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It's been more than a year since I gave up on Google Search (I switched to Kagi.com and never looked back). I don't miss it. It had gotten terrible. It's gotten worse since, thanks to AI (of course):
Google's a very bad company, of course. I mean, the company has lost three federal antitrust trials in the past 18 months. But that's not why I quit Google Search: I stopped searching with Google because Google Search suuuucked.
In the spring of 2024, it was clear that Google had lost the spam wars. Its search results were full of spammy garbage content whose creators' SEO was a million times better than their content. Every kind of Google Search result was bad, and results that contained the names of products were the worst, an endless cesspit of affiliate link-strewn puffery and scam sites.
It's not that the internet lacks for high-quality, reliable reviews. There are plenty of experts out there who subject a wide range of products to careful assessment, laboratory tests, and extensive comparisons. The sites where these reviews appear are instantly recognizable, and it's a great relief to find them.
One such site is Housefresh.com, whose proprietor, Giselle Navarro, runs a team that produces extremely detailed, objective, high-quality reviews of air purifiers. This is an important product category: if you're someone with bad allergies or an immunocompromising condition, finding the right air purifier can exert enormous influence on your health outcomes.
As good as Housefresh are at reviewing air purifiers, they are far less skilled at tricking Google. The world champions of this are spammers, content farms that produce garbage summaries of Amazon reviews and shovel them into massive, hidden sections of once-reputable websites like Forbes.com and Better Homes and Gardens, and thus dominate the Google results for product review searches:
Google calls this "site reputation abuse" and has repeatedly vowed to put a stop to it, and has repeatedly, totally failed to do so. What's more, Google has laid off more than 10,000 workers, including "core teams," even while spending tens of billions of dollars on stock manipulation through "buyback" schemes:
Of course, the Housefresh team are smart cookies – hence the high caliber of their air purifier reviews – and they could apply that intelligence to figuring out how to use SEO to trick Google's algorithm. Rather than doing so, they took the high road: they applied all that prodigious analytical talent to researching and publishing on Google's systematic failures – and even collusion – with the spammers who are destroying the web.
This month, Housefresh released its latest report on Google's enshittification, this time with an emphasis on the "AI Overviews" that now surmount every search results page. Google has widely touted these as the future of search, a way to bypass the ad-strewn, popup-obscured, AI-sloppified (!) pages that it is seemingly powerless to filter out of its search corpus:
Rather than hunting through these SEO-winning garbage pages, you can simply refer to Google's AI Overview, which will summarize the best the internet has to offer, in hyperlegibile black sans-serif type on a white background, with key phrases helpfully highlighted in bold.
Most critiques of AI Overview have focused on how these AI Overviews are a betrayal of the underlying bargain between the web and its monopoly search engine, whereby we all write the web and let Google index it for free, and in exchange, Google will send us traffic in proportion to the quality of our work:
This is true, as far as it goes, but it doesn't go far enough. Google is a platform, which is to say, a two-sided marketplace that brings together readers and publishers (along with advertisers). The bargain with publishers is that Google will send them traffic in exchange for access to their content. But the deal with readers is that Google will help them answer their questions quickly and accurately.
If Google's marketing pitch for AI Overviews is to be believed, then Google is only shafting publishers in order to double down on its bargain with readers: to give us faster, better access to high-quality information (recall Google's mission statement, "To organize the world's information and make it useful"). If that's true, then Google is the champion of readers in their long battle with publishers, a battle in which they are nearly helpless before publishers' abusive excesses.
This is a very canny move on Google's part. Publishers and advertisers have more concentrated money than readers, but the dominant theory of antitrust since the Reagan administration is something called "consumer welfare," which holds that monopolistic conduct is only to be condemned if it makes consumers worse off. If a company screws its workers or suppliers in order to deliver better products and/or better prices, then "consumer welfare" holds that the government should celebrate and protect the monopolist for improving "efficiency."
But all that is true only if Google AI Overviews are good. And they are very, very bad.
In the Housefresh report, titled "Beware of the Google AI salesman and its cronies," Navarro documents how Google's AI Overview is wildly bad at surfacing high-quality information. Indeed, Google's Gemini chatbot seems to prefer the lowest-quality sources of information on the web, and to actively suppress negative information about products, even when that negative information comes from its favorite information source.
Indeed, Navarro identifies a kind of madlibs template that Gemini uses to assemble an AI overview in response to the query "Is the [name of air purifier] worth it?"
The [model] air purifier is [a worthwhile investment/generally considered a good value for its price/a worthwhile purchase]. It's [praised/well-regarded] for its ability to [clean the air/remove particles/clean large rooms]. Whether the [product] is worth it depends on individual needs and priorities.
This is the shape of the response that Google's AI Overview shits out when you ask about any air purifier, including a model that Wirecutter called "the worst air purifier ever tested":
What's more, AI Overview will produce a response like this one even when you ask it about air purifiers that don't exist, like the "Levoit Core 5510," the "Winnix Airmega" and the "Coy Mega 700."
It gets worse, though. Even when you ask Google "What are the cons of [model of air purifier]?" AI Overview simply ignores them. If you persist, AI Overview will give you a result couched in sleazy sales patter, like "While it excels at removing viruses and bacteria, it is not as effective with dust, pet hair, pollen or other common allergens." Sometimes, AI Overview "hallucinates" imaginary cons that don't appear on the pages it cites, like warnings about the dangers of UV lights in purifiers that don't actually have UV lights.
Google argues that AI Overview won't displace traffic to the sites it summarizes. The company points to the fact that the statements in an AI Overview are each linked to the web-page they come from. This is a dubious proposition, predicated on the idea that people looking up a quick answer on a search engine will go on to follow all the footnotes and compare them to the results (this is something that peer reviewers for major scientific journals often fail at, after all).
But the existence of these citations allowed Navarro to compile statistics about the sources that Google relies on most heavily for information about product quality:
43.1% of these statements come from product manufacturers' marketing materials;
19.5% of these statements are sourced from pages that contain no information about the product.
Much of the remainder comes from the same "site reputation abuse" that Google said it would stop prioritizing two years ago. An alarming amount of this material is also AI generated: this is the "coprophagic AI" problem in which an AI ingests another AI's output, producing ever-more nonsensical results:
Adding "reddit" to a Google query is a well-known and still-useful way to get higher quality results out of Google. Redditors is full of real people giving their real opinions about products and services. No wonder that Reddit appears in 97.5% of product review queries:
https://detailed.com/forum-serps/
Obviously, the same SEO scumbags who have been running circles around Google for years are perfecctly capable of colonizing and compromising Reddit, which has been rocked by a series of payola scandals in which the volunteer moderators of huge, reputable subreddit were caught taking bribes to allow SEO scumbags to spam their forums and steal their valor:
When it comes to product reviews, Google's AI Overviews consist of irrelevancies, PR nonsense, and affiliate spammer hype – all at the expense of genuine, high-quality information, which is still out there, on the web, waiting for you to find it.
Google CEO Sundar Pichai is unapologetic about the way that AI Overviews blurs the line between commercial pitches and neutral information, telling Bloomberg, "commercial information is information, too":
Which raises the question: why is Pichai so eager to enshittify his own service? After all, AI isn't a revenue center for Google – it's a cost center. Every day, Google's AI division takes a blowtorch to the company's balance sheet, incinerating mountains of money while bringing in nothing (less than nothing, if you count all the users who are finding ways to de-Google their lives to escape the endless AI slop):
It's true that AI loses money for Google, but AI earns something far more important (at least from Pichai's perspective): a story about how Google can continue to grow.
Google's current price-to-earnings (PE) ratio is 20:1. That means that for every dollar Google brings in, investors are willing to spend $20 on Google's stock. This is a very high PE ratio, characteristic of "growth stocks" (companies that are growing every year). A high PE ratio tells you that investors anticipate that the company will get (much) bigger in the foreseeable future, and they are "pricing in" that future growth when they trade the company's shares.
Companies with high PE ratios can use their stock in place of money – for example, they can acquire other companies with stock, or with a mix of cash and stock. This lets high PE companies outbid mature companies – companies whose growth phase has ended – because stock is endogeous (it is produced within the company, by typing zeroes into a spreadsheet) and therefore abundant, while dollars are exogenous (produced by the central bank – again, by typing zeroes into a spreadsheet! – and then traded to the company by its customers) and thus scarce.
Google's status as a growth stock has allowed it to buy its way to dominance. After all, Google has repeatedly, continuously failed to create new products in-house, relying on acquisitions of other people's companies for its mobile technology, ad-tech, server management, maps, document collaboration…virtually every successful product the company has (except Search).
For so long as investors believe Google is growing, it can buy other companies with its abundant stock rather than its scarce dollars. It can also use that stock to hire key personnel, which especially important for AI teams, where compensation has blasted through the stratosphere:
But that just brings us back to the original question: why build an AI division at all?
Because Google needs to keep up the story that it is growing. Once Google stops growing, it becames a "mature" company and its PE ratio will fall from 20:1 to something more like 4:1, meaning an 80% collapse in the company's share price. This would be very bad news for Googlers (whose personal wealth is disproportionately tied up in Google stock) and for Google itself (because many of its key personnel will depart when the shares they've banked for retirement collapse, and new hires will expect to be paid in scarce dollars, not abundant stock). For a company like Google, "maturity" is unlikely to be a steady state – rather, it's likely to be a prelude to collapse.
Which is why Google is so desperately sweaty to maintain the narrative about its growth. That's a difficult narrative to maintain, though. Google has 90% Search market-share, and nothing short of raising a billion humans to maturity and training them to be Google users (AKA "Google Classroom") will produce any growth in its Search market-share. Google is so desperate to juice its search revenue that it actually made search worse on purpose so that you would have to run multiple searches (and see multiple rounds of ads) before you got the information you were seeking:
Investors have metabolized the story that AI will be a gigantic growth area, and so all the tech giants are in a battle to prove to investors that they will dominate AI as they dominated their own niches. You aren't the target for AI, investors are: if they can be convinced that Google's 90% Search market share will soon be joined by a 90% AI market share, they will continue to treat this decidedly tired and run-down company like a prize racehorse at the starting-gate.
This is why you are so often tricked into using AI, by accidentally grazing a part of your screen with a fingertip, summoning up a pestersome chatbot that requires six taps and ten seconds to banish: companies like Google have made their product teams' bonuses contingent on getting normies to "use" AI and "use" is defined as "interact with AI for at least ten seconds." Goodhart's Law ("any metric becomes a target") has turned every product you use into a trap for the unwary:
There's a cringe army of AI bros who are seemingly convinced that AI is going to become superintelligent and save us from ourselves – they think that AI companies are creating god. But the hundreds of billions being pumped into AI are not driven by this bizarre ideology. Rather, they are the product of material conditions, a system that sends high-flying companies into a nosedive the instant they stop climbing. AI's merits and demerits are irrelevant to this: they pump AI because they must pump. It's why they pumped metaverse and cryptocurrency and every other absurd fad.
None of that changes the fact that Google Search has been terminally enshittified and it is misleading billions of people in service to this perverse narrative adventure. Google Search isn't fit for purpose, and it's hard to see how it ever will be again.
If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
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Then there is the growing use of generative A.I. to scale the creation of cheap synthetic videos for children on YouTube. Some example outputs are Lovecraftian horrors, like music videos about parrots where the birds have eyes within eyes, beaks within beaks, morphing unfathomably while singing in an artificial voice “The parrot in the tree says hello, hello!” The narratives make no sense, characters appear and disappear randomly, basic facts like the names of shapes are wrong. After I identified a number of such suspicious channels on my newsletter, The Intrinsic Perspective, Wired found evidence of generative A.I. use in the production pipelines of some accounts with hundreds of thousands or even millions of subscribers.
Google is (still) losing the spam wars to zombie news-brands
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Even Google admits – grudgingly – that it is losing the spam wars. The explosive proliferation of botshit has supercharged the sleazy "search engine optimization" business, such that results to common queries are 50% Google ads to spam sites, and 50% links to spam sites that tricked Google into a high rank (without paying for an ad):
It's nice that Google has finally stopped gaslighting the rest of us with claims that its search was still the same bedrock utility that so many of us relied upon as a key piece of internet infrastructure. This not only feels wildly wrong, it is empirically, provably false:
Not only that, but we know why Google search sucks. Memos released as part of the DOJ's antitrust case against Google reveal that the company deliberately chose to worsen search quality to increase the number of queries you'd have to make (and the number of ads you'd have to see) to find a decent result:
Google's antitrust case turns on the idea that the company bought its way to dominance, spending the some of the billions it extracted from advertisers and publishers to buy the default position on every platform, so that no one ever tried another search engine, which meant that no one would invest in another search engine, either.
Google's tacit defense is that its monopoly billions only incidentally fund these kind of anticompetitive deals. Mostly, Google says, it uses its billions to build the greatest search engine, ad platform, mobile OS, etc that the public could dream of. Only a company as big as Google (says Google) can afford to fund the R&D and security to keep its platform useful for the rest of us.
That's the "monopolistic bargain" – let the monopolist become a dictator, and they will be a benevolent dictator. Shriven of "wasteful competition," the monopolist can split their profits with the public by funding public goods and the public interest.
Google has clearly reneged on that bargain. A company experiencing the dramatic security failures and declining quality should be pouring everything it has to righting the ship. Instead, Google repeatedly blew tens of billions of dollars on stock buybacks while doing mass layoffs:
(Google's antitrust trial was shrouded in secrecy, thanks to the judge's deference to the company's insistence on confidentiality. The case is moving along though, and warrants your continued attention:)
Back in February, Housefresh – a rigorous review site for home air purifiers – published a viral, damning account of how Google had allowed itself to be overrun by spammers who purport to provide reviews of air purifiers, but who do little to no testing and often employ AI chatbots to write automated garbage:
https://housefresh.com/david-vs-digital-goliaths/
In the months since, Housefresh's Gisele Navarro has continued to fight for the survival of her high-quality air purifier review site, and has received many tips from insiders at the spam-farms and Google, all of which she recounts in a followup essay:
One of the worst offenders in spam wars is Dotdash Meredith, a content-farm that "publishes" multiple websites that recycle parts of each others' content in order to climb to the top search slots for lucrative product review spots, which can be monetized via affiliate links.
A Dotdash Meredith insider told Navarro that the company uses a tactic called "keyword swarming" to push high-quality independent sites off the top of Google and replace them with its own garbage reviews. When Dotdash Meredith finds an independent site that occupies the top results for a lucrative Google result, they "swarm a smaller site’s foothold on one or two articles by essentially publishing 10 articles [on the topic] and beefing up [Dotdash Meredith sites’] authority."
Dotdash Meredith has keyword swarmed a large number of topics. from air purifiers to slow cookers to posture correctors for back-pain:
The company isn't shy about this. Its own shareholder communications boast about it. What's more, it has competition.
Take Forbes, an actual news-site, which has a whole shadow-empire of web-pages reviewing products for puppies, dogs, kittens and cats, all of which link to high affiliate-fee-generating pet insurance products. These reviews are not good, but they are treasured by Google's algorithm, which views them as a part of Forbes's legitimate news-publishing operation and lets them draft on Forbes's authority.
This side-hustle for Forbes comes at a cost for the rest of us, though. The reviewers who actually put in the hard work to figure out which pet products are worth your money (and which ones are bad, defective or dangerous) are crowded off the front page of Google and eventually disappear, leaving behind nothing but semi-automated SEO garbage from Forbes:
There's a name for this: "site reputation abuse." That's when a site perverts its current – or past – practice of publishing high-quality materials to trick Google into giving the site a high ranking. Think of how Deadspin's private equity grifter owners turned it into a site full of casino affiliate spam:
The same thing happened to the venerable Money magazine:
https://moneygroup.pr/
Money is one of the many sites whose air purifier reviews Google gives preference to, despite the fact that they do no testing. According to Google, Money is also a reliable source of information on reprogramming your garage-door opener, buying a paint-sprayer, etc:
https://money.com/best-paint-sprayer/
All of this is made ten million times worse by AI, which can spray out superficially plausible botshit in superhuman quantities, letting spammers produce thousands of variations on their shitty reviews, flooding the zone with bullshit in classic Steve Bannon style:
As Gizmodo, Sports Illustrated and USA Today have learned the hard way, AI can't write factual news pieces. But it can pump out bullshit written for the express purpose of drafting on the good work human journalists have done and tricking Google – the search engine 90% of us rely on – into upranking bullshit at the expense of high-quality information.
A variety of AI service bureaux have popped up to provide AI botshit as a service to news brands. While Navarro doesn't say so, I'm willing to bet that for news bosses, outsourcing your botshit scams to a third party is considered an excellent way of avoiding your journalists' wrath. The biggest botshit-as-a-service company is ASR Group (which also uses the alias Advon Commerce).
Advon claims that its botshit is, in fact, written by humans. But Advon's employees' Linkedin profiles tell a different story, boasting of their mastery of AI tools in the industrial-scale production of botshit:
Now, none of this is particularly sophisticated. It doesn't take much discernment to spot when a site is engaged in "site reputation abuse." Presumably, the 12,000 googlers the company fired last year could have been employed to check the top review keyword results manually every couple of days and permaban any site caught cheating this way.
Instead, Google is has announced a change in policy: starting May 5, the company will downrank any site caught engaged in site reputation abuse. However, the company takes a very narrow view of site reputation abuse, limiting punishments to sites that employ third parties to generate or uprank their botshit. Companies that produce their botshit in-house are seemingly not covered by this policy.
As Navarro writes, some sites – like Forbes – have prepared for May 5 by blocking their botshit sections from Google's crawler. This can't be their permanent strategy, though – either they'll have to kill the section or bring it in-house to comply with Google's rules. Bringing things in house isn't that hard: US News and World Report is advertising for an SEO editor who will publish 70-80 posts per month, doubtless each one a masterpiece of high-quality, carefully researched material of great value to Google's users:
As Navarro points out, Google is palpably reluctant to target the largest, best-funded spammers. Its March 2024 update kicked many garbage AI sites out of the index – but only small bottom-feeders, not large, once-respected publications that have been colonized by private equity spam-farmers.
All of this comes at a price, and it's only incidentally paid by legitimate sites like Housefresh. The real price is borne by all of us, who are funneled by the 90%-market-share search engine into "review" sites that push low quality, high-price products. Housefresh's top budget air purifier costs $79. That's hundreds of dollars cheaper than the "budget" pick at other sites, who largely perform no original research.
Google search has a problem. AI botshit is dominating Google's search results, and it's not just in product reviews. Searches for infrastructure code samples are dominated by botshit code generated by Pulumi AI, whose chatbot hallucinates nonexistence AWS features:
This is hugely consequential: when these "hallucinations" slip through into production code, they create huge vulnerabilities for widespread malicious exploitation:
We've put all our eggs in Google's basket, and Google's dropped the basket – but it doesn't matter because they can spend $20b/year bribing Apple to make sure no one ever tries a rival search engine on Ios or Safari:
Google's response – laying off core developers, outsourcing to low-waged territories with weak labor protections and spending billions on stock buybacks – presents a picture of a company that is too big to care:
Google promised us a quid-pro-quo: let them be the single, authoritative portal ("organize the world’s information and make it universally accessible and useful"), and they will earn that spot by being the best search there is:
But – like the spammers at the top of its search result pages – Google didn't earn its spot at the center of our digital lives.
It cheated.
If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
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A key requirement for being a science fiction writer without losing your mind is the ability to distinguish between science fiction (futuristic thought experiments) and predictions. SF writers who lack this trait come to fancy themselves fortune-tellers who SEE! THE! FUTURE!
The thing is, sf writers cheat. We palm cards in order to set up pulp adventure stories that let us indulge our thought experiments. These palmed cards – say, faster-than-light drives or time-machines – are narrative devices, not scientifically grounded proposals.
Historically, the fact that some people – both writers and readers – couldn't tell the difference wasn't all that important, because people who fell prey to the sf-as-prophecy delusion didn't have the power to re-orient our society around their mistaken beliefs. But with the rise and rise of sf-obsessed tech billionaires who keep trying to invent the torment nexus, sf writers are starting to be more vocal about distinguishing between our made-up funny stories and predictions (AKA "cyberpunk is a warning, not a suggestion"):
In that spirit, I'd like to point to how one of sf's most frequently palmed cards has become a commonplace of the AI crowd. That sleight of hand is: "add enough compute and the computer will wake up." This is a shopworn cliche of sf, the idea that once a computer matches the human brain for "complexity" or "power" (or some other simple-seeming but profoundly nebulous metric), the computer will become conscious. Think of "Mike" in Heinlein's *The Moon Is a Harsh Mistress":
For people inflating the current AI hype bubble, this idea that making the AI "more powerful" will correct its defects is key. Whenever an AI "hallucinates" in a way that seems to disqualify it from the high-value applications that justify the torrent of investment in the field, boosters say, "Sure, the AI isn't good enough…yet. But once we shovel an order of magnitude more training data into the hopper, we'll solve that, because (as everyone knows) making the computer 'more powerful' solves the AI problem":
As the lawyers say, this "cites facts not in evidence." But let's stipulate that it's true for a moment. If all we need to make the AI better is more training data, is that something we can count on? Consider the problem of "botshit," Andre Spicer and co's very useful coinage describing "inaccurate or fabricated content" shat out at scale by AIs:
"Botshit" was coined last December, but the internet is already drowning in it. Desperate people, confronted with an economy modeled on a high-speed game of musical chairs in which the opportunities for a decent livelihood grow ever scarcer, are being scammed into generating mountains of botshit in the hopes of securing the elusive "passive income":
Botshit can be produced at a scale and velocity that beggars the imagination. Consider that Amazon has had to cap the number of self-published "books" an author can submit to a mere three books per day:
As the web becomes an anaerobic lagoon for botshit, the quantum of human-generated "content" in any internet core sample is dwindling to homeopathic levels. Even sources considered to be nominally high-quality, from Cnet articles to legal briefs, are contaminated with botshit:
Ironically, AI companies are setting themselves up for this problem. Google and Microsoft's full-court press for "AI powered search" imagines a future for the web in which search-engines stop returning links to web-pages, and instead summarize their content. The question is, why the fuck would anyone write the web if the only "person" who can find what they write is an AI's crawler, which ingests the writing for its own training, but has no interest in steering readers to see what you've written? If AI search ever becomes a thing, the open web will become an AI CAFO and search crawlers will increasingly end up imbibing the contents of its manure lagoon.
This problem has been a long time coming. Just over a year ago, Jathan Sadowski coined the term "Habsburg AI" to describe a model trained on the output of another model:
There's a certain intuitive case for this being a bad idea, akin to feeding cows a slurry made of the diseased brains of other cows:
https://www.cdc.gov/prions/bse/index.html
But "The Curse of Recursion: Training on Generated Data Makes Models Forget," a recent paper, goes beyond the ick factor of AI that is fed on botshit and delves into the mathematical consequences of AI coprophagia:
https://arxiv.org/abs/2305.17493
Co-author Ross Anderson summarizes the finding neatly: "using model-generated content in training causes irreversible defects":
Which is all to say: even if you accept the mystical proposition that more training data "solves" the AI problems that constitute total unsuitability for high-value applications that justify the trillions in valuation analysts are touting, that training data is going to be ever-more elusive.
What's more, while the proposition that "more training data will linearly improve the quality of AI predictions" is a mere article of faith, "training an AI on the output of another AI makes it exponentially worse" is a matter of fact.
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If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
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I'm in TARTU, ESTONIA! AI, copyright and creative workers' labor rights (TOMORROW, May 10, 8AM: Science Fiction Research Association talk, Institute of Foreign Languages and Cultures building, Lossi 3, lobby). A talk for hackers on seizing the means of computation (TOMORROW, May 10, 3PM, University of Tartu Delta Centre, Narva 18, room 1037).
Fun fact: "The Tragedy Of the Commons" is a hoax created by the white nationalist Garrett Hardin to justify stealing land from colonized people and moving it from collective ownership, "rescuing" it from the inevitable tragedy by putting it in the hands of a private owner, who will care for it properly, thanks to "rational self-interest":
Get that? If control over a key resource is diffused among the people who rely on it, then (Garrett claims) those people will all behave like selfish assholes, overusing and undermaintaining the commons. It's only when we let someone own that commons and charge rent for its use that (Hardin says) we will get sound management.
By that logic, Google should be the internet's most competent and reliable manager. After all, the company used its access to the capital markets to buy control over the internet, spending billions every year to make sure that you never try a search-engine other than its own, thus guaranteeing it a 90% market share:
Google seems to think it's got the problem of deciding what we see on the internet licked. Otherwise, why would the company flush $80b down the toilet with a giant stock-buyback, and then do multiple waves of mass layoffs, from last year's 12,000 person bloodbath to this year's deep cuts to the company's "core teams"?
The entire internet is shaped by Google's decisions about what shows up on that first page of listings. When Google decided to prioritize shopping site results over informative discussions and other possible matches, the entire internet shifted its focus to producing affiliate-link-strewn "reviews" that would show up on Google's front door:
This was catnip to the kind of sociopath who a) owns a hedge-fund and b) hates journalists for being pain-in-the-ass, stick-in-the-mud sticklers for "truth" and "facts" and other impediments to the care and maintenance of a functional reality-distortion field. These dickheads started buying up beloved news sites and converting them to spam-farms, filled with garbage "reviews" and other Google-pleasing, affiliate-fee-generating nonsense.
(These news-sites were vulnerable to acquisition in large part thanks to Google, whose dominance of ad-tech lets it cream 51 cents off every ad dollar and whose mobile OS monopoly lets it steal 30 cents off every in-app subscriber dollar):
Now, the spam on these sites didn't write itself. Much to the chagrin of the tech/finance bros who bought up Sports Illustrated and other venerable news sites, they still needed to pay actual human writers to produce plausible word-salads. This was a waste of money that could be better spent on reverse-engineering Google's ranking algorithm and getting pride-of-place on search results pages:
https://housefresh.com/david-vs-digital-goliaths/
That's where AI comes in. Spicy autocomplete absolutely can't replace journalists. The planet-destroying, next-word-guessing programs from Openai and its competitors are incorrigible liars that require so much "supervision" that they cost more than they save in a newsroom:
But while a chatbot can't produce truthful and informative articles, it can produce bullshit – at unimaginable scale. Chatbots are the workers that hedge-fund wreckers dream of: tireless, uncomplaining, compliant and obedient producers of nonsense on demand.
That's why the capital class is so insatiably horny for chatbots. Chatbots aren't going to write Hollywood movies, but studio bosses hyperventilated at the prospect of a "writer" that would accept your brilliant idea and diligently turned it into a movie. You prompt an LLM in exactly the same way a studio exec gives writers notes. The difference is that the LLM won't roll its eyes and make sarcastic remarks about your brainwaves like "ET, but starring a dog, with a love plot in the second act and a big car-chase at the end":
Similarly, chatbots are a dream come true for a hedge fundie who ends up running a beloved news site, only to have to fight with their own writers to get the profitable nonsense produced at a scale and velocity that will guarantee a high Google ranking and millions in "passive income" from affiliate links.
One of the premier profitable nonsense companies is Advon, which helped usher in an era in which sites from Forbes to Money to USA Today create semi-secret "review" sites that are stuffed full of badly researched top-ten lists for products from air purifiers to cat beds:
Advon swears that it only uses living humans to produce nonsense, and not AI. This isn't just wildly implausible, it's also belied by easily uncovered evidence, like its own employees' Linkedin profiles, which boast of using AI to create "content":
It's not true. Advon uses AI to produce its nonsense, at scale. In an excellent, deeply reported piece for Futurism, Maggie Harrison Dupré brings proof that Advon replaced its miserable human nonsense-writers with tireless chatbots:
https://futurism.com/advon-ai-content
Dupré describes how Advon's ability to create botshit at scale contributed to the enshittification of clients from Yoga Journal to the LA Times, "Us Weekly" to the Miami Herald.
All of this is very timely, because this is the week that Google finally bestirred itself to commence downranking publishers who engage in "site reputation abuse" – creating these SEO-stuffed fake reviews with the help of third parties like Advon:
(Google's policy only forbids site reputation abuse with the help of third parties; if these publishers take their nonsense production in-house, Google may allow them to continue to dominate its search listings):
There's a reason so many people believed Hardin's racist "Tragedy of the Commons" hoax. We have an intuitive understanding that commons are fragile. All it takes is one monster to start shitting in the well where the rest of us get our drinking water and we're all poisoned.
The financial markets love these monsters. Mark Zuckerberg's key insight was that he could make billions by assembling vast dossiers of compromising, sensitive personal information on half the world's population without their consent, but only if he kept his costs down by failing to safeguard that data and the systems for exploiting it. He's like a guy who figures out that if he accumulates enough oily rags, he can extract so much low-grade oil from them that he can grow rich, but only if he doesn't waste money on fire-suppression:
Now Zuckerberg and the wealthy, powerful monsters who seized control over our commons are getting a comeuppance. The weak countermeasures they created to maintain the minimum levels of quality to keep their platforms as viable, going concerns are being overwhelmed by AI. This was a totally foreseeable outcome: the history of the internet is a story of bad actors who upended the assumptions built into our security systems by automating their attacks, transforming an assault that wouldn't be economically viable into a global, high-speed crime wave:
But it is possible for a community to maintain a commons. This is something Hardin could have discovered by studying actual commons, instead of inventing imaginary histories in which commons turned tragic. As it happens, someone else did exactly that: Nobel Laureate Elinor Ostrom:
Ostrom described how commons can be wisely managed, over very long timescales, by communities that self-governed. Part of her work concerns how users of a commons must have the ability to exclude bad actors from their shared resources.
When that breaks down, commons can fail – because there's always someone who thinks it's fine to shit in the well rather than walk 100 yards to the outhouse.
Enshittification is the process by which control over the internet moved from self-governance by members of the commons to acts of wanton destruction committed by despicable, greedy assholes who shit in the well over and over again.
It's not just the spammers who take advantage of Google's lazy incompetence, either. Take "copyleft trolls," who post images using outdated Creative Commons licenses that allow them to terminate the CC license if a user makes minor errors in attributing the images they use:
The first copyleft trolls were individuals, but these days, the racket is dominated by a company called Pixsy, which pretends to be a "rights protection" agency that helps photographers track down copyright infringers. In reality, the company is committed to helping copyleft trolls entrap innocent Creative Commons users into paying hundreds or even thousands of dollars to use images that are licensed for free use. Just as Advon upends the economics of spam and deception through automation, Pixsy has figured out how to send legal threats at scale, robolawyering demand letters that aren't signed by lawyers; the company refuses to say whether any lawyer ever reviews these threats:
This is shitting in the well, at scale. It's an online WMD, designed to wipe out the commons. Creative Commons has allowed millions of creators to produce a commons with billions of works in it, and Pixsy exploits a minor error in the early versions of CC licenses to indiscriminately manufacture legal land-mines, wantonly blowing off innocent commons-users' legs and laughing all the way to the bank:
We can have an online commons, but only if it's run by and for its users. Google has shown us that any "benevolent dictator" who amasses power in the name of defending the open internet will eventually grow too big to care, and will allow our commons to be demolished by well-shitters:
If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
Problems with "AI" generated "art," Exhibit #47,200
image by Contingencies.org - not botshit, I'm pretty sure
one of the worst things about the onslaught of procedurally generated botshit these days (for consumers of art / writing / etc) is that - unless you follow the creators themselves and trust them to be actual creators and not purveyors of botshit - we lose the joy of just enjoying shared art
now, whenever we see / read / etc a piece of art, our first response is no longer "ooooh cool," it's to zoom in and inspect it for fakeness artifacts. kinda starts to feel like work
I guess the positive aspect of this is that, rather than following art-aggregator blogs, more people are now following real artists directly?
I'm on tour with my new novel The Bezzle! Catch me TONIGHT in LA with Adam Conover at Vroman's, then on MONDAY in Seattle with Neal Stephenson, then Portland, Phoenix and more!
Vice died the way it lived: being suckered in by smarter predators, even as it trained its own predatory instincts on those more credulous than its own supremely gullible leadership. RIP, we hardly knew ye.
For those of you who don't know, Vice was a Canadian media success story. It was founded by a motley clique of hipsters, one of whom – founder of the Proud Boys – has since grown to be one of the world's great fascism influencers. Another perfected the art of getting young people to work "for exposure" even as he built a massive, highly lucrative media empire on their free labor:
Eventually, Vice transitioned to a string of progressively worsening corporate owners, each more dishonest, predatory – and gullible – than the last. The company was one of the most enthusiastic marks for Facebook's infamous "pivot to video" – in which Mark Zuckerberg destroyed half the media industry by tricking them into thinking that the public was clamoring for video content, based on fraudulent viewing numbers:
https://en.wikipedia.org/wiki/Pivot_to_video
Vice went all-in on video, spending hundreds of millions to finance Zuckerberg's doomed attempt to conquer Youtube. But unlike other the rubes who got zucked, Vice found greater fools to scam, convincing giant, slow-moving meidia companies that the best way to get in on the Next Big Thing was to shower them with vast sums of string-free money:
And yet, at every turn, through a succession of increasingly incompetent owners who bought the stumbling, declining Vice at fire-sale prices and then proceeded to hack away at the wages and tools its journalists depended on while paying executives salaries so high that they beggared the imagination, Vice's reporters continued to turn out stellar material.
This went on literally until the last moment. The memorial posted by 404 Media rounds up a selection of major stories Vice's beleaguered, precarious writers produced even as Vice's vulture capitalist leadership were pulling the rug out from under them:
True to form, those private equity scumbags locked all those workers out of the company's CMS without notice – and then forgot to lock down the podcasting back-end. That allowed a group of Vice veterans – Matthew Gault, Emily Lipstein, Anna Merlan, Tim Marchman and Mack Lamoureux – to gather for a totally unauthorized, tell-all session that they pushed out on an official Vice channel:
https://www.youtube.com/watch?v=TKT4OtDEJRA
It's a hell of a listen. Not only do these Vice veterans have lots of fascinating history to recount, but they also describe the conditions under which those blockbuster stories of Vice's final days were produced. As the "visionary leaders" of the company paid themselves millions, they halted payments to key suppliers, from Lexisnexis to the interview transcription service the writers depended on. Writers paid out of pocket to search PACER court records.
Not only did Vice's reporters do incredible work under terrible and worsening circumstances, but the Vice writers who got out ahead of the total collapse are also doing incredible work. 404 Media is a writer-owned investigative news publisher founded by four Vice escapees – Samantha Cole, Jason Koebler, Emanuel Maiberg and Joseph Cox, which is both producing incredible work and sustaining the writers who founded it:
https://www.404media.co/
All of which leads to an inescapable conclusion: whatever problems Vice had, they didn't include "writers don't do productive work" and also didn't include "that work isn't economically viable*. Whatever problems Vice had, they weren't problems with Vice's workers – it was a problem with Vice's bosses.
Which makes Vice's final, ignominious punishment at the hands of those bosses even more brutal, stupid and inexcusable. According to the leaked memos emanating from the company's investors and their millionaire C-suite toadies, the business's new strategy is abandoning their website in order to publish on social media.
This is…I mean, this,..
This is…
Wow.
I mean, wow.
The thing is, the social media business model is a giant rug-pull. They're not even bothering to hide their playbook anymore. For social media, the game is to encourage media companies to become reliant on third parties to reach their audiences. Once that reliance is established, the companies turn down – or even halt – the ability of those media companies to reach their audience altogether. Then, they charge the media companies to reach their audiences:
Now, this wasn't always quite so obvious. Back when Vice was falling for Facebook's "pivot to video," it wasn't completely obvious that the long con was to take your audience hostage and ransom them back to you. But deliberately organizing your business to be reliant on social media barons today? It's like trusting your money to Sam Bankman-Fried…in 2024.
If there was ever a moment when the obvious, catastrophic, imminent risk of trusting Big Tech intermediaries to sit between you and your customers or audience, it was now. This is not the moment to be "social first." This is the moment for POSSE (Post Own Site, Share Everywhere), a strategy that sees social media as a strategy for bringing readers to channels that you control:
Predicting that a social media platform will rug the media companies that depend on it today doesn't take a Sun Tzu – as cunning strategies go, the hamfisted tactics of FB, Twitter and Tiktok make gambits like "Lucy and the football" look like von Clausewitz.
The most bonkers part of this strategy is that it's coming from private equity bosses, who laud themselves as the great strategists of the 21st century, whose claim on so much of our global capital and resources is derived from their brilliant insight, which allows them to buy "distressed assets" like Vice, "restructure" them to find "efficiencies" and sell them on.
The reality is that PE goons – like other financiers – are basically herding animals. Everyone's hit on the tactic of buying up beloved media companies – from the 150-year-old Popular Science to modern publications like CNet – and then filling them with spammy garbage in the hopes that Google will fail to notice and continue to award them pride-of-place on search results pages:
The fact that these billionaire brain-geniuses can't figure out how to "turn around" a site whose workers a) produce brilliant, popular, successful work; and b) depart to found successful firms that commercialize that work tells you everything about their ability to spot "a good business opportunity."
PE – like other mafiosi – only have one business-plan, the "bust out," where you invade a business that produces useful things, force them to pay your chosen suppliers sky-high fees for things they don't need, extract massive fees for your "management" and then walk away from the collapse:
If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
