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Rivian pushes back against Tesla, claims trade secret theft lawsuit spreads FUD
Tesla may have opened its patents to other automakers to help foster the rise of electric cars, but the company still maintains a number of key trade secrets. And as could be seen by Tesla’s legal actions last month, when these trade secrets are allegedly breached, it would not hesitate to file a lawsuit against those responsible, even if the company involved is a fellow electric car maker like Rivian.
In a lawsuit last month, the Elon Musk-led company claimed that Rivian has been engaging in trade secret theft through employees that are being poached from Tesla. The company noted that it has no issue with its former employees coming over to Rivian, but it draws the line when former staff break their NDAs and transfer sensitive trade secrets to the Detroit-based EV maker. So far, Tesla has accused Rivian of acquiring proprietary information related to its recruiting process, its bonus and compensation plan for sales personnel, and manufacturing project management, to name a few.
Rivian has denied any wrongdoing, and it has decided to push back against Tesla as well, asking a judge to dismiss the lawsuit from the Silicon Valley-based electric car maker. Rivian argued that two of the three claims in Tesla’s case actually fail to state sufficient allegations of trade secret theft. Instead, the Detroit-based company argued that Tesla’s suit was primarily intended to damage Rivian’s reputation and hurt its recruiting efforts.
“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.
“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.”
In a filing with the California Superior Court in Santa Clara on August 10, Rivian noted that it has “rigorous policies and procedures to make sure it does not obtain confidential information from other companies when on-boarding employees.” The company also claimed that none of the alleged stolen Tesla trade secrets have been located at Rivian or in any of its operations. As noted in a TechCrunch report, Rivian argued that since Tesla’s claims are based on speculation and not facts, the Elon Musk-led company could not adequately justify its right to sue.
Interestingly enough, Rivian did not stop there. Pushing further, the Detroit-based EV maker’s legal team argued that Tesla did not really file a case to defend or protect its proprietary information. According to Rivian’s lawyers, Tesla’s lawsuit is actually an “improper and malicious attempt to slow” down Rivian’s momentum, damage its brand, and possibly even scare away its employees.
“Unfortunately, maligning Rivian was not Tesla’s only ulterior motive. Rather, it crafted its complaint to achieve second improper purpose — namely to send threatening messages to its own employees: don’t dare leave Tesla. Understanding that the strong public policy favoring employee mobility in California restricts the use of non-compete contracts, Tesla’s complaint seeks to punish four of its former employees for leaving Tesla and joining the Rivian team.,” Rivian’s legal team wrote.
Tesla has so far not released a comment relating to Rivian’s response. Rivian’s response to Tesla could be accessed below.
Tesla Lawsuit Rivian Response by Simon Alvarez on Scribd
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Elon Musk
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.
A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested.
In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.
Grok tops hallucination metric
The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively.
Why low hallucinations matter
Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work.
“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”
In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT.
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Tesla (TSLA) receives “Buy” rating and $551 PT from Canaccord Genuity
He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
Canaccord Genuity analyst George Gianarikas raised his Tesla (NASDAQ:TSLA) price target from $482 to $551. He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
The analyst’s updated note
Gianarikas lowered his 4Q25 delivery estimates but pointed to several positive factors in the Tesla story. He noted that EV adoption in emerging markets is gaining pace, and progress in FSD and the Robotaxi rollout in 2026 represent major upside drivers. Further progress in the Optimus program next year could also add more momentum for the electric vehicle maker.
“Overall, yes, 4Q25 delivery expectations are being revised lower. However, the reset in the US EV market is laying the groundwork for a more durable and attractive long-term demand environment.
“At the same time, EV penetration in emerging markets is accelerating, reinforcing Tesla’s potential multi‑year growth runway beyond the US. Global progress in FSD and the anticipated rollout of a larger robotaxi fleet in 2026 are increasingly important components of the Tesla equity story and could provide sentiment tailwinds,” the analyst wrote.
Tesla’s busy 2026
The upcoming year would be a busy one for Tesla, considering the company’s plans and targets. The autonomous two-seat Cybercab has been confirmed to start production sometime in Q2 2026, as per Elon Musk during the 2025 Annual Shareholder Meeting.
Apart from this, Tesla is also expected to unveil the next-generation Roadster on April 1, 2026. Tesla is also expected to start high-volume production of the Tesla Semi in Nevada next year.
Apart from vehicle launches, Tesla has expressed its intentions to significantly ramp the rollout of FSD to several regions worldwide, such as Europe. Plans are also underway to launch more Robotaxi networks in several more key areas across the United States.
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
