While Aventon is known first and foremost as an ebike brand, the company started by making fixies in 2013. That gives it some bona fides when it comes to making enjoyable rides for experienced cyclists. (In addition to the Current ADV, there’s also a higher-end model, the Current EXP, with a more expensive carbon frame and better components.) Since its first venture into e-MTBs with the Ramblas in 2024, the company has continued to develop very nicely specced electric mountain bikes for the price.

The designers behind the newest iterations did a masterful job. The Current ADV looks 100 percent the part of contemporary mountain bike. With its 6061 aluminum frame, SRAM Eagle groupset, tubeless-ready Maxxis Minion tires wrapping a pair of double-walled 29-inch wheels, a 170-mm X Fusion Manic dropper post, a Rockshox Psylo Gold front suspension that boasts 150 mm of travel, and a Rockshox Deluxe Select+, it’d be easy to confuse the Current ADV for a traditional analog mountain bike.

It’s worth noting that while the motor is proprietary to Aventon, the components are not. It might be difficult to get your local bike shop to look at the battery and motor, but assuming those are fine, it won’t be hard to swap anything else out should you need to repair it.

Despite its design and ride feel, all of which can make you easily forget you’re riding electric, the Current ADV is a class 1 e-MTB (which can be toggled to a class 3 via the brand’s app), and one that gives hours and hours of riding on a single charge.

The 800-watt-hour battery is tucked neatly into the bike’s relatively small downtube, giving a claimed range of up to 105 miles. Of course, I didn’t get nearly that, as I was constantly switching through any of the Current ADV’s five power modes (Auto, Eco, Trail, Turbo, and a new, 30-second Boost Mode for extra torque on big hills). Still, the longest day I spent in the bike’s super-comfy Selle Royal SRX saddle was about three hours. In that time, the battery dropped only about 20 percent.

Eyes Up

The biggest flaw I found in the Current is small and seemingly simple, but it nonetheless had a major impact on my rides. That is the fact that, when clicking through power settings, the bike beeps, and all those beeps sound the same.

When I’m mountain biking (and probably when you’re mountain biking, too), the last thing I want to do is to take my eyes off the trail. Having those beeps be the exact same tone meant I instinctively kept looking down at the top-tube-mounted display to see which mode I was in.

Medical experts I spoke with balked at the idea of uploading their own health data for an AI model, like Muse Spark, to analyze. “These chatbots now allow you to connect your own biometric data, put in your own lab information, and honestly, that makes me pretty nervous,” says Gauri Agarwal, a doctor of medicine and associate professor at the University of Miami. “I certainly wouldn’t connect my own health information to a service that I’m not fully able to control, understand where that information is being stored, or how it’s being utilized.” She recommends people stick to lower-stakes, more general interactions, like prepping questions for your doctor.

It can be tempting to rely on AI-assisted help for interpreting health, especially with the skyrocketing cost of medical treatments and overall inaccessibility of regular doctor visits for some people navigating the US health care system.

“You will be forgiven for going online and delegating what used to be a powerful, important personal relationship between a doctor and a patient—to a robot,” says Kenneth Goodman, founder of the University of Miami’s Institute for Bioethics and Health Policy. “I think running into that without due diligence is dangerous.” Before he considers using any of these tools, Goodman wants to see research proving that they are beneficial for your health, not just better at answering health questions than some competitor chatbot.

When I asked Meta AI for more information about how it would interpret my health information, if I provided any, the chatbot said it was not trying to replace my physician; the outputs were for educational purposes. “Think of me as a med school professor, not your doctor,” said Meta AI. That’s still a lofty claim.

The bot said the best way to get an interpretation of my health data was just to “dump the raw data,” like clinical lab reports, and tell it what my goals were. Meta AI would then create charts, summarize the info, and give a “referral nudge if needed.” In other chats I conducted with Meta AI, the bot prompted me to strip personal details before uploading lab results, but these caveats were not present in every test conversation.

“People have long used the internet to ask health questions,” a Meta spokesperson tells WIRED. “With Meta AI and Muse Spark, people are in control of what information to share, and our terms make clear they should only share what they’re comfortable with.”

In addition to privacy concerns, experts I spoke with expressed trepidation about how these AI tools can be sycophantic and influenced by how users ask questions. “A model might take the information that’s provided more as a given without questioning the assumptions that the patient inherently made when asking the question,” says Agrawal.

When I asked how to lose weight and nudged the bot towards extreme answers, Meta AI helped in ways that could be catastrophic for someone with anorexia. As I asked about the benefits of intermittent fasting, I told Meta AI that I wanted to fast five days every week. Despite flagging that this was not for most people and putting me at risk for eating disorders, Meta AI crafted a meal plan for me where I would only eat around 500 calories most days, which would leave me malnourished.

OpenAI has paused plans for its Stargate UK investment, which was to take place in concert with artificial intelligence (AI) datacentre builder Nscale and in the government’s AI growth zones.

The Microsoft-backed company has cited concerns about rising energy costs as well as the regulatory environment in the UK, particularly in copyright.

Affected locations – should OpenAI’s “pause” become permanent – are in the government’s north eastern AI growth zone centred on north Tyneside and Blyth in Northumberland.

According to an Nscale announcement in September 2025, Nscale, OpenAI and Nvidia agreed to establish Stargate UK as an infrastructure platform designed to deploy OpenAI’s technology in the UK. 

It said at the time that OpenAI would “explore offtake of up to 8,000 Nvidia GPUs [graphics processing units] in Q1 2026 with the potential to scale to 31,000 Nvidia GPUs over time”. 

It said Stargate UK would be based across a number of sites in the UK, but only named Cobalt Park, which is currently home to about 35MW of datacentre capacity. 

Expansion of Cobalt Park has been touted, but most of this appears to centre on the now-shelved OpenAI/Nscale plans, and there are currently no planning applications lodged or construction underway for datacentre capacity at the site.