During Apple’s week-long product launch event on Tuesday, a listing for the “MacBook Neo (Model A3404)” appeared on a regulatory compliance page on Apple’s website under its line-up of 2026 MacBooks. First spotted by MacRumors, the listing appears to be an accident and has since been removed, but may have been a leaked reference to a rumored entry-level MacBook. Unfortunately, it didn’t include any additional details beyond the device’s name and model number.

The lower price and an “entirely new design” could help the new MacBook appeal to students and casual users, competing with Chromebooks and low-cost Windows laptops. A more affordable MacBook could be especially appealing after Apple announced the M5 MacBook Air on Tuesday, which has a higher starting price than last year’s Air.

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 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.

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.

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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.

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.

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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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Anthropic is making it easier to switch to its Claude AI from other chatbots with an update that brings Claude’s memory feature to users on the free plan, along with a new prompt and dedicated tool for importing data from other chatbots. These upgrades could allow users who have been using rivals like OpenAI’s ChatGPT or Google’s Gemini to quickly copy the data their preferred AI has collected on them and bring it over to Anthropic’s chatbot. That way, they don’t have to “start over” teaching Claude the context and history their previous chatbot already knows.

The option to import and export memories from Claude has been available since October, when Anthropic also rolled out the option for users to turn on Claude’s memory. Up until now, the memory feature was only available to users on paid Claude subscriptions, but now all Claude users can turn it on by going into “settings” then “capabilities.” This menu is also where users can find the new memory importing tool, which has users copy a pre-written prompt into their previous AI then copy the output from that prompt back into Claude’s importing tool.

Anthropic is introducing the upgraded memory importing tool as Claude is seeing a rise in popularity, driven by tools like Claude Code and Claude Cowork. Last month, Anthropic launched its new Opus 4.6 and Sonnet 4.6 models, which the company says are better at coding and completing complex tasks like working through a spreadsheet or filling out forms.

Anthropic has also been experiencing a spike in attention recently after pushing back against demands from the Pentagon to loosen the guardrails on its AI models, with the company stating publicly that they drew “red lines” around mass surveillance and fully autonomous lethal weapons.