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Can this $70,000 robot transform AI research?

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Can this ,000 robot transform AI research?

The folks at Hugging Face, the open-source artificial intelligence gurus, just jumped into the world of robotics by acquiring Pollen Robotics. And right out of the gate, they are offering the Reachy 2, a super-interesting humanoid robot designed as a “lab partner for the AI era.” 

Ready to dive in and see what all the buzz is about?

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Reachy 2 Humanoid robot (Hugging Face)

What makes this humanoid robot so special?

So, what makes Reachy 2 stand out? Well, first off, it’s a state-of-the-art humanoid robot already making waves in labs like Cornell and Carnegie Mellon. It’s designed to be friendly and approachable, inviting natural interaction. This robot is open-source and VR-compatible, perfect for research, education and experimenting with embodied AI.

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The innovative Orbita joint system gives Reachy 2’s neck and wrists smooth, multi-directional movement, making it remarkably expressive. Reachy 2 also features human-inspired arms.

Its mobile base, equipped with omni wheels and lidar, allows for seamless navigation, and the VR teleoperation feature lets you literally see through the robot’s eyes! Finally, its open-source nature fosters collaboration and customization, with Pollen Robotics providing a ton of resources on their Hugging Face organization.

Reachy 2 Humanoid robot (Hugging Face)

HUMANOID ROBOT BREAKDANCES ITS WAY INTO HISTORY

Technical specifications

This humanoid robot combines advanced vision, audio and actuator systems for cutting-edge AI interaction and teleoperation. Here’s a quick look at what Reachy 2 brings to the table. Standing between 4.46 and 5.45 feet tall and weighing in at 110 pounds, it features bio-inspired arms with 7 degrees of freedom, capable of handling payloads up to 6.6 pounds. It’s also equipped with a parallel torque-controlled gripper and multiple cameras for depth perception, plus a high-quality audio system. Navigating its environment is a breeze thanks to its omnidirectional mobile base.

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When it comes to perception, Reachy 2 has a vision module in its head with dual RGB cameras and a Time-of-Flight module for depth measurement. There’s also an RGB-D camera in its torso for accurate depth sensing. Immersive stereo perception is achieved through microphones in Reachy’s antennas.

For interaction, Reachy 2 has custom-built speakers with a high-quality amplifier and a Rode AI-Micro audio interface. Its expressive head is powered by an Orbita system, and it has motorized antennas for enhanced human-robot interaction.

Reachy 2’s manipulation capabilities stem from its Orbita 3D and 2D parallel mechanisms, along with a Dynamixel-based parallel gripper that features torque control.

Controlling Reachy 2 is a Solidrun Bedrock v3000 unit, with AI processing handled on external hardware. Finally, the mobile base includes omnidirectional wheels, Hall sensors and IMU, an RP Lidar S2 and a LiFePO₄ Battery.

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Reachy 2 Humanoid robot (Hugging Face)

WORLD’S FIRST AI-POWERED INDUSTRIAL SUPER-HUMANOID ROBOT

Cost of the humanoid robot

Getting your hands on Reachy 2 will cost you $70,000, a price that reflects its cutting-edge robotics and AI components and open-source capabilities, making it a serious investment for researchers and educators looking to push the boundaries of human-robot interaction.

Reachy 2 Humanoid robot (Hugging Face)

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HUMANOID ROBOT STUNS WITH PERFECT SIDE FLIP ACROBATICS

Hugging Face and Pollen Robotics team up

So, what does Hugging Face scooping up Pollen Robotics really mean? Well, it could signal a big push toward making robotics more accessible. Think of it this way: Hugging Face co-founder Thomas Wolf and chief scientist at Hugging Face says, “We believe robotics could be the next frontier unlocked by AI, and it should be open, affordable, and private.”

Matthieu Lapeyre, Pollen Robotics co-founder, echoes this sentiment: “Hugging Face is a natural home for us to grow, as we share a common goal: putting AI and robotics in the hands of everyone.”

Hugging Face’s acquisition of Pollen Robotics represents its fifth acquisition after Gradio and Xethub. This move solidifies Hugging Face’s commitment to open-source AI and its vision for a future where AI and robotics are accessible to all.

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Reachy 2 Humanoid robot (Hugging Face)

Kurt’s key takeaways

Bottom line? Hugging Face is making moves. Who knows, maybe one day we’ll all have our own Reachy to help with the chores (or just keep us company). Either way, the collaboration between Hugging Face and Pollen Robotics is definitely worth keeping an eye on.

If you could use a robot like Reachy 2 for any purpose, what would it be and why? Let us know by writing us at Cyberguy.com/Contact.

For more of my tech tips and security alerts, subscribe to my free CyberGuy Report Newsletter by heading to Cyberguy.com/Newsletter.

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Microsoft’s carbon emissions went up 25 percent last year

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Microsoft’s carbon emissions went up 25 percent last year

Microsoft may once again be struggling to keep up with its own climate goals, according to its 2026 sustainability report. As reported by GeekWire, the report states that Microsoft’s carbon emissions increased 25 percent in 2025, totalling 34 million metric tons “without select interventions.” Microsoft says this was “driven primarily by the expansion of our datacenter infrastructure,” as well as the company’s decision last February to stop purchasing “non-additional, unbundled renewable energy certificates.”

Several years ago, Microsoft set itself a goal to be carbon negative by 2030, meaning it will need to remove more carbon emissions than it produces. This isn’t the first time Microsoft has faced setbacks toward accomplishing that goal, as its 2024 sustainability report showed a similar rise in climate pollution. This year’s report admits that, “While AI infrastructure is driving demand for energy, water, land, and materials, sustainability solutions are not scaling fast enough to meet demand.”

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Google turns old phones into cloud servers

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Google turns old phones into cloud servers

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That old phone sitting in your drawer may have more life left in it than you think. You may look at it and see a dead battery, an outdated camera or a screen that no longer feels worth using. Google and researchers at the University of California San Diego see something else: a tiny computer that may still have useful processing power.

Their idea is called phone cluster computing. Instead of treating retired smartphones as electronic waste, researchers remove the motherboard and redeploy it as part of a low-carbon computing system.

Google says UC San Diego plans to launch a data center built from 2,000 Pixel smartphones in fall 2026. The goal is to provide low-cost cloud computing for students and researchers while reducing the need for newly manufactured server hardware.

That means the next chapter for an old phone may not be a junk drawer. It may be a server rack.

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Researchers plan to launch a 2,000-phone data center at UC San Diego in fall 2026 to support students and research workloads. (Kurt “CyberGuy” Knutsson)

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What is phone cluster computing?

Phone cluster computing takes retired smartphones and turns their core hardware into a computing platform. The process starts by stripping each phone down to the motherboard. That board holds the processor, memory and storage. The display, battery, cameras, chassis and other phone-specific parts are removed.

That step is important because a full phone does not belong in a data center. Batteries can create safety issues. Screens and cameras waste space. The motherboard is the part that still offers computing value.

Once the board is removed, researchers load a general-purpose Linux system onto it. Android already runs on Linux at its core, but Android is built for mobile apps and personal devices. A data center needs something more flexible for cloud workloads. After that, the phone boards can be grouped into clusters. Many small boards then work together like a collection of tiny servers.

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Why Google wants old Pixel phones for cloud computing

The AI boom has created a huge appetite for computing power. Data centers need more chips, more electricity and more cooling. At the same time, billions of phones fall out of use around the world.

This Google-backed project takes that conversation in a different direction by asking whether some useful computing can come from hardware we already made.

The project focuses on embodied carbon. That means the emissions created before a device ever turns on. Mining, manufacturing and shipping all add to that carbon footprint.

If a phone motherboard already exists, reusing it can avoid some of the environmental cost tied to manufacturing new hardware. Google says the motherboard accounts for about half of a phone’s embodied carbon, which makes it the most valuable part to recover.

How retired smartphones become low-carbon servers

You cannot plug a pile of old phones into a rack and call it a data center. The process requires careful teardown, new software and a way to manage many boards at once. Google says the project uses containerized applications managed by Kubernetes. That helps coordinate the work across many devices.

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The phones are organized into self-managing clusters of about 25 to 50 boards. Each board works as a small Linux machine. Together, they can handle tasks that would otherwise run on traditional cloud servers. That does not make one phone equal to one server. A server has many more processor cores, more memory and data center-grade hardware. A phone board has fewer resources and tighter limits. Still, some jobs do not need a giant machine. They need enough compute to run efficiently without wasting resources.

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Google and UC San Diego are testing a cloud computing system built from retired Pixel phone motherboards, giving old smartphones a possible second life. (Google)

Can old phone processors handle cloud workloads?

The technical case is stronger than you may expect. Google says the single-threaded performance of modern smartphone performance cores can match or beat the per-core performance of some modern multicore servers. In one comparison, a 2023 Pixel Fold was tested against an ASUS RS720A-E11 server using SPEC benchmarks. The Pixel Fold’s performance cores beat the baseline data center server core on many of the tests. That sounds impressive, but there is an important catch.

A smartphone board has a smaller memory limit and fewer cores. It also lacks the management tools and hardware durability that servers are built around. So the project needs the right workloads.

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UC San Diego is starting with educational and research computing. That makes sense because many classroom tasks can run on small cloud instances. Google says early experiments showed that a 20-phone cluster could support peak submission rates for a class of more than 75 students. The grading latency also came in below the default AWS backend used in the comparison.

Why UC San Diego is testing a 2,000 Pixel phone data center

UC San Diego plans to use the 2,000-phone cluster to support computer science classes and research workloads. Google says the deployment could support about 100 classes at once. It also describes the system as providing about 50 server-equivalents worth of compute at a fraction of the usual cost.

For a university, that could be a major advantage. Cloud computing costs can rise quickly, especially when many students submit assignments at the same time. If a reused phone cluster can handle some of that load, schools may save money while reducing demand for newly manufactured servers.

This also gives researchers a chance to test phone-based computing at scale. A small lab demo can look promising. A 2,000-board deployment will show much more about reliability, maintenance and day-to-day performance.

Phone cluster computing still has big limits

Phone cluster computing sounds promising, but it still has a lot to prove. Your smartphone was made for daily use in your hand, not nonstop work inside a data center. Data center servers are built to run for years with steady cooling, fast repairs and constant monitoring. Phone motherboards come from devices made for pockets, backpacks and kitchen counters. That alone raises some big questions.

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The boards could fail faster than expected. Cooling may also become a challenge once thousands of tiny processors run side by side. Then there is the labor problem, because someone has to safely remove batteries, screens and other parts before the boards can be reused. Cost will be the deciding factor. If teardown, maintenance and replacement work get too expensive, this idea may stay in the research lab.

Phone clusters also will not replace the massive GPU systems that power advanced AI training. They make more sense for smaller cloud jobs, classroom tools and research tasks that fit within smartphone hardware limits. That still leaves plenty of useful work. After all, not every cloud task needs the newest chip.

Why old smartphones could help cut e-waste

The world’s e-waste problem is growing fast. The Global E-waste Monitor projects that electronic waste could climb to 82 million tonnes by 2030, while formal collection and recycling rates are expected to fall to 20%. Old phones are a big part of that problem because many never make it to a proper recycling program. They sit in drawers, land in closets or get tossed out with valuable parts still inside. Even when a phone no longer feels useful to you, its processor, memory and storage may still have work left to do.

CyberGuy has covered related second-life ideas before, including old smartphones being turned into tiny data centers and repurposed EV batteries helping power AI data centers. The common theme is hard to ignore. Some of the hardware already in circulation may still have useful work left to do.

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Google says reusing smartphone motherboards could cut hardware waste and reduce the carbon cost of building new data center servers. (Yawar Nazir/Getty Images)

How to safely recycle or reuse your old phone

This research does not mean you should toss your old phone into a random donation bin tomorrow. Before you recycle, donate, trade in or sell an old phone, you need to protect your data. Back up anything you want to keep. Then sign out of your accounts and securely wipe the device.

CyberGuy has a helpful guide on how to securely get rid of your old cell phone. Privacy comes first whenever you part with a device.

You can also consider trade-in programs, certified refurbishers or reputable electronics recycling programs. If the phone still works, buying refurbished can also keep devices in use longer. CyberGuy has covered what to know before buying refurbished electronics, which is helpful if you want to save money without taking a gamble. The key is to avoid letting old devices sit forgotten forever. A phone in a drawer helps no one.

What this means to you

That old phone in your drawer may not be as useless as it looks. Even if the battery is tired or the camera feels outdated, the processor inside may still have real value.

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Now, you probably will not be mailing your old phone to a Google data center anytime soon. Still, this project points to a bigger shift in how we think about retired tech. Instead of sending every old device straight to recycling or letting it collect dust, companies, schools and researchers may find smarter ways to reuse the parts that still work.

There is also a money lesson here. If your current phone still runs well, you may not need to rush into an upgrade just because a newer model comes out. A battery replacement, trade-in or refurbished option could save you money while keeping perfectly good hardware in use longer. To me, that is the real takeaway. The phone you forgot about could possibly still have a job to do.

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Kurt’s key takeaways

Google and UC San Diego are testing how to turn retired Pixel phone motherboards into a low-carbon cloud computing platform. The project could give old smartphones a second life while reducing the need for newly manufactured servers. That is important as AI data centers keep demanding more computing power and more electricity. The first major test is expected in fall 2026 with a 2,000-phone data center at UC San Diego. If it works, the cluster could support students and researchers at a lower cost than traditional cloud infrastructure. However, this idea still has to prove it can handle the grind of daily use. Reliability, cooling, teardown labor and maintenance will determine whether phone cluster computing can grow beyond just research. To me, the most relatable part is sitting in your junk drawer. That old phone may seem useless, but its processor could still be powerful enough to help run cloud jobs. Maybe the future of computing starts with hardware we already forgot we owned.

Would you feel good knowing your old phone could help power cloud computing? Let us know by writing to us at CyberGuy.com.

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Google’s Nest Thermostat has hit its best price of the year

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Google’s Nest Thermostat has hit its best price of the year

If you’re looking for a relatively affordable way to cut down on cooling costs, Google’s Nest Thermostat can help. It’s packed with smart controls and energy-saving features, and right now it’s on sale in white for $79 ($50 off), which is its best price of the year, at Amazon.

The smart thermostat is quick to install and makes it easy to adjust your home’s temperature whether you’re relaxing in bed or on your way home thanks to the Google Home app. You can also create schedules and control it with your voice using Google Assistant, Alexa, or another Matter-compatible voice assistant.

Once it’s set up, the Nest Thermostat can automatically turn the temperature down when you’re away to help reduce unnecessary energy use, while Google’s Savings Finder feature suggests additional ways to save over time. It also monitors your HVAC system and can alert you if something doesn’t seem right, making it easier to stay on top of maintenance before small issues become bigger, more expensive ones. If you’re eligible, Nest Renew can also automatically shift some of your heating and cooling to times when electricity is cleaner or cheaper.

That said, this is Google’s entry-level model from 2020, so you do miss out on some of the premium features found on the latest Nest Learning Thermostat. Unlike the flagship version, it won’t learn your schedule automatically over time, for example, and lacks support for Nest Temperature Sensors that let you prioritize the temperature in a specific room. Even so, if all you want is an easy way to adjust your home’s temperature remotely and potentially lower your energy bills, the Nest Thermostat is still a solid investment at this price.

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