There are a number of very subtle insights contained, in particular there's a tension between the "cybernetic" model he proposes, and sensitive dependence on initial conditions (Lorenz etc.) which as far as I know has yet to be resolved.
Yeah, I don’t think Land is a great recommendation.
The CCRU produced a lot of talented philosopher/writer/artists but Land definitely went a bit far out there and never came back.
The connection between what the CCRU did and Wiener-style cybernetics is also a little strained. I don’t think a layperson would be all that interested in the former if they were looking for more of the latter.
I personally think Land is worth reading (critically), but to say he cooked his brain with methamphetamines is a vast understatement. I agree that there's not much to learn from him on cybernetics specifically: he's sort of "post-cyber" (in the same sense as post-Marxist), musing on the philosophical implications of cyber-positive feedback loops (including but not limited to Capital/AI), before veering off into explicitly anti-human negentropy-maxing (accelerationism). Whether shrugging off potential human extinction is more or less vile than his far-right political turn and extremely naked racism, you can decide for yourself.
For similar ideas on cyber-positivity without the insanity, I'd recommend Michael Downs' "Capital vs Timenergy" (soon to be republished as "Capital vs Subjectivity"), and Poliks & Trillo's "Expocapitalism" [0].
> I personally think Land is worth reading (critically)
I agree, perhaps... I think I got something out of slogging my way through Fanged Noumena (although I did throw in the towel near the end--there's an essay written entirely LiKe ThIs and I just bounced off of it, DNF).
If we are talking about accelerationism(s) instead of cybernetics, I much preferred Gruppo Di Nun's Revolutionary Demonology. It's at least written in a human register.
I think commentators here are missing what is really exciting about this. Back in the 70s it was impossible to calculate all the labour inputs to product, so socialist economies had to refer to capitalist economy pricing. This doomed Cybersyn and any other attempt to use the LTV to work backwards.
Yes, if you can fully track labor input, you can use LTV (Labor Theory of Value) to determine how much work went into a product and price it accordingly - that's what the poster above was referring to.
> The labor theory of value (LTV) posits that the economic value of a good or service is determined by the socially necessary labor time required to produce it under prevailing conditions
We can't make a claim either way without empiric evidence.
We do, however, have plenty of empiric evidence for how the current pricing mechanism works and based on that I figure it might be time to try something new?
This project is funny because the outcome was so inevitable:
1. Every large corporation in the world has tried a similar "Let's get a bunch of statisticians to quantify our business and we'll manage the company by looking at the graphs" experiment at least once, and it always explodes in a combination of manipulated metrics and Goodharts's Law
2. Every centrally-planned economy in the world that makes plans based on data from individual factories has been massively impacted by a combination of falsified metrics and Goodharts's Law
But because it was destroyed in a CIA-backed revolution, we don't actually know how it would have turned out, so modern Communists can convince themselves that it would have ushered in Utopia!
Back when I read "Cybernetic Revolutionaries" I followed it up with "People's Republic of Walmart" and came away with a bit of a different conclusion to your point 1. IMO lots of US-based hyperscalars are managing what are effectively command economies, and it's allowed them to ex. scale their infrastructure so aggressively these last ~2 years.
Right. WalMart and Amazon are closer to command economies than Gosplan ever was. They're not choking on the scale of what they do; they're thriving on it. Gosplan, the USSR's central planning system, ran on monthly reporting and annual plans. WalMart at one point ran on daily reporting and weekly plans. It's probably even faster now.
The problem of getting accurate data started to be solved when bar codes and RFID tags came in. It's possible for a factory to fake "we made 431 washing machines today." It's hard to fake "we made 431 washing machines today, their serial numbers were scanned as they left the factory, scanned again as they arrived at the various distribution centers, and scanned again when they were shipped to a customer, and scanned again when the customer received them." It's not airtight, but faking it requires a sizable fakery operation which tends to be detected eventually. Much real world activity is driven by all that "where's my stuff" data, and if the data is way off, people notice.
For large classes of products and services today, there is no real price competition. There just aren't enough players to make a market. The magic number seems to be four, from an EU study. Less than four major players in direct competition, and prices don't go down.
FMCGs work very much like command economies, including specialized tooling to shift production between customers when orders fall through.
Unlike USSR they simply do it on shorter timescales, too, and with better customer feedback. Something Cybersyn actually targeted, as it's closer to Toyota Production System (as much done at lowest level in small decision loops) than centrally managed GOSPLAN or large american FMCG giants
Yeah, the economy is basically a bunch of oligarchical/dictatorial command economies, or what we like to call companies. It's funny, a lot of leftist people use them as examples of how a larger command economy could work (usually the reaction a lot of leftists I know had to People's Republic of Walmart), whereas it makes me wonder what more democratic, free market companies would be like.
> it makes me wonder what more democratic, free market companies would be like.
I was wondering the same after PRW lol. Recently I had the chance to ask a friend of mine who worked in Google Infra (years ago) if they had ever tried to 'liberalize' their infrastructure planning; something like having internal business units bid on space, power, and compute instead of distributing it top-down. He said that yes, this was actually something like their original operating model, and the outcome was that YouTube basically bought up every piece of hardware in the company and then leased them out to other verticals at a profit.
That's pretty interesting. I always found the idea of democratizing a company pretty easy to understand (can easily just mirror civilian governmental structure in some sense), but creating an internal free market system harder to wrap my head around so pretty cool to see an example of it.
I imagine it might look something like a company-internal gig economy; someone puts out a request for a code review and a bunch of fellow employees bid on doing the job, and the requester provides a tip for good service at the end, etc.
> whereas it makes me wonder what more democratic, free market companies would be like.
There are a few small examples that come to mind (co-ops and communes mostly), but I can’t think of any that have been successful at scale. Running an internal market would be almost pure overhead, so if it worked it would really have to be efficient to be worthwhile.
I understand that line of thinking and honestly think it's possible you're correct. On the other hand, this is exactly historical rhetoric that was used against republicanism/democracy, with people saying the only successful examples were city states and that it was impossible to scale. Maybe we just need a corporate "America" that figures out the correct governing structure. If anything I think it's possible it might only be possible with extremely large firms while small firms stay autocratic to stay dynamic.
Well, at the extreme end of free market, Sears CEO Eddie Lampert drew from Objectivism and had his company's divisions internally compete with one another:
I'd honestly recommend checking out the People's Republic of Walmart; it's a super short read and anything I say would be basically a warmed up rehash of whatever I remember from it.
Basic point is just that operations research/supply chain management was heavily developed by the USSR to support the central economy and now it's used by every major retailer (among others) to manage supply chains that are massively larger than anything the USSR ever got close to.
So, seems like the logical way to run a business would be to create a bunch of internal metrics but never let any of your reportees know what they are.
Or even better, "leak" that there might be metrics (that are in reality false), and then see who allocates resources towards maximizing them. Favor allocating resources to those who hit your internal metrics, favor de-allocating resources towards those that hit your "honeypot" metrics.
This all kind of depends on having direct reportees who have a great degree of latitude in how they spend their resources I suppose.
There are a number of very subtle insights contained, in particular there's a tension between the "cybernetic" model he proposes, and sensitive dependence on initial conditions (Lorenz etc.) which as far as I know has yet to be resolved.
The CCRU produced a lot of talented philosopher/writer/artists but Land definitely went a bit far out there and never came back.
The connection between what the CCRU did and Wiener-style cybernetics is also a little strained. I don’t think a layperson would be all that interested in the former if they were looking for more of the latter.
For similar ideas on cyber-positivity without the insanity, I'd recommend Michael Downs' "Capital vs Timenergy" (soon to be republished as "Capital vs Subjectivity"), and Poliks & Trillo's "Expocapitalism" [0].
[0] https://becoming.press/exocapitalism
I agree, perhaps... I think I got something out of slogging my way through Fanged Noumena (although I did throw in the towel near the end--there's an essay written entirely LiKe ThIs and I just bounced off of it, DNF).
If we are talking about accelerationism(s) instead of cybernetics, I much preferred Gruppo Di Nun's Revolutionary Demonology. It's at least written in a human register.
It's on my shelf! Haven't gotten to it yet, looking forward to it. Also interested to read Reza Negarestani's "Intelligence & Spirit"
It's on my shelf, next to Cyclonopedia! Regrettably, I haven't made the time to read either. There aren't enough hours in the day.
That problem is now solved.
https://en.wikipedia.org/wiki/Labor_theory_of_value
> The labor theory of value (LTV) posits that the economic value of a good or service is determined by the socially necessary labor time required to produce it under prevailing conditions
If theres no empiric evidence, how can you claim that you can simply use LTV to price market inputs?
We do, however, have plenty of empiric evidence for how the current pricing mechanism works and based on that I figure it might be time to try something new?
obligatory https://bactra.org/reviews/wolfram/
1. Every large corporation in the world has tried a similar "Let's get a bunch of statisticians to quantify our business and we'll manage the company by looking at the graphs" experiment at least once, and it always explodes in a combination of manipulated metrics and Goodharts's Law
2. Every centrally-planned economy in the world that makes plans based on data from individual factories has been massively impacted by a combination of falsified metrics and Goodharts's Law
But because it was destroyed in a CIA-backed revolution, we don't actually know how it would have turned out, so modern Communists can convince themselves that it would have ushered in Utopia!
The problem of getting accurate data started to be solved when bar codes and RFID tags came in. It's possible for a factory to fake "we made 431 washing machines today." It's hard to fake "we made 431 washing machines today, their serial numbers were scanned as they left the factory, scanned again as they arrived at the various distribution centers, and scanned again when they were shipped to a customer, and scanned again when the customer received them." It's not airtight, but faking it requires a sizable fakery operation which tends to be detected eventually. Much real world activity is driven by all that "where's my stuff" data, and if the data is way off, people notice.
For large classes of products and services today, there is no real price competition. There just aren't enough players to make a market. The magic number seems to be four, from an EU study. Less than four major players in direct competition, and prices don't go down.
Unlike USSR they simply do it on shorter timescales, too, and with better customer feedback. Something Cybersyn actually targeted, as it's closer to Toyota Production System (as much done at lowest level in small decision loops) than centrally managed GOSPLAN or large american FMCG giants
I was wondering the same after PRW lol. Recently I had the chance to ask a friend of mine who worked in Google Infra (years ago) if they had ever tried to 'liberalize' their infrastructure planning; something like having internal business units bid on space, power, and compute instead of distributing it top-down. He said that yes, this was actually something like their original operating model, and the outcome was that YouTube basically bought up every piece of hardware in the company and then leased them out to other verticals at a profit.
There are a few small examples that come to mind (co-ops and communes mostly), but I can’t think of any that have been successful at scale. Running an internal market would be almost pure overhead, so if it worked it would really have to be efficient to be worthwhile.
https://www.forbes.com/sites/stevedenning/2013/07/16/do-inte...
https://www.versobooks.com/blogs/news/4385-failing-to-plan-h...
Basic point is just that operations research/supply chain management was heavily developed by the USSR to support the central economy and now it's used by every major retailer (among others) to manage supply chains that are massively larger than anything the USSR ever got close to.
How many times has that actually happened in real life (opens history book) (oh-no.gif)...
Or even better, "leak" that there might be metrics (that are in reality false), and then see who allocates resources towards maximizing them. Favor allocating resources to those who hit your internal metrics, favor de-allocating resources towards those that hit your "honeypot" metrics.
This all kind of depends on having direct reportees who have a great degree of latitude in how they spend their resources I suppose.