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.

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

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

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.

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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

All these always do the same thing.

Researchers reduced [the task] to producing a plausible corpus of text, and then published the not-so-shocking results that the thing that is good at generating plausible text did a good job generating plausible text.

From the OP , buried deep in the methodology :

Because GPT models cannot interpret images, questions including imaging analysis, such as those related to ultrasound, electrocardiography, x-ray, magnetic resonance, computed tomography, and positron emission tomography/computed tomography imaging, were excluded.

Yet here’s their conclusion :

The advancement from GPT-3.5 to GPT-4 marks a critical milestone in which LLMs achieved physician-level performance. These findings underscore the potential maturity of LLM technology, urging the medical community to explore its widespread applications.

It’s literally always the same. They reduce a task such that chatgpt can do it then report that it can do to in the headline, with the caveats buried way later in the text.

AI chatbots are the only possible answer: Loneliness and suicide mitigation for students using GPT3-enabled chatbots

Oops nevermind that paper is a complete fucking fraud.

The purpose of a system is what it does

According to the cybernetician, the purpose of a system is what it does. This is a basic dictum. It stands for bald fact, which makes a better starting point in seeking understanding than the familiar attributions of good intention, prejudices about expectations, moral judgment, or sheer ignorance of circumstances.

The AI is “supposed” to identify targets, but in reality, the system’s purpose is to justify indiscriminate murder.

Haha I was actually paraphrasing myself from last year, but I’ve seen that because lots of readers sent me that article when it came out a few months later, for obvious reasons!

I completely and totally agree with the article that the attention economy in its current manifestation is in crisis, but I’m much less sanguine about the outcomes. The problem with the theory presented here, to me, is that it’s missing a theory of power. The attention economy isn’t an accident, but the result of the inherently political nature of society. Humans, being social animals, gain power by convincing other people of things. From David Graeber (who I’m always quoting lol):

Politics, after all, is the art of persuasion; the political is that dimension of social life in which things really do become true if enough people believe them. The problem is that in order to play the game effectively, one can never acknowledge this: it may be true that, if I could convince everyone in the world that I was the King of France, I would in fact become the King of France; but it would never work if I were to admit that this was the only basis of my claim.

In other words, just because algorithmic social media becomes uninteresting doesn’t mean the death of the attention economy as such, because the attention economy is something innate to humanity, in some form. Today its algorithmic feeds, but 500 years ago it was royal ownership of printing presses.

I think we already see the beginnings of the next round. As an example, the YouTuber Veritsasium has been doing educational videos about science for over a decade, and he’s by and large good and reliable. Recently, he did a video about self-driving cars, sponsored by Waymo, which was full of (what I’ll charitably call) problematic claims that were clearly written by Waymo, as fellow YouTuber Tom Nicholas pointed out. Veritasium is a human that makes good videos. People follow him directly, bypassing algorithmic shenanigans, but Waymo was able to leverage their resources to get into that trusted, no-algorithm space. We live in a society that commodifies everything, and as human-made content becomes rarer, more people like Veritsaium will be presented with more and increasingly lucrative opportunities to sell bits and pieces of their authenticity for manufactured content (be it by AI or a marketing team), while new people that could be like Veritsaium will be drowned out by the heaps of bullshit clogging up the web.

This has an analogy in our physical world. As more and more of our physical world looks the same, as a result of the homogenizing forces of capital (office parks, suburbia, generic blocky bulidings, etc.), the fewer and fewer remaining parts that are special, like say Venice, become too valuable for their own survival. They become “touristy,” which is itself a sort of ironically homogenized commodified authenticity.

edit: oops I got Tom’s name wrong lol fixed

Vermont has several towns with as little as a thousand people that have fiber internet thanks to municipal cooperatives like ECFiber. Much of the state is a connectivity wasteland but it’s really cool to see some towns working together to sort it out.