Technology
New AI brain lets robots move like humans
NEWYou can now listen to Fox News articles!
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.
Sign up for my FREE CyberGuy Report
- Get my best tech tips, urgent security alerts and exclusive deals delivered straight to your inbox.
- For simple, real-world ways to spot scams early and stay protected, visit CyberGuy.com – trusted by millions who watch CyberGuy on TV daily.
- Plus, you’ll get instant access to my Ultimate Scam Survival Guide free when you join.
ROBOTS LEARN 1,000 TASKS IN ONE DAY FROM A SINGLE DEMO
Genesis AI says its robotic hand can learn from human motion data to complete detailed, multistep tasks such as cooking an omelet. (Genesis AI)
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
Genesis AI unveiled GENE-26.5, a robotic brain designed to help general-purpose robots perform complex physical tasks with humanlike precision. (Genesis AI)
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.”
ROBOTS PERFORM LIKE HUMAN SURGEONS BY JUST WATCHING VIDEOS
The company says its glove-based data system captures finger, wrist and pressure movements to train robots more efficiently. (Genesis AI)
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.”
Take my quiz: How safe is your online security?
Think your devices and data are truly protected? Take this quick quiz to see where your digital habits stand. From passwords to Wi-Fi settings, you’ll get a personalized breakdown of what you’re doing right and what needs improvement. Take my Quiz here: Cyberguy.com.
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.
CLICK HERE TO DOWNLOAD THE FOX NEWS APP
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.
Sign up for my FREE CyberGuy Report
- Get my best tech tips, urgent security alerts and exclusive deals delivered straight to your inbox.
- For simple, real-world ways to spot scams early and stay protected, visit CyberGuy.com – trusted by millions who watch CyberGuy on TV daily.
- Plus, you’ll get instant access to my Ultimate Scam Survival Guide free when you join.
Copyright 2026 CyberGuy.com. All rights reserved.
Xbox just allcapsmaxxed: Meet XBOX. This isn’t a joke; Microsoft appears to be actually rebranding Xbox to XBOX. Asha Sharma, Xbox CEO, ran a poll on X earlier this week, asking fans whether Microsoft should use Xbox or XBOX. The results were in favor of XBOX, and the company has now renamed its X account.
Curiously, the Threads and Bluesky accounts for Xbox haven’t been renamed yet, but if Microsoft is going ahead with a rebranding then I expect those will change soon. I asked Microsoft to comment on this potential Xbox rebranding and the company simply referred me to Sharma’s post.
The use of all caps for Xbox is a return to original form, though. Microsoft’s first Xbox logo for its console was all caps, and the company has favored using similar capped versions for the Xbox 360, Xbox One, and Xbox Series X / S console logos.
The apparent rebranding comes just a few weeks after Sharma scrapped Microsoft Gaming and renamed Microsoft’s gaming division back to Xbox. It’s part of Sharma’s continued promise of a “return of Xbox,” which has involved fan-focused console updates, a new Xbox logo, Game Pass pricing changes, and lots more in recent weeks.
NEWYou can now listen to Fox News articles!
Artificial intelligence (AI) already shows up in your phone, your searches and plenty of apps you use every day. Now, some Silicon Valley investors are betting the machines behind those AI answers could one day run at sea.
A company called Panthalassa has raised $140 million in new funding to develop and deploy autonomous, floating AI computing nodes powered by ocean waves. The Series B round brings Panthalassa’s total funding to $210 million, a sign that investors are taking this ocean-based AI idea seriously. The round was led by Peter Thiel, the Palantir co-founder, and the company says the money will help complete a pilot manufacturing facility near Portland, Oregon. Panthalassa also plans to deploy its Ocean-3 pilot node series in the northern Pacific Ocean later in 2026.
Instead of building another giant AI data center on land, Panthalassa wants to place computing power out at sea. Ocean waves would generate electricity. Seawater would help with cooling. Onboard computing systems would process AI prompts and send the results back to land through low-Earth-orbit satellites.
Sign up for my FREE CyberGuy Report
LOWERING YOUR ELECTRIC BILL COULD BE FLOATING IN THE OCEAN
- Get my best tech tips, urgent security alerts and exclusive deals delivered straight to your inbox.
- For simple, real-world ways to spot scams early and stay protected, visit CyberGuy.com – trusted by millions who watch CyberGuy on TV daily.
- Plus, you’ll get instant access to my Ultimate Scam Survival Guide free when you join.
META BUILDS WORLD’S LARGEST AI SUPERCLUSTERS FOR THE FUTURE
Panthalassa’s Ocean-2 prototype rides in open water during testing, giving a real-world look at the kind of floating wave-energy system behind the company’s ocean AI plan. (Panthalassa)
How AI data centers at sea could work
Panthalassa’s floating nodes are designed to capture wave motion and turn it into electricity. The company says it has spent a decade developing the technology behind its power generation, onboard computing and autonomous ocean operations. Its earlier Ocean-1, Ocean-2 and Wavehopper prototypes were tested in 2021 and 2024. Think of each node like a floating power station with AI hardware inside. Waves move the system. That motion helps drive a generator. The power then feeds the onboard chips.
WHY AI IS CAUSING SUMMER ELECTRICITY BILLS TO SOAR
The company’s plan is to use those chips for AI inference. That is the part of AI where a model responds to your prompt after it has already been trained. In simple terms, it is what happens when you ask a chatbot a question and get an answer back. That makes the ocean plan a little easier to understand. Training massive AI models requires huge data movement and tight coordination. Answering prompts may be more realistic for a floating node, at least in some situations.
Why AI data centers are moving offshore
AI data centers need huge amounts of electricity. They also need space, cooling systems and local support from communities that may not want a massive facility nearby. Those problems have pushed companies to look for unusual answers. Ocean-based computing is one of them.
Panthalassa says its nodes would operate far from shore in wave-rich parts of the ocean. The goal is to use that wave energy directly onboard instead of sending the power back to land. “We’ve built a technology platform that operates in the planet’s most energy-dense wave regions, far from shore, and turns that resource into reliable clean power,” said Garth Sheldon-Coulson, Panthalassa’s co-founder and CEO.
A SUPERCOMPUTER CHIP GOING TO SPACE COULD CHANGE LIFE ON EARTH
The ocean also offers cold surrounding water. That could help cool the chips onboard. Cooling is a major issue because data centers produce a lot of heat. Panthalassa is taking a different path from traditional land-based data centers. Instead of pulling more power from the grid, it wants floating nodes that generate their own electricity from waves.
A SUPERCOMPUTER CHIP GOING TO SPACE COULD CHANGE LIFE ON EARTH
The Ocean-2 prototype sits inside a coastal facility, showing the size and shape of Panthalassa’s floating node before deployment at sea. (Panthalassa)
The satellite problem for ocean AI data centers
The ocean may help with power and cooling, but it creates another problem: connection. Traditional data centers rely on high-capacity fiber-optic connections because they need to move huge amounts of data fast. A floating node far out at sea may depend on low-Earth-orbit satellite links. That can work for some AI responses, but it may be slower and more limited than fiber.
SOLAR DEVICE TRANSFORMS USED TIRES TO HELP PURIFY WATER SO THAT IT’S DRINKABLE
The challenge grows when multiple nodes need to work together. AI systems often depend on fast communication between chips, servers and storage. If those parts are floating in the ocean and talking by satellite, coordination gets harder. That means AI data centers at sea may not replace land-based data centers anytime soon. They may be better suited for certain AI tasks where the model can live onboard, and the response does not require constant back-and-forth with other machines.
Repairing floating AI nodes could be difficult
There is another practical question: What happens when something breaks? A land-based data center can send in technicians. A floating AI node in rough seas may need a ship, special equipment and the right weather window. That adds cost and delay.
Panthalassa says it is developing autonomous systems meant for harsh ocean conditions. Its press release says Ocean-3 testing is meant to demonstrate AI inference and refine manufacturing before commercial deployments in 2027. Still, the ocean is brutal. Saltwater eats away at equipment. Storms can turn a routine repair into a major operation. Constant motion also puts stress on the hardware. For this plan to work, Panthalassa will have to show that each node can keep running for years in harsh ocean conditions without frequent human repairs.
WHY AI IS CAUSING SUMMER ELECTRICITY BILLS TO SOAR
Panthalassa’s Ocean-2 prototype is transported by barge, a reminder that building AI infrastructure at sea also means solving major deployment and maintenance challenges. (Panthalassa)
Ocean data centers have been tested before
Ocean data centers are not new. Microsoft experimented with underwater data center servers through Project Natick, including tests in 2015 and 2018. Those tests showed that sealed underwater servers could run reliably while using seawater for cooling, with Microsoft reporting a lower failure rate than comparable land-based systems. Microsoft later ended the project.
Chinese companies have also reportedly pushed ahead with underwater data center projects near Hainan and Shanghai. Keppel has explored floating data center designs in Singapore, where land constraints make the concept especially attractive. Panthalassa’s plan goes in a different direction. It combines wave power with onboard AI chips and satellite-based results. It also depends on floating nodes that would need to operate far from the kind of support a normal data center gets. That is why the idea is getting attention. It is also why skepticism is fair.
FOX NEWS AI NEWSLETTER: SCAMMERS CAN EXPLOIT YOUR DATA FROM JUST 1 CHATGPT SEARCH
What AI data centers at sea mean for you
For now, this will not change how your phone or computer works. You will not suddenly see a “powered by ocean waves” label on your favorite AI app. But the bigger picture affects everyone. AI needs an incredible amount of electricity. As more companies add AI tools to their products, they need more places to run those systems. That pressure can affect energy grids, water use, local battles over new data centers and even your utility bills over time.
Panthalassa argues its approach could reduce the need for new data centers and power plants on land. That could ease pressure on local communities and the grid, but the company still has to prove the system can work reliably at sea. If ocean-based AI moves beyond testing, it could also raise fresh questions about marine maintenance, environmental oversight and who controls computing infrastructure in international waters.
Take my quiz: How safe is your online security?
Think your devices and data are truly protected? Take this quick quiz to see where your digital habits stand. From passwords to Wi-Fi settings, you’ll get a personalized breakdown of what you’re doing right and what needs improvement. Take my Quiz here: Cyberguy.com
CLICK HERE TO DOWNLOAD THE FOX NEWS APP
Kurt’s key takeaways
Everyone is using AI on their phones and computers these days, but the heavy lifting often happens in huge data centers behind the scenes. That is why Panthalassa’s ocean plan is getting attention. The company wants to use waves for power and seawater for cooling. The hard part is proving that floating AI nodes can survive rough seas, limited satellite links and complicated maintenance. If Panthalassa can pull it off, ocean-based AI could become part of the tech we use every day. If it cannot, it may show just how difficult it is to keep feeding AI’s growing demand for power.
If this kind of ocean-powered AI takes off, would you worry about what these floating nodes could mean for our oceans? Let us know by writing to us at Cyberguy.com
Sign up for my FREE CyberGuy Report
- Get my best tech tips, urgent security alerts and exclusive deals delivered straight to your inbox.
- For simple, real-world ways to spot scams early and stay protected, visit CyberGuy.com – trusted by millions who watch CyberGuy on TV daily.
- Plus, you’ll get instant access to my Ultimate Scam Survival Guide free when you join.
Copyright 2026 CyberGuy.com. All rights reserved.
OpenAI announced yet another reorganization Friday, consolidating certain areas and making company president Greg Brockman the official lead of all things product.
In a memo viewed by The Verge, Brockman wrote that since OpenAI’s product strategy for this year is to go all-in on AI agents, the company is combining its products to “invest in a single agentic platform and to merge ChatGPT and Codex into one unified agentic experience for all.”
To do this, the company is making a suite of org chart changes, although it’s still operating under some of the same ones from last month. That’s when AGI boss Fidji Simo went on medical leave and OpenAI announced that Brockman would be in charge of product strategy and CSO Jason Kwon, CFO Sarah Friar, and CRO Denise Dresser would take control of business operations.
It’s all part of OpenAI’s recent strategic shift to focus on key revenue drivers like coding and enterprise and stop pouring resources into “side quests” ahead of its potential IPO later this year and amid investor pressure to turn a profit.
In Simo’s continued absence, Brockman’s role leading product strategy is now official, as well as the company’s “scaling” arm. Under Brockman will be four different pillars. The first is core product and platform, led by Thibault Sottiaux, who has been OpenAI’s engineering lead for Codex, and the second is critical enterprise industries, led by ChatGPT head Nick Turley. Third is the consumer pillar, such as health, commerce, and personal finance, which will be led by Ashley Alexander, who has been its healthcare products VP. The fourth pillar — core infrastructure, ads, data science, and growth — will be led by Vijaye Raji, who has been OpenAI’s CTO of applications.
Brockman wrote in the memo that OpenAI’s goal is now to “bring agents to ChatGPT scale, in order to give individuals and organizations significantly more value and utility from our products.”
-
Vermont2 minutes ago
VT Lottery Mega Millions, Gimme 5 results for May 15, 2026
-
Virginia8 minutes agoVirginia Lottery Mega Millions, Pick 3 Night results for May 15, 2026
-
Washington14 minutes ago
Washington Lottery Mega Millions, Cash Pop results for May 15, 2026
-
Wisconsin20 minutes agoWisconsin severe thunderstorm watch into Saturday morning
-
West Virginia26 minutes agoWVWC hosts 50th West Virginia State Mathematics Field Day
-
Wyoming32 minutes agoColorado resident killed in crash near Cheyenne
-
Crypto38 minutes agoCoinbase Co-Founder Meets with US and Venezuelan Officials in Major Investment Push
-
Finance44 minutes agoCrystal City ISD laying off 25% of staff amid financial crisis