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.

This is a frustrating piece. Anyone with even a passing knowledge of history knows that you can’t just report on what fascist movements say then fact check it (which is what WaPo is doing here). JD Vance doesn’t give a single shit about workers, and the facts don’t matter. It’s about aesthetics. The American fascist movement, like all such movements, is interested in appropriating the very real grievances of workers into a spectacle that serves power rather than challenges it. Walter Benjamin calls this the aestheticization of politics.

Fascism attempts to organize the newly proletarianized masses without affecting the property structure which the masses strive to eliminate. Fascism sees its salvation in giving these masses not their right, but instead a chance to express themselves. The masses have a right to change property relations; Fascism seeks to give them an expression while preserving property. The logical result of Fascism is the introduction of aesthetics into political life.

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.

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.

edit to add some recommendations: If you think of yourself as a tech person, and don’t necessarily get or enjoy the humanities (for lack of a better word), I recommend starting here, where Agre discusses his own “critical awakening.”

As an AI practitioner already well immersed in the literature, I had incorporated the field’s taste for technical formalization so thoroughly into my own cognitive style that I literally could not read the literatures of nontechnical fields at anything beyond a popular level. The problem was not exactly that I could not understand the vocabulary, but that I insisted on trying to read everything as a narration of the workings of a mechanism. By that time much philosophy and psychology had adopted intellectual styles similar to that of AI, and so it was possible to read much that was congenial – except that it reproduced the same technical schemata as the AI literature. I believe that this problem was not simply my own – that it is characteristic of AI in general (and, no doubt, other technical fields as well). T

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.”

I’ve already posted this here, but it’s just perennially relevant: The Anti-Labor Propaganda Masquerading as Science.

“The workplace isn’t for politics” says company that exerts coercive political power to expel its (ex-)workers for disagreeing.