History is written by the winners, which is why #Luddite is a slur meaning "technophobe" and not a badge of honor meaning, "Person who goes beyond asking what technology does, to asking who it does it *for* and who it does it *to*."
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Luddites weren't anti-machine activists, they were pro-#worker advocates, who believed that the spoils of automation shouldn't automatically be allocated to the bosses who skimmed the profits from their #labor and spent them on machines that put them out of a job. 3/
There is no empirical right answer about who should benefit from automation, only social contestation, which includes all the things that desperate people whose access to food, shelter and comfort are threatened might do, such as smashing looms and torching factories. 4/
The question of who should benefit from automation is always urgent, and it's also always up for grabs. #Automation can deepen and reinforce unfair arrangements, or it can upend them. 5/
No one came off a mountain with two stone tablets reading "Thy machines shall condemn labor to the scrapheap of the history while capital amasses more wealth and power." We get to choose. 6/
Capital's greatest weapon in this battle is #inevitabilism, sometimes called #CapitalistRealism, summed up with #FredericJameson's famous quote "It’s easier to imagine the end of the world than the end of capitalism" (often misattributed to #Žižek). 7/
A simpler formulation can be found in the doctrine of #MargaretThatcher: "There Is No Alternative," or even #Dante's "#AbandonHope all ye who enter here." 8/
Hope - alternatives - lies in reviving our structural imagination, thinking through other ways of managing our collective future. Last May, @Wired published a brilliant article that did just that, by @divyasiddarth, @dsallentess and @glenweyl:
That article, "The Web3 Decentralization Debate Is Focused on the Wrong Question," set forth a taxonomy of decentralization, exploring ways that power could be distributed, checked, and shared. 10/
It went beyond blockchains and hyperspeculative, Ponzi-prone "#MechanismDesign," prompting me to subtitle my analysis "Not all who #decentralize are #bros":
That article was just one installment in a long, ongoing project by the authors. Now, Siddarth has teamed up with @saffronhuang to launch the @collect_intel project, "an incubator for new governance models for transformative technology."
The #CollectiveIntelligenceProject's research focus is "#CollectiveIntelligence capabilities: decision-making technologies, processes, and institutions that expand a group’s capacity to construct and cooperate towards shared goals." 13/
That is, asking more than how automation works, but who it should work *for*. 14/
Collective Intelligence institutions include "markets...nation-state democracy...global governance institutions and transnational corporations, standards-setting organizations and judicial courts, the decision structures of universities, startups, and nonprofits." 15/
All of these institutions let two or more people collaborate, which is to say, it lets us do *superhuman* things - things that transcend the limitations of the lone individual. 16/
Our institutions are failing us. Confidence in #democracy is in decline, and democratic states have failed to coordinate to solve urgent crises, like the #ClimateEmergency. 17/
Markets are also failing us, "flatten[ing] complex values in favor of over-optimizing for cost, profit, or share price." 18/
Neither traditional voting systems nor speculative markets are up to the task of steering our emerging, transformative technologies - neither machine learning, nor bioengineering, nor labor automation. 19/
Hence the mission of CIP: "Humans created our current CI systems to help achieve collective goals. We can remake them." 20/
The plan to do this is in two phases:
I. Value elicitation: "ways to develop scalable processes for surfacing and combining group beliefs, goals, values, and preferences." 21/
Think of tools like Pol.is, which #Taiwan uses to identify ideas that have the broadest consensus, not just the most active engagement. 22/
II. Remake technology institutions: "technology development beyond the existing options of non-profit, VC-funded startup, or academic project." 23/
Practically, that's developing tools and models for "decentralized governance and metagovernance, internet standards-setting," and consortia. 24/
This trilemma usually yields one of three unsatisfactory outcomes: 25/
I. #Capitalist#Acceleration: "Sacrificing safety for progress while maintaining basic participation." Think of private-sector #geoengineering, #CRISPR experimentation, or deployment of machine learning tools. AKA "bro shit." 26/
II. #Authoritarian#Technocracy: "Sacrificing participation for progress while maintaining basic safety." Think of the #VulnerableWorldHypothesis weirdos who advocate for universal, total surveillance to prevent "runaway AI," or, of course, the Chinese technocratic system. 27/
III. Shared #Stagnation: "Sacrificing progress for participation while maintaining basic safety." A drive for local control above transnational coordination, unwarranted skepticism of useful technologies (AKA "What the Luddites are unfairly accused of"). 28/
The Institute's goal is to chart a fourth path, which seeks out the best parts of all three outcomes, while leaving behind their flaws. 29/
This includes #DeliberativeDemocracy tools like #Sortition and #assemblies, backed by transparent machine learning tools that help surface broadly held views from within a community, not just the views held by the loudest participants. 30/
It's a view I find compelling, personally, enough so that I have joined the organization as a volunteer advisor. 32/
This vision resembles the watershed groups in @R_Emrys's spectacular "Half-Built Garden," which was one of the most inspiring novels I read last year (a far better source of #stfnal#inspo than the technocratic fantasies of the "Golden Age"):
And it revives the long-dormant, utterly necessary spirit of the Luddites, which you can learn a lot more about in @brianmerchant's forthcoming, magesterial "Blood In the Machine: The Origins of the Rebellion Against Big Tech":
The media spectacle of #GenerativeAI (in which AI companies' breathless claims of their software's sorcerous powers are endlessly repeated) has understandably alarmed many #CreativeWorkers, a group that's already traumatized by extractive abuse by media and tech companies. 1/
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Even though the claims about "#AI" are overblown and overhyped, creators are right to be alarmed. Their bosses would like nothing more than to fire them and replace them with pliable software. 3/