AOL outages and service status in Caldwell, New Jersey

Problems in the last 24 hours in Caldwell, New Jersey

The chart below shows the number of AOL reports we have received in the last 24 hours from users in Caldwell, New Jersey 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 Caldwell, New Jersey

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

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  Matthew Weaver (@mattheweaver) reported 12 minutes ago from Montclair, New Jersey

  @cvspharmacy you have the ability to make 2020 less awful, get rid of the car-length long receipts. We all have email, even “Karen” has @aol #cvsreceipts

AOL Issues Reports

Latest outage, problems and issue reports in social media:

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  Cathleen O'Connor (@CathleenOConnor) reported 2 minutes ago

  @lhallwriter 19 - never had an AOL address

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  Secular Chutney (@DhirajAnand) reported 9 minutes ago

  @HemantSorenJMM Whats wrong with uou. Why dont you agree on student demands. Being a anti BJP AND RSS, I would haveike syou tp take firm action on atudentsvdmnds. Not lathicharge rhem. You are action like an idiot and screwing aöl hard work done by Rahul Gandhi.

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  Brian (@Limerick_Brian) reported 12 minutes ago

  @Matt_Pinner 19 never had aol address but had the equivalent

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  Jayne (@Jgrady025) reported 14 minutes ago

  @Matt_Pinner 19. I never used AOL.

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  Brett Caughran (@FundamentEdge) reported 20 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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  Andreux👨🏿‍💻 (@and_reux) reported 21 minutes ago

  a researcher just showed CSS alone can escape the boundaries of an email and mess with the webmail interface itself across Outlook, Gmail, Fastmail, Proton, Yahoo, AOL: fake login screens, stolen tokens, hijacked UI actions, even manipulated AI assistants that read your inbox. no JS required

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  Michael Jefferson (@shadowmrj) reported 23 minutes ago

  @JordynneGrace Oh ****. I'm AoL mailing list efedding old.

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  @SunnyE_Vtuber (@sunnyeren) reported 25 minutes ago

  @KuLycaenion What you miss? I never used a Waterbed nor had an AOL Address

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  jojimbo (@jojimbo_) reported 26 minutes ago

  @dakroot I started...1994? Intro to computer science I was sold & never looked back. ICQ (messenger) predated aol msgr, it was pretty cool, & i did like chatrooms. I worked nights & usually stayed up all night doing homework, so they were good ways to "socialize" around my crazy hours.

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  Unfiltered (@quotesdaily100) reported 27 minutes ago

  WHY THESE COMPANIES LOST EVERYTHING 1. Nokia - Failure to adapt to touchscreen era & Weak software ecosystem 2. Blockbuster - Ignoring streaming shift & Late digital investment 3. Kodak - Resisting digital photography & Protecting film business 4. Yahoo - Missed acquisitions & Leadership instability 5. MySpace - Poor user experience & Facebook's faster innovation 6. BlackBerry - Ignoring touchscreen trend & Slow app ecosystem growth 7. Toys R Us - Heavy debt load & E-commerce disruption 8. Sears - Underinvestment in stores & Amazon competition 9. Compaq - Commoditized PC pricing & Acquired by HP after struggles 10. Palm - Fragmented product line & Late platform updates 11. AOL - Slow broadband transition & Failed Time Warner merger 12. Xerox - Missed PC opportunity & Weak commercialization of own innovations 13. Netscape - Lost browser war to Microsoft & Slow product innovation 14. Napster - Legal battles & No sustainable business model 15. Atari - Market flooding & 1983 video game crash 16. Motorola - Slow smartphone transition & Fragmented product strategy 17. Friendster - Technical performance issues & Facebook's rise 18. Digg - Poor site redesign & User exodus to Reddit 19. Vine - No monetization for creators & Instagram's rising competition