AOL outages and service status in Petersburg, Virginia

Problems in the last 24 hours in Petersburg, Virginia

The chart below shows the number of AOL reports we have received in the last 24 hours from users in Petersburg, Virginia 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 Near Petersburg, Virginia

Latest outage, problems and issue reports in Petersburg and nearby locations:

• 
  Ethan (@Big_E_61) reported 22 minutes ago from Colonial Heights, Virginia

  @RC3_All_Day @mkbrogaa_ Shit, I don’t blame her. That aol email is probably why yo PlayStation account got hacked by that dude in Brazil.

AOL Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Brett Caughran (@FundamentEdge) reported 6 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.

• 
  Solo sailing Boat life (@Boa1Solosailing) reported 7 minutes ago

  @Matt_Pinner Nineteen I never had an AOL account

• 
  Cathleen O'Connor (@CathleenOConnor) reported 9 minutes ago

  @lhallwriter 19 - never had an AOL address

• 
  Zasshu the Mon-Thro (@ZasshuT) reported 13 minutes ago

  @AtteraNox Miss understood the assignment oops lets see 15 never used fax, Rotary floppy Disk, AOL Address or record player but used the rest 👴

• 
  Jayne (@Jgrady025) reported 14 minutes ago

  @Matt_Pinner 19. I never used AOL.

• 
  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.

• 
  Aceman67 (@aceman67) reported 15 minutes ago

  @aaliyahvtuber_ 19. Never used AOL

• 
  Cannonball1976 (@jkcannon1) reported 16 minutes ago

  @usanewshq The people offended never would've survived an AOL chatroom *eyeroll*

• 
  Barefoot Student (@BarefootStudent) reported 19 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

• 
  tmnxeq (@tmnxeq) reported 20 minutes ago

  @0xljki obviously there was demand for bandwidth in '99, most people or businesses had none (this is kinda binary and you had to lay pipes throughout the whole country) operationally, this was a high margin business - you lay the pipe once (expensive capex) & but then can AOL CDs to every households, with virtually no marginal cost for addtl customer. "compute buyers have high margins" - brother what have you been smoking. xAI (admittedly now a compute seller) is losing gazillions - maybe that's why they went from buying/producing compute to selling. OAI/ANT have no published financials but spoiler, they are losing billions per year 1/2