News
Wireless charging hotspots let drones fly forever through in-air recharges
A Portland, Oregon-based company named Global Energy Transmission (GET) is developing a network of wireless charging hotspots for drones. With only six minutes hovering over a grid for a full charge, an electric industrial class drone can repeat the cycle of charging and flying until its battery is drained without ever having to land or connect to a cable using this technology. GET’s long-term vision includes a cell-tower like infrastructure comprising numerous charging stations, enabling indefinite flying time for drones in the network. If successful, this technology could reinvent the commercial drone industry, providing 24/7 solutions in dedicated areas for things like deliveries, monitoring, and security.
Per GET’s website, the drone built for the charging network technology weighs about 18 lbs without the battery, can carry about 15 lbs, and can fly for 28 minutes weighing 30 lbs at takeoff. The maximum flying speed is around 37 mph, and servicing of the drone is recommended every 300-1000 flight hours. The maximum power transmitted during the charging stage is 12kW – it consumes 1550W while hovering.
Overall, the GET charging grid looks generally like a hexagonal frame raised onto poles with wires laced throughout. Spanning 26 feet across, the frame’s size is designed to enable multiple drones to charge simultaneously. A working prototype of the full system has already been showcased, and numerous videos are also available for anyone interested in more detail about the development team’s process. One such video lasts over two hours to demonstrate multiple battery-drains and in-air recharges on a continuous feed.

Drones are currently being used to provide numerous consumer solutions in a wide variety of markets. Along with video and photography, these small flying crafts are being utilized or developed for places like the construction industry for mapping and site monitoring, search and rescue missions, and even transporting organs between hospitals. Of course, the short life span of a drone battery – about 22 minutes in most cases – is well known to drone pilots, making the potential for a wireless charging network an innovative opportunity. According to William R. Kallman, GET’s US Director and partner from the Draper Network in a recent interview, their technology could also be scaled up to transfer 200 kW of power in the future, putting drone taxis within the realm of GET’s potential customer base.
GET announced its charging system at the AUVSI Xponential May 2018 show in Denver, Colorado and made an appearance at this year’s Consumer Electronics Show 2019 in Las Vegas. While the company is officially based in the US, there is also a branch office and engineering center in Moscow, Russia. Their executives, as well as most of its team, are originally from Moscow with backgrounds in physics and chemical engineering, among others.
The company is currently taking pre-orders for its GET Air™ solution which will include a wireless power charger, a 26-foot diameter charging area/grid, and two GET Air™ industrial class drones with pre-installed wireless charging systems. Expansions are also available, including an Autonomous Power Module for independent power supply to charging stations with limited or no access to electricity. Operational and maintenance support are included, all for a package price of $120,000.
Watch the below video to see the GET drone charging system in action with some further details by their CEO:
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
News
Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.

This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.