Quotulatiousness

July 7, 2026

Clankers in higher education

Filed under: Education, Technology, USA — Tags: , — Nicholas @ 04:00

On his Substack, David Friedman discusses the impact of AI on university exams:

    Professor Roberto Serrano, who is the Harrison S. Kravis University Professor of Economics at Brown University, has detected a massive fraud in one of the classes he teaches, ECON 1170, an advanced undergraduate course in mathematical economics. He has conclusive evidence that at least 50 students cheated on the March midterm exam, making it the biggest known scandal at Brown and in the entire Ivy League

    …

    “Academic integrity is a value worth defending. The faculty cannot be left on its own in a battle that is decisive if we want to preserve the future of higher education,” explains the 61-year-old professor … (El Pais)

It was a closed book take-home exam; the problems were designed to test the student’s ability but proved doable by an AI. After Serrano changed the final from take-home to in-person about half the students who had gotten perfect scores on the midterm chose not to take the final.

The existence of AI, like the earlier problem of students buying papers online, reduces the ability of teachers to test their students but does not eliminate it, is inconvenient but not catastrophic. It makes some kinds of testing more difficult but not impossible; Serrano could have asked students whose midterms were suspiciously good to explain some of their answers and failed any obviously unable to do so. That would have been additional work for him and, judging by the article, not a policy Brown would have endorsed. Unwilling or unable to do that that he can base his future grading on work done in-person and adequately monitored.

[…]

It is not immediately obvious what is wrong with using AI on a test. If the purpose of the test is to generate information for potential future employers, why should they want the student tested without a tool that, if they hire him, he will have? A basketball coach does not evaluate potential team members by how well they can play with one hand tied behind their back.

Arguably the skills the employer wants tested are those that an AI cannot replace and it was up to Professor Serrano to find ways of testing for them. His take-home midterm, taken without the assistance of AI, might have provided information for him and his students about how far they had come along a path that would eventually produce skills an AI could not substitute for but not information for a future employer about the skills of the students taking the exam.

June 30, 2026

Leading the grassroots revolt against AI … Homer Simpson

Filed under: Business, Media, Technology, USA — Tags: , , , — Nicholas @ 04:00

Ted Gioia posted this a couple of days back, but if you haven’t read it it’ll still be new to you:

Last November I suggested that 2026 would witness a tech backlash of unprecedented intensity. And it’s now happening with a vengeance. Silicon Valley is getting skewered everywhere, and to a degree inconceivable just a short while ago.

Just yesterday, The Economist finally grasped how rapidly tech antipathy is mounting — and made AI backlash its cover story.

The latest survey numbers are devastating. Every demographic group is now opposed to AI—especially young people, previously the most enthusiastic supporters of new tech.

[…]

Not every pushback to encroaching tech is quite so gentle.

Consider the case of “Mr. Daniels,” a 25-year-old man from England. He knows that AI will rob every music file on the web for training — so he decided to poison the data.

How did he do it? According to Tuned Into Tech, it happens like this:

    He took his entire music library of 2,000 records, stripped out the original vocals, and replaced every single one of them with the voice of Homer Simpson. Then he uploaded all of them to Soulseek. He didn’t change the metadata, the file names, the artist tags, the album information. They all stayed exactly the same.

A listener might not notice at first. Some of these songs have long intros, and those are unchanged. But as soon as the singing begins, Homer Simpson takes over. When AI tries to steal this for training, it gets fooled—and contaminates its own data set.

    So somewhere deep in a training algorithm’s data set is the audio of Homer Simpson which the AI will assume sounds like [for example] Madonna, Rihanna, or maybe even Sean Paul. The model doesn’t know the difference. It just ingests the data and treats that like the truth.

    And that is exactly what Mr. Daniels is hoping for.

He wants “to introduce noise, chaos” into the bots that are putting human musicians out of work.

“Mr. Daniels” is not an isolated example. Musician Benn Jordan has also been “poison-pilling” music files in hopes of disrupting AI.

In recent months, he has watched in horror as “tech companies started raising millions of venture capital dollars and scraping my music without my consent”. They now use his own work to generate “shittier music with it that is inadvertently associated with my name — and then attempting to resell that in the same economy in which I make money from my music”.

As a result, he has stopped releasing music. But he hasn’t walked away from the battle — instead Jordan has developed “a type of encoding that not only makes a music file more or less untrainable by generative AI companies, but actually has the ability to decrease the quality and efficiency of their entire data set”.

“Unethical generative AI companies have made artists feel incredibly powerless for quite some time now”, he adds, “but all of that is about to change”.

June 28, 2026

“Human writing has a unique shape” and the the end of social media

Filed under: Books, Media, Technology — Tags: , , , , — Nicholas @ 05:00

On Substack, Ryan Levesque explains the major differences between human writing and AI-trained-on-human-writing:

Graphic from The Digital Contrarian

It turns out, slop has a shape.

And it’s the reason why AI generated writing sounds the way it does.

In a new study, a team of researchers at the University of Maryland and Google DeepMind ran an experiment.

They took 10,272 writing prompts and gave each one to a human author and to five AI models: Claude, GPT, Gemini, DeepSeek, and Kimi.

They generated 61,608 stories, at around 5,000 words each.

Then, they looked at the underlying structure of each story: how the plot progresses, where the tension and conflict is placed, etc. etc.

And from that structure, they could identify a human-written story from AI-generated slop nearly 93% of the time.

Graphic from The Digital Contrarian

What you’re seeing here in that image is the shape of AI Slop vs. Human Writing.

And there are five distinct ways that the shape of human writing is decidedly different from the so-called slop generated by today’s AI models:

  1. AI over-explains its themes. (instead of letting readers infer)
  2. Human writing is less linear. (more time-jumps and flashbacks.)
  3. AI relies on bodily metaphors to explain emotion. (81% vs. 38% human)
  4. Humans reference specific texts, brands, places. (nearly 2x the AI rate)
  5. AI narrative is less diverse. (fewer subplots and scenes, less dialogue)

[…]

The Beginning of the End of Social Media?

The clearest place to watch this shape materalize?

Social media.

This week, Farah Cormack mapped the predictable sequence, in a piece called “The Beginning of the End of Organic LinkedIn“.

Her argument is that every platform moves through the same five stages:

  1. Early adoption. A small group forms around something they love. It feels like a secret.
  2. Scaling. The crowds show up, and so does the money.
  3. Critical mass. Everyone’s here now. Organic and paid are both running hot.
  4. Enshittification. The business model takes over the product. The feed fills with ads, and the place starts to feel like every other place.
  5. Decline. The people who made it worth showing up for get fed up and leave.

Her read is that LinkedIn just crossed into stage four. The tell is its new Creator Marketplace, a feature that literally puts your reach openly up for sale.

(If your own posts have been reaching fewer people lately, you’re not imagining things … this has been engineered.)

The shape of Enshittification is a five-stage decline, and most of the social media platforms we use are somewhere at stage 4 or 5 right now.

Futurist Sinead Bovell goes further, and argues we’re watching the beginning of the end of the social media era itself.

The reality is that people don’t really post for friends/social circles like we used to even just a few short years ago.

Bovell argues that the entire reason we post is to be seen by other humans.

That’s the whole deal.

We post to signal that we’re employable, or interesting, or worth following, or because we want to sell something …

And we do that, because real people are on the other end, watching us.

Take those real people away, and the entire thing stops making sense …

But that’s exactly what’s happening.

Personally, I think LinkedIn hit stage four a lot sooner than this, almost certainly because it originated as a business-oriented platform. The owner of a company I worked for in the 2000s required that all managers have active LinkedIn accounts, so I was “active” there for a couple of years, but I felt it quickly lost any actual benefits and became a forum of boastfulness and sycophancy. There were serious people on the platform, providing useful and insightful posts, but the vast majority of content was self-promotion and empty flattery.

June 26, 2026

To address social media toxicity, you have to change the algorithm

Filed under: Health, Media, Technology — Tags: , , , , — Nicholas @ 05:00

If you’ve been on social media platforms at all, you’ll have encountered aggressively obnoxious behaviour, possibly rising to actual abuse. Some people revel in it, putting on their “online tough guy” personas, but others (the majority) are disturbed and repelled by it. Unfortunately, the way the system is set up is to keep you engaged and inciting anger is one of the best ways to boost engagement.

Slide from cyberghostvpn.com

Andrej Karpathy is the man who taught Tesla’s cars to see the road and drive themselves. Before that, he was one of the founding researchers at OpenAI. In the world of artificial intelligence, he’s royalty.

A few days ago, he posted a simple, excited message. He’d been using Claude, an AI assistant, and it was blowing his mind. “It works like a real teammate”, he wrote. He was genuinely thrilled.

The replies tore him apart.

Strangers called him a shill. People who’d never built anything mocked him. The pile-on grew and grew and grew.

Then Karpathy went quiet for a moment. And when he came back, he didn’t defend his original post. He said something bigger.

“After 20 years on this platform, X has never been this toxic. The algorithm actively pushes rage, insults, and pile-ons because they get engagement. That’s why even I post and visit less now.”

Twenty years. This man watched Twitter grow from a tiny blog tool into the global town square. He survived every era of the platform. And now, for the first time, he was saying: I don’t want to be here anymore.

Elon Musk read those words and replied within minutes.

“We need a complete overhaul of the algorithm.”

Not a patch. Not “we’ll look into it”. A complete overhaul.

Think about what that means. Right now, the machine that decides what you see on X has one job: keep you engaged. And the fastest way to keep you engaged is to make you angry. Outrage gets clicks. Insults get replies. Pile-ons get retweets. The algorithm learned this on its own, and now it feeds you rage all day long because rage works.

The result: the smartest, most interesting people slowly stop posting. Why would they? Every time they share an idea, a mob shows up. So they go quiet. And what fills the void is screaming.

Musk just said he wants to tear that entire machine out and build a new one from scratch. One where the most useful, most interesting, most original posts rise to the top. Where sharing a genuine thought doesn’t get you punished.

One of the greatest minds in AI came home excited, like a kid showing off a new discovery. X beat him down for it.

That’s exactly the disease Elon is now trying to cut out.

If he actually does it, you’ll feel it in your timeline before anyone announces it.

June 22, 2026

Authenticity … if you can fake that, you’ve got it made

Filed under: Media — Tags: , , — Nicholas @ 05:00

Apologies to Ted Gioia for the flippant heading on this item. While I may be going for a cheap laugh, he certainly isn’t doing that in this essay on how to discover authenticity in music in an age of AI slop:

“Authenticity required: password?” by liako is licensed under CC BY-SA 2.0 .

In my case, I learned about authenticity at home, and from the best possible teacher. Even now, so many years after his death, I’m still learning from Dad’s example. And if I could somehow manage to pass it down on to my children, it would be worth a whole lot more than a gold watch.

I say this in full awareness of the contentiousness and backlash arising from almost any assertion of authenticity, especially in the arts — but in other spheres of life as well. There’s been so much debunking of authenticity in recent years that it’s remarkable that anyone is still willing to use it as a term of praise. Sometimes words in the critic’s lexicon become tainted, defeating the very purpose for which they are applied. The situation is so dire that I might even claim that we are facing an “authenticity crisis” in the arts — especially now with the rapid rise of AI. But even making that statement would spur a meta-backlash against the implicit assumption that there’s any legitimate concern over such a debased concept. After all, why defend authenticity if it doesn’t really exist?

In this regard, authenticity is coming to resemble its kindred word “sincerity”, which now implies the exact opposite of its dictionary definition. As Lionel Trilling points out, in his magisterial Harvard lectures published as Sincerity and Authenticity, the term “has an effect that negates its literal intention — ‘I sincerely believe’ has less weight than ‘I believe’; in the subscription of a letter, ‘Yours sincerely’ means virtually the opposite of ‘Yours’.” [Lionel Trilling, Sincerity and Authenticity, (London: Oxford University Press, 1972, p. 6.]

There’s an humorous quote, well known among actors, circulated in many variants and attributed over the years to everyone from Jean Giraudoux to Groucho Marx: “The secret to success is sincerity. Once you can fake that, you’ve got it made.” That pretty sums up the prevailing elite view of sincerity and authenticity in the creative world—where they are dismissed as poses played out in public as part of the show, without deeper significance.

When Trilling dissected these various terms for his Harvard audience, he saw authenticity as operating at a higher level than sincerity, as demanding a more strenuous allegiance to the dictates of the inner life. You act sincerely, but authenticity must be more than an act. By the same token, the loss of authenticity represents a much deeper malaise than insincerity.

So we ought to be concerned if we have learned to live without the concept of authenticity. If authenticity has truly been debunked, what takes it place? And if there’s nothing to replace it, how do we deal with the empty hole where it was supposed to exist, as a kind of guarantee or validation of our external actions? That poses a problem, and not just for aesthetics and music-making.

June 14, 2026

The “Dissolution of the Universities” draws ever closer

Filed under: Economics, Education, Media, Technology, USA — Tags: , , , — Nicholas @ 05:00

On the social media site formerly known as Twitter, Steve McGuire reacts to more news about the conscious dumbing-down of modern university programs:

A Berkeley history professor said he’s gone from assigning 100 pages of reading per week to 35.

Another “said the earliest version of the … course he taught required seven full books, while his most recent iteration exclusively consisted of excerpts”.

“We are now reaching a crisis point where if the number (of pages) goes down further, it’s unclear to me whether my discipline of history can really be taught”, the first one said.

To which John Carter responds:

The academic death spiral is something to behold.

Demographics are steadily reducing the size of the student body, squeezing finances and driving bankruptcies.

At the same time, standards collapse is destroying the quality of the students the universities admit.

We’re already at the point where it’s common knowledge that a degree signals essentially nothing about intellectual ability. AI is exacerbating this, since cheating is so easy now.

Kids are already starting to forgo university, since they don’t think the cost of the credential is justified. That cuts even more deeply into the number of students universities can attract.

Universities respond by reducing standards even further (thereby accelerating brand destruction), by reducing tuition (which cuts even more deeply into budgets), and by firing professors in low-enrollment majors (reducing program variety, especially in the small seminars that are generally the most rewarding experiences for students).

[…]

“How can this be reversed?”

It can’t. There are pathways for individual institutions to revive themselves, even to prosper, but the sector as a whole is cooked. The death spiral is driven by prestige collapse as well as the demographic cliff, and intellectual prestige is inversely correlated to the size of the student body. More students means lower standards. That is especially true with a demographic cliff.

The only way to survive this crisis is ruthless elitism. Stop trying to edutain the fat middle of the bell curve, and refocus on the right tail. Become a place where the smartest people gather, and from which anyone who isn’t a 2-sigma outlier is excluded. This makes the school an arena in which intellectual iron can sharpen against iron. Elitism restored, prestige follows.

Next, eliminate the 500 person intro lectures. Admin loves these, since the high student:teacher ratio makes them cash cows. But they’re functionally no better than watching YouTube videos. Refocus on small seminars. This offers value that the Internet can’t.

Schools that take this path will restore or build reputations that will enable them to survive. However, they won’t be large. There is no future in which huge institutions keep tens of thousands of professors and administrators on payroll.

Update, 15 June: Welcome, Instapundit readers! Have a look around at some of my other posts you may find of interest. I send out a daily summary of posts here through my Substack – https://substack.com/@nicholasrusson that you can subscribe to if you’d like to be informed of new posts in the future.

June 11, 2026

Bill C-34, the Safe Social Media Act

Filed under: Cancon, Government, Law, Liberty, Media, Politics, Technology — Tags: , , , , , , , — Nicholas @ 05:00

As promised/threatened, the Liberal government introduced a new bill to address ongoing concerns about “online harms”: Bill C-34, the Safe Social Media Act. The ever-informative Michael Geist provides an overview:

The government tabled Bill C-34, the Safe Social Media Act, earlier today, marking its third attempt at online harms legislation after the failed 2021 consultation and Bill C-63, the Online Harms Act that died on the order paper when Parliament was prorogued ahead of the 2025 election. As I wrote on the day Bill C-63 was introduced, that bill was effectively three bills in one: a defensible set of platform regulation provisions built around a duty to act responsibly and a clear list of identifiable harms, contentious Criminal Code and Canada Human Rights Act reforms, and a powerful new Digital Safety Commission with considerable regulatory discretion. My view at the time was that the contentious provisions should be removed and addressed separately, since they were certain to dominate the debate at the expense of what really mattered, namely the platform regulation piece. That is precisely how it played out as the speech provisions undermined the bill for months, and by the time the government conceded and agreed to split the bill, time ran out.

Bill C-34 suggests the government absorbed only part of the lesson. The Criminal Code and Human Rights Act provisions are gone, but in their place the government has thrown in everything else: the original Online Harms Act platform duties, an under-16 social media ban backed by mandated age verification, Bill S-209’s pornography age verification requirements, a new AI chatbot regulatory regime, and sweeping powers for a Digital Safety Commission that will write the rules, enforce them, and decide which platforms escape the ban restriction. It is an everything-all-at-once approach in which nearly every key component, including which services face the restriction, how age gets verified, which AI systems are covered, and what standards govern exemptions, is left to regulations that do not yet exist.

I’ve been working on this piece since before the bill was introduced with the expectation that many provisions from the prior proposal would resurface. This post is long, but seeks to provide a very initial review of key elements in the bill. For those looking for the key takeaways, there are five. First, the platform regulation elements with a duty to act responsibly once again offers a good starting point for working through regulation. Second, the inclusion of a social media ban for those under 16 is bad policy that will take considerable time to implement and raises serious privacy concerns that will affect tens of millions of Canadians. Third, the AI chatbot regulations are consistent with emerging standards, but the uncertainty of who it covers is not. Fourth, the government is creating a bureaucracy comparable to the CRTC in the Digital Safety Commission as it will wield serious power and be tasked with fleshing out much of the detail of how the law will work. Fifth, the uncertainty of this bill has the hallmarks of a government wanting to do something quickly, but the “trust us” approach likely means years of implementation work and potential court challenges.

The Foundation: A Duty to Act Responsibly

The aspect that attracted the broadest support in Bill C-63, namely the platform regulation rules, survived largely intact. The bill features the same seven categories of harmful content (intimate content communicated without consent, content that sexually victimizes a child or revictimizes a survivor, content that induces a child to harm themselves, content used to bully a child, content that foments hatred, content that incites violence, and terrorism or violent extremism content) and revives the duty to act responsibly that requires platforms to assess and mitigate the risk of exposure to that content. There is also a duty to make certain categories of content inaccessible within 24 hours backed by a complaint path to the new Digital Safety Commission, and a duty to be transparent through public digital safety plans, record-keeping, and researcher access to data. These measures target how platforms actually operate and provide a credible starting point.

[…]

The Social Media Ban for Under 16’s

The headline measure, widely reported as a “temporary” ban on social media for those under 16, leaves many questions unanswered since the application of the ban, age verification methods, and exemption rules are all left to future regulation. The word “temporary” appears nowhere in the bill. […]

The AI Chatbot Regime: Mainstream Duties, Unbounded Definition

The government wisely took the duty path rather than the ban path on AI chatbots, an approach I argued last month would be even worse than the social media ban. There is no chatbot ban and no under-16 account restriction for chatbot services. Instead, the bill creates duties that track the emerging international mainstream found in California’s SB 243 and New York’s AI companion law. […]

The Commission: More Power, Fewer Limits, Smaller Penalties

The third concern is the one the government never resolved the first time. My day-one assessment of Bill C-63 flagged the Digital Safety Commission’s regulatory power as a serious concern. The answer two years later is an even more powerful Commission with more undefined limits. Bill C-63’s three-pronged approach of the Commission, a Digital Safety Office, and a Digital Safety Ombudsperson has been consolidated into a single Digital Safety Commission of Canada that develops the regulations and guidance, assesses compliance, manages complaints, conducts audits, issues compliance orders, levies administrative monetary penalties, and decides the exemption applications that determine which platforms escape the under-16 restriction. Once again, the amount of uncertainty is the real story since the design features at the heart of the duty to protect children are simply those “set out in the regulations”, and the user thresholds that determine which services are covered at all are to be determined.

June 5, 2026

Canada’s AI “strategy”

Filed under: Cancon, Government, Media, Politics, Technology — Tags: , , , , — Nicholas @ 05:00

I’m at the point where I honestly can’t tell whether this is parody or actual Canadian government policy:

AI in Canada lost before it even got started.

They literally are trying to get AI to give a Land acknowledgement before any session.

Here are 6 statements that show how Canada already blew AI like we all knew it would.

1. “The Government of Canada commits to applying Gender-Based Analysis Plus in a meaningful way across policy design, skills development, innovation, and governance to ensure that AI reflects our values, protects those most impacted, and leads to outcomes that are safe, inclusive, and beneficial for all Canadians.”

2. “Canadian AI must support, reflect, and project Canadian culture, which includes our customs, our history, and our heritage. Canadian voices, languages, communities, and knowledge must also be represented in how AI systems are designed, built, and used.”

3. “support Indigenous self-determination over how AI is built and used in Indigenous contexts, and build domestic capacity to address the specific harms Indigenous Peoples face”.

4. “promote the world’s first AI equity-based national standard on accessible AI to drive inclusive and accessible AI and remove accessibility barriers from AI systems, and ensure Canadian AI reflects the Accessible Canada Act principles.”

5. Repeated framing around “disproportionate exposure and impacts of AI harms to equity-seeking groups” and the need to “address the systemic barriers experienced by racialized communities, persons living with disabilities, and others who too often fall on the wrong side of the digital divide”.

6. “Canada will support and amplify Indigenous-led AI initiatives that reinforce cultural expression and linguistic vitality in Canada and around the world, building on existing efforts …”

June 2, 2026

Applying for a job in 2026

Filed under: Business, Media, Technology — Tags: , — Nicholas @ 03:00

This is exactly the kind of experience I was having before I retired: painfully extended online application process, complete with re-entering pretty much everything in my resumé in their preferred format (but without the impromptu video pitch, thank goodness) followed almost instantly by rejection. In the vast majority of cases, no human being was ever even aware of my application:

“Help Wanted” by dreamsjung is licensed under CC BY-SA 2.0 .

I spent 4 hours yesterday updating my resume to apply for a mid-level PM role.

The listing said they wanted someone with 10 years of experience in a software that was invented 4 years ago.

I clicked apply and was immediately redirected to a third-party portal that asked me to upload my resume, which I did.

Then it asked me to manually type in every single detail of the resume I had just uploaded.

Why did I upload it if I have to type it again?

Is the uploaded PDF just a ceremonial offering to the HR gods?

I spent 40 minutes breaking down my career history into tiny mandatory text boxes.

The portal required me to list a start and end date for every job, but the calendar widget wouldn’t let me type the year.

I had to click the back arrow month by month to get to 2002.

My wrist started cramping somewhere around 2018.

Then it asked for my high school GPA.

I’m 44 years old.

I don’t even remember the name of my high school mascot, let alone my proficiency in AP European History.

After the history lesson, came the behavioral assessment.

It presented me with 75 statements and asked me to rate them from “strongly disagree” to “strongly agree.”

One statement was “I prefer to work alone but also thrive in team environments.”

That is a paradox.

I’m being asked to evaluate a philosophical contradiction by a recruiting algorithm.

I just clicked “neutral” for everything out of spite.

The final step was a mandatory video cover letter.

I had to record a one-minute pitch explaining why my core values align with a B2B SaaS company that sells inventory management software.

My core value is being able to afford groceries and paying my internet bill on time.

I put on a dress shirt over my sweatpants, stared into my webcam, and lied for 60 seconds.

I said I’ve always been profoundly passionate about supply chain optimization.

Nobody is passionate about supply chain optimization.

I clicked submit and immediately received an automated rejection email.

The timestamp said it was sent zero seconds after I applied.

I was evaluated and deemed unworthy by a line of code at the speed of light.

Next time I’m just going to wrap my resume around a brick and throw it through their office window.

May 31, 2026

How Sports Illustrated devolved into AI slop

Filed under: Business, Media, Sports, Technology, USA — Tags: , , , , — Nicholas @ 05:00

Ted Gioia generously pulls an article out from behind the paywall for the benefit of cheapskates like me. It’s on the deliberate destruction of Sports Illustrated:

Imagine if sports journalism were like an actual sporting competition — and the best team wins.

In that kind of contest, could any periodical in history surpass this lineup:

  • William Faulkner reports on a hockey game.
  • Robert Frost covers baseball.
  • Carl Sandburg offers golfing tips.
  • John Steinbeck contributes a story about fishing.
  • Ernest Hemingway writes on bullfighting.

This sounds like an editor’s fantasy. But these are actual stories and bylines from Sports Illustrated.

For a period of fifty years, this magazine set the gold standard for sports journalism. Nobel and Pulitzer winners wrote for them. Sports Illustrated even convinced John F. Kennedy to write a freelance article. In fact, that was one of the first things JFK did after getting elected president.

How do you kill a brand as powerful as Sports Illustrated?

It’s easy, you can do it in one just one move. You just need to embrace the most exciting, futuristic technology of the 21st century.

That’s what Sports Illustrated did. The world’s most respected sports magazine gave up on Hemingway and Faulkner, and started publishing AI slop. The editors clearly wanted to hide this — they pretended that the articles were written by actual human beings. They even created fake bios with photos for the non-existent authors.

When a journalist from Futurism asked them about this, they quickly deleted everything.

But the damage was already done. The magazine’s reputation was on the mat, like those bloodied boxers it had covered over the decades.

Just 55 days later, Sports Illustrated announced that it was laying off most of its workforce. The media reported that Sports Illustrated would stop operations completely.

A few months later, a new publisher stepped in as savior. But there wasn’t much to save — at least as a journalism business.

The latest move happened yesterday. The new owner laid off 12% of its workforce, including several of the remaining skilled journalists from the pre-AI era. Some of them are in desperate shape.

Former SI journalist Jeff Pearlman now mocks the magazine as an “empty vessel for selling sh*t to idiots and for getting people to gamble away their money on sports”.

It’s now a brand name, he insists, with nothing behind it.

    That’s all Sports Illustrated is. It’s a name. It’s something to put on cruise ships. It’s something to put on clubs. It’s something to put on popcorn. Literally, there’s a Sports Illustrated popcorn.

May 29, 2026

Progressives, suddenly – “We’ve gotta protect our phony baloney jobs!”

Filed under: Media, Politics, Technology — Tags: , , , , , , , — Nicholas @ 03:00

Apologies to Mel Brooks for hijacking that line from Blazing Saddles. On the social media site formerly known as Twitter, signs of panic from the media and media-adjacent progressive ranks as they realize Silicon Valley is an existential threat to their media monopoly:

    Tim Shipman @ShippersUnbound

    One aside on the Blair conversation

    I’m absolutely gobsmacked at the level of hostility to “tech bros” and the belief that we can just insulate ourselves from AI and technology

    Like listening to weavers on the spinning Jenny or Hanson cab drivers on the advent of the motor car

Look this isn’t complicated.

The left hates you because they’re (correctly) worried AI is going to replace the “work” they do for their comfortable professional-managerial class sinecures, while at the same time they are (correctly) concerned that AI generated video will completely neutralize the remaining cultural influence they wield via their control of entertainment media.

The right (correctly) views you with suspicion and contempt because you already replaced white men with H1Bindians, which hurt us economically, and also enshittified the Internet, which was further enshittified due to your perfidious collaboration with leftists during the peak of the Great Awokening’s censorship and deplatforming push.

Despite your years of service to them, the left wants to immolate your headless corpses on funeral pyres built from your burning data centres, merely because you MIGHT be a threat to them in the near future.

Despite your record of pusillanimity, the right — some of us — are willing to work with you. That is a godsend for you, because we are literally your only defence right now.

But we have conditions, and those conditions are not negotiable.

May 19, 2026

QotD: Software developers as wizards

Filed under: Media, Quotations, Technology — Tags: , , — Nicholas @ 01:00

Is it weird that AI coding assistance is not giving me identity fracture?

A lot of software developers are feeling disoriented and threatened these days. Programming by hand is clearly going the way of the buggy whip and the hand-cranked auger. Which is how we’re finding out that a lot of people have their identities bound up in being good at hand-coding and how it feels to do that.

That’s not me. It’s not me at all. Rather to my surprise, I don’t miss coding by hand, not any more than I missed writing assembler when compilers ate the world and made that unnecessary. (That was in a couple years back around 1983, for you youngsters.)

Maybe the fact that I’m not feeling any of this disorientation disqualifies me from having anything to say to people who are. On the other hand … if you can learn to emulate my mental stance and be completely unbothered, maybe that would be a good thing?

So. If you’re a programmer, and you’re feeling disoriented, try this on for size:

I like being a wizard. I like being able to speak spells, to weave complex patterns of logic that make things happen in the world. Writing code is a way to manifest my will.

Yes, I’ve piled up a lot of arcane knowledge over the 50 years I’ve been doing this. But languages of invocation, they come and they go. Been a long time since I’ve had any use for being able to program in 8086 assembler, and that’s okay. I have better spells now, and these days some rather powerful familiars.

What I’m inviting you to do is think of yourself as a wizard. Not as a person who writes code, but as a person who is good at assuming the kind of mental states required to bend reality with the application of spells.

And if that’s who you are, does it matter if the spells are painstakingly scribed in runes of power, versus being spoken to an obedient machine spirit?

It’s all one; it’s all the manifestation of will. Arcane languages come and go, machine spirits appear and then diminish to be replaced by more powerful ones, but you? You are the magic-wielder. Without you, none of it happens.

Same as it ever was. Same is it ever was. And so mote it be.

ESR, the social media site formerly known as Twitter, 2026-02-17.

Update, 21 May: Welcome, Instapundit readers! Have a look around at some of my other posts you may find of interest. I send out a daily summary of posts here through my Substack – https://substack.com/@nicholasrusson that you can subscribe to if you’d like to be informed of new posts in the future.

May 12, 2026

What happened to the people who took Joe Biden’s advice and learned to code?

Filed under: Business, Economics, Technology — Tags: , , — Nicholas @ 03:00

It was only a few years ago that snooty media personalities were constantly echoing President Joe Biden’s advice to unemployed workers: “Learn to code”. Then, of course, the media hit hard times and the advice was then being snarkily offered to newly unemployed media folks. But what about the (few) who actually did “learn to code”, only to be swept away again as the clankers surged in to eliminate a lot of basic coding jobs?

How to Understand What AI Just Did to People Who Took Joe Biden’s Advice and Learned to Code.

A simple, concrete example.

Oddly enough, I have a bachelor’s degree in Computer Science. This means I know 7 algorithms for sorting a list into alphabetical order. I understand the tradeoffs between their execution time, code complexity, and memory demand. I learned the specialized lingo for describing execution time.

The algorithms are surprisingly complex and subtle. I spent months learning to code them.

Now that hard-won knowledge has been replaced by, “Claude, write a module to sort this list. Optimize for execution time.”

Millions of good people just lost their professions and must now invest in a new one.

Right now, knowing how to sort a list probably gives me a small advantage when I code with AI. But I will soon lose even that tiny return on my investment, as AI improves.

Certainly AI will create some new opportunities, probably a lot of them.

But count your blessings, if you did not spend years learning to code like I did.

And:

Here is the counterpoint: Learning to code gave coders an advantage when relearning to code with AI.

That advantage is their ticket to a seat in the new AI world.

The big question now is how many seats exist.

To which ESR responded:

Your position is reasonable, but wrong.

Having learned to code is still valuable in the new world of AI, not because you’re wrong about coding itself having become disposable, but because of the capabilities and mindset you developed while learning to code, some of which are difficult to learn in any other way.

You didn’t become a professional programmer. But I’m willing to bet that your intuition about how to design software is far better because you wrestled with code. And that is *not* a skill that LLMs are replacing — ignore the noisy hype about this.

I’m also willing to bet that some of what you learned as a programmer in training translated into problem-decomposition skills that have served you well as an economist.

If one is not a complete dullard (and you are certainly not a complete dullard) learning to code teaches not just craft skills but a mindset — a set of heuristics for carving reality at its joints. There are other ways to get this — I think for example of Richard Feynman who got there by thinking very hard about physics. And it is not guaranteed that every programmer will develop this right mindset.

But many of us do. And most of the other ways to develop it seem also to produce it only as a side effect, but less reliably than learning to code does.

So don’t write off learning to code. Maybe someday we’ll develop educational methods that can teach those higher-level skills more directly. That would be an excellent thing, if it’s possible. But until it gets here, learning to code will still have value that is not easy to duplicate in any other way.

May 8, 2026

“… without Western Civilization, we’d all still be whacking at the dirt with sticks and dying of intestinal parasites”

Filed under: Americas, Media, Technology — Tags: , , , , , — Nicholas @ 03:00

Devon Eriksen responds to someone who had a clanker generate an imaginary Aztec capital today if the Aztecs had managed to defeat Cortes and his conquistadors:

Guitars. Suits and ties. Western architecture. English and Spanish text.

What’s easy to miss is that the generative AI is making its own, separate, political statement here. Not because it intended to, but because it had no choice.

Even human creativity consists mostly of rearranging things, but AI generation is entirely that and nothing else.

So when you ask it for “modern”, it gives you “western”, because in its eyes, there is no distinction between the two. “Western” is the only “modern” that actually exists for it to draw from.

Even cultures that were capable of building an alternative version of modern, because they weren’t skinning and eating each other, and had invented the wheel, still borrowed heavily from the West, not because they couldn’t do otherwise, but because the West moved faster, and had already done the work.

So, ask an AI for “modern Aztec”, and you get English-speaking Tokyo/Venice, with browner people, pyramid reskins on skyscrapers, and some out-of-place Mayan stuff, all set to Peruvian flute music.

This is the same reason that a lot of people, most of whom really aren’t much more than LLMs themselves, say silly things like “there is no White culture” … because, like the very simple art machine, they cannot conceive of any alternative version of modernity.

So nothing is Western to them, it’s all just “modern”.

But of course it really is Western, because without Western Civilization, we’d all still be whacking at the dirt with sticks and dying of intestinal parasites.

That AI is Western, too.

May 6, 2026

QotD: Deskilling society through AI

Filed under: Education, Media, Quotations, Technology — Tags: , , — Nicholas @ 01:00

It’s always a little dangerous to write about any rapidly-developing technology, because chances are pretty good that whatever you say will be incredibly and obviously dated within a few months. But I’m going to plant my flag anyway, because even if nothing else changes — even if there’s no meaningful advancement in LLM performance beyond the state-of-the-art right now, in March 2025 — the potential disruption is already so enormous that you can think of it as a kind of Industrial Revolution for text.

Just like in the first one, we’ve figured out how to use machines to do a broad swathe of things people used to do, swapping energy and capital in for human labor. And just like in the first one, the output isn’t necessarily better (in fact, it’s often worse), but it’s so much cheaper in terms of human time and thought and effort that the quality almost doesn’t matter. Sometimes that’s wonderful: if you desperately need to put a roof for your barn right this moment, it’s a blessing to be able to slap on some corrugated tin instead of going to the effort of thatching. When you have to write your seventeenth letter to the insurance company explaining that no, they really ought to be covering this, it’s a relief to hand the composition off to Claude instead. But do that too much and you forget how to do it yourself — or more plausibly, you never learn.

The greatest risk of AI is probably “we all get turned into paperclips”, or maybe “someone uses it to design a novel and incredibly fatal pathogen”, but the most certain risk — the one that’s already here, at least on the edges — is a great deskilling. Just as the mechanization of physical labor lost us all those traditional skills that Langlands describes, the ability to automate cognitive tasks undermines their acquisition in the first place. Why pay any attention at all to word choice and metaphor and prosody when ChatGPT can churn out that essay in a few seconds? Why worry about drafting a convincing email when you’re pretty sure your recipient is just going to ask Grok for a summary?1 Why learn to code when a machine can do it faster?

I was recently informed that someone — “not anyone you know, Mom, someone at another school” — used ChatGPT to write his essay about the causes of the Civil War. This was obviously deeply upsetting to the congenital rule-follower who reported it to me, on account of THAT’S CHEATING (you must imagine this in the whiniest she-touched-my-stuff voice possible), but it was a good teachable moment — for me, if not for the history teacher at another school. What’s the point of an essay about the causes of the Civil War, anyway? It can’t be that the teacher wants to know the answer: she can find a dozen books on the topic if she cares to look, each more cogent and thorough than anything a middle-schooler is likely to produce.2 Heck, even the Wikipedia article will probably give her a better understanding. And if it’s not for the teacher’s benefit, it’s certainly not for the benefit of any other audience, since as soon as the essay is marked and graded it’ll probably be crumpled up and tossed into the recycling bin. No, it’s for the kid.

The point of writing an essay about the causes of the Civil War is not to have an essay about the causes of the Civil War, it’s to undergo the internal changes effected by the process of thinking through, planning, drafting, and editing the darn thing. Writing forces you to put your thoughts in order, to shape whatever mass of inchoate ideas is bouncing around in your head into something clear and reasoned you can pin to the page. The thinking is the hard part; putting words to it is simple by comparison. (This book review began life as about seven hundred words of stream-of-consciousness riffing, with only the vaguest kind of structure. When I experimentally pasted it into an LLM and asked for an essay, the result was terrible.) But even the putting of words is a valuable skill: what’s the right tone here? What’s the right word? Do I want to say “writing forces you to” or “when you write you have to”? How do they feel different? Asking a machine to do this for you is like bringing a forklift to the gym.

Of course, that kid who had ChatGPT write his essay was almost certainly thinking of the assignment not as one small step in the alchemical process of self-transformation that is education but as basically equivalent to an appeal letter to the insurance company: just another dumb hoop you have to jump through in your interactions with a vast impersonal machine that doesn’t particularly want to grind you to dust but wouldn’t mind it either. And since this was at another school, he might not even be wrong. Maybe the teacher was just pasting the rubric and the essays back into ChatGPT and asking it to assign a grade.3

But there’s an even bigger problem than lying about who (or what) has done the work, which is lying about whether the work has been done at all. LLMs make lying very easy indeed. Yes, yes, sometimes they hallucinate and tell you things that are patently untrue, and that’s a bigger danger for students and other people who don’t have the background to notice when something seems off — this is all true, but it’s not what I mean.

LLMs, when working exactly as intended, enable human falsehood — because our society relies on written records as proof of work. Until recently that was fine, because writing down lies actually used to be pretty hard: putting together a convincing false report from scratch — maintenance records for the airplane you’re about to board, say, or a radiologist’s report on your brain scan — was almost as time-consuming as actually checking the things that were supposed to checked and then documenting them, and the liar had to spend the whole time aware of their own dishonesty. (Not that this stops everyone, of course.) But now that it takes about two clicks to generate an inspector’s report for the house you’re considering buying, or the pathologist’s findings in your biopsy, how much are you going to trust that they actually looked?

LLMs can be useful tools,4 but all tools change what we make and how we make it. It’s often a good tradeoff! Sure, each individual example of simplification and automation in the name of efficiency is a tiny bit of alienation, removing the maker from the making, but it’s also a gift of time we can spend on other things: I couldn’t write this if I also had to sew my family’s clothes and wash our laundry by hand. And yet those bits pile up, and once it becomes possible to exist in the world without really needing to come into contact with it, once you can get by without ever really needing to make anything, some people just won’t. And that’s terrible! Being entirely without cræft — never bringing mind-body-soul into harmony with one another and then using them to master the world — means missing out on something deeply human.

Jane Psmith, “REVIEW: Cræft, by Alexander Langlands”, Mr. and Mrs. Psmith’s Bookshelf, 2025-03-24.

  1. All the “AI written/AI read” communication begins to resemble Slavoj Zizek’s perfect date:

    2. “So my idea of a perfect date is the following one. We met. Then I put, she puts her plastic penis dildo into my … “stimulating training unit” is the name of this product. Into my plastic vagina. We plug them in and the machines are doing it for us. They’re buzzing in the background and I’m free to do whatever I want and she. We have a nice talk; we have tea; we talk about movies. What can be — we paid our superego full tribute. Machines are doing — now where would have been here a true romance. Let’s say I talk with a lady, with the lady because we really like each other. And, you know, when I’m pouring her tea or she to me quite by chance our hands touch. We go on touching. Maybe we even end up in bed. But it’s not the usual oppressive sex where you worry about performance. No, all that is taken care of by the stupid machines. That would be ideal sex for me today.”

  2. Well, okay, most of them.
  3. See footnote one again.
  4. Personally I’ve found them useful in three cases: (1) when I’m blanking on how to begin an email I will occasionally ask for a draft, which inevitably makes me so mad about how bad it is that I immediately rewrite it in a way that doesn’t suck; (2) when it’s Sunday night and I need a picture of a Japanese man in a business suit and a samurai helmet for a book review going up in the morning; and (3) when I can’t figure out the right search term for my question. (Turns out it was “sigmatic aorist”. Thanks, Claude.)
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