A California judge has forced General Motors’ (GM) self-driving unit Cruise to increase its settlement offer to the maximum amount, after one of the company’s robotaxis pinned and seriously injured a pedestrian in October.
On October 2, a driverless Cruise vehicle dragged and pinned a pedestrian in San Francisco, and the company’s license to operate self-driving cars was immediately revoked by the California Department of Motor Vehicles (DMV). The DMV later said that Cruise “misrepresented” and “omitted” crucial details about its response to the accident, and the California Public Utilities Commission (CPUC) in December ordered the company to appear before a judge this month.
During the hearing, which was held on Tuesday, California Administrative Law Judge (ALJ) Robert Mason III suggested that Cruise revise its $75,000 settlement offer to the maximum penalty of $112,500, after calling the company’s proposed amount “low,” and even suggesting the company was seeking a “discount.”
While Judge Mason III said he appreciated Cruise attempting to take “corrective action” in its crash response procedures, he added that the company should “take a hint” following his multiple questions about the offer amount, suggesting directly that Cruise change its settlement offer to the full penalty.
“Point taken, your Honor,” responded Craig Glidden, Cruise President and Chief Administrative Officer. “We immediately revise our offer to the amount requested.”
Waymo could face new legal barriers in its expansion to Los Angeles
The hearing discussed findings from an investigation conducted by the law firm Quinn Emanuel, which Cruise hired, including that internet connectivity hampered the company’s sharing of video footage from the accident with regulators in meetings that followed.
In response to the motion for approval to settle at $75,000, the commission can adopt, adopt with revisions, or reject Cruise’s filing. Following the hearing, the next step is for Judge Mason to write a proposed decision on the case for the commissioner’s consideration, with the general timeframe falling within about 60 days, as a CPUC spokesperson clarified to Teslarati.
Cruise said it was eager to resolve the case and move past the incident, adding that it wanted to continue to “advance the mission of bringing driverless cars that are safer to the public and also greater accessibility to the public to the market.”
However, Mason didn’t make it sound like the commission was eager to set the case aside:
“While the commission does fall on the side of getting its cases resolved, I don’t know that this is one of those protracted pieces of litigation that we’re usually most anxious to put aside and then move forward with the regulatory process,” Mason added.
In the original motion, filed on January 30, Cruise outlines the key requirements it would have to follow as part of the settlement:
1. Cruise will adopt voluntarily several new data reporting enhancements that will provide additional data to the Commission concerning California collisions and AVs operating in California under a deployment permit that enter a minimal risk condition (“MRC”) state and result in conditions described in Attachment A;
2. Cruise will provide the Commission with Cruise’s responses to the permit reinstatement questions from the California Department of Motor Vehicles (“DMV”) at the same time Cruise provides those responses to the DMV;
3. Cruise will make a payment of $75,000 to the State General Fund within ten (10) days of the Commission’s approval of the Settlement Agreement without modification; and
4. Upon the Commission’s approval of the Settlement Agreement, the OSC proceeding will be closed.
“We are committed to working in partnership with the CPUC, other regulators and government agencies to improve transportation safety in support of a shared goal –– providing better, safer and more accessible transportation to the public in our communities,” a Cruise spokesperson wrote in an email to Teslarati. “Over the past several months, we have taken important steps to improve our leadership, processes and culture, and we are committed to resolving matters to the Commission’s satisfaction as we work to restore regulatory and public trust.”
Cruise also noted that the accident, which occurred after the pedestrian had already been hit by a human driver, was partially caused by the driverless ride-hailing vehicle falsely identifying the situation as a side-impact collision rather than a frontal collision, causing the Minimal Risk Condition (MRC) response that forces the vehicle to pull over.
In addition, Cruise said it is currently expecting a new Chief Safety Officer in the “not too distant future,” after two co-founders resigned immediately following the accident, and after the company fired nine executives and laid off nearly a quarter of its staff on the same day in December.
GM recently announced plans to cut spending on Cruise in half this year, though it said it also hoped to “refocus and relaunch” the company’s operations. GM CEO Mary Barra highlighted significant changes at Cruise, which the company began implementing following the Quinn Emanuel investigation.
“At Cruise, we are committed to earning back the trust of regulators and the public through our commitments and our actions,” Barra said following GM’s 2023 earnings call.
You can see the full January 30 filing from Cruise below, including the findings from the Quinn Emanuel investigation, which Cruise made public last month.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, 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 also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
