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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.”
Waymo valued at over $45 billion following latest financing round: report
Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.
The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.
Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.
Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.
The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”
This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws… pic.twitter.com/XGD97NHVZ2
— TESLARATI (@Teslarati) March 18, 2026
More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.
We look forward to more details being released with time.
The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.
The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.
These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.
It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.
The Cybertruck avoided every single pedestrian collision, including:
- Daytime child crossing
- Nightitime adult crossing
- Night parallel adult
In IIHS pedestrian front crash prevention tests, @Cybertruck avoided every single collision – daytime, nighttime & different angles
It was also the only pickup to earn Top Safety Pick+ (highest award) in 2026https://t.co/BNPqT9TbsW pic.twitter.com/M6nwDisBFK
— Tesla (@Tesla) June 24, 2026
In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.
Credit: IIHS
Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.
Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.
Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.
Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.
Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.
The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.
Elon Musk
SpaceX’s newest Starmind will make earth data centers obsolete
Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.
Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites
It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.
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Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.
Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.
SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.
The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.
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