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Could China devastate the US without firing a shot?

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Regular readers will recall that for a long time I have been warning that the logical consequence of pursuing LLMs uber alles, to the exclusion of almost all other ideas, is that one winds up in a situation in which there is essentially zero technical moat. That in turn leads to price wars:

In large part, what I prophesied has come true; we now have many GPT-4 level models (more than I foresaw); GPT-5 was disappointing, and didn’t come in 2024; price wars; very little moat; no robust solution to hallucinations; a lot of corporate experimentation but not a ton of permanent inclusion in production. Modest profits was maybe a bit optimistic, with most LLM developers losing money.

Nonetheless, a very large fraction of our economy is going into the world of price wars and little moat, massive, massive investments into companies that are all basically following the same strategy of investing more and more money into one single idea, viz. scaling ever larger language models, in hopes that something magical will emerge.

Troublingly, the nation is now doubling down on these bets, still largely to the exclusion of developing other approaches, even as it has become clearer and clearer that problems of hallucinations and unreliability persist, and many are starting to report diminishing returns.

§

My own campaign against the single-minded narrowness of LLMs is not new (see e.g., the Scaling-uber-alles essay that launched this Substack in May 2022), but others are now speaking out, as VentureBeat just reported:

In a striking act of self-critique, one of the architects of the transformer technology that powers ChatGPT, Claude, and virtually every major AI system told an audience of industry leaders this week that artificial intelligence research has become dangerously narrow — and that he’s moving on from his own creation.

Llion Jones, who co-authored the seminal 2017 paper “Attention Is All You Need“ and even coined the name “transformer,” delivered an unusually candid assessment at the TED AI conference in San Francisco on Tuesday: Despite unprecedented investment and talent flooding into AI, the field has calcified around a single architectural approach, potentially blinding researchers to the next major breakthrough.

“Despite the fact that there’s never been so much interest and resources and money and talent, this has somehow caused the narrowing of the research that we’re doing,” Jones told the audience. The culprit, he argued, is the “immense amount of pressure” from investors demanding returns and researchers scrambling to stand out in an overcrowded field.

Yet investments in the same single approach grow every day.

§

Meanwhile we have entered an era, perhaps unprecedented, of extreme financial interdependence and circular investment:

Where might this all go? A reader just sent me this provocative analysis from Scott Galloway:


China has had it with America’s sclerotic trade policy. If I were advising Xi, I would say this: If you think of America as an adversary, understand that America has essentially become a giant bet on AI. If the Chinese can take down the valuations of the top 10 AI companies — if those 10 companies fall 50, 70, even 90% like they did in the dot-com era — that would put the U.S. in a recession and put Trump out of vogue.

How can they do that? Pretty easily. I think they’re going to flood the market with cheap, open-weight models that require less processing power but are 90% as good. The Chinese AI sector, acting under the direction and encouragement of the CCP, is about to Old Navy the U.S. economy: They’re going to mess with America’s big bet on AI and make it not pay off.

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Everyone in the industry probably remembers this moment:

Imagine if something like that, perhaps much worse, persisted, not for a day but indefinitely.1

§

For years, I have been warning that America has not sufficiently intellectually diversified its AI industry. Too much hype, accepted uncritically has led us to an extraordinarily vulnerable position.

The consequences of being all-in on a single, easily-replicated technology could well turn out to be severe — with or without pressure from China.

Gary Marcus has been warning about the consequences of the intellectual monoculture of generative AI for years. He fears what might happen next.

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1

On the bright side, if Generative AI really were magic, maybe running that magic on Chinese servers would still be a big win for civilization, even if it were bad news for America. More likely, to my mind, is that generative AI will become a mildly useful, widely used commodity that never makes much money for anyone other than chip companies.



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cjheinz
19 hours ago
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I, for one, welcome our new Chinese hegemons!
Lexington, KY; Naples, FL
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On em dashes and elipses

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I don't know who was the first to write The em dash is dead and AI killed it. Maybe it was Jacob Schilleci in the Reno Gazette Journal, but since most of it is behind a paywall and that paper is one of many run by Gannett, I'm not sure—though that's where the first link in this sentence goes. Credit where due. 

What I am sure about is that em dashes are part of my style, and I'm not going to stop using them.

While we're at it, there is also a "Boomer ellipsis" thing. Says here in the NY Post, "When typing a large paragraph, older adults might use what has been dubbed “Boomer ellipses” — multiple dots in a row also called suspension points — to separate ideas, unintentionally making messages more ominous or anxiety-inducing and irritating Gen Z." (I assume Brooke Kato, who wrote that sentence, is not an AI, despite using em dashes.) There is more along the same line from Upworthy and NDTV

I'm a Boomer, at least demographically, but I rarely use ellipses in my writing, no matter where one might go. But I do remember that the keyboard chord for producing an ellipsis on a Mac is option + semicolon, and the one for an em dash is shift-option-hyphen. The problem with the ellipsis one is that it's a single character (Unicode U+2026) rather than three periods in a row. So not using that Unicode thing might be the least leveraged pro tip you'll get today.

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cjheinz
19 hours ago
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I use ellipses to note where I have omitted text in a quotation.
Lexington, KY; Naples, FL
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Why Don't the Jedi Use ChatGPT?

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A bunch of us friends used to go out to movies together, back before Covid, kids, and streaming. The habit of the group was to watch the movie, then head out to a pub where we’d list all the flaws in the story, cinematography, acting, etc. I enjoyed the company, but didn’t participate much in the criticism sessions. The group’s philosophy seemed to be that flaws ruined the experience for them. For me, inconsistencies, incompleteness in storytelling etc. were opportunities. I would always enjoy the movie for what it intended to be before judging whether it actually got there; and then, for whatever shortcomings I saw, I’d make up reasons why, in that particular storytelling world, they weren’t flaws at all.

So, rather than criticizing the art, I’d repair it in my head as I went along. Unlike my friends, I was satisfied with every movie we went to. —Well, almost every one: some movies are insults to our intelligence that should only be watched when you’re either very drunk or very sick and high on benadryl.

The Star Wars universe is beloved by millions. I know very little about it because its lore is not limited to the films but has been fleshed out over the decades by countless novels. (Oddly enough, I remember reading the novelization of the first movie before it opened in our town. Not sure whether that’s true or just bad memory sequencing, but I experience the movie as the adaptation of a book, and not the other way around.) The Star Wars universe is a rich milieu of classic space-opera styling, and for many people it’s likely the only exposure they’ll have to the so-called ‘Golden Age’ of 1900s science fiction.

There were certainly stories about city- or country-wide computers before the 1950s (mostly cautionary tales), and Dick Tracy had his phone-watch. We take Star Trek’s communicators for granted nowadays, but the idea of portable phones was pretty radical in the 1960s; still, people had thought of them. In the 70’s Star Wars put us in a universe that deliberately lacked such tech—and for good, solid, story reasons.

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Retro-Futures as a Style

Image courtesy of Retrenders: https://retrenders.com/2016/10/13/make-coffee-with-star-wars-droid-r2-d2/#more-20074

Star Wars is appealing because it’s nostalgia. George Lucas was very clear about the influences for the universe he created, and they were Saturday-morning serials, B movies and epics such as Isaac Asimov’s Foundation series.

To criticize this kind of story for not including 21st Century technologies completely misses the point. These tales aren’t trying to keep up. They’re looking backwards fondly, and there’s a lot of fun to be gotten from going along with the ride.

This is what “suspension of disbelief” is all about.

There’s another option, though—two, really. The first is to have a super-high bar for your suspension of disbelief and consequently to nitpick your way through a movie. Well all do this to an extent, especially when the plot includes stuff that we know a lot about, whether that be local geography for a film set in our area, knowledge of physiology if we’re in the medical professions (“he could never have survived that!”), or politics or law. Fair enough.

The second option is to neither suspend disbelief, nor be critical. It’s to worldbuild your own solution to the gaps you see. If you’re interested in storytelling and worldbuilding, either as a writer or as an approach doing foresight, this is an exercise you should consider.

Spackle for Stories

Take the example of the Star Wars universe. If you don’t simply suspend disbelief and go along for the ride, then there’s a lot here that’s problematic. Despite the token alien, this seems to be a human-run galaxy; why is that? Sure, the Republic may be thousands of years old, so everything will look lived in, but on the other hand, they have a whole galaxy’s worth of raw materials at their disposal. There’s literally no scarcity, so even if we had a modern-style consumer society where you have to replace your phone every year for the newest, shiniest model, a galactic industrial base could easily keep up.

Then there’s that lack of phones, and the lack of infrastructural AI—droids have minds, so why not spacecraft, cities, and factories? Obviously this is to maintain the style and atmosphere of the story and to constrain things so that only certain kinds of stories can be told in this universe. But if we neither accept that, nor dismiss these questions as ‘mistakes’ then we have the opportunity to try to come up with explanations for them that make sense in the context of the world that’s been presented.

In a geeky sort of way, this is tremendous fun. For example, one troubling aspect of the Star Wars universe is that droids appear to be sentient, yet they are universally treated as completely disposable slaves. In a galactic civilization supposedly inclusive of a wild variety of alien species, why the exception for synthetic minds? On the face of it, Luke and Leia are both unrepentant slave-owners, which is disquieting.

My third option demands a designer’s approach to the dilemma. What conditions would make droids’ lack of rights make sense? If we take oppression off the table (because we want to consider Luke and Leia to be heroes, and the rebellion to be an attempt to free all the galaxy’s sentient beings, not just the organic ones) then we’re left with one elegant solution:

In the Star Wars universe, droids are not actually sentient. They are like ChatGPT: computers that are very good at imitating consciousness and personality, without actually having either. And, in this far away galaxy, everybody knows this.

There will be no droid Spartacus, because there is no actual suffering happening amongst the droid population. They really are just machines, so they have the same rights as a toaster no matter how much they may protest and act anxious. Luke and Leia are not slave owners. C3PO and R2D2 are no more conscious than a video game character.

Regarding the strange lack of infrastructural AI and analogues to ChatGPT—or even, the weird lack of smart phones in this highly technologically sophisticated society, working out an explanation is a little trickier. It’s also more rewarding, because when you get an answer to this question, it unlocks some amazing new ways to look at humanity’s cultural, scientific, and technological future.

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cjheinz
2 days ago
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Good post.
Lexington, KY; Naples, FL
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Amazon Web Services Had a Very Bad Day, Amazon's Stock Price Did Not

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Yesterday, Amazon Web Services, the cloud services backbone of the internet, had a serious glitch that took down a large chunk of the internet. How much did this outage cost? That’s not clear. But it was certainly a big number, with some estimates in the hundreds of billions of dollars.

Many people experienced the AWS outage in terms of time wasted, Zoom meetings not working, random services breaking, or apps hanging up or not launching. I had trouble dealing with Verizon, their customer service team took 15 minutes to respond to a chat query, and explained they were having “technical issues” on their end. The outage affected everyone from Netflix to Snapchat to Venmo to thousands of other vital products and services. Here’s the CEO of Eight Sleep, which makes internet-connected beds, apologizing for the outage and its affect on the sleep of its customers.

Leaving aside why beds need to be connected to the internet, let’s just stipulate that some sleep got messed up. And all of these costs were incurred because of dysfunction at AWS. We don’t have a name for the externalities induced by the market power here.

In 2022, Cory Doctorow described the cycle of decay of tech platforms, where they lock you in and then decrease overall quality. He deemed it “enshittification.” I think it’s worth offering a cousin to this term, which I’ll call “Corporate Sludge.” Corporate sludge is the cost, or costs, of an excessively monopolized and financialized economy, that do not show up on a balance sheet.

Here’s what I mean. According to Amazon’s internal financials, AWS has a high profit margin. In 2024 it had $107 billion in revenue, and generated $39.8 billion in profit, with is a 37% operating income. A normal product or service, when faced with a catastrophe like the AWS outage, would take a financial hit. Yet here’s the stock of Amazon yesterday.

Image

In other words, the costs of the AWS outage did not show up on the balance sheet directly responsible for it, or in the equity markets supposedly measuring long-term expectations of corporate profits. Economists would call the wasted time a “negative externality,” it’s the equivalent of pollution. And while that cost doesn’t show up anywhere we can affirmatively identify, someone has to pay for it. Those missed meetings, that lost production, it raises costs for virtually everyone, a little. This cost is what economists or government statisticians just don’t see, because it isn’t measured. But that doesn’t mean it’s not real.

Once you start looking, you start realizing that corporate sludge is everywhere. I did an interview with corporate procurement specialist Rich Ham, and he told me that big corporations laid off most of their procurement teams as a cost-cutting measure during the financial crisis. Since Wall Street penalizes CEOs for hiring people, and rewards them for firing, they won’t spend to rebuild those teams. As a result, suppliers of things like uniforms, waste disposal, guards, and pest control massively gouge the corporate world. According to Ham, corporate procurement costs are going up 7% a year. And those increased costs, that corporate sludge, is passed along as higher prices, even as accounting profits aren’t improving. Executives think they are being efficient - headcount is down - but then they wonder why everything costs so much.

I suspect, though it goes unmeasured, that a lot of the increase in inflation that no one can quite explain is a result of corporate sludge. It’s a bit like ‘dark matter,’ a fudge factor astronomers created to describe why their theories of the properties of matter can’t explain the expansion of the universe. Similarly, I don’t believe economists have a good explanation for inflationary increases of the last few years. They certainly understand that supply chains broke, but they can’t describe why prices didn’t go back down once they were repaired. And I don’t think anyone can really explain why the economy seems to be booming, while ordinary people are unhappy. My fudge factor to explain it is corporate sludge - there’s massive inefficiency everywhere as a result of hidden market power that doesn’t show up on balance sheets, but shows up as time wasted, anxiety, and extra costs where you don’t expect it.

Health Care Sludge

I’ve been thinking about the concept of corporate sludge for about a year, after the debate over health insurance in the U.S. prompted by Luigi Mangione’s alleged killing of a health care CEO. At the time, there was a lot of back-and-forth about popular anger at insurers. Economic commentator Noah Smith wrote a piece that bothered me a lot, explaining why we were focused on the wrong bad guy. Here’s the headline:

He explained that American anger is misplaced. Insurance companies, he wrote, are generally efficient pass-throughs that got the blame for covering for greedy doctors. What was Smith’s evidence? Well, it was a balance sheet analysis. While UnitedHealth Group’s revenue is on the order of $400 billion, he explained, the company had a thin profit margin of just 6.11%. It’s actually efficiently run, not greedy. What kind of a villain or monopolist passes most of its revenue on to someone else? It’s a rational argument from Smith, and yet, not persuasive. People hate United Health Group, because we know that analyzing accounting profits excludes the real costs of its behavior.

The experience of health care is full of corporate sludge, from having to dispute weird bills to being steered to medication that may or may not be correct, to doctors spending their time fighting with bureaucrats over reimbursements and audits. In February 2024, UnitedHealth Group’s Change subsidiary got hacked, and it shut down cash flow to doctors, pharmacists, and hospitals, in some cases for months. Like the AWS outage, that didn’t affect UHG’s profit. But it certainly had a cost.

In other words, to look only at accounting profits is to miss the genuine costs of monopoly or financialization, which is the corporate sludge embedded in an economic system where the actual stakeholders who must use the system, patients and clinicians in the case of health care, have little power. And it’s not just UHG. In our current model of tight-fisted financiers choosing how to allocate health resources, somehow U.S. hospitals spend twice as much on administrative costs as they do on direct patient care. Yet that doesn’t show up anywhere as accounting profit; hospitals are constantly explaining how strapped they are for cash.

Administrative and Direct Patient Care Expenditures at U.S. Hospitals

Yet, this money is going somewhere. I noted this dynamic a few weeks ago when I profiled a monopoly in unnecessary hospital surveys, which is the result of a merger between survey companies Qualtrics and Press Ganey, as well as a regulatory mandate by the Affordable Care Act. Ryan Smith, the billionaire owner of the Utah Jazz, founded Qualtrics, so one way to understand corporate sludge is that it’s shifting unnoticeable amounts of money from each of us to people who in turn buy sports teams. There are innumerable economic termites in health care, like billing codes that the American Medical Association has a copyright on, or electronic record keeping systems, or HIPAA-compliant note-taking software. And then there are also just big unnecessary billing departments fighting with other big unnecessary billing departments.

Noah Smith would look at the profit margin of hospitals, insurers, distributors, PBMs, et al and ask, “where’s the problem?” What he’d find is that nearly everything in health care has low margins or can be made to seen that way. So just by that analysis, Smith would see nothing but an efficiently run health care system. Yet the U.S. spends three times as much as every other country on its system, gets worse results, and generates a lot of health care millionaires who are good at pricing arbitrage.

The Keys Aren’t Near the Lamp Post

In other words, one of the more important reasons to look at corporate sludge as a meaningful challenge in the business world is that it helps expose something economists don’t measure, which is private inefficiency. A firm with market power can harvest that market power as accounting profits, or as additional administrative bloat or a higher cost supply chain. While economically these are similar, in terms of accounting and rhetoric, they are not.

For instance, one of the arguments that price gouging didn’t matter in food inflation during Covid was that grocery stores have thin operating margins. If there’s so much gouging, where’s all that extra profit? As I noted before, cutting a corporate procurement staff means a supermarket chain pays more for waste disposal or uniforms, but a profit margin analysis would miss that the price of milk is higher because a vendor is screwing the grocery chain.

Moreover, looking purely at the margins of a Kroger or Walmart misses how these companies organize an entire supply chain, and incentivize the sale of more expensive food in general. For instance, most large grocers make a fair amount of money through “slotting fees,” where branded food companies pay for display space for their wares, which is a form of price discrimination. Slotting fee contracts, or “trade spend,” make it very hard for smaller companies that sell cheap, fresh food to get into supermarkets, because they can’t afford to get on the shelf. It’s the ultra-processed food that permeates.

Since the government stopped enforcing laws against price discrimination in the 1980s, the food industry learned “how to sell larger quantities of low-nutrient processed foods merely by manipulating their placement.” One consequence is that “rates of obesity in the United States doubled,” but another is that cheap regionally produced food producers disappeared, because they couldn’t get onto the shelf. So prices across the supply chain went up.

If you just look at the operating margins of the big grocers, you’d miss the transformation of our food industry from a low cost locally based high quality distribution system to a high cost globalized low quality one. You can argue all you want about economies of scale in food processing, but it’s just absurd to believe that the overhead of a major corporation like Kraft makes it more efficient than a local food producer. I mean, it’s been a few years since Covid, and the supply chains have cleared, yet prices didn’t come back down. No one can explain why. The answer is corporate sludge, hidden inefficiencies that are a result of market power.

Electric Sludge

Another example full of sludge comes in the details of the operations of investor-owned electric utilities, which are increasing prices dramatically and blaming it on the build-out of data centers. While data center growth is meaningful, utility prices in a lot of places were increasing before the massive AI investment, and states without data center growth are also seeing much higher prices. Moreover, there is an odd discontinuity in price increases, with some utilities hiking costs and others keeping them lower. What explains the difference? In America, most of our utilities are investor-owned, but some are owned by cities or are structured as cooperatives. Mark Ellis, a utility analyst, sent me this graphic of the change in electricity pricing for investor-owned vs publicly-owned utilities.

Publicly owned utility rates have increased faster than investor-owned ones in only a few states.

What’s going on here? Well, investor-owned utilities get regulators to let them raise prices based on a supposed need to send high profits to Wall Street, whereas publicly owned ones don’t. But the costs are much higher than what we see go to investors. Just looking at some of the public filings of utilities shows there’s also a lot of bloat. For instance, while the publicly owned utilities have a few lawyers on staff, private utilities of significant size seem to employ the equivalent of an internal mid-size law firm, paying dozens of lawyers up to a million dollars apiece for legal, regulatory, and lobbying work. This kind of gold-plating is no doubt happening down the line, from replacing poles when it’s unnecessary to do so, to bringing on unnecessary well-paid administrative staff to promote silly diversity initiatives.

All of these costs are real, and must be paid.

Now, getting back to AWS, most people, when looking at the situation, observed that too much of the internet is based on a few chokepoints. Fast Company had an article titled The AWS outage reveals the web’s massive centralization problem, European leaders expressed alarm on their dependency on U.S. big tech giants, and a giant Reddit thread - AWS Services are down, This Is Why Monopolies Should Be Banned - drew thousands of comments. (Ironically the thread itself went down for a period because of the outage.)

But none of these people said the problem with AWS is that it has a high profit margin. And no one focused on market share, or whether customers can in some theoretical world switch to another cloud provider. That’s because normal people can see what’s going on, even if economists can’t. Corporate sludge is everywhere.


Thanks for reading! Your tips make this newsletter what it is, so please send me tips on weird monopolies, stories I’ve missed, or other thoughts. And if you liked this issue of BIG, you can sign up here for more issues, a newsletter on how to restore fair commerce, innovation, and democracy. Consider becoming a paying subscriber to support this work, or if you are a paying subscriber, giving a gift subscription to a friend, colleague, or family member. If you really liked it, read my book, Goliath: The 100-Year War Between Monopoly Power and Democracy.

cheers,

Matt Stoller

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cjheinz
6 days ago
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Great post.
Lexington, KY; Naples, FL
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Hitler, Stalin, Freud, Trotsky, and Franz Joseph all lived within a radius...

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Hitler, Stalin, Freud, Trotsky, and Franz Joseph all lived within a radius of a few km in Vienna in 1913-14. “Stalin could have, with real probability, walked past a homeless Hitler trying to sell his mediocre watercolor paintings on the street…”

💬 Join the discussion on kottke.org

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cjheinz
7 days ago
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wow.
Lexington, KY; Naples, FL
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Return of the PDA

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Two questions for you:

  • Ever have a sleepless night spent going over and over the same thoughts, in an endless worry cycle? (Psychologists call this rumination.)

  • Ever notice how ChatGPT really wants to keep you talking?

Current AIs like ChatGPT, Claude, and Grok want to keep you engaged, because engagement is the measure (literally) of their success. From all the hype, you wouldn’t think that only about 2% of Americans regularly get their news from such systems. Adults generally don’t trust AI enough to turn to it for news, due to factors such as its tendency to hallucinate, and the fact that these systems are giant, centralized Ministries of Truth that are privately owned—i.e., at someone else’s beck and call.

Companies like Anthropic make their money by capturing and keeping attention—just like social media—but not by encouraging angry arguments. They do the opposite: they weaponize your own opinions by amplifying your ruminations and reflecting them at you. They agree with you, sometimes subtly, but always in one way or another. Sure, there are guardrails to prevent AIs from doing things like enabling crime or suicide, and they can be extremely useful if you know how to avoid this tendency—but when was the last time an AI told you it just didn’t agree with something you said?

Current AI is a rumination machine.

The echo-chamber effect, this automated sycophancy, is dangerous. What we need is AI built on a different principle than encouraging engagement. Read on for an example.

Imagining Alternatives

A while back, in a post called After The Internet, I talked about how inevitable-seeming technologies could have developed in very different ways. Even the Internet could have been entirely different than what we have today; in fact, it was, back in the early 90’s. Over the past 30 years the Net has undergone what my pal Cory calls a process of enshittification—otherwise known as platform decay. Basically, it’s gone from being an open platform for free expression, to being a “self-sucking lollipop.” Hence, Dead Internet Theory and my own stories about a Net entirely consisting of man-in-the-middle bots deepfaking everything you see and hear, including the bank account manager you think you’re chatting with on Zoom.

With this downward spiral as an existence proof, it’s no surprise people are wary of AI. There is no reason whatsoever that AI platforms will not become enshittified just as the Internet was. But—as with the Net—this process is neither inevitable nor irreversible. For those of us in an unapocalyptic mood, it’s an opportunity to design something better.

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Where would we start? Well, we could do worse than go with what we already have: the ability to run Large Language Models on our own PCs. I have a decent gaming rig with about 48 Gig of RAM, and it does an okay job of hosting a local instance of Deepseek. The hardware is constantly improving; NVIDIA will now sell you a tiny supercomputer for $4000 that is capable of running even large models at speed.

Let’s start with the hardware, then. Back before the iPhone, we had something called a Personal Digital Assistant, or PDA; I remember Cory being glued to his Apple Newton back in our writing workshop days.

Image courtesy of By Rama & Musée Bolo - Own work, CC BY-SA 2.0 fr, https://commons.wikimedia.org/w/index.php?curid=36959621

The idea of the PDA was not to connect you to the whole world through a universal distance-eliminating portal; it was not to give you the “view from nowhere” that I’ve been ranting about lately. Rather, it was a device for organizing your information, privately, for you. So, your calendar, your contacts, your private notes. We have all of these capabilities on our phones, of course, but they’ve been pushed into the background by all the apps that are there simply to vie for our attention. And this foregrounding/backgrounding issue highlights what we have to keep in mind:

Organization is different from engagement.

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cjheinz
11 days ago
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I think this is the best thing Karl has written in a while.
Lexington, KY; Naples, FL
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