Boss Detector

This guy and his boss-detector contraption go to show that you can’t force people to be productive against their will, no matter where they’re working from.

After being caught watching Netflix during work hours, an engineer named Pankaj decided not to give up his binge-watching habit but to foolproof his methods. He built an AI-powered device that monitors his workspace through a camera, uses computer vision to recognize when his boss is approaching, and instantly switches his screen from Netflix to his code editor. The system apparently works like a charm. There “no delay, no panic clicking, and no chance of getting caught again” and it lets him watch entire seasons of his favorite shows without interruption.

As others have pointed out, this is “peak engineer behavior,” and honestly the kind of talent I’d love to have on my team. The trick is keeping someone like this mentally engaged and energized by the work, so they bring that same creativity to the job itself. More often than not, that isn’t the case. The work that pays the bills is mundane, irksome, and leaves little room to innovate. So someone like him either whiles away their time, draining their talent on nothing, or they have an epiphany and strike out on their own.Back when people were raging against RTO there would be the occassional story about some over-employed young person, working four or five different jobs at once and creating layers of safety nets for themseleves. That did not go over well with employers and they imaged they could get a handle on their employees by brining them into the office. Obviously, this little computer vision hack cannot stand in the face of network monitoring which most companies have but the general premise of this "trick" still holds. People will always find a way to do what they want to do no matter how much effort is put into restricting them. It will just be the sprinboard for greater creativity.

Dry Reflections

Reading this Open Culture story in the waning days of Dry January was amusing. Nature works in mysterious ways and explains why such outliers like Churchill are possible but it wasn't without consequence:

As fellow Scotch enthusiast Christopher Hitchens revealed in a 2002 article in The Atlantic, some of Churchill’s most famous radio broadcasts, including his famous pledge to “fight on the beaches” after the Miracle of Dunkirk, were voiced by a pinch hitter:

Norman Shelley, who played Winnie-the-Pooh for the BBC’s Children’s Hour, ventriloquized Churchill for history and fooled millions of listeners. Perhaps Churchill was too much incapacitated by drink to deliver the speeches himself.

Earlier in the month, I was at dinner with a few folks from work and the waitress asked us if we wanted to order any drinks. Of the five people at the table, three including me were comitted to Dry January. The two others were not. Before the evening was out a third joined them for a class of sparkling wine. So that left the two of us. 

I asked L if she had felt any different and she said not really but like me she felt there was no harm going dry for a month even though there was very little to give up in the first place. For one thing it made me consider giving up other things that are no very useful, got me thinking of change and resets on a much broader scale. That might have been the biggest benefit of all. L discovered something new.

Alternate Universe

If you thought that American family law was already a toxic blend of high drama, high fees, and deeply personal turmoil, it promises to get worse if that's even possible. Pennsylvania’s state legislature recently decided that, going forward your dog is a family member at least when it comes to divorce paperwork. At least that’s the theory. It's almost like the legislators in that state had run out of useful things to rule make on, so they took up the cause of pets in divorce.

There’s something oddly millennial about a system that spent decades insisting pets are nothing more than piece of property, the legal equivalent of a loveseat and your late aunt's armoire, only to wave a magic legislative wand and say the dog is not longer akin to the loveseat and must be treated like the toddle. House Bill 97 makes the case that: pets are no longer “inanimate objects,” but “living beings generally regarded as cherished family members.” Judges must consider whether the cat likes tuna more when it’s in your apartment versus your ex’s condo. Alimony gets decided presumably the standard of living said pet had become accustomed to,

The opportunity for abuse of such law is terrific. It takes high-conflict divorce to some stratospheric level it hasn't yet seen. They will for sure be used for leverage, as Rep. Anita Kulik says, who likely has nightmares about people haggling over who gets the schnauzer and whether the hamster stays with the kid. This is not counting the billable hours of the lawyers who will be arguing over this craziness.

If this ever becomes law, I can imagine that the children (who are most negatively impacted in divorce) will fare much worse than they do now since pets (which can be fairly diverse and numerous in some cases) will take up a lot of resources at their expense. The folks that dreamed this stuff world clearly live in some alternate universe. 

Subscription Madness

This appears to be the brave new world of “Software as a Service,” except now it’s being applied to objects you once actually owned. LG has decided that the best way to enjoy a high-end OLED TV isn’t to buy it, but to rent it for the low, low price of up to £277 (around $350) per month. For roughly the cost of a luxury car payment, you too can enjoy the privilege of subscribing to a slab of glass that sits in your living room. Spend thousands of dollars over three years and, at the end of it all, have exactly zero televisions to show for your loyalty.

This particular stroke of corporate imagination calls to mind Lenovo’s recent flirtation with a mouse subscription. Because if there was one thing the modern consumer was truly clamoring for, it was the opportunity to pay a recurring monthly fee for the right to click on things. It takes a very special kind of marketing visionary to look at a peripheral that costs $15 at Best Buy (I paid $10 on Black Friday) and ask, “How can we turn this into a bill that follows the user to the grave?”

The most impressive aspect of these dead-on-arrival schemes is the sheer amount of money paid to the people who dream them up. While the rest of us are busy trying to figure out how to afford eggs, some executive at LG sat in a glass-walled boardroom and successfully argued that consumers would love to treat their television like a Netflix account, only with more hardware failures and a credit check. It’s almost admirable. It takes a staggering level of detachment from reality to believe that “uninterrupted viewing pleasure” is a service worth more than the physical product itself.

There has to be a limit to how far subscription creep can go before the public collectively loses its mind. Between renting your TV from LG and subscribing to your mouse from Lenovo, we’re clearly on a path toward a toaster that requires a monthly “Heat-as-a-Service” tier to brown your sourdough. And when the repo man shows up to reclaim your 77-inch OLED because you missed a payment, you can take comfort in knowing you helped some “disruptor” hit their quarterly KPI targets. That’s called earning good karma.

Performative Science

The comments on this Ars Technica post say everything that needs to be said. The stance on display is so bizarre that it strains credulity that someone in public office could hold it in good faith. At some point, one has to accept that certain people are willfully choosing alternate “facts” and realities, not out of ignorance, but in defiance of their own better judgment, but for reasons the rest of us are left to reverse-engineer.

A friend of mine who’s a history buff found the whole thing depressingly understandable. History, after all, is littered with precedents. She pointed to Elizabeth I. During the reign of her Catholic sister, Mary I (“Bloody Mary”), the Protestant Elizabeth lived under constant threat of execution for heresy. To survive, she dutifully attended Catholic Mass and publicly professed Catholic devotion, even as she remained the great hope of the Protestant cause. The reward for this performance was survival, long enough to inherit the throne, at which point she promptly reversed course and established the Church of England. To contemporaries, her piety may have looked like betrayal; in reality, it was self-preservation.

If that is the template being followed here, then rest assured: these very people will be first in line to vaccinate the infants in their lives against polio, with every trace of evidence scrubbed away afterward so the performance can continue uninterrupted.

As the article notes, Milhoan, a pediatric cardiologist, declared—without irony—“I don’t like established science,” and that “science is what I observe.” He went on to dismiss the evidence-based methodology that previous ACIP panels used to carefully and transparently craft vaccine policy. We have now arrived at that point in this spiral of madness where personal intuition is allowed to trump epistemology in science.

My grandmother, with her second-grade education, used to hand out amulets to keep her grandkids from having bad dreams. Everyone humored her because she meant well. I’m sure she had “observed” the efficacy of her method for decades, why would any evidence be needed at that point? The only real difference is that she didn’t hold public office. Perhaps that was the mistake.

Using Air

A new design concept called the Aircrate is reimagining how we protect fragile goods in transit and it does it by asking a simple question: what if the customer supplied the air instead of the packaging supplier? Developed for artworks like paintings that are often swaddled in yards of plastic bubble wrap, the Aircrate uses a reusable, inflatable sleeve that fits inside a rigid outer shell. Once at its destination, the sleeve can be deflated, folded, and stored flat, dramatically reducing the bulk and waste associated with traditional packing materials.​

On the surface, the Aircrate is a clever niche solution for galleries, museums, and art handlers that routinely move high‑value pieces in and out of storage. Instead of spending staff time custom‑wrapping each object in single‑use plastic, handlers slide the work into the Aircrate, close the shell, and inflate the internal chambers to create a snug, cushioned fit. When a show ends or a loan concludes, the system is quickly deflated and ready to be reused on the next piece, turning a tedious wrapping ritual into a repeatable, semi‑automated process. Sounds so simple and obvious but that is the smartness of the innovation.​

The approach has big implications for sustainability and circularity. Traditional protective packaging is notoriously hard to recycle at scale and often ends in landfill after a single journey. A well‑designed, modular crate with an inflatable liner reduces raw material use over time, cuts down on trash, and shrinks the storage footprint between uses. For institutions managing hundreds or thousands of objects, that translates into real environmental gains and lower operating costs, especially as regulations and clients push harder on waste reduction.​

The design also hints at a future where protection is increasingly adaptive rather than static. Because the internal air volume can be tuned on the fly, the same outer shell could, in principle, accommodate slightly different sizes or profiles, or respond to changing risk profiles in transit. Layer in sensors or smart valves down the line, and you can imagine crates that monitor pressure, shocks, and temperature in real time, turning what used to be “dumb foam” into a responsive, data‑rich interface between object and logistics network.​

Seen in this broader context, Aircrate is less about replacing bubble wrap and more about prototyping a new class of packaging: durable, modular exoskeletons paired with lightweight, user‑supplied inflation. From consumer electronics and medical devices to reusable e‑commerce shippers, the same principle could unlock systems that are easier to store, cheaper to move empty, and vastly less wasteful. For designers, it’s a reminder that some of the biggest opportunities in sustainability aren’t glamorous new materials, but smart rethinks of where bulk, air, and effort really need to live in the lifecycle of a product.

Randomized Tests

I think this is a larger grocery trend beyond Instacart to have personalized pricing, they just happened to be reported on about it. Instacart customers just learned that the price you pay for a carton of eggs or a box of crackers on the app may depend less on the store and more on which invisible “bucket” Instacart has placed you in. A new study from Groundwork Collaborative, Consumer Reports, and More Perfect Union found that shoppers buying the exact same products from the exact same store at the exact same time were routinely shown different prices, sometimes nearly 25% apart. Over hundreds of test carts, the totals varied by an average of 7%, suggesting that algorithmic experimentation is quietly reshaping what people pay for their weekly groceries. This is dynamic pricing taken to a different level. ​

To understand how this works, researchers recruited 437 volunteers across four cities and had them build identical Instacart baskets from specific Safeway and Target locations in tightly synchronized sessions. Despite controlling for store, time, and product mix, nearly three‑quarters of all items showed multiple prices, with some products appearing at five distinct price points across different shoppers. One example at a Safeway in Washington, D.C., saw a dozen Lucerne eggs listed anywhere from $3.99 to $4.79 at the same moment, while a similar test in Seattle found Oscar Mayer deli turkey and Wheat Thins varying by as much as 23% between the cheapest and most expensive offer.​

Instacart hasn’t denied this behavior; in fact, it has confirmed that a subset of about 10 retail partners that already mark up prices are running “limited, short‑term, randomized tests” on its platform. The company argues that these experiments are analogous to in‑store price testing and are meant to help retailers understand consumer preferences and keep essential items affordable. At the same time, Instacart admits it also scrapes prices from retailers like Target, who say they have no direct pricing relationship with the company, and then applies its own upcharges to cover operating and technology costs, further complicating the picture. It is unclear why Target and other big retailers wouldn't block such scraping activities. ​

What makes this feel especially murky to consumers is the blend of “randomized” testing and data‑driven targeting. Instacart told Consumer Reports that its own experiments do not use personal or demographic data, insisting that shoppers are randomly assigned to different price groups. Yet the company’s acquisition of Eversight, an AI‑powered pricing and promotions platform, gives brands the ability to continuously test customized prices and offers at the individual‑customer level, online and in‑store. Even if Instacart distinguishes between its own experiments and those run by brands, the net effect for shoppers is the same: different people see different prices for the same item based on opaque conditions they cannot see or control.​

For households already struggling with food inflation, these variations are more than a curiosity. The investigation found that, across identical carts, bill totals differed by an average of about 7%, and that consistently landing in the higher‑priced cohort could cost a family up to roughly $1,200 a year in extra grocery spending. That kind of stealth premium is especially troubling because it is effectively hidden inside an interface that appears to show standard shelf prices plus clearly labeled service fees. Consumers don’t see a banner warning that they are part of a live pricing experiment, they only see a total that may be quietly higher than what their neighbor pays. What is worse they have no way of knowing why they were placed that magic bucket. Maybe the audience data suggests that they have the means and willingness to pay more for groceries than they neighbor who with same means lacks the willingness.​

The Instacart case is a vivid example of how “surveillance pricing” and AI‑driven experimentation are reshaping everyday commerce without meaningful transparency. Retailers and platforms have strong incentives to probe for each customer’s willingness to pay, but shoppers have almost no visibility into when they are being tested, or how to opt out. Most importantly, if they can in fact opt-out. The data aggregators abound and new ones are cropping up all the time, so there is no way to enforce an universal opt-out. As AI‑enabled pricing tools like Eversight spread through the grocery sector, expect more scrutiny from regulators, consumer advocates, and the public over where to draw the line between smart optimization and unfair discrimination and renewed calls for clearer disclosures any time an algorithm is allowed to decide how much your groceries should cost.

Algorithmic Resistance

I watched Human in the Loop recently and felt it represented a profound shift in digital power. It brought to mind the biblical sentiment that the "meek shall inherit the earth." We see this through the eyes of tribal women in Jharkhand, India, who serve as the invisible bricklayers of our digital future. While data labeling is dismissed as menial work, these women are performing the very meaningful work of "algorithmic resistance." By labeling images from their own villages and lived experiences, they inject their own cultural DNA into systems that have historically skewed Western, white, and male.

This manual intervention creates a crucial "counter-bias" that balances the scales of artificial intelligence. In one striking scene, a labeler named Nehma sources data from her own community, and when the AI image generator is tested, "beauty" no longer defaults to a blue-eyed blonde; it begins to look like her. This isn't just a technical adjustment; it is an act of reclaiming the narrative. If bias is used deliberately and transparently by labelers on the ground, it acts as a corrective force that offsets the structural biases introduced by high-level developers and skewed training sets later in the pipeline. It brings to mind how foundational Indian cuisine has permeated the West, an abiding reminder of how an oppressed and colonized people can leave an indelible, defining cultural impression.

The dynamic between low-wage, impoverished data labelers and the obscenely compensated masters of the AI universe creates an unexpected bridge between the rich and the poor, the "skilled" and the "unskilled." For years, the tech industry has operated on a top-down model where Silicon Valley dictates the "truth" of the world. However, as AI becomes more dependent on subjective human judgment, the lived experience of a woman in rural Jharkhand becomes just as—if not more—valuable than the code written by a software engineer in San Francisco. The "unskilled" labeler becomes the essential gatekeeper of reality, ensuring that the AI of tomorrow reflects a global village rather than a gated community.

Through the movie, I felt I was witnessing the democratization of "truth" through the most unlikely of channels. By embracing their own biases rather than trying to mimic a Western standard, these women are forcing machines to see the world in its full complexity. This shift suggests that the future of AI doesn't have to be a monoculture. Instead, by putting the "human in the loop" in places like Jharkhand, we create a global equilibrium where the power to define what is beautiful, valuable, and "real" is shared by all, regardless of their zip code or economic status.

Virtual Mourning

When news breaks about layoffs at a company the size of Meta, it usually lands as abstraction backed by platitudes about how it was a hard decision not taken lightly etc. But the recent cuts that effectively froze the future of Supernatural, Meta’s VR fitness app, tell a quieter and more intimate story. What’s being mourned isn’t an upended product roadmap. It is the end of the road for a routine, a community, and for many users, a practice that helped them feel better in their bodies and lives.

Supernatural was never just “working out in a headset.” For its users, it became a daily ritual and a rare bridge between movement, motivation, and connection. People showed up at the same time each day, recognized familiar usernames, and cheered one another on across virtual landscapes. For some, it was the first fitness habit that stuck. For others, it was a lifeline during isolation, illness, or recovery. When Meta announced that no new workouts, music, or features would be added, the grief that followed made sense: this wasn’t software going end-of-life, it was a shared space quietly losing its future.

What’s striking is how poorly our customary tech language accounts for this kind of loss. Products are supposed to be disposable; platforms are meant to scale or sunset. And yet, again and again, users form real attachments to digital environments that support their wellbeing. The Supernatural story exposes the mismatch between how companies categorize products and how people actually live with them.

The most meaningful technologies aren’t always the loudest or most hyped. Sometimes they’re the ones that show up quietly, day after day, helping people move, breathe, and feel less alone. When those tools are sidelined by shifting corporate priorities, something human is lost. The mourning around Supernatural isn’t irrational nostalgia; it’s evidence that even in virtual worlds, community and care are not easily replaceable.

Struggling Orchid

My living room is home to several orchids, all gifts that have somehow survived my lack of gardening gifts. For a long time, we had a good rhythm, until last year, when one started showing wilted leaves. That sent me down a rabbit hole of research, trying every remedy I could find. At one point, I thought I saw a single leaf looking livelier, but it was likely just wishful thinking. It’s a frustrating cycle of reading advice, trying a "fix" like grouping them for humidity or separating them for "breathing room," and never really knowing if the problem I’m solving is the one my plant actually has. It is not even clear to me what the problem would look like even if it stared me in the eye.

While my other orchids are thriving, this one remains in a strange sort of stasis - not getting better, but not quite dying either. I like to think it’s giving me a grace period to redeem myself and find the right solution, but every morning I look at it and realize it hasn't "turned the corner" yet. My grace period might be up sooner than I expect. My goals have shifted over time; I’ve traded the audacious dream of a full rebound for the humble hope that it simply stays green. You’d think meeting that reduced expectation would feel like a win, but looking at those reluctant leaves, unable or unwilling to thrive, never truly feels like a victory.

This orchid has started to remind me of a childhood friend. She was tall, pale, and severely underweight, an outlier who drew the concerned eyes of every mother in the neighborhood. Her mother was tireless, dutifully trying every suggestion and remedy offered by her peers including my own mother, yet nothing seemed to make a difference. In any group of kids, she stood out because she simply wasn't where the rest of us were physically. She was likely more cared for and fussed over than any of us, yet she remained fragile while we grew easily, like my other orchids that do just fine with minimal attention.

The story of that friend ended abruptly when her father, who was much older than ours, retired during our teens. Her family moved away, and just like that, the "outlier" among us was gone. Now, as I stand in my living room, I’m left with this struggling plant that mirrors that memory. It’s a living reminder that sometimes, despite the best intentions and the most diligent care, some things exist in a space that we can’t quite reach or fix, no matter how much we want them to flourish. Maybe I am meant to run out of window of grace and accept what comes at the end of it.

Recession Vibe

I am astounded by the price of groceries these days like most people, so found this essay a timely and interesting read. Economic worry is translating into a search for reliable recession signals, but the landscape of indicators is more complicated and sometimes weirder than it seems. While official markers for a recession are tracked by serious economists and institutions like the National Bureau of Economic Research, pop culture is full of colorful “recession indicators,” from falling cardboard box sales to rising law school applications to consumer shifts toward instant noodles and generic products. Alan Greenspan’s “Underwear Index” and theories tying hemlines, lipstick sales, and even Halloween spookiness to economic decline have made their way from folklore to meme, but not all are supported by rigorous analysis or consistent historical patterns.

Traditional recession gauges, such as unemployment, falling industrial production, and changes in short- versus long-term interest rates, still set the formal definition. Yet, as the article notes, consumer behavior can offer early clues about the economic mood. For example, rising sales of Hamburger Helper and decreased luxury spending reveal consumer belt-tightening before official data catches up. People look for comfort, bargains, and “vibe checks” from their own spending and the anecdotes shared online, seeking a sense of foreseeability amid economic fog. Social media is awash with recession memes and talismanic signals, indicating both anxiety and a hunger for control over one’s circumstances.

However, not all so-called indicators are reliable. Cultural shifts, fashion trends, and product popularity can be shaped by everything from the weather to marketing to shifting tastes, making it risky to derive big economic predictions from small signs. Past statistical analyses have confirmed the value of some quirky indicators (like demand for cardboard boxes, a reliable proxy for goods production and shipping activity), but others, such as the hemline index or candy sales versus soda, tend to break down on closer scrutiny. The key is understanding which signs reflect broad-based changes in spending and production, not fleeting fads or idiosyncratic preferences.

America’s current uncertainty is reflected not just in economic numbers, but in the headlines and conversations about what will happen next. Statistics like the recent fall in cardboard box shipments—at their lowest since 2016, suggest a downshift in confidence and consumer spending, even as official data has yet to confirm a recession. While the US hasn’t dipped into a technical recession yet, many people feel uneasy, watching for any sign that might corroborate their everyday experience of rising prices and limited prospects.

Ultimately, this collective focus on oddball indicators does more than amuse or distract, it provides people with a narrative to organize their worries and validate their anxieties. In a moment when experts can’t say with certainty what will happen next, and when a “vibe check” can feel more truthful than an economic forecast, the spread of recession memes is a way for folks to hold onto a little control. While some indicators are grounded in reality, many others simply reflect our desire to make sense of uncertainty, and to find solidarity in the face of an unpredictable future.

Hard Returns

The story about an NRI who finds returning to India harder than moving to the United States struck a nerve. We speak often of brain drain and the cruelty of immigration systems abroad. Far less attention is paid to the "million paper cuts" that define the difficulty of coming back. Return is often romanticized as a soft landing or a reversal of exile, but in practice, it can be the steepest climb of all.

I learned this the hard way. When my marriage ended, my daughter, J, was only three months old. Returning to India felt like the natural choice; I had worked there for four years before moving to America, I had supportive parents, and I spoke several Indian languages. I assumed, somewhat naively, that I could find work, stabilize, and rebuild. I wasn’t seeking nostalgi, just a place where the ground would hold while I found my footing.

Getting back was easy; staying was a slow accumulation of friction. Finding a job that fit my experience and my constraints as a single parent felt impossible. I was no longer twenty-two and unconstrained. I needed safe housing, reliable transit, and proximity to essentials. Most importantly, I needed the ability to move through life without constant negotiation or dependence. These were not dramatic failures, but small, jagged obstacles that added up to pure exhaustion. The systems weren’t deliberately hostile, but they weren't built for someone in my position. I had made a life choice that the India of that day simply did not support.

When I eventually returned to America, it wasn't because the immigration process was kind; it remained a grinding background hum. But my daily life ceased to be a fight to the finish. I could manage daycare and work without a dozen contingency plans. I could spend weekends with my child instead of managing the logistics of existence. Life became livable, which was the least I could ask for us.

This is why framing return as a moral obligation or emotional inevitability rings hollow. Return is an infrastructure problem that no feeling can overcome. Now an empty nester, I want to work while visiting my parents in their Kolkata suburb, but the lack of reliable broadband makes it impossible. I cannot ask them to uproot their community for my connectivity, so I see them less.

The real question is whether India can absorb the complexity of lives of those who are not twenty-two, unencumbered, and infinitely flexible. Can it hold those who arrive carrying responsibility, grief, or children. Countries do not lose people only when they leave; they lose them when coming back feels untenable. Until return is treated as a practical, supported choice rather than a sentiment, these stories will persist.

Dessert Supper

A well-executed chocolate cake can absolutely stand on its own. If dessert were a meal, it would qualify without argument. Growing up, I learned that dessert could be a meal, but only under specific conditions. You skipped the previous meal and waited until you were genuinely hungry before eating again. Dessert-as-a-meal was permitted a couple of times a year, and I unfailingly used my quota. That habit has stayed with me, and I still honor that twice-a-year rule.

While I’ve never gone so far as to make a chocolate cake the only course on any of those occasions, I can see how it would be entirely valid. Nigella Lawson certainly makes the case. In the preface to her Guinness Chocolate Cake recipe, she calls chocolate cake “the basic unit of celebration,” describing this particular one as simple, deeply pleasurable, and fully capable of standing alone. It’s hard to argue with that kind of authority.

As it happens, I do have a lone can of Guinness in the fridge, one that’s been sitting there for quite some time. I also have a stash of artisan chocolate gifted by a friend who insisted it would be perfect for baking. It feels a little like the stars aligning, perhaps for my first dessert-as-a-meal of the year, this cake could be the centerpiece. Nothing can possibly wrong with such a plan.

I’ve also been experimenting with homemade ice creams after receiving an ice-cream maker as a gift. This is one of those kitchen applicances I would never have bought myself, but now that I have it, the possibilities feel endless. The ice cream I’d pair with this cake would likely lean floral or citrus, or perhaps a subtle combination of both. And to keep with tradition, I’d add a Bengali mishti (or two) to the mix; there are far too many good options to ignore. Just imagining such a meal is already half the pleasure.

Anti Knowledge

I would love to read GN Devy's book but need to work through my endless backlog first. This article made for interesting read though. 

the question the excerpt tries to answer is a germane and timely question: is India drifting toward becoming an “anti-knowledge nation”? Drawing from pieces written between 2014 and 2025, Devy argues that while India publicly celebrates its identity as a “knowledge country,” its current intellectual climate reveals a growing discomfort with critical inquiry, pluralism and universal scientific traditions. He sees a widening gap between the rhetoric of a knowledge-powered nation and the actual erosion of conditions needed for genuine scholarship. My own experience of learning while in India is very dated but if I draw from there, I would argue there was little support if any for critical reasoning and challenging the axioms upon which the entire edifice is built. I had always found that problematic.

Devy situates his critique in a long historical arc. He notes that Indian learning traditionally emphasized memory, oral transmission and apprenticeship rather than the abstract, symbolic, universal systems of knowledge that emerged in Europe after the seventeenth century. These universal forms. These were built on logic, rational inquiry and shared symbolic systems and became the foundation of modern science and global intellectual exchange. India, he argues, never fully democratized access to such knowledge due to centuries of caste- and gender-based exclusion. And I would add to that India does not support a culture of vigorous, no-holds barred debate between student and teacher. It would go against the culture of respect for elders (and the better educated). Just that diminishes possibilities a great deal.

The historical divide between memory-based traditions and symbolic, universal learning did not disappear with modernity. Instead, Devy warns that recent political and educational trends risk deepening this divide. Efforts to revive or glorify a selective vision of “ancient Indian knowledge” may appear culturally affirming, but they often come at the expense of the critical, questioning spirit essential to modern scholarship. Reverence has begun to substitute for reasoning, and ideology increasingly shapes what is taught and researched.

According to Devy, this shift has profound consequences. When universities privilege tradition over inquiry and conformity over debate, they create an intellectual atmosphere hostile to dissent and skepticism. Such a climate threatens scientific thinking, innovation and the ability to engage with global knowledge networks. Even more troubling, it repeats old patterns of exclusion by neglecting the plurality of India’s linguistic, tribal and marginalized knowledge systems, many of which remain fragile and underrepresented.

Devy argues that if India continues down this path, it risks hollowing out its own intellectual foundations. A nation that claims to be a “vishwaguru” cannot simultaneously undermine the conditions that make knowledge possible which include freedom to question, diversity of perspectives and openness to the world’s intellectual traditions. Without these, India may end up with a heritage of memory but little capacity for modern critical thought.

He offers a different vision: one where India embraces its immense linguistic and cultural diversity while also engaging fully with universal scientific traditions. Knowledge, he suggests, should not be reduced to nostalgic pride nor confined to ideological boundaries. Instead, India must foster an ecosystem where oral traditions, local histories and modern rational inquiry coexist and enrich one another. Only by protecting pluralism and nurturing critical thinking can India truly become the knowledge nation it aspires to be.

Looking Ahead

No news here in this story about the struggles of new college grads finding jobs. But the numbers are sobering still. I know some parents of kids who are graduating college this year who are acutely concerned if their children will find any job at all let alone something they'd consider desirable given their top-tier college credentials.

For decades, earning a college degree has been seen as a fast track to employment for young adults, giving graduates a clear advantage over those with only a high school diploma. However, recent research from the Federal Reserve Bank of Cleveland suggests that this advantage is fading. The study finds that young college-educated workers are now finding jobs at roughly the same rate as their high-school-educated peers, signaling a major shift in the labor market. If there is no incremental value the cost of college will be just about impossible to justify for all of those who see it as the path to better employability, not way to become better educated and evolve as a human. 

According to Cleveland Fed researchers Alexander Cline and Barış Kaymak, the decline in job-finding rates for young college graduates reflects broader trends in white-collar employment. Monthly employment data released in November 2025 showed a rising unemployment rate among college-educated workers, driven in part by slower hiring and automation trends, including investments in artificial intelligence.

The impact is especially pronounced for workers aged 20 to 24, whose unemployment rate reached 9.2% in September of last year, up 2.2 percentage points from the previous year. For this age group, the historical advantage of having a college degree in quickly landing a job appears to be disappearing. The study notes that the decline in job-finding rates for college graduates has been steady since around the year 2000.

Despite these shifts, college graduates retain some benefits compared with high school graduates. They generally enjoy greater job security and higher wages once employed. As the labor market evolves, young workers and their families may need to reconsider the value proposition of a college degree. While higher education still offers long-term benefits, it may no longer guarantee a faster or easier entry into the workforce. This shift underscores the importance of adapting career expectations and strategies to a changing economy. Not being able to enter the workforce on time and at an acceptable level adjusted to education is can have consequences that last a lifetime,

Super Glut

The modern job market has become so distorted by technology that even highly qualified professionals are struggling to get a single callback. The Business Insider article follows the experience of Magdalena Robinson, a former vice president of talent acquisition who assumed that, of all people, she would know how to navigate hiring. Eleven months and 300 applications later, she has no offers. 

This is a situation increasingly common among mid-career workers with solid résumés and decades of proven performance. The disconnect between talent and opportunity has deepened to a point that even experienced recruiters can no longer make sense of it. The conditions are much more dire for early career folks who don't have enough to go on their resumes and are competing against against large number of people just like them, undifferentiated and interchangeable with each other and generally replaceable by AI.

While some of the pain reflects a cyclical slowdown in white-collar hiring after pandemic overexpansion, the deeper problem is sheer volume. The convenience of modern job-application tools has generated a level of congestion the hiring market cannot absorb. According to Greenhouse data, the average job now receives 242 applications which is nearly three times the number seen in 201. This ends up giving each applicant a 0.4% chance of landing the role. At marquee companies, the odds are worse. What was once a targeted, effortful process has become a statistical lottery. You could have better odds winning money gambling in a casino than landing a job these days. 

This glut hasn’t created a recruiter’s paradise; it has triggered institutional paralysis. HR teams, already downsized, now face hundreds of résumés per role, many from poorly matched candidates who can apply with a single click. Recruiters respond by skimming only a portion of the stack or prioritizing referrals, inadvertently filtering out strong applicants who happen to be buried deeper in the pile. Companies, paradoxically, report both an overwhelming number of applicants and a scarcity of genuinely hireable candidates. 

It’s the textbook definition of a congested marketplace, as described by economist Alvin Roth: too many signals, too little meaning. In my own neck of the woods, we have need for tech talent across multiple teams and yet, hiring managers don't get any resumes worth looking at for months. The recruiters are not able to plough through the hundreds of resumes they get and winnow out even a handful that are worth and initial conversation. The few recent hires I've seen made are confusing at best. It's completely unclear how the person got the job because in more normal times, they would not have been considered a fit for the role. These days, that is best we can do unless we want to drag the process out another six months.

The arrival of generative AI has poured fuel on the fire. Candidates, frustrated by silence, turned to ChatGPT to tailor résumés, rewrite cover letters, and even mass-apply via bots. Seventy-four percent now use AI in their job search, which has dramatically increased the number of applications per role while lowering their relevance. Employers, however, have been far slower to adopt AI on the screening side, fearing regulatory backlash and discrimination lawsuits. As a result, candidates are applying faster than companies can evaluate them, widening the mismatch with every passing month. The pressure created by this lack of sync between demand and supply side is plainly visible to those who need and want to hire. 

Some platforms are experimenting with behavioral solutions borrowed from online dating. The want to create the hiring equivalent of a “super like.” Greenhouse’s “Dream Job” feature allows applicants to flag the one role they truly want, and early data shows these candidates are hired at much higher rates. LinkedIn’s “Top Choice” button serves a similar function. These signals may help recruiters differentiate genuine intent from the noise of mass-application behavior, but they do not fundamentally fix the structural breakdown. Without scalable tools that can sort, evaluate, and interpret massive applicant pools, the market cannot regain equilibrium.

In the meantime, individuals like Robinson are left stranded in a system that no longer rewards experience, potential, or human judgment. A recruiter who once prided herself on recognizing talent now works at a grocery store so her daughter can continue figure skating. Her story reflects the larger tragedy of a job market that has become too big, too automated, and too tangled to serve either side well. Until hiring technology evolves to match the speed and scale of applicant technology, without sacrificing fairness, the market will remain gridlocked, leaving even the most qualified workers fighting statistical entropy rather than competing on merit.

Trojan Horse

Reading this article on Huffpost got me thinking about root cause. If education was no longer about score-keeping and a tool to grant or deny access to opportunities, maybe students will not feel so compelled to use AI so mindlessly. 

When an instructor began suspecting that students were submitting AI-generated essays, they didn’t rely on software alone, instead they decided to set a trap. Using a tactic sometimes called a “Trojan horse,” the teacher hid a piece of text in the assignment prompt that was invisible to students but detectable by AI tools. In effect, any student who fed the prompt into a generative AI would embed the hidden cue, betraying that their work originated from the tool, not their own mind.

The results were bracing. Out of 122 submitted papers, 33 were clearly written (or significantly altered) by AI. That’s more than a quarter, a figure that shocked the professor and prompted them to share the outcome with the class. A further 14 students admitted to using AI when confronted, bringing the total number of confessions to nearly 39 percent of the cohort. This was not a fringe problem: it was sizable and systematic.

The professor inserted a deliberately misspelled and nonexistent term, “Marxim”, into the assignment prompt itself, but in a way that no human student would ever see. It was placed in white text, making it invisible on the page unless someone highlighted the entire document.

A generative AI, however, reads raw text, including hidden or white-font text. So when a student copied and pasted the prompt into an AI tool, the model would ingest the invisible “Marxim” and treat it as a legitimate concept connected to Marxism. But catching cheating is one thing; proving intent is another. The instructor pointed out a major challenge: even though generative AI can produce polished sentences, it’s hard to prove malpractice. AI detectors are imperfect, and many students can’t articulate why they ended up with ideas they didn’t fully understand. Some claimed they had used the AI simply because it “sounded smart” or made arguments feel more academic, without grasping those arguments themselves.

Beyond accountability, the professor raised a deeper concern. They argued that the ease of using AI in academic writing erodes the very point of education. If students hide behind shiny, AI-fired prose, they lose the opportunity to grapple with arguments, make mistakes, reflect, and internalize knowledge through effort. For the professor, allowing students to lean on AI without pushback is tantamount to abandoning the intellectual rigor that education is supposed to foster.

There’s also a moral and philosophical dimension. The teacher wrote that while they prize clear thinking and honest effort, what they’ve seen suggests a growing willingness to outsource thinking altogether. They worry that too many students are treating assignments not as opportunities to learn, but as problems to be solved by a machine. That shift risks reducing education to a transactional game rather than a transformative process.

Ultimately, this trap was more than a tool for catching cheaters, it was a warning sign. The professor urged colleagues and institutions to reckon with the reality that AI isn’t just a new form of plagiarism, but a cultural tributary threatening how students engage with ideas. Without more intentional pedagogy and structural change, the very purpose of academic work may be hollowed out.

The way the system is set up currently, there is no "real" value attached to learning for the sake of learning. The learning has to be converted into test scores, grades and the like which in turn translate to value. Maybe there is now an opportunity to change that system from the ground up, rethink what should actually be assigned value.

Kitchen Stocking

 Staying at Airbnb  has proven more and more unreliable over time and I have been a long time user. Finding one that actually meets expectations has become harder and the subpar quality more the norm. Now there is a new scheme to fleece the user by integrating with Instacart. 

Airbnb’s decision to pilot a “kitchen stocking” service in partnership with Instacart sounds like a convenience win, but scratch the surface and it raises a bunch of red flags. According to TechCrunch, guests will be able to order groceries through the Airbnb app before check-in, and selected hosts in Phoenix, Orlando, and Los Angeles will be paid $25 per completed order (plus a $100 bonus for the first). (TechCrunch) On paper, it’s a slick integration, but what happens when Airbnb starts moonlighting as a grocery concierge?

First, there’s a question of motive: this feels less like altruistic guest service and more like a monetization play. Airbnb launched its “Services” business earlier this year to push into everything from massages to chef-prepared meals. (TechCrunch) Adding Instacart orders to that portfolio isn’t just about making stays more “homey”, it’s about creating a new revenue stream. If hosts can easily opt in and get paid for stocking, Airbnb effectively turns them into part-time logistics operators. How many hosts will feel pressured to participate just to stay competitive, or to unlock that bonus?

Then there’s the risk for hosts. While, $25 sounds like a fair per-order token if we are being generous, but it doesn’t cover all the hassles. Hosts need to accept deliveries, organize groceries, remove packaging, and stash everything away neatly before guests arrive. (Airbnb) That’s not trivial labor, especially if they’re juggling other responsibilities. And if an order goes wrong, spoiled food, incorrect items, or guests complaining, who holds the bag? Let’s not pretend every host is thrilled to take on that risk for a small payout. The guest might be peeved to see their order was not fulfilled per expectation and costed them more than they expected. This is not a the best kind of surprise to start a vacation.

From the guest side, the pitch is “feel at home from day one”. Not sure where the novelty lies as self-service grocery apps already existed. Critics pointed out (echoed in Engadget’s coverage) that guests could just place their own Instacart order and leave it to deliver after they arrive. (Engadget) Why funnel that through Airbnb, unless the goal is to keep more spend locked within their app ecosystem? Rather than empowering guests, this could be about locking them in. It would be one thing if Airbnb was partnering with local suppliers and stocking the home with fresh and local goods that the guest would have to spend tine and effort to find on their own. I can imagine a service where Airbnb asks me about what kind of food I'd like to taste during my stay and stock the kitchen accordingly, save me the time to go find the local specialties. What they are proposing is a far cry for that kind of real value add.

Another concern: privacy and access. Inviting someone else into your listing to unpack your groceries feels benign, but it normalizes a shift. Now hosts will routinely handle guest property before they check in. For guests, that means less boundary. For hosts, it means more responsibility and more exposure: what if something goes missing, or the guest misinterprets how items were handled and holds the host accountable? Airbnb’s trust framework already has cracks; this could widen them. What if the guest winds up dead from food poisoning, who will be held responsible?

Finally, even if the pilot is successful, scaling it could fundamentally change how Airbnb works. If “stocked kitchens” become a norm, we risk turning hosts into mini-hotels, stripped of the personal touch and spontaneity that made Airbnb unique. The more hosts become service providers, the more Airbnb looks like a traditional hospitality chain. but without the infrastructure or support that hotels enjoy. And when that revenue model shifts, so does the user-host relationship: it’s no longer a sharing economy, but a commoditized one. For the longest time the breakfast component has been missing from Airbnb expect in the name, You are lucky if the host provides tea and coffee supplies. In the early days, I remember having breakfast with the host in their kitchen. It was the time to get to know them, learn about the town, get recommendations on what to see and do. It was the most memorable part of the stay.

Airbnb’s Instacart play may seem clever. But unless it’s managed thoughtfully, it threatens to turn homes into fulfillment centers, leaving hosts doing the legwork and guests paying for loyalty inside the app. We shouldn’t be so quick to cheer “more convenience” when it may be a repackaged bid for more control.

Walkaway Wives

In midlife, many women are reaching a breaking point, not because of infidelity or a dramatic affair, but simply because they’ve had enough. The Independent paints a picture of “walkaway wives” who quietly decide to leave long-term marriages after years of being sidelined. For these women, divorce doesn’t come from a sudden betrayal; it comes from a slow accumulation of neglect, unmet emotional needs, and unspoken resentment. One 53-year-old interviewee describes a dinner conversation where she realized for the hundredth time that she just wasn’t being seen. Reading this brought to mind many women I know who either know they will walkaway or already have. 

This trend, the article argues, marks a shift in who initiates divorce. Whereas in earlier decades, men were more likely to leave marriages in their 40s or 50s, now women in midlife are doing so at rising rates. According to a new report from a partnership between law firm Mishcon de Reya, wealth manager Julius Baer, and a women’s midlife platform called NOON, almost half of divorces are now initiated by women, and most of them simply because they feel unhappy. Surprisingly, 64 percent of these women said their decision wasn’t prompted by infidelity, but by a deep emotional exhaustion. It seems like a positive turn of events for women generally, that they have come to realize they are not mandated to remain unhappily married and options exist even if somewhat scary. More and more when we travel, I see women my age and older traveling solo or in small groups. There are no men around and no one looks miserable from what I can tell.

Part of the pressure many of these women face at the time of reckoning, it seems comes from the onset of menopause and its relational fallout. As the Independent notes, hormonal changes, loss of intimacy, and psychological strain all feed into a sense that the marriage they built no longer fits who they are. This moment of life, once framed purely as a “midlife crisis”, is being reinterpreted instead as a time of reckoning and reclamation, when women stop tolerating unfulfilling marriages and decide to chart their own course, regardless of what their partners think. The "for the sake of the children" narrative turns invalid at this point in their lives, so a woman must think and live for her own sake for a change.

Yet the practical realities of leaving are far more complicated than simply saying “I quit.” The report reveals a stark financial confidence gap: despite 65 percent of women expressing worry about their financial future post-divorce, nine in ten do not seek financial advice. Many admit they entered the divorce process with little clarity about their assets, retirement funds, or long-term economic security. This lack of financial foresight can leave women vulnerable just when their emotional independence feels most empowering.

Compounding the financial risk is a generational gender gap: for many of these women, decades of traditional gender roles have meant limited solo earnings or savings. In “grey divorce” cases, divorces over age 50, research shows women often suffer a sharper drop in living standards than men. The Independent echoes this danger, noting how outdated social norms and a lack of financial preparation can turn a courageous exit into a precarious new beginning. One woman I met recently told me that she did not care that the ex-husband came out ahead in the divorce. According to her, she's does not have responsibility for the kid who are all working adults and she makes enough to take care of herself until retirement. All that extra money was tied to fake security and a ton of misery so she was happy to let to ex have in so she could be released from marriage quickly. That is how badly she wanted out.

Still, for many of these “walkaway wives,” leaving isn’t just about escaping, it’s about choosing something new. The Independent highlights that this isn’t divorce out of desperation, but divorce as a vote: a decision to reclaim autonomy, self-worth, and the future they actually want. It’s not a failure; for many, it’s the start of a second chapter. For this woman who was six months into being single in her last 50s, things were going pretty well. She was not keen on dating but open to opportunities should they arise organically. She had a group of female friends she'd met through some travel group and that gave her enough by way of social connection. The kids understood her decision and wished her well. 

Hybrid Creep

I chatted with my friend S over the holidays and he brought up the phenomenon of "hybrid creep" that had his wife concerned. She's in her mid 40s and hyper-focoused on the education and over-all development of their two kids. This is very demanding work as I have learned from experience and only possible if the parent has a hybrid or remote job. L's job was hybrid and required her to come into the office once a week. She actually loved that rhythm because it allowed her to revitalize her professional identity often and not feel like her only job was being a mother. But that's all changing as the kids enter middle and high school, a time of great unique challenges. All of what this WSJ post talks about is happening to L and her coworkers.

Her company is not trying a strict return-to-office mandate, they learned from the failures in the field. Instead they are moving toward a more subtle strategy known as "hybrid creep." This approach aims to gradually increase employees' in-office presence without explicit directives, relying instead on incentives and implicit pressures. For instance, linking promotions to higher office attendance sends a clear message: those who exceed the minimum requirements, like showing up more than mandated, become the new standard for advancement. 

As human-resources consultant Jaye Johnson explains, promoting someone like "Sally" who frequents the office reinforces the behavior across the team, capitalizing on workers' ambitions in a job market where employers hold more leverage amid rising unemployment and layoffs. It has to be noted that the strategy results in impeccable attendence record being the final arbiter of promotion. The real competition would have been disqualified because they did not clear the attendance bar. Showing up to work and not actually working has never been so rewarding. This is something many of us are observing.

With 700,000 more Americans unemployed than a year ago, the risk of job loss motivates many to prioritize visibility, even if it means surrendering some remote flexibility. For L it means living in constant fear of losing her job which has given the family foundational stability for years, allowed S to travel like his job demands without the kids losing much needed support. If she wants to be sure she'll have the job she needs to up her attendance game to get closer to "Sally". It will not be enough that she's been awarded three patents as an employee. There was a time when stars like her could decide where and how they worked. 

Enhanced surveillance plays a key role in enforcing compliance without raising requirements. Improved tracking technologies, such as precise mobile data and AI, make it harder to game the system through practices like "coffee badging", brief visits just to register presence. Stanford economist Nicholas Bloom compares this to speed cameras on highways, where better enforcement naturally boosts adherence. Companies like Cloudera report voluntary attendance increases, with employees staying longer for collaboration, underscoring how visibility influences perceptions of contribution and leadership potential. People stay longer at work for a variety of reasons and not all of them have to do with collaboration. If their bosses are around, folks might want to collaborate performatively to make sure its seen and counted for promotions.

While some workers return willingly, craving face-to-face energy or setting examples for the broader team, the strategy raises fairness concerns. Unwritten rules may disadvantage those unable to commute easily, and experts urge transparency in expectations to avoid resentment. This trend reflects a broader recalibration of work norms, where presence subtly equates to opportunity, but it risks alienating talent if not balanced with genuine flexibility and clear communication. L has worked for this company for ten years now and been nothing but a star-performer but this year she fears that will change. Such a shame.

Rising Idiocracy

America is running a quiet national experiment in lowered academic expectations and as this Atlantic essay shows, the early results are sobering. Over the past decade, schools have steadily relaxed standards, removed meaningful consequences for poor performance, and embraced “engagement” over mastery. The outcome is now showing up dramatically in universities. At UC San Diego, the number of freshmen arriving with math skills below middle-school level has skyrocketed from a few dozen to more than 900. Many cannot work with fractions, solve basic algebra, or even begin a simple word problem. Other campuses, from UCLA to UC Berkeley to George Mason, report the same pattern. I had started to observe this trend when J was in middle school, so the timeline of this evolving calamity as the author describes it matches what I have seen in my own backyard.

This collapse in readiness mirrors a nationwide decline in math achievement. After steady gains from 1990 to 2013, U.S. math scores have fallen back by the equivalent of a full school year, landing near levels last seen in the 1970s. Students at the bottom have fared worst, while only the top 10 percent have recovered to pre-2013 performance. Theories abound: the attention-shredding power of smartphones; complacency fueled by calculators, apps, and now AI; and an education culture increasingly oriented around minimizing student distress rather than ensuring student competence. This issue about minimizing student distress, always bamboozled me. The school classroom is probably the safest and least consequential place to try and fail at things. There is almost no penalty for it as kids can take as many attempts at it takes to get competent and even gain mastery. I never understood the benefits of coddling them in the classroom only to have them experience free fall in the real world and have no way to recover.

Policy swings also played a role. Earlier accountability regimes, imperfect but effective, raised math outcomes, especially for disadvantaged students. But by 2015, political fatigue led the federal government to loosen expectations around standardized performance. Schools embraced “fun” math instruction and equity-driven course placement that sometimes limited access to advanced coursework. When the pandemic hit, these trends accelerated. Remote learning set students back half a grade or more, prompting many districts to lower expectations further. “No zero” grading policies proliferated, inflating report cards even as actual skills deteriorated.

The mismatch between grades and ability has become extreme. At UC San Diego as the article notes, more than a quarter of students placed into an elementary and middle-school-level remedial course had earned straight A’s in high-school math, including in advanced tracks. It is absolutely baffling how that can even be possible with something as cut and dry as math. You either get it right or you don't. How does one get an A in advanced math if they lack basic arithmetic skills. Were they being given points for attempting to solve the problem and the number of words written? Clearly all their answers would have to be wrong and yet there was a path to an A from there. This falls in the realm of magic realism for me and it is a great disservice to kids by adults responsible for their education. To confound the problems the school system was creating, the UC system eliminated standardized-test requirements, still considered the most reliable indicator of math preparedness, and sharply increased enrollment from under-resourced schools. The result: elite institutions now teach arithmetic to students who were told they excelled. The irony is that the parents have to pay elite school tuition for the remedial math whereas if done in time and done right would have been free at public school.

Restoring SAT/ACT requirements might help universities correctly place and prepare students, but it won’t fix the deeper issue. The decline in quantitative literacy is broad-based, predating the testing debate and tracing back a decade. Researchers warn that falling math skills could impose heavy economic costs in the years ahead. Some optimists counter that future students may not need foundational math, since AI can do so much of the work. But educators and mathematicians are nearly unanimous: this belief is dangerously naïve. That is quite a ridiculous argument. To extend that logic people no longer need to read or write, AI can communicate via voice so why bother.

As Stanford’s Brian Conrad puts it, the idea that students no longer need to learn core mathematical concepts is “a recipe for idiocracy.” Foundational skills are what allow people to reason, troubleshoot, and judge when a machine is wrong. Without them, even advanced degrees risk becoming hollow credentials. The larger question is no longer whether America’s math decline is real, but whether the country can muster the will to reverse it, before we graduate a generation unable to think numerically at all.

Turning Back

Back in the day, we lived in a world where connectivity meant picking up a phone, sending a letter, or walking somewhere to get information. Maps were paper, encyclopedias were stacked on shelves, and the internet was a curiosity, not a lifeline. Reading this article from The Guardian, I can’t help but feel a pang of nostalgia for that simplicity, even as it underscores a sobering truth: the infrastructure holding our modern digital lives together is far more fragile than most of us realize. Everything we take for granted, our emails, banking, streaming, messaging, even the smart devices in our homes, depends on a sprawling, invisible web of data centers, undersea cables, and protocols that were designed decades ago for a different world. There was a world before any of that. It moved at an incomparably languid pace and we might have been better off for it in some ways. But there is no way to get back there anymore, so things do have to work. 

Yet the fragility isn’t just theoretical. Extreme weather could wipe out key hubs, cascading software bugs could ripple through the system, or a targeted attack could take down critical DNS services. Much of the internet’s backbone rests on a few concentrated points of control, with three major cloud providers accounting for the majority of global cloud services. It’s a delicate balance, a combination of engineering, economics, and geography, and the consequences of a failure would ripple far beyond what most of us imagine. The article paints scenarios that feel almost like science fiction, yet they are entirely plausible, and the fact that we rarely think about them makes them all the more unsettling.

For someone like me, who remembers a world before constant connectivity, there is both wonder and anxiety in this realization. I recall the days when losing a phone line or a map didn’t bring life to a standstill; people adapted, communicated, and carried on. Today, an outage or major disruption would expose just how dependent we’ve become on a system that is largely invisible and often taken for granted. Reading about the precariousness of the internet is a reminder that the conveniences we enjoy are built on layers of complex, aging infrastructure. There is a wistful lesson in that fragility, a call to appreciate the seamless networks we rely on while remembering that, not so long ago, we lived and thrived without them.

Potato Politics

I, for one, wouldn’t much care which way the potato ends up being classified, but I can understand why some people have strong feelings about it.

There’s a quiet debate underway in U.S. nutrition policy circles: potatoes, long counted as a vegetable, might be reclassified outside the vegetable category in upcoming federal dietary guidelines. The discussion stems from the U.S. Dietary Guidelines Advisory Committee’s work on the 2025–2030 Dietary Guidelines for Americans, which shape national nutrition advice and influence programs like school lunches. Some nutrition experts and dietary models have suggested treating potatoes more like grains or starchy carbohydrates, arguing that their high starch content and rapid digestion make them nutritionally closer to grains than to non-starchy vegetables like leafy greens or broccoli.

The idea has sparked predictable confusion and pushback. Crop groups and many lawmakers argue that potatoes should remain classified as vegetables, pointing out that they provide meaningful nutrients, potassium, vitamin C, fiber, and B-vitamins , and play a central role in existing dietary recommendations. A bipartisan group of members of Congress has even urged the USDA to preserve the potato’s vegetable status, citing studies that support its nutritional value.

Nutritionists note that much of the controversy has less to do with the potato itself than with how it’s usually consumed. Deep-fried, smothered in cheese, or paired with heavy toppings, the potato bears little resemblance to its more virtuous baked or boiled forms. Prepared simply, especially with the skin on, it can fit comfortably into a balanced eating pattern, and many experts still consider it a vegetable for practical guidance.

Maybe there’s room for compromise. If prepared healthfully, it’s a vegetable; if not, it’s a grain. That seems to be the real source of the trouble anyway. A dual classification might even have some educational value, forcing people to consider which avatar of the potato they’re eating before proceeding. What isn’t clear to me is how calling a deep-fried potato a “grain” absolves it of responsibility for being deep-fried and covered in high-calorie toppings. On that front, taxonomy feels like a distraction from the obvious.

Safe Harbors

These lines from an Aeon essay transported me to my childhood. My mother made the bed meticulously: sheets tucked tight, pillows and cotton quilts fluffed in the hot afternoon sun. On winter nights, going to bed was the ultimate treat. I would slide into a warm cocoon that had soaked up the day’s heat. Until reading this, I hadn’t realized how special that ritual was, or how—now an adult living alone—it has become a relic of a distant past.

Here is one of my fondest childhood memories. My mother is calling me to bed, which she has made with newly purchased linen. I am beyond excited because of their mesmerising design – bright lilac flowers with emerald-green leaves (to this day, my favourite colour combination). I inhale the lingering scent of the laundry detergent. As I slide my slender body into the tightly tucked bed, I shudder with pleasure at the texture of the ironed cotton. It is a synaesthesia of tiny pleasures, an inundation of simple joys. I can now close my eyes in the dark room, feeling safe and loved.

Falling asleep was easy in that warmth, born of both the sun-soaked fabric and that sense of security. Looking back, my sleep troubles began during my first years of independence. The bed was no longer tied to memories of my mother reading to me or a paperback slipping to the floor as I dozed off on summer vacations. Instead, the bed became a place where I had to face the day’s defeats, with no promise of recovery by morning.

A person's relationship to sleep changes into one of strife mingled with guilt in the modern world. There is an expectation of non-stop, unrelenting performance and taking a nap may feel like laziness. Like the author, I love taking naps and have a couch that faces a large window that I requires me to curl up because its not long enough. This turns out to be perfect for the body and mind to drift off. The noises die out slowly until it feels queit in my head. For a few minutes I am back in the safe habors of childhood.

Socratic Leap

I was talking to my friend N who teaches in literature in high school. She's very skeptical about AI in the classroom and insists on a no device policy in her class. All assignments have to be completed pen and paper and turned in at the end of class. She's reduced homework assignments to the minimum because kids use AI to complete the work and she does not see any value in that. While she can't speak for the state of AI in Indian K-12 education, she's an interesting sample from an expensive private school in a big metro. Our recent conversation made me read this NYT story about how other countries are solving the problem in a different light:

Estonia is trying a different approach, with a broad new national A.I. education initiative called “A.I. Leap.”

The program was prompted partly by a recent poll showing that more than 90 percent of the nation’s high schoolers were already using popular chatbots like ChatGPT for schoolwork, leading to worries that some students were beginning to delegate school assignments to A.I.

Estonia then pressed U.S. tech giants to adapt their A.I. to local educational needs and priorities. Researchers at the University of Tartu worked with OpenAI to modify the company’s Estonian-language service for schools so it would respond to students’ queries with questions rather than produce direct answers.

This is a great approach and one that harnesses the power of the tools to drive the educator's desired outcomes instead of the tools usurping their authority and ability to do what is right for their students. I am sure N would be oky with an AI that challenged her students to grapple with their questions and come up with an answer on their own. That would amplify what is trying to achieve on her own, unassisted by technology.

Common World

Reading this Atlantic story about the looming crisis from reduced birth rates around the world got me thinking about public libraries. A global society with a declining birth rate is like a library that has stopped acquiring new books. While the existing collection (the current population) may be vast and sophisticated, the library's relevance is tied to the "past". Without new acquisitions (the "newcomers"), the library cannot adapt to "unforeseen" questions of the future; eventually, the building remains, but the "spirit of inquiry" and the "common world" it represents slowly crumble into a "shapeless void". This is exactly the library I had access to as a kid growing up in small-town, India. The newest book they had in their collection was from a couple of decades before my birth. I was an indiscriminate reader those days and did not hesitate if the a book was popular in my grandfather's time. It was available and I had to read it. But none of that reading prepared me of the real life that I was thrust into after college. I was like some one who had time traveled into the future for which I had scant preparation.

The consequences of population decline are not nearly as abstract. Japan’s long‑term stagnation is held up as the warning case: its fertility rates in the 1.3–1.5 range helped push the median age to 50 and shrank its share of global GDP from 18 percent in the 1990s to about 4 percent today, despite decent productivity per hour. Now countries such as Colombia and Chile are heading into even lower fertility territory before they have become rich, raising the prospect of societies where a small working‑age population must support a huge elderly cohort. If the world stays on this path, Novicoff suggests, each new edition of the UN’s projections will be a little darker, less growth, more fiscal strain, and an older, smaller, poorer humanity than most people are currently prepared to imagine.

Then there is a matter of declining standard of education and the vague unease that education as we have known it upto will not serve us in time to come. That has consequence too. Maybe there comes a point that don't feel enough love or desire to save the world like Hannan Arendt says:

Education is the point at which we decide whether we love the world enough to assume responsibility for it and by the same token save it from that ruin which, except for renewal, except for the coming of the new and young, would be inevitable. And education, too, is where we decide whether we love our children enough not to expel them from our world and leave them to their own devices, nor to strike from their hands their chance of undertaking something new, something unforeseen by us, but to prepare them in advance for the task of renewing a common world.

Scaffolding Mastery

The warning from this think-tank CEO regarding the use of AI was an interesting read, but there is a lot here to disagree with. The CEO argues that over-reliance on artificial intelligence could erode professional confidence and stall career progression, suggesting that offloading cognitive tasks causes workers to lose the "muscle memory" of their craft. However, the data emerging from 2025 and early 2026 suggests this perspective views professional development through an outdated lens. Rather than a crutch, AI acts as a sophisticated scaffold that accelerates the transition from junior executor to strategic leader by removing the friction of low-value tasks. Much of that so-called "muscle memory" is actually composed of skills learned to work around flaws in how people, process, technology, and governance intersect. There is no intrinsic value in most of it. Looking back at my own career, where I’ve taken pride in being hands-on and solving hard problems alongside my team, I can attest that many of my "skills" simply weren't remarkably valuable in environments that were less flawed.

The claim that AI erodes confidence also ignores the psychological boost provided by increased self-efficacy and the reduction of burnout. According to 2025 data, developers and knowledge workers using AI saw task completion rates jump by as much as 81%, while burnout risk dropped significantly. Professional confidence is rarely forged in the fifth hour of a repetitive status update or the manual synthesis of "lossy" data; it is built through the successful delivery of high-impact projects. By automating "drudge work," AI allows employees to spend more time in the "impact zone," increasing job satisfaction and self-worth. I have personally used AI to help me code and automate parts of my job, sometimes taking thirty iterations to get a program running exactly as I want. The difference is that AI provides a path to realize that vision unassisted, saving hundreds of hours and allowing me to do the real job I have a passion for.

The  "stalled progress" theory is contradicted by evidence showing that AI is a powerful tool for the democratization of mastery. A landmark study from MIT and Stanford found that AI disproportionately benefits entry-level workers, closing the performance gap between them and high-performers by 35%. Far from slowing a career, AI provides a baseline of codified knowledge that allows junior employees to bypass years of rote repetition. This enables them to focus immediately on "tacit knowledge", the judgment, intuition, and soft skills that define senior leadership, effectively fast-forwarding the most stagnant years of a career path. While not every early-career worker is yet adept at maximizing output this way, those who "crack the code" end up looking like superstars.

To argue against AI reliance is to ignore the shifting requirements of the global labor market, where "AI Quotient" (AIQ) has become a primary career currency. Research from Forrester indicates that AI fluency is now a mandatory requirement for 30% of large enterprises in 2026. Data shows a clear correlation between AI adoption and economic mobility; firms integrating these tools heavily are growing 6% faster and offering higher wages. In this environment, the workers who "rely" on AI to enhance their output are precisely the ones reporting the highest levels of job security and career optimism.

The concern about eroding confidence seems to be a symptom of poor organizational implementation rather than a flaw in the technology itself. When AI is introduced without a clear cultural framework, workers may feel like they are "cheating" or losing their grip on their role. The solution is not to use AI less, but to integrate it as a vital stakeholder in a redesigned workflow. By treating AI as a tool that enhances human judgment rather than replaces it, there is a path to drastically reduce administrative exhaustion and maximize professional growth is defined by strategic impact rather than manual labor.

Relationship Recession

 As a woman of a certain age, I find it gratifying that being single by choice or lack of options is not as stigmatized as it once was. It eases the pressure to make life altering decisions by a certain date and suffer the consequences for an excruciatingly long time. Relationship recession could have some benefits in the end.

This Economist story finds that singlehood is rapidly increasing across the rich world, with half of Americans aged 25–34 now living without a partner. This “relationship recession” reflects profound social shifts: women’s expanding career opportunities, financial independence, and declining social stigma allow more people to choose solo life.

While many enjoy independence, surveys suggest 60–73% of singles would prefer a relationship, highlighting a mismatch in the partner “market.” Factors include dating app selectivity, political polarization, declining social skills, and changing expectations around education, income, and household roles. All of these factors have existed forever in different incarnations of mismatch been what a person wants and what is reasonably available to her. The difference is there was enough external pressure to make them throw in the towel at some point. That is changing now.

For many, a mediocre partner no longer seems a better bet than remaining single. Women are more likely than men to say that they want their mate to be well educated and financially solid. More men are failing to clear this moving bar, as they fall behind women educationally and the less bookish ones flounder in the job market. Men with no college degree and low earnings struggle to attract a partner; doubly so if they do not share domestic chores, or if after frequent rejection they start to dislike women, a common vice in the online “manosphere”.

Some of these problems may be self-correcting. One obvious idea is for men to grow up, do a little more housework, behave more responsibly and so turn themselves into more desirable partners. Cultural norms may impede this shift. But the prospect of avoiding lifelong loneliness and celibacy will surely serve as a powerful incentive for men to change. Many countries have been moving in this direction for years, with cleaning, cooking and child-minding more evenly split between men and women.

The rise of singlehood brings both benefits, freedom, self-reliance, and better standards for relationships and challenges, including loneliness, falling fertility, and potential societal impacts. Emerging trends like AI companions hint at how technology might further reshape intimacy. Women who grew in less forgiving times if they were single can celebrate the recession for a bit until clarity emerges along with greater abundance.

Subaltern Stranglehold

I read this essay by Chris Hedges where he argues that the rise of populism is the inevitable byproduct of a corporate coup d'état that disenfranchised the working class, with great interest. He posits that when the "liberal elite" abandons the laborer in favor of neoliberal ideals, a vacuum of despair is created, one that is quickly filled by leaders who offer identity and "spectacle" over actual economic substance. This thesis provides a chillingly accurate lens through which to view the political "stranglehold" of Mamata Banerjee in West Bengal. What was once the industrial powerhouse of India has been systematically dismantled, replacing the autonomy of the worker with a permanent state of subsidized dependency.

Hedges’ most potent observation is the elite’s use of the term "deplorable" to pathologize the anger of the poor. By labeling the disenfranchised as unrefined or morally regressive, the establishment avoids accountability for the economic ruins they left behind. In West Bengal, Banerjee has masterfully inverted this dynamic. She has branded herself as the champion of the "subaltern" against the educated, urban Bhadralok of West Bengal that rile against her and the "Delhi elites." By leaning into the very traits her critics mock, she has forged an unbreakable bond with her base, turning their perceived "backwardness" into a badge of righteous identity that shields her from scrutiny. The more she integrates and fuses with her base, the more she outrages the dissenters.

This bond is maintained through what Hedges describes as the management of human misery rather than its eradication. In West Bengal, this is evidenced by the rise of "Welfare Populism." As the state’s per capita income fell well below the national average, Banerjee replaced industrial job creation with a vast network of direct cash transfers and schemes which have indeed helped reduce extreme poverty. Hedges argues that the corporate state offers "spectacle" to hide the loss of agency; in Bengal, the spectacle is the Party itself. By providing just enough to survive but not enough to thrive, the government ensures that the "Material" which is the people, cannot afford to risk the uncertainty of a new political direction where their patchwork of safety nets is no longer guaranteed.

This dynamic represents a total failure of the "shoemaker’s logic" inspired by Aristotle’s Nicomachean Ethics. A leader’s duty is to produce the "handsomest shoe" possible from the leather they are given. West Bengal was given the "leather" of a deep industrial heritage and high-density infrastructure. Yet, Banerjee’s political ascent was rooted in the expulsion of industry, most notably the exit of the Tata Nano project. By systematically making the state hostile to capital, culminating in the recent revocation of long-standing industrial incentives, she has intentionally withered the "leather" of the state’s economy to ensure the Party remains the only viable source of power. That is what it takes to make the shoe that best meets her needs.

Hedges further argues that we no longer live in a democracy, but a "corporate state" where both parties serve the same masters. In Bengal, this has evolved into a "Party-State" where the lines between the government and the political apparatus have vanished. Without private industry to provide independent livelihoods, every aspect of a citizen’s life, from healthcare to housing, is filtered through the Party hierarchy. This is the ultimate "stranglehold": when the economy is killed, the only way to eat is to stay loyal to the hand that feeds you, even if that hand is the one that removed your seat at the table of progress.

Reading this essay made me think how West Bengal is a case study in Hedges’ warning of a "poorer, smaller humanity." As the state continues to export its youth as migrant labor to the rest of India, it fulfills the Hedges prophecy of a society that has lost the ability to imagine a future. By prioritizing a siege mentality and subsidized loyalty over industrial renewal, the current leadership has ensured its own survival at the cost of the state’s soul. We are seeing what happens when the "deplorables" are not just ignored, but are weaponized to maintain a regressive status quo that has turned a powerhouse into a ghost of its former self.

Wanting More

Seeing a 1990s Camry with an Oberlin sticker on the rear window got me thinking about my friends in their grad-school days. Not long ago, graduate students were a particular breed,  idealists who accepted their years of modest living as the price of intellectual pursuit. They rented drafty apartments near campus, drove jalopies with mismatched doors, and prided themselves on their ability to live on stipends that barely cleared the poverty line. This asceticism was not just tolerated but valorized, a rite of passage toward joining the intellectual elite. But that social contract has quietly unraveled. Today’s graduate students want what their peers in tech already have: financial security, comfortable housing, and freedom from the grinding uncertainty that once defined academic life.  

The shift in aspiration is understandable. Big Tech has redrawn the boundaries of what “talent” can command in the market. A 25-year-old with a machine learning degree can earn in a single year what a tenure-track professor might make in five. The wealth on display, stock options, lavish campuses, four foreign vacations a year, and startup riches, has rewritten the expectations of what smart, hardworking people “deserve.” In contrast, the academy now looks like a failing enterprise unable to reward even its brightest members. When the brightest minds see their peers rewarded extravagantly for commercial work of questionable social value, the moral foundation of the academic bargain collapses.

Unionization is the natural outcome of this disillusionment. Graduate students are no longer content to view their labor as a sacred apprenticeship; they see it as work, and work must be fairly compensated. What is fair or perceived to be is being decided by Big Tech. The logic is economically sound but existentially destabilizing for academia. Once the academic workforce organizes around the norms of labor rather than vocation, the fragile ecosystem that sustained intellectual discovery, deferred gratification, intrinsic motivation, long-term commitment, begins to crumble. The university becomes just another workplace, not a calling.

As universities respond to these pressures by cutting costs and reducing PhD admissions, a darker consequence emerges: the narrowing of social mobility through education. For generations, academia served as a ladder for those without wealth or privilege, a way to rise through ideas rather than inheritance. But as the costs of sustaining graduate labor rise and programs contract, access to the life of the mind will increasingly become a luxury of the already affluent. Those who can afford to forgo immediate income will still pursue it; those who cannot will turn away.

In this way, Big Tech’s overcompensation of technical talent has had an unintended side effect, not merely distorting the labor market, but reshaping the very imagination of ambition. When the value of intellectual work is measured in dollars, the disciplines that cannot compete on those terms will wither. The tragedy is not that graduate students now want more; it’s that the market has made it almost impossible to want less.