AOL outages and service status in Fort Myers, Florida

Problems in the last 24 hours in Fort Myers, Florida

The chart below shows the number of AOL reports we have received in the last 24 hours from users in Fort Myers, Florida and surrounding areas. An outage is declared when the number of reports exceeds the baseline, represented by the red line.

Community Discussion

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AOL Issues Reports

Latest outage, problems and issue reports in social media:

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  Jayne (@Jgrady025) reported 6 minutes ago

  @Matt_Pinner 19. I never used AOL.

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  kpmaloyauthor (@kpmaloyauthor) reported 7 minutes ago

  @NikoleCallihan I never had an AOL address. lol

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  Jack (@jackcoder0) reported 14 minutes ago

  6. Quick Note from any screen swipe from the corner and capture instantly. With your Apple Pencil, simply swipe in from the bottom-right corner of the screen when you're in any app or on the home screen. AOL You're reading an article in Safari. A thought occurs. Swipe up from the bottom-right corner with the Pencil. A floating Quick Note appears on top of the article. Write the thought with the Pencil. The note auto-saves. The note auto-links back to the article. Dismiss the note. Continue reading. You're in a FaceTime call. Something important is said. Swipe from the corner. Write it down. Return to the call. The note saved itself. Quick Note is context-aware: if you create it while viewing a webpage, it links to that page. If you create it in an app, it remembers the app context. When you review the note later tap the link and return to exactly where you were when the idea struck. For brainstormers: Quick Note captures ideas without switching apps. Without opening Notes. Without losing your place. The thought → the note → back to work. Under 5 seconds.

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  JOLTZ (@jrholtz) reported 15 minutes ago

  @AshleyInMKE I was born in the 70s and never had an AOL account because my first email was from my college and when I got out Hotmail and Yahoo were the bigger players. And while I've slept in waterbeds a few times, I always hated them and got terrible sleep.

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  Victory Rich Blessed (@RCattarello) reported 22 minutes ago

  @PatriotEagle776 I got 19. Never had an AOL address

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  Brett Caughran (@FundamentEdge) reported 23 minutes ago

  My playful analogy is we are in the AOL era of AI. Early stage of a revolutionary technology, but the delivery mechanism is still clunky, requiring really dumb concepts like prompt engineering. In 1996, you couldn't even imagine business models like Uber, Netflix, the iPhone, YouTube or Tesla FSD, because the technology wasn't even close to capable or cost effective enough. From 1996-2006 global data volume grew by a factor of 10,000,000x (per Gemini), but that growth was hugely deflationary (wholesale IP transit cost down 99%), i.e. good for the application layer and selectively bad for the pipe owners (telecom). Overall, the mix of massive volume growth offset against gnarly price deflation has been a, net/net, positive thing for telecom investing. Does that hold for the frontier labs? "Intelligence pipe" feels like it can be a pretty damn awesome business, but, like telecoms, the evolution of "intelligence pipe as a business" will be extremely path dependent and will require real business models with attractive unit economics to fund. Obviously most of the 90's era telecoms went bust and the assets were only financially productive for the 2nd or 3rd owners, mostly due to balance sheet issues & the subsequent closing of the capital markets window. Though capital markets have evolved materially since the early 2000's telecom bust with a regulatory environment more supportive of monopolies/oligopolies and private capital markets more supportive of funding massive cash burn (to wit, I think it's a really bad idea for Anthropic to IPO in '26, but what do I know?). So imagine that prior but like 10-100x the size of the internet. Maybe more? As in 1996 when you couldn't even envision Netflix/Uber, the iPhone or Tesla FSD, we have zero idea what 2056 looks like, but the exponential will certainly drive even more upside uncertainty in technology. idk, hard to be structurally bearish on the "intelligence pipe" and subsequently, infrastructure that feeds the pipe (though it feels certain there will be super gnarly potholes, messy shakeouts, and bankruptcies along the way, as we saw in telecom evolution), and ultimately what matters is free cash flow production, which feeds from the intersection of exponential volumes against unit level deflation. What's exciting to me with the improvement in the models, both frontier like Fable/Sol and open source like Kimi/GLM/Deep-Seek, is you are getting *closer* to seeing a real application layer possible in a very intellectually difficult sandbox like public market investing. Nearly four years from GPT 3.5 demo, we still aren't there. We are still in the "AOL era" - too slow, not competent enough, too expensive. But we are getting closer. So are we exiting the AOL era? It feels to me like we might be. If I had to guess, my guess is the frontier labs continue to be good businesses (and extremely volatile public stocks), mostly due to the reflexive nature of capital markets & talent acquisition. But what seems really obvious, to me, is that 2026-2036 is going to be the era of the application layer, where the Travis Kalanick-style entrepreneur takes this "intelligence pipe" and envisions new & groundbreaking businesses that change the world. That entrepreneurial accelerate will drive durable and accelerating demand for the intelligence pipe, it seems. It's a really exciting time to be alive.

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  I_Can_See_Clearly_Now (@TantalumWire) reported 25 minutes ago

  @Matt_Pinner 19...never had an AOL address.

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  Tnulb Sivart (@TravisBlunt) reported 27 minutes ago

  @ClayTravis Sports Illustrated is still a thing? Huh, have touched that garbage of a publication in probably a decade, just assumed it was the AOL of sports!

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  Barefoot Student (@BarefootStudent) reported 28 minutes ago

  Mark Cuban says these 5 types of jobs are most at risk from AI, per AOL. 1. Entry-level jobs with repetitive ‘binary’ tasks 2. Junior software developers and routine coders 3. Customer service and call center workers 4. Research and data analyst roles 5. Finance and legal support jobs

• 
  Dave Z (@Dazid) reported 28 minutes ago

  @AngelaBelcamino What dating apps were there in 2003? AOL chat rooms? Lol wtf