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BMW iX3 first drive: a ‘New Class’ is in session

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BMW iX3 first drive: a ‘New Class’ is in session

BMW has been peppering us with teasers and bits and pieces about its next-gen EV platform, Neue Klasse, for so long — fully two years now — that I confess I’ve become a bit numb to the hype. I’d seen the dashboard-filling displays, talked to engineers endlessly about the completely retooled active safety suite, and even got a go behind the wheel of a prototype machine.

All this for the launch of a crossover SUV, typically the most milquetoast of all the automotive classifications. But after spending the better part of a day wheeling around the final version of the iX3, I’m surprised to say it was all worth it. This little(ish) SUV really is a game changer on multiple fronts, a major step forward for BMW’s electric efforts, and a machine that might even be good enough to beat the EV sales slump.

For carmakers, platforms are key. They’re the core elements that allow relatively quick and inexpensive development of multiple new models without having to completely reinvent core elements like chassis, engines, suspension, and software. Neue Klasse (German for “New Class”) is BMW’s latest and greatest new platform, intended to form the foundation of a series of EVs to come.

The iX3 is the first of those, a compact SUV that’s more or less the same size as BMW’s existing X3, offering similar amounts of cargo and space for five passengers. This new platform tucks the battery down low and pushes its two motors to the front and rear. None of that is novel in the EV space, but most of BMW’s previous EVs have relied on platforms designed for internal combustion. This one’s optimized for EVs from the beginning.

There’s a 108.7kWh usable battery pack in there, powering the pair of motors that, combined, offer 463 horsepower and 476 pound-feet of torque through all four wheels. Maximum range will be around 400 miles (EPA testing has not yet been completed), 40-odd more than Tesla’s longest-range Model Y.

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BMW’s engineers told me that the iX3’s new electrical architecture is really the key, including more efficient motors and silicon-carbide inverters. It charges faster, too, at up to 400kW if you can find a plug backed by enough juice. That’ll be a NACS plug, by the way, as this will be BMW’s first to support the Tesla-style connector.

A quick glance in the cabin of the iX3 reveals the SUV’s biggest tech upgrade: the pillar-to-pillar Panoramic Vision display. Think of it like an ultra-widescreen heads-up display that acts as a gauge cluster on the left, but has six customizable sections in the middle and the right where you can display anything from efficiency information to whatever’s playing on Spotify.

Enough never being enough, the iX3 also has an actual 3D heads-up display that projects above the Panoramic Vision, plus a 17.9-inch, 3,340 x 1,440 rhomboid-shaped touchscreen for good measure. It’s display overload and a little overwhelming the first time you get in the car, but I found it to be seamless enough to not be a distraction. If it all seems like a bit too much for you, it’s easy enough to disable the more expansive or attention-grabbing display sections.

The in-car experience is paired with an upgraded My BMW app that not only lets you remotely park the car from outside and get a 3D view of the inside or outside of the car; you can even queue up playlists on your phone or give your passengers control to do the same from their own devices.

To experience the more important tech upgrades, though, you need to be behind the wheel.

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Taking back control from many of today’s more advanced active safety systems in cars can sometimes feel like wrestling. Often, a firm yank of the wheel is required to override a lane-centering system, which can result in a disconcertingly jerky experience for your passengers.

The iX3, on the other hand, is designed to be totally seamless. If you have BMW’s Highway Assistant enabled, it’ll steer itself in most situations on the highway, but you can just reach up and grab the wheel whenever you like. There’s no resistance to overcome, and if you let go the car just takes over again.

Even if you want to change lanes the car can help you there. When prompted, glance in the mirror and the car will change lanes on its own. Or, if you grab the wheel and change lanes yourself, the car will apply the turn signal for you automatically.

BMW’s system will also stay enabled if you hit the brake pedal. You can come to a complete stop if you like, then release the brake and the car will smoothly bring itself back up to speed. The system stays engaged until you turn it off — or hit the brakes more aggressively — working with you instead of against you.

This new safety system feels a bit odd at first. It took me some time to figure out when it was on and when it was off. But, after a few minutes on the highway, I got into the groove of things. It really did feel more like working collaboratively with the car instead of having its systems constantly turning on and off. The hands-off system worked extremely well, too, cleanly moving through traffic.

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It wasn’t until I hit some secondary country roads that I could get a feel for just how good the iX3 was to drive, though. That dual-motor setup means full-time all-wheel drive, but the power split between those two motors changes depending on what drive mode you’re in. The car feels safe and secure in Personal, the regular drive mode. Drive it as aggressively as you want and it just has a calm, predictable nature that makes it easy to keep pointed in the right direction without too much input from the driver.

To experience the more important tech upgrades, you need to be behind the wheel

Switch over to Sport, though, and the tail kicks out just a bit under hard acceleration, making the iX3 feel like a traditional, rear-driven BMW. This isn’t a rocket ship, but it is quick and the suspension strikes a great balance between predictable, comfortable handling and sporty response. Even the steering feels sharp and has respectable feedback, just like BMWs of old.

In a lot of ways, this wholly new package feels like a return to form, a new SUV that has engaging driving and safety at its core but blends in enough luxury and refinement to keep its premium cachet. But it isn’t a sure-fire success. For one thing, there’s the look. BMW has been pushing boundaries with many of its latest designs, and the iX3 certainly has an edgy style. After initially hating it, I have to admit that after a day behind the wheel I quickly warmed up to the iX3’s appearance, particularly when viewed from the rear.

Even if you like the SUV’s style, there’s still the question of cost. BMW hasn’t set formal pricing for the 2026 BMW iX3 yet, only that it will start around $60,000. That puts it at least $10,000 more than a base, gas-powered X3 SUV. With federal EV incentives no longer at play, that delta could be a difficult one for many shoppers to stomach.

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But, despite sharing most of a name, these two SUVs feel worlds apart. With enough range and fast enough charging to obliterate range anxiety, plus with an abundance of volume, handling, and comfort, the EV is the obvious play for those with room in their budget.

Photography by Tim Stevens

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Xbox is now XBOX

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Xbox is now XBOX

Xbox just allcapsmaxxed: Meet XBOX. This isn’t a joke; Microsoft appears to be actually rebranding Xbox to XBOX. Asha Sharma, Xbox CEO, ran a poll on X earlier this week, asking fans whether Microsoft should use Xbox or XBOX. The results were in favor of XBOX, and the company has now renamed its X account.

Curiously, the Threads and Bluesky accounts for Xbox haven’t been renamed yet, but if Microsoft is going ahead with a rebranding then I expect those will change soon. I asked Microsoft to comment on this potential Xbox rebranding and the company simply referred me to Sharma’s post.

The use of all caps for Xbox is a return to original form, though. Microsoft’s first Xbox logo for its console was all caps, and the company has favored using similar capped versions for the Xbox 360, Xbox One, and Xbox Series X / S console logos.

The apparent rebranding comes just a few weeks after Sharma scrapped Microsoft Gaming and renamed Microsoft’s gaming division back to Xbox. It’s part of Sharma’s continued promise of a “return of Xbox,” which has involved fan-focused console updates, a new Xbox logo, Game Pass pricing changes, and lots more in recent weeks.

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AI data centers may soon ride ocean waves

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AI data centers may soon ride ocean waves

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Artificial intelligence (AI) already shows up in your phone, your searches and plenty of apps you use every day. Now, some Silicon Valley investors are betting the machines behind those AI answers could one day run at sea.

A company called Panthalassa has raised $140 million in new funding to develop and deploy autonomous, floating AI computing nodes powered by ocean waves. The Series B round brings Panthalassa’s total funding to $210 million, a sign that investors are taking this ocean-based AI idea seriously. The round was led by Peter Thiel, the Palantir co-founder, and the company says the money will help complete a pilot manufacturing facility near Portland, Oregon. Panthalassa also plans to deploy its Ocean-3 pilot node series in the northern Pacific Ocean later in 2026.

Instead of building another giant AI data center on land, Panthalassa wants to place computing power out at sea. Ocean waves would generate electricity. Seawater would help with cooling. Onboard computing systems would process AI prompts and send the results back to land through low-Earth-orbit satellites.

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Panthalassa’s Ocean-2 prototype rides in open water during testing, giving a real-world look at the kind of floating wave-energy system behind the company’s ocean AI plan. (Panthalassa)

How AI data centers at sea could work

Panthalassa’s floating nodes are designed to capture wave motion and turn it into electricity. The company says it has spent a decade developing the technology behind its power generation, onboard computing and autonomous ocean operations. Its earlier Ocean-1, Ocean-2 and Wavehopper prototypes were tested in 2021 and 2024. Think of each node like a floating power station with AI hardware inside. Waves move the system. That motion helps drive a generator. The power then feeds the onboard chips.

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The company’s plan is to use those chips for AI inference. That is the part of AI where a model responds to your prompt after it has already been trained. In simple terms, it is what happens when you ask a chatbot a question and get an answer back. That makes the ocean plan a little easier to understand. Training massive AI models requires huge data movement and tight coordination. Answering prompts may be more realistic for a floating node, at least in some situations.

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Why AI data centers are moving offshore

AI data centers need huge amounts of electricity. They also need space, cooling systems and local support from communities that may not want a massive facility nearby. Those problems have pushed companies to look for unusual answers. Ocean-based computing is one of them.

Panthalassa says its nodes would operate far from shore in wave-rich parts of the ocean. The goal is to use that wave energy directly onboard instead of sending the power back to land. “We’ve built a technology platform that operates in the planet’s most energy-dense wave regions, far from shore, and turns that resource into reliable clean power,” said Garth Sheldon-Coulson, Panthalassa’s co-founder and CEO.

A SUPERCOMPUTER CHIP GOING TO SPACE COULD CHANGE LIFE ON EARTH

The ocean also offers cold surrounding water. That could help cool the chips onboard. Cooling is a major issue because data centers produce a lot of heat. Panthalassa is taking a different path from traditional land-based data centers. Instead of pulling more power from the grid, it wants floating nodes that generate their own electricity from waves.

A SUPERCOMPUTER CHIP GOING TO SPACE COULD CHANGE LIFE ON EARTH

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The Ocean-2 prototype sits inside a coastal facility, showing the size and shape of Panthalassa’s floating node before deployment at sea. (Panthalassa)

The satellite problem for ocean AI data centers

The ocean may help with power and cooling, but it creates another problem: connection. Traditional data centers rely on high-capacity fiber-optic connections because they need to move huge amounts of data fast. A floating node far out at sea may depend on low-Earth-orbit satellite links. That can work for some AI responses, but it may be slower and more limited than fiber.

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The challenge grows when multiple nodes need to work together. AI systems often depend on fast communication between chips, servers and storage. If those parts are floating in the ocean and talking by satellite, coordination gets harder. That means AI data centers at sea may not replace land-based data centers anytime soon. They may be better suited for certain AI tasks where the model can live onboard, and the response does not require constant back-and-forth with other machines.

Repairing floating AI nodes could be difficult

There is another practical question: What happens when something breaks? A land-based data center can send in technicians. A floating AI node in rough seas may need a ship, special equipment and the right weather window. That adds cost and delay.

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Panthalassa says it is developing autonomous systems meant for harsh ocean conditions. Its press release says Ocean-3 testing is meant to demonstrate AI inference and refine manufacturing before commercial deployments in 2027. Still, the ocean is brutal. Saltwater eats away at equipment. Storms can turn a routine repair into a major operation. Constant motion also puts stress on the hardware. For this plan to work, Panthalassa will have to show that each node can keep running for years in harsh ocean conditions without frequent human repairs.

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Panthalassa’s Ocean-2 prototype is transported by barge, a reminder that building AI infrastructure at sea also means solving major deployment and maintenance challenges. (Panthalassa)

Ocean data centers have been tested before

Ocean data centers are not new. Microsoft experimented with underwater data center servers through Project Natick, including tests in 2015 and 2018. Those tests showed that sealed underwater servers could run reliably while using seawater for cooling, with Microsoft reporting a lower failure rate than comparable land-based systems. Microsoft later ended the project.

Chinese companies have also reportedly pushed ahead with underwater data center projects near Hainan and Shanghai. Keppel has explored floating data center designs in Singapore, where land constraints make the concept especially attractive. Panthalassa’s plan goes in a different direction. It combines wave power with onboard AI chips and satellite-based results. It also depends on floating nodes that would need to operate far from the kind of support a normal data center gets. That is why the idea is getting attention. It is also why skepticism is fair.

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What AI data centers at sea mean for you

For now, this will not change how your phone or computer works. You will not suddenly see a “powered by ocean waves” label on your favorite AI app. But the bigger picture affects everyone. AI needs an incredible amount of electricity. As more companies add AI tools to their products, they need more places to run those systems. That pressure can affect energy grids, water use, local battles over new data centers and even your utility bills over time.

Panthalassa argues its approach could reduce the need for new data centers and power plants on land. That could ease pressure on local communities and the grid, but the company still has to prove the system can work reliably at sea. If ocean-based AI moves beyond testing, it could also raise fresh questions about marine maintenance, environmental oversight and who controls computing infrastructure in international waters.

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Kurt’s key takeaways

Everyone is using AI on their phones and computers these days, but the heavy lifting often happens in huge data centers behind the scenes. That is why Panthalassa’s ocean plan is getting attention. The company wants to use waves for power and seawater for cooling. The hard part is proving that floating AI nodes can survive rough seas, limited satellite links and complicated maintenance. If Panthalassa can pull it off, ocean-based AI could become part of the tech we use every day. If it cannot, it may show just how difficult it is to keep feeding AI’s growing demand for power.

If this kind of ocean-powered AI takes off, would you worry about what these floating nodes could mean for our oceans? Let us know by writing to us at Cyberguy.com

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OpenAI keeps shuffling its executives in bid to win AI agent battle

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OpenAI keeps shuffling its executives in bid to win AI agent battle

OpenAI announced yet another reorganization Friday, consolidating certain areas and making company president Greg Brockman the official lead of all things product.

In a memo viewed by The Verge, Brockman wrote that since OpenAI’s product strategy for this year is to go all-in on AI agents, the company is combining its products to “invest in a single agentic platform and to merge ChatGPT and Codex into one unified agentic experience for all.”

To do this, the company is making a suite of org chart changes, although it’s still operating under some of the same ones from last month. That’s when AGI boss Fidji Simo went on medical leave and OpenAI announced that Brockman would be in charge of product strategy and CSO Jason Kwon, CFO Sarah Friar, and CRO Denise Dresser would take control of business operations.

It’s all part of OpenAI’s recent strategic shift to focus on key revenue drivers like coding and enterprise and stop pouring resources into “side quests” ahead of its potential IPO later this year and amid investor pressure to turn a profit.

In Simo’s continued absence, Brockman’s role leading product strategy is now official, as well as the company’s “scaling” arm. Under Brockman will be four different pillars. The first is core product and platform, led by Thibault Sottiaux, who has been OpenAI’s engineering lead for Codex, and the second is critical enterprise industries, led by ChatGPT head Nick Turley. Third is the consumer pillar, such as health, commerce, and personal finance, which will be led by Ashley Alexander, who has been its healthcare products VP. The fourth pillar — core infrastructure, ads, data science, and growth — will be led by Vijaye Raji, who has been OpenAI’s CTO of applications.

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Brockman wrote in the memo that OpenAI’s goal is now to “bring agents to ChatGPT scale, in order to give individuals and organizations significantly more value and utility from our products.”

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