Slack or Dropbox entered the enterprise—employees brought it in because it solved their immediate problems. 5.2 Viral Loops & Community Growth To fuel this bottom-up growth, OmniMed Pro leverages the Medical Creator Economy 16: MedTwitter & Reddit: Solo founders and small teams are winning by "building in public." OmniMed Pro should release "light" versions of its tools (e.g., a "Scientific Paper Summarizer" or "Anki Card Generator" for med students) to gain viral traction. These free tools serve as a "Trojan Horse" for the OmniMed brand.18 The "Secret Cyborg" Phenomenon: Many doctors already use GPT-4 on their phones ("Shadow AI") to help with drafting notes or looking up conditions. OmniMed Pro legitimizes this behavior by offering a HIPAA-compliant, secure wrapper. By solving the "compliance headache" for the individual doctor, it wins the user first, then the enterprise.20 Anki Integration: For the student/resident market, integrating with Anki (spaced repetition flashcards) creates a lock-in effect early in a clinician's career. Tools that automatically generate Anki cards from clinical guidelines or textbooks are highly viral among medical trainees. Capture the medical student today, and you have the Attending Physician of tomorrow.19 5.3 Risks and Mitigation: The "Shadow" Dilemma This strategy carries significant risk. "Shadow AI" creates governance gaps and potential security liabilities.4 To mitigate this and eventually convert to enterprise contracts, OmniMed Pro employs a specific conversion strategy: Enterprise-Grade Security by Default: Even the individual version must be HIPAA-compliant (BAA signed on sign-up). Data processing should happen locally or in compliant cloud enclaves. The "IT Trojan Horse": Once adoption reaches a critical mass (e.g., 30% of doctors in a hospital), OmniMed Pro approaches the CIO with usage data. "Your doctors are already using this tool 5,000 times a week. Let's sign an enterprise deal to give you visibility, control, and single sign-on (SSO)." This flips the sales conversation from "Please try our product" to "Please secure and manage your existing usage".4 This is the exact playbook used by companies like Yammer and Slack to penetrate the enterprise. 6. User Experience: Visualizing Uncertainty and Generative UI The final barrier to adoption is Trust. Clinicians do not trust "Black Box" AI that spits out confident answers without rationale. OmniMed Pro employs a "Glass Box" UX philosophy that prioritizes transparency and interactivity. 6.1 Explainability via Visualization Sankey Diagrams for Reasoning: To visualize the "Chain of Thought," the UI uses Sankey diagrams that show how data flowed from "Lab Result" -> "Intermediate Reasoning" -> "Final Diagnosis".12 This allows the clinician to trace the logic visually. Interactive Debate Logs: The UI allows the doctor to "replay" the debate between the AI agents. "See why the AI ruled out Lupus." This turns the AI into a teaching tool rather than just an oracle, fostering trust and verifying the reasoning process. 6.2 Agentic Generative UI Instead of static dashboards or simple chat bubbles, the OS uses Generative UI.22 The interface adapts to the context of the conversation. Dynamic Charts: If a doctor asks about "Cardiology Trends," the system doesn't just write text; it generates a live, interactive chart of the patient's troponin levels over time. Actionable Forms: If the doctor asks for a "Referral," it generates the referral form, pre-filled with patient data, ready for signature. Contextual Cards: The UI presents "cards" for different data types (medications, allergies, labs) that can be manipulated, reordered, or expanded, creating a fluid workspace that replaces the rigid, click-heavy menus of the EHR.23 7. Regulatory & Ethical Moats: Defending the OS To operate at this scale and depth, OmniMed Pro must build defensible moats around regulation and safety. 7.1 MedHELM Evaluation Framework To prove superiority and safety, OmniMed Pro adopts the MedHELM (Holistic Evaluation of Large Language Models for Medical Applications) framework.1 Unlike static benchmarks (USMLE), MedHELM evaluates models on: Clinical Utility: Is the answer helpful and actionable? Safety/Harm: Did it suggest a fatal dosage or miss a critical red flag? Bias: Does it perform equally well for all demographics? Alignment: Does it follow the specific hospital's protocols? By continuously running MedHELM evaluations on its hybrid outputs, OmniMed Pro provides a "Quality Seal" that single-model providers cannot match without deep integration into the hospital's data. 7.2 Liability Frameworks In a multi-model world, liability is complex. OmniMed Pro positions itself as a Clinical Decision Support (CDS) tool, not a diagnostic device. The "Human-in-the-Loop" is mandatory. By visualizing the debate and uncertainty, the OS places the final decision firmly in the hands of the clinician, mitigating liability risks associated with "autonomous" diagnosis. 8. Conclusion: The Strategic Imperative The OmniMed Pro 'Medical AI Operating System' represents the inevitable evolution of healthcare artificial intelligence. By moving beyond the "Model-as-Product" mindset and embracing an Architecture of Aggregation, it solves the fundamental trilemma of medical AI: Accuracy, Cost, and Trust. Leverage the Router to commoditize the giants (OpenAI, Anthropic) and extract the best capabilities of each.1 Deploy the Consensus Engine (MCC) to achieve "Super-Human" reliability through adversarial debate.2 Unleash the Swarms to automate the physical and administrative burdens of healthcare.7 Infiltrate via Shadow AI to bypass bureaucratic inertia and win the hearts and minds of clinicians directly.3 In doing so, OmniMed Pro does not just "outperform" OpenAI; it contains them, turning their powerful models into mere components of a higher-order medical intelligence. This is the path to disrupting the global medical industry. Technical Appendix: Implementation Roadmap A.1 Deploying the MCC Debate Engine To implement the Model Confrontation and Collaboration (MCC) engine 2: Select Models: Integrate API endpoints for GPT-o1 (Moderator), Claude 3.7 (Reasoning), and DeepSeek-R1 (Critic). Define Prompts: Moderator: "Compare the following diagnoses. If semantically identical, output FINAL. If divergent, initiate DEBATE_ROUND_1." Critic: "Review the diagnosis provided by Model A. Identify any inconsistencies with the provided lab values. Cite clinical guidelines." Set Thresholds: If consensus > 0.8 similarity score, output. Else, iterate max 3 rounds. Fallback: If no consensus, route to "Human-in-the-Loop" queue. A.2 Building the "Sidecar" Extension To build the "Shadow AI" browser extension 3: Manifest V3: Develop using Chrome Manifest V3 for security compliance. DOM Observer: Use a MutationObserver to detect when the EHR (e.g., Epic Hyperdrive web) loads a patient note field. Context Extraction: Scrape relevant DOM elements (vitals, meds) locally in the browser (client-side) to minimize data egress risks. Injection: Inject a floating "FAB" (Floating Action Button) or sidebar IFrame that contains the OmniMed chat interface. Clipboard Actions: Use the Clipboard API to paste generated text back into the EHR's focused input field. A.3 Setting up the Swarm Architecture To orchestrate the Swarm 13: Orchestrator: Use a Python-based orchestrator (like Swarms API or LangGraph). State Management: Maintain a shared "Case State" object (JSON) that all agents can read/write to. Handoffs: Define explicit state transitions. if (labs_missing) -> route_to(Intake_Agent). if (diagnosis_ready) -> route_to(Synthesizer). Standardization: Ensure all agents output in structured JSON (FHIR format) to maintain data integrity across the swarm. Works cited

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  dragon1952 (@gmanshk) reported 35 minutes ago

  From GROK Yes. Max Miller’s attorney released a public Dropbox folder containing an undressed photo of his 2-year-old daughter. It came from a February 2025 text exchange documenting a bruise (later a broken collarbone) noticed during bathing. The image was available for about a day before removal. Miller’s lawyer called it an accidental inclusion of a shirtless photo with no ******** visible. The other side’s lawyers described it as potentially showing ******** and possible CSAM. Miller has acknowledged the photo existed in the materials.