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Rivian’s R1T electric truck kitchen set was made with sustainable materials
Rivian has a lot of excitement built up for its outdoor adventure brand, and alongside the launch of its all-electric R1T pickup truck and R1S SUV, the company also has plans to launch must-have accessories for new vehicle owners. The most notable of these is the extendable kitchen set designed for the R1T gear tunnel which is constructed with environmentally friendly materials that align with Rivian’s sustainability mission.
A close-up look at Rivian’s portable kitchen was recently published by Tech Crunch from their attendance at the Overland Expo West in Flagstaff, Arizona this past May. The car maker had unveiled the cooking companion at the event, and team members were demonstrating the module’s functionality. Part of Rivian’s branding is centered around being part of a sustainable future as an electric vehicle car manufacturer, and with that in mind, the gear tunnel kitchen uses recycled materials in its frame and work surfaces, specifically the brand Richlite, as revealed in the recent video. Richlite is an ultra-durable, heat-resistant blend of recycled paper and resin that has received several sustainability certifications, including Greenguard Certification for low emissions, Rainforest Alliance Certification, and Forest Stewardship Council Certification, per the company’s website.
Another interesting part of Rivian’s portable kitchen is its induction stovetop and electric kettle; both were designed to tuck away into the kitchen’s frame for maximum usability with minimum storage requirements. Drawers with cork inserts that stabilize utensils and cooking supplies while driving are also included in the design. The kitchen set additionally includes a dish drying rack made from bamboo that folds out of a built-in sink. Finally, there’s a 5-gallon water tank to supply any drinking, cooking, or cleaning needs.
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- Rivian’s R1T gear tunnel kitchen set. | Image: Rivian/Twitter
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- Rivian’s R1T gear tunnel kitchen set. | Image: Rivian/Twitter
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- The Rivian R1T with tent attachment. | Image: Rivian/Instagram
After unveiling its kitchen set, Rivian’s social media focused on promoting the accessory to help jog potential customers’ imaginations and inspire trips of their own with food at the forefront. Two company team members documented a trip to Sedona with the R1T truck over Memorial Day weekend highlighting the kitchen specifically along with a tent that attaches to the truck bed. While this newest gear tunnel addition was only meant to be a prototype to interact with the overlanding community and gain feedback for Rivian’s products, its popularity has convinced the company to offer it as a standard accessory available for purchase when the company fully launches its production vehicles.
The Rivian team is currently hard at work bringing the company up to a high-volume manufacturing level for the R1T and R1S. In the meantime, CEO RJ Scaringe has teased a few other environmentally-focused projects underway. At the company’s manufacturing facility in Normal, Illinois, Rivian is planning an on-site food farm for employees in collaboration with local universities. Also, the car maker recently announced an expansion of its partnership with rock climber Alex Honnold via an energy storage project using the company’s expended car batteries for a micro solar grid in Puerto Rico.
Deliveries of the first customer R1T pickup trucks and R1S SUVs are expected to happen at the end of 2020. Scaringe recently estimated that in 2021, Rivian’s estimated first full year of rolling vehicles through the assembly line, approximately 20,000 to 40,000 cars will be made. Until then, preorders are still open on their website.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
