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Uber forced to stop self-driving pilot program in San Francisco by DMV
No longer will Uber’s self-driving cars be seen on San Francisco’s streets. The company announced on Wednesday that it was ending its autonomous car service, which began just a week ago, after clashes with state regulators and amidst much public concern.
The state’s Department of Motor Vehicles revoked Uber’s registrations, saying they “were improperly issued for these vehicles because they were not properly marked as test vehicles.” While competitors such as Tesla Motors, Google, and Nvidia have complied with state testing requirements, Uber claimed it didn’t need a permit, as it says its cars were not fully autonomous.
The sixteen Uber Volvo XC90s were equipped with a suite of roof-mounted sensors and dual driver controls. Two humans were onboard, one who was required to keep hands on the steering wheel at all times and another who monitored the technology.
Self-driving vehicles steer and brake independently but generally operate with a human in the driver’s seat who is prepared to assume driving responsibilities should the situation merit it. California law defines autonomous vehicles as those that drive “without the active physical control or monitoring of a natural person.” Under threat of legal action, Uber shut down the pilot program.
From the moment that Uber’s small self-driving fleet entered San Francisco’s traffic patterns, controversy arose. Videos emerged of Uber pilot cars running a red light and stopped in the middle of an intersection. Uber blamed red light incidents on human driver error, not the cars’ technology.
Brian Wiedenmeir, executive director of the San Francisco Bicycle Coalition, wrote on the organization’s website that, prior to Uber’s official launch, he encountered self-driving Ubers make multiple illegal and unsafe “right-hook” turns across bicycle lanes. “Those vehicles are not yet ready for our streets.” Uber, however, countered, explaining that a software fix for right hooks “has already been fixed operationally.” In other words, the two humans aboard were instructed to assume vehicle control when making these more complicated turns.
San Francisco Mayor Ed Lee commended the DMV for taking enforcement action against Uber. “I have always been a strong supporter of innovation and autonomous vehicle development and testing,” he wrote Wednesday in an emailed statement, “but only under conditions that put human, bicyclist, and pedestrian safety first.”
In a letter to Uber, DMV Director Jean Shiomoto assured the company that the department is a proponent of autonomous technologies. “We are committed to assisting Uber in their efforts to innovate and advance this ground-breaking technology.”
“Uber is welcome to test its autonomous technology in California like everybody else, through the issuance of a testing permit that can take less than 72 hours to issue after a completed application is submitted,” a DMV spokesman wrote in an emailed statement. “The department stands ready to assist Uber in obtaining a permit as expeditiously as possible.”
“We’re now looking at where we can redeploy these cars,” an Uber spokeswoman said in a provided statement, “but remain 100 percent committed to California and will be redoubling our efforts to develop workable statewide rules.”
Uber’s reveal of its San Francisco self-driving car rollout was quite the spectacle, intended to position the company as a keen rivals to its competitors. Anthony Levandowski, vice president for Uber’s self-driving technology, blogged that “the promise of self-driving is core to our mission of reliable transportation, everywhere for everyone.”
Now Pittsburgh is the only U.S. city which allows Uber’s self-driving carshare service. No major incidents have been reported from the Pittsburgh test program, which began in September.
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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.
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Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
