Quotulatiousness

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 25, 2026

Passively shaping public opinion is one of big tech’s favourite techniques

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

In the portion of this post above the paywall, Celina shows a good example of how social engineering doesn’t have to be blatant to be effective:

Before reading further, open a new browser tab and type the search term “married white woman” into Google Images. Scroll through the first several rows of results. What do you see?

The output which is consistently replicated across different devices and geographic locations is a deluge of mixed-race couples. The output is overwhelmingly dominated by images of white women intimately paired with black or non-white men. To the casual observer passively consuming this digital output, the presentation establishes an immediate baseline for normalcy. The volume and priority of these specific demographic pairings create the distinct impression that such relationships are the standard, ubiquitous, and foundational reality of modern Western society.

Yet, when we contrast this algorithmic simulation with reality, a massive discrepancy emerges. Statistically, interracial marriages remain a distinct minority of overall unions in the United States and across the broader Western world. According to comprehensive data from the Pew Research Center, in 2020, only 11% of all married couples in the United States were interracial or interethnic. When we drill down into the specific pairing that dominates the aforementioned image search, the numbers shrink even further. Marriages specifically between a white woman and a black man account for a mere 7% of that already small 11% sliver of intermarriages. In absolute terms, out of over 51 million married white women in the United States, less than 1% are married to black men.

Despite this statistical rarity, the digital simulation feels entirely “normal” to the modern consumer because media giants like Google, alongside massive stock photography conglomerates like Getty Images and Shutterstock, consciously and relentlessly curate it that way. This immense disparity between reality is the result of neutral, blind code cataloging human existence. It is an intentional act of social enforcement, by artificially elevating specific demographic pairings, media platforms execute a subtle but pervasive socio-cultural engineering project.

It can thus be argued that this engineered visual output serves a distinct ideological purpose: pushing European women toward demographic change and eroding the visual primacy of the homogeneous nuclear family that built and sustained Western nation-states for centuries. When digital representations are manipulated to consistently overwrite physical realities, a significant ontological shift occurs within the host population. The native majority is conditioned to view their own demographic decline as an organic, inevitable, and morally righteous progression. This forces us to confront the question: If images precede and dictate reality, who is engineering our extinction?

I’m long out of the habit of watching TV, so when the NFL season gets started and I’m presented with three-plus hours per week of commercial TV to watch my favourite team play, I can’t help but notice that most commercials that include representations of married couples are inter-racial or non-white. The advertisers are also presenting a small minority of marriages in North America as being the overwhelming majority in their TV ads. Why might they want to do that?

June 20, 2026

“Every system on display is an answer to a question the war in Ukraine asked out loud”

Filed under: Europe, Military, Russia, Technology, Weapons — Tags: , , , , — Nicholas @ 06:00

Most wars are not significant drivers of technological change and military innovation. The Franco-Prussian War, the Boer Wars, World War 1, and World War 2 are some of the exceptions where the fighting accelerated innovation and adoption of new and untested technologies that were proven or discarded on the battlefield. The Russo-Ukraine war has been going on long enough and requiring new and improved weapons to such a degree that modern arms shows clearly reflect at least some of the technological changes in response to the ongoing combat:

Thales RapidStriker SHORAD, I think. Oddly, what struck me about this image was how much it reminded me of very early WW1 armoured cars, both in general outline and in its being a quick reaction development to a current combat situation.
Photo from Eyes Only with Wes O’Donnell

I was thinking recently about the good ole pandemic days; ah, what a simpler time …

At the time, I was writing for military and cybersecurity magazines about whether NASA spacesuits can be hacked and hypersonic tomfoolery.

Six years ago, a defense expo like this was mostly about better armored boxes. Things like thicker protection, a nicer turret, an upgraded engine, a fire-control system with a new acronym.

The headline acts were tanks and infantry fighting vehicles, things that go very high and very fast, and the unspoken assumption underneath all of it was that war would look roughly like it always had, just with more cowbell.

Then 2022 happened.

Then Operation Spiderweb.

Then a year of Russian glide bombs and Ukrainian refinery strikes and FPV drones turning hundred-dollar quadcopters into tank-killers.

Then the Gulf woke up to Iranian missiles in March. And the entire defense industry got the same text message at the same time, written in other people’s blood.

You can read that message on the Eurosatory floor this year.

Almost every serious system on display is an answer to a question the war in Ukraine asked out loud:

How do I shoot from farther away so I don’t die?

How do I kill cheap drones without going bankrupt?

How do I send a robot instead of a soldier?

How do I keep my tank’s roof from becoming a Thermador pizza oven set to “broil?”

Back then, I also used to write listicles, like “Top Ten Gifts for Veterans!” In that tradition, I’ve put together a hand-picked list of ten weapon systems emerging this year at Eurosatory in Paris, and every one of them is really a story about how much war has changed since 2020.

Bill C-22 passes the Commons “as MPs raced for home for the summer”

Canadian Members of Parliament care more for their summer vacations than they do for the rights of Canadian citizens. While this isn’t really news, it’s just the latest proof that our elected representatives are … well, I was about to describe their moral failings in great detail, but that could get me arrested and jailed if-and-when the many authoritarian measures the Liberals want to enact become law. Instead, here’s Michael Geist‘s summary of the way Bill C-22, the Lawful Access Bill, got sent to the Senate on Thursday night:

Bill C-22, the lawful access bill, passed the House of Commons yesterday with the government invoking a single motion to approve several bills without further debate or individual votes as MPs raced for home for the summer. Bill C-22 will now head to the Senate, where it can expect a rougher ride when study begins in the fall. Rather than use the final days of the House session to answer the privacy, security, and oversight concerns raised by the Privacy Commissioner, academics, technology companies, and civil society groups, the government spent the time ensuring it would not have to, rushing the bill through committee, cutting off debate, and maligning critics with tactics that they once decried when in opposition.

The final days of Bill C-22 in the House marked a genuine abrogation of democratic norms. The government moved a motion to shut down the clause-by-clause study in the Standing Committee on Public Safety and National Security, preventing the committee from adjourning until the bill had been pushed through. That led to a session that stretched past midnight, as MPs were barred from introducing new amendments and were left to vote on amendment after amendment without any discussion, debate, or even public disclosure of their contents. By the end of the committee session, no one could have known the contents of the bill that MPs had duly approved and sent back to the House for final approval. As noted, once back in the House, there was no further debate, discussion or even a vote. Just a motion that said the deal was done.

If the process was troubling, the rhetoric was embarrassing. I wrote earlier this week about Public Safety Minister Gary Anandasangaree’s Vic Toews moment, as he said it was time for opposition parties to “choose” whether to stand with law enforcement and victims of crime (a refrain that sounded a lot like Toews’ 2012 comment to Liberal MP Francis Scarpaleggia, who is now the Speaker of the House, that he could “either stand with us or with the child pornographers”). Government House Leader Steven MacKinnon pushed that posture further on Thursday by dismissing the bill’s critics as wearing “tinfoil hats” engaged in “paranoia.” The charge fits a broader pattern in which this government treats independent privacy scrutiny as an obstacle rather than a safeguard, seen most clearly in the Bill C-36 approach to strip the Privacy Commissioner of authority over private-sector privacy law altogether.

The committee did approve some government amendments to the bill that improve aspects of the lawful access plan but they are still likely to leave companies, security experts, and privacy advocates concerned. For example, the maximum metadata retention period the government can impose drops from one year to six months, and a category of metadata can now be mandated only where the Minister is satisfied that the category and all of its elements are essential to investigations. That is better, but still not good enough as it is not tied to any actual evidence about why six months is needed and both the costs and risks associated with metadata retention, which is not a requirement in the U.S., are largely unchanged.

As The Reclamare explains, this bill is yet another likely irritant in US/Canadian affairs, as it will expose US citizens’ data to Canadian government oversight:

– A USA person creates/maintains a social media account — lets call it “XXX”

– Using its new C22 law, Canadian RCMP develops a “reasonable grounds to suspect” of “XXX” to a CDN investigation (a low investigative hunch standard under C-22).

– RCMP obtains a Canadian judicial authorization (an “Order”) and sends the Social Media company an International Production Request, which is not a USA warrant, not a §2703(d) order, and not routed through full MLAT (Mutual Legal Assistance Treaty) review.

– The social media company is bound by US law (SCA/ECPA), treats the request as a formal foreign inquiry.

– The social media company discloses limited metadata: summary of login IP ranges, account country setting, and other classification signals to prove USA origin

– This disclosure happens at Canada’s “reasonable suspicion” threshold, which is lower and less scrutinized than the US domestic requirement of “specific and articulable facts showing relevance and materiality” under 18 U.S.C. § 2703(d) for the exact same type of data.

– The USA user’s metadata, which would normally enjoy stronger 4th Amendment derived judicial protections, if sought directly by US authorities, is handed to a foreign government on weaker foreign grounds, without the same level of US court filtering or notice that a purely domestic US request would trigger.

– The 4th Amendment protection is effectively diluted because the platform’s good faith compliance with the foreign lower bar creates a new, easier pathway around domestic US constitutional safeguards for accounts that platforms classify as American

Canada’s Liberal government continues to chip away at our “Charter of Rights”, under the guise of “Protecting Citizens” and we are moving towards authoritarianism

While I loathe to create friction, I also hope your Rights can help slow Canada’s devolvement

It impacts you too

June 19, 2026

Nobody voted for this kind of dystopian nightmare, Mr. Carney!

The Liberal Party, having engineered themselves a majority in the House of Commons, are on a speed-run to the kind of dystopian police state we used to read about in science fiction novels:

Millions of Canadians are beginning to see the similarities between communist regimes and the direction of current government policy.

The pattern is always the same.

It begins with noble promises: safety, equality, compassion, protection, the greater good.

It ends with censorship, coercion, surveillance, prisons, ruined lives, and a police state.

Always.

It comes wrapped in slogans, experts, committees, emergency powers, censorship, enemies of the people, and the belief that the state has the right to crush the individual for the greater good.

Consider…

C-2 – Strong Borders Act
C-22 – Lawful Access Act
C-34 – Safe Social Media Act
C-36 – Protecting Privacy and Consumer Data Act
C-9 – Combatting Hate Act
C-25 – Strong and Free Elections Act
S-209 – Protecting Young Persons from Exposure to Pornography Act

All seven are live in the 45th Parliament right now. None has received royal assent yet.

Consider that good, law-abiding Canadians are being gradually and systematically disarmed.

This is not a warning about some distant future.

In 2022 the federal government invoked emergency powers it did not have, froze the bank accounts of citizens over their political views, and banned Canadians from funding a protest. Two levels of court have since ruled it unconstitutional — a violation of the very Charter rights every one of these bills now circles.

That was the trial run. It needed an emergency as the excuse.

The seven bills above are the permanent version — the same reach, made routine — so that next time, no emergency need be declared at all.

A free country is not lost in a single day. It is legislated away in pieces, each one introduced with a reassuring name and defended as necessary, while good people keep assuring themselves it could never happen here.

It already did. The only question is whether enough Canadians notice before it becomes permanent.

Read every bill. Watch every one of them. Because this is the stage where it can still be stopped … and perhaps our last chance.

The Justice Centre for Constitutional Freedoms is trying to get Canadians to pay attention to what just one of these bills will do:

Bill C-34 will affect every Canadian. Age verification. AI regulation. A new Digital Safety Commission. Most Canadians have never heard of it. Here’s what it will do.

Michael Geist posts a Substack Note about bill C-22:

Bill C-22, the lawful access bill, has been reported back from committee and is headed toward passage. There are some amendments, but many concerns remain. The updated bill with changes is at

parl.ca/Content/Bills/4…

There are two changes to metadata retention. First, the maximum retention period the government can impose drops from 1 year to 6 months. Second, it can now mandate a category of metadata only if satisfied the category and all its elements are essential to investigations.

The committee rewrote the definition of systemic vulnerability. A “substantial risk” becomes a “credible risk, based on recognized international technical standards”. But it also added a carve-out: a flaw exposing only a target’s data is not “systemic”.

Added a new section on decryption that says nothing in the Act can be read to compel a provider to decrypt user-encrypted data, unless the provider supplied the encryption and holds the key. Borrowed from US law, but doesn’t fit the same way.

Compliance with ministerial orders is now expressly subject to the systemic vulnerability exception. That addresses a contradiction in the original text, where the duty to comply appeared to be unconditional.

The original bill set no maximum duration on these ministerial orders. This now changes to a two-year cap without the open-ended review-and-extend mechanism.

The amendments will rightly leave many still concerned. Companies considering exiting Canada due to Bill C-22 are unlikely to conclude that it fully addresses their issues. Yet the government is likely to push it through the House today.

June 16, 2026

Universal suffrage has its drawbacks

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

Democracy is a better system than many others that have been tried over the centuries, but it’s far from perfect. Giving everyone the vote sounds like a good idea: you have some small theoretical degree of influence over the people who run the country (note the “theoretical” here). Devon Eriksen points out one of the problems with universal suffrage today:

The problem with universal suffrage is that the more technologically advanced a civilization becomes, the smaller the fraction of people there are in it with the native intelligence to understand how it works.

When the majority of humanity was employed in whacking at the dirt with a pointed stick, and the height of technology was a slightly better pointed stick, anyone with a triple digit IQ could understand what was going on.

Now, we have things like stock markets, the internet, transportation infrastructure, and the Linux kernel, but most people who vote are unable to conceive of these as anything but large piles of chocolate coins, or something else they can put their mouths.

Because that’s how the average monkey interacts with money. They stack the blocks, the research assistant gives them a token, they exchange the token for a banana.

It’s no good trying to explain to the monkeys what supply chain is, or how a trillion dollars worth of rockets can’t magically be converted into a trillion dollars worth of bananas just because they’re both measured in dollars, as if a six-foot man and a six-foot plank of wood were interchangeable.

Finding a slightly different explanation, or getting the monkeys to sit still and really listen, doesn’t really help.

Because the problem isn’t just that the monkeys aren’t paying attention. The problem is that the monkeys are monkeys.

Their brains simply don’t have the developmental capacity to grow the neural connections they would need in order to grasp and manipulate the concept.

In the long term, this is why universal democracy is doomed. Because societies that let retards vote will fail, and be replaced by those that don’t.

You may think that we, as a society, face a great variety of problems. We do not. We have only one. Retards. Every other problem we have is downstream from their inability to understand the consequences of their political opinions.

But to fully grasp the implications of this, you have to understand that the definition of “retard” changes over time, as technology advances, because the IQ level required to grasp what’s really going on gets steadily higher and higher.

Eventually, the category “retard” grows until it includes the average person.

This has already happened.

Nick Knudsen isn’t dumber than the average guy. But the average guy, the 100 IQ salt of the earth guy that’s sitting on the next bar stool over, can no longer understand the modern economy. And this isn’t correctable, because the problem isn’t ignorance, it’s complexity.

You can’t make Nick Knudsen smarter by telling him things. You can’t even make him less ignorant, because the bare facts aren’t believable to someone who doesn’t have the framework to understand how they fit together.

The people who understand what’s going on are so much smarter than him that he doesn’t even think they sound smart.

He thinks they sound crazy.

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 Substackhttps://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

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 10, 2026

To protect under-16s from harmful content, everyone will now need to show their ID online

Australia’s attempt to ban under-16s from accessing social media and other online sites blew up rather quickly. Britain and Canada, seeing what happened down under, chorused “Hold our beers!“:

“Automotive Social Media Marketing” by socialautomotive is licensed under CC BY 2.0

The government is expected to table the Digital Safety Act on Wednesday with reports that it will include a ban on social media for those under 16, framed as a “temporary” measure that platforms can exit once a new digital regulator certifies their safety standards. I have been writing about these issues, from the original Online Harms Act to mandated age verification and website blocking and now the kids’ ban, for several years. This FAQ gathers the analysis in one place, with links throughout to the longer pieces for anyone who wants to go deeper. The key takeaway is that a kids’ social media ban is an ineffective and harmful policy that raises privacy concerns for tens of millions of Canadians through mandated age verification requirements. The policy fails to address the underlying concerns with social media and the prospect of a “temporary” ban makes little sense since the requirement might be reversible, but the data collection and regulatory infrastructure are permanent.

What is the government reportedly about to introduce?

According to the Globe and Mail, the forthcoming bill would bar anyone under 16 from social media. The government will indicate that this is a temporary safeguard with an opt-back-in once a regulator certifies safety standards. The government will frame this as “temporary” measure, but I argue that once established, there is no putting the toothpaste back in the tube given that the policy will require a regulator and proof of age from everyone.

Didn’t this start with Bill C-63, the Online Harms Act? What happened to it?

Bill C-63 was the government’s 2024 online harms bill, and from my first-day take I described it as effectively three bills in one: a defensible set of provisions focused on platforms that featured a duty to act responsibly, more contentious Criminal Code and Canada Human Rights Act provisions, and a powerful new Digital Safety Commission modelled on the CRTC to be funded by the tech companies. My view was that the Criminal Code and Human Rights Act provisions should have been dropped or incorporated into a separate piece of legislation. Bill C-63 itself died on the order paper when Parliament was prorogued ahead of the 2025 election, but the duty-to-act-responsibly model is likely to survive as part of the forthcoming bill.

Why is a kids’ social media ban bad policy?

I set out at least six reasons in this post on the issue. The most important is the first: the harms people associate with social media, such as algorithmic manipulation, addictive engagement design, weak content moderation, inconsistent enforcement, inadequate transparency, and privacy risks, affect users of every age. Treating them as a children’s problem misidentifies both the source of the harm and the right target of regulation. By focusing legislative attention on who is permitted to use social media rather than on how the platforms operate, an age-based ban lets legislators and the companies off the hook from more effective broad-based regulation. The other reasons identified in the post include the absence of evidence that bans work, the privacy harms they create, and the constitutional rights of the children they claim to protect.

Does the ban actually work?

The evidence to date says no. Australia’s under-16 ban took effect in December 2025, and the eSafety Commissioner’s first compliance report found that roughly 70 per cent of children who had accounts before the ban retained access to at least one platform three months later, with no discernible reduction in cyberbullying or image-based abuse complaints from under-16 users. Children route around age gates through VPNs, borrowed accounts, and false birthdates, and the most at-risk users are the most likely to circumvent them. Professor Lisa Given laid out much of this on a Law Bytes episode before most of the data was even in. Canadian politicians now citing the Australian approach with approval are pointing to a model whose own regulator’s data suggests has thus far proven ineffective. At a recent Canada 2020 event in Ottawa, Australian professor Amanda Third confirmed that kids are actively circumventing the ban and indicated that parents are concerned that their children are now less safe.

Doesn’t polling show overwhelming public support for a ban?

The headline number is real but misleading. The March 2026 Angus Reid Institute survey found that three-quarters of respondents support a full ban on social media for those under 16, and politicians have cited it repeatedly. But as McGill’s Sara Grimes documented on this Law Bytes podcast episode, the less-quoted numbers in the same survey complicate the picture: 72 per cent said parents, not governments, should be primarily responsible for regulating teens’ social media use, only 32 per cent picked 16 as the right threshold, and the survey did not ask respondents anything about the mechanism any ban would actually require. Simply put, public support for “protect kids from harm” is not the same as public support for “every Canadian must submit ID to a third-party provider in order to use the internet”.

Hasn’t social media been proven harmful to kids?

The data on social media harms to kids is far more mixed than is often portrayed in the media and in Jonathan Haidt’s Anxious Generation book that has fuelled much of the legislative panic. Grimes has produced a very accessible explainer on the issue that walks through the science. As she notes in Panic First, Evidence Later, “there is a serious problem. Researchers who have spent their entire careers studying adolescent mental health, children’s digital media, developmental science, and media psychology – the people who actually built the evidence base Haidt draws on – have raised sustained, substantive objections to his core claims.”

Read all of Michael Geist’s FAQ here.

June 6, 2026

Brave browser users and X’s latest algorithm changes

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

While I use the Brave web browser, I don’t access the social media site formerly known as Twitter with it, so I haven’t seen the described behaviour, thank goodness:

Recent algorithm changes on X may be unfairly hammering Brave users. And there’s a larger issue here about bad interactions between robots and privacy measures.

@nikitabier
@brave

My friend Jay Maynard, who some of you may know as Tron Guy, just got permabanned off X for “inauthentic behavior”. His appeal was swiftly denied.

Jay is not a spammer, scammer or engagement farmer; he is, in fact, exactly the kind of good citizen X says it wants. Jay asked Gemini for analysis, and now thinks he knows what happened.

Brave, as a privacy measure, randomly changes the identity presented to sites in order to avoid tracking by the ad vampires. Gemini suggested that some code at X interpreted this as spammy behavior using multiple browsers. If so – and this does seem plausible – everybody trying to protect their privacy with Brave is at risk.

This is a general problem, not just an X glitch or a Brave issue. Social media sites are increasingly relying for security on forms of heuristic AI that are prone to unacceptably high false-positive rates.

More specifically, platforms are increasingly treating a user’s refusal to be tracked, fingerprinted, and categorized as a hostile act. When a site makes it impossible to connect via a privacy-focused user agent without getting flagged as a malicious bot, it stops being “security” and effectively becomes a retaliatory lockout for protecting oneself.

Worse yet, such system architecture provides no circuit breaker – humans are only rarely and exceptionally asked review for errors. Jay’s appeal denial came back so fast that it was obvious no meat-brain ever saw it. He has filed complaints within the Minnesota Attorney General and the Better Business Bureau, because what else can he do? The robots have locked him out.

Badly designed robots and zeal to squeeze human oversight out of the system forces regular citizens to rely on state law enforcement or consumer protection bureaus.

Allow me to gently suggest to the people running X that unless you want politicians poking their noses into your business and imposing constraints on you that you are not going to like, you need to fix your security and appeal processes so running to the law isn’t necessary.

June 5, 2026

Canada’s AI “strategy”

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 3, 2026

“… basically it’s a plan to make power more expensive while campaigning on affordability”

John Robson examines a few of the ways the Ontario government (and other provincial and state governments) frames what they call “affordability”, yet somehow it always seems to cost more afterwards and nobody is ever held responsible:

In many areas of life, the devil is famously in the details. And it presents both an opportunity and a frustration because there is so much out there deserving readers’ attention that you can’t even follow it all let alone cram it into a newsletter. Including former banking executive Parker Gallant‘s vigilance about the absurdities of the power system in the Canadian province of Ontario that the aspiring Conservative premier Doug Ford promised to fix in the 2018 campaign and then has smugly done nothing about. These things might seem uninteresting if you do not live in Ontario … until you realize it’s just as bad wherever you live. And when we say bad we mean both the cost and the deviousness with which it is presented to, or hidden from, the public. On this very point we like to quote the late great P.J. O’Rourke that “Beyond a certain point complexity is fraud … when someone creates a system in which you can’t tell whether or not you’re being fooled, you’re being fooled.” Which brings us to the shiny new buzzword “affordability” which refers to policies that make everything more expensive and the beneficiaries hide the fraud in tangles of complex bureaucracy.

If you want to get a headache, stay with us while we explain what it is that Gallant tracks. Ontario has what they call the “Independent Electricity System Operator” so politicians can claim whatever disaster is unfolding isn’t their fault. Sure, they make the laws and oversee the creation of the regulations. But heck, these things are “arms’ length” and “impartial” and independent and expert and wise and wonderful so shut up.

Including this nutty system where the province buys power we don’t need at grossly inflated rates from wind and solar virtue-signallers and then sells the surplus at deep losses to the neighbouring province of Quebec and some American states including New York and Michigan. So he looked in depth (we promised a headache) at just half a day, May 19, 2026, because a post by another of the people who keeps an eye on this stuff for the benefit of an indifferent or baffled populace alerted him to something fishy in the IESO forecast of generation by Industrial Wind Turbine operators. But it seems to be hard to find out exactly how much the taxpayers, via this wonderful “Independent” system with its hand in their pockets via the arm of the state, actually paid these IWTs not to produce power.

Paid them what? Yup. It’s how it works. And the idea is that if they didn’t produce the original forecast rather than the revised one we’d have had to pay them even more for what they didn’t do. Weird even by the standards of government. And expensive. As Gallant sums it up:

    The net result is that those IWT cost us Ontario ratepayers almost $2.6 million for NOTHING over just the first 12 hours but we should rest assured the IWT owners loved it!

You read that right. The citizens of Ontario paid $2.6 million to the energy producers of the future not to produce energy in the present in just half of one day. If it were typical, it would be over $5 million a day times 365 days in the year so yes indeedy folks nearly $2 billion a year.

[…]

He then looks at various efforts to try to figure out the cost to consumers, including one by “my friend Roger Caiazza (the Pragmatic Environmentalist of New York)” based on the auction price of “allowances” in March 2025:

    Roger’s conclusion at that time was that the RGGI auctions were adding about $8-11/MWh to the wholesale cost of electricity, for electricity produced by natural gas. That would mean an addition of about 1 cent/kWh on a consumer’s bill. A penny may not seem like much, except when you realize that the average price in the country is less than 18 cents/kWh, so the penny is about 6%.

Imagine if people knew. As he concludes:

    remember that the structure of the program is that the amount of allowances goes down every year and the price is intentionally driven up. And data centers are going in all over the place. And the Northeastern states have refused to build new power plants for a couple of decades now in the midst of the climate hysteria. So the 10-15% extra cost being experienced now is only the beginning of much worse to come. The worst part of the RGGI ‘cap and invest’ scheme is that the consumers get absolutely nothing for the increased cost. It is just a gratuitously inflicted injury brought about by completely artificial scarcity. Keep this in mid when you hear a politician from an RGGI state talking about how they care about energy ‘affordability’.

Or, we add, transparency. Or accountability.

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.

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