Hot take: prices are great for moving goods to where they're most useful. Problems arise when you use the same currency to decide how to split limited resources between different industries, and also to decide who gets food. In the abstract, prices are just ways of weighting different priorities. They're numbers where a bigger number means 'I want this a lot' and a smaller number means 'I want this a little'.
If you're talking about 'mass data informed' systems, you probably mean supervised machine learning algorithms. This is a huge research field and much progress has already been made. If you're interested in learning about the theory, AI: A Modern Approach, 3rd edition, is a good textbook for people with a STEM background (you can torrent it pretty easily). I don't know what materials are more accessible for non-nerds.
There's also plenty of programming courses online. A friend of mine (who was two years into a Computer Science BSc at the time) tried the Udemy course and she found it to be good. Depending on how much (if any) programming background you have, this might or might not be a good fit.
Blockchain is a red herring. Blockchain is effectively a massively distributed, unfalsifiable, ledger. It's good for storing data that is meant to be a) accessible and b) free from tampering. It doesn't help with economic planning systems, or at best it would be a tertiary component for communicating between systems (and even then I'm struggling to see a use case).
If you want I can try to write up a brief low-tech summary of how machine learning works, and the problems with applying it to an entire economy?
Ill rephrase (note to not get into any kind of academic semantics) why havent the field of economic planning percievably done anything since Brezhnev, given the astronomical developments in information technology, and what is, can and should be done
why havent the field of economic planning percievably done anything since Brezhnev
why would the capitalist destroy itself? Also internally in firms there has been a lot of improvement in planning. Amazon and Walmart are planned internally, those are massive economies of their own
Those don't have the resources needed for a large-scale planning project, and China has been part of the global market since the 70's. Wtf is Grenada gonna do? There hasn't been an appetite for this since the USSR fell
why did you even comment? shit tier defeatism. there are tech-nerds in capitalist west trying to construct such systems as we speak, but if you dont know about it just keep quiet and learn
Hot take: prices are great for moving goods to where they're most useful. Problems arise when you use the same currency to decide how to split limited resources between different industries, and also to decide who gets food. In the abstract, prices are just ways of weighting different priorities. They're numbers where a bigger number means 'I want this a lot' and a smaller number means 'I want this a little'.
If you're talking about 'mass data informed' systems, you probably mean supervised machine learning algorithms. This is a huge research field and much progress has already been made. If you're interested in learning about the theory, AI: A Modern Approach, 3rd edition, is a good textbook for people with a STEM background (you can torrent it pretty easily). I don't know what materials are more accessible for non-nerds.
There's also plenty of programming courses online. A friend of mine (who was two years into a Computer Science BSc at the time) tried the Udemy course and she found it to be good. Depending on how much (if any) programming background you have, this might or might not be a good fit.
Blockchain is a red herring. Blockchain is effectively a massively distributed, unfalsifiable, ledger. It's good for storing data that is meant to be a) accessible and b) free from tampering. It doesn't help with economic planning systems, or at best it would be a tertiary component for communicating between systems (and even then I'm struggling to see a use case).
If you want I can try to write up a brief low-tech summary of how machine learning works, and the problems with applying it to an entire economy?
Ill rephrase (note to not get into any kind of academic semantics) why havent the field of economic planning percievably done anything since Brezhnev, given the astronomical developments in information technology, and what is, can and should be done
why would the capitalist destroy itself? Also internally in firms there has been a lot of improvement in planning. Amazon and Walmart are planned internally, those are massive economies of their own
are you trying to say that since the late 70s only capitalists have been capable of thinking?
serious socialist projects include:
zapatistas cuba nicaragua venezuela grenada cyprus angola mozambique kurdistan kerala west bengal nepal myanmar laos vietnam china dprk
all of them should have been spending efforts into using this explosion of technology to furthern socialist planning. What has been going on?
Those don't have the resources needed for a large-scale planning project, and China has been part of the global market since the 70's. Wtf is Grenada gonna do? There hasn't been an appetite for this since the USSR fell
why did you even comment? shit tier defeatism. there are tech-nerds in capitalist west trying to construct such systems as we speak, but if you dont know about it just keep quiet and learn
piss off
? are you emotionally damaged or wtf is this shit