Thank you, Bonaventure for taking the time to clarify this. We have to move away from slogans and one-liners to understand the nuances of what is being proposed. Having healthy debates, and discussions are always welcome to clarify.
1/ The misinformation circulating about Canada’s new Express Entry changes is getting ridiculous. Canada is NOT handing high-paying jobs to immigrants. Please stop confusing immigration selection with employment.
2/ Here’s what IRCC actually announced: candidates with qualifying Canadian work experience or job offers in certain high-wage occupations may receive additional points toward permanent residence. That’s it. Additional points. NOT guaranteed selection. NOT guaranteed PR. And certainly NOT guaranteed employment.
3/ Someone working in AI, engineering, healthcare, or another eligible occupation may receive more points because Canada wants to attract and retain talent that can contribute to its economy. But that person still has to meet immigration requirements, compete for an invitation, and go through the application process. Even after obtaining PR, nobody is handing them a job. They still have to compete in the labour market like everyone else.
4/ And since we’re talking about immigrants supposedly “taking jobs,” let’s look at who is doing some of Canada’s most essential work. According to Statistics Canada, immigrants and non-permanent residents made up 44.8% of nurse aides, orderlies, and patient service associates in 2021. These are people caring for patients, supporting elderly residents, and doing physically and emotionally demanding work that keeps our healthcare system functioning.
Source: www150.statcan.gc.ca/n1/dail…
5/ Many immigrants work long hours in these essential sectors, sometimes while studying, supporting their families, or rebuilding their careers in a new country. Their contributions matter just as much as those of immigrants working in AI, medicine, or engineering. You cannot celebrate their labour when it’s convenient and then portray them as a threat when they become eligible for better economic opportunities.
6/ Of course, we should debate immigration policy. We should question the removal of LMIA requirements, labour-market priorities, and whether these changes will deliver the intended economic benefits. But those debates should be grounded in facts. Canadian graduates struggling to find employment is a legitimate concern. Blaming immigrants through a misleading interpretation of Express Entry is not a solution.
7/ Immigration is not a government program that distributes jobs to newcomers. Express Entry determines who may be invited to apply for permanent residence. Employers determine whom to hire. These are different processes. We can have serious conversations about immigration, employment, and Canada’s economy without turning immigrants into scapegoats. Criticize policies. Debate their consequences. But please stop spreading misinformation.
Nabil Beitinjaneh retweeted
Prime Minister Carney launches new National Council on Artificial Intelligence: pm.gc.ca/en/news/news-releas…
Nabil Beitinjaneh retweeted
Is Mythology the Key to Understand AI?
We discuss the myths of Pygmalion, Pandora, Narcissus, Midas, and some Gilgamesh on the Imaginary Worlds Podcast.
imaginaryworldspodcast.org/e…
This is hilarious. I wish we had two digital twins conversing and feeding off each other…
EXCLUSIVE: AI actress Tilly Norwood glitches and starts speaking CHINESE during her interview with Piers Morgan and real-life actor Tom Conti...
Watch the full interview at 7pm (BST)👇
📺 youtube.com/piersmorganuncen…
@piersmorgan | @TillyNorwoodX
We started with cognitive offloading. Then came workload offloading. The first costs our judgment. The second costs everyone else.
Lazy work used to mean too little output.
Now, with AI, it often means too much and more work for everyone else.
@tobi call it "slop grenades."
A "Slop Grenade" is when you let AI produce the work and pass it on without adding any value (including checking it).
Someone else has to wade through it, catch the mistakes, and clean up the mess.
You save time and look productive but someone else pays for it.
Why retirement for the sake of retirement does not work. We definitely need projects and challenges.
Your "happy place" is a gilded trap designed to turn you into an intellectual vegetable.
A short thread on why endless vacation, passive contentment, and the modern obsession with happiness are killing human drive 🧵👇
1/ Most people think the ultimate life goal is straightforward:
Work hard
Get rich
Retire early to sip rosé on a yacht in the South of France
We've turned tranquil numbness into the pinnacle of existence.
It’s completely wrong.
2/ Schopenhauer called this out centuries ago.
He pointed out that human beings are trapped between two brutal poles: pain and boredom.
Once you successfully escape pain, you don't find nirvana. Your brain immediately starts whirring, desperate for friction.
3/ What happens when high-functioning minds get bored?
They don’t just relax. They self-sabotage.
They gamble, start pointless drama, pick fights, and blow up their lives just to feel something.
A sun-drenched beach isn't paradise—it’s an incubation chamber for neurosis.
4/ Simone de Beauvoir took the critique even deeper.
She warned against becoming an être-en-soi ("being-in-itself").
This is the curated doll life: static, pretty, performative, and entirely confined by what society expects you to look like.
You trade your agency for effortless comfort.
5/ What you actually need isn't peace—it's a "Project."
Beauvoir called this être-pour-soi ("being-for-itself").
It’s an active stance toward reality. You reject prefabricated molds, accept friction, and construct your own meaning out of thin air.
It won't make you feel calm. It will make you feel alive.
6/ Nietzsche had the darkest warning of all: The "Last Man."
He saw modern culture becoming obsessed with drone-like satisfaction:
Tiny, safe pleasures for day and night
"A little poison now and then" for entertainment
Zero appetite for vast ambition or dangerous creation
7/ When Zarathustra warned the crowds about the Last Man, they didn’t gasp in horror.
They begged for it: "Give us this last man! Make us comfortable!"
Sound familiar? That’s 90% of your feed preaching "soft life" aesthetics and frictionless living.
8/ Rest if you need to. Savor the beach, drink the wine, recharge the battery.
Just don't build a house there.
Meaning doesn't live where you are comfortable—it lives out on the edge where you risk failure.
Turn your happy place into a rest stop, not a permanent retirement home.
Nabil Beitinjaneh retweeted
.@hugo_larochelle is one of the best AI minds Canada has produced.
Denoising autoencoders. Google Brain Montreal. He described prompting in a paper in 2008.
He now runs @Mila_Quebec, succeeding @Yoshua_Bengio.
Read about him in our latest profile. The Invention of Hugo Larochelle. Link in replies.
Nabil Beitinjaneh retweeted
The 3 reasons why AI won't reduce clinician jobs:
—Jevon's paradox (more efficiency, more use)
—"Lump of labor" fallacy (the type of work changes)
—Tasks ≠ Skills
@NEJM @DhruvKhullar
nejm.org/doi/full/10.1056/NE…
Nabil Beitinjaneh retweeted
🚨Why are so many students struggling with math?
CBC just released an audio documentary on math education in Canada - a bit like a mini Sold a Story for math. They cover a lot in 25 mins: problems with education research, where math instruction has gone wrong, what needs to change.
Please have a listen 🎧
cbc.ca/listen/live-radio/1-6…
Nabil Beitinjaneh retweeted
New Pisa data pours cold water on the notion that AI in the classroom will make kids smarter… on average children who use AI to do tasks in class perform 20 points worse than kids who don’t
Nabil Beitinjaneh retweeted
If you really want to understand where the world is at and where it's going, you probably cannot get anything more meaningful than the OECD's PISA study - a global test given every 3 years to an insane 760,000 15-year-olds across 91 countries.
No report globally, by any institution, better captures whether countries are building or squandering their future.
The latest PISA results just came out yesterday (oecd.org/en/publications/202…) and the results are genuinely fascinating, and in some way pretty depressing.
Why depressing? Because, sadly, the numbers show that the world is getting dumber: as you can see on the first graph below 👇, since roughly 2012 scores in science, reading, and mathematics have been in continuous decline across OECD countries.
The reading score is particularly concerning: it literally cratered, dropping 28 points since 2015, the equivalent of almost 1.5 years of schooling lost according to the report.
To make matters even worse, the reading skill that's dropped the most across the board is precisely the one we most desperately need: the capacity to critically assess what you read, cross-reference sources, and tell signal from noise.
On average, sadly, 15-year-old kids globally are - more and more - incapable of slowing down and actually thinking about what they're reading.
Interestingly though, when you look into the details, this great "dumbing down" isn't across the board: it's overwhelmingly concentrated in wealthy Western countries, while many developing countries are actually getting significantly smarter.
For instance rich countries like Finland, the Netherlands, and Norway are in freefall, while countries like Cambodia, Türkiye, and the UAE are posting big gains.
To be clear, this doesn't mean that developing countries are now "smarter" than rich ones: save for one notable exception, that's still not the case. But they are catching up fast, both because rich countries are getting "dumber" and because they're themselves getting smarter.
The one exception is, as you'd expect, the "smartest" of them all, by a huge margin: China.
It is pretty much in a league of its own: just look at the ranking in the table (only kids in Beijing, Shanghai, Jiangsu and Zhejiang got tested - 4 regions covering 200 million people).
China's maths results are particularly insane: according to the report, the best level in maths - level 5, where "top performers" begins - starts at 607. The AVERAGE kid in China is 612: "normal" Chinese kids are at a level that is considered elite in the rest of the world.
In fact, and that's probably the funniest number in the entire report, look at the column called "Share of low performers in science, reading and mathematics": China is only at 1.8% 😅
Which means that only 1.8% of Chinese kids are rated as low performers in all 3 subjects, almost a rounding error. Even Singapore, the second best and generally considered best-in-class in education, is at 6.8% - almost 4 times worse. My country France, is at 21.3% - almost 12 times worse 😢
All of this - incidentally - dispels the common myth that there would be some kids who are just genetically beyond redemption and simply can't be taught: China proves that with the right system, virtually every child can reach proficiency.
So what does this all say about the world and where it's going, besides the fact that, if the future belongs to those who can think, China has never been better positioned to own it?
I think the more general picture is this: there is nothing inevitable about any country's trajectory.
Finland was the world's education darling fifteen years ago - now it's in complete freefall (see the last graph 👇). Cambodia was at the bottom of every table - now it's posting the biggest gains ever recorded in the study. What changed wasn't the children: it's still Finnish kids (Finland has one of the lowest levels of immigration in the West), and it's still Cambodian kids.
It also doesn't matter much - or at least it matters less - if a country is wealthy or not. For instance in Southeast Asia, both Malaysia and Indonesia - the 2 biggest ASEAN economies after Singapore - are faring very badly, while Thailand and Vietnam, both poorer, have better educated kids whose scores are continuing to improve.
So that's the final takeaway: the kids don't change, they all have potential, always, as China's 1.8% proved.
What does change is what adults decide to do with that potential. It's both hopeful - because it means any country can choose to turn things around at any time - and also sad given the results - because it means so many countries are choosing to fail their children.
Nabil Beitinjaneh retweeted
Bombardier: «Les acheteurs aux É.-U. ne seront pas de bonne humeur», selon un expert.
Donald Trump veut interdire la vente aux É.-U. des avions de Bombardier. Quels impacts sur ce fleuron canadien ? Analyse de John Gradek, expert de l’Université McGill.
Nabil Beitinjaneh retweeted
For a decade I've said AI will create a jobs boom, not an apocalypse.
And here it is, in the numbers.
The Green Revolution strikes again.
It's always easy to see what will change and disappear and almost impossible to see what will replace it, as the Universe continues its endless process of evolution at all levels. Try to explain a web developer to an 18th century farmer and it's impossible because it's built on the back of dozens of unforeseeable inventions that the farmer can't possibly imagine.
But the fear people persist. Making podcasts. Paying influencers to foment fear and rage. Writing books. Pushing videos at you.
Reality will not change their mind or dark hearts or their seething internal hate.
Fear leads to anger, anger leads to hate, hate leads to suffering.
Population Bomb style fear people are persistent, full of rage, unable to change their mind and cling desperately to their existing belief structures in the face overwhelming proof of the opposite as if it's a virtue.
It's a mental disease.
And if pessimism is left unchecked it can create a societal level mental disease as fear and rage take hold and create a storm that crashes the economy, gets people killed and brings the worst and most evil people to power to enact policies that lead to ruin.
If you can't evolve your thinking over time as new information comes in, you're the definition of a fantatic, someone who can't change their mind and won't change the subject.
I've changed mine over the years. Thirty years ago I thought the jobs apocalypse was coming. I've been thinking about this a lot longer than most people on Earth. When I was a young, inexperienced artist I wrote a short story called In the Cracks of the Machine where labor robots unleashed an unprecedented wave of unemployment as companies adopted them all at once. It's sparked a vicious populist backlash and a wave of collective insanity.
I got the populism and insanity right. These two phenomenons are always untethered from reality and need no actual grounding to foment rage and create political storms.
Reality will not change people's minds. They'll just dig in further and get more furious. Delusion is remarkably resilient in the face of reality.
But have no fear. Let go of hatred, fear, worry and doubt.
Change and adaptation is eternal and forever. Evolution is eternal.
The stack of new frontiers and problems to solve is infinite with Star Trek level computers you just talk to.
It's time to boldly go where no one has gone before.
The jobs apocalypse is postponed. An AI jobs boom is here
According to @TheEconomist, AI is actually proving to be a net job creator in the US, easily generating over 1M new positions (from data center construction to AI engineering) to offset back-office layoffs.
While routine admin and customer service roles face real disruption, the overall labor market is proving resilient.
economist.com/finance-and-ec…
Nabil Beitinjaneh retweeted
“To have passengers sit on the airplane for three hours is not what I would call prompt evacuation. To me, looking at it, it’s dangerously slow.”
The reported three-hour wait passengers faced before leaving an Air Canada jet that veered off a taxiway at Montreal’s Trudeau airport on Thursday is one of the most concerning aspects of the incident, according to McGill aviation expert John Gradek.
Read the latest ➡️ montrealgazette.com/news/con…
Nabil Beitinjaneh retweeted
the destruction of American education over the past decade is an incredible self-own
competence is objective. a child can either do the math or they can’t. but in the u.s., a lot of people have reasons not to say that!
parents don’t want to hear their kid is struggling. teachers don’t want scores used to manage them. districts don’t want embarrassment. progressives worry accountability will create inequity. conservatives don’t want federal authorities. so we end up with process, weak standards, and excuses to explain away bad outcomes.
people object that it’s phones, covid, demographic change.
ok! but we fail globally when others have phones, covid too — vietnam is much poorer than the u.s., yet performs well in international math comparisons. some countries treat math as a basic skill everyone needs to master. here, it is part of a fight about fairness, autonomy, and feelings
in the age of AI — if people can’t do basic math, read closely, or think through problems, ai won’t make them more capable. it will become something they rely on without understanding. the countries that come out ahead in the global race won’t just have better technology. they’ll have people who know how to use it, question it, build on it. we need the national ability to decide something is worth doing coherently (teaching math!)
the US has the money to teach math well but it has not shown the will. we are failing the next generation
Nabil Beitinjaneh retweeted
Vibe coders everyday struggle in 15 seconds.
Readers added context they thought people might want to know
The original creator of the video is Nathan Doan, from Nathan Doan Comedy on YouTube, and the present watermark is not affiliated with him. The video is stolen and will result in losses for the original creator.
youtu.be/83cDUAJnyR4
An algorithmic whispernet! Once rejected, you are rejected throughout tge network of companies that use the algorithm
Stanford researchers proved you are not being rejected by 10 companies. You are being rejected by one algorithm 10 times.
Your score is stored for 330 days. Every company that uses the same vendor sees the same number. They call it the algorithmic blackball.
Researchers at Stanford HAI, Chapman University, and Northeastern University published the largest audit of AI hiring algorithms ever conducted.
The paper is called "Algorithmic Monocultures in Hiring." Published at FAccT 2026, May 26. The data came from Pymetrics, the AI hiring platform used by major Fortune 100 companies.
Here is what they found.
When you apply for a job at a company that uses Pymetrics, you play a series of assessment games. Your scores are stored. For up to 330 days. If another company also uses Pymetrics, your application is evaluated using the same stored scores. You are not getting two separate evaluations. You are getting the same score twice.
If the algorithm rejects you once, it rejects you everywhere.
The researchers call this the "algorithmic blackball." One bad score locks you out of every company that shares the same vendor. You never find out why. You never get a second chance. You just stop hearing back.
They ran a large-scale simulation using real applicant data. The result: over 40,000 job advances were lost because applicants who would have succeeded at one company were screened out by an algorithm calibrated for a different one.
Then they measured who gets hit hardest.
25.87% of Black applicants were routed into algorithmically discriminatory hiring processes. 14.74% of Asian applicants. These are not hypothetical projections. These are rates measured in deployed, real-world hiring systems used by some of the largest employers on earth.
The same algorithm. Applied across companies. Producing the same racial disparities at every one of them.
This is already in the courts. Mobley v. Workday is a federal class-action lawsuit alleging that AI hiring tools systematically discriminate against older, Black, and disabled applicants. The case is ongoing.
In Europe, the EU AI Act classifies hiring algorithms as high-risk AI systems by default. Compliance requirements take effect August 2, 2026. Weeks away.
In the United States, there is no equivalent federal law.
The researchers make four recommendations. Measure adverse impact at the position level. Strengthen cross-employer surveillance. Monitor risks from algorithmic concentration. Create legal pathways for independent researchers to access hiring data.
The last one carries an implicit warning. This study was only possible because Pymetrics voluntarily shared its data. Most vendors would prefer their algorithms remain opaque.
The next time you apply for a job and never hear back, the rejection may not have come from a human. It may have come from a score you received 330 days ago, at a company you have already forgotten, for a role that had nothing to do with the one you just applied to.
Nabil Beitinjaneh retweeted
Cosmic Collision in Progress: Meet the Butterfly Galaxies!Behold NGC 4568 and NGC 4567 — two majestic spiral galaxies caught in a slow-motion tango that offers a stunning preview of what awaits our own Milky Way and Andromeda in the distant future.Right now, these graceful “Siamese Twins” (or Butterfly Galaxies) are brushing against each other, their spiral arms distorted by powerful tidal forces. In roughly 500 million years, they will fully merge into a single, massive elliptical galaxy.Key Details:Distance from Earth: ~60 million light-years
Location: Virgo Cluster, in the constellation Virgo
Apparent Magnitude: NGC 4568 (10.9) • NGC 4567 (11.3)
This breathtaking scene shows star formation exploding in the overlapping regions, with glowing pink star-forming clouds lighting up where the galaxies collide. It’s a living laboratory of galactic evolution happening before our eyes.Just like this pair, our Milky Way and Andromeda are destined for a similar dance billions of years from now — a dramatic merger that will reshape our night sky forever.What fascinates you most — the beauty of the collision, the glimpse into our galaxy’s future, or the raw power of gravity at cosmic scales? Drop your thoughts below!
Credit: NASA / ESA / NOIRLab / Gemini Observatory (and amateur astrophotographers who capture this pair beautifully)
Nabil Beitinjaneh retweeted
A new report shows that 30% of Berkeley Calculus students are severely underprepared.
These students have “non-passing rates as high as 46%.”
From 2021-2023, “over 800 students (or 24% of the total population) did not pass their Calculus I classes.” Of the 500 among them who were tested for proficiency,
“-63.6% came from the proficiency tier with severe preparation deficiency (0-2);
-30.2% came from the proficiency tier of underprepared students (3-6);
-6.2% came from the proficiency tier of prepared students (7-8).”
“Obscuring these preparation gaps does not provide access; it provides a near-guaranteed introduction to failure for our most vulnerable students.”











































