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Rivian R1S: 7-seat, 410-mile SUV is taking on Land Rover in the luxury off-road game
Rivian CEO and founder RJ Scaringe is adopting a bold and strategic play to enter the auto industry. With the recently unveiled R1T electric pickup truck, Rivian is attempting to breach a market dominated by America’s best-selling vehicles like the Ford F-150. With the R1S SUV, which is set to be unveiled today at the 2018 LA Auto Show, the company is taking on pedigreed carmakers such as Land Rover in the luxury SUV segment.
The Rivian R1S, just like its pickup truck sibling, could be described as a luxury adventure vehicle. The SUV is fitted with the same four 147 kW electric motors that power the R1T, as well as the same 2170 battery cells. Similar to the startup’s pickup truck, the R1S is available in three battery configurations — a 105 kWh entry-level variant, a 135 kWh mid-level version, and a 180 kWh top-tier variant. Compared to the R1T, though, the R1S has slightly more range, with the 105 kWh trim having an estimated range of 240+ miles per charge, the 135 kWh version having 310+ miles of range, and the 180 kWh variant having 410+ miles of range in one charge.
Performance between the R1T and the R1S is identical, with 135 kWh SUV capable of traveling from 0-60 mph in 3 seconds flat. Keeping the company’s character, the R1S could go through up to 1 meter of water. That said, the two vehicles also have their differences.
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- The Rivian R1S. [Credit: Rivian]
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- The interior of the Rivian R1S. [Credit: Rivian]
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- The Rivian R1S dashboard. [Credit: Rivian]
The Rivian R1S SUV. [Credit: Rivian]
The R1S, for one, has a slightly shorter wheelbase at 3,075 mm, which is less than the R1T’s 3,450 mm. Due to the absence of a bed, the R1S’s 5,040 mm overall length is also shorter than the R1T’s 5,475 mm length. Being a three-row SUV capable of seating seven, the R1S does not have as much storage as the R1T as well, with flourishes such as the pickup truck’s “gear tunnel” being absent on the vehicle. That said, the R1S is still capable of hauling a generous amount of cargo, thanks to its 330-liter frunk and its foldable third-row seats.
We asked the company why it opted to release an SUV together with its flagship pickup truck, considering that the SUV market is equally as dominated by big-name, veteran carmakers. Rivian noted that the risk for the R1S is actually quite low, considering that it shares 93% of the R1T pickup truck’s components. The company further pointed out that the SUV market has already been established, and the success of vehicles like the Tesla Model X, which is built on the Model S platform, has proven that cross-pollination is a viable strategy.
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- The Rivian R1T and R1S take center stage at the 2018 LA Autoshow
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- The Rivian RT1 and the R1S compared. [Credit: Rivian]
Teslarati‘s Christian Prenzler was able to get an early preview of the Rivian R1S prior to its unveiling, and he notes that the vehicle’s overall form and size seem to be similar to the Chevrolet Tahoe and the GMC Yukon. He also stated that the SUV has a liftgate at the rear, which gives passengers a place to sit on. The R1S’ third-row seats, which are usually cramped in conventional SUVs, are also adjustable, allowing passengers to gain more legroom in exchange for less luggage space.
Rivian CEO and founder RJ Scaringe stated that he wants the company’s vehicles to focus on the adventure niche. In this light, the R1S SUV and the R1T electric pickup truck complement each other well, allowing the company to enter two hyper-competitive segments with vehicles that have a serious punch.
“They may have different form factors, they may be different sizes, but every single one of [our products] has to have this Patagonia-like feel of enabling adventure. We want to keep that very sharp. We want to focus only on the adventure space, so customers understand what we stand for,” he said.
Reservations for the R1S SUV are now open. Interested customers can place a refundable $1,000 deposit for the vehicle here. Production is expected to begin in 2021.
With assistance from Christian Prenzler.
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.”
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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
