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Tesla, Rivian get deadlines from judge in stagnant trade secret lawsuit

(Credit: Tesla, Rivian)

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Tesla has been given thirty days to produce documents relevant to a lawsuit it filed against Rivian Automotive in July 2020, as the nearly stagnated lawsuit has been given deadlines for new developments by Judge Peter Manoukian. Rivian will then have 30 days to respond to Tesla’s requests regarding pretrial information sharing.

In July 2020, Tesla sued Rivian, claiming that the automaker was poaching former Tesla employees, as well as stealing highly-sensitive information that employees may have taken with them to Rivian after leaving Tesla. Tesla filed the complaint in the San Jose, California State Court, stating that “Misappropriating Tesla’s competitively useful confidential information when leaving Tesla for a new employer is obviously wrong and risky.”

Rivian denied involvement and stated that employees are required to confirm “that they have not, and will not, introduce former employers’ intellectual property into Rivian systems.”

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

Rivian pushed back, requesting the Judge throw out the trial. “Tesla did not file this case to defend or protect any legitimate intellectual property rights. Tesla sued in an improper and malicious attempt to slow down Rivian’s momentum and attempt to damage Rivian’s brand. And it sued in an abusive attempt to scare employees thinking about leaving Tesla. While Tesla itself recruits employees from other automotive and technology companies, it cries foul to Rivian, which competes, fairly, for this same automotive and technology talent,” Rivian said in a rebuttal.

Over two years later, Judge Peter Manoukian is now giving Tesla 30 days to produce any documents it claims were stolen by employees who left Tesla for Rivian, a report from Bloomberg is now suggesting. Following the closure of Tesla’s 30-day period, Rivian will then have 30 days to respond to Tesla’s requests for pretrial information sharing, which includes details on what steps Rivian took to investigate Tesla’s claims of information or trade secret theft.

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Judge Manoukian said the deadlines for both sides are important because they will bring “the best resolution for this important and interesting matter.”

Tesla had another lawsuit nudged forward by a Judge in October. Judge James Donato imposed a deadline for Nikola Motor, stating that a case involving design patents was not closed but was determined to be “administratively closed,” meaning it is of low importance to the court and could be removed from the Judge’s workload. “A technology tutorial is set for January 13, 2022. The claim construction hearing is set for January 27, 2022. The case will remain administratively closed pending further order,” Judge Donato wrote.\

Nikola responded to the ruling with excuses for why it had not presented any new evidence in the case, which Judge Donato called “ostensible” “and “not particularly compelling.” Nikola filed the lawsuit in 2018 and claims that Tesla stole several design patents that would have cost the company of $2 billion in market share. Tesla has stated that there is “no merit” to the claims

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

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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Elon Musk

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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