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Rivian R1T and R1S: Top 10 hidden features that make an electric off-road vehicle
Rivian came out of the shadows this week with a bang, unveiling two impressive all-electric luxury adventure vehicles — the R1T pickup truck and the R1S SUV. While both vehicles are armed to the teeth with cutting-edge tech, the R1T and the R1S are true-blooded off-road machines that are as capable off the beaten path as they are on paved highways.
The R1T and the R1S share the same platform, and both vehicles carry the brand’s no-compromises approach to utility and storage. Inasmuch as details of the two electric vehicles have caught the eye of the auto community, though, it should be noted that Rivian’s pickup truck and SUV have a number of compelling, almost “hidden” features that are yet to be discussed. Here are ten of the most notable.
1. Dual LiDAR and front-facing cameras for semi-autonomous driving
Rivian notes that both the R1T and the R1S will eventually be capable of Level 3 Self-Driving on highways. To accomplish this, the company has equipped the R1T and the R1S with a suite of cameras, radar, ultrasonic sensors, high-precision GPS technologies, and LiDAR. Images taken by Teslarati reveal that two of the cameras are found behind the vehicles’ rearview mirror, while their two LiDAR units are situated below the pickup truck and the SUV’s “Stadium” headlights.
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- (Photos: Rivian, Christian Prenzler)
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- (Photo: Christian Prenzler)
2. USB-C Ports, 110v outlets, and air compressors
At the back of the Rivian R1T pickup truck bed lies a set of 3 USB-C and 3 110V outlets, which would be an invaluable feature for owners who love to camp outdoors (the feature pretty much makes the R1T into a giant power bank). The built-in air compressor will also be useful for owners who are transporting bikes and inflatables during trips.
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- (Photo: Rivian)
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- (Photo: Rivian)
3. R1T liftgate and truck bed tricks
Both the R1T’s liftgate and truck bed are electric-powered, which gives the vehicle some nifty tricks. With the touch of a button, owners could open the pickup’s liftgate in either a 90-degree or 180-degree angle, the former being incredibly useful for transporting long cargo and the latter being a perfect way to access items on the truck bed easily. The R1T is also capable of automatically deploying or retracting its bed covering, which protects cargo from dirt and rain, to name a few.
4. Removable Carbon Fiber Aero Wheel inserts
Rivian’s R1T pickup truck debuted with a set of wheels that featured what appeared to be carbon fiber Aero inserts. Such design elements maximize range and improve battery efficiency, as observed by Tesla Model 3 owners who tested their electric sedan’s consumption with and without Aero covers in place. Considering that Rivian’s vehicles are built for tough environments, optimizations such as Aero inserts could go a long way in ensuring that the vehicles get as much range as they can.
5. Rivian’s “Launch Edition Lunar Rock” variant
While Rivian is yet to announce if it would release a special trim for its first production vehicles, similar to Tesla’s “Founders Series” and Audi’s “Edition One” for the e-tron SUV, photos of the R1S that we captured show a distinct branding — “Riv Launch Edition Lunar Rock.” As such, early reservation holders of Rivian’s luxury electric vehicles would likely find themselves in a special edition vehicle.
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- Details of the Rivian R1T and the Rivian R1S. [Credit: Chistian Prenzler/Teslarati]
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- Details of the Rivian R1T and the Rivian R1S. [Credit: Chistian Prenzler/Teslarati]
6. Ventless HVAC
Both the Rivian R1T and the R1S feature vents with automated controls, with the pickup truck and SUV’s air conditioning being managed by the vehicles’ fully-automated “Ambient AC” system. If the EV community’s warm reception to the Model 3’s air vents is any indication, there is a good chance that customers would be fond of the R1T and R1S’ “Ambient AC” system as well.
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- Details of the Rivian R1T and the Rivian R1S. [Credit: Chistian Prenzler/Teslarati]
7. “Gear Tunnel” compartments
A key feature of the Rivian R1T is its “Gear Tunnel,” a storage space that runs the entire width of the pickup truck and is optimized to store long items such as fishing rods and golf clubs. That’s not all, though, as even the Gear Tunnel’s covers have hidden storage in them, which could fit a small bag. Considering the potential of the storage space, perhaps Rivian could even introduce a sliding rail for the Gear Tunnel in the future, which would make retrieving items easier.
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- (Photo: Christian Prenzler)
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- Details of the Rivian R1T and the Rivian R1S. [Credit: Chistian Prenzler/Teslarati]
8. Infotainment systems front and back
Both the Rivian R1T and the R1S are loaded to the teeth with tech. This is evident in the robust touchscreen interfaces on the vehicle, from the large center console in front to a smaller 6.8-inch touchscreen at the back, where passengers can set their preferences for features such as climate control.
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- The Rivian R1S dashboard. [Credit: Rivian]
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- (Photo: Christian Prenzler)
9. A cool, hidden flashlight
Being an adventure vehicle, the R1T and the R1S are fitted with a novel and very practical feature — a flashlight embedded on the vehicle’s front doors. Simple? Yes. Useful for the outdoors? Most certainly.
10. Eco-friendly flourishes
Rivian has made it a point to equip its vehicles with materials that are premium and eco-friendly at the same time. The floor mats, for example, are made from a thin, lightweight materials that almost feels like carbon fiber. The vehicles’ seats are covered in vegan-friendly materials as well. The company’s attention to detail is also notable, as evidenced by the subtle flourishes of the Rivian branding in areas such as the dashboard.
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- Details of the Rivian R1T and the Rivian R1S. [Credit: Chistian Prenzler/Teslarati]
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- Details of the Rivian R1T and the Rivian R1S. [Credit: Chistian Prenzler/Teslarati]
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- Details of the Rivian R1T and the Rivian R1S. [Credit: Chistian Prenzler/Teslarati]
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- Details of the Rivian R1T and the Rivian R1S. [Credit: Chistian Prenzler/Teslarati]
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- Details of the Rivian R1T and the Rivian R1S. [Credit: Chistian Prenzler/Teslarati]
Reservations for the R1T pickup truck and the R1S SUV are now open. Interested customers can place a refundable $1,000 deposit for each of the vehicles here. Rivian expects to begin production of the R1T in 2020, followed by the R1S in 2021.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
