The Jaye Band is a new, minimalist smartwatch device
Its primary job is showing you your most important phone notifications
There are no on-board apps or sensors to get in the way
Left unchecked, the phones we carry around with us at all times can become overwhelmingly distracting. A new wearable called the Jaye Band wants to do something about that, acting as a simple filter for everything that happens on your phone.
It’s now raising funds on Kickstarter (via Android Authority), and sells itself as “the minimalist smartwatch designed for the modern attention crisis”. It promises to “reclaim your brain” and give you “a wearable built to filter your distractions, not add to them”.
The idea is that the band becomes a discreet window for your most important notifications, while everything else gets left on your phone. You can set blocks of ‘do not disturb’ time, and there’s no tracking or health monitoring.
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In theory, your phone stays in your pocket for much more of the day, so you’re not constantly checking for new alerts, switching between apps, and scrolling through feed after feed on social media to find a new distraction.
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Pricing and shipping
You can set notification rules via the companion app (Image credit: Jaye Band)
Hardware wise, the Jaye Band sports a small, monochrome OLED display, intended to be shown on the inside of your wrist. The device measures just 38mm x 14.5mm x 7mm (that’s 1.5 inches x 0.6 inches x 0.3 inches), so it’s very lightweight.
The wearable has already gone through three rounds of design and refinement, the developers say, and now needs funding for the production push. It’s already blown past its $5,000 goal, and has raised $35,749 at the time of writing.
There’s an early bird price deal currently available which lets you reserve your band for $129 (about £97 / AU$184, though shipping to Australia doesn’t seem to be offered). When the device launches fully, it’ll retail for $249 (about £188 / AU$355).
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Shipping is scheduled for December 2026, but as always with Kickstarter, there may be delays and production problems along the way. If you’re looking for a more minimal tech experience day-to-day, the Jaye Band could be the answer.
The launch of the latest AI model from a Chinese company — Moonshot AI’s Kimi — reignited debates around American competitiveness and open versus proprietary AI.
On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I discussed why this seems to be such a hot button issue. Beyond suggesting that certain folks should “touch grass” rather than spending their weekends arguing on X, Sean noted that in many ways, this “feels like we’re seeing repeats of prior freakouts,” with everyone in Silicon Valley “expecting that something is going to arrive and blow everything else away.”
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And Kirsten noted that putting heavy restrictions on Chinese AI models could primarily benefit a handful of companies: “Are we accelerating and ensuring that Americans win the AI race, or are we ensuring that certain frontier labs do better than others?
Keep reading for an excerpt of our conversation, edited for length and clarity.
Anthony Ha: For folks who have followed the discourse around Chinese AI, this will probably be very, very familiar from the launch of DeepSeek, where basically a Chinese model comes out; on some benchmarks, it does as well, or at least seems competitive with some of the frontier models; and a certain portion of the tech industry loses their mind.
Some of this [debate] got extra scrutiny because one of the people posting about it was [an executive] at OpenAI. But in general, there [is] this recurring question of: Can Chinese companies beat US companies, at least in some aspects, and do it much more cheaply and in a much more open way?
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Sean O’Kane: Yeah, there are many elements of this that feel like we’re seeing repeats of prior freakouts. I think one of my favorites is: Everybody is so ready [for] and so expecting that something is going to arrive and blow everything else away. And I think my favorite example of that this past week was people showing off that “My gosh, Kimi made in 30 minutes an entire replication of macOS.” And yeah, it made a pretty impressive graphical reproduction of what macOS looks like, but it’s not an OS.
We keep seeing these things happen over and over again, where everybody’s so jumpy in the tech industry. And I think in particular, with some of the Chinese models that come out, there’s this expectation, and I think this gets to the core of why people reacted the way they reacted last weekend. (Also, by the way: Go outside, touch grass, it’s the weekend. Everybody in the industry was trading barbs on Twitter all weekend.) But this jumpiness is really interesting to me because we’re now a week out and I don’t think anybody’s feeling like the end is nigh like they were a week ago.
Kirsten Korosec: We have a really great story by one of our reporters, Tim Fernholz, who tries to unpack the psychosis around this here in the United States. He points to a number of reasons. And concludes — and I don’t want to conclude it for him, but I think that there’s one that rises more to the top than others.
There’s concerns that these Chinese open weight models might have an implicit bias towards China, there’s another worry about security risks and guardrails. But there’s also a pretty big idea here, which is protectionism, and who is going to quote-unquote “win the race”? Is it going to be the US or China? And that seems to be driving a lot of what the fear is.
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I don’t know, Anthony, if you agree with that?
Anthony: I completely agree. I think the China aspect always adds this certain level of hysteria. And that’s not to say that people shouldn’t be concerned about how the U.S. stacks up against China across different industries. But it gets so amped up.
The other thing this reminds me of is the discussion around TikTok a few years ago. And again, it wasn’t that I thought that the concerns around TikTok were totally made up, but that the level of how panicked people got — it seems as soon as you add the word China to any discussion, things just ramp up dramatically. And then in this case, it’s linked to this discussion about open [weights] and this idea that AI is so powerful and so dangerous that the only way we can control it is with these proprietary models from these American frontier companies.
Obviously, most people saying this [have] reasons why they want to say that. David Sacks, who was the AI czar for the Trump administration [and] now has a different role in the Trump administration, was shouting on X about how, “I can’t believe people are opposing data centers, we’re tying ourselves in knots, there’s too much regulation.” And so it’s a way to argue for the positions that they already had around AI. “My gosh, if China beats us, that’s unthinkable, so you have to do what I want to do anyway.”
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Kirsten: Right, and if you were to put across-the-board bans on Chinese open weight models — I’m not saying that there aren’t real concerns here, but let’s just play that out. If we were to do that, it would benefit models created by OpenAI, for instance, and it would force enterprises to use those as opposed to using models like Kimi.
So you really have to ask the question: Are we accelerating and ensuring that Americans win the AI race, or are we ensuring that certain frontier labs do better than others?
Sean: At this point, we should say a lot of this discussion really got kicked off by the head of strategic futures at OpenAI, Dean Ball, who was the first one to come out with this really long post mentioning some of these concerns.
Part of me thinks the reaction to this was because people disagreed with what Dean wrote. Part of me also thinks the reaction was driven by the fact that he kind of just said the thing out loud. He basically said the US should create regulatory FUD — fear, uncertainty, and doubt — and muck up the ability for these open weight models to compete with the US. [Ball later backed away from this argument.]
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And to me, I think you can read in some of the responses from folks, like, “You’re not supposed to say that out loud, Dean.”
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The cyclospora outbreak affecting produce from Taylor Farms de Mexico has sickened over 1,600 people across five states, including Indiana, Kentucky, Michigan, Ohio and West Virginia. It’s one in a long line of severe produce outbreaks, but this time, I’m reconsidering how I approach food safety, given that the greens meant to nourish us continue to pose contamination risks.
Over the last year and a half, I’ve used my Gardyn Studio, a hydroponic growing system, to grow my own produce in my small NYC apartment. I’ve harvested arugula, kale, lettuce, peppers, cucumbers, cherry tomatoes, herbs and edible flowers, even throughout the winter — and, more importantly, I’ve had full control over the safety of my produce.
What to know about the 2026 cyclospora outbreak
Cyclospora is transmitted through food and water contaminated with the parasite, with symptoms typically manifesting approximately 1 week after exposure, though cases can range from two to 14 days or longer. The 2026 numbers represent a significant increase from the 249 cases reported in the US during the same period last year.
According to The Cleveland Clinic, symptoms of cyclospora infection often include sudden watery stools and even explosive diarrhea. Other common symptoms include:
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Stomach cramps
Bloating, increased gas and burping
Nausea
Unintentional weight loss
Loss of appetite
Extreme fatigue or weakness
While home-growing your produce doesn’t eliminate all food safety risks, it can eliminate the specific contamination risks present in mass industrial distribution systems and exposure to pesticides. Given these risks, many are looking for ways to bypass mass distribution entirely. This is why I started using the Gardyn Studio.
Nasha Addarich Martinez/CNET
Why I switched to the Gardyn Studio
The Gardyn Studio is a compact, 4.5-foot hydroponic tower with 16 growing slots, LED grow lights and a mobile app that manages your growing from start to finish. Having used it for over a year, I have a clear sense of its benefits and shortcomings.
I appreciate how self-sufficient the device is: You insert the pods, set the lighting schedule, add water and plant food, and refresh the tank every few weeks. Other than that, the plants pretty much grow on their own. Not every pod is a success, though. In every cycle, at least two pods fail to grow. While Gardyn will send replacement pods, you will need the Gardyn Nursery (a separate $80 device) to grow the sprouts before you can insert them into the Studio.
I’ve found the harvesting time to be quick. My arugula reaches maturity in about three to four weeks. The Kale takes about five weeks. In both cases, the taste and quality are unsurprisingly better than store-bought greens.
The Gardyn Studio costs $579 and is great for small spaces. If you have a larger home, you can also consider the Gardyn Home ($899), which fits 30 growing slots, compared to the 16 on the Studio.
There’s also an optional membership that costs between $25 and $39 a month or $259 a year, which includes monthly credits you can use to buy more plants and access to Kelby, the AI gardener that will automate watering cycles and lighting based on your specific plants’ life cycles and the local environment. It also sends push notifications to the Gardyn app to alert you when to add water, add plant food or harvest.
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Last year, a CNET Survey found that US adults who shop for groceries waste an average of $125 a month on food that’s not cooked or eaten. That’s $1,500 a year. I rarely waste food grown in the Gardyn since I harvest it as needed, so I rarely end up with excess greens wilting away in the fridge.
Gardyn specs at a glance
Price
$579 (hardware)
Height
4.5 feet tall
Floor Space
1.4 square feet
Growing Capacity
16 plant pods simultaneously
Technology
LED grow lights, automated nutrient delivery via app
Pod Pricing
$1.99 to $4.99 (member pricing); $4.99 (non-member)
Premium Pods
Up to $9.98
Monthly Pod Credits
5, complimentary with membership (10 with Gardyn Home)
Operating Cost
Minimal electricity (comparable to a smart bulb)
Warranty
2 years
Membership
$25 to $39 a month
Trial
30 days
The pros and cons
While I use my Gardyn year-round, there are things to consider before committing to it. The upfront cost of $579 puts the Gardyn Studio in the same category as high-end kitchen appliances, but the benefits of growing my own produce at home and no longer having to buy it make it worth it to me.
Pros:
Eliminates contamination risks
Compact design that fits in small spaces
Minimal maintenance (no soil or gardening skills required)
Responsive customer service for pod replacements
Reduced pesticide exposure
Cons:
High upfront costs
Some pods fail to grow
Ongoing pod and nutrient costs
No ability to grow root vegetables
For those without access to hydroponic systems
Nasha Addarich Martínez/CNET
Growing your produce at home is still valuable, even at a smaller scale. Windowsill herb gardens require minimal equipment and investment. My first home garden was in a 10-inch planter, where I grew cilantro, basil and parsley, which I put on my windowsill.
Buying from local farms and building relationships with local farmers’ markets establishes direct supply chains from the source, without the middlemen (distribution centers). Inquiring about produce sourcing at your local supermarket creates incentives for transparency and regional cultivation. These approaches won’t prevent every outbreak, but they reduce dependence on centralized supply chains and create accountability between producers and consumers.
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Food safety doesn’t (and shouldn’t) have to be a luxury. It does, however, require deliberate choices about where food originates and who controls its cultivation. The Gardyn Studio is one option among many, and the one that works for my lifestyle and home. What matters most is recognizing that alternatives to mass food systems exist.
Nasha Addarich Martínez
Managing Editor
Nasha is a Managing Editor for CNET, overseeing our sleep and wellness verticals. She is a nutrition, mental health, fitness and sleep science enthusiast. Her passion for mindful and holistic practices transcends her personal life and profoundly influences her editorial approach, as she weaves evidence-based insights with practical advice to inspire readers to lead healthier, more balanced lives. Throughout her career, she’s covered various topics including financial services, technology, travel and wellness.
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The European answer to TBPN is here and ready to go live five days a week, starting June 27.
Luke Knight and Ronan Chambers first launched the London-based European Technology Network (ETN) last October, breaking down tech trends and news during a two-day-a-week live stream. Right now, the show is live-streamed on X and YouTube and has garnered more than 5 million views.
On Monday, the network announced a $1.6 million seed round from top players in the media ecosystem, including Powerhouse Capital, Axel Springer SE (which owns Business Insider and Politico), the popular media publication LadBible, and angel investors from OpenAI and DeepMind. With this fresh capital, the network is announcing its largest expansion yet.
It’s now moving into a big studio in Kings Cross (where all the hot London AI startups are situated), expanding the team (right now of just eight), launching a newsletter, and is, starting today, moving into a five-day-a-week live show schedule, which will soon see Knight and Chambers interview the likes of George Robson (a partner at Sequoia) and Rishi Sunak (former UK Prime Minister and senior advisor to Anthropic and Microsoft).
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Speaking to TechCrunch, Knight and Chambers said ETN has already become a hot stop on the press tour for European startups — they’ve spoken to the founder of Syntheisa, the CFO of Legora, the founder of Granola, and Kanishka Narayan, the UK’s first AI Minister. They’ve even had American investors stop by the show when they are in town, including one from Andreessen Horowitz.
“ETN was born out of a gaping hole in the industry,” Chambers told TechCrunch. “It’s centered around pace.” He said the current media ecosystem in the UK cannot keep up with how fast the tech scene is moving. For example, so far this year, London startups have raised $14.7 billion according to Dealroom. Six companies have raised more than $500 million: Wayve, Superintelligence, ElevenLabs, Recursive, Ineffable Intelligence, and Isomorphic Labs, the latter three of which were founded by DeepMind alumni.
“These are things that have never happened in Europe before,” Chambers continued, referring to the speed at which capital is flowing through the ecosystem. As the show became more popular, Chambers said they were getting around 70 pitches a week from guests looking to come on the show. They would try and cram 12 interviews into two hours, twice a week, but eventually it got too much. “We needed an outlet that could move at the pace of that,” he said of both the interest in the show and how fast Europe’s tech ecosystem is moving, “which is the reason we’re going from two days a week to five days a week.”
The five-day format will look quite similar to the two-day format. There will be a live show from 12 p.m. UK time to 3 p.m., breaking down trending stories, and then for two hours, they will have guests on the show talking about whatever they want. Chambers said they also want to start hosting debates, roundtables, and a Shark Tank-style pitching session on the show.
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“We want to make it as useful as we can for the ecosystem,” Chambers said. “There needs to be more discourse around AI in Europe. There needs to be more discourse around venture capital and cash flowing into the ecosystem. There needs to be more discourse around the amazing things that are happening in the tech ecosystem, and our role is to be the stage in which people can shout about all the amazing things they’re doing.”
The show makes its money from ad dollars, like most media publications, and big-name sponsors already include prediction market Polymarket, blockchain company Base, and the AI audio darling ElevenLabs.
When asked about the influence TBPN has had on them, Knight and Chambers said they indeed do look at John Coogan and Jordi Hays, founders of TBPN (which recently sold to OpenAI for what some say was a nine-figure sum), as pioneers of this new tech media ecosystem. The show became a place for tech guests to appear and chat with friendly faces, announcing new product releases, hires, or funding news. “My thinking was, if we can have an ITV and a BBC, why wouldn’t we have a regional version of this?” Chambers continued.
Europe is a big place, though, with more than 40 different countries and over 200 languages spoken (24 of which are recognized by the European Union). Chambers said that although ETN will report from London, he and Knight are making an effort to bring on guests from across the continent. Aside from bringing guests into the studio, they also travel to the hottest tech conferences around Europe. For example, they’ve broadcast from the Panathenaea Conference in Athens and from inside the Louvre in Paris for the RAISE AI Summit.
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“You have all these different cultures, these different minds coming together and creating different products,” Chambers said. “You get a taste of what makes [Europe] a superpower.”
With all this, they said they would never turn an American founder away should they want to come on the show. “It’s a European technology network, but we think there’s massive [global] opportunities,” Chambers said. Knight added to that, noting how often conversations pit the European tech ecosystem against that of the U.S.
“We are globally optimistic,” Knight said. “We are pushing global prosperity from Europe. Wherever you want to go and build your company, wherever is the best place to go and build that company, go and do that, and we will shout for you to go and do that.”
He and Chambers also don’t necessarily see themselves as journalists; rather, they consider themselves tech insiders curious about what is going on and why. They also don’t see themselves as replacing traditional media and instead intend to work in tandem with those publications. “We rely on traditional media,” Chambers said, adding that is how they find much of the news that they to talk about on ETN.
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Overall, the duo hopes to help document the stories coming from the new wave of European success, from ElevenLabs in London to Lovable in Stockholm, to help the upcoming generation understand that technology is one way to drive a nation forward.
Discussing the impact of European success stories, Chambers said, “It riles up the next generation to the point where it’s no longer cool to finish university and go into banking or consulting. People want to leave university and go straight into building a startup, and I think that’s an amazing thing.”
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As the worlds of networking and security increasingly collide, the role of network engineers is also evolving. IT teams are now on the frontlines of an organization’s cybersecurity, monitoring what’s happening across traffic, users, devices to spot issues and threats early, and act before they escalate.
Laura Lehman
Director of Digital Experience Product Management at GTT.
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When network and security architectures are integrated well, complexity decreases while performance increases, security gets stronger and latency lowers; and overall, day-to-day operations become simpler.
With better visibility and AI-driven automation, organizations can spot and contain threats even faster, improve oversight across users, devices and applications, and build a more agile platform for digital transformation, including cloud adoption, branch modernization and hybrid working.
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Perhaps the most significant evolution is that the old “detect, diagnose, fix” workstream for a network engineer is being replaced with a more proactive model. Aided by AI, networks can now learn from past behavior, flag early warning signs and trigger preventative actions automatically.
The payoff is more resilient infrastructure, a stronger security posture, and IT teams spending less time firefighting and more time moving the business forward.
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From hardware-first to intelligent, software-defined experiences
Legacy enterprise networks were static and complex. Each organization had its own complicated mix of hardware, stitched together via multiple management tools that generally didn’t communicate very well with each other.
Diagnosing a network problem meant going through the process of elimination to isolate the failed system, then coordinating with multiple vendors to resolve it, which was often a time-consuming and error-prone affair.
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Virtualization and automation have done much to improve upon that process already, helping today’s distributed enterprises achieve speed, scale and security across hybrid cloud environments, global data centers and remote workforces. However, AI is rapidly accelerating and opening up new avenues for this continual transformation.
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AI-driven analytics provide visibility and context that traditional network tools never could. This allows IT teams to see patterns such as traffic flows, user behavior and performance metrics across siloed systems, all in real time. With this depth of continuous insight, networks can be fine-tuned dynamically rather than through manual and static configurations.
These capabilities reflect the move from static infrastructure to intelligent systems that can continuously adapt to the needs of the business.
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Adaptive networking as the new normal
The traditional incident response sequence is well-worn: detection, diagnosis, escalation, and remediation. Even with automation, the process still depends on significant human intervention after the incident.
AI networking can predict potential disruptions before they happen by continuously analyzing telemetry data across the network. This is true whether it’s a failing device, an unexpected change in latency, or an issue due to environmental factors such as weather events. With the visibility provided by AI, IT teams have a comprehensive view of highly complex, multi-vendor network environments.
And once a potential problem is identified, an AI-driven network management platform can automatically recommend configuration changes to address the issue. While past reactive approaches focused on ‘the fix’, adaptive network management is preventative. AI enables IT teams to not only respond to problems faster, but to prevent them altogether.
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What this means for network engineers
With AI-powered network management, IT teams are no longer spending their time chasing alerts or manually reviewing logs. Instead, they are interpreting insights and validating recommendations produced by AI systems.
This partnership between human expertise and AI marks the beginning of the “adaptive network era.” AI surfaces patterns, predicts needs and makes recommendations, while IT teams remain firmly in control with more context and foresight at their disposal than they’ve ever had before.
The business cases and practical benefits of AI network management stack up across a few key areas:
Efficiency: Routine diagnostics, reporting and configuration updates are automated, freeing IT staff to focus on more strategic priorities.
Cost Savings: In industries such as retail, finance and manufacturing, every minute of downtime means loss of revenue. Reducing outages and maintaining uptime directly impacts the bottom line.
Security: By continuously monitoring patterns and anomalies, AI enhances network defense and can help spot early signs of compromise that traditional systems may overlook.
More broadly, AI tools will bring a level of speed, reliability, and security that will reshape the networking experience. Complex network environments will be easier to manage, decision-making will be faster and more informed, and the process as a whole will be smoother and more reliable.
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Of course, turning promise and potential into reality is more than just deploying new tools. AI is as good as the data it learns from. Enterprises need to ensure that their data pipelines are accessible and clean, and IT teams need visibility into how AI makes its recommendations and human-in-the-loop governance practices. High-quality data and trust are key, especially when automation affects live network traffic and security posture.
Building networks around people
Organizations are beginning to realize the value of networks that can adapt and recover from issues with minimal intervention. As AI is woven further into service provider operations, the tools enterprises receive will be redesigned to fit the day-to-day needs of the people using them.
Longer term, this points to a more user focused operations model, where dashboards tailor what they show and bring the right insights to the surface for each group, from administrators to business stakeholders and C level decision makers.
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The most effective approach will blend human judgement with AI-powered analysis and recommendations.
This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit
Spanish deeptech company that shrinks large language models wants investors to bet that efficiency, rather than sheer scale, is where the next stretch of AI money gets made.
Multiverse Computing, based in San Sebastián in Spain’s Basque Country, has opened a Series C round targeting up to $570m (€500m), the company said on July 27.
The raise would value the startup at roughly $1.7bn (€1.5bn) before the new money arrives, which the company put at about five times its previous valuation.
The pitch rests on CompactifAI, a tool Multiverse says can compress a large language model by up to 95% with what it calls immaterial accuracy loss. It borrows tensor networks from quantum physics to strip redundancy out of a model, cutting the memory, cost, and energy each query burns.
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The technique sits inside a broader compression race that has pulled in far larger players.
In practice, the company sells slimmed-down versions of open models such as Meta’s Llama, packaged to run on cheaper hardware or on-premises rather than inside a hyperscaler’s data centre.
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That edge-to-cloud framing is the heart of the Series C pitch. As inference, the cost of actually running a model, overtakes training as the dominant expense for many buyers, the argument goes, they will pay for the same output at a fraction of the compute and power.
It is not the only use Multiverse has found for the maths. The firm, which began in quantum software, has applied the same methods to other problems, including a system to predict floods. The through line is squeezing more out of less, whether the target is a neural network or a river.
The round is co-led by Forgepoint Capital International, the BNPP Solar Impulse Venture Fund, and Bullhound Capital, according to the company. If it closes at the top of the range, Multiverse’s total funding would reach about $800m across all rounds.
The company has not said when it expects to finish raising, nor disclosed the terms attached to the lead investors’ stakes. A round that is announced while still open can also close below its target.
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In June 2025 the firm closed a Series B worth €189m, or about $215m, led by Bullhound with backing from HP Tech Ventures, Toshiba, Forgepoint, SETT, and Spain’s CDP Venture Capital. Bloomberg reported in February that Multiverse was in talks at a €1.5bn valuation, the same figure now attached to the Series C.
Multiverse was founded in 2019 by chief executive Enrique Lizaso, a former banker, and chief scientific officer Román Orús, a physicist whose work on tensor networks underpins the product. Both the compression business and its quantum tools sit inside a wider European quantum push that has drawn heavy public funding.
Its customer list, per the company, runs to Iberdrola, Bosch, Telefónica, Allianz, Bank of Canada, Indra, and PwC.
Multiverse also reported steep growth to match its ambitions, claiming a tenfold rise in annualised revenue since the last round and first-quarter sales up 96 times year on year. Those figures are self-reported and have not been independently audited.
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The bet is a distinctly European one. As models grow more expensive to run, a cluster of the region’s startups is chasing the inference bill rather than the frontier.
Data-centre electricity demand has become one of the industry’s hardest constraints, and trimming the energy a model burns per query is one of the few levers a startup can pull without owning chips or power stations.
Multiverse is selling the opposite trade. If the future of AI is smaller, cheaper, and closer to the edge, a compression startup on the Basque coast would rather own that corner than chase the frontier it is quietly trying to cut down to size.
The manual transmission occupies a strange, almost contradictory position within modern car culture and the auto industry itself. On one hand, car enthusiasts adore the manual transmission for its fun factor and added engagement, so much so that there are entire communities dedicated to “saving the manual.” On the broader industry side, however, things are not so rosy for the manual gearbox, with a decreasing list of manual cars available each year and the vast majority of them coming in niche sports models.
There has, however, been some sense of the manual transmission making a comeback recently, with some attributing this to the increasing popularity of manuals among Gen Z drivers. Is this actually happening though? Are young drivers leading a surge in demand for new manual vehicles that’s causing automakers to rethink their product strategies? That part isn’t so clear.
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There may be strong interest in manuals from some Gen Z drivers, but the actual market size of this group, and the influence it has on the industry, might be a bit overstated. The trend highlights the importance of distinguishing between the vocal online commentariat and real-world car buyers. It also underscores the distinction, no matter the age group, between niche car enthusiasts and the mainstream auto market.
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Why Gen Z Is Drawn to Manual Transmissions
For decades, a manual transmission with a clutch pedal was default equipment on a huge portion of cars, trucks, and SUVs sold in America. In fact, because of this,some people even called them “standard transmissions.” Many buyers would pay extra for the convenience of an automatic, but as recently as the mid-2000s, it was still fairly common to see manual transmissions on a lot of normal cars and trucks. Gradually, though, the manuals became a niche option that had to be specifically sought out by drivers who wanted to row their own gears.
With the decline of mainstream manual-equipped vehicles, many younger drivers grew up without ever needing to learn how to drive one. Car enthusiasts, though, are different from your average driver, and for them, the decline in manual options has brought an increased reverence for the market’s stick shift models.
It makes sense that Gen Z might be driving recent interest in manual transmissions in ways that older generations didn’t when you consider they’ve grown up in a world full of automatic cars and EVs, the latter of which have single-speed transmissions rather than a multi-speed gearbox. There is, however, a difference between a group showing interest in manual cars and having the means to go out and buy brand-new ones in significant numbers.
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Manual Enthusiasm Doesn’t Equal a Market Comeback
The exact degree to which the manual is or isn’t making a comeback is hard to discern, especially when you factor in new car sales. While there is strong demand at times for manuals among enthusiasts, that interest isn’t always enough to sustain mainstream offerings. For example, manual Volkswagen Golf GTI take rates in the U.S. surged to 41% of the hatchback’s orders in 2024. Still, these take rates weren’t enough to make Volkswagen change its mind about bringing back the manual Golf GTI after axing the stick option for the 2025 model year. On the other hand, you have Subaru planning to add three manual cars to its 2027 lineup.
A 2023 article from the Wall Street Journal highlighted growing manual interest among younger drivers, but some of the enthusiasts profiled in the story were driving older ones. The article also brought up the manual share of the new car market rising from 0.9% to 1.7% from 2021 to 2023. However, according to The Washington Post, preliminary government data shows an all-time low of 0.6% of new vehicles manufactured for the U.S. featuring stick shifts. These numbers reinforce the idea of niche manual enthusiasm (especially among younger drivers) versus a broad market transformation.
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It’s unlikely we ever return to the days when Camrys, CR-Vs and F-150s came standard with manual gearboxes, but continued interest from young enthusiasts should help keep today’s dwindling number of manual cars from disappearing completely.
According to reports, Apple plans to introduce its new Apple Upgrade leasing plan in the United States next week. The program aims to spread the cost of eligible devices into monthly installments. It may also act as an alternative to the existing iPhone Upgrade Plan offered by Apple.
Apple is expected to launch the Apple Upgrade Program in partnership with Klarna. Customers will reportedly need to complete a soft credit check before enrolling. According to reports, the Apple Upgrade Program is expected to work just like a subscription. Customers have the option of paying for their device in full before the end of their lease period.
Customers can also retain the device after paying off the entire amount. If the customer is no longer interested in the device, they can give it back when the lease expires. The customer gets more freedom compared to a one-time purchase. Apple is likely to offer various lease deals depending on the device. iPhones and Apple Watch can be leased for 24 months. Macs and iPads will have a 36-month lease.
Eligible Devices, Exclusions, and Changes for Buyers
Image: Onur Binay
The plan is said to cover eligible iPhones, iPads, Macs, and Apple Watches. But not all Apple products are set to be covered by the new lease plan. This is because some products will be excluded from the list, among them the iPhone 16, Apple Watch SE, budget iPad, and MacBook Neo. Apple also plans to exclude business and education purchases.
Unlike the current iPhone Upgrade Program, the new service is not expected to offer AppleCare coverage. Reports also suggest Apple will stop accepting new customers for the existing iPhone Upgrade Program after Apple Upgrade launches. The new leasing option may make premium Apple devices easier to afford. Customers can spread payments over several months instead of paying the full price upfront.
Google is widening the rollout of two long-awaited Google Maps features for Android Auto users: Immersive Navigation and a built-in live speedometer. After months of limited availability, reports suggest both features are now reaching a broader group of users, including people running stable versions of Google Maps instead of beta builds.
The update is part of Google’s ongoing effort to modernize the Android Auto navigation experience. While the company unveiled Immersive Navigation earlier this year as one of the platform’s biggest upgrades in years, the feature has been trickling out slowly, leaving many users without access. That appears to be changing, with more devices now receiving the update through a server-side rollout.
The rollout is still gradual, and availability may vary depending on region and device, but it signals that Google is becoming more confident about deploying the new experience at scale.
Maps becomes more visual while Android Auto gains a useful driving tool
Immersive Navigation makes Google Maps easier to follow while driving by displaying richer road layouts, clearer lane guidance, and more detailed intersections. The updated interface is designed to present navigation information in a way that’s easier to interpret with a glance instead of requiring drivers to study the map.
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Alongside the redesigned navigation view, Google is also expanding the rollout of a live speedometer inside Android Auto. Unlike speed limit warnings, the feature displays the vehicle’s current speed directly within Google Maps, reducing the need to switch attention between the infotainment display and the instrument cluster in vehicles where that information isn’t readily visible.
Users receiving the update will also notice another interface change. On Android phones, the Gemini icon has replaced the Google Assistant shortcut in the top-right corner of Google Maps, continuing Google’s transition from Assistant to Gemini across its ecosystem.
A server-side rollout means patience is still required
Although more users are reporting access, Google has not released the features through a standard app update. Instead, the rollout appears to be happening server-side, meaning installing the latest version of Google Maps or Android Auto does not necessarily guarantee immediate access. Reports also suggest the features are appearing on stable builds rather than remaining exclusive to beta users, making them accessible to a much wider audience over time.
Google
For Android Auto users, this update is less about adding flashy new capabilities and more about refining the everyday driving experience. Better lane visualization, more detailed navigation guidance, and an integrated speedometer are incremental improvements individually, but together they make Google Maps feel more complete as an in-car navigation system. As the rollout expands, more drivers should begin seeing those upgrades without needing to join Google’s beta programmes.
It’s been two years since the last total solar eclipse, but another one is coming in a few weeks — and with it, a special addition that rarely happens. Some people will get to see the solar eclipse during sunset, giving them an extraordinary view. The only problem is, you may have to jet off on a summer vacation to see it.
The total eclipse will only grace the shores of a few countries. According to NASA, the total eclipse on Aug. 12 will hit Greenland, Iceland, the northern half of Spain and one corner of Portugal. Spain is at the tail end of the eclipse, and as such, it will occur later in the day at around sunset, giving viewers in Spain a spectacular sight.
Other countries in Europe and Africa will also get quite a show. Most of Europe and a sizable portion of northern Africa are still getting a partial solar eclipse, which will happen around sunset. That means tens of millions of people will be in the right place to see a partial or total solar eclipse at sunset.
Russia is the luckiest country this time around. The eclipse starts at sunrise near the uninhabited Taymyr Peninsula, streaks across the world all day, and then Russians on the other side of the country are in the path for the partial solar eclipse at sunset, making Russia the only country that will see the eclipse at both sunrise and sunset.
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How often do sunset eclipses happen?
Sunset eclipses don’t occur very often, at least where people can see them. There are two reasons for this.
The first is that solar eclipses usually only last for a few hours, and the timing for that being right at sunset isn’t terribly common.
The other reason is that solar eclipses have long paths, and sometimes those paths cut through the ocean or places where people don’t live. In the last 15 years, only a handful of total eclipses sit in that Venn diagram of occurring late enough in the day to happen at sunset, while also taking place where humans can see it.
The most recent sunset eclipse in North America was in 2014, but it was only a partial eclipse. South America’s most recent one was in July 2019, where people in Chile and Argentina had the best view of a total solar eclipse happening at sunset, while most of the rest of the country had a partial view. Asia’s most recent was in December 2019.
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In short, this is a once-in-a-decade event for most of the world.
The path of this year’s solar eclipse takes it across the northern portions of Earth before ending in Europe. North Americans won’t see much.
NASA
Will this eclipse be visible in North America?
North America is pretty far from the main action, but a few states are in the path. The math is a little complicated, but if you look at a map of the US and draw a line from Alaska to North Carolina, all the states north of that line will get a little bit of an eclipse (less than 20% coverage), and all the states south of that line are sitting this one out.
Apple is reportedly testing its September 2026 Apple Watch lineup, but the new models are expected to be minor updates while more substantial changes are much further off.
Most recent rumors have claimed that the forthcoming Apple Watch Series 12 will not feature any hardware improvements over its predecessor. Now backing up those reports, Bloombergsays that neither the Apple Watch Series 12 nor the expected Apple Watch Ultra 4 will get visible upgrades to their design.
Instead, the updates will be concentrated on giving the new Apple Watches a significant performance boost through a new processor. There may also be health and fitness tracking improvements, though previous reports have claimed that there won’t be new sensors, so this may be a software update.
The new lineup has the codenames N237 and N238 for the Wi-Fi and cellular versions of the Apple Watch Series 12 while the Apple Watch Ultra 4 is codenamed N240. All three models are said to now be in late-stage testing.
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It’s claimed that these are the only three models due to be launched in September 2026, and specifically that there will not be a new Apple Watch SE released at this time.
There’s no indication of when an upgraded Apple Watch SE may come, but the report says that work is being done on a significant redesign for the regular Apple Watch. That’s not expected to result in a new device for at least a couple of years, however.
Separately, a recurring rumor has claimed again that the 2026 Apple Watch models will feature a new system for attaching bands. It remains as possible yet unlikely, though, as it has for the last several years that the rumor has circulated.
Also, while this new report predicts no noticeable changes to the Apple Watch Ultra, a rumor in May 2026 suggested that there may well be a significant update. Supply chain sources claimed that the Apple Watch Ultra 4 could double its number of sensors over the previous models.
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