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Waymo considers selling robotaxis to individual owners
Tesla currently offers its Supervised Full Self-Driving to owners of its vehicles, while Waymo is the only company operating paid autonomous ride-hails at this point.
Alphabet-owned robotaxi company Waymo is mulling over the possibility of selling self-driving vehicles to individual owners in the future, as highlighted last week by the Google parent company’s head executive.
On Thursday, Alphabet CEO Sundar Pichai said during the company’s first-quarter earnings update that Waymo would maintain selling self-driving vehicles to individuals as an option in the future, according to a report from Reuters. Pichai didn’t disclose any specifics about the potential to do so or a timeline, though he noted that “there is future optionality for personal ownership.”
Waymo currently operates over 700 self-driving vehicles, 300 of which are operating in San Francisco, and it’s the only company to operate a paid self-driving ride-hailing service as of yet.
The statement comes as Tesla and other companies aim to launch their own commercial robotaxi services, and while the electric vehicle (EV) giant already sells its Supervised Full Self-Driving (FSD) software to individual owners. Additionally, Tesla aims to launch an Unsupervised version in the coming months.
Waymo launched in Austin in January in a unique partnership with Uber, while its self-driving ride-hailing vehicles in California run through its in-house ride-hailing app, Waymo One. It has opened the app to the public in multiple areas of Los Angeles and in cities surrounding and including San Francisco. The company also dropped the need to sign up for a waitlist to use the service in Los Angeles in November, after doing so in the Bay Area earlier that year.
The Alphabet-owned firm also started initial testing in Japan earlier this month, marking the company’s first time in an international market.
Waymo is setting the stage for its rollout in Tokyo. 🇯🇵
Have you experienced a ride in Waymo's self-driving robotaxis?pic.twitter.com/V7lQf1CMjD
— TESLARATI (@Teslarati) April 10, 2025
READ MORE ON WAYMO’S ROBOTAXIS: Here’s where Waymo is launching autonomous robotaxis next
Tesla is targeting a launch its first commercial robotaxis and Unsupervised FSD around Austin in June, and CEO Elon Musk reiterated this goal during the company’s Q1 earnings call on Tuesday. When asked about how Tesla expected its commercial robotaxi services would compete with Waymo, which is already operating paid driverless rides in multiple cities, Musk highlighted how costly the company’s cars are to produce:
The issue with Waymo’s cars is it costs way more money, but that is the issue. The car is very expensive, made in low volume. Teslas probably cost 25 percent or 20 percent of what a Waymo costs, and are made in very high volume.
So, ironically, we’re the ones to make the bet that a pure AI solution with cameras, and what do you have? The car actually will listen for sirens and that kind of thing. It’s the right move.
And Waymo decided that an expensive sensor suite is the way to go, even though Google is very good at AI.
Musk also went on to predict that Tesla would eventually capture at least 90 percent of the robotaxi market, or potentially as much as 99 percent, with millions of cars on the road that are already able to run FSD.
He also highlights that Tesla’s vehicles at both the Gigafactory in Austin, Texas and the Fremont, California plant can drive themselves fully autonomously from the end of the production line to the outbound lot. Musk also said that he was “confident” that the first Model Y units to drive themselves to the customer will take place later this year, from both the Fremont and Austin factories.
Ex-Waymo CEO dismisses Tesla, Cybercab: “They’re a car company with a driver-assist system”
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
News
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
