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  3. Entirely Foreseeable AWS Outageshttps://rys.io/en/182.html

Entirely Foreseeable AWS Outageshttps://rys.io/en/182.html

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  • rysiek@mstdn.socialR rysiek@mstdn.social

    Entirely Foreseeable AWS Outages
    https://rys.io/en/182.html

    Once you strip away the marketing hype, agentic systems like Kiro AI are just automation tools.

    The difference between Kiro and regular infrastructure management tools is that the latter are deterministic. They can be tested, analyzed, and bugs can be reliably, provably fixed.

    That's just not the case with agentic tools. They are by their very nature non-deterministic. And that's the last thing a systems engineer should want.

    #SysAdmin

    tanfonto@hachyderm.ioT This user is from outside of this forum
    tanfonto@hachyderm.ioT This user is from outside of this forum
    tanfonto@hachyderm.io
    wrote last edited by
    #9

    @rysiek How do you funnel suckers, I mean, errr... investors, into "deterministic tools we've been using for decades", though?

    1 Reply Last reply
    0
    • rysiek@mstdn.socialR rysiek@mstdn.social

      @hans

      > On the other hand, people aren't deterministic either, and they are the most valuable tools

      Whoa, okay, maybe let's start by not calling people "tools".

      You have a massively complex system like AWS infrastructure. You have engineers who are not "deterministic" in the sense that software is deterministic, managing it.

      Why on Earth would you want to complicate your life and take on loads of risk by adding another layer of random non-determinism in there? Makes no sense.

      tanfonto@hachyderm.ioT This user is from outside of this forum
      tanfonto@hachyderm.ioT This user is from outside of this forum
      tanfonto@hachyderm.io
      wrote last edited by
      #10

      @rysiek @hans you want deterministic tools exactly because humans are unpredictable; this is how you mitigate it

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      0
      • d1@autistics.lifeD d1@autistics.life

        @hans I agree people are precious and unique - and also super non-deterministic.

        I think AI can be most effectively used to stimulate new thinking, and make bold forays into new-to-oneself domains of knowledge. The LLMs can reveal lots of new terminology, and possibilities one didn't think to search for before. But then one has to take one's time, verifying the claims (often wrong), and synthesize a truth for oneself, going beyond the hallucination of the LLMs. So I think of LLMs/agents more like *discovery* tools, at best, but much less something to build solid foundations with.

        hans@social.woefdram.nlH This user is from outside of this forum
        hans@social.woefdram.nlH This user is from outside of this forum
        hans@social.woefdram.nl
        wrote last edited by
        #11
        @Owl Eyes That's my experience so far, indeed. But the new knowledge that my tool has brought me, is more often than not wrong.

        It has no problem telling me to configure settings that don't exist, even after I tell it they don't exist.

        So far, it has been an interesting journey, but hasn't saved me any time. In fact, I have spent a lot more time, because I had to explain to my agent what I wanted, and go on a wild goose chase afterwards to check its solutions.

        But I kind of expect that in a few years, these tools will become good enough to actually help.
        1 Reply Last reply
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        • rysiek@mstdn.socialR rysiek@mstdn.social

          @hans

          > On the other hand, people aren't deterministic either, and they are the most valuable tools

          Whoa, okay, maybe let's start by not calling people "tools".

          You have a massively complex system like AWS infrastructure. You have engineers who are not "deterministic" in the sense that software is deterministic, managing it.

          Why on Earth would you want to complicate your life and take on loads of risk by adding another layer of random non-determinism in there? Makes no sense.

          hans@social.woefdram.nlH This user is from outside of this forum
          hans@social.woefdram.nlH This user is from outside of this forum
          hans@social.woefdram.nl
          wrote last edited by
          #12
          @Michał "rysiek" Woźniak · 🇺🇦 I'm a sysadmin myself, so I can call them tools 😇

          But agree: at the moment these agentic tools aren't good enough to be trusted with massive, complex tasks. But I would be surprised if that would remain the situation for long.
          rysiek@mstdn.socialR 1 Reply Last reply
          0
          • hans@social.woefdram.nlH hans@social.woefdram.nl
            @Michał "rysiek" Woźniak · 🇺🇦 I'm a sysadmin myself, so I can call them tools 😇

            But agree: at the moment these agentic tools aren't good enough to be trusted with massive, complex tasks. But I would be surprised if that would remain the situation for long.
            rysiek@mstdn.socialR This user is from outside of this forum
            rysiek@mstdn.socialR This user is from outside of this forum
            rysiek@mstdn.social
            wrote last edited by
            #13

            @hans I would be surprised if it ever meaningfully changes.

            1 Reply Last reply
            0
            • rysiek@mstdn.socialR rysiek@mstdn.social

              Entirely Foreseeable AWS Outages
              https://rys.io/en/182.html

              Once you strip away the marketing hype, agentic systems like Kiro AI are just automation tools.

              The difference between Kiro and regular infrastructure management tools is that the latter are deterministic. They can be tested, analyzed, and bugs can be reliably, provably fixed.

              That's just not the case with agentic tools. They are by their very nature non-deterministic. And that's the last thing a systems engineer should want.

              #SysAdmin

              clickhere@mastodon.ieC This user is from outside of this forum
              clickhere@mastodon.ieC This user is from outside of this forum
              clickhere@mastodon.ie
              wrote last edited by
              #14

              @rysiek

              Pfft, please. Engineers. They're so unreasonable.

              What are engineers looking for? Precision?

              1 Reply Last reply
              0
              • rysiek@mstdn.socialR rysiek@mstdn.social

                Entirely Foreseeable AWS Outages
                https://rys.io/en/182.html

                Once you strip away the marketing hype, agentic systems like Kiro AI are just automation tools.

                The difference between Kiro and regular infrastructure management tools is that the latter are deterministic. They can be tested, analyzed, and bugs can be reliably, provably fixed.

                That's just not the case with agentic tools. They are by their very nature non-deterministic. And that's the last thing a systems engineer should want.

                #SysAdmin

                S This user is from outside of this forum
                S This user is from outside of this forum
                slotos@toot.community
                wrote last edited by
                #15

                @rysiek It’s not that they are non-deterministic - they actually aren’t. Same input will generate the same output as long as you configure it not to perform random sampling or bind the random number generator to a stable input.

                The problem with these tools is that they are unpredictable. You cannot reason about their output beforehand. Nor can you reason about the effect changes to inputs are gonna have on the outputs.

                That’s not non-determinism, that’s chaos.

                rysiek@mstdn.socialR 1 Reply Last reply
                0
                • S slotos@toot.community

                  @rysiek It’s not that they are non-deterministic - they actually aren’t. Same input will generate the same output as long as you configure it not to perform random sampling or bind the random number generator to a stable input.

                  The problem with these tools is that they are unpredictable. You cannot reason about their output beforehand. Nor can you reason about the effect changes to inputs are gonna have on the outputs.

                  That’s not non-determinism, that’s chaos.

                  rysiek@mstdn.socialR This user is from outside of this forum
                  rysiek@mstdn.socialR This user is from outside of this forum
                  rysiek@mstdn.social
                  wrote last edited by
                  #16

                  @slotos if we want to be nit picky, sure why not – these models use random seeds while generating their output.

                  So while *technically* you are correct (the best kind of correct!) that if all inputs are exactly the same, the outputs will be the same as well, from the perspective of these systems as they are being used bye people using them, they are non-deterministic, because these users have no control over the random seed.

                  S 1 Reply Last reply
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                  • rysiek@mstdn.socialR rysiek@mstdn.social

                    @slotos if we want to be nit picky, sure why not – these models use random seeds while generating their output.

                    So while *technically* you are correct (the best kind of correct!) that if all inputs are exactly the same, the outputs will be the same as well, from the perspective of these systems as they are being used bye people using them, they are non-deterministic, because these users have no control over the random seed.

                    S This user is from outside of this forum
                    S This user is from outside of this forum
                    slotos@toot.community
                    wrote last edited by
                    #17

                    @rysiek I’m not saying this to sound correct, I’m saying this to point out a deep design issue with these tools that gets ignored in the public discourse.

                    Non-determinism is not where the actual issue lies. If it was, tech bros advocating for adoption of local LLMs would have a leg to stand on.

                    There are useful [pseudo-]non-deterministic tools in IT. I cannot name a single useful chaotic one.

                    rysiek@mstdn.socialR 1 Reply Last reply
                    0
                    • S slotos@toot.community

                      @rysiek I’m not saying this to sound correct, I’m saying this to point out a deep design issue with these tools that gets ignored in the public discourse.

                      Non-determinism is not where the actual issue lies. If it was, tech bros advocating for adoption of local LLMs would have a leg to stand on.

                      There are useful [pseudo-]non-deterministic tools in IT. I cannot name a single useful chaotic one.

                      rysiek@mstdn.socialR This user is from outside of this forum
                      rysiek@mstdn.socialR This user is from outside of this forum
                      rysiek@mstdn.social
                      wrote last edited by
                      #18

                      @slotos well, Chaos Monkey:
                      https://netflix.github.io/chaosmonkey/

                      S 1 Reply Last reply
                      0
                      • rysiek@mstdn.socialR rysiek@mstdn.social

                        Entirely Foreseeable AWS Outages
                        https://rys.io/en/182.html

                        Once you strip away the marketing hype, agentic systems like Kiro AI are just automation tools.

                        The difference between Kiro and regular infrastructure management tools is that the latter are deterministic. They can be tested, analyzed, and bugs can be reliably, provably fixed.

                        That's just not the case with agentic tools. They are by their very nature non-deterministic. And that's the last thing a systems engineer should want.

                        #SysAdmin

                        tyzbit@toot.nowT This user is from outside of this forum
                        tyzbit@toot.nowT This user is from outside of this forum
                        tyzbit@toot.now
                        wrote last edited by
                        #19

                        @rysiek and the non-determinism is a feature, not a bug. LLMs are just a set of transformations performed on an input and the same input should/would result in the same output but they intentionally add a randomness factor to the input so the output seems more "natural" and therefore also more error-prone and inscrutable.

                        anyone using LLMs in situ for performing tasks, especially automation tasks, are playing russian roulette in a literal sense.

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                        • rysiek@mstdn.socialR rysiek@mstdn.social

                          @slotos well, Chaos Monkey:
                          https://netflix.github.io/chaosmonkey/

                          S This user is from outside of this forum
                          S This user is from outside of this forum
                          slotos@toot.community
                          wrote last edited by
                          #20

                          @rysiek And how is that chaotic? In a mathematical sense, please.

                          rysiek@mstdn.socialR 1 Reply Last reply
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                          • S slotos@toot.community

                            @rysiek And how is that chaotic? In a mathematical sense, please.

                            rysiek@mstdn.socialR This user is from outside of this forum
                            rysiek@mstdn.socialR This user is from outside of this forum
                            rysiek@mstdn.social
                            wrote last edited by
                            #21

                            @slotos wow, I had no clue I'm taking an exam.

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                            • R relay@relay.infosec.exchange shared this topic
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