Recent disclosures from Anthropic about its experimental model’s ability to identify software vulnerabilities raise egitimate questions about how advances in artificial intelligence could reshape cybersecurity. Like many I find this subject both fascinating and scary given how little I know about it and how unfathomble the consequences could be. It is the reason that a scare like this works the majorty people up because they do not have the expertise to separate fact from fiction. If taking a cynical view, one might wonder if this is Anthropic's way of making and staying top of mind.
According to the company, its system was able to detect previously unknown weaknesses across widely used software environments. While these claims have not yet been independently verified at scale, they align with a broader trend: AI systems are becoming increasingly capable at tasks that require pattern recognition, code analysis, and automated reasoning. That trajectory alone is enough to warrant attention.
It would be a mistake, however, to treat early internal findings as evidence that large-scale automated exploitation of global systems is imminent as this Wash Post piece is intent on doing. Discovering a vulnerability is only one step in a complex chain that includes validation, weaponization, delivery, and evasion of defenses. Each of these stages introduces friction, and defenders continue to improve monitoring, patching, and system isolation. The history of cybersecurity suggests that offense and defense tend to co-evolve, rather than one side achieving permanent dominance.
The geopolitical dimension adds another layer of uncertainty. It is reasonable to assume that multiple countries, including China and the United States, are investing heavily in AI capabilities with potential security implications. But predicting how any specific government would act in response to a breakthrough involves speculation. States face competing incentives: exploiting vulnerabilities can yield short-term advantages, but widespread use risks retaliation and systemic instability. Mutual exposure has historically acted as a constraint, even among rivals. The way the article is written wants us to believe that we are all completely and immediately vulnerable to every kind of cyberattack possible; have nowhere to run or hide.
Calls for an immediate global pause on AI development face practical challenges, including verification and enforcement. I am not sure how that is even possible anymore given how much is available opensource making it anybody's game. At the same time, dismissing coordination altogether overlooks the role that partial agreements, norms, and information-sharing frameworks have played in other domains of technological risk. The relevant question is not whether cooperation can be perfect, but whether it can reduce the most dangerous outcomes at the margin.
It seems like a focus on increased resilience would serve better rather than alarm. Organizations shoud assume that vulnerability discovery, whether by humans or AI, will accelerate, and invest accordingly in faster patching cycles, system redundancy, and access controls. Policymakers, meanwhile, can focus on strengthening technical capacity within government and improving collaboration with the private sector. These steps do not depend on worst-case assumptions; they are prudent under a wide range of scenarios.
The issue is not whether AI will instantly render existing systems defenseless, but whether institutions can adapt to a world where both attackers and defenders have more powerful tools. That shift is already underway. Managing it effectively will require less speculation about dramatic breakthroughs and more attention to the incremental, compounding changes that define how technology actually reshapes risk.
China’s app scene has recently been shaken by an unusual viral hit: a mobile application bluntly translated as “Are You Dead?” The name, which literally asks users if they’re still alive, grabbed attention first for its shock value, then for its surprising popularity among people living alone in Chinese cities. Designed as a simple safety tool, users set an emergency contact, then tap a button daily to confirm they’re okay; if they miss multiple check-ins, the app automatically alerts that contact, signaling a potential problem. I can see how this problem can exists and why this is a reasonable solution even it sounds bizarre at first blush. There are many elderly folks I know who check in with their peers daily to make sure they are alive and well.
China is seeing a rapid rise in one-person households, especially among young urban workers and students who have migrated for jobs, as well as elders living independently. Projections suggest that by 2030 there could be up to 200 million solo dwellers, a trend that feeds both the app’s utility and its discourse. For many users, the morbid prompt isn’t just a gimmick but a reassurance that someone might notice if they’re in trouble a digital safety net in an increasingly isolated lifestyle. When I first read about the app, I assumed instinctly that it was for the old and infirm. It did not occur to me that a someone much younger could end up dying alone without anyone finding out.
The app’s stark naming sparked lively debate online for obvious reasons. There is the direct social utility and how it brings attention to loneliness and personal well-being; but it comes at the cost of feeling unsettling. Asking “Are you dead?” is morbid. Apparentlly, the developers have rebranded the app globally as “Demumu,” aiming for a broader audience without losing its core function as a lightweight safety check-in tool.
The app's traction suggests that simple technology can reflect and even address real anxieties around living alone and can't substitute for meaningful human interaction and social support. The fact of its existense and the attention it is getting only proves that it has touched a saw nerve in society well beyond China.
I read the Stanford story about a near-majority of students being classified as disabled, a while ago. It was one of those pieces that refused to fade; it kept resurfacing, regurgitated in different forms. My first instinct wasn’t outrage but curiosity — what kind of pressure cooker produces an outcome like this? When the bar for excellence is set impossibly high, people will look for air vents. Some of those escape routes cross lines, yet remain officially sanctioned, as these examples were.
What struck me most was how accommodations like extra time, quieter rooms, or better housing function as competitive advantages in the economy of grades, résumés, internships, and futures. In that environment, disability stops being an unfortunate personal reality and starts to look like an advantageous category you apply into. For me, this reporting landed personally. I’ve lived with a disability since my late teens, and I’ve spent years pretending to be “normal” — not because I didn’t need help, but because I didn’t want to be treated like a charity case or win anything other than on merit. I was also conscious that many people have it incomparably worse than I do, which always made equalizing my problem feel unfair.
When a system is gamed at scale, as appears to have happened here, people inevitably begin asking who “really” deserves help. Let that go on long enough, without consequences for those taking undue advantage, and the system swings back toward hardened suspicion. We end up recreating the very gatekeeping these accommodations were designed to dismantle. There’s a thin, dangerous line between accountability and cruelty, and it’s alarmingly easy to cross.
The story also raises a deeper question about what college is meant to be for a young person. I’ve always thought of it as a proving ground — a place where hardship is not only expected but necessary, because it builds character. Of course, the level of hardship at a particular institution can well exceed an individual’s capacity to tolerate it. That’s precisely why the admissions process exists: to assess readiness before admitting students into that environment. On that front, it’s hard not to conclude that Stanford has failed.
My uncle first showed me a book of photographs by Raghu Rai when I was in high school. I remember being completely mesmerized as we turned the pages, each image arresting complete attention. I had received a camera as a gift that year and this was his way of teaching me how to really see things. How there is extraordinary potential in the mundane even sordid that makes up life. Rai took pictures of people in settings that we would not ordinarily consider noteworthy but what he saw through the lens transformed it into the sublime.
That was the story of every photograph in the book. How the essence of the moment was captured to such a degree of perfection that you'd never look at the scene in real life the same again. And yet as I tried to find the magic in ordinary things, inspired by that book, I came to realize how extraordinarily difficult it was. Rai seemed to have eyes that opened up the scene in a different dimension that it did not ordinary mortals. I loved reading this essay about him. His passing brought back memories of a time long gone and how my uncle had used his photographs to teach me how to see and feel about the world around me. He talks about this notion in this interview.
I feel God has installed the biggest computer in every one of us. And this most terrific, unbelievable computer’s storage space can be expanded to anything. It’s a storehouse of ideas, pictures, sounds. What is bad about this big computer is that we can’t reformat it. When your sensor is freed of influences it will reflect something that is refreshing and honest. And creativity lives beyond ideas, concepts and philosophies. Philosophies are born and realized later. First it’s a moment when you make yourself available to the situations mentally, spiritually and physically. That’s when the whispers happen, when nature begins to speak, when the signals from daily life begin to rejuvenate you and tell you another kind of story. That is the process that a creative person lives for. So when you are going through a moment of revelation, if you have the ability to click simultaneously, that is the magical moment you’ve caught.
In all the years of me taking pictures with that first camera upto today, there may have been only a couple that truly captured the spirit of what I had experienced in the moment when the picture was taken. The rest is just flat and devoid of that magic I first experienced leafing through that book full of photographs by Raghu Rai. While I will never meet the bar, I feel fortunate that I learned very in life what it is to be extraordinarily good at seeing the world.
The real reason why the high value shift is a lie (that is being told and repeated in India), is that there are no signs that we out there creating a nation of AI architects. Thus far, the focus has been on creating a nation of managed labor. For decades, the tech industry in India was built on execution. You took a task, basic Java, QA testing, something mind-numbingly routine, and you did it faster than a guy in a cubicle in Dayton. AI ended that. If you’re a 22 year old graduate looking for a starter desk job, you’re competing with an AI that costs less than the average person's monthly Chinese takeout budget and does not sleep. But the jobs haven't vanished into the ether. They just moved back to the physical world where machines can’t reach yet. Snabbit crossed a million jobs by focusing on cooks and house help. They realized that while an AI can write a legal brief, it can't scrub a bathroom floor.
We just need to look at where the capital is actually flowing to separate fact from fiction. It’s not just Snabbit. There is Krutrim, Ola’s pet unicorn, trying to build the full stack of cloud and models, and Sarvam AI chasing the multilingual dream. These companies are building the brains, but the bodies they manage are the next million jobs. None of them look like the up-leveled jobs that the political and technology leadership in India are touting. Then there is M, the new startup from the Dunzo co-founder. It’s a concierge platform designed to automate household tasks through software coordination. These founders aren't building for the software engineer in Bangalore. They’re building for the physical service provider who is safe from automation because a robot that can fold laundry costs more than a house in the Mission District.
The shift is in introducing AI-driven surveillance of the work that was already being done. Snabbit uses Kavach, an AI that tracks voice decibels and phone patterns to protect workers. This is high-tech intrusion rebranded as a safety shield. The high value role here belongs to the platform owners, not the people on the ground. The AI does the scheduling, the quality control, and the monitoring. The human provides the muscle. It’s a million jobs, sure.
The big risk for major GCCs in Bangalore is the senior only trap. These firms want experts to audit the AI. They don't want to hire juniors because AI is now the junior. If you don't hire 20 year olds to do the boring work now, you won't have 30 year old experts in a decade. The career ladder is being hollowed out. You're either a member of the elite 5 percent orchestrating the machines, or you're working for an app in the physical service sector. The middle is evaporating and it seems like the best bet is to focus on physical complexity. Trust is the only thing that hasn't been commoditized. If a job requires a physical presence and a high degree of in-person human trust, it’s safe for now. Since AI can't go to jail, compliance and auditing roles are growing because a human still has to sign their name at the bottom. The trick is to get into this space, leverage it well and not turn into a gig worker for the likes of Snabbit.
This NYT article about the reasons why babies laugh and giggle was fascinating reading. The videos captured the essense of the essay perfectly. Developmental psychologist Gina Mireault argues that a baby’s first laugh is far more than an adorable moment. It denotes a significant step in cognitive and social growth. Mireault suggests that laughter and humor are fundamental ways infants learn about and engage with the world, not merely reflexive sounds but early evidence of social participation and emotional connection.
Babies typically begin laughing around 3–4 months of age, transitioning from cooing and smiling to full laughs as their brains and bodies gain the coordination needed to produce intentional vocalizations. This emergence of laughter coincides with key developmental changes: infants start connecting social cues, recognizing novelty, and responding to others’ actions. In that process they learn about building the foundation for communication and bonding.
Mireault highlights that laughter isn’t just a response to humor in an adult sense, but a social signal that strengthens caregiver-child relationships. Through shared laughter, babies and caregivers reinforce emotional bonds and begin to understand social dynamics, trust, and interaction. The presence of another person is often the spark that turns a simple expression into meaningful engagement.
Laughter also reveals advancing cognitive capacities. As infants age, their giggles reflect growing awareness of cause and effect, expectations, and novelty. The progression from spontaneous giggles to intentional humor shows developing brain networks that support emotional regulation, social cognition, and even nascent communication skills, making that first chuckle a milestone worth celebrating. As I read this, it made sense that babies love being silly and love it even more when their little antics get them attention. Often, they try the same thing over and over to see if continues to produce the same effect. It's likely their way of learning what works and what does not.
Spending years of your life research how and why babies laugh sounds like the best job in the world.
Instead, Vembu points to long-term organizational loyalty as a key factor. According to him, Indian professionals are more likely to stay with a single company for extended periods, often decades. This longevity allows them to build deep institutional knowledge, earn trust, and gradually move into leadership roles—advantages that frequent job-hopping can undermine, even in high-performing cultures. In America, however, long-term stays at the same company are often less a matter of choice and more a necessity arising from work-permit rules and the grueling legal immigration process. I can’t count how many people have remained stuck in the same company for exactly this reason. But as a people, we are adept at turning lemons into lemonade because that is how grit works.
He also emphasized the broader phenomenon of immigrant drive. Immigrants, regardless of nationality, often display heightened motivation, resilience, and focus in their host countries. When this immigrant drive combines with a cultural tendency toward commitment and continuity, it can naturally result in a higher concentration of leadership outcomes over time. From my observations, though, it’s not entirely a matter of choice. There is only the option to stay in the fight and keep driving. If people don’t try long and hard, their outcomes abroad are often worse than if they had stayed back in India. For the most part, people recognize this and do what is required of them.
When people decide to leave the comfort of everything they’ve grown up with, the people they love and care about, to improve their lives, it hardly serves them well to throw in the towel. They do have to perform or perish. And of course, not everyone from India who takes this path achieves the marquee success highlighted in this article. The combination of factors includes some that are not that great.
Words evolve as the world changes, and lately, an uncommon term has been gaining some traction: eremition. Though not yet found in major dictionaries, eremition is rooted in the same Greek source as eremite which refers to a hermit or one who withdraws into solitude. Eremetion is used to describe the intentional act of stepping back from society to recharge, reflect, or renew oneself. It has emerged in personal blogs, poetry, and online discussions as a way to give shape to the growing desire for deliberate, graceful retreat from constant noise and connectivity. I learned about from another blog myself.
Some writers have begun to weave eremition into their creative work and reflections. In her personal blog, Emily Lisker describes eremition as “a relatively new word for the act of gradually and peacefully withdrawing from the lives of others, not out of malice but for a desire for solitude, renewal, or reflection,” emphasizing the intentional and restorative nature of the practice. On Reddit, one user beautifully captures the emotional heart of the concept, writing that eremition is “not to disappear, but to realign… to reclaim your inner peace”. It is about rebelling against the demands of always-on life.
Poets too have experimented with the word. In a 2025 poem published on Writing.com, the speaker writes “I'm in eremition / No mission…need some infusions / Distractions” to evoke a withdrawal from exhausting energies toward calm and intentional self-care. This playful, expressive use shows how eremition can lend aesthetic depth as well as conceptual clarity to creative writing, framing solitude not as mere isolation but as a fertile space for inner transformation.
Though still emerging in usage, eremition resonates because it names an experience many feel but haven’t had a word for. There has been the need for a way to express the choice to step back thoughtfully, without bitterness, and to return renewed rather than fragmented. As discussions around mental health, digital fatigue, and self-care evolve, eremition may well find a home in essays, journals, and everyday conversation as a way to talk about the art of intentional withdrawal and the value of solitude in a hyperconnected age.
In today’s tech job market, AI is among the many forces (not all of them good) elevating the value of human language and communication. While expertise in AI tools and “vibe coding” skills are increasingly sought after, companies are also paying a premium for people who excel at crafting clear, meaningful words and narratives. In a time when logorrhea is the order of the day and AI slop is being produced in copious quantities, strong communicators help make sense of complex technology and differentiate brands, products, and experiences in ways machines alone can’t replicate.
Roles that blend storytelling, editorial judgment, and a deep understanding of audience needs are gaining prominence. These include content strategists, communications specialists, and editorial leads who shape how technology is discussed both internally and in the market. I get the sense the market has yet to properly define what is actually needed, and is instead applying outdated, outmoded labels to describe it as best it can.
Organizations are increasingly hiring writers who can translate technical concepts into compelling narratives, align messaging with business goals, and guide AI tools to produce high-quality outputs. These are roles that demand a blend of critical thinking and creativity. I would argue that almost every role today requires this same combination of skills to be truly successful.
The ability to write well and communicate clearly is proving to be a strategic asset in the evolving tech landscape — one that could define career success in 2026 and beyond. The ability to communicate well was always important, but it now seems to command a much higher premium than it did before.
The idea of brain scanning earbuds is that it could read your brain and understand what you're feeling in real time and create truly personalized playlists. These tiny in-ear EEG (electroencephalography) sensors don’t just track what you listen to; they monitor your neural responses to music. By tapping directly into the pleasure centers of your brain, the system aims to identify the exact moments when a song gives you goosebumps and use that data to craft a listening experience that’s uniquely tuned to your emotional responses.
Traditional music recommendations work by analyzing what you’ve played before and comparing that to what other listeners with similar tastes have enjoyed. While this method can be pretty accurate, it still relies on past behavior, not present experience. The researchers’ approach is fundamentally different: participants first listened to both familiar songs they chose and unfamiliar ones while wearing the EEG-equipped earbuds. The device recorded their brain activity, allowing scientists to build two types of playlist models : one based on standard audio features and another grounded in the listeners’ real neural responses.
When the two models were combined into a closed-loop system, the results were striking: playlists driven by real-time brain feedback generated more chills and higher pleasure ratings than those based only on conventional audio characteristics. In other words, the earbuds were able to sense not just what a person might enjoy, but what they actually enjoyed as it happened. This suggests a future where your music service might adapt on the fly, learning from your brain’s responses to deliver an emotionally optimized soundtrack tailored to your moment-to-moment mood and experiences.
There could ofcourse be broader applications for this technology. If such systems could be integrated into everyday earbuds alongside wellness and music apps, they might be able to help users de-stress in difficult situations or concentrate better when they need to. You will need to trade off your privacy for the benefuts ofcourse but privacy is a fuzzy idea at best these days so this might not be a road thar far.
I’d rented a couple of times in Bangalore a few decades ago. The first landlord was a total nightmare, and I remember being extremely stressed about how to get out of there and into something more tolerable. At the time, that felt like a traumatic renting experience. But that was then, and this is now and the stories coming out today make my old ones feel quaint.
This news story about someone having an unusual experience while searching for a rental apartment. According to a Reddit post that became the source of the article, what should have been a routine flat viewing turned into a moment of disbelief when the person was asked to pay one month’s rent upfront just to see the apartment. The request came from a security guard who said the payment was required before the flat would be shown, a condition that hadn’t been mentioned at any earlier point in the conversation.
That incident struck a nerve because it captures how stressful and unpredictable house-hunting has become in competitive urban rental markets. J has had her fair share of apartment-renting drama in big cities. I’ve heard plenty of horror stories from her over the years, but being asked to pay a month’s rent just to view a property feels like an entirely new level of intolerable.
What made this story feel less like an outlier and more like a pattern is that it isn’t even the strangest rental anecdote in the news lately. Not long ago, another story made the rounds about landlords advertising flats with rules barring certain professions, marital statuses, or even working hours, some listings explicitly stating who shouldn’t even bother applying. In the rental market, the power seems to have become wildly asymmetric and basic decency is increasingly optional.
The strategy currently being deployed by India’s IT giants per this Bloomberg story, appears less like a bold pivot and more like a desperate attempt to preserve a middleman economy that the technology itself has rendered obsolete. While firms like Infosys tout the development of internal vibe coding tools, the underlying logic is fundamentally and fatally flawed. In an era where plain-language prompts allow anyone to generate functional code, the value proposition of hiring an external consultant to use a home grown abstraction over those same tools on your behalf is non-existent. If a client can articulate their needs directly to a frontier model, the requirement for a multi-billion dollar intermediary to facilitate that "vibe" simply does not compute.
This systemic failure is further evidenced by the industry's reliance on massive, hundreds-of-hours-long remedial training programs. In a field defined by rapid innovation, the ability to self-teach is the primary if not essential indicator of professional competence. The fact that these firms must manually shepherd thousands of graduates through basic AI integration suggests a workforce that is inherently mismatched with the current technological reality. If a recruit with a technical background cannot leverage the vast amount of publicly available documentation and research to upskill themselves, they lack the intellectual autonomy required to survive the next iteration of frontier models.
The shift toward scrutinizing digital footprints on GitHub and Hugging Face feels like a reactionary move to mask a deeper talent crisis. While the industry attempts to pivot toward "AI mastery and governance," it is still burdened by a massive labor force trained for a legacy era of manual back-end coding. The current crisis has already erased hundreds of billions in stock value, signaling that the market recognizes the fragility of the traditional billable-hours model. Training programs cannot bridge the gap between a legacy outsourcing mindset and the proactive, strategic thinking required to navigate an agentic software landscape.
The practical results being celebratedm, such as delivering prototypes in thirty minutes, actually highlight the industry's impending irrelevance.People are shipping fully working features that generate revenue in that same amount of time without offshore vibe-coders being involved. By demonstrating that complex tasks can now be completed in a fraction of the time, these firms are inadvertently proving that the large-scale human teams they once sold are no longer necessary. Instead of evolving, the industry is providing a real-time demonstration of its own shrinking utility. When the "middleman" becomes a bottleneck rather than a facilitator, the client eventually realizes they can simply bypass the infrastructure entirely.
As AI continues to advance, there will be little room for a software services industry that seems more interested in protecting its head-count than in recognizing its structural obsolescence.
I love to cook, and it’s a rare occasion when I haven't cooked a meal the whole day. Yet, there is only so much time, and what I crave might not be what’s best for me. A lot of authentic Bengali food falls into the combined category of not being the healthiest option, needing a variety of ingredients that are not easy to source, and, most importantly, taking a long time to cook. Yet, this is the food that feels like home; it feeds the nostalgia for a place and time that will never be again, surrounded by people I loved who are no longer alive. There is no way to recreate that perfection of food and care coming together.
My solution is to browse Bengali food blogs. I particularly like the ones that tell the backstory of the recipe—the aunts, mothers, and grandmothers involved in its making. That is how most of my favorite dishes came into my life; I learned from someone who set the standard for what "great" tastes like. It is my way of reliving my memory of times past. I could spend a happy hour browsing through pictures of food I have not cooked in decades, imagining the day when I summon up the enthusiasm to drive to a well-stocked Bangladeshi store, which is my best bet for getting the long list of ingredients these things require.
When we visited Lisbon a while back, we were surprised to find ourselves in a "Bangla central" with at least a dozen Bengali grocery stores on one street. That would be grocery heaven for me, just about everything it takes to make a festive Bengali meal could be bought there. There is nothing quite like that within hours of where I live. I'd have to get creative by combining fresh, frozen and canned ingredients and that feels like defeat. The dish ends up tasting nothing like I remember it to be because it is not meant to work without fresh ingredients. So, I have to soothe the pangs for my metaphorical home in the images of food I long for and, maybe more than that, the people who are so closely associated with it.
Recently my online wanderings took me to Garur Dal. This is a seasonal Bengali lentil curry prepared with a mix of leftover summer vegetables and early winter veggies, cooked on the last day of the Bengali month of Ashwin (mid-October) and consumed on the first day of Kartick. Typically, it includes a mix of seasonal veggies like potol (pointed gourd), kumro (pumpkin), kakrol (teasle gourd), sim (broad beans), begun (brinjal), jinge (ridge gourd), kachkola (raw banana), kochu (taro), sapla (water lily stalks), thor (banana stem), and jolpai (olives).I loved this dish and struggled to remember when I had it last but it made me want to make it my kitchen the best I could.
In today’s world, one-sided opinions, what the article calls halfpinions, are everywhere, thanks to a news environment shaped by polarization and digital echo chambers. Coined by Scott Adams, “halfpinion” describes the habit of holding views that focus on just one side of an issue, ignoring inconvenient facts that don’t fit our preferred narrative. This partial way of thinking, now amplified by social media algorithms, leads to not only personal bias but also affects how groups and leaders make decisions. Over time, it causes deep divisions, blinds us to nuance, and rewards misplaced certainty rather than thoughtful exploration.
The danger goes far beyond superficial disagreements or online bickering. When algorithms feed us more of what we already believe, our information bubbles grow thicker and the “other hand”, the other side of any issue, simply disappears. By now everyone knows that false news now spreads much faster than truth because social media favors emotional, shareable content. As leaders operate within these comfortable bubbles, their decisions rest on foundations that are often incomplete, distorted, or even false. In turbulent times, this false confidence becomes especially risky, as crucial choices are made without ever examining alternative perspectives.
This erosion of perspective seeps into every layer of organizations and communities. Echo chambers turn honest debate into factionalism, erode collaboration, and undermine trust. People become less willing to listen to those with different views, slowing strategy and innovation. For leaders, the cost is credibility: when opinions never change, and when every conversation feels pre-decided, trust among employees, customers, and partners quickly dissolves.
Yet there is hope for escaping the halfpinion trap. The article offers four practical habits: seek out diverse sources of information and feedback, actively build relationships with people outside your usual circles, remain open and courageous enough to change your mind, and protect a spirit of curiosity in every conversation and decision. Each practice is a safeguard against the blind spots created by premature certainty.
Ultimately, the path forward is to hold strong opinions, but to hold them loosely. Good leadership, the author writes, is less about always having the right answer and more about being able to learn, revise, and weave in what the “other hand” reveals. In a noisy, divided world, the ability to remain open, admit error, and embrace the complexity of every issue is what will truly set wise leaders apart.
There is also the current trend where leaders make up opinions on the fly based on what is currently trending, deciding from the gut instead of using any rigorous analysis of data. This is supported by the the extensive us of LLM at all levels of the organization none of whom are interested or incentivized go deep and wide because the technology allows them to do both now. So the summary of summary effect bubbles up and decision are made that feel completely random, a slightly different set of prompts could have come up with an orthogonal if not opposite outcome.
Watching Scenes from a Situationship was an enlightening experience for me. I am a firm believer that the Indian woman has always been a force to be reckoned with, regardless of the space or time under consideration. Much of the light and heat that emanate from the souls of my sisters are buried under myriad social and cultural layers. It’s almost as if people know that, left unchecked, these women could become unstoppable forces of nature—and no one would quite know how to rein them in—so a dense mesh of constraints has been put in place. They are meant to keep order in the world.
And yet, there are moments when that brightness breaks through, when you catch a glimpse of what is possible. The female protagonist in the film is very much like that. The film itself supports this with its raw, almost lo-fi aesthetic: unpolished conversations, awkward silences, scenes that feel overheard rather than staged. It doesn’t try to smooth the edges or dress the relationship up as anything grander than it is. That restraint makes her clarity stand out even more. She knows exactly what she’s doing and holds almost all the cards in the relationship. She does not need the man in the way she may have been conditioned to believe she should. By crossing that threshold, she frees herself in a way that is identity-shattering for the man she is in a situationship with. I particularly loved the scene where the two eat a meal of rajma chawal in her bed. She has ordered the food, not cooked it—even though it is a simple, everyday dish.
These were not the rules of the game as this man, and others of his generation, were taught to play. He was meant to offer the woman status and social standing; she was meant to be grateful for his open-mindedness, his lack of judgment, and his willingness to treat her as an equal. By many measures, he is a modern, evolved man. The film captures this dynamic through small exchanges rather than dramatic confrontations. And yet, to his surprise, none of this moves the needle. What unsettles him isn’t her anger or neediness, but her lack of dependence. He has very little relevance to her life and is swappable with just about any other man. That makes him angsty and angry. And yet, if he wants this woman, he needs to get over himself and keep trying to earn value in her life.
This woman has already set herself free. She does not hesitate to call him out when he fails her as an intimate partner, but she is equally unwilling to linger there or make it her life’s work to rehabilitate him. The film treats this not as cruelty but as a generational recalibration. She will move on and explore her options, and that simply needs to be accepted as normal. For anything durable to emerge from their tentative togetherness, he will have to evolve far more to meet her where she already is—and the film seems clear-eyed about how unlikely that is.
A quirky but influential 2016 Washington Post piece digs into a counterintuitive idea: smart people may actually be happier with fewer friends, especially in crowded places. The article reports on research by evolutionary psychologists Satoshi Kanazawa and Norman Li, who analyzed data from about 15,000 young adults and found two broad patterns: people are generally less happy in denser environments, and most people feel happier when they socialize more with close friends. But for the most intelligent respondents, those patterns were much weaker or even reversed: frequent socializing made them less satisfied with life.
The first thought that crossed my mind when I read this was memories of my paternal grandfather. He is probably the most intelligent person I've had the privilege of knowing personally. He was completely satisfied having his stack of books and the trusty short-wave radio. As a kid I often wondered if he would even notice if the rest of the world and all the people in it disappeared and how he could need no one and still be perfectly happy. He was not unsocial and was eager to chat with anyone who came around but it was just as well if no one did for long periods of time. The people did not help or hurt the quality of his life. He was completely self-reliant in that regard. Looking back, I don't think he was such an isolated phenomenon, I have a know a few others who really did not care if they had any friends and to a degree that seems a bit incomprehensible particularly as they grew older and even lost their spouses.
To explain what is going on with intelligent people, the researchers use what they call the “savanna theory of happiness.” The idea is that our brains are still tuned to conditions on the African savanna, where humans evolved in tiny bands of about 150 people and extremely low population density — more like rural Alaska than modern Manhattan. In that ancestral world, staying physically close to a small circle of lifelong allies was crucial for survival and reproduction, so our default wiring still treats open space and tight‑knit groups as comforting. Cram those savanna brains into a packed subway and a giant megacity, the theory goes, and you get a chronic mismatch between what we’re built for and how we actually live.
The twist is that highly intelligent people seem less bound by those old settings. Kanazawa and Li argue that general intelligence helps some people handle “evolutionarily novel” situations better, from big-city density to the constant distraction of modern social life. For them, spending extra hours chatting with friends may feel like time taken away from long‑term projects or abstract goals — writing a book, building a company, doing research — so more social contact doesn’t automatically produce more happiness. Brookings scholar Carol Graham, quoted in the piece, frames it this way: for people driven by longer‑horizon ambitions, endless social time can feel like a drag on what really matters to them.
The article is careful to stress that none of this is settled science. “Paleo” explanations of modern life, whether for diet or happiness, have been heavily criticized for oversimplifying evolution and overpromising practical advice. Graham also notes a methodological caveat: the study looks at global life satisfaction (“How satisfied are you with your life as a whole?”), not day‑to‑day feelings (“How often did you laugh or feel angry yesterday?”), and those two lenses can paint very different pictures of well‑being. Even so, the basic findings, that dense cities can sap happiness and that social ties usually help, with some important exceptions, fit into a much larger body of happiness research.
This book is on my to-read list based on this review in WSJ. The Hubris: Pericles, the Parthenon, and the Invention of Athens, in this review, tells the story of how Athens rose to dominance after defeating Persia and how that success planted the seeds of its downfall. Under the leadership of Pericles, Athens became the head of the Delian League, originally a defensive alliance. Over time, however, this coalition transformed into an empire, with Athens extracting tribute and enforcing control over its supposed allies. What began as cooperation gradually hardened into domination.
The book frames this transformation as a kind of intellectual and political overconfidence. Pericles, influenced by rationalist thinkers, is portrayed as embodying a new faith in human reason over tradition and religion. This shift helped drive Athens’ bold ambitions, but also its blind spots. The same mindset that enabled innovation and democratic reform at home contributed to increasingly aggressive behavior abroad. The review suggests that this wasn’t just strategic expansion. There was a deeper belief that Athens could reshape the world on its own terms. All of that sounds a lot like modern-day America.
At the same time, Athens under Pericles was not simply oppressive. It was also the birthplace of radical democratic reforms, expanding political participation and compensating citizens for civic service. Massive public works projects, including the Parthenon, created jobs and symbolized civic pride. Yet these achievements were funded in part by the wealth extracted from subject states, revealing a fundamental contradiction: a society that championed equality internally while enforcing inequality externally.
The book traces how this tension unraveled. A series of misjudgments including military overreach, internal strain, and unforeseen crises like plague, led to catastrophic consequences. The disastrous Sicilian expedition and eventual defeat by Sparta marked the collapse of Athenian power. While the author frames this arc as a kind of tragic “hubris,” the review pushes back slightly, noting that classical thinkers like Aristotle would attribute such downfalls less to divine punishment and more to human error and poor judgment.
Athens’ trajectory going from liberator to hegemon, from idealism to overreach, mirrors the cycles seen in powerful nations and institutions today. The tension between internal values and external actions, the overconfidence in rational planning, and the failure to anticipate limits are not ancient problems. They are recurring features of human systems. The enduring lesson is that collapse doesn’t require fate or divine retribution. It only a mix of arrogance, ambition, and miscalculation.
At first blush, teaching horses to signal whether they want a blanket might seem like a lighthearted experiment in animal communication. However, asking such a question would rarely be considered applicable to an animal traditionally viewed as an instrument of sport or labor. The project, known as HorseVoice, equips horses with a symbolic method to express preferences—blanket on or blanket off after exercise—and is rooted in research showing that horses can reliably communicate choices when taught through consistent reinforcement.
The logical next step is to wonder: if horses can indicate preferences about blankets, could they eventually communicate about feed, housing, or even whether they want to be ridden? These questions have historically been answered solely from the human perspective, shaped by habit and assumption rather than direct equine feedback. If a horse were to signal that it did not want to be ridden and preferred to be left alone, would the human comply or pretend not to understand? And if so, would that erode the trust between horse and rider? The commentary from a horse rider that the article quotes makes sense:
The HorseVoice researchers argue that we frequently don’t comprehend how horses feel. While this might be true, I’d argue that the most pertinent aspect of that notion is how horses feel health-wise. In other words, whether a horse wants a blanket or not is arguably less important than if it feels unwell.
If similar techniques could be applied to other animals, I can’t help but wonder what dogs and cats left alone at home while their owners head off to work might have to say about their own preferences.
Like so many others, I am a fan of the Costco rotisserie chicken. It has saved the day more than once on a busy weekend when we ran out of steam to cook dinner by Sunday night. Sadly, the $5 wonder that is this bird has found itself in some legal trouble. In a San Diego courtroom, two Californians allege that Costco’s famous Kirkland rotisserie chicken has been lying to us all along.
For years, shoppers have been lulled into a false sense of security by giant signs proclaiming “No Preservatives!” only to discover that the poultry contains sodium phosphate and carrageenan. These are additives that allegedly function as preservatives. For some, this revelation has felt like a betrayal. Would they feel the same aboult salt or lemon? They too could act as preservatives.
The plaintiffs argue that had they known this earlier, they might have paid less or avoided the questionable product altogether. I, for one, never paid much attention to claims about preservatives, assuming they’re included by default if I’m buying anything cooked in large batches at a store. There was also more direct evidence in how long the chicken survives in the fridge. Once that first dinner is done, the leftovers are never particularly appealing the next day. The thing is clearly meant to be eaten fresh and warm, not analyzed under a microscope to see why it remains unspoiled for weeks.
The Costco rotisserie chicken has been one of those rare constants, unchanged even in the complicated and interesting times we live in. It would be a shame if, as a result of this lawsuit, that sense of constancy were altered. One worries Costco might phase out the discredited chicken we’ve all grown used to and replace it with some more wholesome, more “honest” alternative that somehow just doesn’t meet the bar.
Reading this bit of odd news brought Gulliver's Travels to mind, making me wonder if these same mushrooms might have contributed to the author's imagination. It’s fascinating that a mushroom exists which creates the exact world Swift imagined. The BBC reported that hundreds are hospitalized each year in Yunnan Province due to "Lilliputian hallucinations"—vivid visions of tiny, elf-like beings crawling on furniture, walls, and clothing.
"It sounded so bizarre that there could be a mushroom out there causing fairytale-like visions reported across cultures and time. I was perplexed and driven by curiosity to find out more," Domnauer told the BBC. While stories of these hallucinations have circulated for decades, Lanmaoa asiatica was only formally described in 2015, and its psychoactive properties remain largely unexplained.
If people weren't "seeing things" but were instead experiencing identical physical symptoms like aches or nausea, it would be completely unremarkable. We wouldn't think twice about the fact that, across culture, space, and time, the human experience of a physical ailment is identical. Yet hallucinations are perceived differently; they imply that humans do not share a consistent and standard inner universe. It’s unclear, at some level, why seeing Lilliputians is any different from experiencing a severe stomach ache that lasts for the same amount of time for everyone.
The concept of a "standard inner universe" is a topic in modern neuroscience. When different people take the same substance and see the exact same specific imagery (like tiny people or geometric grids), it suggests that our brains are "hard-wired" with certain architectural patterns. It's less like a random dream and more like a physical reflex, just happening in the visual cortex instead of the gut. So while there is a certain oddity appeal to this story about mushrooms, it shouldn't be very inexplicable.
As always, the comments on a Slashdot post are the whole reason why I enjoy reading the content. The coverage of the new Agentic AI Foundation (AAIF) co‑founded by OpenAI, Anthropic, and Block under the Linux Foundation, triggered exactly the debate you’d expect from a community that has spent decades defending real openness. While the headline announcement talks about neutral governance and open standards for agentic AI, many commenters zeroed in on the gap between the branding and the reality of what’s being “opened.”
The core skepticism is simple: standards without real openness around models and data can look like window dressing. As NERDS.xyz’s Brian Fagioli argues (and Slashdot highlights), the companies are donating artifacts like AGENTS.md, MCP, and goose. All useful, but essentially “safe” components that don’t threaten their core proprietary advantage. In the comment threads, users echo this, comparing these contributions to getting a free MP4 player while the actual film library stays locked behind a rental wall: you can wire agents together, but you can’t meaningfully re‑create or audit the systems that matter.
Several Slashdotters draw a sharp line between open standards and open AI. A “real open project,” one commenter notes, would ship not just protocols and SDKs but the full training recipes: datasets in usable form, training code, and reproducible specs, so an independent team could, at least in principle, rebuild the system from scratch. By that yardstick, OpenAI and Anthropic are still firmly in the “closed AI” camp, no matter how interoperable AGENTS.md or MCP become. Another commenter points out that there are a few genuinely open efforts (they mention projects like Olmo) that do share full training pipelines, underscoring that the bar for openness is higher than what AAIF’s founders are currently clearing.
Others zoom in on the Linux Foundation angle. One top‑rated comment argues that it makes sense for the Foundation to engage as AI “is not going away,” and Linux users will want sane, standard ways to plug it into their systems. The “WTF,” in this view, is not the Linux Foundation agreeing to host AAIF, but what OpenAI and peers will actually do inside the new body: will they truly cede control to a community process, or simply use the Foundation’s neutral brand as cover while steering standards toward their own stacks? The pattern here of big vendors using “open” language to shape ecosystems before grassroots projects can, is one Slashdot readers feel they’ve seen many times before. They know how this story ends.
Notwithstanding the skepticism, interoperability is the one area where commenters concede there’s real upside. The promise that agents built with goose can talk to MCP servers and follow AGENTS.md across tools and clouds is genuinely attractive for developers trying to avoid a “one‑vendor agent stack.” But even here, the mood is wary: people like the idea of fewer incompatible protocols, yet worry that if the initial standards are effectively defined by a small set of closed‑model providers, the ecosystem will bake in subtle forms of lock‑in anyway.
While this may not be a blanket rejection of AAIF but it is an early warning system. The community seems to be saying: standards for agents are necessary, the Linux Foundation is a sensible home, but calling this “open” AI is premature as long as the most powerful models and training data remain black boxes. Until that changes, many free‑software veterans will see moves like AAIF as “smoke and mirrors” just a way for Big AI to write the rules of the next era while giving away just enough to claim the mantle of openness.
Reading this WSJ article about "glue employees" brought D immediately to mind. In a modern workplace often obsessed with individual "rockstars," behavioral scientist Jon Levy highlights a more critical asset: the "glue player." These are the employees who hold teams together through high emotional intelligence and quiet leadership. Rather than seeking the spotlight, glue players focus on "leading from behind." They are adept at anticipating needs, drawing out quieter voices, and resolving friction before it stalls a project. They act as force multipliers, making everyone around them more effective without demanding individual credit. D checked every single box and then some, even though you’d rarely hear from her in meetings.
Spotting these individuals requires looking beyond standard metrics like sales figures or lines of code. Levy suggests that glue players leave "clues" in their history, often appearing as mentors, cross-departmental coordinators, or the people who naturally organize community and volunteer efforts. Within an organization, they are easily identified by asking colleagues who they rely on most or who helps the team function smoothly. They are the ones who bridge the gap between silos, ensuring that different departments are aligned and that new hires feel integrated into the culture. I learned about D right as I started the job, and in time, she became my favorite coworker. She either knew the answer or knew exactly who did. If you came in via a warm referral through D, all kinds of doors magically opened. I realized that quickly, and I can’t imagine how much harder it would have been for me to get ramped up without her.
Despite their essential role, glue players are frequently overlooked by traditional corporate reward systems. Most evaluation frameworks measure obvious, individual wins, which effectively ignores the invisible labor of maintaining team cohesion. Levy warns that when companies only reward the top 10% of performers, they accidentally incentivize internal competition and resource hoarding. When a glue player feels undervalued and eventually leaves, the impact is often a "stealth" disaster. Management may not realize why the team’s productivity has tanked until the person who quietly solved everyone else's problems is gone. I was fortunate to leave well before D did, so I didn’t have to experience the complete descent into chaos that followed her departure.
To leverage this "underrated power," Levy argues that leaders must evolve their compensation and recognition models. By introducing peer-nominated awards or tying bonuses to collective team outcomes rather than just individual milestones, companies can signal that collaboration is a core value. Shifting the culture to recognize those who help others succeed not only retains vital talent but also creates a more sustainable environment where "collective genius" can thrive. The article makes the case that the most successful organizations aren't those with the most stars, but those with the strongest glue. I’d say the truth is less binary: You need a few stars who raise the bar and inspire others to try harder, but you need at least one "D" to keep the organization humane.
Reading anything by Shashi Tharoor is always a mixed bag for me. In this article, he argues that India should reject the colonial “Macaulay mindset” but retain English as a powerful tool, positioning the language as an Indian asset rather than a foreign imposition. He contrasts Thomas Macaulay’s original goal, creating English‑educated intermediaries loyal to empire, with the way Indians later turned English into a medium of resistance, global communication, and social mobility. For Tharoor, the real problem is not English itself, but a lingering hierarchy that treats Western knowledge as superior and Indian traditions as secondary.
The column highlights how English‑medium education long privileged Shakespeare, Greece and Rome while sidelining Kalidasa, the Mahabharata, the Ramayana, and other Indian texts, even though these are accessible in English too. Tharoor insists that India must dethrone English from its pedestal as the sole marker of intellect and status, without discarding the language’s practical benefits in IT, diplomacy, academia, and law. He supports the National Education Policy’s push for mother‑tongue instruction, citing countries like Japan, China, and South Korea as examples of nations that modernized without abandoning their own languages.
A central strength of his argument, is the way it foregrounds the aspirations of ordinary Indians. Tharoor notes that while some politicians rail against English as a colonial residue, many working‑class families sacrifice to send their children to “English‑medium” schools because they see the language as a bridge to better jobs at home and abroad. He frames English as both a tool of global access and a language that Indians have domesticated—now used to tell Indian stories, litigate Indian cases, and shape Indian public life. The conclusion is clear: English is no longer foreign; the danger lies in using it to validate ourselves while forgetting our own intellectual and cultural inheritance.
At the same time, there are gaps and tensions in Tharoor’s reasoning that a critical reader should note. First, he underestimates how deeply access to English itself reproduces inequality: if elite schools monopolize high‑quality English education while the poor get low‑quality “English‑medium” instruction, the language doesn’t just liberate, it also hardens class lines. Saying “reject the mindset, keep the language” risks sounding too neat when, in practice, English in India is often inseparable from gatekeeping in jobs, exams, and higher education. The essay acknowledges aspiration but doesn’t fully grapple with how policy would equalize quality of English and mother‑tongue education across social strata. It must be noted that people are judged on how cleanly they speak English. You don't want to have a thick regional accent but instead aspire for neutral one like Tharoor's himself.
Second, his ardent call to teach Kalidasa alongside Shakespeare and the Upanishads alongside Plato is compelling in principle, but operationally vague and improbable. Curriculum time is finite, teacher capacity is uneven, and many state systems already struggle to teach even one canon well; the piece doesn’t confront the trade‑offs or the institutional reforms needed to make this “both/and” vision real beyond elite schools. There is also limited engagement with non‑Sanskritic, regional and Dalit–Bahujan literatures, which risks recentering a pan‑Hindu high culture under the banner of “Indian civilization. He does not offer a proposal for home the Indian literary cannon would be made suitable for easy consumption in an average school setting.
Third, the article largely treats “Macaulay mindset” as a psychological hangover rather than a set of live structural incentives, which may underplay how state, corporate, and global systems actively reward English dominance today. Exams, corporate hiring, scientific publishing, and even many government processes remain heavily English‑centric; without concrete proposals to rebalance these structures, calls to “dethrone” English can remain symbolic. Finally, while Tharoor is persuasive that English has become an Indian language in practice, he doesn’t fully address the risk that celebrating this “Indianness” of English can itself crowd out serious investment in the status, corpus, and domains of Indian languages.
I recently read about a "youth retirement home" in Malaysia and initially dismissed it as a clever marketing gimmick. However, after chatting with a few young people in that target demographic, I realized just how much they genuinely wish this were a valid, long-term life choice.
Gopeng Sanctuary in Perak, Malaysia, is marketed as a haven for the "burnt-out" generation. This eight-acre retreat caters specifically to young adults in their 20s and 30s who feel crushed by the relentless pressure of hustle culture and the rising cost of living. Rather than being a typical tourist attraction, it serves as a dedicated space for those who need to hit the pause button on "adulting" and prioritize their mental well-being in a supportive, quiet environment.
The sanctuary’s philosophy is rooted in the belief that rest should be a fundamental right rather than a hard-earned luxury. For a monthly fee of RM2,000, residents receive full accommodation and three home-cooked meals a day, effectively removing the mental load of daily chores and financial planning. The founder, drawing on his family’s experience in senior care, recognized that the younger generation is suffering from a level of exhaustion usually reserved for the end of a career, and he created a place where the only expectation is to simply exist and recover.
Life there is defined by "slow living" and the total absence of a rigid schedule. The sprawling grounds offer a peaceful backdrop of greenery where residents can engage in low-stress activities like gardening or befriending farm animals. This unstructured approach provides a stark contrast to the hyper-productive world outside, and there is a clear reason why this resonates so deeply with Gen Z.
It used to be that adulthood followed a well-charted path with established milestones; you simply had to follow along, and you’d be okay. While the generation gap has always existed, the path itself remained applicable. That is no longer true. Today, young people often feel like they are playing a game where the rules change without notice and the outcomes are entirely unpredictable. In the midst of this chaos, "retirement" remains a powerful anchoring concept, which explains why the idea of a sanctuary like this exerts such a strong pull.
Lately, I’ve been revisiting movies from thirty years ago to see if I can still relate to those past times and the person I was then. There is a common theory that as people age, they find it harder to connect with the younger generation because they simply forget what it felt like to be that age. While a certain degree of "temporal amnesia" can strike the best of us, I don't believe this disconnect is a universal truth.
Boys On The Side was one of several films from that vintage I’ve watched recently. At the time, the lives of the women in the movie were nothing like mine, and even now, I can’t claim to have much in common with them. However, the film captures the heavy shadows of the past, particularly the AIDS epidemic that upended lives globally and fundamentally changed the nature of relationships. There was an unspoken fear that anything could happen, as sudden as it was unpredictable.
Even in societies more permissive than India was at the time, the epidemic profoundly altered dating habits and ushered in a cautious approach to intimacy. It sparked more frequent discussions about sexual history and testing, leading to a trend of moving slowly toward sexual relations and making immediate requests for exclusivity. In India, where dating was not something people openly discussed, the status quo was generally considered safe. Consequently, the outbreak often served to reinforce the idea that traditional Indian ways were better and more secure.
The movie featured another character I found particularly interesting: the woman who repeatedly finds herself in abusive relationships. To an outsider, her situation might appear largely self-inflicted, yet she possesses an inner core that draws out good men alongside the bad, often allowing her to miraculously escape trouble. I’m not sure if this character was a specific archetype of the era, but I can think of several women I grew up with who careened from one bad decision to the next until they experienced a similarly miraculous outcome. Suddenly, they would find themselves in the right relationship, everything would fall into place, and their comp;licated past would disappear like water vapor on a hot day.
I am surrounded by mothers of my generation who are, in one version or another, the "trailing parent" this Atlantic article describes. In fact, it is so much the norm that I stand out like a sore thumb. I often find myself second-guessing my life choices as the mother of an adult daughter who lives and works far from me. Was I supposed to do more to bring her home on a regular cadence? Should I have insinuated myself into every aspect of her life, offering safety-net support she doesn’t actually need?
These mothers see their kids far more than I do. Often, the children live with them for extended periods. One woman I know drives a couple of hours every weekend just to make herself useful to her daughter and her daughter's boyfriend. She cleans their apartment, runs errands, or brings their cats home with her if they have plans. The list is endless. The daughter works full-time while pursuing an advanced degree, and the boyfriend is gainfully employed. These are not "delinquent" young people struggling to stay afloat; I doubt they would suffer without this non-stop help, but they are happy to accept it.
Another mother ensured the family home was the literal midpoint between her children’s colleges. They report back dutifully for every break. They are fully supported financially, treating their credit cards like magic expense accounts they never have to worry about. Both have expensive tastes that aren't supported by any actual income. These are just two examples among dozens I encounter regularly.
Every generation finds new ways to parent, and every generation frets about it. Maybe the trailing parent is simply the next logical step in an era where adolescence stretches longer. Or, perhaps it’s something more worrisome: an inability to let go and allow children the gift of separation. An important step toward adulthood is the experience of stumbling—sometimes badly—and discovering you can stand on your own. It is difficult for a young adult to develop independence if their parents are constantly hovering, helping them navigate every minor crisis.
These parents view me with a mix of pity and concern because I don’t have that kind of "handle" on my child. She isn’t texting me all day, sharing TikToks every other hour, or disclosing every last detail of her personal and professional life. Instead, I am focused on transitioning into a friend and mentor. This means giving her sufficient space to make decisions good and bad, course correct on her own, be available as a sounding board but not as the arbiter of right and wrong, the decision-maker for her life. Most days, I feel like I am doing the right thing. But occasionally, when I see how "close" these kids are to their parents, I wonder if I’ve missed something. It is never simple to swim against one’s generational tide. Mine is defined by helicoptering and trailing; I’ve chosen a different direction, and I often feel like I'm walking that path alone.
Sad read about the circumstances leading to museum's staff staged a spontaneous, rare, and powerful strike that forced the Louvre to close its doors, leaving thousands of bewildered tourists stranded. This action wasn't just a simple labor dispute; it was a loud, clear alarm bell signaling that the sheer volume of visitors had pushed the institution's infrastructure and its dedicated employees to a breaking point. I had been there over ten years ago and while the crowds were astonishing specially around The Mona Lisa, it had not felt close to the brink.
The core of the "Louvre strike crisis" the article suggests was a fundamental imbalance: record-breaking crowds versus chronic understaffing. In the years leading up to the 2019 strike, the museum’s annual visitor numbers had swelled to over 10 million, a monumental figure that dwarfed the capacity the museum was designed for. While the overall number of visitors skyrocketed, the staffing levels for essential roles like gallery attendants, security guards, and receptionists, had actually been reduced or, at best, remained stagnant. This meant a small, dedicated workforce was left to manage an unprecedented torrent of humanity, leading to what unions described as "untenable" and "suffocating" working conditions. This part as a visitor, I had largely missed. Maybe that is how its meant to be. You get to see the Louvre and you have a so much ground to cover. Its very unlikely that you have the bandwidth to mull the working conditions of the museum staff. They would go largely unnoticed.
The human toll of this imbalance was significant. Staff reported extreme fatigue, being constantly exposed to noise and trampling, and suffering insults from frustrated visitors. The Mona Lisa's room became the epicenter of the crisis, often hosting chaotic and dense throngs of people jostling for a glimpse, making the task of protecting the priceless artwork and managing the flow a daily "physical ordeal." Beyond the strain on employees, the overcrowding raised serious security concerns. Guards struggled to monitor for petty theft or even distinguish abandoned suspicious objects amidst the crush, highlighting a dangerous lack of adequate emergency evacuation measures in the most crowded areas.
This crisis exposed the Louvre's precarious position as a cultural institution caught between its artistic mission and the relentless commercial demands of mass tourism. Union representatives voiced a deeper concern: the Louvre was at risk of transforming from a place of contemplation and culture into a "cultural Disneyland." Their strike was a plea to redefine the museum’s mission, moving away from a single-minded focus on maximizing attendance toward a commitment to providing a "culture of quality for all," which necessitates a respectful and safe environment for both the art and the people who protect it. There was no culture of quality from what I could tell. You could get in and then fight the crowds and do your best to have some kind of an experience. I have been to far humbler museums and come back with lifelong memories but such was not the case with this one. I have just been there and that seems to be the pinnacle of the whole experience.
I found this notion of I will come home to traditional media and news when I grow up, this college phase will pass somewhat naive.
..When he graduates in four semesters with a degree in computer engineering, Lahtaw says he’ll turn to traditional media, metamorphosing into the kind of coffee-sipping, page-turning, “worldly person” that Salle-Widelock describes as obsolete for Gen Z. “I do think my generation neither wants to nor will ever consume news in that manner.”
Until then, the algorithm is still the appeal. Salle-Widelock has come to the conclusion that he, and the majority of his undergrad peers, get their news from social media for two primary reasons: The first, it’s a conscious, cost-efficient, and convenient choice guided by the dopamine rush of an algorithmic addiction. The second, maybe it’s Mark Zuckerberg “attacking” his brain. This was the running theme among the college students I spoke to for this story: Almost all of them were aware of the pitfalls of getting their news from social media, though none seemed interested in changing their habits...
All the reasons why Gen Z likes their new coming from TikTok and the like has been discussed in this story already. There could be an elephant in the room though that it does not talk about. Gen Z has a lot to be concerned about and much less to be hopeful for than than previous generations. They were promised a certain world when they grew up only to find it does not exist and there are no rules for the road now that they are here. The grown-ups do not have any answers and most certainly cannot predict what comes next. News that delivers endless dopamine hits is just the kind of escape this generation needs.
In the labyrinth corridors of a mid-sized tech firm in Silicon Valley, I met a woman (we will call her Sarah), a veteran engineer with over 25 years under her belt, who navigates a kind of solitude. She's the one who first built AI tools into her workflow starting a couple of years ago, transforming tedious work of all kinds into swift outcomes results that shaved weeks off project timelines. Her colleagues, buried in legacy systems and quarterly reviews, still debate the merits of basic automation over coffee breaks, while Sarah feels like she's piloting a spaceship alone in a world where everyone else is pedaling bicycles. She is completely alone.
This isn't mere impatience; it's the hallmark of an early adopter thrust into organizational limbo, a phenomenon increasingly common as AI reshapes workplaces in 2025. Research from the diffusion of innovations theory, pioneered by sociologist Everett Rogers in the 1960s and validated in over 500 studies, underscores this divide: early adopters like Sarah that comprise about 13.5% of any group, embrace change with zeal, only to grapple with isolation when the early majority lags behind, creating a "chasm" that Geoffrey Moore later described in his seminal 1991 book Crossing the Chasm. A 2025 Dayforce study echoes this, revealing that while 87% of executives now use AI at work, only 49% of frontline workers do, leaving high-adapters like Sarah adrift in a sea of inertia.
From my vantage as an observer for just a few days, this isolation manifests not just in productivity lags but in the subtle erosion of morale. She has the choice of going solo but that is not a thought that brings much joy. A 2025 University of Miami study in Organization Science delves into this, examining how "denied holding", unsupportive responses from colleagues, amplifies frustration, pushing innovators to abandon efforts altogether. Lead author Luke N. Hedden captures it poignantly: "Innovators really care deeply about their work... For most of them, it’s an important part of who they are." Without that emotional scaffolding, the early adopter's fire flickers. Tech leaders have voiced similar laments; Satya Nadella, Microsoft's CEO, reflected in a 2025 Work Trend Index that 60% of leaders fret over lacking a clear AI vision, stalling transformation and leaving adapters like Sarah to shoulder the cognitive load alone. "We’re at the forefront of integrating AI to not just work faster, but to work smarter," Nadella said, yet for many organizations, the inertia persists, turning potential allies into unwitting antagonists.
What strikes me most is how this dynamic perpetuates a vicious cycle: the adopter's enthusiasm wanes, innovation stalls, and the organization drifts further from relevance. In Sarah's case, her prototypes gather digital dust while competitors, nimbler startups unencumbered by legacy bureaucracy, leapfrog ahead. A 2023 MIT Sloan Management Review piece on intellectual honesty highlights this tension, noting that psychological safety, while vital, can inadvertently stifle dissent if it prioritizes cohesion over candid challenge. Researchers Tsedal Neeley and Joseph Fuller argue that teams must balance "feeling accepted" with proactive voicing of ideas, lest early adopters like Sarah retreat into silence. Quotes from the trenches abound; a Forbes contributor in 2025 lamented corporate AI adoption as "a mess," attributing plateaus not to tech flaws but to "organizational inertia," where early surges fizzle without structural support. As BCG's 2024 AI adoption report warns, 70% of AI project failures stem from people and process issues, not algorithms—reinforcing that Sarah's solitude is symptomatic of a broader failure to bridge the adopter chasm.
Yet, amid the melancholy, there's a glimmer of systemic remedy, one that organizations ignore at their peril. Observers like me see patterns in the outliers: firms that thrive foster "AI vanguards," informal cohorts of adapters who co-create without waiting for top-down decrees. A 2022 Frontiers study on digital transformation mechanisms suggests that emotional support from peers buffers isolation, turning frustration into collective momentum. Sarah could thrive in such a pocket, her expertise amplified rather than echoed into the void. Marc Benioff, nailed it in a 2025 interview: "Artificial intelligence and generative AI may be the most important technology of any lifetime," but only if leaders nurture the humans wielding it. By securing executive sponsors and prototyping visibly, as recommended in McKinsey's 2025 AI acceleration guide, companies can collapse the time warp, pulling the majority forward.
Aluminium luggage that also functionas as a stool is such a sensible thing to make. I can't count the number of times I wish I could comfortably sit on my luggage while waiting for my flight. While the things looks like luggage its not quite luggage. It turns out that the luggage to chair conversion was designed over a decade ago.
The four-wheeled suitcase by neXstep luggage comes with a pull-out handle that can be detached and unfolded into a chair.
The backless chair, which uses a suspended piece of fabric as its seat, may look more camping stool than comfortable but it means travellers can avoid standing around while they wait to board a plane. The seat can also function as a luggage rack for unpacking or packing your suitcase - handy for those who have been over-optimistic about what they can get away with as hand luggagge.
I have never seen one of these in real-life but it would so wonderful if it were. What's more common is a carry on chair that folds like an umbrella. I have seen some of those and they seem to come handy when traveling with little kids. I read once on a travel blog of another hack - travelling with a pack of balloons to keep kids entertained when you flights are delayed and they are bored out of their minds. This one I have never seen but does sounds like a great idea just like the luggage that becomes a sturdy stool. The irony of long journeys is how one can go from being exhausted standing to dying to stand.