Patricia AasThanks to @vaurora for pointing me in this direction š¤
I guess everyone probably needs to get stuff explained in a way that ties in with the things they already know. Iām sure this probably is a whole field in pedagogy.
I have been sidetracked into what is a side quest in the book. A strange electronic system set up in Chile under Allende before the dictatorship. I was looking on Wikipedia and found this podcast: https://the-santiago-boys.com/ imagine grafana dashboards and data driven decisions meets socialism andā¦ Star Trek aesthetics.
This thing is wild āProject Cybersynā
https://en.wikipedia.org/wiki/Project_Cybersyn
https://en.wikipedia.org/wiki/Project_Cybersyn
Also, even if I kind of grew up in this, I hadnāt really thought about it for years. But one of the big things Latin America saw in this period were dictatorships brought about by large international corporations (often backed by the US) that preferred a āstrong leaderā so that they could extract the countryās resources in peace without being bothered by the pesky people who lived there. Ref the expression Banana Republic.
This scholarship might be progressively more relevant for the rest of the world going forward.
The US had their hand in pretty much every single military dictatorship in Latin America, this included money (remember Iran-Contras?), military training and supplies (everything to equip your friendly military dictatorship) and running disinformation campaigns.
And the US is still doing this BS apparently: https://www.reuters.com/investigates/special-report/usa-covid-propaganda/
Finished first read, but now I need to reread the beginning. Current impression is that I find the arguments individually interesting. Iām not sure the underlying logical argument they are a part of is logical or if the conclusion is a logical result. But I still found the book very interesting. Especially the first 3/4ths. The basic logical argument he seems to present is that current capitalism has constructed a mechanism that forces managers of publicly traded companies to serve shortterm goals. And that this makes it impossible for companies to adapt sufficiently to accommodate looming crises like climate change. When leadership has to deliver on quarterly numbers they cannot steer according to any other metrics. I think his idea is that if we can somehow break that mechanism thenā¦ and this part Iām unclear on and Iām not sure I find it very interesting either.
Basically I donāt know how I feel about the broader logical argument, but I found the discussion to get there very interesting.
Basically I donāt know how I feel about the broader logical argument, but I found the discussion to get there very interesting.
He also seems to think that the international tendency to elect populist wannabe dictators is a cry for help. That seems a bitā¦ infantilizing?
I think I need to have lunch with an economist. I have questions.
I think the people for which Cybernetics will make the most sense are people who work in vulnerability research and exploit development. This systems theory fits very well with a lot of their findings and methodology.
Possibly also folks working in machine learning
And people in distributed systems tbh
Basically any field where you have acknowledged that the systems you are concerned with are complex and might never be fully understood, but where you still have stuff to do and you work with the knowledge that these systems are adaptive and might have emergent behavior. And that poking in one place might have unknown consequences. Where the primary tools are around monitoring and feedback to detect and diagnose new behaviors. And to manipulate these complex networks of stuff to do the thing you want, all the while knowing that it might very well also do something completely different and probably not desired.
Oh shit, this fits with medicine too, doesnāt it, @siljelb ?
I guess the fundamental difference from modeling is that even though you might try on occasion to reduce things to a formal model and reason about things in that formal model, you donāt really believe in it. You know the real thing is āaliveā and that the information that is removed to model whatever process you are concerned with, will contain data that is essential and even more importantly: you know that there is essential data that has been removed that you donāt even know is essential.
As a programmer, itās funny to read about people believing in their models. Itās a very junior developer thing to do. Senior folks donāt. They do their best and then they observe. And even more interestingly: if they donāt see unintended consequences of significant changes, they become suspicious.
The more I think about this, the more I need an economist to tell me this isnāt how they actually work and what they actually believe. Because thatās just bananas. First letās āsimplifyā a complex system into a formal model and then you reason in it, maybe run some simulations and thenā¦ you believe it? And this idea of believing in a āmarketā as some sort of entity that will not only stabilize into a state, but that that state is somehow āgoodā, or even āoptimalā. Thatās bananas. Thatās a fucking religion.
Iām sorry, but thatās on level with worshiping kubernetes. Thatās fucking mind boggling.
I guess I have to read Pikettyās Capital book now. Because this is blowing my mind.
https://social.vivaldi.net/@Patricia/112644094554478633
https://social.vivaldi.net/@Patricia/112644094554478633
Patricia Aas (@[email protected])
@[email protected] the āmarketā isnāt an entity. Itās a distributed system, and a distributed system isnāt a moral thing. Itās a thing that is serving the purpose itās supposed to serve or not, and usually somewhere between those. And we try to keep it on that path, we donāt sit back andā¦ wait for it to do its thing? And believe itās Good becauseā¦ I donāt even know. This is a religion. This isnāt something that can be taken seriously.
This world needs a whole lot of intellectuals who are not privileged white men with way too much time on their hands.
By the way, I wouldnāt expect me to be more impressed by communism.
Gahā¦ I have to read Marx too now?
Iām rereading the beginning again, and he talks about (in my words, field and terminology) how complex distributed systems will, when changed, either enter a new āsteady stateā (āhomeostasisā in his terminology) or crash. This is because the system will respond to a major shift to it. Either by adapting to it or bringing it down. The adaption doesnāt have to be good however, which is something he also emphasizes. What surprised me about Twitter was how resilient a system can be to destructive forces. But that doesnāt mean it comes out in a better state. The new state can be what we in tech call a āGraceful degradationā, some things might be worse or down, but it isnāt all down. He also describes what might be this, as a state that is more vulnerable for future changes, fragile if you will.
Or in his terminology where the systems responses can be both negative and positive feedback, one counteracting the other amplifying (my brain went to waves and the mythbuster episodes) - purely tech and concrete my thoughts went to the Natanz centrifuges in Iran and Stuxnet.
But as for the amplification I thought of stories told by Audun Ytterdal on incident response at the Norwegian newspaper VG, and how they DDOSed themselves. (Which I think twitter also did a few months ago?)
https://youtu.be/gxfkw99k4Js?si=3-S-AcbGBdzu6oB_
https://youtu.be/gxfkw99k4Js?si=3-S-AcbGBdzu6oB_
Incidents and incident handling @ VG.no - Audun Ytterdal - NDC Security 2024
The point Iām getting to is that these systems are complex, they might not even be trivial to bring up again if they go down because they end up having cyclical dependencies, so some subsystems might not come up because another isnāt up yet (which is also waiting for the first). So we can have ācold bootā deadlocks.
Trying to āsimplifyā these systems to a model, draw conclusions and assert them with any confidence *about the real system*, is naive at best.
This behavior of complex distributed systems has led to a whole subfield in testing often referred to as Chaos Engineering. āLetās kill this thing and see what breaksā š
Lol, now I remembered the financial crisis mantra āToo Big To Failā šš
Ok, Iām still re-reading the beginning which is the part about Cybernetics and tbh it sounds like a kubernetes cluster š
What if we designed kubernetes in the 70s?
I digressed into the more āpoliticalā offshoot of cybernetics, clearly springing out inspiration from āProject Cybersynā and it seems intellectually thin so far. It seems to boil it all down to: āof course any modern socialism* would have to include technologyā
And tbh that is both extremely shallow and broadly uninteresting.
The rest seems to be a lot of ācapitalism is badā ranting whichā¦ yeah sure, but thatās not a thought, thatās more of a feeling.
*they mean communism, I think
So letās think about Project Cybersyn for a minute, based on the extremely thin material I have read so far. It is technically super interesting, but ethicallyā¦ it might need some discussion. To recap: they made an āInternetā based on telex machines, used that to gather metrics and fed that to a āpowerfulā machine to analyze, visualize, maybe run simple simulations and alert on values going out of range.
But what were they monitoring? It seems to have been a rollout around factories, but (for reasons that could easily be technical) the aggregation and visualization wasnāt local, it was central. So as opposed to the Toyota Way idea of visualization directly to the people doing the work, this was (intentionally or not) surveillance.
Later it was apparently used to run strikebreaking trucks.
Now for context, the strike was apparently a psyops by the CIA, but Iām sure the truck drivers didnāt know that.
My point is that the implementation wasnāt unproblematic and because it was interrupted before more experience could be gathered, it feels naive to think it wouldnāt end up being used for oppression.
And I donāt want to offend any Allende fans out there, but a socialist government turning into a dictatorship has several examples in Latin America, for example the Nicaraguan Sandinistas.
https://en.wikipedia.org/wiki/Sandinista_National_Liberation_Front
https://en.wikipedia.org/wiki/Sandinista_National_Liberation_Front
And this isnāt to say Contras werenāt bad, they were trying to bring back a ruthless dictatorship. Soā¦ the US backing them was very on-brand.
My point isā¦ stuff is complicated.
Which is probably the point of this whole thread tbh.
So apparently the statement āThe purpose of a system is what it does (POSIWID)ā is one of the most famous in Cybernetics.
https://en.wikipedia.org/wiki/The_purpose_of_a_system_is_what_it_does
And since I keep on returning to financial/political systems, thatās quite damning. The purpose of capitalism is to make the few immensely rich at the expense of the many? The purpose of communism is to create corrupt dictatorships (which to be fair ends up being the same purpose as capitalism)? Ouch.
I guess this is related to āNo true Scotsmanāā¦ https://en.wikipedia.org/wiki/No_true_Scotsman
Andrea Magnorsky š¹ š¦@roundcrisis @diana donāt think I haveā¦ but following now š
@Patricia I'm so glad to introduce you to each other @diana
Diana is writing a book called Learning Systems Thinking that touches on what you just mentioned Patricia
and, Diana: Patricia is an expert infosec and C++ programmer
I met both of you at conferences and I think if you two met you would have a lot to talk about