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Rivian patent reveals R1T auxiliary battery that pushes range beyond 400 miles

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Rivian CEO RJ Scaringe previously mentioned that his electric truck company is developing an auxiliary battery that acts as a “digital jerry can” for its vehicles, allowing them to travel beyond their listed range. Thanks to a recently published patent application, more details on this auxiliary battery system are now available.

The patent, titled “Electric Vehicle With Modular Removable Auxiliary Battery With Integrated Cooling,” describes an external battery module that can be fitted to an electric vehicle, thereby providing it with additional range. This is especially important for Rivian’s trucks, since they are designed to go off-road. Thus, the company notes that there is a need for an “auxiliary battery system for an electric automotive vehicle to increase the range of the electric vehicle, and in particular, an auxiliary battery system that can be carried by the electric vehicle.”

 As could be seen in the patent application, the auxiliary battery system would be installed on the cargo area of a truck. In the case of the R1T pickup, for example, the battery module would be fitted on the truck’s bed. The entire module also includes latching mechanisms and connectors, which are designed for easy installation and removal. 

Illustrations depicting Rivian’s auxiliary battery system. (Photo: Rivian Automotive)

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Perhaps more impressively, Rivian’s design for its auxiliary battery utilizes the cooling systems of the vehicle itself. Upon installation of the battery unit, Rivian notes that the vehicle’s systems would perform necessary adjustments, ensuring that ride quality and driveability do not get compromised or unnecessarily changed. Rivian outlines this process in the following section:

“When outfitted with the auxiliary battery, the electric vehicle can detect the fact that the auxiliary battery is attached to (e.g., mounted in) the electric vehicle (e.g., in cargo bed) and automatically set one of multiple predetermined feature sets, e.g., that pertain to driving performance of the electric vehicle. Such feature sets may set, for example, certain suspension characteristics appropriate for the attachment of the auxiliary battery, such as, e.g., a setting for firmness of ride of the vehicle, braking performance/sensitivity, nominal suspension height, effective steering ratio, etc.”

It should be noted that the auxiliary battery module design outlined in Rivian’s recently-published patent appears to be optimized for the R1T pickup truck. Based on the illustrations provided by the company, the external battery seems to take up a substantial amount of space in the all-electric pickup’s bed. With this in mind, it remains to be seen how the company would design a similar battery solution for the R1S SUV, which does not have a bed like the R1T. Nevertheless, considering Rivian’s polished approach to its designs, it is quite exciting to see how the company would equip a seven-seater SUV with a range-extending battery module.

Illustrations depicting Rivian’s auxiliary battery system. (Photo: Rivian Automotive)

RJ Scaringe noted in a previous interview that one of the reasons behind Rivian’s extra large battery packs (offered at 105 kWh, 135 kWh, and 180 kWh configurations) is to ensure that drivers would have enough range for their adventure needs. This certainly appears to be the theme with Rivian’s vehicles, as could be seen in its top-tier variants’ range of 400 miles per charge. Coupled with an auxiliary battery system, the company’s trucks could very well close in or even exceed the 500-miles per charge mark.

Similar to other new automakers such as Tesla, Rivian’s first vehicles are made for the luxury niche, not the mass market. As noted by RJ Scaringe in an interview with Green Tech Media, Rivian’s target demographic are the people who are “spending $70,000 or $80,000 on a GMC Denali or a Chevy Suburban or a Land Rover Discovery or a fully loaded Ford F150.” For these potential customers, the company can tolerate no compromises, and in Scaringe’s words, “under-promise and over-deliver.” This is especially true with regards to the R1T and the R1S’ range.

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Rivian’s patent application for its auxiliary battery system could be accessed 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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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

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Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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