AOL outages and service status in Holbrook, New York

Problems in the last 24 hours in Holbrook, New York

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

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

• 
  Arcueid🚩Bjornstad💘(LVL 32) (@theRealArcueid) reported 17 minutes ago from Coram, New York

  @rehab_kyle @vocaloidfagboy I'm a Wizard who used to be online since the 1990s and I predate /b/, so I associate Being Online still with Trying to Be polite -the Internet went from being Virgin (aol) to chad (b) to Virgin (modern social media) in your local argot, from my pov. But alas, I never

• 
  Tom Brennan (@ThomasB55220799) reported 51 minutes ago from Central Islip, New York

  @CatLover56577 19. Never had AOL address

• 
  Peter Wolfinger (@PeterWolfinger) reported 57 minutes ago from Centereach, New York

  @RealTina40 They're weak.... I debate with people on the internet all the time since the 90's on AOL.... Never blocked a soul.

AOL Issues Reports

Latest outage, problems and issue reports in social media:

• 
  tonnaree🦄🐝🍑 🌈🙃(she/her) Pro-Choice (@tonnaree) reported 2 minutes ago

  @SarahSevans2000 17. Never was on AOL

• 
  méli mélo (@PulsePersephone) reported 2 minutes ago

  In like 1997 an adult man found my AOL profile and emailed me just to tell me that I seemed very stupid and and that all my interests were stupid and I emailed him back that I was sorry but that I was 14 and that might have something to do with it.

• 
  Novafan (@Novafan78910) reported 3 minutes ago

  @mar70854f @nemywtf @itskwasi You have to get an undergraduate degree before you go for a PHD retard Zuck and gates were mega geniuses going to harvard. Zuck had a job offer from AOL in high school. Much different from 99.9% of you retards who say “well an immaterial amount of rich people don’t have degrees”

• 
  StockCrusher (@stonksamiam) reported 4 minutes ago

  @grok why is your latency so slow compared to ChatGpt, Gemini, Claude, etc. I wait and wait and wait while you think. Reminds me of AOL dial up in the 90s.

• 
  Tony Soprano (@Rick847549) reported 4 minutes ago

  @Bw8496 Yes, America only, and yes I have a VPN because I love talking mad **** on here, like the good old days in the AOL chat rooms.

• 
  Rene (@rowdyjeepgirl) reported 6 minutes ago

  @Soaringeagle45 I never had an AOL email address. It was Juno

• 
  George (@George1oiw) reported 8 minutes ago

  @ChuckGrassley This isn’t AOL. Stop with the stupid abbreviations.

• 
  Bazz (@CbazzThaGreat) reported 9 minutes ago

  @RE420 Listen. AOL chat rooms on dial up internet. My tribe. I’ve worked in the school system here with middle schoolers no less. I’ve seen it first hand, had to do investigations on kids phones because of **** they did and Said on social media. It’s **** naw for me.

• 
  grams de champ (@gramsdidit) reported 10 minutes ago

  @JeffJSays in 1997 i had our old clunker computer hidden in my closet with extension cord under the carpet around the bed to power so i could chat with friends on AOL dialup and play roller coaster tycoon after folks went to bed, never got caught. these kids got it easy

• 
  Sandy Kory (@sandykory) reported 10 minutes ago

  I haven’t been buying the "SaaSpocalypse," but Q1’s nosediving SaaS valuations gave me pause. After a week in SF last month sampling the AI zeitgeist, I have a better feel for where the software sector is heading. It’s the SaaS-to-inference transition, and it’s good. My long-standing view has been that AI is a net positive for the software industry. It radically raises the ceiling for what software products can do. It should dramatically expand the market opportunity for software, just like the on-prem-to-cloud transition did back in the day. Yet many have been freaking out. After all, haven’t SaaS switching costs come down dramatically in SaaS, threatening one of the pillars of the business model? Yes, there’s no doubt that the “cement around the ankles” of legacy SaaS has weakened. At the same time, most legacy SaaS companies have barely scratched the surface of AI innovation while maintaining their historically high retention. This is how it played out in the last major transition: on-prem-to-cloud. Many legacy players (pathetically) ignored cloud innovation for 5-10 years (or longer) and still kept their customers. It turns out that technology is stickier than most in the tech industry believe. Take a look at Bending Spoons, which IPO’d off the back of buying crappy legacy products and jacking up prices because users didn’t want to give up their AOL email or Evernote notes. Tech industry people are not like this. They tend to be part of the very small minority of early adopters. Most people aren’t like this. Neither are most organizations. Legacy software isn’t going to disappear. But if pre-AI software companies don’t embrace AI innovation, their customers will be much less forgiving than on-prem customers 10-20 years ago. AI capabilities are too potent and obviously beneficial. What does embracing AI innovation look like? It means layering intelligent actions into all software. Historically, great software has helped users follow the right workflow. Now, great software must do the workflow by triggering agents to take actions. In other words, inference. The great news for everyone is that this opens the door to consumption-based pricing models that can scale exponentially. For legacy players and startups alike, delivering amazing AI-powered, agentic features is the way to get on the vertical-growth train. Remarkably, the door is still open for legacy players. Intercom’s 3.6b exit to Salesforce is a great example. Of course, new pricing models mean new margin structures. Just as SaaS had lower gross margins than legacy on-prem, expect consumption-priced inference to have lower gross margins. This is OK! We’ve already seen massive wins for inference-selling startups with negative gross margins, like Cursor. Legacy SaaS companies need to find religion on this. Dropping margins is never easy. Lock up the finance team if you have to. The priority is delivering AI-powered value for customers. Everything else is just details.