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Rivian R1T gets glowing review after first drive: “the most remarkable pickup”
The Rivian R1T recently received a glowing review, thanks to its apparent seamless combination of bleeding-edge technology and classic pickup truck capabilities. The review, which was published by automotive news outlet MotorTrend, may very well be the first of many positive responses that the R1T would receive when it begins customer deliveries later this month.
The Rivian R1T was unveiled in late 2018 with an estimated 2020 production date. Similar to other automakers, however, Rivian was hit by the pandemic last year and this year’s ongoing chip shortage and supply chain issues. These challenges ended up delaying Rivian’s R1T deliveries to this month, September 2021. But if the vehicle’s first drive review is any indication, it appears that the wait is definitely worth it for the all-electric pickup truck.
The publication entered that the Rivian R1T’s killer features are its powertrain and suspension setup. With four electric motors and height-adjustable air suspension, the R1T is both quick on the pavement and capable off-road. By having one motor for each of its wheels, the R1T offers real-time torque vectoring as well, allowing the vehicle to deliver power exactly where it’s needed.
Rivian’s drive modes represent the best that the company’s torque vectoring capabilities could offer. The R1T features several drive modes, such as “All-Purpose,” which is both swift and sure-footed, “Conserve,” which maximizes efficiency by turning the vehicle into a front-wheel drive pickup truck, and “Sport,” which strangely makes the R1T handle and behave like a sports car. Just like other premium electric vehicles, the R1T is very quick and very smooth on the road.
But inasmuch as the Rivian R1T is capable on paved roads, the all-electric pickup truck truly shines when the vehicle goes off-road. MotorTrend noted that the R1T could rival a Jeep Wrangler at times, as it is capable of traversing obstacles that may give its internal combustion-powered peers a difficult time. The fact that the R1T’s ground clearance ranges from 7.9 inches to a whopping 14.4 inches is impressive, and it allows the vehicle to take on even the most unforgiving terrains.
The glowing review of the R1T continues to its storage spaces, which are very generous in the vehicle. However, the publication did highlight that the R1T is not perfect, as its infotainment system’s user interface needs improvement. The R1T’s rear seats are also best for passengers who are not very tall, as their upright backseat and firm seats seem designed more for utility than comfort. Legroom, however, is generous.
The Rivian R1T is an adventure truck that is made for people who love the outdoors, and ultimately, this is perhaps the vehicle’s greatest asset. Rivian is pretty much staffed by people who live and breathe adventure, after all, particularly its CEO, RJ Scaringe. Based on what MotorTrend has stated about the vehicle so far, it appears that the R1T, in more ways than one, is the perfect adventure pickup created for the outdoors by people who also love the outdoors. And that in itself is a pretty darn good balance to have.
Watch MotorTrend‘s first drive of the Rivian R1T 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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
