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Rivian announces R1T pickup truck: $69k starting price, 400+ mile range, and 11k-lb towing capacity

[Credit: Rivian]

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US-based EV startup Rivian has come out of the shadows to announce the specs of its first vehicle — the R1T all-electric pickup truck. The R1T, which seats five passengers, is designed from the ground up to be as comfortable off the beaten path as it is on paved roads. Armed to the teeth with clever features and cutting-edge technology, Rivian’s first entry into the electric vehicle market has the potential to be a game-changer.

Rivian spent the better part of the past decade developing its first vehicles — the R1T pickup truck and the R1S SUV, which is set to be unveiled tomorrow at the LA Auto Show. Only the specs of the R1T have been unveiled so far, though in terms of performance, range, and features, the pickup truck is notably impressive. The R1T, for one, is equipped with four electric motors, each one having a power capacity of 147 kW, as well as 3,500 Nm of grounded torque per wheel. 

Three battery pack variants will be offered for the vehicle — a 180 kWh battery that is expected to give 400+ miles of range per charge, a 135 kWh option that gives 300+ miles of range per charge, and a 105 kWh variant, which will give about 230+ miles of range per charge. Rivian plans to start manufacturing the R1T’s higher-end options first, followed by the entry-level version, which starts at $69,000 within 12 months from the start of production. Production for the R1T is expected to begin in 2020. 

The Rivian R1T all-electric pickup truck. [Credit: Rivian]

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Being a vehicle designed for the outdoors, the Rivian R1T has the capability to wade through up to 1 meter of water. The pickup, while comparable in size to trucks like the Ford Ranger and the Toyota Tacoma, also outguns its competition in terms of towing capacity. Thanks to its four electric motors, the R1T has a towing capacity of 11,000 pounds, a figure that is more comparable to America’s best-selling vehicle, the larger Ford F-150.

There’s also a lot of storage in the R1T, with a frunk that offers 11.7 cubic feet (330 liters) and a “gear tunnel” — a storage area that spans the width of the vehicle, — that provides an additional 12.4 cubic feet (350 liters) of space. Rivian notes that the gear tunnel would be perfect for storing items like skis, fishing rods, and golf bags. The all-electric pickup’s bed is also fitted with three 110-volt outlets with more than 400 watts available at each, as well as a compressed air source for filling in bike tires.

While the Rivian R1T is evidently designed to be a vehicle that is at home in rough terrain, the pickup truck still features some of the trademark features of premium electric vehicles. Just like Tesla’s electric cars, the R1T features impressive acceleration, with the entry-level truck hitting 60 mph in 4.9 seconds and the 180 kWh top-tier variant going from 0-60 in 3.2 seconds. Interestingly, the mid-level 135 kWh variant of the R1T is the quickest, with a 0-60 mph time of 3 seconds flat. All three versions of the vehicle have a top speed of 125 mph, similar to the Mid Range Model 3 RWD. 

The Rivian R1T all-electric pickup truck. [Credit: Rivian]

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The R1T’s futuristic approach to adventure could be seen in the design flourishes on its interior. The vehicle is equipped with a 15.6″ landscape-oriented center touchscreen, as well as a 12.3-inch display that takes the place of an instrument cluster. A 6.8-inch touchscreen is placed at the back of the center console, giving rear passengers infotainment and climate control access. The R1T’s steering wheel also features two thumb dials, just like the Model 3. Finally, the R1T is fitted with hardware that allows it to be fully self-driving in the future, thanks to a suite of cameras, lidar, radar, ultrasonic, and high-precision GPS technologies.

In a statement to The Verge, Rivian CEO and founder RJ Scaringe stated that the company is laser-focused on the adventure niche. The founder further explained that Rivian stayed largely in the shadows over the past years to ensure that its first vehicles are refined and competitive once they enter the market.

“They may have different form factors, they may be different sizes, but every single one of [our products] has to have this Patagonia-like feel of enabling adventure. We want to keep that very sharp. We want to focus only on the adventure space, so customers understand what we stand for.”

“We were quiet in stealth mode to avoid getting caught in this sort of hype cycle, and we said let’s make sure we have all the pieces lined up — the vehicle, the technology, the team, the supply chain, the manufacturing plant — before we actually talk about it. Because of that, some people have been questioning [us]. People need to see that this is very, very real,” Scaringe said.

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Interested buyers could place a refundable deposit of $1,000 for the Rivian R1T here

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.

The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.

Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:

This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.

It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.

The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.

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Tesla expands Robotaxi geofence, but not the garage

Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.

The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.

It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.

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It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.

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Tesla improves Dashcam playback with awesome addition

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Image Credit: The Kilowatts/Twitter

Tesla has improved Dashcam playback with an awesome new addition, as the company has launched a web-based version that is potentially easier to navigate and operate.

The tool is available at dashcam.tesla.com and will be enabled as your vehicle receives the 2026.20 Software Version. Clips that are captured by your Tesla will be available on the Online Dashcam Clip Viewer once the files on your car’s storage drive are encrypted.

Not a Tesla App first noticed the new feature, and states that once your Tesla updates to 2026.20, the car will automatically protect the clips with an encryption key that is uniquely tied to your owner account.

The web-based viewer should be easier to operate for most. All you will do is head over to dashcam.tesla.com and log in using your account credentials.

Ensure your vehicle is updated to 2026.20 in order for the web-based viewer tool to fetch your vehicle’s saved dashcam clips.

Currently, only a small percentage of owners are updated to this, so it may be a couple of weeks until a majority of owners in the fleet are able to access this feature.

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Watching Dashcam clips on the Tesla smartphone app is quick and convenient, as they can also be easily downloaded and stored right on your smartphone.

However, the clips are sometimes tougher to navigate, and in order to get details like self-driving activation, speed, and turn signals, owners have to screen record the Tesla app and crop out the rest of the screen.

It could also be a massive storage saver as you’ll be able to download the Dashcam clips from the online viewer and save them to your laptop, desktop, a flash drive, or even an external hard drive. This will keep all your clips in one place.

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Tesla Full Self-Driving attempts 150-mile stress test: the good and the bad

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Credit: TESLARATI

I recently took my Tesla Model Y running Full Self-Driving (Supervised) v14.3.3 over 150 miles on the Pennsylvania Turnpike in an effort to truly put the system under a stress test. There were a lot of good moments, and some bad, but overall, Full Self-Driving impressed me.

Last Thursday, I decided it was time to visit the Flight 93 National Memorial near Shanksville, PA. I go a few times a year, and it was a beautiful day. Others have taken some pretty lengthy drives using FSD, but I haven’t had the opportunity to really do something lengthy in quite a few months on an older version. I decided it was the perfect opportunity to try some things out.

I recorded the entire ride there on a GoPro, edited to highlight the crucial moments, and shared them on our social media accounts. If you want to watch them, I’ll share them throughout the piece, but I did not get to do a real breakdown of what I felt about its performance.

Overall Thoughts

I realize it is probably better to do a summation of its performance toward the end of the piece, but I feel like it is also reasonable to lead with this because I was overly impressed with how well it handled everything. The only moments where I felt a little bit of reason to touch the wheel, at least while traveling on the Turnpike and Rt. 30, were due to other drivers and their behaviors.

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I have taken many drives to the Memorial over the past several years, and although it’s not incredibly long, it is a tiring drive. It’s about five hours both ways, close to 300 miles, and I think most of the exhaustion comes from the toll of sitting in the car and then visiting something that is pretty heavy to take in.

This was the first time I’ve ever taken the ride and not felt like I needed to avoid my vehicle after I got home. In the past, I could not even think about driving after I finally arrived at my house, but this was simply different.

It was nice to have something else take the drive for me, while I still had the freedom to take over if I chose to. It made the entire trip more enjoyable.

Full Self-Driving Recognizes Lane-Ending Arrows on Road

After traveling in the fast lane for a little while, FSD noticed the arrows on the road indicating the lane was coming to an end ahead. The car was also in the process of making a pass on a slower vehicle in the middle lane, but aborted this maneuver and backed off to get behind the vehicle.

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I was really impressed by this because I thought that the car would absolutely try to make the pass, only to get in front of the other car, and then slow back down to 75 MPH:

Full Self-Driving Notices Veering Tractor Trailer, Adjusts Lane Positioning

My two rules of the road are never cruise in the fast lane and never drive next to a tractor-trailer. This clip is a perfect example as to why.

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FSD v14.3.3 recognized this tractor-trailer attempting to change lanes while we were still next to it. The car shifted its lane positioning to the shoulder slightly to make room for the merging semi, executed the pass safely, and on we went.

I will admit this one made me a little nervous, but more so because of the 18-wheeler, and not because of the Tesla:

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Full Self-Driving Follows the Rules of Tunnel Travel

Many people who are not familiar with Full Self-Driving and its capabilities are pretty limited in what they know about the really simple things it does well. Part of supervising FSD is being aware of things it might make mistakes with, and anticipating maneuvers it might want to make at the wrong time.

Entering the Blue Mountain Tunnel on the Turnpike, I was ready for FSD to attempt to get back into the right lane after making a pass on a tractor-trailer, but I was pleasantly surprised. Several signs outside the tunnel advise drivers to stay in the lane they’ve chosen while driving through the tunnel; this eliminates the possibility of an accident caused by lane changes, which would impede traffic on a crucial logistics route.

I was happy to see that Tesla Full Self-Driving v14.3.3 did not make this mistake:

Full Self-Driving Navigates Toll Plazas with Ease

I was interested to see how FSD would handle toll plazas, including the speed at which it would travel through them, and whether it would stop on the Turnpike at these booths, which have since been transitioned to a “Toll by Plate” system, which mails you a bill.

It was flawless:

Full Self-Driving Still Struggles with Parking from Time to Time

Since I took delivery in late August, I’ve never had a single instance of my Tesla struggling to park at a Supercharger. Other spots at the mall, market, or gym are another story.

This was the first time it did such a terrible job of backing into a spot. This required me to take over and manually park at another charger:

Full Self-Driving Gets Confused After Arriving at Its Destination

This was the first time I have ever experienced FSD getting confused and just circling the lot. The navigation continued to reroute to try to resolve the issue, but after four laps, I decided it was time to overtake the car’s controls and park manually:

This was a baffling behavior that I truly couldn’t explain. Other owners communicated that they have also experienced this issue.

Final Thoughts

I am so incredibly impressed by FSD that it has really made traveling stress-free. The two issues related to parking were not ideal, but to be fair, I usually take over when arriving at parking lots. However, this shortcoming is something Tesla has to make some serious progress with, because parking has truly stumped FSD at times.

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Solving that will be a major breakthrough for autonomy, but Tesla has struggled with it for some time.

All in all, FSD v14.3.3 is unbelievably accurate and handles many of the more stressful maneuvers with ease, one of them being avoiding merging traffic on highways, which was shown above.

Some things that would be great to see improvements on are parking, Speed Profiles, which are relatively tough to adjust (I stayed in Standard for the duration of this drive), and, of course, navigation.

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