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Videos: Farming Robots, Humanoid Robots, and More

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Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

ICRA 2026: 1–5 June 2026, VIENNA

Enjoy today’s videos!

Our robots Lynx M20 help transport harvested crops in mountainous farmland—tackling the rural “last mile” logistics challenge.

[ DEEP Robotics ]

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Once again, I would point out that now that we are reaching peak humanoid robots doing humanoid things, we are inevitably about to see humanoid robots doing non-humanoid things.

[ Unitree ]

In a study, a team of researchers from the Max Planck Institute for Intelligent Systems, the University of Michigan, and Cornell University show that groups of magnetic microrobots can generate fluidic forces strong enough to rotate objects in different directions without touching them. These microrobot swarms can turn gear systems, rotate objects much larger than the robots themselves, assemble structures on their own, and even pull in or push away many small objects.

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[ Science ] via [ Max Planck Institute ]

Bipedal—or two-legged—autonomous robots can be quite agile. This makes them useful for performing tasks on uneven terrain, such as carrying equipment through outdoor environments or performing maintenance on an ocean-going ship. However, unstable or unpredictable conditions also increase the possibility of a robot wipeout. Until now, there’s been a significant lack of research into how a robot recovers when its direction shifts—for example, a robot losing balance when a truck makes a quick turn. The team aims to fix this research gap.

[ Georgia Tech ]

Robotics is about controlling energy, motion, and uncertainty in the real world.

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[ Carnegie Mellon University ]

Delicious dinner cooked by our robot Robody. We’ve asked our investors to speak about why they’re along for the ride.

[ Devanthro ]

Tilt-rotor aerial robots enable omnidirectional maneuvering through thrust vectoring, but introduce significant control challenges due to the strong coupling between joint and rotor dynamics. This work investigates reinforcement learning for omnidirectional aerial motion control on over-actuated tiltable quadrotors that prioritizes robustness and agility.

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[ DRAGON Lab ]

At the CMU Robotic Innovation Center’s 75,000-gallon water tank, members of the TartanAUV student group worked to further develop their autonomous underwater vehicle (AUV) called Osprey. The team, which takes part in the annual RoboSub competition sponsored by the U.S. Office of Naval Research, is comprised primarily of undergraduate engineering and robotics students.

[ Carnegie Mellon University ]

Sure seems like the only person who would want a robot dog is a person who does not in fact want a dog.

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Compact size, industrial capability. Maximum torque of 90N·m, over 4 hours of no-load runtime, IP54 rainproof design. With a 15 kg payload, range exceeds 13 km. Open secondary development, empowering industry applications.

[ Unitree ]

If your robot video includes tasty baked goods it WILL be included in Video Friday.

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[ QB Robotics ]

Astorino is a 6-axis educational robot created for practical and affordable teaching of robotics in schools and beyond. It has been created with 3D printing, so it allows for experimentation and the possible addition of parts. With its design and programming, it replicates the actions of industrial robots giving students the necessary skills for future work.

[ Astorino by Kawasaki ]

We need more autonomous driving datasets that accurately reflect how sucky driving can be a lot of the time.

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[ ASRL ]

This Carnegie Mellon University Robotics Institute Seminar is by CMU’s own Victoria Webster-Wood, on “Robots as Models for Biology and Biology and Materials for Robots.”

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In the last century, it was common to envision robots as shining metal structures with rigid and halting motion. This imagery is in contrast to the fluid and organic motion of living organisms that inhabit our natural world. The adaptability, complex control, and advanced learning capabilities observed in animals are not yet fully understood, and therefore have not been fully captured by current robotic systems. Furthermore, many of the mechanical properties and control capabilities seen in animals have yet to be achieved in robotic platforms. In this talk, I will share an interdisciplinary research vision for robots as models for neuroscience and biology as materials for robots.

[ CMU RI ]

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OpenAI’s big investment from AWS comes with something else: new ‘stateful’ architecture for enterprise agents

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The landscape of enterprise artificial intelligence shifted fundamentally today as OpenAI announced $110 billion in new funding from three of tech’s largest firms: $30 billion from SoftBank, $30 billion from Nvidia, and $50 billion from Amazon.

But while the former two players are providing money, OpenAI is going further with Amazon in a new direction, establishing an upcoming fully “Stateful Runtime Environment” on Amazon Web Services (AWS), the world’s most used cloud environment.

This signals OpenAI’s and Amazon’s vision of the next phase of the AI economy — moving from chatbots to autonomous “AI coworkers” known as agents — and that this evolution requires a different architectural foundation than the one that built GPT-4.

For enterprise decision-makers, this announcement isn’t just a headline about massive capital; it is a technical roadmap for where the next generation of agentic intelligence will live and breathe.

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And especially for those enterprises currently using AWS, it’s great news, giving them more options with a new runtime environment from OpenAI coming soon (the companies have yet to announce a precise timeline for when it will arrive).

The great divide between ‘stateless’ and ‘stateful’

At the heart of the new OpenAI-Amazon partnership is a technical distinction that will define developer workflows for the next decade: the difference between “stateless” and “stateful” environments.

To date, most developers have interacted with OpenAI through stateless APIs. In a stateless model, every request is an isolated event; the model has no “memory” of previous interactions unless the developer manually feeds the entire conversation history back into the prompt. OpenAI’s prior cloud partner and major investor, Microsoft Azure, remains the exclusive third-party cloud provider for these stateless APIs.

The newly announced Stateful Runtime Environment, by contrast, will be hosted on Amazon Bedrock — a paradigm shift.

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This environment allows models to maintain persistent context, memory, and identity. Rather than a series of disconnected calls, the stateful environment enables “AI coworkers” to handle ongoing projects, remember prior work, and move seamlessly across different software tools and data sources.

As OpenAI notes on its website: “Now, instead of manually stitching together disconnected requests to make things work, your agents automatically execute complex steps with ‘working context’ that carries forward memory/history, tool and workflow state, environment use, and identity/permission boundaries.”

For builders of complex agents, this reduces the “plumbing” required to maintain context, as the infrastructure itself now handles the persistent state of the agent.

OpenAI Frontier and the AWS Integration

The vehicle for this stateful intelligence is OpenAI Frontier, an end-to-end platform designed to help enterprises build, deploy, and manage teams of AI agents, launched back in early February 2026.

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Frontier is positioned as a solution to the “AI opportunity gap”—the disconnect between model capabilities and the ability of a business to actually put them into production.

Key features of the Frontier platform include:

  • Shared Business Context: Connecting siloed data from CRMs, ticketing tools, and internal databases into a single semantic layer.

  • Agent Execution Environment: A dependable space where agents can run code, use computer tools, and solve real-world problems.

  • Built-in Governance: Every AI agent has a unique identity with explicit permissions and boundaries, allowing for use in regulated environments.

While the Frontier application itself will continue to be hosted on Microsoft Azure, AWS has been named the exclusive third-party cloud distribution provider for the platform.

This means that while the “engine” may sit on Azure, AWS customers will be able to access and manage these agentic workloads directly through Amazon Bedrock, integrated with AWS’s existing infrastructure services.

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OpenAI opens the door to enterprises: how to register your interest in its upcoming new Stateful Runtime Environment on AWS

For now, OpenAI has launched a dedicated Enterprise Interest Portal on its website. This serves as the primary intake point for organizations looking to move past isolated pilots and into production-grade agentic workflows.

The portal is a structured “request for access” form where decision-makers provide:

  • Firmographic Data: Basic details including company size (ranging from startups of 1–50 to large-scale enterprises with 20,000+ employees) and contact information.

  • Business Needs Assessment: A dedicated field for leadership to outline specific business challenges and requirements for “AI coworkers”.

By submitting this form, enterprises signal their readiness to work directly with OpenAI and AWS teams to implement solutions like multi-system customer support, sales operations, and finance audits that require high-reliability state management.

Community and leadership reactions

The scale of the announcement was mirrored in the public statements from the key players on social media.

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Sam Altman, CEO of OpenAI, expressed excitement about the Amazon partnership, specifically highlighting the “stateful runtime environment” and the use of Amazon’s custom Trainium chips.

However, Altman was quick to clarify the boundaries of the deal: “Our stateless API will remain exclusive to Azure, and we will build out much more capacity with them”.

Amazon CEO Andy Jassy emphasized the demand from his own customer base, stating, “We have lots of developers and companies eager to run services powered by OpenAI models on AWS”. He noted that the collaboration would “change what’s possible for customers building AI apps and agents”.

Early adopters have already begun to weigh in on the utility of the Frontier approach. Joe Park, EVP at State Farm, noted that the platform is helping the company accelerate its AI capabilities to “help millions plan ahead, protect what matters most, and recover faster”.

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The enterprise decision: where to spend your dollars?

For CTOs and enterprise decision-makers, the OpenAI-Amazon-Microsoft triangle creates a new set of strategic choices. The decision of where to allocate budget now depends heavily on the specific use case:

  1. For High-Volume, Standard Tasks: If your organization relies on standard API calls for content generation, summarization, or simple chat, Microsoft Azure remains the primary destination. These “stateless” calls are exclusive to Azure, even if they originate from an Amazon-linked collaboration.

  2. For Complex, Long-Running Agents: If your goal is to build “AI coworkers” that require deep integration with AWS-hosted data and persistent memory across weeks of work, the AWS Stateful Runtime Environment is the clear choice.

  3. For Custom Infrastructure: OpenAI has committed to consuming 2 gigawatts of AWS Trainium capacity to power Frontier and other advanced workloads. This suggests that enterprises looking for the most cost-efficient way to run OpenAI models at massive scale may find an advantage in the AWS-Trainium ecosystem.

Licensing, revenue and the Microsoft ‘safety net’

Despite the massive infusion of Amazon capital, the legal and financial ties between Microsoft and OpenAI remain remarkably rigid. A joint statement released by both companies clarified that their “commercial and revenue share relationship remains unchanged”.

Crucially, Microsoft continues to maintain its “exclusive license and access to intellectual property across OpenAI models and products”. Furthermore, Microsoft will receive a share of the revenue generated by the OpenAI-Amazon partnership.

This ensures that while OpenAI is diversifying its infrastructure, Microsoft remains the ultimate beneficiary of OpenAI’s commercial success, regardless of which cloud the compute actually runs on.

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The definition of Artificial General Intelligence (AGI) also remains a protected term in the Microsoft agreement. The contractual processes for determining when AGI has been reached—and the subsequent impact on commercial licensing—have not been altered by the Amazon deal.

Ultimately, OpenAI is positioning itself as more than a model or tool provider; it is an infrastructure player attempting to straddle the two largest clouds on Earth.

For the user, this means more choice and more specialized environments. For the enterprise, it means that the era of “one-size-fits-all” AI procurement is over.

The choice between Azure and AWS for OpenAI services is now a technical decision about the nature of the work itself: whether your AI needs to simply “think” (stateless) or to “remember and act” (stateful).

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18 Best Wireless Chargers, All Tested and Reviewed (2026)

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Other Wireless Chargers We Tested

There are a lot of wireless chargers. Here are a few more we like, but for one reason or another don’t warrant a place above.

18 Best Wireless Chargers All Tested and Reviewed

Photograph: Simon Hill

Krafted Couch Wireless Charger for $52: I thought this wireless charger that’s designed to be draped over the arm of your couch was a great idea when I saw it, but the ridges failed to keep it in place on my velvety couch, so it kept slipping down the side. The silicone finish with the Krafted logo is also a bit ugly. It’s just a silicone mat with a magnetic charger inside, though there is a fairly generous 6.6-foot (2-meter) cable, and it is Qi2 rated. If you’re always rooting around for a charger and one of the colors blends well with your furniture, it might be a good solution for you.

Einova Eggtronic Charging Stone for $70: Made with 100 percent solid marble or stone—you can choose from a variety. Every single pick in this guide looks very much like a wireless charger, but I’ve had visiting friends ask if this one is a drink coaster. (I’m still figuring out whether that’s a good or bad thing.) It has zero LEDs, perfect for bedrooms; just try to hide the cable to truly make it blend into your home. We recommend putting a case on your phone when using it with this charger, as there’s a risk of scuffing up the back with these harder surfaces.

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Baseus Nomos a rectangular charging station with a panel angled upward to prop a phone against

Photograph: Simon Hill

Baseus Nomos 5-in-1 Charging Station for $100: If you liked the PicoGo W2 above but need more gadget-charging power, this 5-in-1 could be worth a look. It also has a tilting pad and retractable USB-C cable, but adds two more USB-C ports and one USB-A, along with a stats-filled display. It’s perfect for your desktop. I also tried and quite liked the Baseus Nomos 8-in-1 Magnetic Charging Station ($70), which combines a similar folding Qi2 pad with three US AC outlets, three USB-C ports, and one USB-A.

Rapport London Formula Wireless Charging Tray for $475: Yes, this is an obscene price for a Qi wireless charger. You can probably make a version for a fraction of the cost. But Rapport’s build quality is quite nice, with a lacquered grey box and a soft-touch fabric to keep your watches and phone scratch-free. It reliably recharged several Android phones without making them too warm, all while offering storage for a few watches. It’s attractive, but you have to have cash to burn at this price.

iOttie iOS Wireless Duo for $50: This dual-charging system looks pretty—I like the fabric-wrapped stand—and you can charge another device on the rubberized charging pad next to it. The stand can be used in portrait or landscape, though in the latter orientation it’ll block the pad. I use the pad to top up my wireless earbuds, but I wouldn’t use this iOttie on a nightstand, because the LED on the front can be glaring. A cable and adapter are included, which makes it a good value. It can charge Pixel phones at up to 15 watts, iPhones at 7.5 watts, and other Android phones at 10 watts.

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Journey Alti Play Performance Desk Mat for $120: This is a desk mat that doubles as a wireless charging pad. On the left side is a plasticky rectangle with a Qi2 magnetic puck for your smartphone. Above it is a little area to charge wireless earbuds (5 watts). Naturally, there’s RGB all over, and there are two buttons you can press to cycle through patterns and colors. It’s a smart-looking system, though the quality of the actual mat leaves a bit to be desired. I didn’t have issues gliding my mouse on it, and it stays put thanks to the rubber underside, but I just didn’t like the look and feel of the Lycra surface. Journey has some other versions of this mat that use different materials, so take a look if you like the overall aesthetic.

Courant Catch:2 Essentials for $75: Wireless chargers should look nice. You shouldn’t settle for anything less! This Courant dual charger oozes luxury with its Belgian linen-wrapped surface (especially in the camel color). I’ve used it by my front door to recharge my partner’s and my wireless earbuds for two years. The rubber feet prevent it from shifting around, but even if there are five coils in this pad, you should try to be precise when you put your device down to charge and make sure the LED lights up to double-check. It comes with a color-matching USB-C cable.

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Zens Liberty Wireless Charger Glass Edition a mobile phone resting on a small charging pad on the edge of a table

Photograph: Simon Hill

Zens Liberty Wireless Charger for $150: I tested the Glass Edition of this wireless charging pad, and it looks stunning with the 16 overlapping copper coils on display (the standard version has a woolen fabric top). It can charge two devices simultaneously at up to 15 watts apiece, and there’s an optional Apple Watch add-on ($19). As stylish as it is, the price is too high. Because you can see the coils, placement is never an issue, but it’s a bulky charger; the fan is audible at times, and while I had no problem charging my iPhone or AirPods, my Pixel 6 Pro got very warm on this pad.

Xiaomi Mi 80-W Wireless Charging Stand for $50: By far the fastest wireless charger we have tested, this stand is only worth considering for Xiaomi phones (it seems to charge most other phones at 10 watts or below). I tested with the Xiaomi 13 Ultra, which tops out at 50 watts (some Xiaomi models can go higher). The unusual sail shape combines a white triangular section with a clear acrylic base that has a subtle groove to hold your phone in place and a gap underneath for the exhaust grill from the noisy fan. The USB-C port and LED indicator are on the back.


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The fight between Trump and Anthropic is also about nuclear weapons

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President Donald Trump ordered the entire federal government to stop using products from the AI company Anthropic on Friday to stop what he called a “radical left, woke company” from encroaching on the military’s decision-making.

The public feud between the Pentagon and Anthropic which resulted in the firm’s blacklisting has become effectively a proxy for the larger battle over the future governance of AI.

The coverage has focused on Anthropic’s refusal to budge off its two “red lines” — using its product in mass domestic surveillance or to power fully autonomous weapons — and whether Defense Secretary Pete Hegseth’s Pentagon can be trusted to use powerful software with a looser requirement to only use it in a “lawful” manner, as the administration demands.

But, according to reports this week, the confrontation that sparked the feud actually focused on a different but related issue: how AI might be used in the event of a nuclear attack on the United States.

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Semafor and the Washington Post have reported that in early December, Under Secretary of Defense for Research and Engineering Emil Michael asked Anthropic’s Dario Amodei whether, in a scenario where nuclear missiles were flying toward the US, the company would “refuse to help its country due to Anthropic’s prohibition on using its tech in conjunction with autonomous weapons.” Administration sources say Michael was infuriated when Amodei said the Pentagon should reach out and check with Anthropic. Anthropic denies the story and says it was willing to create a carve-out for missile defense, but either way, the conversation poisoned relations between the two institutions. (Disclosure: Vox’s Future Perfect is funded in part by the BEMC Foundation, whose major funder was also an early investor in Anthropic; they don’t have any editorial input into our content.)

As I reported for Vox in November, there’s an active and ongoing debate over whether and how artificial intelligence should be integrated into nuclear command and control systems. We don’t know to what extent it already is, but we do know that the US military is actively looking at ways AI and machine learning can be used “to enable and accelerate human decision-making.”

Discussions around nuclear weapons and AI tend to focus on whether machines would ever be given control of the ability to launch nuclear weapons, and the imperative to keep a “human in the loop” for discussions of the use of humanity’s deadly weapons. But many experts and officials say that debate is the low-hanging fruit: Neither the US, nor any other country, is likely to ever hand over decisions on whether to order a nuclear strike to AI.

A much trickier question is the degree to which AI should be relied on for functions like “strategic warning” — synthesizing the massive amount of data collected by satellites, radar, and other sensor systems to detect potential threats as soon as possible.

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This is the sort of hypothetical use case that it sounds like Michael was proposing to Amodei. If the system is only being used to give us a better chance of shooting down an incoming missile, it might seem like a no-brainer.

But in a scenario where the US was under attack by ballistic missiles, the president would immediately be faced with a decision — which would have to be made in only minutes — about whether to retaliate, potentially setting off a full-blown nuclear war.

The lives of millions of people might rely on the system getting it right — and there are plenty of examples from the history of nuclear weapons of detection systems leading to near-misses that were only averted by human intuition.

The technology to do that kind of threat detection likely doesn’t exist yet, which, given the stakes, may have been one reason Amodei was reluctant to commit to this scenario.

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Retired Lt. Gen. Jack Shanahan, who flew nuclear missions in the Air Force and was later the head of the Pentagon’s Joint Artificial Intelligence Center, told Vox that if nuclear threat detection and response were turned over to artificial intelligence agents, “I don’t want to say it’s certain that there’s going to be a catastrophe, but I think you’re heading down that path.”

He pointed to a widely-reported study released this week from a researcher at King’s College London which found that AI models including Claude, ChatGPT, and Google Gemini were far more likely than human participants to recommend nuclear options in simulated war games. In this scenario, an AI might not be launching a weapon, but a president would have to overrule a panicked-sounding multibillion-dollar system’s prescription under extreme pressure.

One factor that makes military use of AI different from previous technologies with obvious national security uses is that in this case, much of the cutting edge research was done by private firms that initially had an eye on the commercial market, rather than companies responding to demand from the military. (An example of the latter case would be the internet, which evolved from Defense Department and academic projects long before companies found commercial uses for it.)

The new dynamic is bound to lead to culture clashes, particularly between a company like Anthropic that, though it has been happy until now to let its product be used by the Pentagon, has built its public image around its concerns about AI safety, and Pete Hegseth’s “anti-woke” Pentagon.

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“Boeing would never object to building anything the government would ask them to build,” said Shanahan, who led the Pentagon’s controversial 2018 partnership with Google, Project Maven, a previous DC-Silicon Valley culture clash. “It’s a defense-industrial base company. [AI is] being born in a very different world with a group of people who don’t see things the way employees of Lockheed may have seen the Cold War. It’s Mars-Venus to an extent.”

How the clash plays out, and whether other companies are willing to let their models be deployed with fewer questions asked, may go a long way toward determining what role AI might play in a hypothetical nuclear war.

This story was produced in partnership with Outrider Foundation and Journalism Funding Partners.

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These Deals Can Have You Zipping Around on a New E-Scooter This Spring

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The snow is melting, the days are getting longer, and I can almost smell the springtime ahead. Soon, we’ll be cruising around town on ebikes and electric scooters instead of burning fossil fuels. For now, the weather hasn’t quite caught up, which is great for markdowns. Many of the best electric scooters are still seeing significant discounts. If you’ve been thinking about buying one, now’s the best time: prices are low, and sunny commuting days are just ahead.

Gear editor Julian Chokkattu has spent five years testing more than 45 electric scooters. These are his top picks that are also on sale right now.

Apollo Go for $849 ($450 Off)

Side view of Apollo Go electric scooter with the handle bar folded down

Photograph: Julian Chokkattu

This is Gear editor Julian Chokkattu’s favorite scooter. The riding experience is powerful and smooth, thanks to its dual 350-watt motors and solid front and rear suspensions. The speed maxes out at 28 miles per hour (mph), which doesn’t make it the fastest scooter on the market, but it has a good range. (Chokkattu is a very tall man and was able to travel 15 miles on a single charge at 15 mph.) Other Apollo features he appreciates: turn signals, a dot display, a bell, along with a headlight and an LED strip for extra visibility.

Apollo Phantom 2.0 for $2099 ($900 Off)

  • Photograph: Julian Chokkattu

  • Photograph: Julian Chokkattu

  • Photograph: Julian Chokkattu

The Apollo Phantom 2.0 maxes out at 44 mph, with plenty of power from its dual 1,750-watt motors. It’s a gorgeous scooter, designed with 11-inch self-healing tubeless tires and a dual-spring suspension system for a smooth riding experience. But with great power comes great weight. At 102 pounds, the Phantom 2.0 is the heaviest electric scooter Chokkattu has tested, so I would only recommend this purchase if you don’t live in a walkup and/or have a garage.

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More Discounted Electric Scooters

Segway

Max G3

This is the best commuter scooter, with more power and range than the Apollo Go and a fast 3.5-hour recharge time.

Segway

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Ninebot F3 Electric Scooter

The Segway F3 is designed with turn signals, a bell, a bright display, and a feature-rich app experience.

Niu KQi 300X

This is the best all-terrain scooter, with reliable suspension, dual disc brakes, and thick 10.5-inch tubeless tires.

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Segway

E2 Pro

This is the best budget scooter, designed with a decent 350-watt motor, a max speed of 15 mph, a front drum brake, and a rear electronic brake.

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Logitech G309 Lightspeed Wireless Gaming Mouse Offers Smooth Performance at Home and Away

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Logitech G309 Lightspeed Wireless Gaming Mouse
Traveling typically necessitates traveling light, so a mouse that adds bulk or requires constant charging can be a real hassle. Logitech’s G309 Lightspeed, priced at $49.99 (was $90), avoids these concerns by clever engineering, allowing it to function for hours on a single AA battery while being heavy enough to feel substantial in your hands.



You can even remove the battery entirely and use Logitech’s PowerPlay charging mat, which costs a little more but reduces the weight to 68g. That’s the type of lightness that a few dedicated gamers seek, without losing usability.


Battery concerns vanish in both setups, as one AA provides a whopping 300 hours of continuous wireless use in the rapid Lightspeed mode, or over 600 hours in the slower but still adequate Bluetooth mode. Most people won’t have to alter it in months, whether they play games every day or merely browse. If you’re travelling, you may either bring an extra AA battery or utilize Bluetooth and store the wireless receiver neatly inside the mouse to avoid losing it in transit.

Logitech G309 Lightspeed Wireless Gaming Mouse
The performance is also strong, as the HERO 25K sensor tracks your movements well even at high speeds of up to 25,600 DPI, and it does so without any fancy (and obnoxious) smoothing or acceleration. Clicks are nice and sharp with the optical Lightforce switches, a bit of a blend of the best of both worlds, so whether you’re gaming or performing precise work, you’ll get a rapid and solid reaction. There are also six customizable buttons for creating shortcuts or simplifying tasks, and the symmetrical design fits well in a variety of hands.

Logitech G309 Lightspeed Wireless Gaming Mouse
It’s also built tough, with the mouse being approximately 4.7 x 2.5 inches, and the design is simply utilitarian enough to get the job done. At around $49.99, it’s a really robust wireless gaming mouse without the expensive price tag.

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AirPods Pro 3 vs Sony XM6 earbuds: Personal audio compared

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Sony’s latest audio release, the WF-1000XM6, are flagship earbuds with improved active noise cancellation. Here’s how Sony’s flagship personal audio accessories compare against the AirPods Pro 3.

Two pairs of wireless earbuds rest on a gray fabric surface: compact black in-ear buds on the left and stem-style white earbuds on the right, against a soft purple background
AirPods Pro 3 vs Sony XM6 earbuds

February saw Sony bring out an update to its upper-tier earbuds. After a three-year wait, the WF-1000XM6 are the electronic company’s new best option for in-ear audio.
The WF-1000XM6, not to be confused with the similarly-named WH-1000XM6 headphones, lean on the firm’s heritage of audio quality, with improvements to noise cancellation also thrown in for good measure.
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Trump Orders Federal Agencies To Stop Using Anthropic AI Tech ‘Immediately’

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President Donald Trump has ordered all U.S. federal agencies to “immediately cease” using Anthropic’s AI technology, escalating a standoff after the company sought limits on Pentagon use of its models. CNBC reports: The company, which in July signed a $200 million contract with Pentagon, wants assurances that the Defense Department will not use its AI models will not be used for fully autonomous weapons or mass domestic surveillance of Americans. The Pentagon had set a deadline of 5:01 p.m. ET Friday for Anthropic to agree to its demands to allow the Pentagon to use the technology for all lawful purposes. If Anthropic did not meet that deadline, Pete Hegseth threatened to label the company a “supply chain risk” or force it to comply by invoking the Defense Production Act.

“The Leftwing nut jobs at Anthropic have made a DISASTROUS MISTAKE trying to STRONG-ARM the Department of War, and force them to obey their Terms of Service instead of our Constitution,” Trump said in a post on Truth Social. “Their selfishness is putting AMERICAN LIVES at risk, our Troops in danger, and our National Security in JEOPARDY.”

“Therefore, I am directing EVERY Federal Agency in the United States Government to IMMEDIATELY CEASE all use of Anthropic’s technology,” Trump wrote. “We don’t need it, we don’t want it, and will not do business with them again! There will be a Six Month phase out period for Agencies like the Department of War who are using Anthropic’s products, at various levels,” Trump said. On Friday, OpenAI said it would also draw the same red lines as Anthropic: no AI for mass surveillance or autonomous lethal weapons.

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Video Game Archive Myrient To Shut Down On March 31

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Recently the Myrient game video archive announced that they’re shutting down on March 31st of this year, for a couple of reasons, but primarily the skyrocketing financial costs of hosting the archive. One advantage of Myrient over e.g. Archive.org is that – per the FAQ – every game on the site is curated and checked against a checksum of a known good copy. The site also focuses on fast downloads, making it a good resource if you’re trying to find ROMs of some more obscure old gaming system.

Amidst the mourning it seems also pertinent to address the reasons behind this shutdown. Although finances are the main reason for this hobby project to be shut down, it’s due to (paywalled) download managers that  have recently appeared, and which completely bypass the donation requests and similar on the website. Despite use of Myrient for commercial, for-profit purposes having always been explicitly forbidden, this has been ignored to the point where the owner of Myrient had to shell out over $6,000 per month to cover the difference after donations.

Along with the rising costs of hosting due to rising storage and RAM prices courtesy of AI datacenter buildouts, this has meant that a hobby archive like this has become completely unsustainable. Barring good ways to block illegal traffic like these download tools and/or a surge in donations, it would seem that all archives like this are at risk of shutting down, along with other sites that contain commercially interesting content.

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What Apple's launching in March, and more on the AppleInsider Podcast

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Tim Cook made us want to skip the weekend and get straight to the new launches Apple has for us starting on Monday. That might include a low-cost MacBook, but then further ahead there’s a hint of a touch-screen MacBook Pro later this year, all on the AppleInsider Podcast.

Open laptop displaying a welcome screen with a scenic beach wallpaper of turquoise water, large rocks, distant snowcapped mountains, and a clear blue sky in a softly lit room.
If a MacBook is announced in March, it won’t be a MacBook Pro — but a touch-screen one is expected later in 2026

What we actually know about next week is that there will be launches. Tim Cook doesn’t hint if there’s nothing much to say, but he also tagged his post #AppleLaunch.
So we know something is coming, and if you listen to the leaks, actually everything is coming. If you’ve ever heard it rumored, it’s all due out next week for sure.
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Studio Display Pro rumors resurface after code references suggest a premium model

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Code fragments found in the latest iOS 24.6 beta are being taken by some to mean that there will soon be two new models of the Studio Display, with one adding more ports and better speakers.

Large desktop monitor with colorful abstract wallpaper on a white desk, accompanied by a slim keyboard, trackpad, modern headphones on a stand, and soft blue lighting against a brick wall
Apple’s current Studio Display, which has not been updated since its launch in 2022

Back in 2022 when the Apple Studio Display was first launched, it was seen as very good but very expensive. The monitor has not been updated since, but from practically the moment it was launched, there have been rumors of better versions to come.
Now according to Macworld, references in the code of the iOS 26 developer betas appear to be proof an update is finally coming. The references are to models with code names J427 and J527, which is a strong sign that there will be two versions of the display.
Rumor Score: 🤔 Possible
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