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China’s compact humanoid robot shows off balance and flips

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China’s compact humanoid robot shows off balance and flips

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Humanoid robotics companies have already shown their machines can run at 22 mph, land backflips and even pull off front flips. So the new proving ground is not raw speed or acrobatics. It is control when something unexpected happens. That is where the EngineAI PM01 humanoid robot comes in.

In newly released footage, the compact humanoid keeps dancing after being deliberately pushed off balance. It performs a controlled forward slip, absorbs the disruption and smoothly regains rhythm within seconds. The motion looks fluid and surprisingly natural.

Then it lands another front flip, this time as part of a broader demonstration of balance and recovery.

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EngineAI pushes back on CGI skepticism as its PM01 humanoid robot demonstrates controlled recovery and dynamic motion. (Liu Lihang/Xinhua via Getty Images)

EngineAI PM01 humanoid robot shows advanced balance control

Speed gets attention. Recovery earns trust. When someone shoves the PM01, it does not freeze. It recalculates its center of mass, adjusts joint torque and corrects posture in real time. That level of control depends on tight coordination between sensors, actuators and AI algorithms. The front flip adds another challenge.

Front flips are typically harder than backflips. Rotating forward shifts the body weight ahead of the support base. That makes landings less forgiving. The EngineAI PM01 humanoid robot executes the move with coordinated arm swing, core stabilization and accurate landing mechanics. This is not about flashy tricks. It is about controlled dynamic motion under stress.

Why the compact size of the EngineAI PM01 matters

The PM01 stands just under 4 feet tall. That smaller build works to its advantage. A lower center of mass reduces tipping risk and requires less rotational force during flips. Its lighter structure also helps distribute impact forces more efficiently when it lands.

By comparison, EngineAI’s larger SE01 stands about 4 feet, 6 inches tall and weighs 88 pounds. The PM01 is roughly 10.5 inches shorter and about 17.6 pounds lighter. That size difference makes it more agile in research and development settings.

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Full-sized humanoids face greater mechanical stress during high-impact maneuvers. They need stronger actuators, reinforced joints and heavier structural support to stay stable. Compact robots like the EngineAI PM01 can achieve advanced movement with less overall strain.

CHINA’S ROBOTICS GIANT PUTS 200 ROBOTS TO THE TEST

The PM01 robot stands on display at EngineAI’s robot retail flagship store in Shenzhen, Guangdong Province of China. Newly released footage shows the PM01 humanoid absorbing a push and recalculating its center of mass within seconds. (VCG/VCG via Getty Images)

AI hardware powering the EngineAI PM01 humanoid robot

Under the hood, the EngineAI PM01 humanoid robot combines advanced perception with serious computing power. It uses an Intel RealSense depth camera for visual awareness and spatial mapping. A dual-chip setup integrates Nvidia Jetson Orin with an Intel N97 processor. That architecture supports real-time AI workloads and rapid balance correction when the robot is pushed or slips.

The robot features 24 degrees of freedom, including 12 joint motors. This design allows smooth coordinated movement across its limbs and torso. In the small humanoid segment, PM01 competes with models like the Unitree G1 and the Booster T1. It walks at up to about 4.5 miles per hour, faster than the T1, though still below some larger high-speed humanoid platforms built for sprint performance.

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EngineAI appears less focused on headline-grabbing speed and more focused on refined stability and controlled motion.

EngineAI pushes back against CGI claims

As humanoid videos go viral, skepticism follows. EngineAI recently addressed CGI accusations by releasing footage of its T800 humanoid physically interacting with its CEO. The company clearly wants to demonstrate that its robots operate in the real world.

That credibility push matters. In a crowded robotics market, bold claims are common. Physical demonstrations help separate engineering progress from digital effects.

WARM-SKINNED AI ROBOT WITH CAMERA EYES IS SERIOUSLY CREEPY

The nearly 4-foot-tall EngineAI PM01 uses AI-powered sensors and joint motors to recover from slips and continue moving. (VCG/VCG via Getty Images)

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What this means to you

Right now, this looks like a polished demo. However, balance and recovery are critical for real-world use. If humanoid robots are going to work in warehouses, hospitals or our homes, they must handle bumps, slips and unexpected contact without causing damage. A machine that can brace itself, fall safely and stand back up is far more practical than one that performs a single choreographed stunt. As humanoids move closer to everyday environments, resilience becomes just as important as athletic performance. The more stable they are, the more comfortable people will feel sharing space with them.

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Kurt’s key takeaways

Humanoid robots can already run fast, flip and move with serious athletic ability. What companies are racing to perfect now is something more practical: balance when things go wrong. The EngineAI PM01 humanoid robot shows how compact design and real-time correction can help a machine stay upright, recover quickly and keep moving without chaos. That kind of control matters far more in a crowded warehouse, hospital hallway or public space than a perfectly staged stunt. We are starting to see the shift from viral demo moments to robots built for everyday reliability. The real breakthrough is not the flip. It is what happens after the push.

When humanoid robots can absorb a shove, land a flip and get back to work without missing a beat, how close are we to seeing them in your neighborhood? Let us know by writing to us at Cyberguy.com.

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Amazon.com says things are fixed after some issues with logging in and checking out

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Amazon.com says things are fixed after some issues with logging in and checking out

If you were having issues shopping on Amazon or loading your playlists on Amazon Music on Thursday, you weren’t alone. For over three hours today, Downdetector showed a sizable spike in people reporting issues with checkout, search, and logging in. The problem seemed to be affecting both the site and the mobile apps. But an Amazon spokesperson tells The Verge that the issues are now fixed.

“We’re sorry that some customers may have temporarily experienced issues while shopping,” Amazon spokesperson Jennie Bryant says in a statement. “We have resolved the issue, which was related to a software code deployment, and website and app are now running smoothly.”

Several Verge staffers experienced issues themselves when there were problems. Clicking through to many products produced a “sorry, something went wrong” error, and even pages that did load were not showing pricing. Users reported being repeatedly logged out of their accounts when trying to check out or load their cart. Even the parts of Amazon.com that were working seem to be loading slowly.

The company has been dealing with AWS outages in Bahrain and the United Arab Emirates due to drone strikes by the Iranian military, but there has not been any word of more widespread outages in the US or elsewhere.

Update March 5th: Added comment from Amazon saying that things are fixed.

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$163K in fake medical bill charges; AI uncovers it for you

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3K in fake medical bill charges; AI uncovers it for you

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Last summer, a man’s brother-in-law suffered a fatal heart attack. The hospital bill for four hours of emergency care: $195,628.

The man’s sister-in-law was ready to pay it. He asked her to wait. He requested an itemized bill with CPT codes, the universal billing codes hospitals use, and fed the whole thing into Claude, an AI chatbot.

Within minutes, Claude found duplicate charges, services billed as “inpatient” even though the patient was never admitted, supply costs inflated by 500% to 2,300% above Medicare rates and charges for procedures that never happened. He cross-checked with ChatGPT. Both AIs agreed. He wrote a six-page letter citing every violation by name.

The hospital dropped the bill to $33,000. An 83% reduction. Zero medical training. A $20 app.

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A man cross-checked a hospital bill with AI and got it reduced by some 83%. (Neil Godwin/Getty Images)

Your bill is probably wrong, too

That story sounds extreme. It’s not.

The Medical Billing Advocates of America estimates 3 out of 4 medical bills contain errors. The average hospital bill over $10,000 has roughly $1,300 in mistakes. And less than 1% of denied insurance claims are ever appealed. Hospitals and insurers are banking on the fact that you won’t check.

AI flips that equation. You don’t need to understand CPT codes or have a medical billing degree. You just need to paste.

You can use AI platforms, like ChatGPT, to spot errors or suspicious charges on medical bills. (Jaap Arriens/NurPhoto via Getty Images)

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The 5-minute audit

Step 1: Call your provider and request an itemized bill with CPT codes. Not the summary. The full line-by-line breakdown. You’re legally entitled to this.

Step 2: Open ChatGPT, Claude, Grok or Gemini (free versions work) and paste this:

“I’m pasting my itemized medical bill below. Please: (1) Explain every charge in plain English, (2) Flag any duplicate or suspicious charges, (3) Compare each charge to average costs, (4) Identify billing code errors or bundling violations, and (5) Draft a dispute letter I can send to the billing department. Here’s my bill:”

Step 3: Paste your bill. The AI will translate every line and tell you what looks wrong.

WOMAN SAYS CHATGPT SAVED HER LIFE BY HELPING DETECT CANCER, WHICH DOCTORS MISSED

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If the AI finds errors, call the billing department and ask for a supervisor. (iStock)

Step 4: If the AI finds errors (it probably will), call the billing department and ask for a supervisor. Reference the specific codes. Hospitals resolve disputes all the time when patients show up prepared.

Pro tip: Counterforce Health (counterforcehealth.org) is a free AI tool built specifically for insurance denial appeals. Worth bookmarking.

It’s time to give your medical bills a thorough examination. The AI will see you now.

Real talk. Everybody’s talking about AI. Nobody’s showing you what to actually DO with it. My new free newsletter, Splash of AI (SplashofAI.com), gives you one trick, one tool and one “wait, I can do THAT?” moment every single week. Five minutes. Plain English. The kind of stuff that saves you time, money or both. You’ll wonder how you got by without it.

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Send this to someone who is staring at a medical bill they can’t make sense of. Forward this right now. Seriously. This could save them hundreds or even thousands of dollars, and it takes less time than making coffee.

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Meta’s AI glasses reportedly send sensitive footage to human reviewers in Kenya

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Meta’s AI glasses reportedly send sensitive footage to human reviewers in Kenya

Meta’s AI-powered smart glasses could be sending sensitive footage to human reviewers in Nairobi, Kenya, according to an investigation by the Swedish outlets Svenska Dagbladet and Göteborgs-Posten. The report, which was published last week, claims Meta contractors in Kenya have seen videos captured with the smart glasses that show “bathroom visits, sex and other intimate moments.”

So far, at least one proposed class action lawsuit accusing Meta of violating false advertising and privacy laws has emerged in response to Svenska Dagbladet’s reporting, citing the company’s claim that its smart glasses are designed for privacy:

By affirmatively claiming that the Glasses were designed to protect privacy, Meta assumed a duty to disclose material facts that would inform a reasonable consumer’s decision to purchase the product. Instead, Meta hid the alarming reality: that use of the AI features results in a stranger halfway around the world watching the most private moments of a person’s life.

The Nairobi-based contractors interviewed by Svenska Dagbladet are AI annotators, meaning they label images, text, or audio, with the goal of helping AI systems make sense of the data they’re training on. “We see everything — from living rooms to naked bodies,” one worker says, according to Svenska Dagbladet. “Meta has that type of content in its databases.”

A former Meta employee reportedly tells Svenska Dagbladet that faces in annotation data are blurred automatically, though workers in Kenya say this “does not always work as intended,” and some faces are still visible. Another person reportedly tells the outlet that a wearer’s bank cards are sometimes seen in the footage they review as well.

Meta’s Ray-Ban and Oakley smart glasses come with a built-in AI assistant capable of answering questions about what a user can see. The glasses have soared in popularity in recent years, despite growing concerns over privacy and surveillance.

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EssilorLuxottica, the eyewear giant that Meta works with to develop the camera-equipped glasses, sold over 7 million of the AI-powered glasses in 2025 — more than tripling its sales in 2023 and 2024 combined. Last year, Meta made some changes to its privacy policy that keep Meta AI with camera use enabled on your glasses “unless you turn off ‘Hey Meta.’” It also stopped allowing wearers to opt out of storing their voice recordings in the cloud.

As reported by Svenska Dagbladet, the Kenya-based AI reviewers work with transcriptions as well, ensuring Meta AI provides the correct answer to the questions users ask aloud. In a statement to The Verge, Meta spokesperson Tracy Clayton says media captured by its smart glasses “stays on the user’s device” unless they choose to share it with other people or Meta.

“When people share content with Meta AI, we sometimes use contractors to review this data for the purpose of improving people’s experience, as many other companies do,” Clayton says. “We take steps to filter this data to protect people’s privacy and to help prevent identifying information from being reviewed.”

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