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Tesla-Rivian lawsuit heats up as Judge denies misappropriation request

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Tesla’s lawsuit against Rivian that claims the latter company attempted to steal trade secrets is heating up after Judge William Monahan threw out Rivian’s misappropriation of trade secrets claim. The Santa Clara, California Superior Court Judge also declined to dismiss claims that Tesla believes seven of its former employees revealed trade secrets to Rivian after beginning employment with the Normal, Illinois-based company.

Judge Monahan agreed to dismiss Rivian’s intentional interference in contract claim because it falls under the “trade secrets” portion of the lawsuit. Bloomberg uncovered the new ruling.

In July, Tesla initiated a lawsuit against Rivian, indicating an “alarming pattern” of poaching employees and stealing trade secrets was taking place. In its original complaint, Tesla believed four individuals, and potentially two additional ones went to Rivian and took secrets with them.

Tesla said:

“Misappropriating Tesla’s competitively useful confidential information when leaving Tesla for a new employer is obviously wrong and risky.”

Elon Musk then commented on the lawsuit several days later, saying that Rivian was “absolutely” poaching Tesla’s former employees but admitted it wasn’t a “massive percentage.” However, Musk said the employees who left and started working for Rivian “definitely” took Tesla’s intellectual property. One employee, Tami Pascale, who worked for Tesla as a Senior Staffing Manager, admitted to taking “at least ten confidential and proprietary documents from Tesla’s network, which would allow Rivian to poach Tesla’s highest-performing talent and promising employment prospects.”

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“They’re doing bad things, so we sued them,” Musk said in an interview with Automotive News.

Tesla’s Elon Musk talks Rivian lawsuit, “They’re doing bad things, so we sued them”

Tesla has been pretty open with its information in the past. Musk has stated that the company’s patents are open and free to use on numerous occasions, especially if it will increase the push toward sustainable transport. However, poaching Tesla’s possible employees and developmental talent is not apart of the deal and is the basis for why it decided to take Rivian to court.

Rivian denied any wrongdoing and responded to the lawsuit in mid-August 2020, stating:

“As is evident from the many defects on the face of its complaint, this lawsuit is driven by these improper aims, and Tesla’s desire to use the judicial system as a prop to deflect attention from Tesla’s own challenges, to foment fear, uncertainty, and doubt about Rivian, and to provide the pretext to disparage Rivian and its own former employees in the press.”

Tesla claims that at least 178 of its former employees have gone on to work at Rivian, the July complaint said.

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The case will take place in California’s Superior Court in Santa Clara County. It is recognized as Tesla Inc. v. Rivian Automotive Inc., case number 20CV368472.

Tesla lawsuit vs. Rivian 20… by Joey Klender

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla expands driverless Robotaxi geofence in Austin

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Credit: @JoeTegtmeyer/X

Tesla has expanded the operational geofence for its driverless Robotaxi service in Austin, Texas, marking the first such increase in some time. The updated Service Area for Robotaxi in Austin now spans about 288 square miles and is roughly 9 percent larger than the previous boundary.

This incremental growth adds approximately 24 square miles of coverage, bringing the prior zone of roughly 264 square miles into a broader footprint that better serves northern suburbs.

The expansion extends the geofence northward toward Pflugerville along the US 183 corridor, incorporating additional neighborhoods north of the Domain and areas such as Mesa Park. These additions include higher-end residential and commercial districts that previously sat just outside the allowed operating zone.

Riders can now request unsupervised trips that begin or end in these newly included locations, provided the entire route remains inside the digital boundary:

Tesla first launched public Robotaxi operations in Austin in mid-2025 with a modest initial zone of about 20 square miles. Subsequent enlargements in 2025 and early 2026 steadily grew the map until it covered much of the metropolitan area.

After the last major update roughly ten months earlier, the company held the boundary steady while it collected additional miles and refined the FSD suite.

The modest nine percent increase still matters for daily utility. Longer trips become possible, more residents gain access, and the fleet can accumulate more diverse real-world data across new road types and traffic patterns. Observers note that the added territory aligns with existing Tesla service infrastructure, which could support more efficient vehicle staging in the North end of Austin.

Although the geofence has grown, Tesla continues to operate a relatively small unsupervised fleet in the city. The company has emphasized safety and software readiness over rapid geographic scaling. This latest map update signals that Tesla remains committed to expanding Robotaxi availability in its home market as it prepares for further software improvements and potential Cybercab deployments.

The 288-square-mile zone now gives Austin riders one of the larger driverless service areas currently available in the United States.

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Elon Musk’s Grok can basically control anything in your Tesla now

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Credit: Tesla

Tesla’s 2026 Summer Update turns Grok from a talking companion into a true in-car controller, with considerably expanded capabilities. Where the assistant once answered questions and handled navigation, it can now operate hardware and software through ordinary speech, including several requests at the same time.

Grok has become incredibly robust over the past few quarters, and this new ability that Tesla has included with its Summer Update is perhaps the clearest sign of just how capable it has become.

You can issue many commands to Grok at once, and each will be taken care of: anything from headlight control to climate adjustments to mirror folding can now all be taken care of with a simple sentence spoken toward Grok:

Here’s another example I used in my Model Y:

Tesla’s official Release Notes list the core powers of Grok’s new capabilities: Grok can place phone calls from a paired phone, search a streaming service and queue music, adjust climate, and search the Controls panel. Drivers can also ask it questions about the vehicle or the latest features included in a recent software update.

It can also take care of driving settings, dynamics, and other relevant preferences that deal with how the car operates and handles.

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Tesla Summer Update begins rolling out: a look at the new features

It’s also more of a use case than a novelty feature. Grok was great for learning about something that was being pondered while Full Self-Driving was taking care of the major automotive responsibilities, but it did have some useful functionality when it came to navigation.

Another less-noted improvement is the swift transition that Grok has from thinking of its answer to giving you one. In the past, it would take a few seconds for Grok to truly come up with a valuable response. It now seems that it is improving, at least slightly.

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Tesla is fixing Full Self-Driving’s pothole problem

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Tesla Model Y L in a field
Credit: Tesla

Tesla Full Self-Driving is set to get a major fix with pothole avoidance, a feature that CEO Elon Musk said recently was “coming soon.” The feature has been included within the FSD v14 release notes for some time as an upcoming improvement.

Potholes come in all shapes and sizes, but one thing is universal about them, and that is the fact that every driver wants to avoid them. Driving into or over a pothole can cause tire and wheel damage, alignment issues, and even, in some more severe instances, injury to occupants or major damage to a vehicle in despair.

Tesla Cybercab uses a unique strategy for picking up the right rider

Musk said late last night in a post that pothole avoidance while utilizing the Full Self-Driving suite is “coming soon.”

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Full Self-Driving, even in its most recent and robust forms, still has its shortcomings. While the suite has performed exceptionally well with avoiding on-road obstacles like cardboard boxes, horse droppings, car parts, and other debris, it still seems to struggle with recognizing certain things.

Potholes and other abrupt changes in a road’s layout are things that FSD still tends to struggle with. Perhaps the suite’s 3D modeling is still in need of some additional data or some sort of script that will help it to avoid a potentially destructive pothole or bump in the road that would be easily recognizable by the human eye.

Musk has mentioned pothole avoidance for some time, with the initial idea coming in April 2019 when an owner first requested the feature. Musk said that Tesla would “definitely” develop pothole avoidance.

In August 2020, Musk said Tesla was in the process of labeling bumps and potholes so cars can either slow down or steer around them altogether.

Tesla to utilize micro maps for pothole-detection in future update

Avoiding major disturbances in the road is a necessary feature for Full Self-Driving to have, especially as Tesla is working toward a fully autonomous program that will eventually allow every occupant in the vehicle to sleep, work, or enjoy leisure time while traveling.

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That truly begins this week with the launch of Cybercab on Thursday.

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