News
Tesla gets nod from Rivian CEO for combating ‘untruths’ about electric vehicles
The long, arduous road that Tesla traveled over the past years was recently acknowledged by RJ Scaringe, the 35-year-old CEO of electric vehicle maker Rivian. During a fireside chat at the Automotive News World Congress, Scaringe noted that his 10-year-old company aims to do to pickup trucks and off-road-capable SUVs what Tesla did to the performance and premium automotive segments. That is, he wants Rivian to disprove any untruths that are currently prevalent in the truck and SUV industry.
“I think any great brand … to build a brand that customers are going to be excited about and that customers are going to want to be part of, it has to fundamentally reset expectations. It has to disprove untruths. Tesla took the untruth that electric cars were boring and slow — that they were glorified golf carts — and they disproved that. They showed people that an electric car can be exciting and fun. What we need to disprove is that an electric vehicle can’t get dirty, and that an electric vehicle can’t be rugged, and an electric vehicle can’t go off-road and take your family places, and that an off-road vehicle can’t be good on-road,” he said.
Rivian’s first two vehicles, the R1T pickup truck and the R1S SUV, seem perfectly capable of playing the part. Rivian impressed the EV community and the auto industry when it emerged after 10 years of operating on stealth mode. Both vehicles are well-rounded and refined, created through years of work by a team that included alumni from McLaren (yes, that McLaren). Both have four electric motors that provide immense power and torque, both offer range of over 400 miles per charge, and both are built with intelligent driver-assist features that can transition into full self-driving in the future. During the R1T’s unveiling last November at the historic Griffith Observatory in Los Angeles, Rivian’s intentions of tapping into the premium EV market were evident.
During his recent fireside chat, Scaringe mentioned that the market Rivian is going for are people who own adventure vehicles and luxury vehicles. In a later statement, Scaringe expressed a point related by Elon Musk during the days of the original Roadster, when he noted that the small, two-door high-performance sports car should perform on the same level as the best fossil fuel-powered cars around. For Scaringe, this same point stands true for the R1T and the R1S.
“We want to get the guy who already has a Range Rover sitting next to a Tesla [in the garage], or the [Jeep] Wrangler sitting next to the [BMW] i3, and grab them with something that was just completely different than what they thought was possible. It will be the best-driving truck or SUV in the world. It must be, because if it’s not, why would somebody pick us over a Ford or over a BMW?” he said.
For now, though, Scaringe noted that Rivian is determined to learn from the experiences of companies like Tesla, while integrating concepts from established automakers such as GM and Toyota. With the successful unveiling of its first vehicles, after all, Rivian is about to tackle one of the hardest parts of being an automaker — actually building cars.
“We do recognize the complexity of assembling and putting vehicles together, of managing a very complex supply chain and logistics network, and we’re very [cognizant] of the nuts and bolts, and of the need to follow a proper process to ensure that, when we launch the vehicle, it can be launched with as few problems, errors, and challenges as possible,” Scaringe said.
When Elon Musk wrote his Master Plan Part Deux, he openly admitted that it is very difficult to become successful in the United States’ auto market. Considering the number of automakers that have gone under, Musk lightly noted that starting a car company is downright idiotic, and starting an electric car company is “idiocy squared.” As foolhardy as the venture might have been, though, Tesla has thrived, driven by an ever-increasing demand for its premium electric cars and energy storage products. The Model 3, the company’s most affordable vehicle to date, has been making a dent in the US’ auto market, becoming the overall best-selling luxury car in the country last year.
It has not been easy for the Silicon Valley-bred carmaker. The Model 3 ramp, for one, is described by Elon Musk as one of the most difficult periods of his career. Musk bet Tesla’s future in the electric sedan, and it took longer than expected to reach the company’s self-imposed production targets. Nevertheless, since hitting its goal of producing 5,000 Model 3 per week at the end of Q2 2018, Tesla has steadily improved its footing with the electric car’s production. In Q3 2018, Tesla even posted a profit. The fourth quarter of 2018 might be just as successful.
If Rivian’s strategy so far is any indication, though, the company stands a good chance of avoiding some of the challenges faced by Tesla during the ramps of the original Roadster, the Model S, X, and 3. Rivian, for one, has already secured a facility in Normal, Ill. The company is also working closely on the development of its vehicles’ battery packs. Apart from this, Rivian is also consulting the veterans of the auto industry. In his recent appearance at Autoline After Hours, for one, auto teardown specialist Sandy Munro, who conducted a thorough analysis of the Tesla Model 3, mentioned that Rivian is one of his firm’s clients.
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
