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Waymo kicks off initial tests in Japan with launch event
Waymo launches early tests in Japan, as Tesla and others look to roll out their own commercial robotaxi services.
Commercial robotaxi company Waymo held a launch event in Japan last week, as the company prepares to enter early manual testing on its first international roads.
After Waymo shared plans to start testing vehicles in Japan in December, the Google-owned firm detailed the launch event in a press release on Monday. The event featured officials from project partners GO, a taxi platform, and Nihon Kotsu, the largest taxi company in Tokyo, along with featuring one of the company’s camera-, lidar-, and radar-outfitted Jaguar I-Pace units, expected to begin manual testing around Tokyo in the weeks to come.
Ichiro Kawanabe, Board Director at Nihon Kotsu and Chairman at both GO and the Japan Taxi Association, said that Waymo’s U.S. operations “demonstrated significant safety benefits,” along with thanking the company for hosting the event at the newly developed Takanawa Gateway City complex.
“I took my first ride with Waymo in Phoenix a year and a half ago and was amazed that there was really no one in the driver’s seat,” the chairman said. “That was the moment I was convinced that autonomous driving technology could absolutely benefit Japan. It will help ensure mobility service in the future of Japan, with the growing aging population and labor shortage.”

Credit: Waymo

Credit: Waymo
This spring, Nihon Kotsu taxi operators will start driving Waymo vehicles across several Tokyo wards this spring, including Chiyoda, Chūō, Kōtō, Minato, Shibuya, Shinagawa, and Shinjuku. The tests will utilize 3D maps of the city, along with utilizing experienced drivers to generate data about traffic laws, patterns, and other road systems ahead of fully autonomous operation.
“After months of strong collaboration with Nihon Kotsu and GO, Waymo has reached a historic milestone— our first venture on international public roads,” said Nicole Gavel, Waymo Senior Director and Head of Business Development and Strategic Partnerships.
“Our partnership demonstrates how Waymo’s 15 years of operational expertise can adapt to new environments through strategic initiatives with industry leaders,” Gavel adds. “In Tokyo, we are abiding by the same steadfast principles that guide us in the U.S. — commitment to safety, dedication to earning trust in communities where we operate, and collaboration with local officials and community groups here in Tokyo.”
The news comes as Tesla, Amazon-owned firm Zoox, and still others are racing to enter the commercial robotaxi business throughout this year. It also comes amidst widespread speculation and debate about the emerging market, and as Tesla and Waymo both aim to begin operations internationally.
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Tesla’s FSD in China, Mexico, commercial robotaxis still incoming
Waymo is already operating paid autonomous ride-hailing services around the U.S., and it said in December that it was giving more than 200,000 autonomous rides per week.
The company currently offers Waymo services in San Francisco and Los Angeles, California, Phoenix, Arizona, and, through a partnership with Uber, in Austin, Texas, where Tesla has a Gigafactory and plans to launch initial robotaxi services. The Alphabet-owned company is also aiming to launch services in Atlanta, Georgia and Miami, Florida this year, alongside its early tests in Tokyo.
Although Tesla doesn’t currently operate driverless ride-hailing in any capacity, individual owners in North America can purchase or subscribe to its Supervised Full Self-Driving (FSD) system, on which the company’s forthcoming robotaxi platform will be based. In October, the company unveiled the two-seat Cybercab vehicle, which has no steering wheel or pedals and will be used for the upcoming commercial robotaxi system.
Additionally, the company is aiming to launch its first unsupervised rides commercially in Austin in June, and it recently debuted Supervised FSD in China and Mexico, marking the company’s first international markets.
🎥: Our FULL first ride in the @Tesla Cybercab pic.twitter.com/6gR7OgKRCz
— TESLARATI (@Teslarati) October 11, 2024
Waymo vs. Tesla vs. the competition
While Tesla hasn’t quite gotten a commercial robotaxi service to market yet, Waymo, Amazon-owned company Zoox, and still many others have begun their own paid ride-hailing services or early tests. Meanwhile, Tesla’s approach to the technology is vastly different than that of Waymo and others, utilizing a camera-only, AI-trained neural network system, rather than 3D geomapping.
For one, the company can generate a larger pool of training data from real-time driving behavior of its individual owners, for instance as compared to Waymo’s use of a more-limited fleet of taxi drivers. Many argue that this, along with the cost-effectiveness of producing a system that’s built into every vehicle and utilizes only cameras, make the system more scalable than those of Waymo and others.
Still, some support the use of more than just camera systems and building in sensor redundancy as a way to maximize safety, especially as the technologies are still fairly new. Former Waymo CEO John Krafcik, who was a part of the company until 2021, criticized the FSD system in December for not including enough safety measures to support a realistic commercial robotaxi business, and he went on to call Tesla “a car company with a driver-assist system.”
“If a company were serious about building a safe and accessible robotaxi business, it would look nothing like what was shown,” Krafcik said during an interview. “The cost of a robust sensor set, including lidar, is trivial on a per-mile basis. Even more so for mapping. And the safety benefits measured in human harm reduction are real and verifiable.”
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Elon Musk
Tesla just trademarked MEGAPOD: here’s what it is
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
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A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
Investor's Corner
SpaceX is launching a secret spacecraft that could change how things are made in space
SpaceX’s secret disk-shaped Starfall capsule is targeting a market no reentry vehicle has cracked.
SpaceX is targeting Tuesday, June 23 for the first flight of Starfall, a reentry capsule the company has developed almost entirely in private. The Falcon 9 launch window opens at 6:43 a.m. ET from Space Launch Complex 40 at Cape Canaveral Space Force Station, with a backup window available the same time on June 24. SpaceX has made no public announcement about the vehicle, only providing launch details. Everything known about it has come through FAA and FCC regulatory filings.
What makes Starfall different starts with its shape. Rather than the traditional cone used by Dragon and every other cargo return capsule in operation, Starfall is a flat disk that measures roughly 10.2 feet (3.1 meters) wide and just 2.5 feet (0.75 meters) tall, and weighing 4,630 pounds (2,100 kg) and capable of returning up to 2,200 pounds (1,000 kilograms) of payload from orbit. The disk geometry maximizes structural efficiency and payload volume relative to mass, and the heat shield mechanically jettisons just before splashdown, allowing recovery teams to retrieve both the capsule and the shield separately from the Pacific Ocean.
The difference with Starfall from existing competitors, such as Varda Space Industries, which has largely built the orbital manufacturing market and returns heavy payloads per flight is that Starfall’s specification is roughly 30 times more per mission, and is designed to be mass-produced and launched on either Falcon 9 or Starship. That combination of volume and launch access is something no standalone startup can replicate, and it puts SpaceX in direct competition with the companies that currently pay it to reach orbit.
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The intended market is orbital manufacturing: pharmaceuticals, protein crystals, semiconductors, and advanced optical fiber that physically cannot be produced in the presence of gravity. FAA documents describe Starfall’s long-term purpose as building a “self-sustaining commercial in-space manufacturing market” and as a potential successor to the industrial capabilities of the International Space Station, which is set to retire in the late 2020s. Military rapid global cargo delivery is a parallel application under active discussion with the Pentagon.
The reason some industries seek manufacturing in space comes down to gravity. On Earth, gravity causes materials to settle, separate, and deform during production. In microgravity, those constraints disappear.
SpaceX’s already controls launch access, which means it currently functions as the landlord for every competitor in the orbital manufacturing return space. Starfall converts that landlord position into vertical ownership, and it would no longer just carry other companies’ capsules to orbit, but rather operate the capsule, own the return logistics, and capture the service revenue directly. Viewed alongside Starlink, Colossus, and the xAI merger, Starfall fits a consistent pattern: SpaceX identifying infrastructure layers that others depend on and moving to own them outright. Orbital manufacturing return is the next layer on that list.
If Tuesday’s reentry, parachute sequence, and recovery demonstration goes as planned, the second FAA-approved test flight follows. A successful pair of demos would position SpaceX to begin offering Starfall as a commercial service, likely first to pharmaceutical and materials science customers before scaling toward the military and broader manufacturing segments.
News
Tesla Semi spotted with ground truth validation equipment as launch looms
The Tesla Semi was spotted mounted with ground truth validation equipment as the company nears its looming launch. The Semi is Tesla’s Class 8 all-electric truck, and has been utilized in its earlier stages by many companies like PepsiCo. and Frito-Lay, who have been using it in a pilot program.
The Semi was spotted in Sunnyvale, California, and sports a typical ground truth validation unit that Tesla routinely uses on its vehicles. Ground truth validation is essentially the process of training supervised algorithms to ensure they can perform reliably. Tesla typically performs this on vehicles that are being released soon:
Spotted the new semi adorned with ground truthing equipment. Haven’t seen anyone post this so figured I’d share.
The future is autonomous!!@SawyerMerritt @wholemars pic.twitter.com/qkPDHPUQZ6
— Danny (@dannywinner1) June 21, 2026
The Semi being spotted with this type of validation rig is important because it means the company is working on solidifying a Full Self-Driving model for its commercial vehicle offering. This would be a massive development for not only Tesla but also the logistics industry as a whole.
There are strict regulations on driving hours for commercial truck drivers, and autonomy is a way to potentially combat these issues. FSD is already a widely effective way that owners of typical passenger vehicles take stress out of travel. Even launching a semi-autonomous platform for truck drivers to use to increase safety, reduce fatigue, and increase productivity would be a huge development.
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The Semi has already proven to be an ideal solution for companies that use commercial logistics. It has increased efficiency and reduced operating costs for many companies that have been able to use it in pilot programs.
There are expected to be some bumps along the way. Tesla saw some challenges with FSD on the Cybertruck, as it had never had a vehicle with cameras at that height, so some of the features with FSD were not immediately available. Just a week ago, Tesla launched Actually Smart Summon (ASS) for Cybertruck, nearly three years after the vehicle was first delivered to customers.