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  • This is just a reverse heat map:

  • This whole thread started with:

    Five nines means that you need people at their desks in shifts ready to start fixing something the moment there’s a problem

    There's no detecting and fixing something that fast. When you're talking about less than 5 minute of outage time a year, it basically means you can't have outages. Which is possible for some, but only for large reliable websites that have the resources to pull that off, and they still don't always make the mark.

    I'm not sure why that simple premise is disagreeable with the OP.

  • Well, only when they are forced to. The rest of the time, it's all "here my social security number and credit card and all of my PII".

  • Solid journalism from... *reads notes* Yahoo Finance.

  • Jiaji also notes that some applications remain unexplored, like space exploration, wherein Y-zipper's tentacles could be built into a spacecraft to grab nearby rock samples.

    WTF am I even reading?

  • No, no website does it. There is no such thing as 100% uptime. If it happens, great, but I can guarantee you that no website even aims for 5 nines of uptime.

    Google is the benchmark for website availability and in 2022 they had an outage that lasted an hour, meaning they didn’t meet 4 nines for the year.

    In 2022. In the other years, they had 100% uptime.

    Also, yes, there are plenty of clients that ask for five-nines. Is it realistic? Probably not. But, they definitely ask.

    If you miss your SLO target for the year, then you missed your SLO target. If you’re down for 60 minutes but fine for the other 11 months, 29 days and 23 hours, you still missed your yearly SLO.

    I understand how SLO targets work. If somebody is asking for a five-nines as an SLO, they are basically asking for 100% uptime, because there is no such thing as a "five minute outage", especially not one that is fixable without total automation.

    Again, a human hasn't even gotten paged and out of bed in 5 minutes time.

  • No, that’s infinite nines, which isn’t possible.

    It's not impossible. Large reliable websites do it all the time. It's call 100% uptime.

    Sure, it's measured per year, and sometimes they have some outage that breaks the record. But, it is possible to have 100% uptime throughout the year.

  • Just shout "lalalalala" until it goes away. Great strategy, people!

  • Five nines means that you need people at their desks in shifts ready to start fixing something the moment there’s a problem

    No, it means you don't have outages. Ever.

    Five-nines is something like 7 minutes of downtime throughout the entire year. At best, you might have automated failover systems that require tiny outages. No human involvement, though, unless you're deal with some major breakage that would have killed the five-nines commitment that year, anyway.

    It's takes a human something like 5-10 minutes just to get out of bed and figure out the situation, anyway.

  • will ultimately result in serious deterioration of life force

    What the fuck is "life force"?

  • It's a pretty dumb way of saying "compared to".

  • Tolkien's estate still gets huge stacks of cash from a book series he wrote over 75 years ago. It's sickening.

  • Noah Webster started it in the 1830s, and then Mark Twain extended it in the 1900s. A quote from him:

    "Necessarily I am interested particularly and especially in the part of the bill which concerns my trade. I like that bill, and I like that extension from the present limit of copyright life of forty-two years to the author’s life and fifty years after. I think that will satisfy any reasonable author, because it will take care of his children. Let the grandchildren take care of themselves."

    But, I agree we need to go back to the original maximum of 28 years. Fuck Twain's argument that it should last so long it benefits his kids. They can get a goddamn job from the nepotistic connection alone.

  • How have you been able to manage the issue of unreliability with the volumes of data you’re dealing with? Is the kind of data which you’re dealing with less likely to be unreliable since it is of a kind the LLM is more likely to process correctly?

    The same way for any other information resource like Wikipedia or some random Reddit post: trust but verify. Always review the code, point out mistakes, call out potential edge cases. Especially with newer thinking models, the hallucinations are minimal. It's mostly just miscommunication in the request, which you can detect in the Thinking stream, stop, and re-correct. Rubberducking makes you better at communicating ideas in general, and providing enough context for the request is everything.

    A lot of it has to do with the type of model you're using, too, and having a decent global rules file tailored to how you want it to respond. If you don't like how the model is responding, try out another one. If it's some repeat mistake it makes, put it in a global rules file, or ask it to make a permanent memory.

    Claude Opus does well at work, but is rather expensive for home use. I use Kimi reasoning models in Kagi for searching questions, and Qwen/GLM hybrid models for local use. It takes a bit of setup and tweaking to get the local stuff working, but LLMs are good at knowing how their own models work, so I just had Kimi help me out with some of the harder troubleshooting.

  • Holy shit... I finally found one of the screenshots for these loaders:

    You could load up a disk full of games and tie it to a boot loader menu like this.

  • I mean, that's how we ultimately got them. We must have had most of the popular ATARI XL games in two wooden floppy boxes.

    But, you gotta respect the networked distribution even back then. Pirates would create their disk packs, upload it to some national BBS. It gets picked up by more local BBSs, and tech-saavy modem users would download it to floppies. All the while sneakernet would carry it down the last mile to fill in the gaps. Some of this shit even went international, as long as somebody dealt with the long-distance fees (or phreaked their way out of them).

    EDIT: Just to give you an idea of the network we were dealing with.

  • “So much for Objective Journalism. Don't bother to look for it here—not under any byline of mine; or anyone else I can think of. With the possible exception of things like box scores, race results, and stock market tabulations, there is no such thing as Objective Journalism. The phrase itself is a pompous contradiction in terms.”

    ― Hunter S. Thompson, Fear and Loathing: On the Campaign Trail '72

    HST's solution to the problem was Gonzo Journalism, and honestly, I think that's been the end result of new media's rise to popularity in journalistic circles. Don't hide behind "objectivism". Instead, embrace the biases and acknowledge them, so that your audience knows where you stand.

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