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What "Super Agers" Are Teaching Us About Growing Older
When I think about aging well, I don't see a number on a birthday cake. I see capacity. The ability to think clearly. To move with confidence. To stay curious. To laugh easily. To remember where I put my keys. (Okay, that last one is still aspirational.) That's why I teach 4 fitness classes a week and pay close attention to how I fuel my body. Not because I'm chasing youth, but because I've learned, both personally and professionally, that the way we move, eat, sleep, and cope influences how we feel... and how we show up for the people we care about. I don't want to live forever. I just want to live well while I'm here. Like many Boomers, I've been interested in the growing research on longevity. And let's be honest: Boomers have never been good at accepting "no" for an answer. Why would we start now, just because it's mortality asking? We're the generation that refused to compromise. Retirement? Optional. Slowing down? Negotiable. Death? We'd like to speak to the manager. This leads us to a fascinating group of scientists known as "Super Agers." Who Are Super Agers, Really? In research terms, Super Agers are adults over 80 whose cognitive abilities, especially memory, perform at levels expected of people in their 50s or 60s (Rogalski et al., 2013). But here's what I love most: they aren't superhuman. They're not top athletes. They're not biohackers living on kale foam and cold plunges at dawn. (Though if that's your thing, carry on.). They're everyday people who never disconnected from life. A striking Canadian example is Morry Kernerman, a Toronto violinist who kept on learning, hiking, and performing well into the ripe age of 101. His story embodies the spirit of Super Aging: it's not about dodging age, it's about refusing to stop living. In a CBC interview, Maury Kernerman doesn't sound like someone "trying to live longer." He talks like someone who's still interested in living, fascinated by the world, hungry for learning, and unwilling to stand still just because he might do something imperfectly. He also admits something that matters to a lot of readers: he wasn't always an exercise person. He started taking it seriously later in life and describes it as a "rear guard action" that hasn't stopped aging, but has helped him keep his capacity. One of the most poignant lessons: when we're afraid of doing the wrong thing, afraid of failing or being embarrassed, we stop. And standing still is what really costs us. Haven't you heard? Sitting is the new Smoking!! What the Science Is Showing Us Canadian and U.S. researchers, at Western University and Northwestern University, are discovering something significant. Not a pill. Not a quick fix. A system. Angela Roberts (Western University) explained that the Canadian arm of the research isn't relying only on lab snapshots. Participants are sent home with wearable devices so researchers can monitor real-world activity patterns continuously (24 hours a day) over multi-week periods (CBC News, 2024 - https://www.cbc.ca/news/health/superager-centenarians-brain-second-opinion-9.7049411). That design matters because it turns "healthy aging" from a vague concept into measurable behaviours: how much movement you get, how intense it is, how consistent it is, and how it fits into the rhythm of normal life. Super Agers typically stay active, remain mentally sharp, maintain close relationships, handle stress effectively, sleep well, and keep a generally positive attitude (Rogalski et al., 2013 - https://doi.org/10.1162/jocn_a_00300; Sun et al., 2016 - https://doi.org/10.1523/JNEUROSCI.1492-16.2016) Their brains display thicker cortical areas linked to attention and memory, experience slower atrophy rates, have fewer Alzheimer's markers, and show stronger neuronal connections (Gefen et al., 2015 - https://doi.org/10.1523/JNEUROSCI.2998-14.2015; Harrison et al., 2012 - https://doi.org/10.1017/S1355617712000847) A Data Point Worth Remembering When It Comes to Longevity From the wearables, the research study observed that many 80-year-olds in the study, both "super agers" and the control group, were averaging about 25 to 30 minutes of exercise a day (roughly aligned with Canadian movement guidelines). The difference wasn't that super agers moved a little more. The study showed that they got about 30% more of the kind of movement that raises heart rate, what researchers call moderate-to-vigorous physical activity In plain language: it's not just steps. It's getting your engine up into that slightly breathy zone on purpose, most days. There's no single longevity switch. It's a belt-and-suspenders approach: multiple protective habits working together over decades. Let's Talk About Weight (Without Losing Our Minds) People often ask: Should Super Agers be skinny? Or a little plump? The research answer is surprisingly dull (and comforting): Neither. Super Agers come in all sizes. There is no evidence that they share a specific body weight or BMI. What matters much more than the scale is stability, strength, and body composition (Stenholm et al., 2008). Obesity Shows Up Consistently in the Research Midlife obesity is associated with an increased risk of dementia later in life. Several large studies indicate that obesity (BMI ≥30) during midlife raises dementia risk by 33 to 91% compared to individuals of normal weight (Kivipelto et al., 2005; Qizilbash et al., 2015) However, in older age, unintentional weight loss often signals frailty or illness. Weight loss in later life is linked to faster cognitive decline and higher risk of death (Diehr et al., 2008) Being underweight increases the risk of death. Studies consistently indicate that underweight older adults (BMI <20) have 2 to 3 times the all-cause mortality risk compared to those with a normal weight, with one study reporting a 34% higher risk of dementia (Diehr et al., 2008). A slightly higher BMI in later life may actually be protective, especially if muscle mass is maintained. The "obesity paradox" demonstrates that overweight and mild obesity in older adults (ages 65+) are often linked to a lower risk of mortality, particularly from non-cardiovascular diseases (Natale et al., 2023). So, the prescription is clear: avoid extremes. Not so skinny you could use a Cheerio as a hula hoop, and not so plump that tying your shoes feels like a full-contact sport. Here's What Truly Matters: Muscle Mass Strength defends the brain, maintains balance, boosts metabolism, and offers resilience during illness or stress (Peterson & Gordon, 2011) "Skinny-fat", low muscle, higher fat, is actually worse for aging than carrying a bit more weight with muscle beneath (Prado et al., 2012). Super Aging isn't about shrinking yourself. It's about supporting the structure you live in. Sleep: The Quiet Superpower If movement is the main act, sleep is the stage crew ensuring the entire show runs smoothly. Sleep isn't just one thing. It's a cycle (Walker, 2017). The Stages of Sleep (a quick, non-boring tour) Light sleep: The warm-up. Easy to wake from. Necessary, but not enough by itself. Deep sleep: The body's main repair mode. This is where physical repair occurs: muscle recovery, immune support, hormone regulation (Scullin & Bliwise, 2015) (Walker, 2017). REM sleep: The brain's spa. Memory consolidation, emotional regulation, creativity, and learning all occur here (Scullin & Bliwise, 2015) (Walker, 2017). Missing deep sleep leaves your body feeling exhausted. Missing REM causes your brain to become fragile and foggy (Mander et al., 2017). Super Agers tend to guard their sleep, though not perfectly, deliberately (Mander et al., 2016). Consistent bedtimes, morning sunlight, daily activity, and relaxing evenings appear repeatedly. For some people, slow-release melatonin or magnesium can help improve sleep maintenance (Ferracioli-Oda et al., 2013). However, the greatest benefits often come from simple routines: consistency, darkness, cooler rooms, and avoiding phone use at 10 p.m. Sleep isn't a luxury. It's essential brain maintenance (Mander et al., 2017). Stress: The Real Villain Chronic stress is like kryptonite for cognitive health (McEwen & Sapolsky, 1995). The main source of stress is not accepting what is. We argue with reality, and we lose every time. We revisit conversations. We resist change. We attempt to control others. Super Agers appear more accepting, not resignation, but realism (Sun et al., 2016) Here are some practical strategies to consider: Let them. (Thank you, Mel Robbins.) People will be people. You don't need to manage them. Save your energy for what truly matters. And remember: what people think of you... is none of your business. Calm isn't passive. Calm is protective. Gratitude also plays a role. Many Super Agers exhibit a distinct emotional tone: more grateful, less gripeful (Hill & Allemand, 2011) Life wasn't simpler; they simply didn't let bitterness steer the way. Relationships and Quality of Life: The Real Gold Standard Super Agers don't have more friends; they have deeper ones. Strong relationships are linked to better emotional regulation and preserved brain regions. (Cacioppo & Cacioppo, 2014) (Holt-Lunstad et al., 2010) And this isn't about extending life. It's about quality of life: cognitive, physical, and emotional well-being. Because no one wants a farewell-to-life party where nobody shows up because you've been miserable, bitter, or exhausting to be around (thank you, BR). Strong body. Clear mind. Warm relationships. A sense of humour that endures gravity. That's the win. 3 Practical Takeaways to Steal this Week If you want the super-ager approach without turning your life into a science experiment, here are three low-drama moves: Add intensity, not just activity. Keep your regular walk, but pick one segment to walk faster, take a hill, or add short brisk bursts. Your heart rate is the clue. Keep a learning thread running. Music, audiobooks, a class, a museum habit, a book club, anything that keeps your mind taxed in a good way and makes you feel curious again. Make "don't stand still" a rule. If you're avoiding something because you might look silly (a dance class, a new hobby, a new friend group), that's exactly the place to lean in, gently, but on purpose. Super Agers aren't chasing youth. (No one needs to see me in low-rise jeans again.) They're cultivating engagement. (Do you want to dance?) They move. They learn. They sleep well. They stay positive. They accept what is. They remain connected. They rely on the belt and suspenders. And most importantly, they don't wait for permission to live life to the fullest at any age. Yes, biology will win eventually. None of us gets out of this alive. But the real victory isn't in defeating what we can't control. It's in mastering what we can, for as long as we can, and living fully right up until biology takes its final bow. Don't Retire...ReWire! Sue Want more of this? Subscribe for weekly doses of retirement reality—no golf-cart clichés, no sunset stock photos, just straight talk about staying Hip, Fit & Financially Free.
Ocean Tomo Releases 2025 Intangible Asset Market Value Study Results
Global consulting firm J.S. Held announces the release of the Ocean Tomo Intangible Asset Market Value (IAMV) study. With this release, the study now reflects a panel of 50 years of data in the US market and 20 years of data in foreign markets. The study examines the components of market value, specifically the role of intangible assets, across a range of global indexes. IAMV is shown as of calendar year end by subtracting net tangible asset value from market capitalization. Commenting on the Components of S&P 500® Market Value, economic expert and study author Matthew Johnson observes, “the composition of corporate value has undergone a fundamental transformation over the past five decades.” In 1975, tangible assets—property, plant, equipment, inventory, and other physical capital—represented 83% of the market value of companies comprising the S&P 500 index, with intangible assets accounting for only 17%. By the end of 2025, this relationship had completely inverted: intangible assets now constitute approximately 92% of S&P 500 market capitalization, while tangible assets have been reduced to a mere 8%. Johnson adds, “This 75 percentage point shift represents what Ocean Tomo has defined as ‘economic inversion’— a wholesale transformation in the nature of value creation whereby economic worth has migrated from what can be ‘touched’ to what can be ‘thought’." The magnitude and implications of this transformation are comparable to the Industrial Revolution of the 18th and 19th centuries. Just as the Industrial Revolution fundamentally restructured economic activity from agrarian and craft-based production to mechanized manufacturing, the intangible revolution has redefined the sources and measurement of corporate value in the 21st century. Ocean Tomo Co-founder and J.S. Held Chief Intellectual Property Officer, James E. Malackowski observes, “While the Industrial Revolution required a century to unfold fully, the intangible revolution has occurred within a single human lifespan, with particularly rapid acceleration occurring in the 1985-2005 period when intangible asset market value increased from 32% to 79%—a remarkable 47 percentage point surge in just two decades.” The 2020-2025 period deserves special attention: S&P 500 IAMV remained stable at approximately 90% despite the Federal Reserve implementing the most aggressive monetary tightening cycle in four decades. Dr. Nikki Tavasoli, PhD, shares, “Traditional financial theory predicts that intangible-intensive firms should be highly sensitive to interest rate changes due to their long-duration cash flows and limited collateral value.” She adds, “The observed stability challenges this prediction and requires explanation, which we address in a forthcoming paper.” In 2005, the IAMV study was expanded beyond the S&P 500 to explore the components of value in several key international markets. Stock market indexes from Europe, China, Japan, and South Korea were selected and analyzed to determine the comparable role of intangible assets. To learn more about the 2025 Intangible Asset Market Value Study, please visit: Media Contact Kristi L. Stathis, J.S. Held 1 786 833 4864 Kristi.Stathis@JSHeld.com JSHeld.com
When individuals sign up for direct-to-consumer genetic testing, the extent to which they ever think about their genetic data is likely in the context of the service for which they paid: information on predisposition to a genetic illness, or confirmation of an ethnic background, for example. But that data doesn’t just sit on a shelf, and while the most mainstream concern for such services is the privacy of your data, there is also the question of what else the companies do with it, and how. Ana Santos Rutschman, SJD, LLM, professor and faculty director of the Health Innovation Lab at Villanova University Charles Widger School of Law, is particularly interested in the latter. In June 2025, she co-authored an amicus brief centered on data protection and patient’s interests amid genetic testing company 23andMe’s bankruptcy proceedings. In December, many of those same co-authors published a paper in Nature Genetics, highlighting 23andMe’s bankruptcy as “an inflection point for the direct-to-consumer genetics market,” especially as it pertains to the broader corporate use of individuals’ scientific data. The reason? “How that data is used all depends on the policies of the individual companies,” she said. Genetic Testing Companies Use Your Data For More Than The Services You Pay For Those who utilize genetic testing companies—for any reason—are likely also consenting, often unknowingly, to other unrelated items. This includes acknowledgment of information related to how your data might be further used or monetized. “Most people don't think about secondary and tertiary uses of their data,” said Professor Rutschman. “[What they consent to] is displayed on the website somewhere, but it’s not easily understandable and accessible. It’s fine print.” Such companies often operate beyond the traditional “fee for a service” relationship with consumers. Yes, they will give you the information you paid for—finding out whether you have German ancestry or are predisposed to certain genetic disease—but instead of that genetic data just being stored somewhere, it’s often sold for research purposes. Today, in the age of AI big data, that might look something like this: The company puts your data in a box with parameters, along with thousands of others. Perhaps they are then able to observe a pattern that, until all that data was compiled, was previously unknown. They come up with a diagnostic or a medicine and patent it. That patent is licensed to somebody else, and the company makes money on the product. The use of that data for scientific purposes—even ones that turn a profit— is not problematic in itself, says Professor Rutschman. “Some people may even choose a company that allows scientific research over one that doesn’t. Many people may not care, but some will. The uses are not common knowledge, and that is worrisome. The public should be well-informed about what’s happening.” Deeper problems may arise when they aren’t informed of those potential uses of their data. Professor Rutschman cited the infamous Henrietta Lacks case, in which Lacks’ cells were, and continue to be, one of the most valuable cell lines in cancer research. Neither Lacks nor her family were paid for the widespread use of her genetic material until a settlement was reached long after her death. “When you have biologics involved, a concern is that if you have something potentially valuable, you may not see any money from it.” Bankruptcy Can Cause Policy Upheaval To understand the role bankruptcy can play in all of this, one needs to refer back to the power of individual company policy in this space. There are no external laws that dictate how these companies can further monetize their data, says Professor Rutschman, as long as they don’t violate other laws, such as privacy laws. That means that when a company like 23andMe goes bankrupt, as was the case in 2025, new ownership could enact completely different corporate policies for use of their property. In their specific case, the company was essentially bought back by 23andMe founder and CEO Anne Wojcicki’s non-profit, all but ensuring policies would remain the same. But that is exactly why Professor Rutschman and others are highlighting this specific case. “Bankruptcy is bad in the sense that there's a lot of uncertainty,” she said. “In this instance, the person coming in was the person who was there before, so the policy is likely to continue. But that's very rare. There are a roster of companies with access to biological materials. 23andMe is a good example of something not going horribly wrong, but with the understanding that it absolutely could.” Ways in which that could happen could be new ownership undermining the original intent of the data use by cessation of the company’s previous policies, or charging exorbitant prices to other entities to use that data for scientific research. “Because there is no law, these new owners can essentially do as they please with their proprietary data, unless they do something incredibly careless that amounts to the level of illegal,” Professor Rutschman said. “And that is concerning.” Onus Falls to Companies to Enact Safeguards To ensure a worst-case scenario for such companies does not unfold in a bankruptcy situation, Professor Rutschman points to a number of safeguards they could enact to protect their original commitments, ensure equitable access to data for scientific research and promote fair trade. One of which is implementing a company policy stating that commitments from a previous iteration of the company need to be honored if ownership is transferred. Those could include, as the authors recommend, policies “honoring original research-oriented commitments under which the data were collected,” as well as not “enclosing the dataset for exclusive commercial use.” She also highlights the need for Fair, Reasonable, and Non-Discriminatory (FRAND) voluntary licensing commitments, which are inherently more science and market friendly. “Companies in many sectors have committed to this approach, and we are saying it should apply in this space as well. You’ll charge your royalty, but it can’t be a billion dollars for a data set, nor would it be done by exclusively selling to one entity. You can get that billion dollars by selling to 15, 50 or 100 companies, and from a scientific research perspective, that’s what we want. Otherwise, you have a monopoly or duopoly. “There are a lot of different models that can be used, but ultimately what we are arguing is leaving this unaddressed is a really bad idea. It leaves everything exposed, and something bad is more likely to happen.”
Most patients taking popular weight loss and diabetes medications such as Ozempic and Wegovy can safely continue them before gynecologic surgery, according to a new journal article from ChristianaCare published in Obstetrics & Gynecology. The review found that serious anesthesia risks linked to these drugs are uncommon for most patients and can usually be managed through individualized planning rather than stopping the medication. The paper is the first to take a focused look at glucagon-like peptide-1 receptor agonists, commonly called GLP-1 drugs, in gynecologic surgery. These medications were first approved to treat diabetes and are now widely used to support weight loss and metabolic health, which refers to how the body processes sugar and energy. “Our study shows that the evidence does not support routinely stopping these medications before surgery and that the actual risk is low for most patients,” said Michelle Pacis, M.D., MPH, senior author of the study and a minimally invasive gynecologic surgeon at ChristianaCare. Why these medications raised concerns GLP-1 drugs work in part by slowing how quickly the stomach empties. This helps patients feel full longer, but it also raises concerns for surgery. Doctors worry that food remaining in the stomach could increase the risk of aspiration, when stomach contents enter the lungs during anesthesia. Because of this, early recommendations often advised stopping GLP-1 medications before surgery. The ChristianaCare review found that this approach was largely based on caution rather than strong evidence. The authors reviewed data from multiple studies, including large patient groups, that examined outcomes in people taking GLP-1 drugs during procedures. While some studies showed higher amounts of stomach contents, aspiration events were rare and occurred at rates similar to patients who were not taking the medications. New guidance reflects a change in thinking Recent national guidance from several medical societies now recommends a more tailored approach. Most patients can continue GLP-1 medications before surgery. For patients with higher risk factors, such as significant stomach symptoms or known delayed digestion, simple precautions can reduce risk. These precautions may include a clear liquid diet for 24 hours before surgery or closer monitoring during anesthesia. A clear liquid diet includes fluids like water, broth and clear juices. “This shift recognizes both the benefits of these medications and the importance of patient-specific decision making,” Pacis said. Why this matters for gynecologic surgery Many gynecologic surgeries require patients to be positioned in ways that can affect breathing and circulation. At the same time, many patients needing these procedures also have obesity or diabetes, which can increase surgical risk. GLP-1 medications can improve blood sugar control and support weight loss, helping patients enter surgery in better overall health and enhance recovery. Stopping these drugs without a clear reason may work against those benefits. Practical steps to support patient safety The study outlines several strategies care teams can use when patients remain on GLP-1 medications. These include thoughtful anesthesia planning, careful monitoring of heart and lung function, and, in select cases, the use of ultrasound to check stomach contents before surgery. “The goal is not to ignore risk, but to manage it wisely,” Pacis said. “For many patients, continuing these medications supports safer surgery and better recovery.” The authors note that more research is needed, particularly studies focused specifically on gynecologic surgery. Still, the findings offer clarity for patients and clinicians navigating a rapidly changing area of care. “This review helps bring evidence and balance to an issue that has caused a lot of confusion,” Pacis said. “It supports keeping patients on therapies that benefit their health whenever it is safe to do so.”
What Time Should You Actually Turn Off Your Phone at Night?
Everyone’s heard you’re “not supposed to be on your phone before bed” but what does that actually mean in 2026? Most major sleep organizations now recommend putting devices away at least 30–60 minutes before bedtime to protect melatonin and help the brain wind down. The National Sleep Foundation and the American Academy of Sleep Medicine both advise turning off screens about an hour before bed; other experts say a 30–60 minute window is the minimum. (Advisory) Research on blue light shows that evening screen exposure suppresses melatonin and delays sleep, especially when you’re scrolling something stimulating. (Sutter Health) Psychotherapist Harshi Sritharan, MSW, RSW, who specializes in ADHD and digital dependency, puts it bluntly: “To ensure quality sleep and peak performance—whether in sports, work, or school—avoid using your phone after 11 p.m.” For teens and adults with ADHD or anxiety, she says, late-night doomscrolling is especially brutal: screens keep dopamine and stress high at exactly the time the nervous system should be powering down. Harshi says: "The quality of sleep determines your level of executive functioning the next day" She also makes an important distinction: if you are on a device in the evening, active use (choosing a show, talking to friends, looking up something specific) is less harmful than passive use: “Don’t do passive tech use — that doom scrolling, content just being thrown at you,” Sritharan says. “Be more active about your tech use.” That kind of passive feed is more likely to serve up emotionally intense content kids didn’t ask for and aren’t ready to process. You Don’t Need a Perfect Curfew to See Results The good news: the science suggests you don’t have to quit completely at night to feel a difference. A JAMA Network Open study on young adults found that reducing social media use for just one week — not going cold turkey — led to about a 24.8% drop in depression, 16.1% drop in anxiety and 14.5% improvement in insomnia symptoms. Offline.now founder Eli Singer argues that the real challenge is confidence, not willpower. Their data show 8 in 10 people want a healthier relationship with tech, but more than half feel too overwhelmed to know where to start. The platform’s behavior data also show that late afternoons and evenings are when phones dominate use and when people are actually most motivated to make changes. We have less in the tank at night, don't trust willpower to transition off. Have a system/routine of pre-decided of low-effort (potentially fun) activities to help the transition off phones. “We tell people: don’t start with a perfect 8 p.m. curfew,” Singer says. “Start with one realistic phone-off window — even 30 minutes before bed — and prove to yourself you can protect that. That first win matters more than an ideal schedule you’ll never keep.” A Simple, Science-Aligned Answer For most people, Offline.now’s experts land on a practical, high-compliance answer to the question “What time should I turn off my phone?” Aim to put your phone away 30–60 minutes before your target bedtime Make everything after that screen-free by default (books, stretching, music, talking, journaling) If you must be on a device late, keep it brief, low-drama and intentional — no infinite feeds, no emotionally loaded content It’s a small change, but in the context of a day where we’re already on screens for roughly 10 of our 16 waking hours, that last hour matters. Featured Experts Harshi Sritharan, MSW, RSW – Psychotherapist specializing in ADHD, anxiety, insomnia and digital dependency. She explains how late-night and early-morning phone use hijack dopamine, disrupt sleep and make it harder for kids and adults to function the next day. Eli Singer – Founder of Offline.now and author of Offline.now: A Practical Guide to Healthy Digital Balance. He speaks to the platform’s behavioral data on when people are most ready to change, and how 20-minute micro-experiments (like one phone-off window at night) build real confidence over time. Expert interviews can be arranged through the Offline.now media team.
New study suggests Florida Chagas disease transmission
Researchers from the University of Florida Emerging Pathogens Institute and Texas A&M University gathered their resources to investigate the potential of vector-borne transmission of Chagas in Florida. The 10-year-long study, published in the Public Library of Science Neglected Tropical Diseases, used data from Florida-based submissions, as well as field evidence collected from 23 counties across Florida. Chagas disease is considered rare in the United States. Since it is not notifiable to most state health departments, it is quite difficult to know exactly how many cases there are and how frequently it’s transmitted. Chagas disease is caused by the protozoan parasite Trypanosoma cruzi. Nuisance blood-sucking insects known as kissing bugs spread the parasite to humans when exposure to their feces penetrates the mucus membranes, breaches the skin or gets orally ingested. Interestingly, it is believed that most companion animals, like dogs and cats, acquire the parasite from eating the kissing bug itself. The first record of kissing bugs, scientifically known as Triatoma sanguisuga, harboring T. cruzi in Florida was from an insect in Gainesville in 1988. However, kissing bugs have been calling the state home for far longer than humans have. Currently, there are two known endemic species of kissing bugs in the Sunshine State: Triatoma sanguisuga, the species invading homes, and the cryptic species Paratriatoma lecticularia, which live primarily in certain Floridan ecosystems but were not found in this study. Read more ...
The Double-Edged Scroll: Why Passive Screen Time Drains You More Than Active Use
Most conversations about “screen time” focus on hours. But newer research and what clinicians see in practice suggest how you use your phone may matter as much as how much you use it. A 2024 meta-analysis of 141 studies on active vs passive social media use found that, overall, effects are small, but there is a pattern: passive use (just scrolling and watching) is more consistently associated with worse emotional outcomes, while some forms of active use (commenting, messaging, posting) show small links to greater wellbeing and online social support. (OUP Academic) Other work from Frontiers in Psychology suggests that the emotional impact of passive use depends heavily on how you feel about the content: when it triggers envy, comparison or negativity, mental ill-being goes up; when it’s genuinely positive, the effect can be neutral or even slightly protective for some users. (Frontiers) Reviews also point to upward social comparison, FOMO and rumination as key pathways linking passive browsing to lower wellbeing. (ScienceDirect) Psychotherapist Harshi Sritharan, MSW, RSW works with teens and adults who feel “wiped out” by their feeds and draws a sharp line between passive and active tech use: “Don’t do passive tech use — that doom scrolling, or content just being thrown at you,” she says. “I want people to engage in active tech use. Go and search something up, choose the long-form video you actually want, talk to your friends. Don’t let the app decide everything you see — especially for kids, who are getting content they’re not ready for and didn’t sign up for.” She notes that many of her clients describe feeling “numb, anxious or wired” after long passive sessions, a sign that their nervous system is being pulled around by unpredictable, emotionally loaded content rather than chosen experiences. She also discussed the short term recall related to scrolling: "Some of my clients can't even remember what content they consumed right after scrolling. However, we know that what we pay attention to and what we show our brains has an impact on our thoughts, mindset, feelings and overall internal world." Offline.now founder Eli Singer frames this as a design problem, not a moral failing. The platform’s research shows people already spend about 10 of their 16 waking hours on screens; the realistic goal is to upgrade some of that time, not pretend we can all go offline. His advice: instead of vowing to “get off your phone,” start by swapping just 20 minutes a day from passive to active use; for example, messaging a friend to meet up, learning something specific, or planning an offline activity. “When people tell us they feel overwhelmed by their screen habits, it’s not laziness, it’s a crisis of confidence,” Singer says. “We don’t need perfect digital detoxes. We need small, winnable shifts, like taking one block of passive scrolling and turning it into something you actually chose.” For journalists, the story isn’t simply “screens are bad.” It’s that passive, algorithm-driven scrolling is where comparison, FOMO and emotional overload tend to pile up and that helping people change how they use their devices may be more realistic, and more effective, than focusing on raw minutes alone. Featured Experts Harshi Sritharan, MSW, RSW – Psychotherapist specializing in ADHD, anxiety, insomnia and digital dependency. She helps teens and adults understand how doomscrolling and passive feeds hijack dopamine and mood, and teaches practical shifts toward more intentional, “active” tech use. Eli Singer – Founder of Offline.now and author of Offline.now: A Practical Guide to Healthy Digital Balance. He brings proprietary data on digital overwhelm and the “confidence gap,” and shows how 20-minute “micro-wins” like upgrading one chunk of passive screen time can change people’s relationship with their phones without extreme detoxes. Expert interviews can be arranged through the Offline.now media team.
We Don’t Realize How Much Time We Spend With AI. Because It’s Hiding in Our Phones
If you ask most people how often they use AI, they’ll say something like: “I tried ChatGPT a couple of times” or “I don’t really use AI.” But look at their phone, and the story is completely different. Digital wellness platform Offline.now has found that we already spend about 10 of our 16 waking hours on screens, roughly 63% of our day. Founder Eli Singer calls AI “the shadow roommate inside those 10 hours”: invisible most of the time, but involved in more of our everyday taps and swipes than we realize. And we now have data to prove it. A recent Talker Research survey of 2,000 U.S. adults, commissioned by Samsung, found that 90% of Americans use AI features on their phones, but only 38% realize it. Common features like weather alerts, call screening, autocorrect, night-mode camera enhancements and auto-brightness are all powered by AI — yet more than half of respondents initially said they don’t use AI at all. Once shown a list of features, 86% admitted they use AI tools daily. (Lifewire) Singer sees this as a classic “confidence gap” problem applied to AI. Beyond the “invisible AI” on our phones, generative AI tools like ChatGPT, Claude and image generators are spreading fast. A nationally representative U.S. survey from Harvard’s Kennedy School and the Real-Time Population Survey found that by August 2024, about 39% of adults aged 18–64 were using generative AI. More than 24% of workers had used it at least once in the previous week, and nearly 1 in 9 used it every single workday. (NBER) Globally, usage is enormous. A World Bank backed analysis of online activity estimated that, as of March 2024, the top 40 generative AI tools attracted nearly 3 billion visits per month from hundreds of millions of users. ChatGPT alone commanded about 82.5% of that traffic. (Open Knowledge Repository) From a mental-health perspective, psychotherapist Harshi Sritharan, MSW, RSW says the issue isn’t just the number of visits, it’s the way AI subtly shapes the texture of our day. “Every autocorrect, every AI-sorted inbox, every ‘magic’ photo fix is a tiny cognitive hand-off,” she explains. “Individually they feel helpful. But taken together, they keep your brain in a constant state of micro-decisions and micro-rewards, which is exhausting, especially if you already struggle with ADHD, anxiety or overwhelm.” She points out that many of her clients only think of “AI time” as the hours they spend in a chatbot window. In reality, AI is involved when: Their phone decides which notifications to surface A map app reroutes them automatically Spam filters silently screen hundreds of emails “By the time they open a dedicated AI app, their nervous system has already been engaging with AI-driven features all day,” Sritharan says. “That’s part of why people end the day feeling tapped out but can’t quite explain why.” Singer worries that this “shadow AI” is quietly eating into the same finite resource Offline.now tracks with screens in general: attention. “We already know 10 hours a day on screens is unsustainable for our focus and our relationships,” he says. “Layer AI on top — systems designed to predict and nudge our behavior — and you’re not just losing time. You’re outsourcing micro-chunks of judgment, memory and choice without even noticing.” So how much time are people spending with AI? Right now, no one has a perfect number and that’s exactly the point. The best data we have suggests: Most smartphone users are already interacting with AI daily, whether they know it or not. (Lifewire) Roughly 4 in 10 U.S. adults now use generative AI, with a growing share using it at work every week or every day. (Harvard Kennedy School) Globally, billions of monthly visits are flowing into AI tools on top of our existing 10-hour screen days. (Open Knowledge Repository) “The future isn’t AI or no AI,” Singer says. “It’s: Can you be conscious about how you use it — instead of letting it hijack your attention and manage your life?” Featured Experts Eli Singer – Founder of Offline.now and author of Offline.now: A Practical Guide to Healthy Digital Balance. He brings proprietary behavioral data on screen time and digital overwhelm, and a framework (the Offline.now Matrix) for rebuilding confidence through 20-minute, real-world steps instead of all-or-nothing “detox” advice. Harshi Sritharan, MSW, RSW – Psychotherapist specializing in ADHD, anxiety and digital dependency. She explains how AI-assisted micro-tasks interact with dopamine, attention and overwhelm, and offers brain-friendly ways to renegotiate your relationship with both screens and AI. Expert interviews can be arranged through the Offline.now media team.
The AI Journal: UF and other research universities will fuel AI. Here’s why
In the global AI race between small and major competitors, established companies versus new players, and ubiquitous versus niche uses, the next giant leap isn’t about faster chips or improved algorithms. Where AI agents have already vacuumed up so much of the information on the internet, the next great uncertainty is where they’ll find the next trove of big data. The answer is not in Silicon Valley. It’s all across the nation at our major research universities, which are key to maintaining global competitiveness against China. To teach an AI system to “think” requires it to draw on massive amounts of data to build models. At a recent conference, Ilya Sutskever, the former chief scientist at OpenAI — the creator of ChatGPT — called data the “fossil fuel of AI.” Just as we will use up fossil fuels because they are not renewable, he said we are running out of new data to mine to keep fueling the gains in AI. However, so much of this thinking assumes AI was created by private Silicon Valley start-ups and the like. AI’s history is actually deeply rooted in U.S. universities dating back to the 1940s, when early research laid the groundwork for the algorithms and tools used today. While the computing power to use those tools was created only recently, the foundation was laid after World War II, not in the private sector but at our universities. Contrary to a “fossil fuel problem,” I believe AI has its own renewable fuel source: the data and expertise generated from our comprehensive public academic institutions. In fact, at the major AI conferences driving the field, most papers come from academic institutions. Our AI systems learn about our world only from the data we offer them. Current AI models like ChatGPT are scraping information from some academic journal articles in open-access repositories, but there are enormous troves of untapped academic data that could be used to make all these models more meaningful. A way past data scarcity is to develop new AI methods that leverage all of our knowledge in all of its forms. Our research institutions have the varied expertise in all aspects of our society to do this. Here’s just one example: We are creating the next generation of “digital twin” technology. Digital twins are virtual recreations of places or systems in our world. Using AI, we can develop digital twins that gather all of our data and knowledge about a system — whether a city, a community or even a person — in one place and allow users to ask “what if” questions. The University of Florida, for example, is building a digital twin for the city of Jacksonville, which contains the profile of each building, elevation data throughout the city and even septic tank locations. The twin also embeds detailed state-of-the-art waterflow models. In that virtual world, we can test all sorts of ideas for improving Jacksonville’s hurricane evacuation planning and water quality before implementing them in the actual city. As we continue to layer more data into the twin — real-time traffic information, scans of road conditions and more — our ability to deploy city resources will be more informed and driven by real-time actionable data and modeling. Using an AI system backed by this digital twin, city leaders could ask, “How would a new road in downtown Jacksonville impact evacuation times? How would the added road modify water runoff?” and so on. The possibilities for this emerging area of AI are endless. We could create digital twins of humans to layer human biology knowledge with personalized medical histories and imaging scans to understand how individuals may respond to particular treatments. Universities are also acquiring increasingly powerful supercomputers that are supercharging their innovations, such as the University of Florida’s HiPerGator, recently acquired from NVIDIA, which is being used for problems across all disciplines. Oregon State University and the University of Missouri, for example, are using their own access to supercomputers to advance marine science discoveries and improve elder care. In short, to see the next big leap in AI, don’t immediately look to Silicon Valley. Start scanning the horizon for those research universities that have the computing horsepower and the unique ability to continually renew the data and knowledge that will supercharge the next big thing in AI. Read more...
From classroom to cosmos: Students aim to build big things in space
In the vast vacuum of space, Earth-bound limitations no longer apply. And that’s exactly where UF engineering associate professor Victoria Miller, Ph.D., and her students are pushing the boundaries of possibilities. In partnership with the Defense Advanced Research Projects Agency, known as DARPA, and NASA’s Marshall Space Flight Center, the University of Florida engineering team is exploring how to manufacture precision metal structures in orbit using laser technology. “We want to build big things in space. To build big things in space, you must start manufacturing things in space. This is an exciting new frontier,” said Miller. An associate professor in the Department of Materials Science & Engineering at UF’s Herbert Wertheim College of Engineering, Miller said the project called NOM4D – which means Novel Orbital and Moon Manufacturing, Materials, and Mass-efficient Design – seeks to transform how people think about space infrastructure development. Picture constructing massive structures in orbit, like a 100-meter solar array built using advanced laser technology. “We’d love to see large-scale structures like satellite antennas, solar panels, space telescopes or even parts of space stations built directly in orbit. This would be a major step toward sustainable space operations and longer missions,” said team member Tianchen Wei, a third-year Ph.D. student in materials science and engineering. UF received a $1.1 million DARPA contract to carry out this pioneering research over three phases. While other universities explore various aspects of space manufacturing, UF is the only one specifically focused on laser forming for space applications, Miller said. A major challenge of the NOM4D project is overcoming the size and weight limitations of rocket cargo. To address these concerns, Miller’s team is developing laser-forming technology to trace precise patterns on metals to bend them into shape. If executed correctly, the heat from the laser bends the metal without human touch; a key step toward making orbital manufacturing a reality. “With this technology, we can build structures in space far more efficiently than launching them fully assembled from Earth,” said team member Nathan Fripp, also a third-year Ph.D. student studying materials science and engineering. “This opens up a wide range of new possibilities for space exploration, satellite systems and even future habitats.” Miller said laser bending is complex but getting the correct shape from the metal is only part of the equation. “The challenge is ensuring that the material properties stay good or improve during the laser-forming process,” she said. “Can we ensure when we bend this sheet metal that bent regions still have really good properties and are strong and tough with the right flexibility?” To analyze the materials, Miller’s students are running controlled tests on aluminum, ceramics and stainless steel, assessing how variables like laser input, heat and gravity affect how materials bend and behave. “We run many controlled tests and collect detailed data on how different metals respond to laser energy: how much they bend, how much they heat up, how the heat affects them and more. We have also developed models to predict the temperature and the amount of bending based on the material properties and laser energy input,” said Wei. “We continuously learn from both modeling and experiments to deepen our understanding of the process.” The research started in 2021 and has made significant progress, but the technology must be developed further before it’s ready for use in space. This is why collaboration with the NASA Marshall Space Center is so critical. It enables UF researchers to dramatically increase the technology readiness level (TRL) by testing laser forming in space-like conditions inside a thermal vacuum chamber provided by NASA. Fripp leads this testing using the chamber to observe how materials respond to the harsh environment of space. “We've observed that many factors, such as laser parameters, material properties and atmospheric conditions, can significantly determine the final results. In space, conditions like extreme temperatures, microgravity and vacuums further change how materials behave. As a result, adapting our forming techniques to work reliably and consistently in space adds another layer of complexity,” said Fripp. Another important step is building a feedback loop into the manufacturing process. A sensor would detect the bending angle in real time, allowing for feedback and recalibration of the laser’s path. As the project enters its final year, finishing in June of 2026, questions remain -- especially around maintaining material integrity during the laser-forming process. Still, Miller’s team remains optimistic. UF moves one step closer to a new era of construction with each simulation and laser test. “It's great to be a part of a team pushing the boundaries of what's possible in manufacturing, not just on Earth, but beyond,” said Wei.
