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.
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Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
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A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
Investor's Corner
SpaceX is launching a secret spacecraft that could change how things are made in space
SpaceX’s secret disk-shaped Starfall capsule is targeting a market no reentry vehicle has cracked.
SpaceX is targeting Tuesday, June 23 for the first flight of Starfall, a reentry capsule the company has developed almost entirely in private. The Falcon 9 launch window opens at 6:43 a.m. ET from Space Launch Complex 40 at Cape Canaveral Space Force Station, with a backup window available the same time on June 24. SpaceX has made no public announcement about the vehicle, only providing launch details. Everything known about it has come through FAA and FCC regulatory filings.
What makes Starfall different starts with its shape. Rather than the traditional cone used by Dragon and every other cargo return capsule in operation, Starfall is a flat disk that measures roughly 10.2 feet (3.1 meters) wide and just 2.5 feet (0.75 meters) tall, and weighing 4,630 pounds (2,100 kg) and capable of returning up to 2,200 pounds (1,000 kilograms) of payload from orbit. The disk geometry maximizes structural efficiency and payload volume relative to mass, and the heat shield mechanically jettisons just before splashdown, allowing recovery teams to retrieve both the capsule and the shield separately from the Pacific Ocean.
The difference with Starfall from existing competitors, such as Varda Space Industries, which has largely built the orbital manufacturing market and returns heavy payloads per flight is that Starfall’s specification is roughly 30 times more per mission, and is designed to be mass-produced and launched on either Falcon 9 or Starship. That combination of volume and launch access is something no standalone startup can replicate, and it puts SpaceX in direct competition with the companies that currently pay it to reach orbit.
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The intended market is orbital manufacturing: pharmaceuticals, protein crystals, semiconductors, and advanced optical fiber that physically cannot be produced in the presence of gravity. FAA documents describe Starfall’s long-term purpose as building a “self-sustaining commercial in-space manufacturing market” and as a potential successor to the industrial capabilities of the International Space Station, which is set to retire in the late 2020s. Military rapid global cargo delivery is a parallel application under active discussion with the Pentagon.
The reason some industries seek manufacturing in space comes down to gravity. On Earth, gravity causes materials to settle, separate, and deform during production. In microgravity, those constraints disappear.
SpaceX’s already controls launch access, which means it currently functions as the landlord for every competitor in the orbital manufacturing return space. Starfall converts that landlord position into vertical ownership, and it would no longer just carry other companies’ capsules to orbit, but rather operate the capsule, own the return logistics, and capture the service revenue directly. Viewed alongside Starlink, Colossus, and the xAI merger, Starfall fits a consistent pattern: SpaceX identifying infrastructure layers that others depend on and moving to own them outright. Orbital manufacturing return is the next layer on that list.
If Tuesday’s reentry, parachute sequence, and recovery demonstration goes as planned, the second FAA-approved test flight follows. A successful pair of demos would position SpaceX to begin offering Starfall as a commercial service, likely first to pharmaceutical and materials science customers before scaling toward the military and broader manufacturing segments.
The Tesla Semi was spotted mounted with ground truth validation equipment as the company nears its looming launch. The Semi is Tesla’s Class 8 all-electric truck, and has been utilized in its earlier stages by many companies like PepsiCo. and Frito-Lay, who have been using it in a pilot program.
The Semi was spotted in Sunnyvale, California, and sports a typical ground truth validation unit that Tesla routinely uses on its vehicles. Ground truth validation is essentially the process of training supervised algorithms to ensure they can perform reliably. Tesla typically performs this on vehicles that are being released soon:
Spotted the new semi adorned with ground truthing equipment. Haven’t seen anyone post this so figured I’d share.
The future is autonomous!!@SawyerMerritt @wholemars pic.twitter.com/qkPDHPUQZ6
— Danny (@dannywinner1) June 21, 2026
The Semi being spotted with this type of validation rig is important because it means the company is working on solidifying a Full Self-Driving model for its commercial vehicle offering. This would be a massive development for not only Tesla but also the logistics industry as a whole.
There are strict regulations on driving hours for commercial truck drivers, and autonomy is a way to potentially combat these issues. FSD is already a widely effective way that owners of typical passenger vehicles take stress out of travel. Even launching a semi-autonomous platform for truck drivers to use to increase safety, reduce fatigue, and increase productivity would be a huge development.
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The Semi has already proven to be an ideal solution for companies that use commercial logistics. It has increased efficiency and reduced operating costs for many companies that have been able to use it in pilot programs.
There are expected to be some bumps along the way. Tesla saw some challenges with FSD on the Cybertruck, as it had never had a vehicle with cameras at that height, so some of the features with FSD were not immediately available. Just a week ago, Tesla launched Actually Smart Summon (ASS) for Cybertruck, nearly three years after the vehicle was first delivered to customers.
Tesla just trademarked MEGAPOD: here’s what it is
SpaceX is launching a secret spacecraft that could change how things are made in space
