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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.

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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.

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.

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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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Elon Musk’s X will start using a Tesla-like software update strategy

The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.

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Ministério Das Comunicações, CC BY 2.0 , via Wikimedia Commons

Elon Musk’s social media platform X will adopt a Tesla-esque approach to software updates for its algorithm.

The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.

X’s updates to its updates

As per Musk in a post on X, the social media company will be making a new algorithm to determine what organic and advertising posts are recommended to users. These updates would then be repeated every four weeks. 

“We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed,” Musk wrote in his post.

The initiative somewhat mirrors Tesla’s over-the-air update model, where vehicle software is regularly refined and pushed to users with detailed release notes. This should allow users to better understand the details of X’s every update and foster a healthy feedback loop for the social media platform.

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xAI and X

X, formerly Twitter, has been acquired by Elon Musk’s artificial intelligence startup, xAI last year. Since then, xAI has seen a rapid rise in valuation. Following the company’s the company’s upsized $20 billion Series E funding round, estimates now suggest that xAI is worth tens about $230 to $235 billion. That’s several times larger than Tesla when Elon Musk received his controversial 2018 CEO Performance Award. 

As per xAI, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.

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Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award

The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system.

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Credit: Grok Imagine

Tesla’s Full Self-Driving (Supervised) system has been named the best driver-assistance technology on the market, earning top honors at the 2026 MotorTrend Best Tech Awards

The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system. And it wasn’t even close. 

MotorTrend reverses course

MotorTrend awarded Tesla FSD (Supervised) its 2026 Best Tech Driver Assistance title after extensive testing of the latest v14 software. The publication acknowledged that it had previously criticized earlier versions of FSD for erratic behavior and near-miss incidents, ultimately favoring rivals such as GM’s Super Cruise in earlier evaluations.

According to MotorTrend, the newest iteration of FSD resolved many of those shortcomings. Testers said v14 showed far smoother behavior in complex urban scenarios, including unprotected left turns, traffic circles, emergency vehicles, and dense city streets. While the system still requires constant driver supervision, judges concluded that no other advanced driver-assistance system currently matches its breadth of capability.

Unlike rival systems that rely on combinations of cameras, radar, lidar, and mapped highways, Tesla’s FSD operates using a camera-only approach and is capable of driving on city streets, rural roads, and freeways. MotorTrend stated that pure utility, the ability to handle nearly all road types, ultimately separated FSD from competitors like Ford BlueCruise, GM Super Cruise, and BMW’s Highway Assistant.

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High cost and high capability

MotorTrend also addressed FSD’s pricing, which remains significantly higher than rival systems. Tesla currently charges $8,000 for a one-time purchase or $99 per month for a subscription, compared with far lower upfront and subscription costs from other automakers. The publication noted that the premium is justified given FSD’s unmatched scope and continuous software evolution.

Safety remained a central focus of the evaluation. While testers reported collision-free operation over thousands of miles, they noted ongoing concerns around FSD’s configurable driving modes, including options that allow aggressive driving and speeds beyond posted limits. MotorTrend emphasized that, like all Level 2 systems, FSD still depends on a fully attentive human driver at all times.

Despite those caveats, the publication concluded that Tesla’s rapid software progress fundamentally reshaped the competitive landscape. For drivers seeking the most capable hands-on driver-assistance system available today, MotorTrend concluded Tesla FSD (Supervised) now stands alone at the top.

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Elon Musk’s Grokipedia surges to 5.6M articles, almost 79% of English Wikipedia

The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago.

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UK Government, CC BY 2.0 , via Wikimedia Commons

Elon Musk’s Grokipedia has grown to an impressive 5,615,201 articles as of today, closing in on 79% of the English Wikipedia’s current total of 7,119,376 articles. 

The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago. Needless to say, it would only be a matter of time before Grokipedia exceeds English Wikipedia in sheer volume.

Grokipedia’s rapid growth

xAI’s vision for Grokipedia emphasizes neutrality, while Grok’s reasoning capabilities allow for fast drafting and fact-checking. When Elon Musk announced the initiative in late September 2025, he noted that Grokipedia would be an improvement to Wikipedia because it would be designed to avoid bias. 

At the time, Musk noted that Grokipedia “is a necessary step towards the xAI goal of understanding the Universe.”

Grokipedia was launched in late October, and while xAI was careful to list it only as Version 0.1 at the time, the online encyclopedia immediately earned praise. Wikipedia co-founder Larry Sanger highlighted the project’s innovative approach, noting how it leverages AI to fill knowledge gaps and enable rapid updates. Netizens also observed how Grokipedia tends to present articles in a more objective manner compared to Wikipedia, which is edited by humans.

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Elon Musk’s ambitious plans

With 5,615,201 total articles, Grokipedia has now grown to almost 79% of English Wikipedia’s article base. This is incredibly quick, though Grokipedia remains text-only for now. xAI, for its part, has now updated the online encyclopedia’s iteration to v0.2. 

Elon Musk has shared bold ideas for Grokipedia, including sending a record of the entire knowledge base to space as part of xAI’s mission to preserve and expand human understanding. At some point, Musk stated that Grokipedia will be renamed to Encyclopedia Galactica, and it will be sent to the cosmos

“When Grokipedia is good enough (long way to go), we will change the name to Encyclopedia Galactica. It will be an open source distillation of all knowledge, including audio, images and video. Join xAI to help build the sci-fi version of the Library of Alexandria!” Musk wrote, adding in a later post that “Copies will be etched in stone and sent to the Moon, Mars and beyond. This time, it will not be lost.”

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