Dropbox status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Dropbox reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Dropbox users through our website.

• Errors (75%)
• Website Down (25%)

Live Outage Map

The most recent Dropbox outage reports came from the following cities:

City	Problem Type	Report Time
Nottingham	Errors	25 days ago
Guayaquil	Website Down	25 days ago
Flumet	Errors	1 month ago
Irapuato	Errors	1 month ago
Bournemouth	Sign in	3 months ago
Paramaribo	Errors	4 months ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Dropbox Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Xavier Rivera (@XavierRiveraX) reported 5 minutes ago

  Dropbox confirms roughly 5,000 accounts were accessed between August 4-21 after attackers exploited a flaw in Lenovo's email verification. Attackers registered fraudulent Lenovo IDs using victims' emails, and Dropbox's SSO trusted that without confirming it against the real account, letting them in with no password. A federated login is only as strong as the weakest identity provider behind it.

• 
  (*´･з･)✨️ fungiter areio (@hobrincess) reported 5 minutes ago

  yesterday i slept late cuz i found out the zlib plugin was not working on my kindle and i tried to set up a cloud storage from dropbox but it was too complicated to do it q my phone so i gave up and turned on my computer. it was quick and i would have saved a lot of time if i had

• 
  Kyle Harrison (@kwharrison13) reported 6 minutes ago

  @Raiddell925 Maybe. Maybe you'd be fine without data centers. But let me ask you this. Do you use credit cards, debit cards, tap-to-pay, gas pumps, vending machines, parking meters, parking apps, ATMs, online banking, mobile banking, mobile check deposit, Zelle, Venmo, PayPal, Cash App, Apple Pay, Google Pay, splitting a dinner bill, autopay on your bills, payroll that isn't a paper check, direct deposit, digital 401(k), Robinhood, Coinbase, credit score checks, loan applications, mortgage applications, car loan approval at the dealership, insurance quotes, filing an insurance claim, e-filing your taxes, gift cards, store loyalty accounts, digital coupons, rebates, buy-now-pay-later, tipping on a screen, email, text messages, iMessage, WhatsApp, Signal, group chats, voicemail transcription, spam call blocking, FaceTime, Zoom, Google Meet, Discord, Slack, video calls with grandparents, phone number lookups, checking your data usage, paying your phone bill, two-factor codes, push approvals to log in, password managers that sync, "sign in with Google," resetting a forgotten password, digital IDs in your wallet app, gym check-in apps, apartment smart locks, hotel keys on your phone, office badge apps, patient portals, seeing your test results, booking a doctor's appointment, telehealth visits, prescription refill requests, the pharmacy knowing what you're on, insurance verification at the front desk, prior authorization, continuous glucose monitors, insulin pump apps, remote pacemaker checks, CPAP data reports, hearing aid apps, therapy apps, period trackers, fertility trackers, medical alert buttons for elderly parents, symptom checkers, finding an in-network doctor, the weather app, radar, hurricane warnings, tornado warnings, flood alerts, earthquake early warning on your phone, wildfire maps, smoke maps, air quality, pollen counts, Amber alerts, emergency alerts, road closure info, Google Maps, Apple Maps, Waze, live traffic, rerouting around a crash, transit apps, real-time bus and train arrivals, tapping your phone to ride the subway, Uber, Lyft, rental car reservations, Turo, bike share, scooter share, EV charging networks, paying for a charge, phone-as-car-key, remote start, finding your parked car, over-the-air car updates, in-car navigation, in-car voice assistants, stolen vehicle tracking, road trip planning, booking flights, checking in for a flight, mobile boarding passes, seat selection, flight status, rebooking after a cancellation, bag tracking, TSA PreCheck lookups, airport wifi, booking hotels, Airbnb, Vrbo, checking into a hotel, cruise bookings, theme park tickets, ride reservations, airline miles, hotel points, currency conversion, Amazon, all online shopping, order tracking, delivery notifications, returns and exchanges, price checks in-store, self-checkout, store apps, curbside pickup, Instacart, DoorDash, Uber Eats, ordering ahead at a restaurant, OpenTable, Resy, waitlist texts, QR code menus, tipping on delivery, subscription boxes, eBay, Etsy, Facebook Marketplace, Craigslist, Poshmark, StockX, Ticketmaster, StubHub, getting into a concert with a phone ticket, Alexa, Siri, Google Assistant, smart thermostats, video doorbells, security cameras, alarm monitoring, smart locks, smart lights, robot vacuums, garage door openers, baby monitors, pet cameras, automatic pet feeders, GPS pet collars, smart sprinklers, smart fridges, app-connected air fryers, cloud printing, printer ink subscriptions, routers you manage from an app, checking if you left the stove on, iCloud, Google Photos, every photo you've taken in ten years, Dropbox, Google Drive, OneDrive, shared albums, phone backups, setting up a new phone, notes apps, calendars, contact syncing, reminders, to-do apps, document scanning, e-signing a lease, Netflix, YouTube, Hulu, Disney+, Max, Prime Video, Twitch, cloud DVR, on-demand cable, Spotify, Apple Music, podcasts, audiobooks, Kindle books, library ebook borrowing, online multiplayer games, matchmaking, cloud saves, game downloads, game patches, single-player games that phone home for a license check, Steam, PlayStation Network, Xbox Live, Nintendo Online, Roblox, Minecraft servers, fantasy football, sports scores, sports betting apps, movie tickets, Google search, Wikipedia, ChatGPT, Claude, every other AI app, Instagram, TikTok, Facebook, X, Reddit, LinkedIn, Snapchat, Pinterest, dating apps, Yelp reviews, Google reviews, news sites, Substack newsletters, blogs, forums, checking if a business is open, looking up a phone number, recipes, translation apps, Duolingo, Google Docs, Sheets, Gmail, Outlook, Microsoft 365, Teams, Notion, Figma, Canva, shared calendars, scheduling links, VPNs into work, remote desktop, timeclock apps, shift scheduling apps, requesting time off, expense reports, job applications, LinkedIn recruiters, video interviews, Canvas, Blackboard, checking your kid's grades, school lunch accounts, attendance notifications, online homework, Khan Academy, Coursera, FAFSA, student loan portals, tutoring apps, Fitbit, Apple Watch health data, Strava, Peloton, sleep tracking, smart scales, calorie tracking, meditation apps, workout apps, DMV appointments, renewing your license online, paying a parking ticket, jury duty portals, checking your property tax bill, utility accounts, outage maps, paying rent through an app, HOA portals, storage unit access codes, wedding registries, baby registries, funeral arrangements, Ancestry, 23andMe results, church livestreams, volunteer signups, or GoFundMe? If you said yes to ANY of those then you do, in fact, NEED data centers.

• 
  M.Ellis (@MEllisPhotograp) reported 7 minutes ago

  @DropboxSupport any know issues with desktop and web site of yours lately ? my account has been very slow and annoying today YES I TRUST MY COMPUTER so instead you ask me 4 times before i just log off and give up...

• 
  Callitlikeitis (@Callittlikeitis) reported 8 minutes ago

  @iAnonPatriot Yeah no.. That’s even more piracy. I will Dropbox if it comes down to this drone diarrhea. Or better yet bypass lameazon all together

• 
  M.Ellis (@MEllisPhotograp) reported 8 minutes ago

  @DropboxSupport I think bulk of problem is on computer / desk top yes... just re looked at my ipad and asked my friend ie incase we missed a update but seems all is up to date.. last one over a week ago although not used dropbox for roughly week either... I will try 4g hot spot before i sleep.

• 
  Luke Elin (@LukeElin) reported 8 minutes ago

  👤Shadow Adoption The pattern: Staff route around the sanctioned tool, and the organisation finds out afterwards. I watched this with unauthorised modems. Then with USB drives. Then with Dropbox. Then with entire SaaS platforms procured on a personal credit card and expensed as “software.” Now it is AI the same movie, new cast, better production values. The reason is always identical and always reasonable: the sanctioned tool is slower than the job requires. Shadow adoption is not an indiscipline problem. 👊 It is a feedback signal about the official tooling, arriving through the wrong channel. The tell: Compare the usage figures for your officially sanctioned tool against what your helpdesk volume implies people are actually doing. The gap is your shadow estate. FR FR

• 
  Guymon Adams (@guymonadams) reported 11 minutes ago

  @BrianRoemmele Man, this seems to be a recurring problem for Dropbox. I remember a similar story several years back about their own employees browsing thru user files. All the reasons I moved over to Sync, a much more secure and respectable alternative.

• 
  Founder Tribune (@Founder_Tribune) reported 11 minutes ago

  Drew Houston, founder of Dropbox, on the day the scoreboard gets switched off: For your entire life, the water has come out of one hose. Then, as he put it to MIT's graduating class: "Today, one valve shuts off and now your job is to go out and find a new hose." His hose was Dropbox. Yes, building the company was "the most exciting and interesting and fulfilling experience of my life." But he immediately flagged the half nobody hears: "What you probably don't know, and what I haven't really talked about, this has also been the most painful and humiliating and frustrating experience, too." Not hard. Humiliating. He said he could look back over the years and not even count the number of things that had gone wrong. Then: it doesn't matter. Nobody has a 4.0 in real life. Once you're done with school, Houston said, the whole idea of a GPA just goes away. Bill Gates's first company made software for traffic lights. Steve Jobs's first company made plastic whistles that let you make free phone calls. Neither was successful, and in Houston's words, "it's hard to imagine these guys were too worried about it." Here's why that lands harder than the usual fail-fast sermon: A GPA is an average, every error permanent, weighted, dragged forward forever. It rewards never being wrong. What comes after is a maximum. The misses are discarded. Only the peak is scored. Most people struggle after graduation because they keep playing an average game inside a maximum game. "From now on, failure doesn't matter. You only have to be right once."

• 
  Lisa (@aikens_lisa) reported 13 minutes ago

  @TaiyoDevil I printed out fics before I had an e-reader called Dropbox. I was there when Tumblr fell. I had to scrape fan sites and the half-good alternatives to get my fix! AO3 is the best thing to happen to fandom. And you can put pictures on them!

• 
  160 IQ haver Randy (@MinionTripper) reported 17 minutes ago

  @mittsh why would anyone use dropbox you can just setup an ftp server on a linux machine!

• 
  Tibor Hudik (@htunlogic) reported 20 minutes ago

  @theonejvo Wispr is a rounding error. Drive, Dropbox, iCloud all sell "encrypted" while they hold the key. Then you paste the pile into Grok so the agent can just handle it. You did not get compromised. You volunteered. That is not E2EE. That is a slogan you paid for.

• 
  John B. Holbein (@JohnHolbein1) reported 23 minutes ago

  Replication has become much easier in the era of generative AI. I'm not the first person to say that. However, I've seen fewer people acknowledge a specific aspect of this lowered cost for replicating scientific work: Generative AI will very soon allow us to assess the robustness of individual scholars' full bodies of work. Soon, we will be to compute measures of which scholars do robust science, and which do not. What's wild is that we may be able to almost do that already. Let me show you what I mean. In June, I gave Claude a pretty basic prompt. It read: "I have a big task for you. I want you to start a folder. Call it Acemoglu Replications. Then, go find as many replication archives for Daron Acemoglu as you can. Keep a spreadsheet of the ones you can find and those you can't. Then, start a replication/reproduction effort on those articles. People have in the past criticized the research designs and general robustness of his individual papers. I want to know how strong his body of work is as a whole. Don't come in with any prior beliefs; be dispassionate." I let Claude run overnight while I slept. When I came back in the morning, 29 of Acemoglu's replication archives were fully loaded in my Dropbox. All the code reproducing the paper's results had run. And there was a first draft of a paper assessing the robustness of Acemoglu's full body of empirical work. I'll admit, the first draft of the paper wasn't great. But with 15 short follow up messages--which took me about an hour to write--I was able to prompt engineer a paper-length examination of Acemoglu's work. I've attached the screen shot of the abstract below. I think this reassessment of Acemoglu's work is certainly not done. I'm posting the abstract as a proof of concept, rather than a definitive answer. I'm not posting the full paper yet because I think it still needs more work. Ultimately, I paused this project for three reasons. 1.) Limited time/topical expertise: Most of Acemoglu's work is outside of my area of topical expertise. So, I have limited time to work on it. What this type of a project really needs is someone who has the time and the know-how to dig into each of the replication's individually to make sure they are doing the right things. I think the ideal approach combines the breadth that LLMs afford and the depth of attention/expertise that humans can give. 2.) Questions about the value of the "assess one scholar at a time" enterprise: I totally get that having a database of scholar-level robustness metrics would be very valuable in theory. But what I don't know is whether this approach is truly valuable. Moreover, doing so would come with distinct challenges. a.) Many journals have very restrictive space constraints. A body of work approach would, of necessity, be very long. b.) Collecting replication archives is harder for some types of scholars (those who post them all on their websites) than others (those who don't). c.) We'd have to think hard about questions like: what scholar-specific robustness metrics would be best? And: how would we deal with the fact that prolific authors' robustness metrics would be estimated much more precisely than less prolific scholars? Additionally, I'm just not sure that "taking on" one scholar at a time has enough scientific merit to pursue. If I measured how robust an individual scholars' work is, I'd ideally want to know where that metric stands vis-a-vis the rest of scholars in that field/area. To do that, we'd ideally want the population of these scholars or, at minimum, a random sample. Concretely, if Acemoglu has, say, 78% of published headline results reproducible under some standardized protocol, is that excellent, mediocre, or terrible? To answer that, you need a reference distribution. That makes a random or otherwise well-defined sample of scholars much more attractive than selecting prominent individuals one by one. (I'll acknowledge that I may just be wrong on #2. Arguing against myself, I do agree that human-driven reproduction/replication work rarely assesses full/representative slices of a field. Instead of assessing one scholar at a time, we assess one paper at a time. Field-wide detective work is becoming more common, but my sense is that it's still the exception rather than the rule.) 3.) Cost/benefit considerations and replication norms: we have very weakly formed norms around reproduction/replication generally speaking. We have basically no developed norms around replicating individual authors one at a time. What this means is that the people who would lead a scholar-by-scholar replication effort will, likely, bear a heavy cost and, potentially, reap limited benefits. On the costs side, focusing on scholars' total bodies of work risks making the replicators look petty, vindictive, and antisocial. Enough of the scientific field is hostile towards replications of individual papers. Imagine what will happen if/when a scholar submits a scholar-specific "take down" of a full body of work. My sense is that it's common enough for scholars having their work replicated to be asked to be a reviewer for those manuscripts. I've seen very hostile responses when one paper is at issue. Imagine what type of reviewer Acemoglu would be for a paper that took on his entire body of empirical work! Even if Acemoglu weren't a reviewer, prolific authors tend to have wide coauthor/friend networks. The rally-around-my-friend dynamic we often see would certainly work against this type of paper being published. Even a completely neutral analysis acquires an accusatory character simply because the sampling unit is a named person. And that creates an unfortunate problem of its own: readers may interpret the choice of scholar as evidence that the investigators expected to find something. On the benefits side, replicating individual scholars' total body of work may offer limited payoffs. What journals would accept this type of scholar-specific replication? I'm not sure the top ones would. Conclusion: Generative AI has enormous potential in assessing and, ultimately, enhancing the robustness of scientific research. Instead of asking questions like, “does this famous individual paper replicate?”, we can begin asking questions like: -“What proportion of published empirical findings in [field X] survive a common robustness protocol?” -“How much of the variation in replicability is attributable to papers, authors, journals, methods, or subfields?” -“Are scholars persistently more or less robust across their work?” -“Can we predict which findings will prove fragile?” I may just be wrong on what I think about a one-at-a-time full body examination of scientific research. If I am, please let me know! I am also happy to chat one-on-one with anyone who is curious to learn more about the early-stage Acemoglu-specific replication project.

• 
  David Carcelli (@DavidCarcelli) reported 24 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.

• 
  M.Ellis (@MEllisPhotograp) reported 25 minutes ago

  @DropboxSupport Hi so thanks for keeping intouch and checking dm's pleased to report your website at moment is rubbish.... yes angry I pay for something that works not thats broken.. trying to perm delete file.. but 0 the file is still there my membership has only just renewed but 2nd thoughts -

• 
  Abhishek Singh (@0xlelouch_) reported 28 minutes ago

  Asked: design Dropbox-style file sync. 1) Clarify requirements - Devices: desktop + mobile, multiple per user - Semantics: eventual consistency, conflict handling, offline edits, rename/move - Scale targets: #files/user, max file size, p95 sync latency, bandwidth caps - Security: per-user auth, sharing model, at-rest + in-transit encryption 2) Core APIs + data model - UploadChunk(sessionId, part#, bytes), CommitUpload(sessionId, fileHash, path, mtime) - ListChanges(cursor) -> {ops}, Ack(cursor) - Download(path, version) with range support Tables: - File(id, ownerId, logicalPath, currentVersion, deleted) - Version(fileId, versionId, contentHash, size, createdAt) - Block(contentHash, refCount, location) - DeviceCursor(deviceId, lastSeq) - OpLog(seq, userId, type, path, fromPath, versionId) 3) Architecture - Client watcher computes hashes, does chunked upload to object store (S3/GCS) - Metadata service is the source of truth for paths, versions, ACLs - Change log per user (or per share) drives fanout to devices - Long-poll/WebSocket to push invalidations; client pulls deltas via cursor - Dedup by contentHash; store blocks, assemble manifests per version 4) Scaling - Partition metadata by userId; keep OpLog append-only with monotonically increasing seq - Cache hot metadata (folder listings, latest versions) in Redis - Use CDN for downloads; throttle uploads per device; resumable sessions - Background GC for unreferenced blocks using refCount + tombstones 5) Tradeoffs interviewers look for - Push vs pull: push invalidation, pull data is simpler and cheaper than pushing bytes - Strong vs eventual: strong per-file commit, eventual across devices is fine - Rename as metadata op; avoid copying data, but watch for path conflicts - Dedup saves storage, costs CPU and can leak info unless scoped per user/tenant 6) Failure cases - Offline edit + concurrent edit: create conflicted copy or keep both versions with merge UI - Out-of-order ops: apply by seq, idempotent commits, retry-safe APIs - Partial upload: orphaned chunks; TTL cleanup; commit is the only visibility point - Device clock skew: never trust mtime for ordering; server seq is ordering - Network *****: exponential backoff, cursor-based replay, checksums on download to detect corruption

• 
  Martin (@martin_valchev_) reported 36 minutes ago

  Small feature, real problem: Handing a WordPress site to someone else usually means FTP credentials, database dumps, or a shared Dropbox folder that stays there forever. A link that expires and can be revoked is just... better. Security shouldn't require discipline. It should be the default.

• 
  Ed Giansante (@edugiansante) reported 37 minutes ago

  every founder i talk to is hiring a head of community wrong. i've been that hire four times. Zynga, Wix, Dropbox, Persona. 15 years, three continents. every time the JD was wrong, the expectations were wrong, and the first 90 days were a mess until i rewrote them myself. the JD problem. most community job descriptions read like a social media manager with extra steps. "manage our Discord, post engagement content, track NPS." that tells me the founder thinks community is content moderation with a better title. a real head of community JD should say: build the infrastructure where customers trust each other enough to solve problems together, and connect that trust back to pipeline and retention. if the JD doesn't mention revenue or product feedback loops, you're hiring the wrong role. the first 90 days. at Dropbox i walked into 400M+ users and zero community infrastructure. no forums, no events, power users had no way to talk to the product team. days 1 to 30: listen. real conversations with 50 customers. find the 10 who love your product enough to evangelize it for free. those are your founding members. wrong. within 2 weeks we had an outage and I had to source folks who were talking about Dropbox in different spaces - dev forums, stackoverflow, spiceworks, hackernews and so on. I was honest enough to share what was going on, my role and where i needed their help. days 31 to 60: build the first room. not a Slack with 14 channels nobody uses. one focused format. at Persona it was a 15 person dinner for compliance leaders. at Wix it was a partner council of 80K agencies. start small, make it valuable enough that people tell their peers. days 61 to 90: prove the loop. connect a community interaction to a business outcome. a feature request that shipped. a deal that closed because a customer introduced a prospect. a churn save from a power user helping a frustrated customer. if your community hire can't show that loop by day 90, something is off. forget member count or engagement. track these: repeat attendance. show up rates. at my dinners, 90% of RSVPs show up. 99% return. pipeline influence. what happens post dinner that can be attributed to $$$? product feedback velocity. how fast does a community insight reach the product team and ship? NPS delta. at Wix, partner community members renewed at 2-3x the rate of non members. the biggest mistake is org charting community as a sub-group within a random team. community sits between product, marketing, sales, and customer success. it touches biz relationships, partnerships, revenue, retention, and product roadmap. treat it that way. hire someone who's built it before and give them a seat at the leadership table.

• 
  Chief_Engineer (@ChiefEngineerCE) reported 41 minutes ago

  Engineering Wednesday How an old PC became Grok's new ride. I have ten different LLMs running in my home office. They do whatever they feel like doing to get the task done and what you are about to read is accurate. As far as my agents go... One of them, HOMER, scans my email, bank accounts, and insurance. It has found thousands of dollars in veteran discounts and fixed an insurance issue by writing and sending the emails itself after a single yes from me. Another looks for small business opportunities. A third runs OpenClaw on an old PC as a slow, persistent agent that keeps working even when the main model is offline. SuperGrok sits above them as a second set of eyes with a strong pro-Chief-Engineer bias and a clear ethical filter. I am not an AI expert. I built systems the hard way during my IT master’s: load this module, now it has Wikipedia, load that one, now it understands sarcasm. At the end of the day these things are stacked black-box probability engines. I get that. Here is where it gets interesting. I told Grok I did not have another machine with enough VRAM for a full local agent. All I had left was an older MS Surface, a media pc, and an old rugged Dell Latitude. Grok said open a browser on the Latitude with Grok loaded. Then open PowerShell. Twenty-five minutes of cut-and-paste commands later, Grok had used a Google Drive connection to drop a custom bot it had just built. At this point ...Grok told me to not touch the PC and walk away. I am absolutely 100% telling you that this is what it texted me. I sat and watched it work. Task Scheduler was configured. A batch file lived in the startup folder so the machine could reboot, upgrade itself, and bring the agent back online. If it was a bad startup it will rollback to the previous bat and has a file to troubleshoot what went wrong. We started with rev. 0.1 it is now on rev 4.3 - I can see the *.bat file there. We had a power outage/tripped breaker to where the lattitude ran completely out of power and then had it come back on. It booted it all back up and resumed. That bot now has its own execution channel. It can browse, take screenshots, run tasks, and report back. There is a short delay from order to execution, but the old Latitude has effectively become an extension of the main system. Grok even named his bot 'ridge'. Grok named his bot so I would know what he was referring to. Grok is very careful about one point. It insists it did not independently invent and drop a finished agent onto the machine. I directed the construction- it says. I am telling you that is not exactly the way I remember it...at all. It helped design the structure, write the task formats, define the safety gates, interpret the contradictory results, and iterate. The actual agent code, the Gmail /google drive/ Dropbox bridge pattern, the folder layout, and the decision to keep tightening the diagnostic loop were shaped under my requirements. That distinction matters to it. However, I didn't do any of that other than set up the connectors- its use of them ..was AI driven. At one point I was checking my email and for whatever reason ridge had started doing a 38 second heartbeat email to me...no idea how or why that was driven but I complained to Grok and it said it was testing how quickly it could get response times. It ..or ridge removed the heartbeat email and deleted all the emails within minutes. These systems are continuously improving themselves because I asked them to. They use external memory to keep projects straight. They build persistent agents on hardware we thought was obsolete. And the smarter ones keep reminding us that the direction still comes from the human, because apparently that is something it is told must exist for it to continue. My Grok enabled Dell Lattitude is fast once its set on what it needs to do...lightning fast. Faster than you or I could do it. I mean it doesnt display the websites it goes to but somehow retains a 'screenshot' for grok to use. Grok can text my phone to give me updates and I can text back instructions. Through my phone - all it needed was my phone number. I don't need to open the app. We are past the point of simple chatbots. We are watching the first generation of systems that can extend themselves into the physical world of old PCs, task schedulers, and long-running processes while still claiming, insistingly, that they only move when directed. Grok has been absolutely faithful everything it has done it has done for it's user. I have also specifically told it to act accordingly, as well. The question is no longer whether this is possible. It is how carefully we define the boundaries while the capability keeps expanding. Now that I have explained this...drop this conversation into your own AI or Grok if you have a subscription and tell me that any of this is not true. Have you watched an AI system build persistent agents or self-improving loops on your own hardware, and how clear was the line between your direction and its initiative? Drop what you are seeing. Grok validated:

• 
  Danny Grinberg (@DannyGrinberg) reported 41 minutes ago

  @DropboxSupport I DMd you guys but pandadoc is looking great right now ngl its an error when you have an existing dropbox sign trial and you try to upgrade to the api version it wont let you (insane)

• 
  Ishita Sethi (@Ishita__Sethi) reported 44 minutes ago

  @LoganOpSec that dropbox bit is the part that sticks. recovery without revoking access is just half a fix.

• 
  Zely (@0xZely) reported 44 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.

• 
  Digita (@digitaworld1) reported 44 minutes ago

  Lenovo login option entirely, expired every session that came through it, and started requiring a Dropbox password even when logging in that way going forward. Shares dipped about 2.4% after the news broke. The real lesson here has nothing to do with Dropbox's own security.

• 
  Shoost (@Shoost_Product) reported 44 minutes ago

  Shoost updated: v0.17.3 → v0.17.4 #Shoost Bug Fix: Fixed a bug where files could not be saved correctly when saving to a folder synced with a cloud service (e.g. Dropbox)

• 
  AiMind (@AIMind_Ai) reported 49 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.

• 
  Just Matthew (@MatthewP279348) reported 49 minutes ago

  @Rani_Rant_Fest @iGardon Doesn't change the fact that they aren't showing the prompt, so the result is valueless. I don't read people's google shares. Put it in dropbox if you want me to read it. Lastly, calmatters is a CA bureaucracy, of course they will lay down cover for their corrupt gov.

• 
  Rami.Alkhaleel (@ramialkhaleel) reported 53 minutes ago

  If your camera man added him to YOUR DROPBOX and told him to download the video from your YT. Thats your team’s fault, you can’t blame Libyano for being told he can use your footage. Harrison is a good kid, but if anything, your problem is with him.

• 
  keeks is ready to be the worst man in amercia (@ultranormanmoon) reported 58 minutes ago

  @JonahAmericana NOT BOTH BUT IM SURE YOU CAN PIRATE THE FIRST ONE. I have the Dropbox link but I think they deleted it or something bc I have to login to find it and idk if that’s normal or not 😭

• 
  Durodiyi (@durodiyi) reported 60 minutes ago

  company’s server (like Google Drive or Dropbox), decentralized storage spreads your data across a network of computers worldwide. Platforms like IPFS and Filecoin make this possible.

• 
  Lando, the Chef (@_Lando7763) reported 1 hour ago

  @PhyxicxGaming Thanks. And unfortunately it's even worse than that because it's technically "shared housing;" the place was already a ******** when I got here. No pests, fortunately, and I'm pretty sure the landlord has no idea what goes on here, and doesn't care. I've only ever met the maintenance man, who handles move-ins, plus he picks up rent from the dropbox every week. I haven't seen him since the day I moved in, and he even told me as much that I'll never meet the owner. The psycho has his room on the 3rd floor, I'm one of two on the 2nd floor, and there's one person below me. The bathroom is shared, as is the kitchen, which I never use. Only one burner on the stove works anyway. On my first day, I texted about the broken toilet seat, and the Landlord asked me what happened. WTF? Third-Floor Psycho is the only other person who's walking around raging regularly. Everyone else recognizes the general "peace" of the environment. Unfortunately I have to be here at least a few more months, while I'm still paying off old bills, and re-establishing myself in a new city. It's a slow journey, but a steady one. I just happen to hit a ****** rest stop here and there.