I never really believed self-driving cars would make it to the UK, so you can imagine my surprise when I found myself clambering into one of Wayve’s autonomous vehicles for a journey around north London a few weeks ago.
Technology
I rode in one of the UK’s first self-driving cars
In June, the company announced plans with Uber to begin trialing Level 4 fully autonomous robotaxis in the capital as soon as 2026, part of a government plan to fast-track self-driving pilots ahead of a potential wider rollout in late 2027. Alphabet-owned Waymo, now a staple fixture of US cities like San Francisco, Los Angeles, and Phoenix, also has its eyes on London, announcing plans for its own fully driverless robotaxi service in 2026, one of its first efforts to expand beyond the US.
My skepticism on whether self-driving cars will work in London isn’t unfounded. On many levels, London is a robotaxi’s worst nightmare. At every possible turn, the city is at odds with autonomy. Its road network is narrow, winding, and hellish to navigate, a morass of concrete that emerged over centuries, designed to be used by horses and carts, not cars. Tight streets make avoiding obstacles — potholes, parked cars, you know the drill — even tougher, and this is before we’ve even started to consider the flood of other vehicles, jaywalkers, tourists, cyclists, buses, taxi cabs, and animals (like rogue military horses) sharing the road. And the less said about roundabouts or the weather, the better.
Even if a robotaxi manages to successfully navigate London, it needs Londoners on board with the technology too. This might be tough. We’re a skeptical bunch and when it comes to putting AI in cars; surveys rank Brits among the world’s worst. There’s also been a lot of hype — and failure — surrounding the technology in the past, leaving a legacy of distrust and disbelief entrants must dispel. And there’s the iconic black cabs to contend with, and they’ve been known to drive a hard bargain. When Uber first came on the scene, cabbies repeatedly brought London to a standstill, and the group is still at war with the ridesharing company today. That said, they don’t seem too threatened this time around, dismissing driverless cars as “a fairground ride” and “a tourist attraction in San Francisco.”
Wayve’s headquarters didn’t feel like a San Francisco tourist attraction. The combination of undecorated brick and black metal fencing gives Wayve, which started life in a Cambridge garage in 2017 and is still led by cofounder Alex Kendall, the vibe of a random warehouse. Just 15 minutes away is King’s Cross, a reformed industrial wasteland now home to companies like Google and Meta, which many would consider a more conventional setting for a company that has raised more than $1 billion from titans like Nvidia, Microsoft, and SoftBank (and is reportedly in talks to raise up to $2 billion more).
Its cars — a fleet of Ford Mustang Mach-Es — didn’t look that futuristic either. The only real giveaway that they planned to replace human drivers was a small box of sensors mounted above the windshield, a far cry from the obtrusive humps on top of Waymos.
Inside, it was just as ordinary. As we rolled out of Wayve’s compound, the only thing that really stood out was the big red emergency stop button in the center console, a reminder that, legally speaking, a human driver needs to be ready to seize control at any moment. If it hadn’t been for the shrill buzz going off to indicate the robotaxi had taken over, I don’t think I’d have noticed the driver had given up any control at all.
It handled the city well — far better than I expected. Within minutes, we’d left the quiet side streets near Wayve’s base and joined a busier road. The car eased between parked cars and delivery vehicles, slowed politely when food couriers cut in front of us on electric bikes, and, mercifully, didn’t mow down any of the jaywalkers who treated London’s crossings more like suggestions than rules.
The ride wasn’t exactly smooth, though, and nothing like the ethereal calm I felt when I took my first Waymo in San Francisco this summer. Wayve was more hesitant than I’m used to, a little like when my sister took me out for the first time after earning her license a few years ago.
That hesitancy is especially odd in London. Friends, cabbies, bus drivers, and Uber drivers I’ve ridden with all seem to exude a kind of impatient confidence, a sense of urgency that Wayve utterly lacked. I’ve not driven since I passed my test 15 years ago — the Tube makes it pretty easy to do without in London — but its pauses still managed to test my patience. Our route took us past the high walls of Pentonville Prison in Islington, and we trundled behind a cyclist I was sure even I could safely overtake and any Londoner certainly would have.
I later learned this tentativeness is a feature, not a bug. Unlike Waymo — which uses a combination of detailed maps, rules, sensors, and AI to drive — Wayve employs an end-to-end AI model that lets it drive in a generalizable way. In other words, Wayve drives more like a human and less like a machine. It certainly felt that way; I kept glancing at the safety driver’s hands, half expecting to see them having already retaken control. They never had. Other drivers seemed convinced too. A policeman even raised his hand in thanks as we left him a space to turn into a petrol station, though maybe that was meant for the safety driver.
In theory, this embodied AI approach means you could drop a Wayve car anywhere and it would simply adapt, similar to the way a human driver might when navigating an unfamiliar city. I’m not sure I’m ready to test that myself, but the team said they’d recently been driving out in the Scottish Highlands and came back unscathed.
I later learned the company, which is targeting markets in Japan, Europe, and North America, has been traveling around the world on an AI “roadshow” this year to test its technology in 500 unfamiliar cities. Knowing this, it seems Wayve will have little need to take The Knowledge, a series of exams for London’s black cab drivers to show they have memorized thousands of streets and places, letting them navigate without GPS (it also makes scientists love their brains).
The approach means the technology is also designed to respond to the world more fluidly and react in a more human manner to those unexpected scenarios and edge cases that terrify autonomous carmakers. On my trip, it did just that. Roadworks, learner drivers, groups of cyclists, and London buses, even a person on crutches veering into the street — it handled each capably, albeit more cautiously than a London driver probably would have. The most nerve-wracking moment came when a blind man edged out with his cane between two parked cars — a scene so on the nose I had to ask the company if it had been staged (it hadn’t) — but before I could react, the car had already slowed and shifted course.
By the time we pulled back into Wayve’s compound, I realized I’d stopped wondering who was driving. It was only the repeat of the shrill buzzer that signaled our safety driver was back in control. My brain, it seems, has finally accepted autonomy, at least London’s version of it. It’s rougher around the edges, less sci-fi, more human. And maybe that’s the point.
Technology
Defense secretary Pete Hegseth designates Anthropic a supply chain risk
This week, Anthropic delivered a master class in arrogance and betrayal as well as a textbook case of how not to do business with the United States Government or the Pentagon.
Our position has never wavered and will never waver: the Department of War must have full, unrestricted access to Anthropic’s models for every LAWFUL purpose in defense of the Republic.
Instead, @AnthropicAI and its CEO @DarioAmodei, have chosen duplicity. Cloaked in the sanctimonious rhetoric of “effective altruism,” they have attempted to strong-arm the United States military into submission – a cowardly act of corporate virtue-signaling that places Silicon Valley ideology above American lives.
The Terms of Service of Anthropic’s defective altruism will never outweigh the safety, the readiness, or the lives of American troops on the battlefield.
Their true objective is unmistakable: to seize veto power over the operational decisions of the United States military. That is unacceptable.
As President Trump stated on Truth Social, the Commander-in-Chief and the American people alone will determine the destiny of our armed forces, not unelected tech executives.
Anthropic’s stance is fundamentally incompatible with American principles. Their relationship with the United States Armed Forces and the Federal Government has therefore been permanently altered.
In conjunction with the President’s directive for the Federal Government to cease all use of Anthropic’s technology, I am directing the Department of War to designate Anthropic a Supply-Chain Risk to National Security. Effective immediately, no contractor, supplier, or partner that does business with the United States military may conduct any commercial activity with Anthropic. Anthropic will continue to provide the Department of War its services for a period of no more than six months to allow for a seamless transition to a better and more patriotic service.
America’s warfighters will never be held hostage by the ideological whims of Big Tech. This decision is final.
Technology
What Trump’s ‘ratepayer protection pledge’ means for you
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When you open a chatbot, stream a show or back up photos to the cloud, you are tapping into a vast network of data centers. These facilities power artificial intelligence, search engines and online services we use every day. Now there is a growing debate over who should pay for the electricity those data centers consume.
During President Trump’s State of the Union address this week, he introduced a new initiative called the “ratepayer protection pledge” to shift AI-driven electricity costs away from consumers. The core idea is simple.
Tech companies that run energy-intensive AI data centers should cover the cost of the extra electricity they require rather than passing those costs on to everyday customers through higher utility rates.
It sounds simple. The hard part is what happens next.
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At the State of the Union address Feb. 24, 2026, President Trump unveiled the “ratepayer protection pledge” aimed at shielding consumers from rising electricity costs tied to AI data centers. (Nathan Posner/Anadolu via Getty Images)
Why AI is driving a surge in electricity demand
AI systems require enormous computing power. That computing power requires enormous electricity. Today’s data centers can consume as much power as a small city. As AI tools expand across business, healthcare, finance and consumer apps, energy demand has risen sharply in certain regions.
Utilities have warned that the current grid in many parts of the country was not built for this level of concentrated demand. Upgrading substations, transmission lines and generation capacity costs money. Traditionally, those costs can influence rates paid by homes and small businesses. That is where the pledge comes in.
What the ratepayer protection pledge is designed to do
Under the ratepayer protection pledge, large technology companies would:
- Cover the full cost of additional electricity tied to their data centers
- Build their own on-site power generation to reduce strain on the public grid
Supporters say this approach separates residential energy costs from large-scale AI expansion. In other words, your household bill should not rise simply because a new AI data center opens nearby. So far, Anthropic is the clearest public backer. CyberGuy reached out to Anthropic for a comment on its role in the pledge. A company spokesperson referred us to a tweet from Anthropic Head of External Affairs Sarah Heck.
“American families shouldn’t pick up the tab for AI,” Heck wrote in a post on X. “In support of the White House ratepayer protection pledge, Anthropic has committed to covering 100% of electricity price increases that consumers face from our data centers.”
That makes Anthropic one of the first major AI companies to publicly state it will absorb consumer electricity price increases tied to its data center operations. Other major firms may be close behind. The White House reportedly plans to host Microsoft, Meta and Anthropic in early March to discuss formalizing a broader deal, though attendance and final terms have not been confirmed publicly.
Microsoft also expressed support for the initiative.
“The ratepayer protection pledge is an important step,” Brad Smith, Microsoft vice chair and president, said in a statement to CyberGuy. “We appreciate the administration’s work to ensure that data centers don’t contribute to higher electricity prices for consumers.”
Industry groups also point to companies such as Google and utilities including Duke Energy and Georgia Power as making consumer-focused commitments tied to data center growth. However, enforcement mechanisms and long-term regulatory details remain unclear.
CHINA VS SPACEX IN RACE FOR SPACE AI DATA CENTERS
The White House plans talks with Microsoft, Meta and Anthropic about shifting AI energy costs away from consumers. (Eli Hiller/For The Washington Post via Getty Images)
How this could change the economics of AI
AI infrastructure is already one of the most expensive technology buildouts in history. Companies are investing billions in chips, servers and real estate. If firms must also finance dedicated power plants or pay premium rates for grid upgrades, the cost of running AI systems increases further. That could lead to:
- Slower expansion in some markets
- Greater investment in renewable energy and storage
- More partnerships between tech firms and utilities
Energy strategy may become just as important as computing strategy. For consumers, this shift signals that electricity is now a central part of the AI conversation. AI is no longer only about software. It is also about infrastructure.
The bigger consumer tech picture
AI is becoming embedded in smartphones, search engines, office software and home devices. As adoption grows, so does the hidden infrastructure supporting it. Energy is now part of the conversation around everyday technology. Every AI-generated image, voice command or cloud backup depends on a power-hungry network of servers.
By asking companies to account more directly for their electricity use, policymakers are acknowledging a new reality. The digital world runs on very physical resources. For you, that shift could mean more transparency. It also raises new questions about sustainability, local impact and long-term costs.
ARTIFICIAL INTELLIGENCE HELPS FUEL NEW ENERGY SOURCES
As AI expansion strains the grid, a new proposal would require tech firms to fund their own power needs. (Sameer Al-Doumy/AFP via Getty Images)
What this means for you
If you are a homeowner or renter, the practical question is simple. Will this protect my electric bill? In theory, separating data center energy costs from residential rates could reduce the risk of price spikes tied to AI growth. If companies fund their own generation or grid upgrades, utilities may have less reason to spread those costs among all customers.
That said, utility pricing is complex. It depends on state regulators, long-term planning and local energy markets.
Here is what you can watch for in your area:
- New data center construction announcements
- Utility filings that mention large commercial load growth
- Public service commission decisions on rate adjustments
Even if you rarely use AI tools, your community could feel the effects of a nearby data center. The pledge is intended to keep those large-scale power demands from showing up in your monthly bill.
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Kurt’s key takeaways
The ratepayer protection pledge highlights an important turning point. AI is no longer only about innovation and speed. It is also about energy and accountability. If tech companies truly absorb the cost of their expanding power needs, households may avoid some of the financial strain tied to rapid AI growth. If not, utility bills could become an unexpected front line in the AI era.
As AI tools become part of daily life, how much extra power are you willing to support to keep them running? Let us know by writing to us at Cyberguy.com.
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Technology
Here’s your first look at Kratos in Amazon’s God of War show
Amazon has slowly been teasing out casting details for its live-action adaptation of God of War, and now we have our first look at the show. It’s a single image but a notable one showing protagonist Kratos and his son Atreus. The characters are played by Ryan Hurst and Callum Vinson, respectively, and they look relatively close to their video game counterparts.
There aren’t a lot of other details about the show just yet, but this is Amazon’s official description:
The God of War series storyline follows father and son Kratos and Atreus as they embark on a journey to spread the ashes of their wife and mother, Faye. Through their adventures, Kratos tries to teach his son to be a better god, while Atreus tries to teach his father how to be a better human.
That sounds a lot like the recent soft reboot of the franchise, which started with 2018’s God of War and continued through Ragnarök in 2022. For the Amazon series, Ronald D. Moore, best-known for his work on For All Mankind and Battlestar Galactica, will serve as showrunner. The rest of the cast includes: Mandy Patinkin (Odin), Ed Skrein (Baldur), Max Parker (Heimdall), Ólafur Darri Ólafsson (Thor), Teresa Palmer (Sif), Alastair Duncan (Mimir), Jeff Gulka (Sindri), and Danny Woodburn (Brok).
While production is underway on the God of War series, there’s no word on when it might start streaming.
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