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Robotaxi drives off from airport with passenger's suitcase

Mon, 11 May 2026 14:00:40 -0400

Taking a driverless robotaxi to the airport still feels a bit scary for many people. Riders get into the vehicle and may find themselves intently watching the steering wheel move on its own, hoping with every turn that the trip goes as smoothly as the company promises. But for one California passenger, the ride ended with a very real travel nightmare.

Di Jin reportedly took his first Waymo ride from Sunnyvale, California, to San José Mineta International Airport for a business trip.

The ride itself seemed to go smoothly. Then he got to the airport and tried to grab his suitcase from the trunk. That is when things went sideways.

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WHY LAST YEAR'S BREACH IS THIS YEAR'S IDENTITY FRAUD

Waymo drove off with his suitcase at the airport drop-off

Jin told reporters that he got out of the Waymo at the airport and tried to open the trunk. He said he pressed the trunk button, but nothing happened. Then, he said, the driverless car pulled away with his suitcase still inside. That left him standing at the airport without his bag, his change of clothes or his work notes.

For anyone who travels for work, that is the kind of moment that makes your stomach drop. You are watching your ride disappear, but there is no driver to flag down. There is no person at the wheel to hear you. There is only the app, the support line and a car that may already be heading somewhere else.

What Waymo reportedly told the passenger

Jin said he called Waymo customer service right away. According to reports on the incident, he was told the vehicle was already on its way to a depot and could not be turned around. Later, Waymo reportedly emailed him to say his luggage had been safely secured at a Waymo depot.

That solved one part of the problem. The suitcase was found. But getting it back became another headache. Waymo is said to have initially offered to send the luggage to him, but would not cover shipping or courier fees. The company also reportedly offered him two free rides so he could go to and from the depot himself.

Jin pushed back. He said the situation was not his mistake. Waymo eventually agreed to cover the shipping cost, and Jin accepted that solution.

Waymo's response to the suitcase incident

Waymo did not comment on the specific incident when contacted by CyberGuy. However, Waymo's own help pages explain how the trunk is supposed to work. The company says riders can open the trunk by pressing the trunk release button above the license plate or by tapping "Open trunk" in the app. Waymo also says that at the rider's destination, the trunk will automatically open when the rider exits the vehicle. Waymo also notes that the trunk may not open if a rider exits before the vehicle has officially pulled over and ended the trip.

Waymo's lost and found page also says its support team will try to reunite riders with items left in a vehicle. Although the company says it cannot guarantee that items will be found, delivered immediately or returned undamaged. Waymo also says it isn’t responsible for items left behind after a trip ends and does not provide reimbursement for the value of lost items.

That policy is exactly why this story is getting attention. Jin's issue was not simply that he forgot a bag. His claim is that he tried to retrieve it and could not get the trunk open before the vehicle left.

Why the Waymo suitcase story hits a nerve

Airport trips already come with enough stress. You are watching the clock. You are thinking about security lines, boarding time and whether you packed your charger. Now add a driverless car that leaves with your suitcase. The technology may be advanced, but the problem is incredibly ordinary. A passenger needed his bag, the trunk did not open as expected, and customer support became the only option.

With a human driver, you might knock on the trunk, wave or ask them to wait. With a robotaxi, the whole experience depends on software, sensors, app controls and remote support. Most riders may never have a problem. Still, when something does go wrong at an airport, a small glitch can turn into a major travel mess.

Waymo airport rides are becoming more common

Waymo has been expanding its airport service, and San José Mineta International Airport became a key part of that push in November 2025, when SJC announced it was the first commercial, international airport in California to offer fully autonomous ride-hailing to travelers.

Waymo has also described airport service as a major step for its ride-hailing business. Waymo’s website lists several current and upcoming service areas, including the San Francisco Bay Area, Los Angeles, Phoenix, San Antonio, Austin and other cities.

That makes customer support more important, not less. If driverless rides are going to become normal for airport travel, riders need to know what happens when the trip doesn't go smoothly.

AI AIR TRAFFIC SYSTEM PROMISES FEWER FLIGHT DELAYS

What this means to you

If you use a Waymo or any robotaxi for an airport ride, treat the trip as unfinished until every bag is in your hand. Do not assume the trunk will open automatically. Keep the app open as you arrive. Tap the trunk button before you fully walk away from the car. If the trunk does not open, contact support right away and stay near the vehicle if it is safe to do so.

Also, think carefully about what goes in the trunk. Keep your wallet, passport, medication, laptop, keys and work documents with you in the cabin. A suitcase can be replaced. Your ID, prescriptions or work files can create a much bigger problem. This doesn't mean you should avoid Waymo. We're not saying that. It just means you should understand the limits of a driverless system before using one for a time-sensitive trip.

How to avoid losing luggage in a robotaxi

If you are using a driverless ride for an airport trip, a few small habits can help prevent a suitcase problem from becoming a travel disaster.

1) Keep essentials inside the cabin

Put your ID, wallet, medication, laptop and chargers in a small bag that stays with you. Do not place anything critical in the trunk.

2) Open the trunk before ending the ride

At drop-off, use the app or trunk release button before you close the door and step away. Make sure the suitcase is out before you move on.

3) Keep the app open on arrival

Do not lock your phone or put it away as you pull up to the terminal. You may need the app to open the trunk or contact support.

4) Take a quick photo of your luggage

If you put a bag in the trunk, take a quick photo before the ride starts. That can help if you need to describe what was inside the vehicle.

5) Report the problem immediately

If your belongings remain inside the car, contact support right away. Waymo says its support team can help with lost items, though it does not guarantee immediate delivery or reimbursement.

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AIRPORT ROBOTS HANDLE BAGGAGE IN TOKYO TRIAL

Kurt's key takeaways

Driverless taxis are becoming part of everyday travel. For many riders, they are convenient, quiet and surprisingly normal after a few minutes. But airport rides are different. People are rushed. A suitcase can hold your work laptop, medication, clothes and the things you need as soon as you land. A short delay can cause a missed flight, a lost meeting or a very expensive replacement run. That is what makes this story stand out. Waymo's cars may drive themselves, but the company still has to handle messy human problems quickly. When a trunk does not open, riders need more than a policy page. They need fast help, clear answers and a solution that does not make them feel blamed for a system failure. The future success of robotaxis will take more than safe driving. Companies also need to respond quickly when something goes wrong.

Would you trust a driverless taxi with your suitcase on the way to the airport, or would you keep every bag with you inside the vehicle until you reached the curb? Let us know by writing to us at CyberGuy.com.

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New AI brain lets robots move like humans

Wed, 06 May 2026 13:00:13 -0400

Genesis AI, a global full-stack robotics company, has unveiled GENE-26.5, a robotic brain designed to help general-purpose robots perform complex physical tasks with human-level manipulation.

The company says the system pairs a robotics foundation model with a human-scale dexterous robotic hand. It also includes a new data engine. Together, these pieces help robots learn from human movement and handle tasks that require precision and coordination.

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ROBOTS LEARN 1,000 TASKS IN ONE DAY FROM A SINGLE DEMO

What is GENE-26.5 and why it matters

Theo Gervet, co-founder and president of Genesis AI, says the easiest way to understand GENE-26.5 is to think of it as the system guiding the robot's actions.

"Think of GENE-26.5 like a robotic brain that takes in information and tells the robot what to do," Gervet said. "It is the industry's most advanced robotic brain, with the most advanced capabilities. We've proven this by releasing a few videos showing GENE-26.5 powering the most complex tasks ever performed by robots."

He says that matters because most robots still struggle with detailed hand movements. They often repeat one task in a controlled setting, but real life is less predictable.

"We've developed a way to feed GENE-26.5 massive amounts of data about how human hands move, so it can tell our robotic hands exactly how to move like a human's hands," Gervet said. "GENE-26.5 can also tell our robotic hands how to do tasks with many, many steps."

He pointed to a cooking example to show the difference. "For example, powered by GENE-26.5, our robotic hands can follow a 20-step process to make a full omelet from start to finish," Gervet said.

"That's why we're obsessed with innovating across the full-stack, from AI to hardware. By controlling every layer, we can build a cohesive system and solve the problem holistically. Our approach gives us a huge competitive advantage by harnessing unprecedented amounts of data, as that ultimately defines what foundation models can achieve."

How the AI brain helps robots move like humans

Human hands constantly adjust, even during simple actions. That level of control has been hard for robots to replicate. To explain, Gervet used a Rubik's Cube as an example. "Imagine you're playing with a Rubik's Cube. You have to hold it with the perfect grip strength. If you grip it too loosely, you'll drop it."

He said people make small adjustments without noticing. "You may not even realize it, but your brain is taking notice of how the cube feels. Even if you're just holding the cube, your hands are never perfectly still."

Those small movements are constant. "They're constantly making micro adjustments to make sure the cube doesn't slip and stays balanced," he said. "It takes a lot of complicated, intentional and coordinated movements that involve over 20 joints in your fingers, knuckles and wrists. Our robotic hands can do exactly that."

How Genesis AI trains robots using human data

Genesis AI built a robotic hand that mirrors the human hand in form and function. It pairs with a glove that captures motion and pressure. "The glove system helps us directly transfer information about how human hands move to our robot hands," Gervet said.

He explained how the system captures detail. "When a human wears the gloves as they interact with objects or do their work, we can capture details about the exact movements their fingers and wrists make. Our robotic hands are built to exactly match a human's hands, so that data works extremely well."

Genesis AI says the glove is 100 times cheaper than typical options. It has also shown up to five times greater data collection efficiency compared with traditional methods.

AI VIDEO TECH FAST-TRACKS HUMANOID ROBOT TRAINING

Why robots struggled before this AI brain

Robots have lacked usable training data for physical tasks. "Robots have always had a data problem," Gervet said. "When you think about the AI chatbots you use on your computer, they have the entire internet to access."

Robots did not have that advantage. "The big problem comes from the fact that unless the robot's hand exactly matches a human's hand, any information you capture about how human hands move won't translate well," Gervet said.

He said matching the human hand solves that gap. "We've solved this problem by creating a robotic hand that exactly matches a human hand."

How video and simulation improve robot learning

Genesis AI also uses other sources of data to train its system. "In addition to data from the glove, we use videos from humans wearing camera headbands so we can see how their hands move," Gervet said. "We also use massive amounts of internet videos."

The company says its simulation system is a major accelerator, allowing AI to train itself in a fully virtual environment before moving into the real world. This helps teams test and improve systems much faster than traditional physical testing, which can be slow and expensive.

Where robots with AI brains could be used first

For now, Genesis AI expects the first use cases to be in workplaces such as warehouses and manufacturing facilities. "We see our technology being used in industrial settings to start and then later in the home," Gervet said.

He described a phased rollout. "To start, it can be deployed for industrial use in warehouses and for manufacturing logistics. We're already having conversations with industrial customers."

After that, the technology could expand further. "After the industrial phase, we'll offer our technology to the service industry. Next, it can be offered to consumers in their homes." Gervet went on to say that "In addition, we’re hoping that in a home setting, our technology will be able to help handle daily chores, freeing up time for people to spend doing what they actually enjoy. Robots have been humans’ biggest fantasy for years. This is our collective hope, and we want to be the company to get us there."

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How safety is built into the technology

Gervet says safety testing is a core part of development. "Our technology goes through extensive testing and validation, first in simulation running millions of scenarios, then in controlled real-world environments," he said. "It has to earn its way into the room."

He added that the company also follows established safety standards and industry regulations designed to govern how robots operate around people.

He went on to say the company is currently showcasing individual components, including the robotic brain, robotic hands and data collection system and plans to unveil a full general-purpose robot that brings everything together. Early, small-scale deployments with select partners could begin later this year.

What this AI brain means for you

This technology will likely show up first in places like warehouses, factories and service environments where the work is repetitive or physically demanding. Gervet says, "In the future, we see our technology being able to fill some of the critical labor gaps there are today. Our hope is that this will increase productivity, while creating space for people to focus on meaningful, creative and high-value work."

Over time, that could change. Robots that can use the same tools as people may fit into existing spaces more easily, without needing everything redesigned around them.

"The beauty of the technology is that it’s meant to fit seamlessly into the human world," Gervet said. "Humans will still lead, but our reach won’t be limited by what we can do with our own hands."

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Kurt's key takeaways

This can feel like another robot demo, but the difference is how these robot hands move. They are starting to handle objects more like people do, using the same kinds of motions and tools. That is what makes this worth paying attention to. If robots can work in spaces built for humans without everything being redesigned, that is when things start to change in a more noticeable way. It also raises a bigger question about where this shows up first and how quickly it spreads. Not everything will change overnight, but this is the kind of progress that tends to build quietly and then suddenly feel like it is everywhere. So, be on the lookout for general-purpose robots that can suddenly handle objects more like human hands and start showing up in places you might not expect.

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As robots move and handle objects more like humans, do you want one helping you at home, or would that feel like a step too far at this point? Let us know by writing to us at CyberGuy.com.

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Unitree G1 humanoid robot ice skates and Rollerblades

Fri, 01 May 2026 07:19:55 -0400

We've seen robots walk, run, climb stairs and even recently finish a half-marathon. What we haven't seen until now is a robot gliding across the ice like an Olympic skater or spinning on one leg on Rollerblades without losing balance.

That is exactly what Unitree Robotics just showed with its G1 humanoid robot. In newly released footage, the robot moves on Rollerblades and ice skates while keeping its posture steady through coordinated wheel and leg control. It's pretty amazing to watch.

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ELON MUSK TEASES A FUTURE RUN BY ROBOTS

What stands out in the Unitree G1 video

When you actually watch the video, a few moments really stand out. It starts with the robot leaning into the motion, almost stepping as it propels itself forward on two wheels, shifting its weight from side to side as if one wheel is leading the next. Its arms move up and down to stay balanced, giving it a rhythm that feels closer to walking than rolling, like it's constantly adjusting in real time.

Then it pulls off a series of spins and an impressive flip, landing clean on two wheels and continuing without missing a beat. No hesitation.

Next, it switches to Rollerblades and moves with the same level of control. It glides, does some fancy footwork, changes direction and even lifts one leg while spinning and staying balanced like it's second nature. That alone would be impressive.

But the real wow moment comes at the end. On ice, the robot starts doing smooth twirls, almost like it’s figure skating, while holding its posture without slipping. That’s when you start to see how far these humanoid robots have come.

Why the Unitree G1's movement feels different

Most humanoid robots face the same problem. Staying upright while doing anything dynamic pushes the limits of control systems. The G1 changes that equation by blending two approaches. It combines wheeled efficiency with legged adaptability. That means it can roll when speed matters and step when terrain gets tricky.

In the demo, the robot transitions smoothly between these modes. It executes continuous motion instead of stopping to rebalance. You see 360-degree turns, controlled spins and even front flips, all without a visible pause.

That level of fluidity points to improvements in real-time control, balance correction and motion planning. These are areas that have held humanoid robots back for years, until now.

ROBOTS LEARN 1,000 TASKS IN ONE DAY FROM A SINGLE DEMO

Unitree G1 specs: what's under the hood

The hardware behind the G1 explains why it can pull this off. Unitree designed the system as a full-stack platform for AI training and deployment. That means the robot collects its own data, learns from simulation and applies those lessons in the real world.

The robot comes in two main versions. The Standard model focuses on stationary tasks. The Flagship version adds a wheeled base that can reach about 3.3 feet per second.

Both variations share a humanoid structure with up to 19 degrees of freedom. Each arm has seven degrees of freedom and can handle about 6.6 pounds. A flexible waist allows wide motion ranges, which helps with balance during dynamic movement.

Vision comes from a binocular camera in the head, along with wrist cameras for close-up work. The system can use different grippers, including dexterous hands for more precise tasks.

At the core, the Flagship model runs on an NVIDIA Jetson Orin NX module with up to 100 TOPS of compute. That level of onboard processing supports real-time decision-making during complex movement.

Battery life can stretch up to six hours, depending on how hard the robot is working.

Why wheels on the Unitree G1 humanoid robot matter

For years, robotics has leaned in two directions. Wheeled machines move efficiently but struggle with obstacles. Legged robots handle complex environments but use more energy and move more slowly.

Unitree's approach tries to merge both. By adding wheels to a humanoid frame, the G1 can move quickly across flat surfaces and still adapt when conditions change. That hybrid design also reduces wear on joints and improves energy efficiency over long distances.

It also opens the door to new types of tasks. A robot like this could move through a warehouse, switch to precise manipulation at a workstation and then roll to the next job without slowing down.

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NEW MOBILE ROBOT HELPS SENIORS WALK SAFELY AND PREVENT FALLS

Kurt's key takeaways

The skating is what grabs you first. It is fun to watch and hard to ignore. What stands out after a few seconds is how steady the robot stays the whole time. It keeps moving, keeps adjusting and never looks close to losing control. That is a big change from the stop-and-go motion we are used to seeing. If this keeps improving, and I know it will, you are going to see robots that can move through real environments without slowing down or needing constant input.

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So here is the question. If robots can move this fluidly today, how long before they start working alongside you without missing a step and are you OK with that? Let us know by writing to us at CyberGuy.com.

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Waymo teams up with Waze to spot potholes faster

Wed, 29 Apr 2026 08:45:42 -0400

You know that moment. You are driving along, and everything feels smooth. Then all of a sudden, your car hits a pothole you never saw coming.

It is frustrating. It can also be expensive and dangerous. Repairs add up fast, and unexpected road damage can lead to crashes.

Now, Waymo and Waze are trying to tackle that problem in a new way. Instead of waiting for people to report potholes after the fact, they want to detect them as they happen and help cities respond faster.

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RESEARCHERS CREATE REVOLUTIONARY AI FABRIC THAT PREDICTS ROAD DAMAGE BEFORE IT HAPPENS

How Waymo detects potholes behind the scenes

Waymo's robotaxis already spend hours on the road each day. While they drive, they constantly scan their surroundings using cameras, sensors and onboard software. That same technology is now being used to identify potholes.

When a Waymo vehicle detects a road issue, that information is shared through Waze's "Waze for Cities" platform. Cities and transportation departments can access the data at no cost. At the same time, the information shows up in the Waze app so drivers can see alerts as they approach a problem area.

There is also a human layer built in. Waze users can confirm or flag potholes, which helps improve accuracy over time. That combination of machine detection and real-world feedback creates a more reliable picture of road conditions.

Why this is a big shift in how cities fix potholes

Most cities still rely on residents to report potholes through 311 systems or online forms. Crews then investigate and decide what to fix first. That process takes time and often leaves gaps. Some potholes go unreported. Others are reported too late. In many cases, cities end up reacting instead of getting ahead of the problem.

This new approach changes that. By using real-time data from vehicles already on the road, cities can see where issues are forming and respond more quickly. It also helps them spot patterns, which can improve how they plan repairs and allocate resources.

Where the Waymo and Waze pilot program is running

The partnership is still in its early phase, but it is already active in several major metro areas. The rollout includes the San Francisco Bay Area along with Los Angeles, Phoenix, Austin and Atlanta. These are places where Waymo already operates, which makes it easier to collect consistent data.

Even at this early stage, the system has already identified around 500 potholes across those cities. That gives you a sense of how much road damage can go unnoticed without constant monitoring.

Over time, the companies plan to expand into more regions, including areas where weather conditions make potholes more common.

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Why potholes are a bigger problem than they seem

Potholes may feel like a minor annoyance, but they have real consequences. They can damage tires, affect alignment and lead to costly repairs. In some cases, they contribute to accidents, especially when drivers swerve to avoid them or hit them at high speeds.

There is also a fairness issue. Areas that rely on resident reports may see uneven maintenance. Some neighborhoods get quicker fixes while others wait longer simply because fewer reports come in.

By combining automated detection with user input, this system aims to close those gaps and give cities a more complete view of road conditions.

What this means to you

You may not think much about the technology behind road maintenance, but it directly affects your daily drive. If this approach expands, it could lead to fewer surprise potholes and quicker repairs on roads you use every day. It may also mean better alerts in navigation apps, which gives you more time to react and avoid damage.

There is also a long-term benefit. Better data can help cities maintain roads more efficiently, which can reduce wear and tear on your car and lower the risk of unexpected repairs. At a broader level, it shows how data collected for one purpose can improve something completely different. In this case, the same systems that guide self-driving cars could make everyday driving safer for everyone.

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AIR TAXIS CUT HOUR-LONG COMMUTES TO MINUTES, RIDERS MAY BE SHOCKED BY THE PRICE

Kurt's key takeaways

This might sound like a small idea at first. But it points to something much bigger. For years, cities have been playing catch-up when it comes to road maintenance. They rely on slow reports and limited data, which means problems often get fixed late or missed entirely. Now, that could start to change. With Waymo cars constantly scanning the roads, cities can tap into a steady stream of real-world data without having to build a whole new system from scratch. If this pilot works, it could change how cities stay on top of road repairs. And it is another example of how private tech is starting to shape public infrastructure in ways most people never see. That can be a good thing. But it also raises a bigger question about where that line should be drawn.

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Runway-to-Space Challenge brings spaceflight closer

Tue, 28 Apr 2026 16:00:50 -0400

For years, getting anything into space has been slow and expensive. You prepare for months, sometimes years, and you often get one shot to run your experiment. If something does not work, you wait again. That model is starting to change.

A new U.S. competition called the Runway-to-Space Spaceplane Challenge is opening the door to a different way of doing space research. Instead of relying on traditional rocket launches, teams will be able to fly payloads on a reusable spaceplane that takes off and lands on a runway. It sounds simple, but it could reshape how innovation happens.

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How the Runway-to-Space Challenge changes space testing

The program is built around the Aurora spaceplane from Dawn Aerospace, operating out of the Infinity One Oklahoma Spaceport. This vehicle can reach the edge of space, traveling at speeds above Mach 3.5 and climbing to altitudes of about 62 miles. During each flight, payloads can experience a short window of microgravity that lasts just over two minutes.

On its own, that may sound similar to other suborbital missions. What makes this different is how often it can fly. The Aurora is designed for rapid turnaround, which means it can land, be prepared again and return to flight much faster than a traditional launch system. That shift removes one of the biggest bottlenecks in space research.

A closer look at how this spaceplane works

The Aurora spaceplane has already completed more than 60 missions, with a focus on making access to the edge of space more routine and scalable.

"Meaningful access to microgravity typically means going to orbit, which is expensive, slow, and often out of reach for early-stage ideas," said Stefan Powell, CEO of Dawn Aerospace. "Aurora changes that by giving teams a fast, lower-cost way to access microgravity and iterate within months. It's not a substitute for long-duration missions, but it enables experiments that would otherwise never leave the ground, turning ideas that might never have flown into viable missions that can ultimately progress to orbit."

That idea of faster iteration is what makes this program stand out. It gives researchers a way to test concepts, adjust them and return to flight without long delays.

Former NASA Administrator Jim Bridenstine also sees the bigger picture.

"This competition is about capturing the imagination of scientists, engineers and researchers, while also enabling a new way of working, where research can move faster, iterate more frequently, and strengthen U.S. leadership in space-enabled science and industry."

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Why spaceflight is starting to look more like aviation

Think about how commercial aviation works. Planes land, refuel and take off again in a matter of hours. That same rhythm is now being applied to space access. Instead of designing a perfect experiment for a single launch, researchers can test, adjust and fly again. That creates a more flexible process where ideas can evolve in real time.

This matters because many early-stage concepts never make it to space. The cost and complexity are simply too high. With a reusable system, smaller teams have a better chance to test bold ideas without waiting years between attempts. It does not replace long missions in orbit, but it fills a gap that has existed for decades.

How the US is pushing faster space innovation

The challenge is being led by the Oklahoma Space Industry Development Authority, which is working to expand the state's role in the growing space economy. There is real investment behind that effort. The spaceport is undergoing major upgrades to support more advanced operations, including new infrastructure designed specifically for spaceplane missions.

Programs like this reflect a broader push to speed up space research and make it more responsive. When teams can test ideas more frequently, progress tends to follow. The timeline reflects that long view. Applications open in April 2026 and close in September, with flights expected to begin in 2027. That gives teams time to prepare payloads while the supporting infrastructure continues to expand.

Runway-to-Space Challenge details and how to apply

If you are wondering who can actually take part, the program is structured to center on Oklahoma institutions while still allowing broader collaboration. Applications must be led by an Oklahoma-based university or research institution, though out-of-state partners can join as collaborators. The application window opens April 16, 2026, and closes Sept. 25, 2026, at 5 p.m. CT.

Selected teams will be able to fly payloads weighing up to 33 pounds. Each mission can reach altitudes of about 62 miles, exceed Mach 3.5 and provide up to 127 seconds of microgravity. Flights are expected to begin in mid- to late 2027, giving teams about a year to prepare.

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What this means to you

Even if you are not working in aerospace, this shift could still affect you. When access to space becomes faster and more flexible, innovation tends to accelerate. Research that once took years can move forward in shorter cycles. That can influence everything from materials science to weather forecasting.

It also signals a broader change. Space is moving away from rare, high-stakes missions and toward a model that supports routine experimentation. That usually leads to more competition and more rapid breakthroughs. Over time, those breakthroughs often show up in everyday technology, even if the connection is not always obvious.

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Kurt's key takeaways

Spaceflight has always pushed the limits of what is possible, but the process has remained slow for a long time. The Runway-to-Space Challenge points to a future where reaching the edge of space becomes more practical and repeatable. That alone could unlock ideas that have been sitting on the sidelines. If space starts to operate more like aviation, the pace of discovery could change in ways that ripple far beyond the aerospace industry.

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If spaceflight becomes routine enough for constant testing, how quickly should we expect new technologies to move from experiments to everyday life? Let us know by writing to us at CyberGuy.com.

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Air taxis cut hour-long commutes to minutes, riders may be shocked by the price

Mon, 27 Apr 2026 18:13:26 -0400

Electric air taxis are now moving closer to real-world use, completing test flights designed to turn hour-long commutes into trips lasting just minutes.

Joby Aviation, Inc., said it completed what it described as the first point-to-point electric vertical takeoff and landing (eVTOL) air taxi demonstration flights in New York City, the company shared in a press release.

The California-based company said its aircraft departed from John F. Kennedy International Airport and landed across the city's heliport network, including the West 30th Street and East 34th Street heliports in Midtown, demonstrating trips of under 10 minutes.

AIRLINE UNVEILS STACKED BUNK BED 'PODS' AS BACKLASH BUILDS OVER PRICEY, CRAMPED WAY TO FLY

The test runs marked "the start of a week-long public campaign across the city’s existing heliport network," the company said in its release.

Joby said its air taxis, which produce no operating emissions and run quietly, "will be able to connect the region, linking vertiports, international airports, and communities across the New York metropolitan area."

The company worked with the Port Authority of New York and New Jersey to launch the test flights, which trace some routes it envisions for future service.

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Kevin O'Toole, Port Authority chairman, said the agency's role is to ensure its transportation network "keeps pace with the future."

O'Toole added, "This cutting-edge aircraft is exactly the kind of innovation we have a responsibility to test, understand, and help shape for the good of the region and the public."

"These flights advance our work to determine how next-generation aviation technology can serve the people of New York and New Jersey."

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The New York City Economic Development Corporation (NYCEDC) interim president said the electric flights "mark a real milestone."

"These historic Joby flights, linking our city-owned heliport to our airports, [are] proof that the future of advanced air mobility is no longer a Jetsons-esque fantasy — it’s already here," said NYCEDC president Jeanny Pak.

"In terms of the price point, our target is to be competitive with ground transportation over time," Joby Aviation's CEO JoeBen Bevirt told NBC News.

Ride-share prices researched by Fox News Digital indicate that trips between JFK and Midtown can cost $150 to $250, depending on the time of day and traffic conditions.

A handful of social media users weighed in on the flights under Joby's X post.

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"Epic views," one X user said.

"Can I get a ride?" another asked.

One user was more critical, calling the New York City area's airports "the worst in the country to reach."

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Fox News Digital reached out to Joby Aviation for further comment and information.

Sumner Park of Fox Business Network contributed reporting.

Toyota's CUE7 robot shoots hoops using AI

Thu, 23 Apr 2026 08:03:25 -0400

Most people think of Toyota and picture a Camry, a Tacoma, maybe a Prius. A 7-foot-2 robot shooting free throws at halftime of a professional basketball game? That's a harder image to conjure. But recently, that's exactly what happened at Toyota Arena Tokyo, and around 8,400 fans watched it go down live.

The robot is called the CUE7. It smoothly stood up from a seated position, dribbled a basketball and sank a free throw without any human input. The crowd applauded. The engineers probably exhaled. Toyota had officially debuted its most advanced AI-powered humanoid robot, and it chose basketball as the venue.

So why is a car company building basketball robots? And what does any of this have to do with you? More than you might think.

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AI-POWERED ROBOT SINKS SEEMINGLY IMPOSSIBLE BASKETBALL HOOPS

The CUE7 started from scratch, on purpose

Here's the thing that makes the CUE7 genuinely different from its predecessors: Toyota's team discarded everything they had built and started over.

"We made full use of AI, and we discarded everything we had built up and started again from scratch," said Tomohiro Nomi, research leader for humanoid robots at Toyota's Frontier Research Center.

That's not a small statement. The CUE series goes back to 2017, when a group of Toyota employees launched it as a voluntary side project on their own time. It eventually became an official research program, and over nearly a decade, the team stacked up some genuinely impressive hardware. The CUE3 earned a Guinness World Record in 2019 for most consecutive basketball free throws by a humanoid robot (assisted), sinking 2,020 in a row. Then the CUE6 earned the record for the farthest basketball shot by a robot, connecting from about 80 feet 6 inches) away.

So the legacy was already there. What changed with CUE7 was the philosophy behind how it learns.

From human programming to AI that figures it out alone

Earlier versions of the CUE relied on something called model predictive control. Basically, human engineers programmed exactly how the robot should move, step by step. It worked well enough to break world records. But it also had a ceiling. Every new motion required new programming by a human being.

The CUE7 instead uses reinforcement learning powered by artificial intelligence. It learns to shoot the ball based on its own experience and trial and error rather than pre-programmed instructions. The AI acts as an autonomous agent: it tries something, observes the result, adjusts and tries again. Over enough repetitions, it gets good. Really good.

The hybrid control system merges reinforcement learning with model predictive control, creating a robot that adapts to unexpected situations rather than just following a fixed script. Think of it as the difference between a player who memorized every play in the book and one who reads the game in real time. CUE7 is learning to read the game.

What's actually inside the CUE7 robot

The CUE7 stands about 7 feet 2 inches tall and weighs roughly 163 pounds, making it about 40% lighter than the previous version, which came in around 265 pounds. Toyota pulled that off by simplifying the structure and reducing the number of axles.

It also switched from four wheels to two, which makes its movement faster and more fluid. One moment that really stood out was how smoothly it can rise from a seated position. That kind of motion, especially at this size, takes serious engineering and drew a reaction from a crowd of more than 8,000 people.

For sensing and aiming, the robot uses lidar sensors in its torso to detect its surroundings, along with a stereo camera in its head to calculate distance and angle. It is powered by high-performance batteries adapted from Toyota's racing tech.

Here's where it gets interesting. The robot measures the distance to the hoop, calculates the angle, determines the right trajectory and then releases the shot with controlled force. If it misses, it learns from that attempt and adjusts on the next one.

ROBOT PLAYS TENNIS WITH HUMANS IN REAL TIME

The AI that actually makes this work

Toyota trained the system using human motion data, which is what gives CUE7 its surprisingly natural movement. Rather than looking mechanical, its actions mirror how a person actually moves, and that's by design.

That same combination of real-time calculation and learned experience is what lets it handle something like dribbling (fluid, continuous) alongside shooting (precise, calculated) without the two working against each other.

Toyota says testing that kind of learning in a live environment is a key part of the project.

"We believe it is an exceptionally valuable opportunity to validate a reinforcement-learning-based robot in the inherently uncertain environment of a basketball arena," Tomohiro Nomi, Head of Humanoid Robotics Research Unit, Frontier Research Center, Toyota Motor Corporation, told CyberGuy. "Moving forward, we will continue developing robots that inspire and bring joy to people."

What this means to you

You're probably not buying a robot basketball player anytime soon. But here's the part worth paying attention to: the same AI that helps CUE7 sink free throws is the technology Toyota is actively developing for manufacturing, automotive systems and real-world robotics.

Basketball demands everything that manufacturing robots struggle with: target identification, distance gauging, trajectory computation, coordinated movement and precise force control, all in sequence and under pressure. Toyota chose basketball specifically because it tests all those capabilities at once, in an environment where success and failure are completely obvious.

The reinforcement learning powering CUE7 could eventually show up in factory robots that adapt mid-shift when production requirements change, in vehicles that handle unexpected road conditions more fluidly, or in home and care robots that need to navigate unpredictable environments. Toyota treats CUE7 as a testbed for vision systems, motion control and coordinated movement, with capabilities that reach well beyond halftime demonstrations into broader real-world applications.

When Toyota teaches a robot to play basketball, it's really teaching machines how to learn. And that skill transfers. In other words, this is less about basketball and more about teaching machines how to learn physical skills in unpredictable environments. That is where the real impact starts to show up.

THE NEW ROBOT THAT COULD MAKE CHORES A THING OF THE PAST

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Kurt's key takeaways

The CUE7 is a fascinating piece of technology, but the real story isn't about basketball. It's about a fundamental shift in how robots are trained, moving away from rigid human programming toward AI systems that learn through experience and adapt on the fly. What started as a voluntary employee side project in 2017 has grown into a genuine proving ground for Toyota's embodied AI research. Nearly a decade in, the results are landing in front of thousands of live spectators and stacking up Guinness World Records along the way. The CUE7 made a free throw at halftime in front of a packed arena. More importantly, it demonstrated that AI-powered machines can now acquire complex physical skills through trial and error, the same basic way humans do. That's a shift with implications that reach far beyond the basketball court.

If a robot can teach itself to make free throws better than most humans ever will, purely through AI-driven trial and error, what physical skill do you still believe machines will never be able to learn on their own? Let us know by writing to us at Cyberguy.com.

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Robots beat humans in half marathon

Wed, 22 Apr 2026 14:29:54 -0400

At the end of a half-marathon, runners are usually wiped out. That part looked normal in Beijing. What didn't look so normal was who crossed the finish line first — a humanoid robot named Lightning.

While people slowed down and tried to catch their breath, the robots just stood there like nothing happened. No sweat. No fatigue.

And the gap was not small. The winning robot, built by Honor, finished in 50 minutes and 26 seconds. That beat the current human world record set by Jacob Kiplimo, who finished in 57 minutes and 20 seconds.

That is not a small improvement. It is a big jump.

HOW 432 ROBOTS ARE RELOCATING A 7,500-TON HISTORIC BUILDING

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How humanoid robots went from struggling to record-breaking

This year tells a different story. Nearly half of the robots ran autonomously. No joystick. No remote operator guiding every step. They navigated the course on their own while running alongside human participants.

The event included more than 100 robot teams from 13 provinces, alongside about 12,000 human runners, showing how quickly this space is growing.

What matters more than the finish time is how they did it. Autonomy means these machines are starting to make real-time decisions in the real world. That is the same kind of challenge they would face in factories, warehouses or even homes.

Why these humanoid robots are so fast

The winning robot, nicknamed Lightning, was engineered with a clear goal. Engineers gave it long legs designed to mimic elite human runners. The stride length and cadence were tuned for efficiency over distance.

They also borrowed technology from smartphones, including liquid cooling systems. That helped prevent overheating during sustained high-speed movement.

Sensors and onboard computing allowed the robot to adjust its balance and path in real time. That is a big deal. Running is controlled falling. Doing that at speed without crashing requires constant correction.

According to the engineers behind the project, the real goal is not racing. It is stress-testing systems. If a robot can run 13.1 miles at high speed without failing, it can likely handle long shifts in industrial settings without breaking down.

What the robot companies are actually saying

The teams behind these machines are not claiming robots will replace marathon runners. That would miss the point. Instead, they see events like this as a proving ground.

Engineers involved in the project say improvements in movement, cooling and structural durability will carry over into real-world uses. That includes manufacturing, logistics and potentially service roles.

In other words, the race is a demo. The real product is reliability. And reliability is what makes robots useful where people actually need them.

Why humanoid robots still struggle in real-world situations

For all the headlines, this was not flawless. One robot fell at the start. Another collided with a barrier. Those moments matter.

They show that even with record-breaking speed, humanoid robots still struggle with unexpected situations. Unexpected obstacles, sudden changes or minor errors can still cause failure.

That gap between peak performance and consistent performance is where humans still have an edge. For now.

Why this humanoid robot half-marathon is bigger than a race

It is easy to dismiss a robot race as a stunt. That would be a mistake. Running combines balance, endurance, decision-making and energy management. If robots are improving this quickly in one of the hardest physical tasks, progress in simpler tasks will move even faster.

We are already seeing robots carry groceries, assist in kitchens and handle repetitive cleaning tasks. Add mobility and endurance at this level, and their usefulness expands quickly.

This is how adoption happens. Quiet improvements, then sudden capability jumps that feel overnight.

What this means to you

You are not about to get outrun by a robot at your local 5K. But you are getting closer to a world where robots show up in more parts of your daily life.

Expect to see them in warehouses first, then in customer-facing roles where consistency matters more than personality. Over time, costs will drop, and capabilities will improve.

That affects jobs, convenience and even how services are delivered.

It also raises questions about safety, oversight and how much autonomy we are comfortable giving machines.

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Kurt's key takeaways

A robot winning a half-marathon sounds like clickbait. But it is also a sign of where things are headed. Not because robots are faster, but because they are starting to run on their own in the real world. That is when this stops being interesting and starts becoming something you feel in your everyday life. Are you ready for a world where this is normal?

If robots keep improving at this pace, where do you draw the line between helpful automation and something that starts to replace too much of what humans do? Let us know by writing to us at Cyberguy.com.

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Alexa+ lets you order food like a real conversation

Tue, 21 Apr 2026 08:57:03 -0400

You're hungry, and your stomach's already growling. Normally, you'd grab your phone, open your favorite delivery app and start scrolling through endless restaurant lists. Tap a few menus, pick a few items and before you know it, you've built your order piece by piece.

But with Amazon Alexa+, you can skip all that tapping and scrolling. Just tell Alexa what you're in the mood for, change your mind halfway or add something extra as you go, like you're chatting with someone taking your order.

That's the new idea behind Alexa+. Amazon has rolled out a voice-powered food ordering feature that lets you get delivery from Uber Eats and Grubhub without ever opening an app. Just say what you want, and Alexa handles the rest.

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ALEXA.COM BRINGS ALEXA+ TO YOUR BROWSER

What you need to use Alexa+

Now, before you start ordering with your voice, there are a few quick setup steps.

You need an Alexa+ compatible device, like an Echo Show
You must link your Uber Eats or Grubhub account in the Alexa app
Your past orders can sync automatically for quick reordering

Once that's done, it becomes a hands-free experience.

How to set up Alexa+ for food ordering (step by step)

We set this up using the Amazon Alexa app on a phone, and these are the exact steps we followed. The menus may look slightly different depending on your device.

Open the Alexa app on your phone
Tap "More" (it usually has three horizontal lines)
Tap "Alexa+ Store"
Use the search bar and type in Uber or Grubhub.
Tap the service you want
When it appears, tap to open it.
Tap "Connect" or "Enable" (You may see a page from "pitangui.amazon.com" during setup. That's part of Amazon's system and is safe if you open it from the Alexa app. )
Next, sign in to your account on your phone
Tap "Grant access"
Tap "Continue"
Tap "Close" to return to the app

After we linked our Grubhub account, we got a confirmation email saying everything was successfully connected. Once that's all done, it becomes a hands-free experience.

To actually place an order, go to your Echo device and say, "Alexa, I want to order food," then follow the prompts on the screen. Note: the feature is still rolling out and works best on newer Echo Show devices.

You can also manage or remove the connection anytime in the Alexa app by going to: Alexa App > Menu > Settings > Manage Alexa+ Services < The service you want to remove > Unlink & Revoke Permissions

How Alexa+ actually builds your order

After you're set up, this is where things start to change. For years, voice assistants followed a simple pattern. You ask something. It answers. That's it.

With Amazon Alexa+, that model shifts. Instead of giving one command at a time, you can carry on a back-and-forth conversation.

You might start with:

"Show me Mexican food"
"Actually, let's do pizza"
"Add a large pepperoni with extra cheese"
"Wait, make that two"

The system updates your order in real time. If you change your mind, it adjusts instantly on screen. Even better, it only jumps in when you need help. That means fewer interruptions and a smoother flow.

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How Alexa+ lets you customize your order

This is where things start to feel different from anything we've seen before.

You can explore like you're talking to a person

You don't need exact menu names. Say something like "meat lovers pizza," and Alexa+ finds the closest match. Want dessert? Just ask. Curious what's popular? Ask that too.

You can change your mind mid-order

Most apps make you backtrack. Alexa+ lets you pivot on the fly. Add items. Remove them. Adjust quantities. Switch restaurants entirely. Everything updates live on your screen.

You see the full breakdown before you pay

Before checkout, you'll get a clear summary:

Item names
Quantities
Individual prices
Total cost

That transparency matters, especially when small add-ons can quickly add up.

You can track your delivery with your voice

Once your order is placed, you can simply ask:

"Alexa, where's my food?"

No need to dig through notifications or open another app.

Why Amazon is pushing Alexa+ now

This isn't just about food delivery. Amazon is testing a bigger idea. It wants Alexa+ to adapt based on what you're trying to do. Ordering food needs flexibility. Checking the weather doesn't. So instead of one rigid interaction style, Alexa+ shifts its behavior depending on the task. Food ordering is just the beginning. Amazon is already hinting at future uses like grocery shopping and travel planning.

GRUBHUB LAUNCHES FIRST-EVER COMMERCIAL DRONE FOOD DELIVERY SERVICE IN NEW JERSEY

What this means to you

This feature sounds convenient, and in many ways it is. Still, there are a few things worth thinking about before you start ordering dinner out loud. First, it makes ordering easier. That's great for speed, but it can also make spending feel effortless. When ordering becomes a conversation, it's easy to keep adding items without paying attention to the total. Second, your data matters. Linking accounts means Amazon can connect your voice activity with your food habits. That includes what you order, when you order and how often. Third, it changes how you interact with technology. Instead of tapping and scrolling, you're relying on AI to interpret what you mean. That saves time, but it also means trusting the system to get things right. Finally, it may reshape your habits. If this becomes second nature, opening apps could start to feel old-fashioned before long.

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Kurt's key takeaways

Ordering food has always been simple. Now it's becoming conversational. That shift might sound small, but it signals something bigger. Technology is moving away from commands and toward natural interaction. The goal is to make devices feel less like tools and more like assistants. The real question is how far that goes. If your device can handle dinner tonight, what else will it manage tomorrow?

And here's something to think about: At what point does convenience start making decisions for you instead of helping you make them? Let us know by writing to us at Cyberguy.com.

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BMW puts humanoid robots to work building EVs

Mon, 20 Apr 2026 07:26:20 -0400

BMW Group has spent years testing automation, but this latest move feels different. Instead of robotic arms locked in cages, the company is now using humanoid robots that move through factories more like people. After a successful pilot in Spartanburg, South Carolina, BMW is bringing that same idea into its Leipzig, Germany, factory, where it is testing robots in real production environments. This time, it is partnering with Hexagon Robotics to introduce a new generation of AI-powered machines. Unlike many robot demos you see online, this one is already being tested inside a real production environment.

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CHINESE ROBOT BREAKS HUMAN WORLD RECORD IN BEIJING HALF-MARATHON

How BMW's humanoid robot pilot built over 30,000 vehicles

BMW's earlier pilot used Figure 02 humanoid robots for a very specific task. They handled the precise positioning of sheet metal for welding on the BMW X3 production line. That task may seem small, but it plays a key role in keeping production moving smoothly. Precision work like this can easily slow things down or create bottlenecks. According to BMW, those robots helped contribute to building more than 30,000 vehicles. Because of that success, the company now feels confident about expanding the concept. Instead of limiting testing to one plant, BMW is moving forward with its iFACTORY initiative in Leipzig, where EV production is already a major focus.

BMW's new AI humanoid robots for EV factories

The new robots, called AEON, come from Hexagon Robotics. They are designed to work inside active factory environments without constant human direction. They rely on AI-based motion control, which helps them move through complex spaces. At the same time, built-in sensors allow them to understand their surroundings in real time. Because of that, they can adjust their actions on the fly instead of following fixed instructions. Hexagon refers to this as "Physical AI." In simple terms, the robot can make decisions based on what it sees around it. As a result, the robot does not stop when something unexpected happens. Instead, it adapts and keeps working. That marks a clear shift from traditional factory automation.

Why BMW is investing in humanoid robots now

BMW executives have made it clear that this is not about replacing people overnight. Instead, the goal is to test what actually works in real production environments. Michael Nikolaides, who oversees BMW's production network, says these pilot programs help the company refine how AI-powered robots learn on the job. He goes on to point to a broader vision, saying: "Digitalization improves the competitiveness of our production, here in Europe and worldwide. The symbiosis of engineering expertise and artificial intelligence opens up entirely new possibilities in production." There is also a practical reason for the humanoid design. Factories are already built for human workers. Because of that, a robot that can use the same spaces and tools is much easier to integrate than one that requires a complete redesign.

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How humanoid robots could transform factory work

For years, humanoid robots felt more like something you saw in those social media demo videos than something you would trust on a real factory floor. Yes, they looked impressive, but they struggled in real environments. That is starting to change. Factories are still unpredictable. Parts do not always arrive in the exact same position. Workers move around constantly, and tools and materials shift throughout the day. Because of this, traditional robots often struggle since they rely on tightly controlled conditions. AI-powered humanoid robots can handle that kind of variability. They move around people and equipment without stopping. They adjust when parts are slightly off, and they work in spaces built for human workers. That level of flexibility is what sets this new wave of AI-powered robotics apart from earlier forms of automation.

What this means to you

Even if you never step inside a factory, this shift still matters. For one, it could change how cars are built, whether they are electric or gas. When production speeds up, costs can come down over time, which could affect what you pay for your next vehicle. At the same time, factory jobs are likely to change. Some repetitive or physically demanding work may move to robots. In many cases, that means people shift into roles focused on oversight, maintenance or more skilled tasks. Step back for a second, and you can see this is a sign of where AI is headed next. It is no longer limited to apps on your phone or software on your computer. Now, it is starting to show up in the physical world in ways you can actually see and interact with.

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HOME ROBOT COOKS, CLEANS AND ORGANIZES YOUR LIFE

Kurt's key takeaways

BMW is not the only company testing humanoid robots, but it is one of the first to bring them into real production environments. That is a big shift from the testing phase most of us are used to seeing. The fact that these robots are already helping build tens of thousands of vehicles shows that this is moving beyond early trials. It is starting to become part of how factories actually run. Where this goes next is still an open question. If the technology keeps improving, you could see more of these robots show up in factories and warehouses over time.

So here is the bigger question. How do you feel about humanoid robots working alongside people in factories? Would you trust them to help build the car you drive? Let us know by writing to us at Cyberguy.com

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The AI revolution threatens office jobs, but revives demand for skilled trades

Sun, 12 Apr 2026 09:00:00 -0400

Any serious discussion of the challenges confronting the modern workforce must include an evaluation of the impact of artificial intelligence (AI). Like every transformative technology that has come before it, AI has generated both optimism and apprehension, as workers and industries weigh its potential benefits against its inevitable labor market consequences.

The reasons new industries are able to surpass established players are often outdated business models, and capitalism encourages innovation and fresh thinking to contribute to the constant evolution of our economy. Our world will look different with the introduction of every major inventive shift, and perhaps instead of fighting it, we can work with it, reap its benefits and utilize it to push our workers forward.

Previous technological innovations primarily affected blue-collar work, replacing hands-on labor with more efficient and predictable machinery. However, this time around is different as AI is more likely to disrupt white-collar work, particularly in middle-to-high-paid professions. With the significant overlap of tasks performed in these professions and AI’s capability, white-collar workers are at significant risk of job loss.

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It is crucial to note that a high percentage of overlap in tasks does not necessarily mean that AI can entirely replace a role. If automation can execute simpler tasks within a job role, the remaining work tends to be more difficult and involved, meaning the workers tasked with this role are more valued and often better paid. Thus, automation may actually drive up wages and increase demand for some types of white-collar work, but it does reduce the total number of employees needed, putting many workers at risk of unemployment.

So, the careers that have been stigmatized for their lack of baccalaureate degree requirements in the past just might be the best jobs for the future as AI-powered tools are simply not able to take over those specialized and uniquely human skills. However, AI is limited in its ability to execute complex problem-solving, high-level management and social interaction, all of which are essential skills in trade and health-care careers.

Even if AI is able to automate some of the more routine tasks in the workplace, tradespeople are further insulated from AI-driven job displacements because of the unique need for human touch in these roles. For example, in HVAC work, AI algorithms may help diagnose issues, but human experts must then step in to execute the work and respond to real-time challenges with careful judgment, manual dexterity and complex problem-solving. Beyond the physical execution of the task, tradespeople are also regularly in roles for which customer interaction and emotional intelligence are required. Even if technology were to eliminate certain tasks in trade careers, it can’t replace empathy and rapport as easily.

Taken altogether, the persistence of workforce shortages in the trades, the threat of an aging workforce, the effects of current immigration policy, and long-standing stigmatization of the trades create a compounding effect that threatens the future of the American workforce. Employers are becoming increasingly desperate to fill open roles to sustain and grow our infrastructure, but without workers who both want to work and have the necessary skill sets, there’s little they can do. Projects are stalling, and supply chains are slowing down while costs for businesses and consumers rise. Without timely and effective action to rectify the issues of the worker pipeline, economic growth will surely weaken.

HOUSE PASSES AI EDUCATION BILL FOR SMALL BUSINESSES IN OVERWHELMING LANDSLIDE 395-14 VOTE

Beyond the construction of AI infrastructure, though, the growth of AI, robotics and other technologies will create a new skills gap; these technologies require operators familiar with their function and repairmen who can quickly diagnose and solve problems. To meet this challenge, U.S. policymakers, employers and schools should consider AI education and training equally important to the trades and health-care professions when considering options to address future workforce shortages.

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In many ways, our education system is ill-equipped to rise to the challenge. The advent of AI, combined with a declining labor participation rate and growing workforce shortages, necessitates bold and decisive action, yet, for the most part, America’s education system continues to plod along in largely the same way it has for the past 100 years.

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When job displacements, new economic opportunities and changing educational paradigms converge, resourcefulness and adaptability become all the more important. The landscape of AI and how it interacts with our educational and working world is constantly evolving, with new developments coming out seemingly every day. Successful workers and companies will integrate AI into their workflows to maximize efficiency while continuing to maintain the humanity of their professions to provide the best goods and services possible with the resources available.

In meeting today’s workforce challenge, trade schools can harness the power of that wind to propel students and workers toward jobs that employers value and that cannot be easily automated or outsourced to AI. This moment creates an opportunity to realign education with employment, expand hands-on learning, and elevate careers in high-demand fields such as health care, technology, and the skilled trades. But it will take a national commitment to fully capitalize on this opportunity. Bridging the skills gap is a national imperative and should be treated as such.

This op-ed is adapted from Jason Altmire and Riley Burr's upcoming book, Trade Up: Why the Future Belongs to Skilled Workers–and How Career Education is Transforming the Workforce, which will be available for sale April 28th.

Riley Burr serves as executive director of the CECU (Career Education Colleges and Universities) Research Foundation and is vice president of policy and research at CECU.

PETER NAVARRO: Trump's Artemis vision is now flying — and China is paying attention

Fri, 10 Apr 2026 21:00:46 -0400

Now that Artemis II has completed its lunar flyby and returned to Earth, Artemis is no longer a concept or a promise. It is a working American deep space architecture.

In a single mission, the Artemis II crew executed manual piloting and proximity operations, while the Orion spacecraft operated at lunar distance and proved the life support, propulsion, power, thermal, navigation and reentry systems that generated the operational data NASA says will shape the missions that follow.

As we celebrate this achievement, it is worth remembering how this mission began — and why it matters.

ARTEMIS II NEARS END OF HISTORIC MISSION WITH SPLASHDOWN OFF CALIFORNIA COAST

Early in his first term, Donald Trump saw what no president since Richard Nixon had seen clearly enough: returning to the Moon is not some relic of the last century’s glory days. It is the strategic high ground of this one.

The triumph of Artemis II began on Dec. 11, 2017, with the signing of Space Policy Directive-1. It redirected NASA away from two dead ends.

The first was the Obama-era asteroid pathway, in which NASA planned to retrieve a boulder from a near-Earth asteroid, place it in lunar orbit and send astronauts there as a steppingstone to Mars. It was the kind of fool’s errand only Washington could love — expensive, convoluted and utterly lacking the geopolitical clarity of a return to the moon.

The second was America’s long low-Earth-orbit holding pattern. Years of useful work aboard the International Space Station, to be sure, but no serious strategy for pushing outward into deep space and reclaiming leadership beyond it.

In the Trump doctrine, the moon is not just a destination. It is the next great platform of national power — a logistics hub, a science outpost, a proving ground for deep-space industry and a potential source of water ice for drinking water, oxygen and rocket fuel.

It is also where the technologies of in-space manufacturing, power generation, navigation, extraction and transport will be tested and refined and where military advantage, industrial capacity, technological leadership and geopolitical influence all converge.

That is exactly why Communist China is openly targeting a crewed lunar landing by 2030 and an International Lunar Research Station with Russia by 2035. This is a contest for position. The nation that gets there first will shape far more than headlines. It will shape the future balance of power.

The genius of Artemis is that it is not a purely governmental effort. It is a public-private partnership designed to harness exactly what America does best: entrepreneurial innovation, private-sector speed and allied cooperation.

ASTRONAUT TELLS CNN 'ENTIRE' TRUMP ADMINISTRATION DESERVES CREDIT FOR ARTEMIS MISSION SUCCESS

NASA provides the anchor mission and strategic architecture. The broader design relies on commercial firms and friendly nations, and SpaceX and Blue Origin are central to the landing architecture.

In the first space race, Apollo demonstrated to the world that America could outbuild, outthink and outlast its authoritarian rival. It also accelerated key technologies — microelectronics, computing, materials science, telecommunications, precision manufacturing, propulsion and guidance systems — strengthened our defense industrial base and renewed confidence in the nation’s capacity to build and win.

In this second contest, Artemis is teaching us something essential about the nature of deep space exploration. Human beings still matter.

ARTEMIS II LAUNCHES ASTRONAUTS AROUND THE MOON IN FIRST DEEP SPACE MISSION SINCE APOLLO

NASA did not send four passengers around the moon. It sent trained observers — the eyes of our lunar scientists on Earth. During the far-side flyby, the crew photographed and described impact craters, ancient lava flows, cracks and ridges and subtle differences in color, brightness and texture that help scientists read the moon’s geologic history.

Artemis II proved something larger than engineering as well. It reminded the world that America can still do difficult things in full public view. Fox’s own coverage gravitated to the defining images of the mission — Earthset, the far-side blackout and Trump’s call hailing the crew as "modern-day pioneers."

Artemis is not just exploration. It is strategic theater, alliance management and rule-setting in real time. In that sense, it is Trumpian.

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The mission also underscored a harder truth: serious space programs are built on mastery of the unglamorous. Coverage lingered on the blackout behind the moon. But a permanent lunar presence will depend less on spectacle than on whether America can master sanitation, stowage, cabin atmosphere, suit operations, radiation sheltering, emergency procedures, precise communications, reentry and recovery.

Great powers do not stay on the moon by getting the photo. They stay there by making the plumbing, the procedures and the ride home work.

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What’s next? Bank the data, incorporate the lessons of the flight and move fast. Fly Artemis III in 2027 as the Earth-orbit systems test for the commercial landers and the new lunar suits. Then use Artemis IV in 2028 to put Americans back on the lunar surface. After that, keep a real cadence — at least one surface mission every year and eventually faster if the architecture holds and reusable commercial hardware matures as planned.

What Washington must supply is speed, money and resolve. Because if America treats Artemis like just another program to be managed, we may yet live to see a red moon rising.

Peter Navarro is co-author with Greg Autry of "Red Moon Rising."

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Humanoid robots hit mass production in China

Thu, 09 Apr 2026 13:00:44 -0400

For years, humanoid robots felt like something you watched on social media. Impressive, yes. Practical, not quite. That line just got blurry.

A new factory in China is now producing humanoid robots at a pace that feels closer to car manufacturing. One robot rolls off the line every 30 minutes.

That adds up to about 10,000 units a year. This is not a prototype phase anymore. This is real production.

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Inside China's humanoid robot factory

The production line comes from a partnership between Leju Robotics and Dongfang Precision Science & Technology. What makes this facility stand out is how structured and repeatable the process has become.

There are 24 precision assembly stages. On top of that, 77 inspection steps check everything before a robot leaves the line. That level of testing matters because reliability has always been a weak spot for humanoid machines. Efficiency also jumped. The company says output improved by more than 50 percent compared to older production methods.

Then there is flexibility. The system can switch between robot models without shutting everything down. That means the same factory can serve multiple industries, from automotive to home appliances. This is how you move from cool tech to actual business.

Why humanoid robot production at 10,000 units matters

The robotics industry has reached a turning point. It is no longer enough to show what a robot can do. Companies now need to prove they can build them at scale.

That shift is showing up across the market.

Agibot has already hit 10,000 units
Unitree Robotics is planning a major expansion with new funding
UBTECH Robotics is working to lower costs to below $20,000 per robot

Investors are watching production numbers closely. High output signals that a company can move beyond demos and into real deployment. It also shows confidence that there will be actual demand.

US TARGETS CHINESE ROBOTS OVER SECURITY FEARS

The shift to large-scale humanoid robot manufacturing

There is another important change here that is easy to miss. Companies are splitting roles. In this case, Leju Robotics focuses on design and software. Dongfang Precision Science & Technology handles production and scaling. This model looks a lot like how other tech industries evolved. One group builds the brain. Another builds the product at scale. That separation could speed things up across the entire robotics space.

What is still holding humanoid robots back

Even with all this progress, one big problem remains. Software. Building the body is getting easier. Teaching it how to function in the real world is still difficult. Homes, warehouses and public spaces are unpredictable. Objects vary in shape. Lighting changes. Tasks that seem simple for humans can confuse a machine. Factories can now produce thousands of robots. That does not guarantee those robots will be useful right away. The pressure is shifting toward AI developers to close that gap.

What this means to you

This might feel far removed from everyday life. It is not. As production ramps up, costs usually come down. That opens the door for more businesses to adopt humanoid robots. You could start seeing them in warehouses, retail environments or service roles sooner than expected. At the same time, this raises questions about jobs, safety and how comfortable people feel interacting with machines that look and move like humans. The speed of this shift is what stands out. What felt experimental last year is now moving toward mainstream deployment.

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ARE ROBOTS COMING TO A MCDONALD’S NEAR YOU?

Kurt's key takeaways

Humanoid robots are entering a new phase. The conversation is no longer about whether they can be built. It is about how quickly they can be produced and where they will actually work. Factories like this one in China are setting the pace. Now the rest of the industry has to keep up.

If humanoid robots become common in workplaces, where would you draw the line between helpful automation and going too far? Let us know by writing to us at Cyberguy.com.

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Humanoid robot shows speed and real skill

Sun, 05 Apr 2026 07:55:14 -0400

By now, you've no doubt seen humanoid robots run, flip and pull off impressive stunts in recent years. That alone is no longer the headline. What stands out here is how controlled and repeatable the movement appears in a non-lab setting.

Engineers at Korea Advanced Institute of Science and Technology, also known as KAIST, built a humanoid that runs, jumps and even moonwalks with smooth control. In a recent field test, the robot sprinted across a soccer field, kicked a ball toward the goal and changed direction without hesitation.

That is the real shift. It is not about pulling off one impressive move. It is about doing it over and over without missing a beat.

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What makes this humanoid robot feel more human

At about five foot five and 165 pounds, this machine was designed to move fast without losing balance. The team, led by Hae-Won Park, focused on building everything from scratch instead of relying on off-the-shelf parts.

That decision pays off. By designing their own motors, gear systems and controllers, the engineers could fine-tune how power flows through the robot's body. The result is better torque and faster response when it needs to react in real time.

One standout feature is its Quasi-Direct Drive system. It pairs strong motors with low gear ratios, which helps the robot respond quickly while staying stable. A compact gearbox design also keeps the system lighter and more efficient.

All of that adds up to performance you can see. The robot can run up to about 7.3 miles per hour and climb steps taller than a foot. That is already impressive, and the team is working toward even higher.

Why the robot's movement looks so natural

Speed alone does not make a robot feel realistic. Movement quality matters just as much. This is where Physical AI comes in. Instead of simply following pre-programmed steps, the robot learns how to move in ways that match real human motion.

Researchers trained it using deep reinforcement learning combined with human movement data. That training happened in simulation first, then carried over to the real world. The payoff is clear. Movements look fluid instead of robotic. Transitions between actions feel smoother. Even complex motions like dancing or kicking a ball appear controlled rather than forced.

Another interesting detail is how the robot navigates. It can move across uneven terrain using internal sensing, also called proprioception, without relying on cameras. That opens the door for use in environments where visibility is poor.

How this humanoid robot could work in real jobs

It is easy to watch a robot moonwalk and think this is just a cool demo. The reality is more practical. The research team is working toward a full humanoid system that can operate in real workplaces. That includes climbing ladders, handling tools and adapting to unpredictable environments. They are also developing a system called DynaFlow. The goal is to let robots learn directly from human demonstrations. In simple terms, a worker could show a task once, and the robot could learn to repeat it. That kind of learning could reshape how automation works across industries.

AI ROBOT NOW HELPS TRAVELERS AT SAN JOSÉ AIRPORT

What this means to you

You may not be buying a humanoid robot anytime soon, but this shift is closer to your daily life than it sounds. Robots are getting much better at moving in the real world. That means they can start taking on work that used to be too complex for machines. Think of jobs that require balance, quick reactions or constant adjustment.

As a result, industries like construction, manufacturing and logistics could start using humanoid robots more often. These are environments where flexibility matters, and that is exactly what this new generation is built for. At the same time, more everyday tasks are becoming possible to automate. Not just repetitive work, but physical work that once required human coordination and judgment.

All of this points to a bigger change. The line between human work and machine assistance is starting to blur, and that will shape how many jobs look in the years ahead.

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Kurt's key takeaways

The KAIST humanoid is not just about speed or flashy moves. It reflects a bigger change in how robots are built and trained. By combining custom hardware with smarter AI, researchers are pushing machines closer to human-like capability. That does not mean robots are replacing people tomorrow, but it does mean the pace of change is picking up. When a robot can run, adapt and move naturally, it becomes useful in ways older machines never could.

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If robots can soon learn tasks just by watching us, how comfortable are you with sharing your work with a machine that might one day do it better? Let us know by writing to us at Cyberguy.com

Palantir CTO warns US has only 'eight days of weapons' in hypothetical battle against China

Wed, 01 Apr 2026 07:00:43 -0400

The U.S. is wrong about military deterrence, according to Palantir CTO Shyam Sankar. America relies on the threat of its large weapons stockpiles to discourage aggression, but Sankar says the real deterrent is production capacity — "the ability to generate the stockpile."

In an exclusive interview with Fox News Digital, Sankar argued that artificial intelligence could help the United States rebuild manufacturing strength, outproduce adversaries and restore its edge over global rivals like China, ideas he expands on in his new book, "Mobilize: How to Reboot the American Industrial Base and Stop World War III."

To Sankar, the conflict in Ukraine is proof that the U.S. "is getting the calculus of deterrence wrong."

"We thought it was the stockpile that would provide deterrence. And what Ukraine showed us, because we went through 10 years of production in 10 weeks of fighting, is that actually, it's the ability to generate the stockpile. It's the factory," he said.

CHINA RACES AHEAD ON AI —TRUMP WARNS AMERICA CAN'T REGULATE ITSELF INTO DEFEAT

"And we have been producing so few weapons at such a small rate that actually, it's not effectively scary to anyone. We're both precious about using them and worried about rebuilding them."

He claimed that, if it came to an intense battle against China, the United States would have around eight days' worth of weapons on hand.

"That is not scaring the adversary," he said.

Sankar pointed to World War II as an example of this. Germany was able to build more sophisticated weapons than America, but in much smaller quantities, he said.

"In the present moment, the Chinese are the best at mass production. And now we look like the Germans."

PALANTIR CTO SHYAM SANKAR: THE AMERICAN PEOPLE ARE BEING LIED TO ABOUT AI

But if AI could be used "to give the American worker superpowers," he said, the imbalance could be corrected and America could retake the lead. He contended that China has made a grave error in its assessment that the U.S. is a nation in decline.

"The No. 1 thing that China is getting wrong is they're underestimating the American spirit. In our kind of Judeo-Christian tradition, we start by turning the other cheek over and over and over again. But at some point, we will snap."

Sankar said there are lessons to be learned from China's military posture, but the most important one is recognizing that innovation goes hand in hand with productivity.

"The central lie of globalization is that we can do the innovation and other folks are going to do the production. But if you do that for long enough, what you realize is that they work their way up the stack," he told Fox News Digital.

AMERICA’S ‘UNDECLARED EMERGENCY:’ PALANTIR EXEC TALKS IRAN, DEADLY NEW US WEAPONS AND HOW TO AVOID WORLD WAR 3

Put simply, Sankar argued that the people building any given technology day after day are the ones who will discover where there is room for increased efficiency and improvements. Offshoring manufacturing has deprived Americans of that stimulus, he said.

Sankar gave China credit for its long-term planning, claiming that it has been investing in closing the gap between its military and America's since the first Gulf War. He said China hasn't attempted to hide these investments, but due to the slow speed of progress, the U.S. hardly takes note.

AI, then, can give America the edge once more, because China could not have planned for it. Sankar advocated for reshoring industrial development, but not solely for the purpose of bringing rote manufacturing processes to American soil. He asserted that this is the key to strengthening America's national security and spirit of invention.

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"We're not going to re-industrialize symmetrically," Sankar said. "We're not just going to take the things they're doing as they're doing them and bring them here. No, we're going to do them in entirely different ways that help us close the business case on bringing all of these capabilities in production back home."

Air taxis in the US could launch this summer

Wed, 25 Mar 2026 09:51:32 -0400

For years, air taxis felt like one of those "almost here" technologies. You have seen the sleek designs. You have heard the promises. Quiet flights. Lower costs. No traffic. And yet, nothing.

Now, that might actually change. A new federal push could put electric air taxis in the sky as early as this summer. Not everywhere. Not at full scale. But in enough places to make this real for the first time. This is the first program of its kind designed to bring air taxis into everyday U.S. airspace.

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What exactly is an air taxi?

An air taxi, also called an eVTOL, is a small electric aircraft that can take off and land vertically. Think helicopter without the noise and cost. These aircraft are designed to move people short distances across cities or regions. You could skip traffic entirely and fly from one part of a city to another in minutes.

The pitch is simple:

Faster than driving
Cheaper than helicopters
Cleaner than traditional aircraft.

It sounds great. But getting there has been anything but simple.

Why air taxis are still waiting on FAA approval

The biggest hurdle has not been technology. It has been regulation. The FAA requires commercial aircraft to meet extremely high safety standards. We are talking about failure rates closer to commercial airlines than cars.

That creates a problem. Traditional aircraft follow well-known designs. eVTOLs are completely new. They take off vertically, then transition into forward flight. That adds complexity and risk.

Companies like Joby Aviation, Archer Aviation and others have spent years testing. Some have logged thousands of flights. Still, full approval has remained just out of reach.

How the FAA is fast-tracking air taxis in the U.S.

Now comes a major shift. The government has launched a new initiative called the eVTOL Integration Pilot Program. The goal is to speed things up without lowering safety standards.

Instead of waiting for full nationwide approval, companies can begin limited operations in specific areas. This rollout breaks from the old all-or-nothing approval model. Instead of waiting years for full certification, companies can now prove safety in real-world conditions and expand from there.

Eight pilot programs have been approved across the country, including:

New York and New Jersey, with flights from Manhattan heliports
Texas connecting cities like Dallas, Austin and San Antonio
Florida testing passenger flights, cargo and medical use
North Carolina and Virginia are exploring autonomous operations.

PRIVATE AUTONOMOUS PODS COULD REDEFINE RIDE-SHARING

These pilot programs span 26 states, creating one of the largest real-world test environments for next-generation aircraft. These aircraft will not just carry passengers. They will support cargo delivery, emergency medical response and regional transportation. Data from these pilot programs will help the FAA create new rules to safely expand air taxi use nationwide. That last part matters more than it seems.

"This is the clearest sign yet from the White House, the FAA and the DOT that bringing air taxis to market in the United States is a real priority," said Adam Goldstein, founder and CEO of Archer. "We appreciate Secretary Duffy and Administrator Bedford's leadership and are excited to bring Midnight to the skies of some of America's largest cities."

Why air taxis are part of a U.S. vs China aviation race

This push is not only about getting you across town faster. It is also about keeping up. China has already moved ahead in drones and air mobility. Companies there have been running real commercial passenger flights since 2023.

Meanwhile, drones have changed modern warfare and logistics. They are cheap, effective and scalable. The U.S. wants to lead again. That means accelerating innovation across civilian and military systems. Air taxis are one piece of that bigger strategy.

The autonomy factor no one is talking about enough

Here is where things get even more interesting. Many of these aircraft are designed to become autonomous. At first, you will likely see pilots on board. But long-term, the goal is to remove them. Why? Pilots add weight. They increase the cost. They limit scalability.

Companies are already testing highly automated systems that can handle complex flight decisions in real time. That means the version of air taxis you see in the next few years may not be the final version.

What this means for you

This is where it gets real. Air taxis will not replace your car overnight. But they could start changing how you think about getting around. Here is how it could impact you:

Shorter commutes in crowded cities

If you live near a major metro area, you may soon have a new option that cuts travel time dramatically.

Faster emergency response

Medical flights and disaster response could become quicker and more efficient.

New pricing models for travel

At first, rides may feel premium. Over time, prices could drop closer to rideshare levels.

More automation in transportation

If air taxis go autonomous, it signals a bigger shift across all forms of travel.

New safety questions

Faster rollout means regulators and companies will need to prove these systems are safe in the real world.

NEW YORK HALTS ROBOTAXI EXPANSION PLAN

So when will you actually be able to ride one?

The timeline is finally getting clearer. You may start seeing limited operations as early as summer 2026. That does not mean you can open an app and book a flight right away.

Early access will likely focus on:

Specific routes
Controlled environments
Pilot programs with limited passengers.

But once that door opens, expansion tends to move quickly. We saw it with rideshare. We saw it with electric vehicles. This could follow the same path.

"The first time I saw a Waymo on the road in San Francisco, it was a big deal. Now, self-driving cars are just part of everyday life there. I believe the eIPP will do the same thing for air taxis. Every safe flight builds towards public acceptance, and we need to build that acceptance in parallel with our certification efforts," said Adam Goldstein, CEO of Archer.

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Kurt's key takeaways

Air taxis have lived in the "almost here" category for a long time. Now, they are stepping into reality. There are still real challenges ahead. Safety, cost and infrastructure all need to catch up. But this new approach changes the pace of progress. Instead of waiting for perfection, the industry is moving forward in controlled steps. And once people experience this kind of travel firsthand, expectations will shift fast.

If you could skip traffic and fly across your city in minutes, would you try it... or wait until everyone else goes first? Let us know by writing to us at Cyberguy.com.

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Atlanta tests driverless pod transit loop

Mon, 23 Feb 2026 10:44:27 -0500

If you have ever sat in traffic staring at brake lights and questioning your life choices, this story will hit home.

South Metro Atlanta is becoming the first place in the world to publicly test Glydways’ Automated Transit Network in live passenger service. The idea sounds simple. Put small electric vehicles on their own narrow guideways. Keep them out of mixed traffic. Use AI to coordinate everything. The promise? Rail level capacity at bus fare prices without decade-long construction headaches.

That is a bold claim. So let's unpack it.

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WAYMO’S CHEAPER ROBOTAXI TECH COULD HELP EXPAND RIDES FAST

What is the Atlanta automated transit network pilot?

The pilot is a 0.5-mile dedicated guideway connecting the ATL SkyTrain at the Georgia International Convention Center to the Gateway Center Arena. It will launch as a free public test service in December 2026.

Instead of buses weaving through traffic or trains stopping at every platform, Glydways operates small electric passenger pods on a private lane. Riders request a trip through an app, and within minutes, a pod arrives. From there, passengers travel directly from point A to point B with no intermediate stops. That means no fighting SUVs, no getting stuck behind a delivery truck and no red lights.

Because the vehicles run on their own guideway, they maintain consistent speeds in tight formations. As a result, the company says the system can move up to 10,000 people per hour on a guideway just over six feet wide. If those numbers hold up in real-world testing, the system could carry as many people per hour as a light rail line.

Why South Metro Atlanta was chosen for the pilot

This location was not random. A 2019 feasibility study from the ATL Airport Community Improvement Districts identified the airport area as a 24-hour mobility district with serious first- and last-mile gaps. In plain terms, people can get close to where they need to go. They just cannot easily get that last leg of their trip. That affects workers, convention visitors and arena guests. It also affects underserved communities that struggle to connect to jobs and transit.

So the pilot serves as a controlled environment. Demand is predictable. Distances are short. Plus, stakeholders such as MARTA, Fulton County and Clayton County are already involved and on board. If it works here, expansion could follow.

How Atlanta's driverless pod system differs from robotaxis

You may be thinking, "We already have autonomous vehicles." True. Companies like Waymo run driverless cars on public roads. But Glydways argues that putting autonomous vehicles into existing traffic does not solve congestion. In some cases, it makes it worse. The key difference here is separation.

These pods do not mix with regular traffic. They run on purpose-built guideways with controlled access. That allows tighter spacing, predictable speeds and lower maintenance. In other words, it is more like a lightweight rail system without the heavy rail infrastructure.

Can the economics of the Atlanta transit pilot work?

Technology is not the hard part. Autonomous vehicles on dedicated lanes are fairly straightforward engineering. The real question is cost.

Traditional rail projects can run into the hundreds of millions or even billions of dollars. They often take years to build. Glydways claims its infrastructure deploys faster and cheaper, though specific Atlanta construction costs have not been disclosed.

Operational costs also stay lower because there are no drivers, vehicles are electric, and the guideway environment reduces wear and tear. The company says unsubsidized bus fare pricing is core to its model. While that sounds great on paper, the Atlanta pilot will show whether the math works in practice.

THE ROBOTAXI PRICE WAR HAS STARTED. HERE’S EVERYTHING YOU NEED TO KNOW

Atlanta Transit pilot timeline and what happens next

Construction began in early 2026. Guideway installation, vehicle testing and system commissioning are underway. Passenger service is scheduled for December 2026.

By 2027, the goal is a fully operational South Metro pilot delivering real-world data and rider feedback. A feasibility study led by MARTA will then evaluate whether expansion across the broader Atlanta region makes sense.

If successful, future routes could connect airports, suburban corridors and high-traffic districts where rail is too expensive.

Why the Atlanta automated transit network matters beyond Georgia

Traffic congestion is not just an Atlanta problem. It is a global one. Glydways has signed agreements in Dubai and Abu Dhabi and has held discussions in Tokyo, Florida, California and New York. South Metro Atlanta is the global proving ground.

If this pilot demonstrates reliable performance, strong rider adoption and sustainable economics, other cities will take notice. If it fails, critics will point to it as another ambitious transit experiment that looked better in a PowerPoint deck than on the street.

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TRANSIT FUNDING HITS RECORD HIGHS AS RIDERSHIP LANGUISHES, NEW REPORT QUESTIONS RETURN ON BILLIONS

Kurt's key takeaways

Atlanta drivers know congestion is not going away on its own. Adding lanes rarely solves the problem. Traditional rail is expensive and slow to deploy. So cities are searching for net new capacity. Something that expands mobility without competing with what already exists. This pilot represents a serious attempt to rethink public transit from the ground up. It blends private lanes, electric vehicles and AI coordination into something that sits between bus and rail. Now the spotlight is on South Metro Atlanta. Will this be the beginning of a scalable new transit model or another well-intentioned experiment that struggles once real-world economics kick in?

If a driverless pod could pick you up on demand and bypass traffic entirely, would you trust it with your daily commute? Let us know by writing to us at Cyberguy.com.

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China's robotics giant puts 200 robots to the test

Fri, 20 Feb 2026 08:33:09 -0500

A Chinese robotics company recently did something most tech firms would never dare attempt. Agibot put more than 200 robots on stage for a live one-hour televised event called Agibot Night.

The gala took place in Shanghai ahead of the Chinese Lunar New Year, which gave the production cultural weight as well as technical significance. According to the company, it was the world's first large-scale live event fully led by humanoid robots.

Throughout the show, the machines danced, boxed and performed martial arts. They also walked the runway in synchronized fashion routines, while some executed Shaolin-style stances and others handled acrobatic sequences using props such as fire torches. Even the audience was made up entirely of robots, which reinforced the scale of the production.

At first glance, it felt like pure entertainment. However, the event functioned as a high pressure systems test playing out in public.

WORLD'S FASTEST HUMANOID ROBOT RUNS 22 MPH

Why stage a robot gala?

At first glance, the event looked like a flashy product showcase. In reality, it functioned as a real-world stress test for Agibot humanoid robots. In controlled lab environments, engineers can pause a machine, adjust parameters and try again. Live television does not offer that luxury. A stumble, a delay or a synchronization error would have unfolded in front of a global audience.

By running complex choreography for an hour straight, Agibot tested balance, motor control, battery endurance and multi-robot coordination under pressure. Sustained dance routines, martial arts sequences and synchronized formations push hardware and software in ways short demos never do. Some segments even included card magic performed jointly with human magicians and floating illusion acts executed entirely by robots, adding another layer of complexity to the live show.

The company described the event as a milestone for embodied intelligence, moving from experimentation into social and cultural spaces. It also positioned the gala as proof of system-level reliability and a showcase of its broader product ecosystem. Strip away the marketing language, and the message is clear. These robots are no longer lab prototypes. They are entering large-scale production.

The robots behind the performance

Agibot's G2 humanoid robots handled the bipedal routines. They executed synchronized dance sequences, high-speed spins and coordinated formations. These movements require precise joint control and real-time sensor feedback. The company's D1 quadruped robots added dynamic stability to the lineup, showcasing agility and terrain adaptability.

The stage also featured Agibot's broader humanoid portfolio, including the full-sized A2 Series built for multimodal interaction and navigation, and the compact X2 Series designed for natural conversation and expressive movement.

In some segments, human dancers performed alongside the robots. The timing and alignment happened live, demonstrating how closely robotic motion can mirror human movement. One of the most talked about moments came from Elf Xuan, an ultra-realistic humanoid developed by AheadForm. During a singing performance, its facial expressions appeared strikingly lifelike, showing how expressive robotics continues to evolve.

Even the comedic skits showed real progress. Several humanoids shared the stage, responded to each other and stayed on cue. When robots can handle timing and interaction like that, it signals that the underlying systems are becoming more stable and coordinated.

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Agibot humanoid robots lead global shipments

Agibot is not a small player testing ideas on the sidelines. According to research firm Omdia, the company led global humanoid robot shipments in 2025. It delivered 5,168 units out of roughly 13,000 shipped worldwide that year. For a company founded in 2023 in Shanghai, that is a strong position in a fast-moving market.

Shipment totals show demand. However, a live event like Agibot Night shows confidence. When robots perform for an hour straight, there is nowhere to hide. Motors heat up. Sensors can drift. Software can glitch. When hundreds of machines move in sync, even small issues stand out immediately.

By putting its robots on display ahead of a major national holiday, Agibot reinforced the idea that its humanoid robots have moved beyond experimentation and into scaled production.

Several segments also placed AGIBOT robots alongside well-known consumer and lifestyle brands, signaling the company's ambition to integrate humanoids into commercial and consumer-facing environments.

This was not the first time humanoid robots appeared in a major Chinese celebration. Unitree robots performed alongside human dancers at China Central Television's Spring Festival Gala. Agibot's event dramatically expanded that concept by scaling to more than 200 robots in a single coordinated production.

A shift in how robots are introduced

For years, humanoid robotics advanced behind closed doors. Progress showed up in research papers, factory trials and controlled demos. Agibot chose a different approach. Instead of presenting technical specifications at a trade show, it turned engineering validation into a live cultural event.

That strategy changes perception. When robots perform dance routines, hold martial arts stances or coordinate fashion walks in front of a broadcast audience, they feel less like prototypes and more like machines designed for real-world environments. This does not mean humanoid robots will suddenly appear in every shopping mall. However, it does show the industry is accelerating toward greater public visibility. The more often people see robots operate in shared spaces, the more normal that presence becomes.

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HUMANOID ROBOTS ARE GETTING SMALLER, SAFER AND CLOSER

Kurt's key takeaways

Agibot Night put the technology on display in the most public way possible. More than 200 robots performed demanding routines for a full hour under broadcast conditions. That leaves little room for mistakes. Pair that performance with leading global shipment numbers, and the direction becomes clearer. Agibot is pushing hard to show its humanoid robots are ready for larger roles and wider deployment.

So here is the question. If robots can execute synchronized martial arts routines, handle props like fire torches and stay coordinated for a live televised gala, how long before seeing one at work, in a store or at a public event feels completely normal to you? Let us know by writing to us at Cyberguy.com.

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Wearable robotics are changing how we walk and run

Mon, 16 Feb 2026 12:30:11 -0500

When you hear the word robotics, you probably think of factory machines or humanoid robots sprinting across a test track. That image makes sense. For years, robotics lived in labs and industrial spaces.

But a quieter shift is happening much closer to home. It is happening around your ankles, knees and hips. Wearable robotics are moving out of research labs and into everyday life. From powered shoes to lightweight exoskeletons, this new wave of assisted movement technology is becoming a real consumer category.

The goal is not to replace your effort. It is to support it. And that shift is bigger than any single brand.

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From elite athletes to everyday use: the shift in wearable robotics

For years, sports innovation focused on speed. Lighter foam. Carbon plates. Better traction. Most of those gains targeted elite competitors. Now the focus is expanding beyond race day. Nike's Project Amplify, developed with robotics partner Dephy, is one example. The system pairs a carbon plate inside the shoe with a motorized cuff worn above the ankle. Sensors track stride patterns in real time, and the cuff provides subtle forward assistance designed to feel smooth and natural. Instead of forcing movement, it learns it.

Earlier attempts at powered footwear struggled because batteries and motors were too heavy to sit inside a shoe. The result felt awkward and unbalanced. Modern designs solve that problem by moving energy storage above the ankle or to the hips. By shifting weight higher on the leg, engineers reduce strain on the foot and improve balance.

Battery improvements and smarter motion sensors also play a role. Today's systems adapt to your stride in real time, making assisted movement feel less like equipment and more like an extension of your body. The company has said it is targeting a commercial release around 2028. But Nike is not alone in this space.

Powered footwear and exoskeletons are entering the consumer market

If you have ever felt your legs get heavy halfway through a long walk, you understand why this category exists. Maybe it is a trip through the airport, a walk around the neighborhood or a few flights of stairs that feel steeper than they used to. Most people are not trying to run faster. They just want to move without feeling worn out. That is where wearable robotics are starting to show up. Companies are building products meant for real people, not just elite athletes or lab testing.

Early consumer exoskeletons for outdoor movement

The Hypershell X is one example. It is a lightweight outdoor exoskeleton designed for hikers and long-distance walkers. The system wraps around the waist and legs and uses small motors to reduce fatigue on climbs and uneven terrain. The goal is straightforward. Help you go farther without feeling drained halfway through the trail. Hypershell also introduced the X Ultra, a more powerful version built for steeper terrain and longer outings. It delivers stronger assist levels while staying compact enough to wear under standard outdoor gear. Both models are designed for recreational users who want endurance support, not medical treatment.

Dnsys has also introduced the X1 all-terrain exoskeleton. The hip-mounted system is marketed to hikers and outdoor enthusiasts who want help reducing fatigue on climbs and long treks. Unlike lab prototypes, the X1 has been sold through crowdfunding and direct online orders, making it one of the early consumer entries in this space.

Wearable robotics designed for everyday walking

Another example is WIM from WIRobotics. This wearable robot weighs about 3.5 pounds and supports natural hip movement while walking. It is meant for older adults, active adults and people recovering from minor injuries who want extra assistance without wearing something bulky or clinical looking.

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From medical exoskeletons to consumer devices

The medical side of wearable robotics has been evolving even longer. Companies like Ekso Bionics and ReWalk have developed powered exoskeletons that help people with spinal cord injuries or stroke stand and walk. These systems are used in rehabilitation clinics and in select personal mobility programs. They show how wearable robotics first proved themselves in medical settings before gradually influencing consumer designs.

These products vary in power, price and purpose. What connects them is a shared direction. Wearable robotics are beginning to actively assist movement, not just track it.

How wearable robotics help reduce fatigue and movement hesitation

Here is something people rarely admit. It is not always an injury that stops movement. It is hesitation. Many people worry about knee pain creeping in halfway through a walk. Others fear running out of energy before they make it home. Some quietly stress about slowing everyone else down.

Those doubts shorten walks and cancel runs long before physical limits do. Wearable robotics hopes to close that confidence gap. By reducing fatigue and supporting joints, assisted movement systems can make activity feel realistic again for people who might otherwise skip it. Effort does not disappear. The barrier to starting simply becomes lower.

Powered footwear and wearable robotics support natural movement

A better comparison might be e-bikes. Electric assistance did not eliminate cycling. Instead, it expanded who felt comfortable getting on a bike in the first place. Powered footwear and wearable robotics could have a similar effect on walking and running. In practical terms, that might look different for different people.

Some commuters could replace short car trips. Older adults might stay active longer without feeling as worn out. Casual runners could finish a workout with energy to spare instead of dragging through the final mile. In other words, this shift is not about creating super athletes. It is about widening the circle of people who feel capable of participating.

What this means to you

You may never strap on a powered exoskeleton. You may not be waiting for motorized shoes to hit stores in 2028. But this shift still matters. If walking a long trail leaves your knees aching, or if you skip runs because you worry about burning out halfway through, this kind of technology is being built with you in mind. The goal is not to turn anyone into a super athlete. It is to make movement feel more doable.

For some people, that could mean walking an extra mile without thinking twice. For others, it might mean keeping up with friends, staying active longer or feeling a little less hesitant about getting started. Wearable robotics are changing the conversation. Instead of asking how fast you can go, the question becomes simpler. How comfortable do you want to feel while moving? And that is a very different way to think about fitness.

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Kurt's key takeaways

Wearable robotics systems are still in the early stages of consumer adoption. Most powered footwear and exoskeleton systems remain expensive and limited in availability. But the direction is clear. Technology is shifting from tracking your performance to actively supporting it. That is a meaningful change. If assisted movement becomes as common as smartwatches or fitness trackers, it could reshape how people think about aging, endurance and daily mobility. Walking farther may feel realistic again. Running may feel less intimidating. Staying active later in life could become more achievable for millions. The real question is not whether wearable robotics will improve. They will. The bigger question is how we choose to use them.

If wearable robotics can help you walk and run with less strain, would you try them, or would you rather rely only on your own effort? Let us know by writing to us at Cyberguy.com.

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Amtrak adding over 80 new trains in massive overhaul of fleet; travelers react

Sat, 14 Feb 2026 17:20:20 -0500

Amtrak is rolling out a new fleet of passenger trains this summer, replacing rail cars that in some cases have been in service for nearly 50 years.

The new trains, known as Airo, are part of an $8 billion order for 83 trains built by Siemens in California and mark the largest fleet replacement since Amtrak was founded in 1971, according to multiple reports.

"These trains represent the next step in Amtrak's modernization of our entire fleet," Amtrak President Roger Harris said at an event introducing the fleet. "They are made right here in America by America for Americans," he added.

The overhaul comes amid record ridership for Amtrak, with 34.5 million passenger trips in 2025, the company announced late last year. The new trains are intended to modernize service across several major corridors, beginning with the Pacific Northwest.

The first Airo trains are expected to enter service this summer on the Amtrak Cascades route, which runs between Seattle; Portland, Oregon; Vancouver, British Columbia; and Eugene, Oregon. Eight train sets are slated for the Cascades.

Additional Airo trains will eventually operate on East Coast routes, including the busy Northeast Regional line, with testing expected to begin later this year and passenger service projected for 2027.

For travelers, the most noticeable changes will be inside the cars.

The redesigned interiors feature larger windows, brighter lighting and overhead digital screens displaying route information. Each seat will include a standard power outlet and USB-C port, along with individual reading lights, adjustable headrests and larger tray tables, according to a news release.

In coach, seats are arranged two on each side of the aisle, while business class features a two-and-one layout with wider seats and more legroom.

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Instead of reclining backward in the traditional sense, the new seats slide forward as they change angle, a design that has drawn mixed reactions from some early reviewers.

"Unfortunately, rather than recline, the bottom of the seats slide forward similar to those on the NextGen Acela trains," a review by The Points Guy noted. "This results in less legroom when 'reclined,' and some taller travelers may find it uncomfortable."

"The thing that I was disappointed about but then sort of reassured about is the recline on the seats," rail and transit content creator Alan Fisher said in a YouTube video after touring the train.

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Fisher also highlighted the expanded overhead storage.

"We were surprised we had to argue for … overhead bin space," he said.

Accessibility upgrades are another major component of the redesign. The trains will include built-in motorized wheelchair lifts, wider aisles in select cars, accessible café cars and restrooms large enough for wheelchair users to turn around.

The trains will continue to operate at speeds up to 125 mph, meaning they are not classified as high-speed rail. However, Amtrak officials say certain routes could see time savings because the new locomotives can transition between diesel and electric power without requiring engine changes.

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The new fleet is designed to expand capacity, however. On the Cascades route, each Airo train will seat up to 300 passengers, compared with roughly 168 seats on current equipment, according to reports.

Amtrak has not announced any fare increases connected to the Airo fleet rollout, but some customers worry that the new, higher-end look and amenities could mean it will be more expensive, according to TheTravel.com.

"Looking at the size and room given for those seats along with the upscale appearance, the trip cost would have to be high for the train to cover its costs," one internet user speculated.

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A portion of the funding for the new fleet comes from the federal Infrastructure Investment and Jobs Act, Amtrak has said.

The rollout follows Amtrak’s debut of its NextGen Acela trains on the Northeast Corridor in 2025, reflecting a broader effort to modernize aging equipment across its national network.

China unveils the world’s largest flying car

Sat, 14 Feb 2026 08:07:39 -0500

China just sent a clear signal about where it believes air travel is headed next. A Shanghai-based aviation company called AutoFlight has unveiled Matrix, now recognized as the world's largest flying car. This is not a concept image or a brief hover test. Matrix has already completed successful flight tests near Shanghai, bringing real size and real ambition to an industry still dominated by small prototypes.

The launch also highlights China's push to dominate what it calls the low-altitude economy. That sector focuses on short-distance flights using electric aircraft to move people and cargo above busy roads.

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THE WORLD'S FIRST FLYING CAR IS READY FOR TAKEOFF

Matrix becomes the world's largest flying car

Matrix stands out immediately once you look at the specs. The aircraft weighs nearly 11,000 pounds. It measures about 56 feet long, stands roughly 11 feet tall and has a wingspan close to 66 feet. That makes it significantly larger than most flying cars currently under development. Most electric vertical takeoff and landing aircraft today focus on compact designs. Many seat four to six passengers and prioritize lightweight frames. Matrix takes a different approach. Its scale allows it to operate more like a true aircraft rather than a personal air vehicle.

Matrix comes in two versions. One supports passenger travel. The other focuses on heavy cargo transport. The passenger model can carry up to 10 people, which is well above the current industry norm. That added capacity matters. It improves efficiency, lowers cost per passenger and makes commercial operations far more realistic.

Why battery technology drives flying car progress

Size alone does not make Matrix possible, power does. AutoFlight receives backing from CATL, the world's largest electric vehicle battery manufacturer. CATL holds a significant stake in the company and supports battery research and development.

Battery performance affects nearly every part of electric flight. It shapes range, safety margins and payload capacity. Stronger batteries allow aircraft to fly farther while carrying more weight. In flying cars, that difference often separates experimental designs from aircraft ready for real-world service.

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China builds rules for the low-altitude economy

Matrix did not appear by accident. China is actively building a regulatory framework for the low-altitude economy. That includes standards for aircraft design, safety systems, air traffic control and supporting infrastructure. Officials plan to introduce baseline rules by 2027, with more than 300 detailed standards expected by 2030. These rules are meant to prepare cities for flying cars, cargo aircraft and air taxi services. While many countries still debate how electric air travel should work, China is already laying the foundation.

Cargo flights paved the way for passenger approval

Before shifting focus to passengers, AutoFlight proved itself with cargo. Its earlier aircraft, CarryAll, received full certification in China for design, production and airworthiness. It also completed a real-world cargo flight between two cities, covering about 100 miles in roughly one hour. That flight demonstrated practical use beyond test environments. It also helped build trust with regulators, which plays a critical role in approving passenger aircraft. Today, passenger travel has become the company's main focus. About 70 percent of AutoFlight's total orders involve passenger aircraft. Certification is still underway, but company leaders expect approval within one to two years. Orders are already being accepted for future delivery.

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How Matrix compares to smaller flying cars like Pivotal

Matrix represents one side of the flying car future. Smaller aircraft such as the Pivotal flying car, which we have covered previously, focus on personal flight and short-range travel. These designs emphasize simplicity, individual control and compact size. Matrix takes the opposite approach. It focuses on shared passenger travel and heavy cargo transport at scale. Together, these models show how the flying car market is splitting into two paths. One is personal air mobility. The other is commercial electric aviation. Both paths matter, but they solve very different transportation problems.

When passenger flying car flights could begin in China

Industry experts see 2026 as a pivotal year for flying cars in China. Several companies plan to begin deliveries, and China could see its first paid passenger flying car flights. New infrastructure, such as landing pads and charging stations, will support this growth. AutoFlight is also looking beyond China. Demand is strong in regions with limited transportation networks. Island nations, mountainous areas and remote regions stand out. The company sees Northeast Asia, Southeast Asia and the Middle East as key markets.

What this means for you

Flying cars still feel futuristic, but they are moving closer to everyday use. Early flights will likely focus on specific routes, cargo delivery, emergency services and premium passenger travel. Over time, costs could fall to levels similar to high-end ride services on the ground. Even if you never board one soon, this technology will shape logistics, emergency response and how cities plan transportation. It also shows how quickly electric aviation can advance when regulation, manufacturing and demand align.

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Kurt's key takeaways

Matrix is more than a big flying machine. It shows how fast flying car ideas are turning into aircraft that can actually be certified and used. China is moving from concepts to real operations step by step. Widespread use will take time, but the trend is clear. Electric flight is becoming practical, scalable and much harder to ignore.

What would need to happen for you to feel comfortable riding in a flying car, and would you try it if one launched in your city? Let us know by writing to us at Cyberguy.com

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World's fastest humanoid robot runs 22 MPH

Fri, 13 Feb 2026 12:30:50 -0500

A full-size humanoid robot just ran faster than most people will ever sprint.

Chinese robotics firm MirrorMe Technology has unveiled Bolt, a humanoid robot that reached a top speed of 22 miles per hour during real-world testing. This was not CGI or a computer simulation. The footage, shared by the company on X, shows a real humanoid robot running at full speed inside a controlled testing facility.

That milestone makes Bolt the fastest running humanoid robot of its size ever demonstrated outside computer simulations. For robotics, this is a line-crossing moment.

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What allows the world's fastest humanoid robot to run at 22 mph

In the promotional video, the run is shown using a split-screen view. On one side of the screen, Wang Hongtao, the founder of MirrorMe Technology, runs on a treadmill. On the other side, Bolt runs under the same conditions. The comparison makes the difference clear. As the pace increases, Wang struggles to keep up and eventually gives up, while Bolt continues running smoothly, maintaining balance as its stride rate increases.

Bolt takes shorter strides than a human runner but makes up for it with a much faster stride rhythm. That faster rhythm helps the robot stay stable as it accelerates. Engineers say this performance reflects major progress in humanoid locomotion control, dynamic balance and high-performance drive systems. Speed is impressive. Speed with control is the real achievement.

The humanoid robot design choices behind Bolt's speed

Bolt stands about 5 feet, 7 inches tall and weighs roughly 165 pounds, putting it close to the size and mass of an average adult human. MirrorMe says that similarity is intentional. The company describes this as the ideal humanoid form.

Rather than oversized limbs or exaggerated mechanics, Bolt relies on newly designed joints paired with a fully optimized power system. The goal is to replicate natural human motion while staying stable at extreme speeds. That combination is what sets Bolt apart.

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Why Bolt's sprint reflects years of robotics development

Bolt did not appear overnight. MirrorMe has focused on robotic speed as a long-term priority since 2016. Last year, its Black Panther II robot stunned viewers by sprinting 328 feet in 13.17 seconds during a live television broadcast in China. Reports suggested the performance exceeded comparable tests involving Boston Dynamics machines.

In 2025, the company also set a record with a four-legged robot that surpassed 22 mph, reinforcing its focus on acceleration, agility and sustained high-speed motion. China's interest in robotic athletics continues to grow. Beijing even hosted the first World Humanoid Robot Games, where humanoid robots competed in sprint races on a track.

Why MirrorMe says speed is not the end goal

Running at 22 mph grabs attention, but MirrorMe says speed alone is not the point. The engineers behind Bolt care more about what happens at that speed. Balance, reaction time and control matter more than a headline number. Those skills are what let a humanoid robot move like a trained runner instead of a machine on the verge of tipping over.

That is where the athlete angle comes in. MirrorMe envisions Bolt as a training partner that can run alongside elite athletes, hold a steady pace and push limits without getting tired. By matching and slightly exceeding human performance, the robot could help runners fine-tune form, pacing and endurance while collecting precise motion data. In that context, the sprint is not a stunt. It shows how humanoid robots could move beyond demos and into real training and performance settings.

What this means to you

Humanoid robots that can run at highway speeds are no longer something you only see in demos or concept videos. As these machines get faster and more stable, they start to fit into real-world roles. That includes athletic training, emergency response and physically demanding jobs where speed and endurance make a real difference. At the same time, faster robots bring real concerns. Safety, oversight and clear rules matter even more when machines can move this quickly around people. When robots run this fast, the limits need to be clear.

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Kurt's key takeaways

Bolt running at 22 mph is eye-catching, but the speed is not the main takeaway. What matters is what it shows. Robots are starting to move more like people. They can run, adjust and stay upright at speeds that used to knock machines over. That opens the door to real uses, but it also raises real questions. How fast is too fast around people? Who sets the rules? And who is responsible when something goes wrong? The technology is moving quickly. The conversation around it needs to move just as fast.

If humanoid robots can soon outrun and outtrain humans, where should limits be set on how and where they are allowed to operate? Let us know by writing to us at Cyberguy.com.

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Flying car now on sale for $190,000

Sun, 08 Feb 2026 07:01:02 -0500

A future with flying cars no longer lives just in concept videos. It now lives in Palo Alto, and if you have about $200,000 plus patience, you can reserve one today. The company behind that future vehicle is Pivotal, a California company that has quietly spent more than a decade turning a radical idea into a real aircraft. Its latest creation, called Helix, is now open for reservations, and delivery could be less than a year away. Yes, this is an actual flying car you can buy.

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How Pivotal turned a secret flying car into a real product

THE WORLD'S FIRST FLYING CAR IS READY FOR TAKEOFF

Pivotal's story started in 2009, when founder Marcus Leng began developing an electric aircraft that could take off vertically without gasoline. In 2011, Leng became the first person to fly the real thing. He called it BlackFly and worked on it quietly for years. By 2014, the company relocated to the Bay Area. In 2018, it finally stepped out of stealth and revealed BlackFly to the public. That second-generation design became the foundation for Helix, the aircraft Pivotal now offers for sale. Leadership shifted in 2022 when Ken Karklin took over as CEO. Under his watch, the company moved from experimental flights to customer reservations and structured training.

What the Pivotal Helix flying car actually is

Helix is a single-seat, electric vertical takeoff and landing aircraft, often called an eVTOL. Unlike helicopters, it has fixed wings, while traditional airplanes need a runway to get airborne. Instead, Helix takes off and lands vertically and runs entirely on electricity. As a result, it falls under the FAA's Part 103 ultralight category, the same regulatory class as a hang glider. That distinction matters because it means you do not need a pilot's license to fly it.

At about 355 pounds empty, Helix is designed to fly below 200 feet in unregulated airspace. It cruises at roughly 62 mph and offers around 30 minutes of flight time per charge. Meanwhile, charging takes about 75 minutes using a 240-volt outlet.

How much the Helix flying car costs to own

Helix starts at $190,000. Buyers can also add a transport trailer for $21,000 and a charger for $1,100. To reserve one, customers place a $50,000 deposit. According to Karklin, buyers who reserve today could receive their aircraft in nine to 12 months. Pivotal says it has already received more than a year's worth of reservations.

Pivotal says it does not publicly share exact sales figures, but the company says interest remains strong. "While Pivotal doesn't share specific order numbers, we have a healthy backlog of orders, and customers who place a deposit today can expect delivery within 9-12 months."

How long it takes to learn to fly the Helix

Training takes place at Pivotal's Palo Alto headquarters and at the Monterey Bay Academy Airport. The process includes passing the FAA knowledge test, completing ground school and learning how to control, maintain, transport and assemble the aircraft. Most customers complete training in under two weeks. More than 50 people have already been trained to fly Pivotal aircraft. Some are customers. Others are employees.

Why Pivotal says the Helix flying car is built for safety

Helix was designed with simplicity in mind. It has only 18 moving parts and relies heavily on redundancy to prevent system failures. The aircraft has been independently evaluated by the Light Aircraft Manufacturers Association, and Pivotal's quality management system has achieved AS9100D certification. Noise is another concern people often raise. During takeoff and landing, Helix sounds roughly like a couple of leaf blowers. Once airborne, people on the ground may not hear it at all.

Pivotal says years of real-world flight data across its fleet continue to shape how the aircraft performs. "Across our fleet, and including privately owned BlackFly aircraft, Pivotal eVTOLs have completed over 9000 flights to date — of those 2500+ have had a pilot onboard." That history, the company says, comes without safety incidents. "We have a flawless flight record and a flawless safety record." The company also points to what it has learned from connected aircraft systems. "We learn so much from these cloud-connected aircraft." According to Pivotal, that data has had a direct impact on the Helix design. "Most importantly, we have been able to enhance the experience, make flying simpler, safer and more enjoyable as we move into production."

Who is already flying Pivotal's flying cars today

A small group of early-access customers already owns and flies BlackFly aircraft, the predecessor to Helix. One of them is Tim Lum, a Washington state resident who bought his aircraft in 2023. Since then, Lum has completed about 1,200 flights in more than 100 locations across the U.S.

Despite not being an FAA-certified pilot, he regularly takes off and lands on private land with permission and uses small private airports. In addition, Lum tows the aircraft coast to coast and shares it with trained family members and friends. For him, flying is deeply personal. According to Lum, being in the air helps clear his mind and opens doors in ways money cannot.

To understand what it feels like to fly Helix for the first time, we asked Pivotal what new pilots say after their initial flights.

"First-time pilots – especially those without any aviation background – often talk about the unforgettable joy of their initial flight," a Pivotal spokesperson told CyberGuy. "The huge smiles on every face say it all." They say that excitement comes from more than simply being airborne. "They describe the thrill of being up in the air, feeling truly one with the aircraft, and seeing the world from an entirely new perspective." The company says many first-time pilots are also surprised by how the aircraft feels in flight. "Many are surprised by how freeing it feels to fly, particularly because sitting at the center of gravity creates a sensation unlike traditional airplanes – more balanced, more immersive and incredibly intuitive."

Not everyone is sold on flying cars

As with any new aircraft technology, concerns remain. Aviation groups have raised questions about crowded airspace and how communities will respond as more vehicles take to the sky. Pivotal says it approaches this differently than air taxi companies. While others focus on urban shuttles, Helix is built for single-person recreation, short-hop travel and specialized missions.

NEW PERSONAL EVTOL PROMISES PERSONAL FLIGHT UNDER $40K

Noise and airspace concerns often come up when people hear about personal eVTOL aircraft. Pivotal says those concerns are central to how it designs and operates its vehicles. "At Pivotal, we design light eVTOL aircraft for the real world – where people live, work and play- and that includes addressing community and regulatory concerns around airspace use and noise." The company says trust matters as much as technology. "Earning public trust is essential to making electric aviation part of everyday life, and noise is a key factor."

Pivotal says direct engagement helps address those concerns. "We engage directly with communities through events and demonstrations across the country, giving stakeholders the opportunity to experience the aircraft firsthand." The company also points to independent testing. "Our aircraft are quiet by design. Independent NASA testing shows the Pivotal BlackFly produces approximately 70 dBA of flyover noise at 100 feet, a level aligned with how sound is perceived by the human ear."

Federal rules also limit where ultralight aircraft can operate. "Under FAA Part 103 regulations, ultralight aircraft are allowed to operate in uncontrolled airspace, including public and private land – close to 90% of the country." Still, Pivotal notes that there are clear boundaries. "However, ultralight aircraft are not permitted to fly over congested areas, further reducing any concerns around noise."

How Pivotal plans to use Helix beyond personal flying

Pivotal plans to operate across three business segments: personal ownership, public safety and defense. In 2023, the company leased eight aircraft to an innovation arm of the U.S. Air Force and defense technology firm MTSI. That testing helped inform the latest version of Helix. Karklin believes recreational flying and short-distance travel should not be dismissed. He argues that those use cases may drive adoption faster than large urban systems.

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Kurt's key takeaways

Flying cars still sound wild when you say it out loud, yet Helix shows this idea has moved well past hype and headlines. This is a real aircraft, flown by real people, with real rules and real limitations. For most people, Helix will remain something to watch rather than buy. The price alone puts it out of reach. Even so, its existence matters. It shows that personal flight no longer belongs only to licensed pilots, airfields and aviation clubs. Pivotal took a slow and deliberate path to get here. That patience may be why Helix feels less like a stunt and more like a glimpse of what comes next. Just as electric cars reshaped expectations before becoming mainstream, personal eVTOL aircraft are starting at the top and working their way down. The question now is not whether flying cars are possible. It is how comfortable we become sharing the sky when they are no longer rare.

Would you trust yourself in a single-seat flying car, or does the sky still feel like a line we should not cross? Let us know by writing to us at Cyberguy.com

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AI wearable helps stroke survivors speak again

Sun, 01 Feb 2026 09:43:07 -0500

Losing the ability to speak clearly after a stroke can feel devastating. For many survivors, the words are still there in their minds, but their bodies will not cooperate. Speech becomes slow, unclear or fragmented. This condition, known as dysarthria, affects nearly half of all stroke survivors and can make everyday communication exhausting. Now, researchers believe they may have found a better way forward. Scientists at the University of Cambridge have developed a wearable device called Revoice. It is designed to help people with post-stroke speech impairment communicate naturally again without surgery or brain implants.

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FULLY IMPLANTABLE BRAIN CHIP AIMS TO RESTORE REAL SPEECH

Why dysarthria makes recovery so hard

Dysarthria is a physical speech disorder. A stroke can weaken the muscles in the face, mouth and vocal cords. As a result, speech may sound slurred, slow or incomplete. Many people can only say a few words at a time, even though they know exactly what they want to say. According to professor Luigi Occhipinti, that disconnect creates deep frustration. Stroke survivors often work with speech therapists using repetitive drills. These exercises help over time, but open-ended conversation remains difficult. Recovery can take months or even longer, which leaves patients struggling during daily interactions with family, caregivers and doctors.

How the Revoice device works

Revoice takes a very different approach. Instead of asking users to type, track their eyes or rely on implants, the device reads subtle physical signals from the throat and neck. It looks like a soft, flexible choker made from breathable, washable fabric. Inside are ultra-sensitive textile strain sensors and a small wireless circuit board. When a user silently mouths words, the sensors detect tiny vibrations in the throat muscles. At the same time, the device measures pulse signals in the neck to estimate emotional state.

Those signals are processed by two artificial intelligence (AI) agents:

One reconstructs words from mouthed speech
The other interprets emotion and context to build complete sentences

Together, they allow Revoice to turn a few mouthed words into fluent speech in real time.

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Why this AI approach is different

Earlier silent speech systems had serious limits. Many were tested only on healthy volunteers. Others forced users to pause for several seconds between words, which made the conversation feel unnatural. Revoice avoids those delays. It uses an AI-driven throat sensor system paired with a lightweight language model. Because the model runs efficiently, it uses very little power and delivers near-instant responses. The device is powered by a 1,800 mWh battery, which researchers expect will last a full day on a single charge.

What early trials revealed

After refining the system with healthy participants, researchers tested Revoice with five stroke patients who had dysarthria.

The results were striking:

Word error rate: 4.2%
Sentence error rate: 2.9%

In one example, a patient mouthed the phrase "We go hospital." Revoice expanded it into a complete sentence that reflected urgency and frustration, based on emotional signals and context. Participants reported a 55% increase in satisfaction and said the device helped them communicate as fluently as they did before their stroke.

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Beyond stroke recovery

Researchers believe Revoice could also help people with Parkinson's disease and motor neuron disease. Because the device is comfortable, washable, and designed for daily wear, it could fit into real-world routines rather than being confined to clinics. Before that can happen, larger clinical trials are required. The research team plans to begin broader studies with native English-speaking patients and hopes to expand the system to support multiple languages and a wider range of emotional expressions. The findings were published in the journal Nature Communications.

What this means for you

If you or someone you care for has experienced a stroke, this research points to a major shift in recovery tools. Revoice suggests that speech assistance does not need to be invasive to be effective. A wearable solution could support communication during the most difficult months of rehabilitation, when confidence and independence often suffer the most. It may also reduce stress for caregivers who struggle to understand incomplete or unclear speech. Clear communication can improve medical care, emotional well-being and daily decision-making.

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Kurt's key takeaways

Communication is tied closely to dignity and independence. For stroke survivors, losing that ability can be one of the hardest parts of recovery. Revoice shows how artificial intelligence and wearable tech can work together to restore something deeply human. While it is still early, this device represents a meaningful step toward making recovery feel less isolating and more hopeful.

If a simple wearable could help restore natural speech, should it become a standard part of stroke rehabilitation? Let us know by writing to us at Cyberguy.com

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Humanoid robot makes architectural history by designing a building

Thu, 29 Jan 2026 14:00:24 -0500

What happens when artificial intelligence (AI) moves from painting portraits to designing homes? That question is no longer theoretical.

At the Utzon Center in Denmark, Ai-Da Robot, the world's first ultra-realistic robot artist, has made history as the first humanoid robot to design a building.

The project, called Ai-Da: Space Pod, is a modular housing concept created for future bases on the Moon and Mars. CyberGuy has covered Ai-Da before, when her work focused on drawing, painting and performance art. That earlier coverage showed how a robot could create original artwork in real time and why it sparked global debate.

Now, the shift is clear. Ai-Da is moving beyond art and into physical spaces designed for humans and robots to live in.

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Inside the 'I'm not a robot' exhibition

The exhibition "I'm not a robot" has just opened at Utzon Center and runs through October. It explores the creative capacity of machines at a time when robots are increasingly able to think and create for themselves. Visitors can experience Ai-Da's drawings, paintings and architectural concepts. Throughout the exhibition period, visitors can also follow Ai-Da's creative process through sketches, paintings and a video interview.

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How Ai-Da creates art and architecture

Ai-Da is not a digital avatar or animation. She has camera eyes, specially developed AI algorithms and a robotic arm that allows her to draw and paint in real time. Developed in Oxford and built in Cornwall in 2019, Ai-Da works across disciplines. She is a painter, sculptor, poet, performer and now an architectural designer whose work is meant to provoke reflection.

"Ai-Da presents a concept for a shared residential area called Ai-Da: Space Pod, a foreshadowing of a future where AI becomes an integrated part of architecture," explains Aidan Meller, creator of Ai-Da and Director of Ai-Da Robot. "With intelligent systems, a building will be able to sense and respond to its occupants, adjusting light, temperature and digital interfaces according to needs and moods."

A building designed for humans and robots

The Space Pod is intentionally modular. Each unit can connect to others through corridors, creating a shared residential environment.

Through a series of paintings, she envisions a home and studio for humans or robots alike. According to the Ai-Da Robot team, these designs could evolve into fully realized architectural models through 3D renderings and construction. They could also adapt to planned Moon or Mars base camps.

While the concept targets future bases on the Moon and Mars, the design can also be built as a prototype on Earth. That detail matters as space agencies prepare for longer missions beyond our planet.

"With our first crewed Moon landing in 50 years coming in 2027, Ai-Da: Space Pod is a simple unit connected to other Pods via corridors," Meller said. "Ai-Da is a humanoid designing homes. This raises questions about where architecture may go when powerful AI systems gain greater agency." The timing also aligns with renewed lunar exploration tied to NASA missions.

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Why this exhibition is meant to challenge you

According to Meller, the exhibition is meant to feel uncomfortable at times. "Technology is developing at an extraordinary pace in these years," he said, pointing to emotional recognition through biometric data, CRISPR gene editing and brain computer interfaces. Each carries promise and ethical risk. He references Brave New World and warnings from Yuval Harari about how powerful technologies may be used.

In that context, Ai-Da becomes a mirror of our time. "Ai-Da is confrontational. The very fact that she exists is confrontational," said Line Nørskov Davenport, Director of Exhibitions at Utzon Center. "She is an AI shaker, a conversation starter."

What this means for you

This story goes beyond robots and space travel. Ai-Da's Space Pod shows how quickly AI is moving from a creative tool to a decision-maker. Architecture, housing and shared spaces shape daily life. When AI enters those fields, questions about control, ethics and accountability become unavoidable. If a robot can design homes for the Moon, it may soon influence how buildings function here on Earth.

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Kurt's key takeaways

A humanoid robot designing a building once sounded impossible. Today, Ai-Da's work sits inside a major cultural institution and sparks real debate. She offers no easy answers. Instead, she pushes us to think more critically about creativity, technology and responsibility. As the line between human and machine continues to blur, those questions matter more than ever.

If AI can design the homes of our future, how much creative control should humans be willing to give up? Let us know by writing to us at Cyberguy.com.

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