I keep hearing the same sentence repeating in my head.
“My vision is that every American is wearing a wearable within four years.”
RFK Jr., our current secretary of the Department of Health and Human Services, said this at a congressional hearing at the end of June. Wearables, he said, are key to the MAHA — Make America Healthy Again — agenda. Kennedy positioned wearables for Americans as a means of “taking control” or “taking responsibility” over their health by monitoring how their lifestyle impacts their metrics. In the hearing, he also cited that his friends had shed pounds and “lost their diabetes diagnosis” thanks to devices like continuous glucose monitors (CGMs).
I’m a wearables expert. I obviously don’t hate these devices. My problem with Kennedy’s “wearable for every American” vision is that it lends credence to the idea that everyone benefits from wearable technology. It’s not that simple.
I started wearing a Fitbit in 2014 to lose weight. I’d mysteriously gained 40 pounds in six months. I started running. Dieting. Obsessively tracking my steps, hitting 10,000 to 15,000 a day, rain or shine. I ate as few as 800 calories while logging 15,000 steps daily — for me, roughly 7.5 miles of walking. The promise of all this data, and what Kennedy is touting, is that people will have actionable data to improve their health. I had a ton of data. I could see things weren’t adding up. But the way these products and their apps are designed, I didn’t know how to “take control” of my health. Instead, I continued to gain weight.
I cried a lot during that time. So did my mom, who took my sudden aversion to carbohydrates as a personal offense. (How can you not eat bap? Bap is life!!) It didn’t matter that I improved at running or that I measured everything with a food scale. Each time I went to my doctors, I’d show them my Fitbit data and beg to be taken seriously. My doctors didn’t know what to do with what they were being shown. I also didn’t know how to communicate what I was seeing effectively. Instead, they suggested everything from “you must become a vegan” to “people with slow metabolisms just have to try harder.” By 2016, I’d put on another 20 pounds and, after three years, was diagnosed with polycystic ovary syndrome — a hormonal condition that often causes weight gain and insulin resistance.
Wearables helped me realize something was off, but it was a bumpy ride getting to an answer. That’s been true of my overall experience. Sure, this tech helped improve aspects of my health. I’m a much more active person. I went from being unable to run a mile to racing two half-marathons, a handful of 10Ks, and several 5Ks. My sleep is more regular. I went from being a night owl to an early riser. I’ve watched my resting heart rate decrease from around 75 beats per minute while sleeping to around 55 bpm. My cholesterol is lower. My weight has yo-yoed, but overall, I’ve been able to maintain a 25-pound weight loss from the 60 pounds I gained from PCOS. And, I’ve put on more muscle.
What I haven’t shared quite as publicly is that these improvements came at a heavy cost to my mental health.
My first three years with wearables wrecked my relationship with food. Despite diligently tracking my data, I didn’t get much by way of results. There also wasn’t a ton of guidance on how to apply my data learnings in a healthy way. I ended up hyperfixating on trying anything that hinted at helping me reach my goal. I ended up with disordered eating habits. Food logging is also a prominent feature in these wearable apps, so I meticulously weighed and logged everything I ate for years. If I were even 15 calories over budget, I’d go for a five-minute run around the block to burn 50 calories and get myself back under. I avoided social outings because, when eating out, my calorie logs weren’t guaranteed to be accurate. If I weren’t making enough progress, I’d punish myself by skipping meals. According to my therapist, I had begun showing mild signs of both orthorexia nervosa and anorexia.
I also started developing anxiety about my running performance. If I wasn’t improving my VO2 Max or mile times, I was failing. It didn’t matter that I’d gone from running 16-minute miles to recording a personal best of 8 minutes, 45 seconds. Any time I became injured, my numbers would go down, and I’d feel like a complete failure. When my father died, I was stuck in a funeral home in the Korean countryside, pacing around in circles so that I wouldn’t lose my step streak. Ironically, in a bid to please my wearable overlords, I’ve ended up injuring myself several times through overexercise in the last decade.
I’m okay now, thanks to a lot of work in therapy and the help of my loved ones. But healing isn’t a one-and-done kind of thing. Ninety-five percent of the time, I use wearables in a much more reasonable way. I take intentional breaks the other five percent of the time, whenever old habits rear their ugly head.
Mine isn’t a unique experience. Several studies and reports have found that wearables can increase health anxiety. Anecdotally, when a friend or acquaintance gets a new wearable, I usually get one of two types of messages. The first is an obsessive recounting of their data and all the ways they monitor food intake. The other is a flurry of worried texts asking if their low HRV, heart rate, or some other metric is a sign that they’re going to die. Most of these messages come from people who have had a recent health scare, and I usually spend the next hour teaching them how to interpret their baseline data in less absolute terms. And therein lies the rub. These devices overloaded the people in my life with too much information but not enough context. How can anyone effectively “take control of their health” if they’re struggling to understand it?
There’s never been, nor will there ever be, a one-size-fits-all solution.
There’s never been, nor will there ever be, a one-size-fits-all solution. That’s why I’m skeptical that Kennedy’s vision is even feasible. Doctors don’t always know how to interpret wearable data. Not only that, it’d be a massive undertaking to give every American a wearable. There are dozens, if not hundreds, of products on the market, and everyone’s health needs are unique. Would the government subsidize the cost? Where do health insurance companies, FSAs, and HSAs fit into this picture? So far, all we’ve heard from Kennedy is that the HHS plans to “launch one of the biggest advertising campaigns in HHS history” to promote wearable use.
But even if Kennedy were to solve this logistical nightmare, I take issue with framing wearables as a necessary component in anyone’s health journey. You risk creating scenarios where insurance companies use wearables as a means of lowering or raising premiums, similar to how certain car insurance providers use telematics devices to monitor their customers’ driving in exchange for discounts. It sounds good in theory, but it also opens the door to discrimination. Some, but not all, illnesses can be treated or prevented through lifestyle changes.
Not everyone will experience the darker side of this tech like I have. But I know that many have, and many more will. Some, like me, will eventually find a healthy balance. For others, the healthiest thing they could do is to avoid wearables.
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![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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