News
Rivian’s R2 SUV is coming just in time for the next wave of new BEVs [Opinion]
Rivian CEO and Founder RJ Scaringe teased details about the Rivian R2 SUV, the smaller sibling of the company’s R1S vehicle. The Rivian R2 is expected to launch by 2024 when a new wave of battery-electric vehicles is expected to arrive.
Scaringe teased the Rivian R2 SUV during his Instagram Q&A session last weekend. The tease was brief but sufficient to reveal that Rivan is indeed developing a new vehicle. The company covered the R2 with a black cloth, so the audience could only see its silhouette.
Based on its brief appearance during Scaringe’s Q&A, the R2 SUV will be significantly smaller than the R1S but maintains its sibling’s general shape. Jeff Hammond, the Head of Rivian’s design team revealed that the vehicle under the black cover was a clay model of the R2 SUV.
Automakers traditionally use industrial plasticine modeling material or hobby clay when figuring out the design of a new vehicle. Clay allows designers and engineers to play with the layout of the new vehicle and quickly make changes. Clay car models are also helpful in wind tunnel tests and experiments where design changes might affect the aerodynamic efficiency of a new car.
Rivian R2 SUV & its Competition
RJ Scaringe also hinted at new colors, materials, and finishes Rivian might roll out with the R2 SUV. During the Q&A session, a question about other R2 details was asked, and Scaringe replied by introducing the Director of Rivian’s CMF (color, materials, and finishes) team.
The R2 SUV might have its own colors, interiors, and finishes separate from its R1 siblings. Differentiating the R2 SUV from the R1 lineup would be wise for Rivian. The R2’s interiors, colors, and finishes would affect the final price of the battery electric vehicle (BEV). Other components of the R2 SUV would also affect its cost and, therefore, its sales performance in the market.
Price and design will be critical factors in the R2 SUV’s success. The Rivian R2 SUV will launch at a time when a new wave of BEVs is set to hit the market. The new BEVs all have a few things in common. First, they are smaller, more compact. And second, they are more affordable.
For instance, Tesla’s long-anticipated $25,000 compact vehicle is expected to hit the market around the same time as the Rivian R2. Tesla’s compact car is already in development and the company has teased a launch event soon. Some sources have shared that Tesla is working on a smaller version of the Model Y and aims to reach an annual production capacity of 4 million units for the compact vehicle.
If rumors are true, the Rivian R2 SUV might directly compete with a compact Tesla Model Y. Rivian seems determined to give the R2 SUV the best shot on the market, too. Last year, Scaringe stated that Rivian’s R2 productions would use batteries manufactured domestically. If Rivian plays it right, the R2 SUV might be eligible for all of the Inflation Reduction Act’s $7,500 EV tax credits, giving it an edge in the BEV market—at least in the United States.
Watch RJ Scaringe’s Instagram Q&A 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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
