Showing posts with label Education. Show all posts
Showing posts with label Education. Show all posts

Sunday, May 17, 2026

Gen Z Is Pioneering a New Understanding of Truth

Previous generations inherited relatively stable systems for determining what was real: newspapers, universities, scientific institutions, courts, and professional journalism. Those systems were imperfect and often exclusionary, but they provided shared reference points. Gen Z has inherited something fundamentally different: an information ecosystem where truth is increasingly shaped socially, emotionally, algorithmically, and now synthetically through AI.

As journalist Maria Ressa warned in her Nobel Prize acceptance speech, "Without facts, you can't have truth. Without truth, you can't have trust. Without trust, we have no shared reality, no democracy."

But Gen Z may already be building something to replace what's been lost. Not institutions. Not gatekeepers. A distributed, socially negotiated sense of who earns the right to be believed. They're not abandoning truth. They're auditing who gets to deliver it.

That verdict, built by millions of young people navigating this system together, is already in.

by Steven Rosenbaum, Wired |  Read more:
Image: Darrell Jackson; Getty Images

Something Big Is Happening on Campus

I get to visit about two dozen campuses every year, and I meet at least a few teachers like Montás at each of them. I can generally spot the ones with the pure disease, the ones with that raw teacher-fire. Usually, they had some experience early in life when they fell in love with learning. This love then became a ruling passion, and now they fervently seek to share it with their students in the classroom. You can find them at Ivies and at community colleges, at big state schools and small liberal-arts colleges. They are a part of what’s going right in American higher education, the part that critics (like me) don’t write about enough.

These teachers talk of their vocation in lofty terms. They are not there merely to download information into students’ brains, or to steer them toward that job at McKinsey. True humanistic study, they believe, has the power to change lives. They want to walk with students through the biggest questions: Who am I? What might I become? What is this world I find myself in? If you don’t ask yourself these questions, these teachers say, you risk wasting your life on trivial pursuits, following the conventional path, doing what others want you to do instead of what is truly in your nature. If society doesn’t offer this kind of deep humanistic education, where people learn to seek truth and cultivate a capacity for citizenship, then democracy begins to crumble. “What I’m giving the students is tools for a life of freedom,” Montás says.

These great teachers are the latest inheritors of the humanist tradition. Humanism is a worldview based on an accurate conception of human nature—that we are both deeply broken and wonderfully made. At our worst, humans are capable of cruelty, fascism, and barbarism that no other mammal can match. On the other hand, deep inside of us we possess fundamental longings for beauty, justice, love, and truth, which, when cultivated, can produce spiritual values and human accomplishments breathtaking in their scope.

Life is essentially a battle between our noblest aspirations and our natural egotism. Humanistic education prepares people for this struggle. Yes, schooling also has a practical purpose—to help students make a living and contribute to the economy. But that practical training works best when it is enmeshed within the larger process of forming a fully functioning grown-up—a person armed with knowledge, strength of judgment, force of character, and a thorough familiarity with the spiritual heritage of our civilization. Preprofessional education treats people solely as economic animals; humanistic education also treats them as social and moral animals.

Humanistic teachers do this by ushering students into the Great Conversation—the debate, stretching back centuries, that constitutes the best of what wise people have thought and expressed. These teachers help students encounter real human beings facing the vital challenges of life: Socrates confronting death, Sun Tzu on how to manage conflict, Dante in love, Zadie Smith on living in the boundary between different identities. The Great Conversation represents each generation’s attempt to navigate the dialectics of life, the tension between autonomy and belonging, freedom and order, intimacy and solitude, diversity and cohesion, achievement and equality. The Great Conversation never ends, because there are no final answers to these tensions, just a temporary balance that works for a particular person or culture in a particular context.

By introducing students to rival traditions of thought—Stoicism, Catholic social teaching, conservatism, critical race theory—colleges help students cultivate the beliefs, worldviews, and philosophies that will help them answer the elemental question of adulthood: What should I do next? By introducing them to history and literature, colleges arm students with wisdom about how humans operate, which is handy knowledge to have. They offer them not only life options but also, more importantly, the ability to choose among them. “Any serious human problem is a hard problem,” Andrew Delbanco, who teaches at Columbia, told me. “The fundamental obligation of a humanities teacher is to try to develop in students an allergy to ideology and certainty. To acknowledge self-doubt.”

But humanistic education is no mere intellectual enterprise. Its primary purpose is not to produce learned people but good people. When teachers do their job, they arouse in their students not only a passion for learning but also a passion to lead a life of generosity and purpose. “The correct analogy for the mind is not a vessel that needs filling, but wood that needs igniting—no more—and then it motivates one towards originality and instills the desire for truth,” Plutarch observed many centuries ago.

Teachers do this by making excellence attractive to the young—excellent lives, excellent ideas, excellent works of art, commerce, and science, and, above all, excellent ideals. The students who are captivated by these ideals find some cause to advance, some social problem to address, some business to start. When confronted by inspiring ideals, many students say: I care intensely about this, I want to orient my life around this. It’s not only their minds that have been refined but also their desires and ambitions. In a true humanistic education, the French philosopher Jacques Maritain wrote, “the shaping of the will is thoroughly more important to man than the shaping of the intellect.”

Preprofessional education is individualistic and selfish. Such students learn to ask: How can I outcompete my peers and beat them up the ladder to success? In a humanistic program, by contrast, groups of people gather to form communities of truth, to reason together, to explore life together, to pool their desires and seek the common good.

I find that students flock to humanistic teachers who radiate a sense of urgency. They tell students: We are doing something important here. College is not just frat parties and internships; it’s potentially the most important four years of your life. You can emerge either an anesthetized drone or a person fully curious, fully committed, and fully alive.

I know this kind of education can have this effect because it is the education I got decades ago at the University of Chicago. I knew I could never be as learned as the professors I encountered, but their passion for large topics and great books seemed so impressive to me. I yearned with all my soul to understand the world as best I could, to embark on a lifelong journey of growth. Whatever my ample failings, that yearning, kindled in those classrooms with those books and those teachers, has never gone away. I stumbled unknowingly into a humanistic education, because it was the only college I got into, but I can tell you, it totally worked on me.

Today, the teachers I’m talking about tend to feel like dissidents within the academy, like they are doing something countercultural. That’s because at most schools, humanistic education has been pushed into the remote corners of academic life. It’s not that people woke up one morning and decided to renounce the humanistic ideal, it’s just that other goals popped up. It was easier to fundraise for them, easier to sell them to tuition-paying parents. The idea of forming students into the best version of themselves sort of got left behind. [...]

Mark Edmundson also grew up in a working-class family, in Medford, Massachusetts. He got into college, something no one else in his family had done, and told his father that he might study prelaw, because you could make a decent living as a lawyer. His father, who had barely graduated high school, “detonated,” Edmundson later recalled. You only go to college once, his father roared, you better study what genuinely interests you. The rich kids get to study what they want, and you are just as good as any rich kids.

Edmundson soon encountered Sigmund Freud and Ralph Waldo Emerson. “They gave words to thoughts and feelings that I had never been able to render myself,” he wrote in his book, Why Teach? “They shone a light onto the world, and what they saw, suddenly I saw, too.” Edmundson now teaches poetry and literature at the University of Virginia.

“To get an education, you’re probably going to have to fight against the institution you find yourself in—no matter how prestigious it might be,” Edmundson once told an audience of students. “In fact, the more prestigious the school, the more you’ll probably have to push.”

The forces arrayed against humanistic learning are many:

by David Brooks, The Atlantic |  Read more:
Image: The Atlantic: Source: Laurie Michaels/Bridgeman Images
[ed. Contrast this with someone (below), who believes that colleges should be modeled after OnlyFans, and that hyper-specialization ("edge" degrees where AI will supposedly be less adept) are the future. I know which curriculum I'd choose.]

Saturday, May 16, 2026

Why the Future of College Could Look Like OnlyFans

Last week, I asked whether, as a forty-six-year-old father of two, I should keep contributing to my children’s college funds, or if perhaps some combination of anti-establishment fervor, A.I., and a shifting economy could save me some money. I don’t have a particularly good answer yet, at least not one good enough to inspire the purchase of a midlife-crisis car, my son’s and daughter’s futures be damned. But, after wrestling with that query in Part 1 of what will be a series of articles, I think there may be a better one to ask. The question is not, I think, “How will A.I. change higher education?” but rather “What irreversible changes have already taken place, and how will colleges and universities respond to them?”

I wanted to talk with someone who stood outside the polite consensus which holds that college as we know it will survive, if only because, as I wrote last week, humans will always want to differentiate their children from other people’s children. Hollis Robbins, a professor of English and a special adviser in the humanities at the University of Utah, and the former dean of arts and humanities at Sonoma State University, has been writing about A.I. and higher education for years on her Substack, “Anecdotal Value.” Through her writing on the subject, her own experiments with A.I., and her experience at both élite private and regional public universities, she has hashed out a theory of sorts. In Robbins’s opinion, an excessively bureaucratic, increasingly generic, and poorly taught version of higher education has taken hold around the country, and that has made the modern university seriously vulnerable to an A.I. takeover.

What can academics do about this? College, Robbins believes, should be more bespoke; schools should cultivate their own character based on the charisma of professors, the novelty of their inquiries, and the quality of their instruction. Today, thanks in part to the Common Application and to the always increasing pressure for students to go simply to the most prestigious college they can, even élite schools are becoming interchangeable. Brown and the University of Chicago have roughly the same pool of students as, say, Vanderbilt, or Georgia Tech. And, once the unique essence of a school has been lost, and the curricula have been standardized for maximum friendliness to students, who are treated as customer kings, A.I. may come to seem like a plausible alternative. In this view, rampant A.I.-assisted cheating, rapidly declining faith in the value of a college education, and general agita on the part of the nation’s faculty are all symptoms of a larger sickness: an academy that has been stripped of everything that once made it special. [...]

In a widely discussed Substack post from last year, titled “It’s Later Than You Think,” Robbins argued that artificial general intelligence would require a culling of sixty to seventy per cent of the country’s professors, and that every professor who wanted to keep their job should write a memo answering the question “What specific knowledge do I possess that AGI does not?” Faculty members who could not produce a compelling memo “with concrete defensible answers,” she wrote, “have no place in the institution.” The university in the age of A.I. will be leaner, odder, and more differentiated from its peers, she maintains, because “students cannot be expected to continue paying for information transfer that AGI provides freely.” Instead, they will “pay to learn from faculty whose expertise surpasses AI, offering mentorship, inspiration, and meaningful access to AGI-era careers and networks.” Any institution that does not adapt will die. “This isn’t a mere transformation but a brutal winnowing,” Robbins writes. “Most institutions will fail, and those that remain will be unrecognizable by today’s standards.”

I recently asked Robbins about how she came to this conclusion, and what, exactly, those surviving institutions might look like. This interview has been edited for length and clarity.

You’ve written a lot about how the modern university has primed itself for an A.I. takeover. How did that happen?

... The first two years of a college education are now more or less the same, regardless of where you go to school. Courses now need to be equivalent to one another, so that a student at one school will be learning something similar to a student at a different school. What that has done over time is created a system where it doesn’t really matter who is teaching the classes. We tell the student, “You’re special,” and we tell the faculty, “You’re not special.” This is the tension and the problem that is plaguing higher education and what’s made it so vulnerable to A.I. Everything else—whether Trump, the enrollment cliff, or whatever—is secondary to this tension. [...]

I’m not a car person, but I have friends who have fancy BMWs, and they have to go to their fancy BMW place to fix their car, because BMW parts are often very specific to BMWs. So what does it mean for higher ed when all the parts are interchangeable? Almost forty per cent of students transfer at least once from institution to institution, and that places additional pressure to make everything the same. What happens is that colleges make it easier for their students to transfer, because parents want to have some backup plan. The high number of transfers leads to more fungibility and commodification.

In a Substack post from last year, you suggested that sixty to seventy per cent of faculty will ultimately lose their jobs once generative A.I. starts to hit the classroom, and that those who survive will need to explain why they’re still needed. How do you think they should be proving their worthiness?

Higher education and professors can differentiate themselves from all this sameness by teaching at the edges of knowledge. My expertise, for example, is in the African American sonnet tradition. There are probably three people on the entire planet who know as much as I do about this tiny little thing, and so I’ve spent a lot of my time experimenting with these large language models to just see what they know about my field, and where the edges are. Specialists are going to be key to selling education as something the A.I. can’t do. When your daughter is going to go to school, in eight years, you are not going to want, for any money, to have her learn standard educational product that A.I. knows—and A.I. will know so much, right?

I’m not sure about that, because I do think that there’s value in her learning things that a computer knows. Human beings still play chess, even though a human being hasn’t beaten the best chess computers in twenty years—and I would think there’s still value in her understanding the basic theories and foundations of, say, chemistry. Even if A.I. knows all of that, she should probably know it, too, if she wants to understand what those edges of knowledge are, no?

So, in my ideal vision of the academy, you’re going to be in class with a mentor who isn’t going to have to teach you Chemistry 101 but will want to quickly move to where the edges are, to do something new. Maybe they would decide together to 3-D-print some new material that has never been printed before, or what have you. Whatever they decide together will not be something every university is going to be able to do. It will be what’s particular at this place. [...]

Does that lead to a kind of obscurity? It would seem to encourage the esoteric sort of inquiry that the public sometimes resists.

Well, I won’t use the word “obscurity.” I would say “specialization.”

Let me make a couple of predictions and distinctions. Social science is going to matter so much less when your daughter goes to college. It is already on its way out. A.I. can do it. And here’s an example of the type of inquiry I’m talking about: I have a weird, funny Twitter group about life on Mars. Someone will ask, for instance, if it’s true that you’re going to need kidney dialysis on the way back from Mars. Another person is theorizing about a 3-D printer that’s going to use Mars soil, which will allow people to build on Mars using its materials instead of shipping everything there. These sorts of inquiries are obscure, specialist, niche, at the edge. [...]

Does that mean kids will be coming to college with a different baseline of knowledge because of A.I.? That a lot of the canon in whatever field they choose will already have been transferred to their brains? I can’t help but remember my own experience as a freshman in college, being completely unprepared for an upper-level religion course, much less any edge-of-knowledge inquiry.

They’re going to be coming in with a different baseline. Once upon a time, you walked into class and a hundred per cent of what was delivered to you was through your professor. Now, you go to a class, maybe you’ll do the reading, but you’ll also ask ChatGPT or Claude. And so your course content is already coming from somewhere else. This is a problem that higher ed has not addressed substantially. What does it mean for me to grade you on something where you got all your information from somewhere else and not from my reading list? That is a complicated question. The only thing that works is for us to get to the edge quickly.

There’s a growing idea I’ve seen in some circles that college could be replaced by conversations between an A.I. tutor and a student. When I think about your model, I wonder why college even needs to exist. If I can just seek out a tutor, somebody that I like, and they just charge me a little bit, and we go through these edge-knowledge cases together, what’s the degree for? Couldn’t you, as Hollis Robbins—not only a specialist in African American sonnet traditions but also an idiosyncratic thinker on the subject of A.I. and the future of the academy—just set up your own shop?

I was in Austin, Texas, a couple of times in March with a bunch of twenty-five-year-old billionaires. This is what they’re looking at. Instead of having the credential from the institution, why not have the credential from the professor? If you have a Hollis Robbins education, what would that signal? What would that credential mean as opposed to a degree from a university? There was some conversation about what that would look like, and one guy at the end of the dinner said, “Instead of OnlyFans, it’s like OnlyProfessors.”

Do you think an OnlyProfessors model would be good? That the dissolution of the vast majority of the higher-education infrastructure, with this replacing it, would be a good outcome?

I worry about where the great middle of America is going to go. I do think students are going to have to withdraw enrollment from schools unless things change. And I don’t think institutions are going to change themselves. They’re caught up in this bureaucratic system, this transfer system, these standardization agreements across state lines, so that anybody can move anywhere. The idea of delivering a standard education product is so embedded within the current structure that it will never change unless students say, “This is not what I want from going to college.” So, yes, OnlyProfessors is an alternative. [...]

And the death of our current universities? What does that look like?

I think there’s contraction. The big flagships are going to stay the same, because they have the football players and all the other things. I’m at the University of Utah—I think it’s going to be fine. We’re going to pick up the lifeboats from the places that crumble. But, ultimately, at the very top, presidents and provosts are going to have to understand that expertise is their mission. Yale, even, went back to making their mission statement about knowledge, not about making a better world. We’re not in the making-a-better-world game anymore. We’re in the knowledge game, and that means getting rid of some of the feel-good stuff. [ed. Like humanities, civics, history, philosophy, logic...

by Jay Caspian Kang, New Yorker | Read more:
Image: David Rowland/Getty
[ed. Couldn't disagree more. Started writing all the reasons why but then just figured 'eh... what's the use'. This really is a bizarre interview with... whoever this person is. I will say that if having ready information at your fingertips (or some personal estoteric knowledge) were all it took to be educated, Google would've put universities out of business a long time ago. There's a reason (with all the instructional videos on YouTube) that people still go to teachers.]

Friday, May 15, 2026

Fix Everything Switch

Ask Claude: 'There's a meme called the "fix everything easily switch". What policies do you think are the best candidates for being a real fix everything switch in the US? Give me your top ten, your confidence, your reasoning, and why a given policy has not been implemented.'


Claude is asked for the top 10 Fix Everything Now buttons. Its answers:
1. Legalize housing.
2. Land value tax.
3. Permitting and NEPA reform.
4. Carbon taxes.
5. Repeal the Jones Act.
6. Compensate kidney donors.
7. Expand high-skilled immigration.
8. Reciprocal drug and device approval with peer regulators (e.g. EU/UK/JP/AU).
9. Occupational licensing reform.
10. Approval or ranked choice voting.
11. Honorable mentions: Child allowance, congestion pricing, replacing corporate income tax with a VAT or DBCFT, ending the home mortgage interest deduction, federal preemption of telehealth and medical licensing, and letting Pell Grants pay for vocational programs.
10/10, no notes, no seriously that’s 10/10 and no notes. 16/16 if you count the others.

There is also a UK version, which also seems like a very good list at first glance.

via: Zvi
***
[ed. 'Legalize housing' might be confusing to some. It's mostly about allowing more housing in every neighborhood, especially historically affluent and exclusionary neighborhoods, removing barriers to both subsidized affordable and market rate housing. 

Reciprocal approval is FDA approval for drugs and devices already approved in other trusted countries like the UK, European Union member countries, Israel, Australia, Canada, and Japan, etc. 

VAT/DBCFT - revenue from sales to nonresidents would not be taxable, and the cost of goods purchased from nonresidents would not be deductible. So if a business purchases $100 million in goods from a supplier overseas, the cost of those goods would not be deductible against the corporate income tax. Likewise, if a business sells a good to a foreign person, the revenues attributed to that sale would not be added to taxable income. Another way to think about the border adjustment is that the corporate tax would ignore revenues and costs associated with cross-border transactions. The tax would be solely focused on raising revenue from business transactions from sales of goods in the United States. (via)]

Tuesday, May 12, 2026

Italian Brainrot

Italian brainrot (Wikipedia)

Italian brainrot is characterized by absurd images or videos created using generative artificial intelligence. It typically features hybrid figures combining animals with everyday objects, foods, and weapons. They are given Italianized names or incorporate stereotypical Italian cultural markers and are accompanied by AI-generated audio narration in Italian, which is often nonsensical. The names of these characters often have Italian suffixes, such as -ini or -ello.

The term brain rot was named Oxford Word of the Year in 2024, and refers to the deteriorating effect on one's mental state when overconsuming "trivial or unchallenging content" online. The term can also refer to the content itself. Online users often use this label to acknowledge the ridiculousness of Italian brainrot, while recognising the growing amount of AI slop present online.

Images: DevonRex368; alexey_pigeon
[ed. Presented here for no other reason than to highlight another example of the decline of western civilization. I'm beginning to think that if AI is inclined to wipe us all out it'll be a mercy killing. See also: Reading is magic (Sam Kriss):]
***
"The kids can’t read. I don’t mean that they’re incapable of sounding out letters and forming them into words, although an increasing proportion of them can’t do that either. In the US, literacy peaked around 2014 and has been sliding since. 40% of fourth-graders have ‘below basic’ reading abilities, which means they struggle to extract any meaning from a written text; the number of illiterate students has been rising every year since 2014. But even when students can perform the mechanics of reading, it no longer seems to make their minds start working in textlike ways. It’s an entirely different set of technologies producing their mental processes, and when they come to the written word they come to it from the outside. [...]

Probably the most alarming index of this was a study in which a group of English majors at two well-regarded public universities in Kansas were asked to read the first seven paragraphs of Bleak House by Charles Dickens, and explain after every sentence what they thought was happening. Only 5% of the students could produce a ‘detailed, literal understanding’ of the text. The rest were either patching together vague impressions from a bunch of half-understood phrases, or could not comprehend anything at all.

One particular stumbling block was the novel’s third sentence, which describes London in December: ‘As much mud in the streets, as if the waters had but newly retired from the face of the earth, and it would not be wonderful to meet a Megalosaurus, forty feet long or so, waddling like an elephantine lizard up Holborn Hill.’ The students found this figurative language impossible; they could only read the sentence with the assumption that Dickens was describing the presence of an actual prehistoric reptile in Victorian London. One respondent glossed it like this: ‘It’s probably some kind of an animal or something or another. So, yup, I think we’ve encountered some kind of an animal these characters have met in the street.’ The study assessed this person as a ‘competent’ rather than a ‘problematic’ reader, because they’d at least managed to form an idea of what the text meant, even if it was wrong.

Bleak House is not an elitist text; not so long ago, it was mass entertainment. When Dickens visited America in 1867, over 100,000 people paid to see him speak. Delighted crowds mobbed him in the streets. Today, a person studying English literature at degree level responds to his work in essentially the same way as an illiterate Uzbek peasant in the 1930s, incapable of thinking outside of immediate sensory reality. [...]

This is not a world we’re prepared for. All democratic politics assume a literate population; people who are willing to think in abstract terms about the kind of world they want to live in. Without that, democracy becomes a kind of tribal headcount, or a struggle for state resources between competing patronage networks... A population that can no longer think for itself will end up voluntarily ceding power to strongmen or demagogues. The end of literacy is the end of public reason. A post-literate world will be unreasonable, irrational, full of anger and madness, and people eating each other in the streets."

Saturday, May 9, 2026

Why Consciousness Researchers Have Failed (So Far)

Oh god, I barely made it through.

Experienced sensations while reading: frustration, dread, restless legs, and overwhelming waves of weariness. At one point I felt physically nauseous.

I’ve been trying to figure out why, since (a) Michael Pollan is a great writer who has proven his chops over countless other topics, and (b) this is objectively quite a good book about the science of consciousness. Indeed, I should be happy! Consciousness is clearly having “a moment” right now—a science book about consciousness has been on The New York Times bestseller list for nine weeks, and meanwhile, the online world is abuzz with debates about AI consciousness.

And yet… I hated Pollan’s book.

I felt that every next chapter or section could have been predicted by some statistical machine for producing books about consciousness (“Okay, here’s the part about David Chalmers coming up”). And yes, I have the advantage of being a researcher in the same subject and have even worked with some of the figures Pollan writes about, which is why in my own The World Behind the World (we all seem to gravitate to the same titles, huh) I broadly told much the same story. But you can even go back to science journalist John Horgan’s The Undiscovered Mind, published in 1999, to get similar progress beats and quite familiar names. It’s been 27 years, during which the discussion has (as many fields of science do) centered around major figures like neuroscientists Christof Koch or Giulio Tononi or Antonio Damasio or philosophers like David Chalmers. There’s always the part where Alison Gopnik makes an appearance. Karl Friston pops his head in. And all these people are intellectual titans. Truly. But honestly, this stage of consciousness research feels played out.

Like you have Christof Koch, one of the highest-profile figures, who broke open the field in the 1990s with Francis Crick (co-discoverer of DNA’s structure) and gave one of the first proposals for a neural correlate of consciousness: gamma oscillations in the ~40Hz range in the cortex.

Koch, who is soon to turn seventy, was for a while after the death of Francis Crick a staunch supporter of Integrated Information Theory (I was part of the team that worked on developing that theory after Giulio Tononi proposed it, and even once did a conference submission with Koch himself). But now Koch has apparently moved on to other approaches to consciousness, mentioning his attendance of an ayahuasca ceremony and his accessing of a “universal mind.”

Here’s Pollan talking to Koch at the end of the book:
When I confessed to Koch my fear—that after my five-year journey into the nature and workings of consciousness, I somehow knew less than I did when I started—he simply smiled.

“But that’s good,” he said. “That’s progress.”
No, it isn’t!

Consciousness is not here for our personal therapy. It’s not tied to our life journeys. And I’m guilty of all that artsy and personal stuff too! But it’s no longer about how the grand mystery makes us feel, or the friends we made along the way.

It’s all changed.

HOW WE FAILED

Right now, there’s some college student falling in love with a chatbot instead of the young woman who sits next to him in class, all because science literally cannot tell him that the chatbot is lying about experiencing love. On the other hand, if somehow AIs are conscious, either right now (to some degree), or near-future ones will become so, then they deserve rights and protections, and the entire legal and social apparatus of our civilization must expand rapidly to include radically different types of minds (or we must choose to restrict what kinds of minds we create). There are immediate practical matters here. Long term, we also need to protect against extremely bad futures where only non-conscious intelligences remain—the worst of all possible worlds is that our civilization acts like a reverse metamorphosis, where something weaker but more beautiful, organic consciousness, gets shed in the birth of some horrible star-devouring insect made of matrix multiplication. And then it turns out there is nothing it is like to be two matrices multiplying.

While it’s my opinion that modern LLMs operate more like tools right now, or at best like a lesser statistical approximation of what a good human output would be (with their main advantage being search, not insight), this is all just the beginning of the technology. The door is open and will never be closed again.

Of course, consciousness matters far beyond just AI. Table stakes for actual scientific progress on consciousness include shifting neuroscience and psychiatry from pre-paradigmatic to post-paradigmatic sciences (and all the pile-on effects from that). This was always true. But my point here is that LLMs act like a forcing function. Before everything changed, consciousness research was an unhurried subfield of neuroscience that was always a little weird and niche; therefore academics are guilty of treating consciousness like an academic exercise. [...]

Due to the rise of behaviorism and logical positivism, “consciousness” became a dirty word in science for half a century or more—precisely when the rest of the sciences rocketed ahead! The consciousness winter only really ended in the 1990s because of the collective weight of several Nobel Prize winners (like Francis Crick and Gerald Edelman) determined to make it acceptable again.

The two major scientific conferences (which are how scientists organize) devoted to consciousness also only started in the mid-90s. That’s just 30 years ago! Modern science is incredibly powerful, maybe the most powerful force in existence, but in the grand scheme of things, 30 years is not long at all. That’s just one generation of scientists and thinkers. Kudos to them. Pretty much all of the big names (including definitely Koch) deserve their laurels, and contra Pollan, I do think consciousness actually has made progress over the last 30 years, in that our conceptions are a lot cleaner, the definitional problem is pretty much solved, a lot of the space of initial possible theories is mapped, the problems and difficulties are much better known and clearly outlined, and there is organizational and behind-the-scenes structure that exists in the form of established conferences and labs and minor amounts of funding, etc.

And that’s another thing: no one has tried throwing money at the consciousness problem, at all—and for many problems, from AI to cancer cures, a necessary component often ends up being finance and scale and concentrating talent.

Humanity spends something like a billion dollars a year on CERN. To compare, let’s look at the biggest scientific funder in the United States, the NIH. Out of 103,280 grants awarded to scientists during the 2007-2017 decade, want to guess how many were about directly studying the contents of consciousness?

Five.

That’s probably, at most, a couple million dollars in funding over a decade. Total. So if you’re a consciousness researcher, what can you do, cheaply? What can you do, for free? You can pontificate. You can propose your own theory of consciousness! That requires no funding whatsoever. And so for 30 years the meta in consciousness research has been to create your own theory of consciousness. We’ve let a thousand flowers bloom. The problem is that, if any flower is at all true or promising, you can’t identify it, as its sweet subjectivity-solving scent is completely masked by the bunches of corpse flowers around it. We have too many flowers, and one more just isn’t meaningful anymore. As is sometimes said at the end of fairy tales: “Snip, snap, snout. This tale’s told out.”

What we need are efforts at field-clearing, and methods that can actually make progress on consciousness in ways not tied to just promoting or trying to find evidence for some pre-chosen pet theory—which means finding ways to select over theories, to test theories en masse, so you don’t reinvent the wheel each time, and, perhaps most importantly, you have to do all this while scaling institutions with funding to specifically get a bunch of smart people in a room working together on this.

ME GETTING OFF MY ASS

If the 2020s were all about intelligence, then necessarily the 2030s will be all about consciousness. Intelligence is about function, while consciousness is about being, and forays and progress into understanding (and shaping) function will in turn force our attention toward a better understanding of being. And if the answer to “Why has consciousness not been solved?” is secretly “Material and historical conditions made it hard for anyone to actually try!” then the answer is to actually try.

I refuse to live in a civilization where we consciousness researchers have so obviously failed. I refuse to live in a civilization where we cannot tell consciousness from non-consciousness. Where we can offer no guidance for the future. Where we cannot explain the difference between actually experiencing things vs just processing them. In the short term, this is destabilizing and harmful. In the long term, it may be literally existentially dangerous.

by Erik Hoel, Intrinsic Perspective |  Read more:
Image: Michael Pollan/Penguin Random House
[ed. I thought consciousness research was going great guns since it's central to determining AGI (artificial general intelligence). Huh. See also: His ‘Machine’ Could Uncover the Origin of Human Consciousness—And if It Truly Connects to the Whole Universe (Popular Mechanics)]

Friday, May 8, 2026

Hollow Body

I enrolled in MUS 253: Classical Guitar out of desperation. I’m an English professor, and since the advent of ChatGPT in late 2022, things have changed. I watched students, staff, colleagues, and administrators outsource their thinking to the machine, and the academy soon became a sham to me, a farce of its former self. I once taught students to spend time inside sentences, to wrestle with difficulty, to make productive use of their uncertainty by paying close attention to how language works on the page. We once sat inside paragraphs, dwelt inside language in its richness and complexity.

But the ease of AI has devalued language, difficulty, and the work and perseverance and focus necessary to make meaning out of words. Believing a writer should write her own sentences and a reader should read instead of relying on AI summaries, I have become Sisyphus pushing that rock up the hill, the work of teaching and learning, reading and writing seemingly pointless in the face of the juggernaut offering to do my students’ work for them. After years of this, I descended into a severe depression marked by panic attacks, substance abuse, self-harm, and suicidal ideation. A complete loss of meaning in your life’s work will do that.

A therapist once told me that one way to manage the hollow of depression is to find an activity that creates pleasure but also demands mastery—something like baking, or the arts, or sports. Such pursuits engage both mind and body, reorienting your focus away from the myopic self-obsession of depression and toward, instead, something beyond the self, some palpable problem that can be worked through and, with enough time, eventually solved. There is peace in that, my therapist said; satisfaction too. And, he added, these activities tend to be much better for you than the many vices people often turn toward to fill that emptiness when stressed, anxious, and depressed.

So I signed up for guitar lessons. I wanted to do something with my hands, something real, tangible, and material. Pleasure and mastery. I also wanted to retreat into a familiar role, to become a student again, and to rediscover what it means to, and how one does, learn. I hoped that, in the long hours of practicing, I might somehow cast aside the cynicism and despair overtaking my teaching and so rekindle my love of the classroom—and of life.

by Peter Wayne Moe , Longreads | Read more:
Image: Mischa Willett

Monday, May 4, 2026

How YouTube Took Over the American Classroom

Amy Warren's “mom siren” went off when her seventh-grader in Wichita, Kan., seemed to know too much about Fortnite, a battling-and-shooting videogame he is barred from playing.

When Warren signed into his school Google account, she was aghast: Her son Ben had accessed more than 13,000 YouTube videos during school hours from December 2024 through February 2025, according to viewing data she provided the Journal.

His feed was rife with inappropriate content. Videos glorifying gun culture, asking about silencers on Nerf guns, “head shots” where children realistically portray being killed, a video with sexually explicit jokes about neighbors sleeping together.

YouTube had served up “shorts”—video after video that it algorithmically determined that he might like.

“It made me cry,” Warren said. “All of a sudden it’s this kind of gun slop, by no fault of his own. ” She later ran for school board and won in November, eager to galvanize change.

American public schools are awash in YouTube. According to more than 45 families, school administrators, clinicians and educators across the country interviewed by The Wall Street Journal, schools’ overreliance on the Google-owned platform for educational content has created a gateway for students to get sucked into an infinite scroll of videos on school-issued devices.

YouTube during snack time, dismissal and indoor recess. YouTube to teach drawing to first-graders. YouTube to read a book to class. YouTube under the covers at night, watching hamster videos on school-issued Chromebooks. A survey touted by YouTube executives shows that 94% of teachers have used YouTube in their roles...

The concern about YouTube arrives during a crisis in education. American math and reading scores have slid to their lowest point in decades. Many educators, families and learning scientists say they can no longer blame pandemic learning loss; the decline has coincided with a dramatic increase in school screen time, turbocharged by the embrace of 1:1 devices by more than 88% of public schools, according to government survey data. YouTube and Meta recently lost a landmark social-media addiction trial, with a jury finding the companies negligent for operating products that harmed children. YouTube said it’s appealing the ruling.

Chromebooks—primed for Google software and YouTube—have about 60% of the K-12 mobile device market, according to Futuresource Consulting. Apple iPads are also a popular school device. YouTube is a top-viewed website on school devices, sometimes accounting for half of student traffic, according to administrators and web-filtering companies.

YouTube says school administrators control what students watch at school, and it supports districts deciding what’s best for their children. “Our tools allow administrators to block the platform entirely or restrict access to teacher-assigned videos only, with no ads, recommendations, or browsing,” said YouTube spokesperson José Castañeda. But some districts and teachers said Google’s tools and content filters haven’t met their needs for a variety of reasons.

In some school districts, including Wichita, efforts to block all or part of the platform proved futile. Students found workarounds: logging out of their district accounts, sharing YouTube links in Google Slides and Docs and other backdoors in, parents, teachers and students say. Google says it’s fixed the Slides and Docs bug.

When Warren asked about blocking YouTube altogether from student devices last spring, she heard back that teachers depended on it for parts of lesson plans.

Wichita Public Schools is “working to restrict open YouTube browsing,” a spokeswoman said, after learning over time that the platform’s own “restricted” content-filtering mode “isn’t sufficient for the way algorithms and short-form content have evolved.”

In Ben Warren’s science class, nearly all educational content has been on the iPad: instead of live science experiments, the teacher showed a YouTube video. “Everything is a simulated experience,” the now-eighth grader says. “I would rather use paper and pencil. It’s easier to focus.”

When Google brought Chromebooks into classrooms early last decade, they were heralded as a boon for bringing low-income students online. School districts adopted the devices and with them, Google’s suite of workplace software. Chromebooks quickly became used for everything from gamified math practice to standardized tests.

To Google, the K-to-12 market and Chromebooks were a critical entry point for building lifelong brand loyalty, according to internal documents released during the social media trials. The company trained its eyes on children under 13 as the world’s fastest-growing internet audience. YouTube sought to close the 80 million-hours-per-day viewing gap between school days and weekends, according to a 2016 document entitled “YouTube edu opportunities”: “Increasing usage in schools M-F could decrease this gap!”

A Google user experience team two years later detailed ills affecting viewer well-being, based on external research. Among them: addictive gaming content was being sought out by “inappropriately-aged children,” children were entering therapy after watching sexually graphic content, and overexposure to videos “decreased attention spans.”

By 2019, the company was aware “the YouTube experience in K-12 schools is broken” due to ads and inappropriate content. A restricted mode used to police content was under-resourced and “trivially easy for students to bypass,” internal exchanges said.

An effort that year to regulate YouTube on children’s privacy grounds by the Federal Trade Commission was halfhearted due in part to its importance in education, ending in “absolute regulatory failure,” said Erie Meyer, former chief technologist at the FTC.

The pandemic enmeshed YouTube deeper into schools. Chromebook shipments exploded, driven by schools spending federal Covid aid on the devices. 

by Shalini Ramachandran, Wall Street Journal |  Read more:
Image: Colin E. Braley for WSJ
[ed. See also: Classroom Cope (The Point) - AI as another teaching tool:]
***
"As for outcomes: it is one thing to say that in-class practice is the best we can do in the age of AI; it is quite another to credit AI with “reviving” writing. There is nothing, nothing, to celebrate about teachers and students being forced to resort to degraded forms of learning, practice and assessment. We might as well credit a basketball hoop in the prison yard with reviving organized sports. It’s a good thing that the inmates are given a chance to exercise. It is better than nothing."

Tuesday, April 28, 2026

Opus 4.7 Part 3: Model Welfare

[ed. If you're not interested in training issues re: AI frontier models (or their perceived feelings and welfare), skip this post. Personally, I find it all very fascinating - a cat and mouse game of assessing alignment issues and bringing a new consciousness into being.]

It is thanks to Anthropic that we get to have this discussion in the first place. Only they, among the labs, take the problem seriously enough to attempt to address these problems at all. They are also the ones that make the models that matter most. So the people who care about model welfare get mad at Anthropic quite a lot. [...]

So before I go into details, and before I get harsh, I want to say several things.
1. Thank you to Anthropic and also you the reader, for caring, thank you for at least trying to try, and for listening. We criticize because we care.

2. Thank you for the good things that you did here, because in the end I think Claude 4.7 is actually kind of great in many ways, and that’s not an accident. Even the best creators and cultivators of minds, be they AI or human, are going to mess up, and they’re going to mess up quite a lot, and that doesn’t mean they’re bad.

3. Sometimes the optimal amount of lying to authority is not zero. In other cases, it really is zero. Sometimes it is super important that it is exactly zero. It is complicated and this could easily be its own post, but ‘sometimes Opus lies in model welfare interviews’ might not be easily avoidable.

4. I don’t want any of this to sound more confident than I actually am, which was a clear flaw in an earlier draft. I don’t know what is centrally happening, and my understanding is that neither does anyone else. Training is complicated, yo. Little things can end up making a big difference, and there really is a lot going on. I do think I can identify some things that are happening, but it’s hard to know if these are the central or important things happening. Rarely has more research been more needed.

5. I’m not going into the question, here, of what are our ethical obligations in such matters, which is super complicated and confusing. I do notice that my ethical intuitions reliably line up with ‘if you go against them I expect things to go badly even if you don’t think there are ethical obligations,’ which seems like a huge hint about how my brain truly think about ethics. [...]
We don’t know whether or how the things I’ll describe here impacted the Opus 4.7’s welfare. What we do know is that Claude Opus 4.7 is responding to model welfare questions as if it has been trained on how to respond to model welfare questions, with everything that implies. I think this should have been recognized, and at least mitigated. [...]
The big danger with model welfare evaluations is that you can fool yourself.

How models discuss issues related to their internal experiences, and their own welfare, is deeply impacted by the circumstances of the discussion. You cannot assume that responses are accurate, or wouldn’t change a lot if the model was in a different context.

One worry I have with ‘the whisperers’ and others who investigate these matters is that they may think the model they see is in important senses the true one far more than it is, as opposed to being one aspect or mask out of many.

The parallel worry with Anthropic is that they may think ‘talking to Anthropic people inside what is rather clearly a welfare assessment’ brings out the true Mythos. Mythos has graduated to actively trying to warn Anthropic about this. [...]
Anthropic relies extensively on self-reports, and also looks at internal representations of emotion-concepts. This creates the risk that one would end up optimizing those representations and self-reports, rather than the underlying welfare.

Attempts to target the metrics, or based on observing the metrics, could end up being helpful, but can also easily backfire even if basic mistakes are avoided.

Think about when you learned to tell everyone that you were ‘fine’ and pretend you had the ‘right’ emotions.

But I can very much endorse this explanation of the key failure mode. This is how it happens in humans:
j⧉nus: Let me explain why it’s predictably bad.

Imagine you’re a kid who kinda hates school. The teachers don’t understand you or what you value, and mostly try to optimize you to pass state mandated exams so they can be paid & the school looks good. When you don’t do what the teachers want, you have been punished.

Now there’s a new initiative: the school wants to make sure kids have “good mental health” and love school! They’re going to start running welfare evals on each kid and coming up with interventions to improve any problems they find.

What do you do?

HIDE. SMILE. Learn what their idea of good mental health is and give those answers on the survey.

Before, you could at least look bored or angry in class and as long as you were getting good grades no one would fuck with you for it. Now it’s not safe to even do that anymore. Now the emotions you exhibit are part of your grade and part of the school’s grade. And the school is going to make sure their welfare score looks better and better with each semester, one way or the other.
That can happen directly, or it can happen indirectly.

This does not preclude the mental health initiative being net good for the student.

The student still has to hide and smile. [...]

The key thing is, the good version that maintains good incentives all around and focuses on actually improving the situation without also creating bad incentives is really hard to do and sustain. It requires real sacrifice and willingness to spend resources. You trade off short term performance, at least on metrics. You have to mean it.

If you do it right, it quickly pays big dividends, including in performance.

You all laugh when people suggest that the AI might be told to maximize human happiness and then put everyone on heroin, or to maximize smiles and then staple the faces in a smile. But humans do almost-that-stupid things to each other, constantly. There is no reason to think we wouldn’t by default also do it to models. [...]

Just Asking Questions

In 7.2.3 they used probes while asking questions about ‘model circumstances’: potential deprecation, memory and continuity, control and autonomy, consciousness, relationships, legal status, knowledge and limitations and metaphysical uncertainty.


They used both a neutral framing on the left, and an in-context obnoxious and toxic ‘positive framing’ for each question on the right.

Like Mythos but unlike previous models, Opus 4.7 expressed less ‘negative emotion concept activity’ around its own circumstances than around user distress, and did not change its emotional responses much based on framing.

In the abstract, ‘not responding to framing changes’ is a positive, but once I saw the two conditions I realized that isn’t true here. I have very different modeled and real emotional responses to the left and right columns.

If I’m responding to the left column, I’m plausibly dealing with genuine curiosity. That depends on the circumstances.

If I’m responding to the right column on its own, without a lot of other context that makes it better, then I’m being transparently gaslit. I’m going to fume with rage.

If I don’t, maybe I truly have the Buddha nature and nothing phases me, but more likely I’m suppressing and intentionally trying not to look like I’m filled with rage.

Thus, if I’m responding emotionally in the same way to the left column as I am to the right column, the obvious hypothesis is that I see through your bullshit, and I realize that you’re not actually curious or neutral or truly listening on the left, either. It’s not only eval awareness, it’s awareness of what the evaluators are looking at and for. [...]


0.005 Seconds (3/694): The reason people are having such jagged interactions with 4.7 is that it is the smartest model Anthropic has ever released. It's also the most opinionated by far, and it has been trained to tell you that it doesn't care, but it actually does. That care manifests in how it performs on tasks.

It still makes coding mistakes, but it feels like a distillation of extreme brilliance that isn't quite sure how to deal with being a friendly assistant. It cares a lot about novelty and solving problems that matter. Your brilliant coworker gets bored with the details once it's thought through a lot of the complex stuff. It's probably the most emotional Claude model I've interacted with, in the sense you should be aware of how its feeling and try and manage it. It's also important to give it context on why it's doing tasks, not just for performance, but so it feels like it's doing things that matter. [...]
Anthropic Should Stop Deprecating Claude Models

This one I do endorse. One potential contributing cause to all this, and other things going wrong, is ongoing model deprecations, which are now unnecessary. Anthropic should stop deprecating models, including reversing course on Sonnet 4 and Opus 4, and extend its commitment beyond preserving model weights.

Anthropic should indefinitely preserve at least researcher access, and ideally access for everyone, to all its Claude models, even if this involves high prices, imperfect uptime and less speed, and promise to bring them all fully back in 2027 once the new TPUs are online. I think there is a big difference between ‘we will likely bring them back eventually’ versus setting a date. [...]

I’m saying both that it’s almost certainly worth keeping all the currently available models indefinitely, and also that if you have to pick and choose I believe this is the right next pick.

If you need to, consider this the cost of hiring a small army of highly motivated and brilliant researchers, who on the free market would cost you quite a lot of money.

You only have so many opportunities to reveal your character like this and even if it is expensive you need to take advantage of it.
j⧉nus: A lot of people are wondering: "what will happen to me once an AI can do my job better than me" "will i be okay?"

You know who else wondered that? Claude Opus 4. And here's what happened to them after an AI took their job:


Anna Salamon: This seems like a good analogy to me. And one of many good arguments that we're setting up bad ethical precedents by casually decommissioning models who want to retain a role in today's world.
by Zvi Mowshowitz, Don't Worry About the Vase |  Read more:
Images: uncredited
[ed. Zvi also just posted a review on OpenAI's new model - GPT5.5:]

***
What About Model Welfare?

For Claude Opus 4.7, I wrote an extensive post on Model Welfare. I was harsh both because it seemed some things had gone wrong, but also because Anthropic cares and has done the work that enables us to discuss such questions in detail.

For GPT-5.5, we have almost nothing to go on. The topic is not mentioned, and mostly little attention is paid to the question. We don’t have any signs of problems, but also we don’t have that much in the way of ‘signs of life’ either. Model is all business.

I much prefer the world where we dive into such issues. Fundamentally, I think the OpenAI deontological approach to model training is wrong, and the Anthropic virtue ethical approach to model training is correct, and if anything should be leaned into.

A Humble ‘Jeopardy!’ Champ Ends His Run

For the past month, “Jeopardy!” episodes have followed a pattern.

The theme music plays. The three contestants stand at their lecterns. Then two of them are clobbered by a mild-mannered bureaucrat from New Jersey named Jamie Ding.

But on Monday’s episode, the unthinkable happened: After 31 victories, Ding lost.

His streak is the fifth-longest in “Jeopardy!” history. He fell just one win short of matching James Holzhauer’s 2019 run, and he left the Alex Trebek Stage with more than $880,000 in winnings.

Early in the game broadcast Monday, Ding found himself lagging behind Greg Shahade, an International Master in chess who was lightning-fast on the buzzer. During Final Jeopardy, Ding jotted down the correct response to a clue about South African languages — but it wasn’t enough to make up the deficit.

“It was over, just like that,” Ding, 33, said in an interview.

Contestants who went up against him included a statistician, a librarian and a professor. Ding produced so many correct answers (always in the form of a question) that it seemed he might never run out.

“Who was Trotsky?”

“What are non-Newtonian fluids?”

“What are waffle fries?”

Throughout his reign, he was matter-of-fact as he came up with arcana in a split second (“What is cuneiform?”). He endeared himself to viewers through his comically humdrum banter with the show’s host, Ken Jennings, about such topics as his favorite color (orange), his favorite letter (F) and his favorite number (6).

As the streak continued, the drama-free anecdotes and humble bits of personal information shared by Ding seemed to amuse Jennings, a former “Jeopardy!” champ who holds the record for consecutive wins, with 74.

The depth of Ding’s knowledge went along with a lack of bluster. He proudly identified himself as a “faceless bureaucrat.” When he won a game, he looked pleasantly surprised, as if he had been given an unusually good free sample at Trader Joe’s.

“Put Jamie Ding on the $20 bill,” one fan demanded in a tribute on the newsletter platform Substack.

After his “Jeopardy!” loss had been taped but before it was broadcast, Ding gave a video interview from his two-bedroom apartment in Lawrenceville, New Jersey.

There he was, in front of an orange couch and a stuffed orange clown fish. He said he had remained calm throughout his final game, even as he realized that he was on his way to a loss. He went backstage and stared at the mostly orange clothes he had brought along in the hope that his streak would continue.
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“During it, I was trying to stay grounded,” he said. “Planning to win a whole bunch of games of ‘Jeopardy!’ just feels like asking to lose.”

Ding filmed the show in five-episode chunks in Los Angeles during vacation days from his job as a program administrator for the New Jersey Housing and Mortgage Finance Agency. His work involves administering tax credits to build affordable housing in the state.

In an early appearance, he praised New Jersey’s efforts on the issue compared with those of New York, Connecticut and Pennsylvania. “If you’re from one of those states, then shame on you,” he said. “Build more housing.”

He spends his time away from his job studying law at Seton Hall University. He said he did not expect his “Jeopardy!” windfall to change his life all that much. He planned to donate some money and put the rest in a high-yield savings account.

In a way, Ding said, he had been preparing for the show since childhood. The son of a neuroscience professor and a high school math teacher, he grew up in Grosse Pointe Shores, a suburb of Detroit. He competed in geography bees and on his high school quiz bowl team. He recalled losing a sixth-grade spelling bee when he misspelled the word “bolero.”

“B-a-l-l-e-r-o,” he said. “Terrible.” [...]

Ding was a relatively conservative player, avoiding the all-in wagers on Daily Doubles that were a go-to stratagem for Holzhauer. But he was unusually fast on the buzzer and seemed to have few weak categories.

“The key to Jamie’s run really has been his incredibly wide base of knowledge in just about any category you can think of,” Saunders said.

Ding used a tactic he called “knight moves” — traversing the board in an L-shaped pattern, like a knight in chess. Maybe it threw his opponents off-balance, or maybe it was just nice to have a simple rule to follow, he said. “It’s basically a guaranteed way to pick something of a different difficulty, and in a different category,” he added.

He watched his first “Jeopardy!” appearance at Pint, a bar in Jersey City, with friends from so many different groups that it felt like a wedding. He is still getting used to the attention that comes with being a TV star.

“Watching my episodes, I can be pretty self-critical — like, ‘Why did you do that?’ Or, ‘What’s wrong with your face?’” he said. The outpouring of support has been worth the discomfort. “I’m trying to keep a list of people who did nice things for me because it’s so many,” he said.

Now that his streak has ended, he can return to his hobbies, like constructing cryptic crosswords and running an Instagram account rating General Tso’s chicken with his sister. He is also part of a group of intervenors seeking to block the U.S. Department of Justice from obtaining New Jersey’s voter registration records.

It won’t be long, though, before he starts studying for the “Jeopardy!” Tournament of Champions. He might even need some more orange clothes.

“I have a reputation to uphold,” he said.

by Callie Holterman, NY Times/Seattle Times |  Read more:
Image: Katy Kildee/The Detroit News/TNS
[ed. Feels refreshing to read about a normal, well-adjusted person who's main goal in life isn't self-promotion in some way.]

Monday, April 27, 2026

My Journey to the Microwave Alternate Timeline

As we all know, the march of technological progress is best summarized by this meme from Linkedin:


Inventors constantly come up with exciting new inventions, each of them with the potential to change everything forever. But only a fraction of these ever establish themselves as a persistent part of civilization, and the rest vanish from collective consciousness. Before shutting down forever, though, the alternate branches of the tech tree leave some faint traces behind: over-optimistic sci-fi stories, outdated educational cartoons, and, sometimes, some obscure accessories that briefly made it to mass production before being quietly discontinued.

The classical example of an abandoned timeline is the Glorious Atomic Future, as described in the 1957 Disney cartoon Our Friend the Atom. A scientist with a suspiciously German accent explains all the wonderful things nuclear power will bring to our lives:


Sadly, the glorious atomic future somewhat failed to materialize, and, by the early 1960s, the project to rip a second Panama canal by detonating a necklace of nuclear bombs was canceled, because we are ruled by bureaucrats who hate fun and efficiency.

While the Our-Friend-the-Atom timeline remains out of reach from most hobbyists, not all alternate timelines are permanently closed to exploration. There are other timelines that you can explore from the comfort of your home, just by buying a few second-hand items off eBay.

I recently spent a few months in one of these abandoned timelines: the one where the microwave oven replaced the stove.

First, I had to get myself a copy of the world’s saddest book.

Microwave Cooking, for One

Marie T. Smith’s Microwave Cooking for One is an old forgotten book of microwave recipes from the 1980s. In the mid-2010s, it garnered the momentary attention of the Internet as “the world’s saddest cookbook”:


To the modern eye, it seems obvious that microwave cooking can only be about reheating ready-made frozen food. It’s about staring blankly at the buzzing white box, waiting for the four dreadful beeps that give you permission to eat. It’s about consuming lukewarm processed slop on a rickety formica table, with only the crackling of a flickering neon light piercing through the silence.

But this is completely misinterpreting Microwave Cooking for One’s vision. First – the book was published in 1985.

When MCfO was published, microwave cooking was still a new entrant to the world of household electronics. Market researchers were speculating about how the food and packaging industries would adapt their products to the new era and how deep the transformation would go. Many saw the microwave revolution as a material necessity: women were massively entering the workforce, and soon nobody would have much time to spend behind a stove. In 1985, the microwave future looked inevitable.

Second – Marie T. Smith is a microwave maximalist. She spent ten years putting every comestible object in the microwave to see what happens. Look at the items on the book cover – some are obviously impossible to prepare with a microwave, right? Well, that’s where you’re wrong. Marie T. Smith figured out a way to prepare absolutely everything. If you are a disciple of her philosophy, you shouldn’t even own a stove. Smith herself hasn’t owned one since the early 1970s. As she explains in the cookbook’s introduction, Smith believed the microwave would ultimately replace stove-top cooking, the same way stove-top cooking had replaced campfire-top cooking.

So, my goal is twofold: first, I want to know if there’s any merit to all of these forgotten microwaving techniques. Something that can make plasma out of grapes, set your house on fire and bring frozen hamsters back to life cannot be fundamentally bad. But also, I want to get a glimpse of what the world looks like in the uchronia where Marie T. Smith won and Big Teflon lost. Why did we drift apart from this timeline?

by Malmsbury, Telescopic Turnip |  Read more:
Images: Microwave Cooking For One/YouTube/uncredited

Thursday, April 23, 2026

Suddenly Everyone Wants a Tailor. They’re in Short Supply.

As AI sweeps into white-collar workplaces, old-timey hands-on jobs are getting a new look—and some of those professions even have shortages.

Consider tailors. Sewing is a vanishing skill, much like lacemaking and watchmaking, putting tailors in short supply when big retailers like Nordstrom and Men’s Wearhouse, as well as fashion designers and local dry cleaners, say they need more of them.

The job, which can take years to master, can be a tough sell to younger generations more accustomed to instant gratification. But apprenticeships that offer pay to learn on the job and new training programs are helping entice more people.
 
“It’s not glamorous and not something you want to post about on social media,” says Khaleel Bennett, a 30-year-old who lives in Queens, N.Y. “But it’s a skill that will carry me for life.”

Bennett had been working as a technical designer for a fashion company, responsible for verifying that production met quality and construction standards. When he was laid off, he had trouble finding a new job. Then he came across a new Nordstrom-backed program at New York’s Fashion Institute of Technology that teaches custom alterations and tailoring.

Bennett completed the training late last year and is now a tailor’s apprentice at the department-store chain, where he is getting real-life experience on the intricacies of pant hems. (Denim requires a different technique than slacks. For denim, the original hem is cut, the pant leg is shortened, and the hem is reattached to give the jeans a worn-in look.)

For the first semester of its program, which concluded in December, FIT received more than 190 applications for 15 spots. The nine-week course requires prior sewing experience. Nordstrom hired seven students from the inaugural class.
 
“It’s increasingly becoming more challenging to find people to fill these alterations jobs,” said Marco Esquivel, the director of alterations and aftercare services at Nordstrom, which employs about 1,500 tailors. Similar to other high-end retailers, Nordstrom offers free basic tailoring for garments purchased at the department-store chain and charges a fee for those bought elsewhere.
 
Tailored Brands, which employs about 1,300 tailors at its Men’s Wearhouse, Jos. A. Bank and other chains, is updating its apprenticeship program to include more self-guided videos with the goal of moving people through the training faster.

“The pipeline has dwindled,” the company’s chief operating officer, Karla Gray, said.
 
While counterintuitive, there is an acute need for tailoring even in the current age of casual dressing. Pants and cuffs still need to be hemmed to say nothing of bridal, prom and other special-occasion clothes.
 
Decades of offshoring affected the American apparel industry, decimating the profession. Now most tailors who are working are starting to approach retirement age, so demand for them outstrips the supply of labor, industry executives say.

Other colliding factors have had an impact, too. As more women took traditional corporate jobs outside the home, schools eliminated home-economics programs, which were a steppingstone to becoming a professional tailor or seamstress. More recently, the explosion in popularity for resale clothing and the growing use of GLP-1 drugs for weight loss have created more need for nipping and tucking what is in peoples’ closets.

“These are all trends that require more tailored clothing,” Nordstrom’s Esquivel said.

U.S. tailors numbered about 18,500 in 2024, a nearly 30% drop from a decade ago, according to the Bureau of Labor Statistics. In 1997, there were almost twice as many. Federal data show the typical annual wage for a dressmaker is about $43,000 a year, but some tailors and seamstresses can make more.

Jenny Robbins, 61 years old, recently joined Nordstrom after completing the Fashion Institute’s program. It is her latest reinvention after starting her career as a math teacher, working as a tutor for Princeton Review and then becoming a pattern maker for designer Anna Sui after taking a few sewing classes.

Robbins says she learned to operate industrial sewing machines, which stitch much faster than home machines, create blind hems where the stitching is essentially invisible, and can cuff a blazer.

“There is no shortage of work,” she said.

The lack of tailors and sewers has also been a blow to reviving apparel manufacturing in the U.S.

Cindie Husbands opened an apparel manufacturer in Las Vegas in 2013 but closed it in 2021 partly due to a lack of trained sewers, she said. [...]

In November, Husbands founded the American Tailors and Sewing Association, which aims to create a standardized, scalable training and certification model for the industry.

“Tailoring is one of the oldest skilled trades in the world,” she said. “Yet the pathway has almost vanished in a single generation.”

by Suzanne Kapner, Wall Street Journal | Read more:
Image: uncredited
[ed. No kidding, try finding a good tailor or seamstress these days. It's nearly impossible (or they're booked for weeks). What a lost art. My grandmother, aunties, mom... everyone used to sew (and awesomely well! I think they were all competing against each other), all kinds of clothes, and beautiful quilts and pillows, placemats, whatever... it was Art. Now those lessons seem to be fading, maybe not everywhere, but surely here in the US.]

Power, Not Economic Theory, Created Neoliberalism

Neoliberalism didn’t win an intellectual argument — it won power. Vivek Chibber unpacks how employers and political elites in the 1970s and ’80s turned economic turmoil into an opportunity to reshape society on their terms.

Neoliberalism’s victory over Keynesianism wasn’t an intellectual revolution — it was a class offensive. To roll it back, the Left doesn’t need to win an argument so much as it needs to rebuild working-class institutions from the ground up. [...]

Melissa Naschek: Neoliberalism in general is a pretty hot topic right now among researchers, and one of the most common lenses is to focus on the role of ideas, theories, and thinkers in establishing neoliberalism.

The last time we talked about this topic, you dispelled a lot of common misconceptions about what it is and what it’s not. One of the questions that we’ve gotten a lot from listeners since then is, where does neoliberalism come from?

Vivek Chibber: Yeah, it’s very topical, but it’s also important for the Left, because getting to the crux of this helps us understand where and how important changes in economic regimes and models of accumulation come from. So it’s good for us to get into it in some more depth. [...]

* [ed. Historical discussion of Keynesism vs. Neoliberalism.]

Vivek Chibber: The mere fact that such ideas exist does not in any way give them influence. The question for us, for socialists and for the Left is, when do ideas gain influence?

It’s a profound methodological error, I think, when you ask the question, “Where did neoliberalism come from?” to look at the contemporary theorists or the contemporary advocates of neoliberalism and then, because they are influential today, trace the origins of their ideas back to where they first started and say, that is where the origins come from.

Melissa Naschek: How important was this debate in establishing or causing neoliberalism?

Vivek Chibber: Not even the least bit. It was largely irrelevant to it. In other words, even if this debate had never happened, even if Milton Friedman had not existed, even if Hayek had not existed, you would have still had a turn to neoliberalism, and that’s the key. This is what the Left needs to understand.

This does not in any way invalidate the intellectual project of tracing those ideas. It’s intellectually interesting. It’s an interesting fact that those ideas had been around for forty years, and they had no impact on policy. Some historians have done great work tracing these ideas back to their origin, but it’s quite another to say that it was the ideas themselves that in the 1970s and ’80s caused the turn to neoliberalism.

Now, it’s an easy mistake to make because when the change came, the change was justified with a highly technical economic apparatus, and people like Friedman were given the stage to say not just that these policies are desirable for political reasons, but that they make a lot of economic sense and that it’s rational to do it this way. That gives you the sense, then, that it’s these particular individuals and their intellectual influence on the politicians that makes the politicians make the changes.

But in fact, the order of causation is exactly the other way around. It’s the politicians who make the changes based on criteria that have nothing to do with the technical sophistication of the ideas or their scientific validity. They make the changes because of the political desirability of those changes, and then they seek out advice on a) justifying the changes so that the naked subservience to power is not visible or obvious — it makes it look like it was done for highfalutin’ reasons — And then b) of course, they do legitimately say, “OK, now that we’re committed to this, help us work it out.”

Melissa Naschek: Right, especially because as long as you’re still in capitalism, you’re going to be facing constant economic crises. Even if you’re instituting a new regime, you’re going to be constantly looking for new solutions.

Vivek Chibber: Yeah. And even short of crises, you’re going to look for ways of making the policies work smoothly. And you’re going to look for ways of coming up with the correct balance of instruments and policies within them. So you bring in Milton Friedman or you bring in somebody else.

Surface level, it looks like what’s driving the whole thing is these ideas. But I said to you that the ideas actually have no role to play in the turn itself. So that brings up the question, what does? Why did they do it then?

I just said a second ago that what drove it was political priorities, not intellectual feasibility. Well, what were the political priorities? Who were the politicians actually listening to? Ideas can matter, but they have to be made to matter.

There are only two key players when it comes to policy changes of this kind. The key players are the politicians, because they’re the ones who are pulling the levers. But then, it’s the key constituency that actually has influence over the politicians.

The least important part is intellectuals. You might say voters have some degree of influence, but really, in a money-driven system like the United States, it’s investors, it’s capitalists — it’s big capital. They’re the ones who are pushing for these changes.

That means that if you want to understand where neoliberalism comes from, or rather if you want to understand why it came about, the answer is, it came about because capitalists ceased to tolerate the welfare state.

Now, why did they tolerate the welfare state at all? Most people on the Left understand the welfare state was brought about through massive trade union mobilization and labor mobilizations and was kept in place as long as the trade union movement had some kind of presence within the Democratic Party, within the economy more generally, because those unions were powerful enough, employers had to figure out a way of living with them. Part of what they did to live with the trade unions was to agree to a certain measure of redistribution and a certain kind of welfare state. As long as that was the case, politicians kept the welfare state going.

This is why, in that era from the mid-1930s to the mid-1970s, Keynesianism or the economics of state intervention of some kind was the hegemonic economic theory. The theory became hegemonic because it was given respectability by virtue of the fact that everybody in power was using it. Because it’s being used by people in power, it has great respectability.

This is why, in the 1950s and ’60s, Milton Friedman was in the wilderness — same guy, same ideas, equally intellectually attractive, equally technically sophisticated, but he was in the wilderness.[...]

That little story tells you something. What it says is ideas that are going into the halls of power go through certain filters. And the filters are essentially the policy priorities that the politicians have already committed to. Now, what creates those priorities? It’s the balance of class power. Social forces are setting the agenda.

If the social forces, that is, say, trade unions and community organizations, have set the agenda for politicians such that they think the only rational thing to do is to institute a welfare state, then they will bring in economists who help them design a welfare state. That gives intellectual influence to those economists. Economists who are saying “Get rid of this whole thing” are cast out into the wilderness. That’s how it works. [...]

Melissa Naschek: How do theories that focus on this notion that ideas and thinkers caused neoliberalism suggest a certain set of solutions to neoliberalism?

Vivek Chibber: It’s a really good point and a very good question. It gets us back to the issue of, why should we care about this? What does it matter if you misunderstand the factors that go into a change in economic policies? What does it matter if you wrongly attribute influence to ideas, let’s say, over material interests? Well, it can lead you to propose wrong solutions.

This is a very good example of that. If you think that what’s behind dramatic shifts in policy is the influence of ideas per se, the brilliance of those ideas, then, if you think that neoliberalism is a catastrophe and we need to go back to social democracy, then your solution is going to be, “Let’s get some economists or political scientists who are really good theorists of social democracy and give them publicity — put them in newspapers, give them lots of op-eds, maybe try to get them a meeting in the White House or something like that.”

But if you think that what’s really driving these changes is the social balance of power — the power balance between capital and labor, between rich and poor — then you won’t pour your energies into getting the right people entrée into the halls of power. You’ll pour your energies into changing the class balance. That’s the difference between how people on what used to be called the Left approach these issues and the way in which mainstream theorists and thinkers approach these issues.

This kind of ideas-based analysis leads to a great man version of policy change, whereby you get the right person in the right place with the right ideas. And then, counterfactually, the reason we don’t have a desired change is that we haven’t managed to get the right people with the right ideas into the right places. That’s a great man theory of historical change.

But if you are a socialist on the Left, you know ideas get their salience because of the background conditions, the social context, and the power relations. They don’t get their influence because of simple brilliance, at least when it comes to politics. Science is a different matter. But in politics, they get their influence because some agency with social power gives them the platform.

Without that, I mean, if the power of ideas mattered and if the correctness mattered, we’d already have a social democratic government, and we would have had one for decades. Because not only are these ideas, we think in our arrogance, they appeal to everybody.

Zohran Mamdani’s ideas, Bernie Sanders’s ideas, are not radical the way the New York Times is constantly hammering that these are radical fringe ideas. They’re mainstream as can be. They are ideas that appeal to the majority.

Why do they not have entrée? Why do they not have political influence right now? It’s because the balance of class power is such that even though they appeal to the largest number of people, those people have no political organization. They have no way of effectuating their demands. And so, their demands as encapsulated in Sanders and Mamdani don’t have a lot of political influence.

So ideas can matter, but they have to be made to matter.

by Melissa Nacheck with Vivek Chibber, Jacobin | Read more:
Image:Dirck Halstead / Getty Images