Rivian has unveiled the R2, its next-generation platform. The all-electric crossover is expected to bring Rivian into the next chapter of its growth as an automaker. It is also expected to allow Rivian to scale its operations, making it a mainstream automaker.
Rivian CEO RJ Scaringe presented the R2 to an enthusiastic audience. Following is a quick overview of the Rivian R2.
Exterior
The Rivian R2 looks very similar to the Rivian R1S. Just like the flagship SUV, it features a large frunk that could fit some luggage and gear. At the rear, the R2 includes some features that provide an open-air experience, such as quarter windows that pop out and a rear glass window that drops down. The drop-down rear glass of the R2 also makes loading items to the all-electric crossover’s trunk much easier.
Introducing R2.
⚡️0-60 under 3 seconds.
⚡️Up to 300+ miles of range.
⚡️Room for five and all your gear.
Reserve yours now: https://t.co/1H408AWcA4
Deliveries expected to begin in the first half of 2026. The features, options and digital displays shown are subject to… pic.twitter.com/xC5ZjyaoCL— Rivian (@Rivian) March 7, 2024
Size-wise, Scaringe noted that the Rivian R2 is about 400 mm (15.7 inches) shorter than the R1S. A slide used in the presentation noted that the R2 has a length of 4715 mm (185.6 inches), a height of 1700 mm (66 inches), and a wheelbase of 2935 mm (115.5 inches). This should make the all-electric crossover easier to maneuver and drive. Its compact size should also help it fit in tight spaces and garages.
Interior
The Rivian executive noted that despite its more compact dimensions compared to the R1S, the R2 is designed to feel spacious inside. “It feels so inviting,” Scaringe said. Like the R1T and R1S that came before it, the R2 is also a vehicle that’s designed to be taken outdoors. It was thus no surprise to see that the R2’s second and first-row seats are capable of folding flat for an optimal car camping experience.
Take a 360-degree tour of R2. pic.twitter.com/euyJkScRYq— Rivian (@Rivian) March 7, 2024
Much to the amusement of the audience, Scaringe noted that the R2 features two gloveboxes and Rivian’s trademark in-door flashlight. Steering wheel controls are dominated by two large scroll wheels, which is not unlike what’s used in the previous generation Tesla Model 3. Scaringe also noted that the R2 features 11 cameras and a suite of five radar sensors, four in the corners and one long range radar in front. The cameras and radar should help the Rivian R2’s planned self-driving features.
Specs
Scaringe did not share much about the Rivian R2’s specs, though he did state that the vehicle would be equipped with a battery pack comprised of 4695 cylindrical cells, which are larger than the 21 mm cells used in the R1 platform. It should also be noted that the Rivian R2 will feature a structural bombardment pack, which means that the top of the battery will be the floor of the vehicle itself.
Every seat in R2 can lay flat for the ultimate car camping experience. pic.twitter.com/hDH3c17y5N— Rivian (@Rivian) March 7, 2024
The Rivian R2 will be offered in three versions: a Single Motor Rear Wheel Drive (RWD) variant, a Dual Motor All Wheel Drive (AWD) variant, and a Tri-Motor variant with two motors on the back and one motor at the front. Scaringe noted that all three R2 variants are expected to achieve over 300 miles of range. The Tri-Motor R2 is expected to achieve a 0-60 mph time of less than 3 seconds.
Price and Release Date
The Rivian R2 is expected to start at $45,000. While Scaringe did not discuss details on the vehicle’s pricing, this amount is likely true for the entry-level RWD version. Still, $45,000 is quite competitive, as the Tesla Model Y, a best-selling all-electric crossover, starts at $43,990 before options today.
Feel the breeze from all directions with the R2’s 360-degree open air experience, including powered rear glass. pic.twitter.com/GMKOEg5HpW— Rivian (@Rivian) March 7, 2024
Scaringe noted that the Rivian R2 is expected to start deliveries in the second half of 2026. The vehicle will initially be built at Rivian’s Normal, IL facility.
Watch Rivian’s R2 unveiling in the video below.
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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.