I’m probably going to get shit for this here, but you have to meet people where they are. If elections are where they are, that’s where you have to go. The best way to get people to work with you will always be working with them first. That’s going to involve doing shit that you don’t want to do. In the same way that a good teacher in school is in a two-way relationship with students, effective organizers don’t organize at people, but build meaningful and mutual relationships with them. People will open up to you when they feel you’re open to them.

So my advice is to join the DSA work, do their elections, but take it upon yourself to keep up the organizational momentum once the election is over and work on something else. Yes, you’re going to have to canvas for some shitty democrat, but, if you knock enough doors, you’ll really learn the situation on the ground where you live, and you can roll that over, hopefully with a few friends. If your personal philosophy doesn’t let you compromise enough to go that route, so be it, but that’s what I’d do.

Jesus yeah that’s a great point re:Musk/Twitter. I’m not sure that it’s true as you wrote it quite yet, but I would definitely agree that it’s, at the very least, an excellent prediction. It might very well be functionally true already as a matter of political economy, but it hasn’t been tested yet by a sufficiently big movement or financial crisis or whatever.

+1 to everything that you said about organizing. It seems that we’re coming to the same realization that many 19th century socialists already had. There are no shortcuts to building power, and that includes going viral on Twitter.

I’ve told this story on the fediverse before, but I have this memory from occupy of when a large news network interviewed my friend, an economist, but only used a few seconds of that interview, but did air the entirety of an interview with a guy who was obviously unwell and probably homeless. Like you, it took me a while after occupy to really unpack in my head what had happened in general, and I often think on that moment as an important microcosm. Not only was it grossly exploitative, but it is actually good that the occupy camps welcomed and fed people like him. That is how our society ought to work. To have it used as a cudgel to delegitimize the entire camp was cynical beyond my comprehension at the time. To this day, I think about that moment to sorta tune the cynicism of the reaction, even to such a frankly ineffectual and disorganized threat as occupy. A meaningful challenge to power had better be ready for one hell of a reaction.

Same, and thanks! We’re probably a similar age. My own political awakening was occupy, and I got interested in theory as I participated in more and more protest movements that just sorta fizzled.

I 100% agree re:Twitter. I am so tired of people pointing out that it has lost 80% of its value or whatever. Once you have a few billion, there’s nothing that more money can do to your material circumstances. Don’t get me wrong, Musk is a dumbass, but, in this specific case, I actually think that he came out on top. That says more about what you can do with infinite money than anything about his tactical genius, because it doesn’t exactly take the biggest brain to decide that you should buy something that seems important.

I actually also reviewed that one, except my review of it was extremely favorable. I’m so glad that you read it and I’d welcome your thoughts on my very friendly amendment to his analysis if you end up reading that post.

Glad to hear it!

Totally agreed. I didn’t mean to say that it’s a failure if it doesn’t properly encapsulate all complexity, but that the inability to do so has implications for design. In this specific case (as in many cases), the error they’re making is that they don’t realize the root of the problem that they’re trying to solve lies in that tension.

The platform and environment are something you can shape even without an established or physical community.

Again, couldn’t agree more! The platform is actually extremely powerful and can easily change behavior in undesirable ways for users, which is actually the core thesis of that longer write up that I linked. That’s a big part of where ghosting comes from in the first place. My concern is that thinking you can just bolt a new thing onto the existing model is to repeat the original error.

This app fundamentally misunderstands the problem. Your friend sets you up on a date. Are you going to treat that person horribly. Of course not. Why? First and foremost, because you’re not a dick. Your date is a human being who, like you, is worthy and deserving of basic respect and decency. Second, because your mutual friendship holds you accountable. Relationships in communities have an overlapping structure that mutually impact each other. Accountability is an emergent property of that structure, not something that can be implemented by an app. When you meet people via an app, you strip both the humanity and the community, and with it goes the individual and community accountability.

I’ve written about this tension before: As we use computers more and more to mediate human relationships, we’ll increasingly find that being human and doing human things is actually too complicated to be legible to computers, which need everything spelled out in mathematically precise detail. Human relationships, like dating, are particularly complicated, so to make them legible to computers, you necessarily lose some of the humanity.

Companies that try to whack-a-mole patch the problems with that will find that their patches are going to suffer from the same problem: Their accountability structure is a flat shallow version of genuine human accountability, and will itself result in pathological behavior. The problem is recursive.

That would be a really fun project! It almost reads like the setup for a homework problem for a class on chaos and nonlinear dynamics. I bet that as the model increasingly takes into account other people’s (supposed?) preferences, you get qualitative breaks in behavior.

Stuff like this is why I come back to postmodernists like Baudrillard and Debord time and time again. These kinds of second- (or Nth-) order “news” are an artifact of the media’s constant and ever-accelerating commodification of reality. They just pile on more and more and more until we struggle to find reality through the sheer weight of its representations.

Really liked this articulation that someone shared with me recently:

here’s something you need to know about polls and the media: we pay for polls so we can can write stories about polls. We’re paying for a drumbeat to dance to. This isn’t to say polls are unscientific, or false, or misleading: they’re generally accurate, even if the content written around marginal noise tends to misrepresent them. It’s to remind you that when you’re reading about polls, you’re watching us hula hoop the ourobouros. Keep an eye out for poll guys boasting about their influence as much as their accuracy. That’s when you’ll know the rot has reached the root, not that there’s anything you can do about it.

Unfortunately, COP28 is taking it seriously, seen here with “both sides” reporting from the NYT.

Not directly to your question, but I dislike this NPR article very much.

Mwandjalulu dreamed of becoming a carpenter or electrician as a child. And now he’s fulfilling that dream. But that also makes him an exception to the rule. While Gen Z — often described as people born between 1997 and 2012 — is on track to become the most educated generation, fewer young folks are opting for traditionally hands-on jobs in the skilled trade and technical industries.

The entire article contains a buried classist assumption. Carpenters have just as much a reason to study theater, literature, or philosophy as, say, project managers at tech companies (those three examples are from PMs that I’ve worked with). Being educated and a carpenter are only in tension because of decisions that we’ve made, because having read Plato has as much in common with being a carpenter as it does with being a PM. Conversely, it would be fucking lit if our society had the most educated plumbers and carpenters in the world.

NPR here is treating school as job training, which is, in my opinion, the root problem. Job training is definitely a part of school, but school and society writ large have a much deeper relationship: An educated public is necessary for a functioning democracy. 1 in 5 Americans is illiterate. If we want a functioning democracy, then we need to invest in everyone’s education for its own sake, rather than treat it as a distinguishing feature between lower classes and upper ones, and we need to treat blue collar workers as people who also might wish to be intellectually fulfilled, rather than as a monolithic class of people who have some innate desire to work with their hands and avoid book learning (though those kinds of people need also be welcomed).

Occupations such as auto technician with aging workforces have the U.S. Chamber of Commerce warning of a “massive” shortage of skilled workers in 2023.

This is your regular reminder that the Chamber of Commerce is a private entity that represents capital. Everything that they say should be taken with a grain of salt. There’s a massive shortage of skilled workers for the rates that businesses are willing to pay, which has been stagnant for decades as corporate profits have gone up. If you open literally any business and offer candidates enough money, you’ll have a line out the door to apply.

This article is a mess. Brief summary of the argument:

• AI relies on our collective data, therefore it should be collectively owned.
• AI is going to transform our lives
• AI has meant a lot of things over the years. Today it mostly means LLMs.
• The problems with AI are actually problems with capitalism
• Socialist AI could be democratically accountable, compensate people from whom they use data, etc.
• Socialists have always held that technology should be liberatory, and we should view AI the same way
• Some ideas for how to govern AI

I think that this argument is sloppily made, but I’m going to read it generously for the purposes of this comment and focus on my single biggest disagreement: It misunderstands why LLMs are such a big deal under capitalism, because it misunderstands the interplay between technology and power. There is no such thing as a technological revolution. Revolutions happen within human institutions, and technologies change what is possible in the ongoing and continuous renegotiation of power within them. LLMs appear useful because we live under capitalism, and we think about technology within a capitalist framework. Their primary use case is to allow capitalists to exert more power over labor.

The author compares LLMs to machines in a factory, but machines produce things, and LLMs produce language. Most jobs involve producing language as a necessary byproduct of human collaboration. As a result, LLMs allow capitalists to discipline labor because they can “do” some enormous percentage of most jobs, if you think about human collaboration in the same way that you think about factories. The problem is that human language is not a modular widget that you can make with a machine. You can’t automate away the communication within human collaboration.

So, I think that author makes a dangerous category error when they compare LLMs to factory machines. That is how capitalists want us to think of LLMs because it allows them to wield them as a threat to push wages down. That is their primary use case. Once you remove the capitalist/labor power dynamic, then LLMs lose much of their appeal and become just another example of for profit companies mining public goods for private profit. They’re not a particularly special case, so I don’t think that it requires the special treatment in the way that the author lays out, but I agree that companies shouldn’t be allowed to do that.

I have a lot of other problems with this article, which can be found in my previous writing, if that interests you:

• The Anti-Labor Propaganda Masquerading as Science
• Why Is There an AI Hype?

Investment giant Goldman Sachs published a research paper

Goldman Sachs researchers also say that

It’s not a research paper; it’s a report. They’re not researchers; they’re analysts at a bank. This may seem like a nit-pick, but journalists need to (re-)learn to carefully distinguish between the thing that scientists do and corporate R&D, even though we sometimes use the word “research” for both. The AI hype in particular has been absolutely terrible for this. Companies have learned that putting out AI “research” that’s just them poking at their own product but dressed up in a science-lookin’ paper leads to an avalanche of free press from lazy credulous morons gorging themselves on the hype. I’ve written about this problem a lot. For example, in this post, which is about how Google wrote a so-called paper about how their LLM does compared to doctors, only for the press to uncritically repeat (and embellish on) the results all over the internet. Had anyone in the press actually fucking bothered to read the paper critically, they would’ve noticed that it’s actually junk science.

I would love to read an actually serious treatment of this issue and not 4 paragraphs that just say the headline but with more words.

I have been predicting for well over a year now that they will both die before the election, but after the primaries, such that we can’t change the ballots, and when Americans go to vote, we will vote between two dead guys. Everyone always asks “I wonder what happens then,” and while I’m sure that there’s a technical legal answer to that question, the real answer is that no one knows,

Very well could be. At this point, I’m so suspicious of all these reports. It feels like trying to figure out what’s happening inside a company while relying only on their ads and PR communications: The only thing that I do know for sure is that everyone involved wants more money and is full of shit.

US Leads World in Credulous Reports of ‘Lagging Behind’ Russia. The American military, its allies, and the various think-tanks it funds, either directly or indirectly, generate these reports to justify forever increasing the military budget.

I know that this kind of actually critical perspective isn’t point of this article, but software always reflects the ideology of the power structure in which it was built. I actually covered something very similar in my most recent post, where I applied Philip Agre’s analysis of the so-called Internet Revolution to the AI hype, but you can find many similar analyses all over STS literature, or throughout just Agre’s work, which really ought to be required reading for anyone in software.

Oh damn good to know. I do a lot of work with one of the UCs. We were happy to stop work during the grad student strike a few years ago and we’ll be happy to do it again. Thanks for posting!

I’ve now read several of these from wheresyoured.at, and I find them to be well-researched, well-written, very dramatic (if a little ranty), but ultimately stopping short of any structural or theoretical insight. It’s right and good to document the shady people inside these shady companies ruining things, but they are symptoms. They are people exploiting structural problems, not the root cause of our problems. The site’s perspective feels like that of someone who had a good career in tech that started before, say, 2014, and is angry at the people who are taking it too far, killing the party for everyone. I’m not saying that there’s anything inherently wrong with that perspective, but it’s certainly a very specific one, and one that I don’t particularly care for.

Even “the rot economy,” which seems to be their big theoretical underpinning, has this problem. It puts at its center the agency of bad actors in venture capital becoming overly-obsessed with growth. I agree with the discussion about the fallout from that, but it’s just lacking in a theory beyond “there are some shitty people being shitty.”