This week on my podcast, I read a recent Medium column, “Microincentives and Enshittification” (open access link), about how Google went from being a company whose products were eerily good and whose corporate might was more often on the side of right than wrong, to being a company whose products are locked in a terminal enshittification spiral and whose lobbying might is firmly on the wrong side of history.

Let’s start with how hard it is to not use Google. Google spends fifty billion dollars per year on deals to be the default search engine for Apple, Samsung, Firefox and elsewhere. Google spends a whole-ass Twitter, every single year, just to make sure you never accidentally try another search engine.

Small wonder there are so few search alternatives — and small wonder that the most promising ones are suffocated for lack of market oxygen.

Google Search is as big as it could possibly be. The sub-ten-percent of the search market that Google doesn’t own isn’t ever going to voluntarily come into the Google fold. Those brave iconoclasts are intimately familiar with Google Search and have had to override one or more defaults in order to get shut of it. They aren’t customers-in-waiting who just need a little more persuading.

That means that Google Search can’t grow by adding new customers. It can only grow by squeezing its existing customers harder.

For Google Search to increase its profits, it must shift value from web publishers, advertisers and/or users to itself.

The only way for Google Search to grow is to make itself worse.

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This week on my podcast, I read a recent Medium column. “How To Think About Scraping: In privacy and labor fights, copyright is a clumsy tool at best,” about the real risks (and benefits) of web-scraping, and how to formulate policy responses that preserve those benefits while targeting the harms head-on”

Scraping when the scrapee suffers as a result of your scraping is good, actually.

Mario Zechner is an Austrian technologist who used the APIs of large grocery chains to prove that they were colluding to rig prices. Zechner was able to create a corpus of historical price and product data to show how grocers used a raft of deceptive practices to trick people into thinking they were getting a good deal, from shrinkflation to cyclic price changes that were deceptively billed as “discounts.”

At first, Zechner worked alone and in fear of reprisals from the giant corporations whose fraudulent practices — which affected every person in the country — he had revealed.

But eventually, he was able to get the Austrian bureaucrat in charge of enforcing competition rules to publish a report lauding his work. Zechner open-sourced his project and attracted volunteers who started pulling in data from Germany and Slovenia.

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(Image: syvwlch, CC BY 2.0, modified)

This week on my podcast, I read my latest Locus column. “Plausible Sentence Generators,” about my surprising, accidental encounter with a chatbot, and what it says about the future of the bullshit wars.

When I came back to the tab a couple minutes later, I found that the site had fed my letter to a large language model (probably ChatGPT) and that it had been transformed into an eye-watering, bowel-loosening, vicious lawyer letter.

Hell, it scared me.

Let’s get one thing straight. This was a very good lawyer-letter, but it wasn’t good writing. Legal threat letters are typically verbose, obfuscated and supercilious (legal briefs are even worse: stilted and stiff and full of tortured syntax).

This letter read like a $600/hour paralegal working for a $1,500/hour white-shoe lawyer had drafted it. That’s what made it a good letter: it sent a signal, “The person who sent this letter is willing to spend $600 just to threaten you. They are seriously pissed, and willing to spend a lot of money to make sure you know it.” Like a cat’s tail standing on end or a dog’s hackles rising, the letter’s real point isn’t found in its text. The real point is the threat display itself.

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(Image: Cryteria, CC BY 3.0, modified)

This week on my podcast, I read a recent Medium column. “Enshitternet: The old, good internet deserves a new, good internet,” clarifying that our aspiration shouldn’t be to restore the internet’s former glory, but to make a new and glorious internet.

The enshitternet wasn’t inevitable. It was the result of specific policy choices: the decision to encourage monopoly formation, which created the corporate power and concentration that led to even more policies, granting the monopolist unlimited freedom to abuse us, and denying us any right to defend ourselves.

Anything that can’t go on forever eventually stops. The disenshittification of the internet isn’t a nostalgic bid to restore the old, good internet. It’s a plan to build a new, good internet, and to make the enshitternet a bad memory, a mere transitional stage between the old, good internet we had and the new, good internet we deserve.

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(Image: Cryteria, CC BY 3.0, modified)

This week on my podcast, I read a recent Medium column. “Ideas Lying Around,” about archivillain Milton Friedman’s surprisingly good theory of change, and how to apply it to progressive politics.

Enter Friedman: to people reeling in crisis, Friedman insisted that the missing oil was somehow the product of unionization, pollution controls, women’s lib, and the civil rights movement. Though this was transparent nonsense, akin to blaming witches for a crop failure, the crisis was so dislocating, and Friedman’s ideas had been lying around for so long, that they moved swiftly to the center.

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(Image: btwashburn, CC BY 2.0)

This week on my podcast, I read my lastest Locus column. “The Swivel-Eyed Loons Have a Point,” about the unlikely – but undeniable – common ground I share with the most unhinged far-right conspiracists.

The swivel-eyed loons at the anti-15-minute-city protests point out that such a scheme constitutes a form of pervasive location-tracking surveil­lance, and that this surveillance could be leveraged to attack disfavored minorities. They’re not wrong. Just look at London, where a (again, perfectly sensible) system of “congestion charging” and “low-emissions zones” has made serious progress in improving the air quality, reducing traffic, and improving journey times for public transit.

London also uses ALPRs to enforce its traffic restrictions, and pairs this with a massive public/private network of street cameras aimed at pedestrians, backstopped by a public transit system whose Oyster payment cards are virtually impossible to use anonymously.

The thing is, the UK government has a long history of abusing this kind of power. The Metropolitan London police ran a 40-year covert operation to infiltrate, track, and disrupt trade union organizers and activists, from students to Members of Parliament. The Met also colluded with large construction firms to maintain a secret blacklist of union organizers who were denied employment and had their lives ruined.

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This week on my podcast, I read my recent Medium column. “How To Make a Child-Safe TikTok: Have you tried not spying on kids,” about the bizarre unwillingness of considering a middle-ground between “unregulated TikTok” and “banning TikTok” – namely, prohibiting TikTok from spying on kids.

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(Image: Cryteria, CC BY 3.0; Vxla, CC BY 2.0; modified)