Peloton has been angling for a redemption arc ever since its status as a pandemic darling started faltering when the world reopened for business. It tried to steady the ship with a series of layoffs, a pivot to subscriptions, and a leadership shuffle. Now, Peloton’s hoping to kick off a new era with the Cross Training Series, a total refresh of its product lineup consisting of a new Bike, Bike Plus, Tread, Tread Plus, and Row Plus.
“The impetus behind the Cross Training series is, ‘Let’s just give people one place to do all the strength and cardio workouts in one spot,” says Nick Caldwell, Peloton’s chief product officer. “We now make that convenient, all in one.”
The Cross Training Series takes the swivel display from the original Bike Plus, enables it to spin 360 degrees, and spreads it across the entire product lineup. Meaning, a Peloton machine is no longer for cardio alone. In a smaller space, the display can swing out so you can do strength training or other types of exercises alongside running, cycling, or rowing. The new lineup also adds better audio, updated processors, and improved Bluetooth and Wi-Fi connectivity. The Bike and Bike Plus will also get a new, cushier seat — a feature that Caldwell says was hotly requested from the Peloton community.
The Plus models add even more upgrades. That includes a movement tracking camera so the device can provide form feedback, rep tracking, and suggested weights. The speakers now include a woofer, presumably so the bass drop hits harder in a class, and Peloton partnered with Sonos on the specs and tuning. The machines will also support an “Ok Peloton” voice command that will let members skip moves or pause classes. Meanwhile, the Bike Plus will get a dedicated phone tray that attaches to the handlebars.
The Plus models sort of feel like the company decided to squish the Guide — Peloton’s little-known strength training camera — into its exercise machines. When I suggest this to Caldwell, he says that was basically the feedback Peloton got on the original device. “People who got the Guide put it on their TV and actually used it. They love it. It’s one of our highest-rated products,” he says. “The problem is it having to be plugged into the TV all the time. People really wanted an integrated solution.”
Caldwell says Peloton has also refined some of the features that were first introduced on the Guide. The Plus models support form feedback across a wider range of exercises and the camera has been improved. The devices also have more storage, so they can run larger machine vision models.

Given all the upgrades, these machines won’t come cheap. The two Bikes are the most affordable at $1,695 for the base model and $2,695 for the Plus. It only gets more expensive from there. The Row Plus will cost $3,495, while the regular Tread will cost $3,295. The Tread Plus is a whopping $6,695. At a small New York City launch keynote, CEO Peter Stern also noted that Peloton’s subscription would also be increasing from $44 to $49 per month. Despite the hefty cost, the company’s diehard fans often cite the hardware as a key reason why they love the platform.
But Peloton isn’t pinning all its hopes on hardware alone. Stern declared that “AI has the potential to give humans superpowers” in the company’s Q3 earnings call, and now, it’s adding an AI-powered feature called Peloton IQ across its entire portfolio — as in, old and new machines alike.
I got see a brief demo of Peloton IQ in action, and as a hardcore AI fitness skeptic, I’m begrudgingly curious. The flashiest part of Peloton IQ is for strength training classes. On the new Plus machines, the camera enables Peloton IQ to give real-time feedback and form correction. I watched as a Peloton employee purposefully used bad form on overhead dumbbell presses. It then surfaced a tip to “avoid swinging your body for momentum.” After several poor reps, the AI then advised that employee try a lighter weight. Conversely, when a few lifts were done too quickly, the AI suggested trying heavier weights.
Much of this was reminiscent of the Guide, but more refined. My biggest gripe with the Guide was that it never gave you tips on how to correct poor form — this does. And, if you can’t look at the screen while, say, planking, the machines will give audio tips instead. These specific features require Peloton machines with the new camera, and at launch there’ll be 2,000 compatible classes and 50 programs.


More generally, Peloton IQ also gives insights based on your workout history, class performance, and any third-party wearable history you give Peloton access to from Apple Health, Garmin Connect, or Fitbit. You can set a goal (e.g., get stronger, lose weight, etc.), and the AI will generate a weekly workout schedule across different exercise types, experience level, and workout durations and frequency. When browsing classes, it also lets you know whether a given class may be “harder than your usual” or give recommendations or modifications to your goals based on how you perform in a given week. There’s also the option for Peloton IQ to generate workouts outside of classes, so that users can have a more customized program at their own pace.
When I bring up the lackluster AI fitness features currently on the market, Caldwell tells me, “When I got to Peloton and I looked around, I said, ‘Hey, if we’re going to do AI, we’re going to hire an actual AI team.” He said that while ChatGPT and Llama are part of Peloton IQ’s makeup, the rest is trained on years of Peloton class data and input from the company’s stable of instructors. That, and he actually did hire an in-house AI team to create the product. He insists that the goal isn’t to simply regurgitate information users already know.
“It’s not just that we’re updating your plan and swapping in classes. We’re looking at your activity and trying to teach you something about yourself at the same time, the same way a trainer would.”
1/3
I got to see demos of insights for a fictional Peloton user. To my surprise, they weren’t complete garbage. In one, it noted that the user had spent two weeks performing chest presses at the same weight and suggested they try adding weight or increasing reps in their next workout. Solid advice. On the same screen, it also noted that adding a mid-week 20-minute yoga workout would better prepare them for scheduled strength workouts. This is the sort of actionable insight fitness tech companies always promise when they tack on AI, but we’ll have to see how well Peloton IQ holds up outside of a controlled demo.
Rounding out the updates, Peloton says it’s investing more heavily into wellness via new third-party partnerships. One partnership is with the Hospital for Special Surgery, an orthopedic hospital, for a collection of workouts to help prevent injuries such as runner’s knee and tennis elbow. The company is also partnering with Halle Berry’s Respin — a wellness community centering around menopause and perimenopause — to create an eight-week program that encourages symptom relief from those conditions. Peloton has also acquired Breathwrk, a wellness app that specializes in breathing exercises, and will make the app’s content available to its members.
It’s hard to say whether this is enough for Peloton to put its woes behind it. On the one hand, Peloton fans are relentlessly loyal. Many of the upgrades are direct responses to fan requests. On the other, $6,695 is a bonkers price for an AI treadmill, even if it’s the Ferrari of connected fitness equipment. AI fitness and health features have also yet to fully impress. Regardless, one thing is clear: Peloton is back to betting big on itself — and on its hardware.
Photography by Victoria Song / The Verge
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#Peloton #ushers #era #revamped #hardware
![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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