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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.
READ MORE ON WAYMO: Waymo study analyzes collisions with vulnerable road users
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
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
SpaceXAI just launched into your kitchen with their new app
Tesla piggybacks recent Supercharger feature with update that takes it further
