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.

Journalists actually have very weird and, I would argue, self-serving standards about linking. Let me copy paste from an email that I got from a journalist when I emailed them about relying on my work but not actually citing it:

I didn’t link directly to your article because I wasn’t able to back up some of the claims made independently, which is pretty standard journalistic practice

In my opinion, this is a clever way to legitimize passing off research as your own, which is definitely what they did, up to and including repeating some very minor errors that I made.

I feel similarly about journalistic ethics for not paying sources. That’s a great way to make sure that all your sources are think tank funded people who are paid to have opinions that align with their funding, which is exactly what happens. I understand that paying people would introduce challenges, but that’s a normal challenge that the rest of us have to deal with every fucking time we hire someone. Journalists love to act like people coming forth claiming that they can do X or tell them about Y is some unique problem that they face, when in reality it’s just what every single hiring process exists to sort out.

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.

Sounds very doable! My friend has an old claw foot tub that he lights a fire under. If you want something a little less country, you can buy on demand electric or propane water heaters and hook your hose up, though I’d expect the electric one wouldn’t be able to keep up at 120v. Hardest part of this project is probably moving the tub. I say go for it!

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,

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.

Glad you enjoyed!

I’m feeling better and better about my “pornetariat” theory.

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

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Your comment perfectly encapsulates one of the central contradictions in modern journalism. You explain the style guide, and the need to communicate information in a consistent way, but then explain that the style guide is itself guided by business interests, not by some search for truth, clarity, or meaning.

I’ve been a long time reader of FAIR.org and i highly recommend them to anyone in this thread who can tell that something is up with journalism but has never done a dive into what exactly it is. Modern journalism has a very clear ideology (in the sorta zizek sense, not claiming that the journalists do it nefariously). Once you learn to see it, it’s everywhere