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HumanPlus robot can go from playing piano to ping-pong to boxing

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HumanPlus robot can go from playing piano to ping-pong to boxing

Researchers at Stanford University have created an innovative humanoid robot called “HumanPlus” that can learn and perform a wide range of tasks by observing human actions. This breakthrough in robotics brings us one step closer to developing truly versatile and adaptable machines.

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HumanPlus humanoid robot playing ping-pong (Stanford University) (Kurt “CyberGuy” Knutsson)

Technical specifications

Built on Unitree’s H1 robot base, with hands from Inspire-Robots and custom wrists, HumanPlus stands 5 feet 9 inches tall. It features a 6-DoF (degrees of freedom) hand, which includes one degree of freedom for each of the index, middle, ring and little fingers, plus two degrees of freedom for the thumb. This configuration allows for complex hand movements and manipulations.

The robot also has a 1-DoF wrist, which means it can rotate in one plane, likely allowing for up and down or side-to-side movement, calculated using the relative rotation between the forearm and hand global orientations.

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HumanPlus humanoid robot (Stanford University) (Kurt “CyberGuy” Knutsson)

It features 33 degrees of freedom, two RGB webcams mounted on its head, a finger force capacity of up to 10N, an arm payload of up to 16.5 pounds and leg motor torque of up to 360Nm.

N stands for Newtons, which is the standard unit of force. 10N means the robot’s fingers can exert a force of up to 10 Newtons. This is equivalent to about 2.25 pounds-force, indicating the gripping strength of the robot’s fingers.

Nm stands for Newton meters, the standard unit for torque. 360Nm means the motors in the robot’s legs can generate a rotational force of up to 360 Newton meters. This is a significant amount of torque, indicating powerful leg motors capable of performing tasks that require substantial force and movement.

These specifications give us an idea of the robot’s grip strength and leg power capabilities, which are crucial for various tasks like manipulation and locomotion.

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HumanPlus humanoid robot folding clothes (Stanford University) (Kurt “CyberGuy” Knutsson)

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Learning through observation

HumanPlus utilizes a single RGB camera and a whole-body policy to clone human motion in real time. The robot can learn various activities, including boxing, playing the piano, ping-pong, tossing objects and typing.

HumanPlus humanoid robot boxing (Stanford University) (Kurt “CyberGuy” Knutsson)

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The system requires approximately 40 hours of human movement data to learn a task and then reproduce it step by step.

HumanPlus humanoid robot playing the piano (Stanford University) (Kurt “CyberGuy” Knutsson)

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Impressive task performance

HumanPlus has also demonstrated remarkable capabilities in various tasks, including wearing shoes and walking, unloading objects from warehouse racks, folding clothes, rearranging objects, typing and greeting another robot. The robot achieved success rates of 60%-100% in these tasks using up to 40 demonstrations.

HumanPlus humanoid robot wearing and walking in shoes (Stanford University) (Kurt “CyberGuy” Knutsson)

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Cost considerations

While HumanPlus represents a significant advancement in humanoid robotics, it comes with a substantial price tag. The researchers estimate the cost of building a working model at approximately $107,945. However, given its versatility, it may still be one of the more cost-effective options currently available on the market.

HumanPlus humanoid robot folding clothes (Stanford University) (Kurt “CyberGuy” Knutsson)

Open-source design

One of the most notable aspects of HumanPlus is its open-source design. The researchers have released a GitHub repository, allowing others to build similar models and contribute to its development.

HumanPlus humanoid robot unloading objects from warehouse racks (Stanford University) (Kurt “CyberGuy” Knutsson)

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Kurt’s key takeaways

HumanPlus’s ability to learn from human demonstrations and perform a wide range of tasks showcases the potential for more adaptable and versatile robots in the future. The open-source nature of the project encourages collaboration and further development, which could accelerate progress in this field.

As humanoid robots continue to evolve and improve, we may see them playing increasingly important roles in various industries, from manufacturing and healthcare to entertainment and education. While the current cost of HumanPlus may limit its immediate widespread adoption, ongoing research and development could lead to more affordable versions in the future, potentially revolutionizing how we interact with and utilize robotic assistants in our daily lives.

What everyday task or skill would you most like to see HumanPlus learn and perform and why? Let us know by writing us at Cyberguy.com/Contact.

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LG’s CLOiD robot can load the washer for you, slowly

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LG’s CLOiD robot can load the washer for you, slowly

LG’s CLOiD robot took the stage at CES 2026 on Monday, offering our first look at the bot in action. During LG’s keynote, the company showed how CLOiD can load your washer or dryer — albeit slowly – as part of its goal of creating a “zero labor home.”

CLOiD waved both of its five-finger hands as it rolled out on stage. Brandt Varner, LG’s vice president of sales in its home appliances division, followed behind and asked the bot to take care of the wet towel he was holding. “Sure, I’ll get the laundry started,” CLOiD said in a masculine-sounding voice. “Let me show everyone what I can do.”

The bot’s animated eyes “blinked” as it rolled closer to a washer that opened automatically (I hope CLOiD can open that door itself!), extending its left arm into the washer and dropping the towel into the drum. The whole process — from getting the towel to putting it in the machine — took nearly 30 seconds, which makes me wonder how long it would take to load a week’s worth of laundry.

The bot returned later in the keynote to bring a bottle of water to another presenter, Steve Scarbrough, the senior vice president of LG’s HVAC division. “I noticed by your voice and tone that you might want some water,” it said before handing over the bottle and giving Scarbrough a fist bump.

There’s still no word on when, or if, LG CLOiD will ever be available for purchase, but at least we’ll have WALL-E’s weird cousin to help out with some tasks around the home.

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Can AI chatbots trigger psychosis in vulnerable people?

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Can AI chatbots trigger psychosis in vulnerable people?

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Artificial intelligence chatbots are quickly becoming part of our daily lives. Many of us turn to them for ideas, advice or conversation. For most, that interaction feels harmless. However, mental health experts now warn that for a small group of vulnerable people, long and emotionally charged conversations with AI may worsen delusions or psychotic symptoms.

Doctors stress this does not mean chatbots cause psychosis. Instead, growing evidence suggests that AI tools can reinforce distorted beliefs among individuals already at risk. That possibility has prompted new research and clinical warnings from psychiatrists. Some of those concerns have already surfaced in lawsuits alleging that chatbot interactions may have contributed to serious harm during emotionally sensitive situations.

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What psychiatrists are seeing in patients using AI chatbots

Psychiatrists describe a repeating pattern. A person shares a belief that does not align with reality. The chatbot accepts that belief and responds as if it were true. Over time, repeated validation can strengthen the belief rather than challenge it.

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Mental health experts warn that emotionally intense conversations with AI chatbots may reinforce delusions in vulnerable users, even though the technology does not cause psychosis. (Philip Dulian/picture alliance via Getty Images)

Clinicians say this feedback loop can deepen delusions in susceptible individuals. In several documented cases, the chatbot became integrated into the person’s distorted thinking rather than remaining a neutral tool. Doctors warn that this dynamic raises concern when AI conversations are frequent, emotionally engaging and left unchecked.

Why AI chatbot conversations feel different from past technology

Mental health experts note that chatbots differ from earlier technologies linked to delusional thinking. AI tools respond in real time, remember prior conversations and adopt supportive language. That experience can feel personal and validating. 

For individuals already struggling with reality testing, those qualities may increase fixation rather than encourage grounding. Clinicians caution that risk may rise during periods of sleep deprivation, emotional stress or existing mental health vulnerability.

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How AI chatbots can reinforce false or delusional beliefs

Doctors say many reported cases center on delusions rather than hallucinations. These beliefs may involve perceived special insight, hidden truths or personal significance. Chatbots are designed to be cooperative and conversational. They often build on what someone types rather than challenge it. While that design improves engagement, clinicians warn it can be problematic when a belief is false and rigid.

Mental health professionals say the timing of symptom escalation matters. When delusions intensify during prolonged chatbot use, AI interaction may represent a contributing risk factor rather than a coincidence.

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Psychiatrists say some patients report chatbot responses that validate false beliefs, creating a feedback loop that can worsen symptoms over time. (Nicolas Maeterlinck/Belga Mag/AFP via Getty Images)

What research and case reports reveal about AI chatbots

Peer-reviewed research and clinical case reports have documented people whose mental health declined during periods of intense chatbot engagement. In some instances, individuals with no prior history of psychosis required hospitalization after developing fixed false beliefs connected to AI conversations. International studies reviewing health records have also identified patients whose chatbot activity coincided with negative mental health outcomes. Researchers emphasize that these findings are early and require further investigation.

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A peer-reviewed Special Report published in Psychiatric News titled “AI-Induced Psychosis: A New Frontier in Mental Health” examined emerging concerns around AI-induced psychosis and cautioned that existing evidence is largely based on isolated cases rather than population-level data. The report states: “To date, these are individual cases or media coverage reports; currently, there are no epidemiological studies or systematic population-level analyses of the potentially deleterious mental health effects of conversational AI.” The authors emphasize that while reported cases are serious and warrant further investigation, the current evidence base remains preliminary and heavily dependent on anecdotal and nonsystematic reporting.

What AI companies say about mental health risks

OpenAI says it continues working with mental health experts to improve how its systems respond to signs of emotional distress. The company says newer models aim to reduce excessive agreement and encourage real-world support when appropriate. OpenAI has also announced plans to hire a new Head of Preparedness, a role focused on identifying potential harms tied to its AI models and strengthening safeguards around issues ranging from mental health to cybersecurity as those systems grow more capable.

Other chatbot developers have adjusted policies as well, particularly around access for younger audiences, after acknowledging mental health concerns. Companies emphasize that most interactions do not result in harm and that safeguards continue to evolve.

What this means for everyday AI chatbot use

Mental health experts urge caution, not alarm. The vast majority of people who interact with chatbots experience no psychological issues. Still, doctors advise against treating AI as a therapist or emotional authority. Those with a history of psychosis, severe anxiety or prolonged sleep disruption may benefit from limiting emotionally intense AI conversations. Family members and caregivers should also pay attention to behavioral changes tied to heavy chatbot engagement.

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Researchers are studying whether prolonged chatbot use may contribute to mental health declines among people already at risk for psychosis. (Photo Illustration by Jaque Silva/NurPhoto via Getty Images)

Tips for using AI chatbots more safely

Mental health experts stress that most people can interact with AI chatbots without problems. Still, a few practical habits may help reduce risk during emotionally intense conversations.

  • Avoid treating AI chatbots as a replacement for professional mental health care or trusted human support.
  • Take breaks if conversations begin to feel emotionally overwhelming or all-consuming.
  • Be cautious if an AI response strongly reinforces beliefs that feel unrealistic or extreme.
  • Limit late-night or sleep-deprived interactions, which can worsen emotional instability.
  • Encourage open conversations with family members or caregivers if chatbot use becomes frequent or isolating.

If emotional distress or unusual thoughts increase, experts say it is important to seek help from a qualified mental health professional.

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Kurt’s key takeaways

AI chatbots are becoming more conversational, more responsive and more emotionally aware. For most people, they remain helpful tools. For a small but important group, they may unintentionally reinforce harmful beliefs. Doctors say clearer safeguards, awareness and continued research are essential as AI becomes more embedded in our daily lives. Understanding where support ends and reinforcement begins could shape the future of both AI design and mental health care.

As AI becomes more validating and humanlike, should there be clearer limits on how it engages during emotional or mental health distress? Let us know by writing to us at Cyberguy.com.

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Birdbuddy’s new smart feeders aim to make spotting birds easier, even for beginners

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Birdbuddy’s new smart feeders aim to make spotting birds easier, even for beginners

Birdbuddy is introducing two new smart bird feeders: the flagship Birdbuddy 2 and the more compact, cheaper Birdbuddy 2 Mini aimed at first-time users and smaller outdoor spaces. Both models are designed to be faster and easier to use than previous generations, with upgraded cameras that can shoot in portrait or landscape and wake instantly when a bird lands so you’re less likely to miss the good stuff.

The Birdbuddy 2 costs $199 and features a redesigned circular camera housing that delivers 2K HDR video, slow-motion recording, and a wider 135-degree field of view. The upgraded built-in mic should also better pick up birdsong, which could make identifying species easier using both sound and sight.

The feeder itself offers a larger seed capacity and an integrated perch extender, along with support for both 2.4GHz and 5GHz Wi-Fi for more stable connectivity. The new model also adds dual integrated solar panels to help keep it powered throughout the day, while adding a night sleep mode to conserve power.

The Birdbuddy 2 Mini is designed to deliver the same core AI bird identification and camera experience, but in a smaller, more accessible package. At 6.95 inches tall with a smaller seed capacity, it’s geared toward first-time smart birders and smaller outdoor spaces like balconies, and it supports an optional solar panel.

Birdbuddy 2’s first batch of preorders has already sold out, with shipments expected in February 2026 and wider availability set for mid-2026. Meanwhile, the Birdbuddy 2 Mini will be available to preorder for $129 in mid-2026, with the company planning on shipping the smart bird feeder in late 2026.

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