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Humanoid robot shows speed and real skill

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Humanoid robot shows speed and real skill

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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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The KAIST humanoid accelerates across a soccer field, showing its balance and high-speed control in motion. (KAIST)

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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.

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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.

The human robot tracks and kicks a soccer ball with precise foot placement and smooth coordination. (KAIST)

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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.

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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.

Mid-stride, the humanoid maintains stability and control as it moves across the field in real-world conditions. (KAIST)

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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

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Gemini is making it faster for distressed users to reach mental health resources 

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Gemini is making it faster for distressed users to reach mental health resources 

Google says it has updated Gemini to better direct users to get mental health resources during moments of crisis. The change comes as the tech giant faces a wrongful death lawsuit alleging its chatbot “coached” a man to die by suicide, the latest in a string of lawsuits alleging tangible harm from AI products.

When a conversation indicates a user is in a potential crisis related to suicide or self-harm, Gemini already launches a “Help is available” module that directs users to mental health crisis resources, like a suicide hotline or crisis text line. Google says the update — really more of a redesign — will streamline this into a “one-touch” interface that will make it easier for users to get help quickly.

The help module also contains more empathetic responses designed “to encourage people to seek help,” Google says. Once activated, “the option to reach out for professional help will remain clearly available” for the remainder of the conversation.

Google says it engaged with clinical experts for the redesign and is committed to supporting users in crisis. It also announced $30 million in funding globally over the next three years “to help global hotlines.”

Like other leading chatbot providers, Google stressed that Gemini “is not a substitute for professional clinical care, therapy, or crisis support,” but acknowledged many people are using it for health information, including during moments of crisis.

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The update comes amid broader scrutiny over how adequate the industry’s safeguards actually are. Reports and investigations, including our probe into the provision of crisis resources, frequently flag cases where chatbots fail vulnerable users, by helping them hide eating disorders or plan shootings. Google often fares better than many rivals in these tests, but is not perfect. Other AI companies, including OpenAI and Anthropic, have also taken steps to improve their detection and support of vulnerable users.

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AI needs more power: Offices could be the answer

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AI needs more power: Offices could be the answer

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If your office cranks up the AC on a hot afternoon, you are part of a much bigger story. Energy demand is climbing fast. Data centers and AI systems are using more electricity than ever. At the same time, extreme weather is putting added stress on the grid. That pressure has utilities looking for relief in an unexpected place. Not a new plant. Not a massive battery installation. Instead, they are turning to buildings that already exist. A Seattle startup called Edo is betting your office can help keep the lights on.

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Seattle startup Edo is helping utilities tap office buildings as virtual power plants, shifting energy use when demand spikes and the grid faces added stress. (alacatr/Getty Images)

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What is a virtual power plant?

A virtual power plant, often called a VPP, connects many buildings and devices so they can act like one coordinated energy resource. Instead of generating new electricity, these systems adjust when and how energy gets used.

Here is the idea in plain terms. When demand spikes, a building can temporarily reduce non-essential power use. That might mean cooling a space earlier in the day or delaying equipment that does not need to run right away. Across thousands of buildings, those small shifts add up quickly.

How Edo turns buildings into grid assets

Edo focuses on commercial buildings, which make up a large share of U.S. electricity use. The company installs technology that connects to existing building systems like HVAC, batteries, solar and EV charging. It links these systems through standard communication protocols and manages them from a central platform. That allows everything to work together instead of operating in silos. Edo then maps out where energy is being used and when. From there, building operators get a clearer picture of what can be adjusted without disrupting daily operations.

For example:

  • Pre-cooling or pre-heating before peak pricing kicks in
  • Charging electric vehicles when electricity is cheaper
  • Shifting flexible tasks to off-peak hours
  • Sending stored solar energy back to the grid

These changes happen with coordination, not guesswork. Utilities can then tap into that flexibility when demand spikes.

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As AI and data centers drive electricity demand higher, utilities are looking to commercial buildings for fast, flexible grid support instead of waiting on new infrastructure. (David Paul Morris/Bloomberg via Getty Images)

Why utilities are paying attention now

This approach solves a real problem. When demand surges, utilities usually face tough choices. They can build new power plants, install large-scale batteries or reduce power through blackouts. All of those options come with high costs or major disruptions. Virtual power plants offer another path. They reduce strain on the grid without building new infrastructure. According to the U.S. Department of Energy, VPPs could provide up to 160 gigawatts of flexible capacity by 2030 if adoption ramps up.

The shift from niche idea to mainstream solution

Virtual power plants have been around for years, mostly in residential settings. Companies like Tesla, Sunrun and EnergyHub already connect home batteries and smart devices.

At the same time, firms like Voltus and CPower Energy focus on large industrial users. Commercial buildings, however, have been largely overlooked. That is where Edo sees opportunity.

Why this matters as AI demand grows

AI is not just a software story. It is an energy story. Massive data centers require huge amounts of electricity. As more companies adopt AI tools, demand will continue to rise.

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That makes flexible energy strategies more important than ever. Instead of racing to build new plants, utilities are rethinking how existing power gets used. Virtual power plants are becoming part of that solution.

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Edo connects HVAC, batteries, solar and EV charging systems, so office buildings can respond in real time when utilities need relief on the grid. (AJ Watt/Getty Images)

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Kurt’s key takeaways

Office buildings are already being used to support the grid. Companies like Edo are working with thousands of properties to adjust energy use in real time when demand spikes. What makes this shift important is how quickly it can scale. Instead of waiting years for new infrastructure, utilities can tap into systems that already exist. As AI demand grows and energy pressure builds, that flexibility could become one of the most practical tools available.

As AI drives up electricity demand, who should take the lead in keeping the grid stable: utilities or the companies using the most power? Let us know by writing to us at Cyberguy.com.

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Wisconsin governor says ‘no’ to age checks for porn

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Wisconsin governor says ‘no’ to age checks for porn

Wisconsin Governor Tony Evers vetoed a bill that would’ve required residents to verify their age before accessing porn sites, as reported earlier by 404 Media. In a letter to the members of the assembly last week, Evers writes that the bill “imposes an intrusive burden on adults who are trying to access constitutionally protected materials.”

The bill (AB 105) would’ve required sites with more than one-third of their total content deemed harmful to minors to impose a “reasonable” form of age verification, such as asking users to show their government-issued ID. More than two dozen states have already passed similar age check requirements for access to adult content, including Arizona, Florida, Georgia, Missouri, Texas, and Virginia. As a result, Pornhub has blocked its site in these locations.

Last month, the Wisconsin American Civil Liberties Union testified that AB-105 “raises significant concerns around privacy, surveillance, and the First Amendment,” and it seems like Governor Evers agreed. “I am vetoing this bill in its entirety because I object to this bill’s intrusion into the personal privacy of Wisconsin residents,” Evers writes, adding that he’s “concerned about data security and the potential for misuse of personally identifiable information” obtained as a result of the age verification process.

An early version of Wisconsin’s age verification bill also included a ban on virtual private networks (VPN), which people have been using to circumvent online age checks. Lawmakers dropped this provision in February, though VPNs are becoming a target for regulators around the globe.

Despite vetoing this bill, Evers is leaving the door open for other kinds of age verification solutions, such as “device-based” methods that would verify the age of users on their phone or computer.

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