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.”
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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
Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab
Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.
During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.
Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”
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The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.
A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.
Tesla Semi AI4 cameras. The production version has 10 cameras on its exterior.
These trucks are designed to be autonomous. pic.twitter.com/GH3BamxIBQ
— Nic Cruz Patane (@niccruzpatane) April 14, 2026
Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.
The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.
It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.
Investor's Corner
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.
This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.
Tesla Q2 2026 Earnings Results
- Non-GAAP EPS – $0.33 reported vs. $0.53 expected
- Revenues – $28.236 billion reported vs. $26.4 billion expected
- Free Cash Flow- -$1.092B
- Profit -$ 4.751B
Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.
Tesla shares closed today down just over 1 percent, trading at $374.01.
In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.
Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q2 2026 Earnings Call https://t.co/zZS6ii2TWK
— Tesla (@Tesla) July 22, 2026
Elon Musk
Tesla is about to make parking in busy lots less stressful than ever
Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.
Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:
It’s coming soon
— Elon Musk (@elonmusk) July 21, 2026
Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.
Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.
Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.
The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:
Tesla reveals 2026 Summer Update with crazy fixes to Nav and more
Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.
Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.
