Technology
China vs SpaceX in race for space AI data centers
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If your phone heats up while running AI, imagine what happens inside a massive data center. Now imagine moving that data center into orbit.
That is exactly what China and Elon Musk are planning. It is a serious race to build space-based AI data centers powered by sunlight in space.
At stake? The future of artificial intelligence, energy dominance and who controls the next layer of digital infrastructure.
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China and Elon Musk are racing to build solar-powered AI data centers in orbit, aiming to ease Earth’s growing energy strain. (Paul Hennesy/Anadolu via Getty Images)
China’s plan: Gigawatt-class space computing
China’s main space contractor, China Aerospace Science and Technology Corporation, outlined a five-year plan to build what it calls “gigawatt-class space digital-intelligence infrastructure,” according to reporting cited by CCTV. While that phrase may sound bureaucratic. It is not.
Gigawatt-class means massive energy output. Think industrial scale. These proposed orbital hubs would integrate cloud, edge and device-level computing. In simple terms, data collected on Earth could be processed in space instead of inside giant warehouses in Arizona or Inner Mongolia.
The vision goes even further. A December policy document describes an industrial-scale “Space Cloud” by 2030. The goal is deep integration of computing power, storage and transmission bandwidth, all powered by solar energy in orbit. China also signaled that space-based solar power tied to AI computing will be a core pillar of its upcoming 15th Five-Year Plan. It’s all part of its national strategy.
Elon Musk says the lowest-cost AI will be in space
Meanwhile, Elon Musk is making a similar bet. At the World Economic Forum in Davos, Musk said SpaceX plans to launch solar-powered AI data center satellites within two to three years. He argued that space is the “lowest-cost place to put AI” and predicted that it will be true within a few years. Why? Solar power in orbit can generate far more energy than panels on the ground. Musk said orbital solar generation can produce roughly five times more power because there are no clouds and no night cycles in the same way as on Earth. SpaceX reportedly expects to use funds from a planned $25 billion IPO to help develop these orbital AI systems.
This makes sense when you consider that AI is devouring electricity. Training and running large models requires enormous computing clusters. Power grids are straining in places like Texas and Northern Virginia. So the thinking is simple. If Earth runs short on clean energy for AI, move the servers closer to the sun.
The real bottleneck: Reusable rockets
There is only one problem. Getting hardware into space is expensive. SpaceX solved part of that with its Falcon 9 reusable rocket. Reusability dramatically lowers launch costs. It also enabled SpaceX’s Starlink satellite network to dominate low Earth orbit.
China, on the other hand, has not yet completed a fully successful reusable rocket program capable of repeated, reliable flights. That is a major bottleneck. Without reusability, the cost of launching and maintaining space-based AI infrastructure remains high.
Still, China achieved a record 93 space launches last year, according to official announcements. Its commercial space startups are maturing quickly. And Beijing has made it clear it wants to become a “world-leading space power” by 2045. In other words, this is a long game.
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Beijing plans a “gigawatt-class” space computing network as part of its long-term strategy for digital and space dominance. (Gabriel V. Cardenas/AFP via Getty Images)
It is not just about data centers
China’s five-year plan also includes suborbital space tourism and the gradual development of orbital tourism. That signals a broader push to commercialize space in a way similar to civil aviation.
At the same time, both the U.S. and China see strategic and military advantages in dominating orbit. China recently inaugurated its first School of Interstellar Navigation within the Chinese Academy of Sciences. The goal is to move from near-Earth orbit to deep space exploration. State media described the next 10 to 20 years as a window for leapfrog development in interstellar navigation.
Meanwhile, the U.S. is racing to return astronauts to the moon for the first time since the Apollo era. The competition is heating up on multiple fronts. AI infrastructure in space is just one piece of a much larger chessboard.
Why this matters to you
You might be thinking, “Great. Billionaires and governments are fighting over satellites. Why should I care?” Here is why. AI is becoming embedded in everything. Search results. Customer service. Medical imaging. Financial systems. Smart homes. All of that runs on computing power. And that computing power runs on energy. If the cheapest and most abundant energy for AI ends up being in orbit, the balance of tech power could shift dramatically. Countries that control space-based AI infrastructure could gain economic leverage, military advantages and technological dominance. This is the next layer of the cloud. Not in a warehouse. Not in a desert. But circling above your head.
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CHINA QUIETLY BUILDS WORLDWIDE SPACE NETWORK, ALARMING US OVER FUTURE MILITARY POWER
Musk says space will soon be the lowest-cost place to power artificial intelligence, citing constant solar energy in orbit. (Aubrey Gemignani/NASA via Getty Images)
Kurt’s key takeaways
For decades, space was about flags and footprints. Today, the focus is shifting toward servers and solar arrays as governments and private companies rethink where the world’s most powerful computers should operate. China is pursuing a “Space Cloud,” while Elon Musk argues that AI belongs in orbit. Both are racing toward a future where advanced computing systems are powered by uninterrupted sunlight above Earth. That shift sounds bold and carries real risk. However, if AI continues to accelerate and energy demand keeps climbing, moving computing infrastructure into space may start to look less radical and more inevitable.
If the infrastructure powering AI moves into orbit, who should control it? Let us know by writing to us at Cyberguy.com.
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Technology
Halide co-founder is suing former partner Sebastiaan de With for taking source code to Apple
Lux Optics co-founder Sebastiaan de With made headlines when he joined Apple in late January. The company was behind Halide, one of the most popular photography apps for the iPhone, which gained a cult following for its robust pro-level controls.
Apple was apparently a big enough fan that it tried to acquire the developer last summer. Those talks never bore fruit, and eventually the company simply hired de With. At the time, it was widely believed that Apple had poached him from Lux. But new allegations from a lawsuit filed by co-founder Ben Sandofsky in the California Superior Court of Santa Cruz claim de With was fired for financial misconduct in December of 2025.
According to The Information, the suit “accuses de With of improperly using more than $150,000 in Lux corporate funds to pay for personal expenses,” as well as “taking Lux source code and confidential material with him when he joined Apple.”
An attorney for de With denied those claims and said that “The attempt to insert Apple into this dispute appears designed to create leverage and attract attention.“
Technology
Creepy robot mom that gives birth is training future midwives
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Most hospital training labs use basic dummies or simple mannequins to teach medical skills. Students practice procedures, learn techniques and move on to real patients later. But a new childbirth simulator called Mama Anne takes training to a very different level. This lifelike robot blinks, breathes and even talks while helping midwifery students practice delivering babies before they ever step into a real delivery room. And if the idea of a robot going into labor feels a little creepy, you are not alone.
At York St. John University in York, England, educators have introduced the simulator as part of a new approach to hands-on medical training. The technology allows students to experience complex labor scenarios in a safe environment where mistakes become learning moments instead of medical emergencies. And yes, the robot actually gives birth.
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ROBOTS POWER BREAKTHROUGH IN PREGNANCY RESEARCH, BOOSTING IVF SUCCESS RATES
Mama Anne is a high-fidelity childbirth simulator used to train midwifery students in realistic labor and delivery scenarios before they work with real patients. (Laerdal Medical)
How the robot childbirth simulator trains future midwives
The simulator known as Mama Anne looks and behaves much like a real patient in labor. Developed by Laerdal Medical, the high-fidelity mannequin was designed to recreate real childbirth conditions with startling realism.
Students interact with Mama Anne as if she were an actual patient. Her eyes blink and react to light. Her chest rises and falls as she breathes. She even has pulses that can be felt in multiple places across the body. Most importantly, she can deliver a baby mannequin during a simulated birth.
Unlike older training models that stayed mostly static, this simulator moves and reacts during labor. It can deliver in several positions, including lying back or on all fours. It can also display vital signs that change in response to medical complications. In short, it turns a classroom exercise into something that feels much closer to a real hospital scenario.
Why robot childbirth simulators are becoming essential
For decades, midwifery training relied heavily on textbooks, observation and limited hands-on practice. That approach left a major gap. Many students encountered their first true emergencies only after they began working in clinical settings.
Now technology is filling that gap. Simulation tools like Mama Anne allow students to practice high-risk situations repeatedly before they ever treat a real patient. As a result, students build confidence while instructors guide them through difficult scenarios.
For example, the simulator can recreate several dangerous childbirth complications, including:
- Postpartum hemorrhage with realistic blood loss
- Shoulder dystocia when a baby becomes stuck during delivery
- Pre-eclampsia and eclampsia with changing vital signs
- Sepsis symptoms that require rapid treatment
Students also practice everyday clinical skills such as monitoring fetal heart rate, giving injections and managing labor from start to finish. Because the training environment is controlled, instructors can pause a scenario, explain a mistake and run it again.
The robot even teaches communication skills
Medical training is not only about technical procedures. Communication with patients matters just as much. Mama Anne helps with that, too.
The simulator can speak using recorded responses or real-time dialogue through hidden speakers. Students must explain procedures, ask for consent and reassure their patient just as they would in a real delivery room.
If someone touches the simulator without asking first, it can react and vocalize discomfort. That feature reinforces one of the most important lessons in modern healthcare: patient consent and respectful care always come first.
REMOTE ROBOT SURGERY REMOVES CANCER 1,500 MILES AWAY
The lifelike simulator can blink, breathe, display vital signs and deliver a baby mannequin to recreate complex childbirth situations. (Laerdal Medical)
Why universities are investing in this technology
Educators believe simulation training dramatically improves how healthcare students prepare for the real world. Rebecca Beggan, midwifery program lead at York St. John University, says hands-on simulation helps students build both competence and confidence before clinical placements.
Students can experience an entire labor scenario from beginning to end. They learn antenatal care, labor management and postnatal care in a single immersive exercise. Instructors also say the technology helps protect students from the emotional shock of encountering their first medical emergency without preparation. Instead of facing those situations cold, students enter clinical placements with real practice under their belt.
The future of childbirth training
The arrival of hyper-realistic simulators like Mama Anne suggests medical education is entering a new era. Instead of learning mostly through observation and experience, future healthcare professionals may train through realistic simulations that mirror real hospital conditions.
That shift could change everything from how nurses train to how surgeons rehearse complex procedures. Technology will never replace human caregivers. However, it can help prepare them better than ever before.
What this means to you
Even if you never step into a medical classroom, this technology could still affect your life. Better training often leads to better patient outcomes. When healthcare providers practice emergency scenarios in advance, they react faster and make fewer mistakes during real emergencies.
For expectant parents, that can mean safer deliveries and more confident medical teams in the room. Simulation training also reflects a broader shift in healthcare education across the United States. Many hospitals and universities are adopting high-fidelity simulators for surgery, emergency care and trauma response. The goal is simple: Let students practice difficult situations before lives are on the line.
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Kurt’s key takeaways
A robot that gives birth may seem a little creepy at first. Still, tools like this could become common in medical training down the road. Students gain hands-on experience. Instructors guide them through emergencies. Patients benefit from better-prepared medical teams. The next generation of midwives may enter the delivery room with far more practice than any class before them. As medical simulators grow more realistic and more widespread, one question naturally follows.
Students use the simulator to practice emergencies like postpartum hemorrhage, shoulder dystocia and other complications in a safe training environment. (Laerdal Medical)
If robots can train doctors to deliver babies today, what other parts of healthcare might soon be practiced first in simulation labs instead of hospitals? Let us know by writing to us at Cyberguy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
The AirPods Pro 3 are $50 off right now, nearly matching their best-ever price
Less than a week ago, Apple announced the forthcoming AirPods Max 2, a pair of over-ear headphones that leverage the company’s H2 chip for AI-powered live translation, conversation awareness, and a host of newer features. However, if you’re okay with a pair of earbuds, the AirPods Pro 3 offer access to all the same features for less — especially given they’re currently on sale at Amazon, Walmart, and Best Buy for $199.99 ($50 off), matching their second-best price to date.
For iPhone owners, nothing else really compares to the AirPods Pro 3. Apple’s latest pair of premium earbuds deliver the best active noise cancellation and richest sound of any AirPods model to date, combined with a more comfortable, angled design that fits securely and naturally in your ear canal. They also feature a new XXS ear tip size and a more robust IP57 rating for sweat and water resistance, making them better suited for long-distance runs and various gym activities.
Speaking of workouts, the Pro 3 can also pull double duty as a fitness tracker, thanks to a built-in heart rate sensor that works with Apple’s Fitness app to track calories burned across more than 50 workout types. It’s a welcome addition if you don’t use an Apple Watch; however, it may not be as useful for those who already own and rely on Apple’s wearable for its health tracking and wellness features.
Lastly, as mentioned up top, the AirPods Pro 3 also boast an H2 chip, allowing for the aforementioned real-time translation features and Apple’s newer Voice Isolation tech, which uses machine learning to isolate and enhance voice quality by removing unwanted background noise. That’s on top of their seamless integration with other Apple devices, mind you, which lets you take advantage of automatic device switching and a Find My-compatible charging case.
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