Do you use your vehicle’s app to pre‑cool the cabin on a scorching day, confirm the doors are locked from bed, or have the car automatically call for help when the airbags go off?

Savor those connected, cloud‑based conveniences while you can—the clock is already ticking on their obsolescence. In a few short years, you may be driving today’s vehicle without many of the features you currently enjoy.

How we got hooked on the cloud

"Connected services"—cloud-based and networked features that let a vehicle communicate with external systems to deliver apps, data, and remote functions to drivers and passengers—have been around since the 1990s, when GM introduced OnStar as an option. Those early systems were mostly voice‑centric, but they still depended on centralized back‑end systems. Modern versions, which are fully data-driven and cloud-hosted, use much more sophisticated over-the-air data links to allow a considerably better feature set.

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Formula 1 returned to the Spa-Francorchamps circuit for the Belgium Grand Prix this weekend. This ribbon of tarmac in the Ardennes is one of the sport's historic venues, featuring in the first F1 season way back in 1950. But as yesterday's race showed, the current F1 machinery is utterly ill-suited to this dramatic venue.

As we saw at Suzuka in Japan earlier this year, a 2026 F1 battery is able to power the race car's electric motor for only a few seconds a lap; for much of the rest of the lap, the energy-starved cars have less power going to their rear wheels than in the junior F2 feeder series.

The best race track in the world

For many, including much of the current F1 grid, Spa is considered perhaps the planet's greatest race track. In fact, both Spa and the Belgian Grand Prix predate the F1 world championship, with its first race held in 1922. Back then, the circuit was a 9-mile loop of public roads, taking in the towns of Malmedy and Stavelot before returning to Francorchamps. In the postwar years, the layout shrank slightly to 8.7 miles (14.1 km) and was ferociously fast, with average lap speeds of up to 150 mph (240 km/h)—and ferociously dangerous, given cars with huge amounts of power and minimal concessions to safety.

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When Lucid introduced the Air electric sedan in late 2021, the first Air Dream Edition I tested packed over 1,100 hp (820 kW) and carried a $180,000-plus window sticker. It's easily the most powerful street car I've tested; the only vehicle I've driven with more power was a purebred race car with a third the mass, and it was on a proper track. Its combustion engine was also about 1,000 times louder than the Air, helping to remind us that "combustion" really does mean explosion after explosion.

For Lucid's second act, the company debuted the Gravity electric SUV last year, and I've just tested the 2026 Gravity Touring, which starts at about $82,000 in the US, including the required destination charge.

My test model carried a bevy of options, including a 22-speaker audio system, the Comfort and Convenience package, third-row seating, a Dynamic Handling package (combining rear-wheel steering and three-chamber air suspension), a luxury seating package (bundling Nappa leather and massaging and ventilated front seats), and special metallic paint.

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SpaceX has pinned the bulk of its future value on orbital data centers. Not rockets. Not spacecraft.

Instead, it envisions launching and maintaining a constellation of 1 million satellites capable of generating 120 GW to power tens of millions—and potentially up to 100 million—frontier-class GPUs for data center services.

The company's founder, Elon Musk, revealed plans for this massive constellation months ago, but until recently, the scope of the individual satellites was largely unknown. That changed in June, when Musk and Ian Dahl, director of satellite engineering for SpaceX, spoke in a promotional video about the company's plans to develop the first iteration of an orbital data center, called an AI1 satellite. The video finally provided the company's numbers about the satellite's size and power capabilities.

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Over the past few years, many of us have gotten a crash course in what we now call artificial intelligence—but really, it has mostly been a crash course in large language models. Increasingly, however, LLMs are no longer the only category of AI drawing high expectations, massive funding rounds, and significant research and product development.

Over the past year, we've seen a plethora of new announcements in a category labeled "world models," and you'll likely see more movement there in the coming months and years.

Instead of or in addition to working with language, world models aim to lay the groundwork for AI systems that are capable of simulating the physical world, or at least a useful approximation of it.

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Anyone who has followed the aftermarket automotive performance industry for long enough can tell you just how dramatically it has changed over the past few decades. What once required mechanical tinkering and a lot of know-how can now be done in mere minutes via an electric control unit (ECU), which can extract significant boosts in horsepower and torque from naturally aspirated, turbocharged, or supercharged engines.

In some ways, though, the process has become much more difficult.

Just ask Alabama-based Audi Performance & Racing, more prominently known as APR. As modern vehicles become increasingly software-driven and OEMs continue to tighten security, the company has had to work harder each year to offer ECU tuning that delivers more power while staying within factory parameters for overall reliability. It's a far more arduous process now than it was in the early aughts, when my own B5-generation Audi S4 was still fresh on the market.

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It wasn't easy to find anyone outside of SpaceX clamoring for a rocket like Starship just 10 years ago. Today, the space industry can't wait for Starship to finally deliver.

With a payload capacity of more than 100 metric tons (220,000 pounds) to low-Earth orbit, SpaceX's new rocket is changing the thinking of just about everyone in the space industry. With the unrealized but potentially game-changing benefits of refueling, Starship could carry the same amount of payload to higher orbits, the Moon, or Mars.

It's important to note that Starship is still very much in its experimental phase, far from proving Elon Musk's loftiest claims about what it can do. Still, NASA and the US military are considering novel ways to use Starship to fly to the Moon or transport cargo to far-flung war zones. Scientists are eager to use its enormous volume to launch giant space telescopes. Competitors are taking notice. China, the strongest strategic adversary America has ever faced, is looking for its own Starship. Now, some US satellite manufacturers are adapting for the substantial capacity of the world's most powerful rocket.

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In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones autonomously fly through the skies to drop off orders at customers’ homes, the idea of general-purpose robots helping humans with various tasks in workplaces or even homes may not seem far-fetched.

But that future hinges on developing increasingly autonomous robots powered by modern artificial intelligence—an ambitious vision that has motivated many researchers to become startup founders while also attracting billions of dollars in investment.

“When I started maybe about 15 years ago, I led a project team that was focused on autonomy, but in that era, the goal of that team was to just get a robot to navigate from point A to point B,” said Matt Malchano, vice president of software at the robotics company Boston Dynamics based in Waltham, Massachusetts. “And now, when we think of autonomy, we think of this huge space of tasks and things that we can imagine a robot doing on its own.”

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In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are inherently unable to distinguish between legitimate instructions provided by users and malicious ones sneaked into emails, source code, and other third-party content the models are processing. This makes it trivial to surreptitiously inject malicious commands that the LLM readily follows.

With no way to enforce this crucial boundary between trusted and untrusted sources, AI engine developers are left to erect elaborate guardrails designed to mitigate the damage rather than solve the root cause.

To date, most prompt injections have fallen into a class known as push, in which each potential victim is targeted. For example, the adversary injects malicious instructions into an individual email or calendar invitation. Because the injection must then be sent (or pushed) to each specific target, the scale of the attack is limited, hampering mass exploits that hit the Internet at large.

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In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones autonomously fly through the skies to drop off orders at customers’ homes, the idea of general-purpose robots helping humans with various tasks in workplaces or even homes may not seem far-fetched.

But that future hinges on developing increasingly autonomous robots powered by modern artificial intelligence—an ambitious vision that has motivated many researchers to become startup founders while also attracting billions of dollars in investment.

“When I started maybe about 15 years ago, I led a project team that was focused on autonomy, but in that era, the goal of that team was to just get a robot to navigate from point A to point B,” said Matt Malchano, vice president of software at the robotics company Boston Dynamics based in Waltham, Massachusetts. “And now, when we think of autonomy, we think of this huge space of tasks and things that we can imagine a robot doing on its own.”

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The temptation with a car like the Czinger 21C is to treat it as a collection of extreme specifications, and to be fair, it’s certainly not lacking in that department.

At its most basic level, the carbon-fiber-bodied 21C is a hybrid hypercar built around a bespoke 2.88-liter twin-turbocharged flat-plane crank V8 that revs to a searing 11,000 rpm. This power plant is matched up with a three-motor electric system—one electric motor drives each front wheel while a third serves as a crank-driven starter-generator. Combined output is rated at 1,250 hp (932 kW) and 691 lb-ft (937 Nm) of torque.

A seven-speed automated manual transaxle handles gear changes, chosen in part for its low mass and ability to tolerate high torque loads without the packaging penalties of a dual-clutch system. Tipping the scales at under 3,700 lbs (1,678 kg) with fluids, the 21C VMax is capable of hitting 60 mph (97 km/h) from rest in 1.92 seconds on its way to an 8.6 second quarter mile and a 253 mph (378 km/h) top speed, while the road course-focused 21C High Downforce model recently secured lap records at no less than five different California racetracks during a thousand-mile (1,600 km) road trip.

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The last time America celebrated a big anniversary, I was all of three years old. Even so, I retain a few fuzzy memories from a sunny summer afternoon in small-town Michigan: climbing on a cannon in front of the courthouse, watching a parade, and seeing my dad, a veteran and Centreville city councilman, giving a short talk about democracy.

Only later would I realize the significance of the date: July 4th, 1976, America’s bicentennial.

America was imperfect and inconsistent in its approaches to "freedom," but the country had done some big, difficult things in recent decades. We had led the charge to roll back the tide of fascism and Holocaust during World War II. We had begun to confront internal demons through the nonviolent activism of the civil rights movement. And, critically for my own life trajectory, we had landed on the Moon.

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Near the end of May, the Office of Management and Budget (OMB) proposed a new rule that would govern how the federal government handles the grants it issues, including those that fund the vast majority of scientific research in the US.

If formalized, the rule would make political priorities the prime determinant of what science gets funded and sideline the opinions of scientific experts. Grants could be canceled due to political whims, and new layers of bureaucracy would inhibit basic scientific activities like publishing papers and attending conferences. Unlike the executive orders it echoes, it would have the force of law behind it and be significantly harder to challenge in court.

Before coming into force, however, the proposal must go through a process that includes public feedback and (potentially) changes in response. The deadline for that feedback—Monday, July 13—is rapidly approaching.

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President Donald Trump’s plan to “fill the digital potholes” and use AI to quickly redesign every government website isn’t going very well.

Last August, Trump created the National Design Studio, or NDS, by executive order. A temporary DOGE-like entity that answers only to the president, NDS was tasked with creating new standards to update the US Web Design System (USWDS) and overhaul 27,000 dot-gov websites in just three years. At the end of this so-called “America by Design” initiative, the government’s “design language” would supposedly be more usable and beautiful, Trump expected.

However, that monumental task—assigned to a small team under a short timeframe—was seemingly made harder by DOGE's deep cuts to agencies previously responsible for improving government websites, including dismantling the 18F technology unit and restructuring the US Digital Service into DOGE.

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