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Rivian backtracks price increase on all R1T, R1S preorders before March 1

(Credit: Rivian Stories/Rivian Automotive)

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Rivian said on Thursday morning that it would honor all preorder pricing on orders for its R1T and R1S all-electric vehicles placed on or before March 1. The decision comes just two days after Rivian placed a series of hefty price increases to its vehicles. The increases also affected those who had preordered but not finalized an order for one of Rivian’s vehicles, causing many to cancel their reservations for the all-electric R1T pickup or R1S SUV.

Earlier this week, Rivian announced it would increase the prices of the R1T and R1S by at least 17 percent. Rivian clarified that those in the “final steps of the transaction” would not be affected by the price increases.

UPDATE: Rivian launches new Dual Motor options for R1T and R1S, increases Quad Motor pricing

“You may have heard that Rivian’s vehicle and option pricing have increased as a result of price inflation of supplier components and raw materials across the world. Since you are in the final steps of completing your transaction, your Rivian preorder will not be affected by these adjustments,” Rivian wrote to one preorder holder, who shared the message with Teslarati.

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Those who had placed an order but had not finalized their trim and interior options, or accessories, were subjected to the price increases as well. Some notable EV influencers spoke out about the price increases.

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This morning, Rivian is revising the price increases, reverting anyone with a preorder as of March 1 to their original pricing.

CEO RJ Scaringe penned a letter that clarified any confusion regarding the price increases. Scaringe said:

“For anyone with a Rivian preorder as of the March 1 pricing announcement, your original configured price will be honored. If you canceled your preorder on or after March 1 and would like to reinstate it, we will restore your original configuration, pricing and delivery timing. Our team will be sending an email in the next few days with more details.”

Rivian announced the price increases late Tuesday, citing supply chain issues and inflation for the rise in costs. However, the company realizes it was a bad decision to place price increases on already-placed orders. Many Rivian pre-orderers contemplated whether the increase in price was justifiable, especially as their orders were already confirmed, just not finalized.

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Scaringe said Rivian could have communicated to its customers better. “We didn’t give you enough insight into what was driving these decisions,” he said in the letter. “The most important aspect of what we are building is our relationship with all of you. As we demonstrated earlier this week, trust is hard to build and easy to break. In speaking with many of you over the last two days, I fully realize and acknowledge how upset many of you felt. I have made a lot of mistakes since starting Rivian more than 12 years ago, but this one has been the most painful. I am truly sorry and committed to rebuilding your trust.”

Rivian also announced that it would offer a new Dual-Motor powertrain for both vehicles, along with a Standard Battery Pack option that can help alleviate costs for customers. “Regarding our updated pricing for future preorders, the introduction of our Dual-Motor configuration and Standard battery pack has been designed to enable us to maintain lower starting prices while adjusting the pricing of the Quad-Motor and larger battery packs to reflect rising costs.”

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.


Scaringe’s full letter is available below:

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“Hello Everyone,

Earlier this week, we announced pricing increases that broke the trust we have worked to build with you. Since originally setting our pricing structure, and most especially in recent months, a lot has changed. The costs of the components and materials that go into building our vehicles have risen considerably. Everything from semiconductors to sheet metal to seats has become more expensive and with this we have seen average new vehicle pricing across the U.S. rise more than 30% since 2018. Given our build lead up times, we need to plan production costs not only for today, but also for the future.

As we worked to update pricing to reflect these cost increases, we wrongly decided to make these changes apply to all future deliveries, including pre-existing configured preorders. We failed to appreciate how you viewed your configuration as price locked, and we wrongly assumed the announced Dual-Motor and Standard battery pack would provide configurations that would deliver price points similar to your original configuration. While this was the logic, it was wrong and we broke your trust in Rivian.

We also didn’t manage communications well. We didn’t give you enough insight into what was driving these decisions. The most important aspect of what we are building is our relationship with all of you. As we demonstrated earlier this week, trust is hard to build and easy to break. In speaking with many of you over the last two days, I fully realize and acknowledge how upset many of you felt. I have made a lot of mistakes since starting Rivian more than 12 years ago, but this one has been the most painful. I am truly sorry and committed to rebuilding your trust.

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One of the things we talk about a lot internally is that we will make mistakes – it’s part of building something complex. The key is to learn from them and address them when they are made. It is how we grow. We made a mistake in how we approached our pricing changes, and what is important now is that we fix it.

For anyone with a Rivian preorder as of the March 1 pricing announcement, your original configured price will be honored. If you canceled your preorder on or after March 1 and would like to reinstate it, we will restore your original configuration, pricing and delivery timing. Our team will be sending an email in the next few days with more details.

Regarding our updated pricing for future preorders, the introduction of our Dual-Motor configuration and Standard battery pack has been designed to enable us to maintain lower starting prices while adjusting the pricing of the Quad-Motor and larger battery packs to reflect rising costs. Building a durable business is core to the continued impact we can deliver as a company. We are focused on building a brand and products that will continue to scale to different vehicle sizes, use cases, price points and markets – this growth will only be possible with your support and continued feedback.

Thank you for the personal notes and discussions I had with so many of you. Your feedback makes us better.

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RJ”

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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The Boring Company just doubled its tunneling power in Nashville

The Boring Company’s Prufrock MB2 is commissioned and ready to mine beneath Nashville’s streets.

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The Boring Company’s second tunnel boring machine, Prufrock MB2, is officially ready to dig in Nashville. The company confirmed the news on X, posting: “Prufrock-MB2 is ready to mine in Nashville! MB2 commissioning is complete, including the brief 11 rpm rotation shown here. Will MB2 catch up to MB1, who had quite the head start? And Prufrock-MB3 ships in August!”

MB2 arrives with meaningful improvements over its predecessor. Lessons learned from the launch and operation of MB1 have already been applied to MB2 to improve efficiency and prepare the machine for launch.

Traditional tunnel boring machines operate in a stop-and-go cycle, digging roughly five feet, halt, erect precast concrete segments to line the tunnel wall, then resume. That repeated interruption is one of the main reasons conventional tunneling is slow and expensive. Prufrock is designed to install the tunnel liner simultaneously with mining, eliminating the need to stop every five feet. The machine also skips the need for excavated launch pits. Prufrock arrives on a truck, tilts down, and launches into the ground within 24 hours. And when the tunnel is complete, it emerges from the ground and drives to its next launch site on a trailer, eliminating the need for expensive cranes or pit excavation. The machine is also fully electric and runs with zero people in the tunnel during normal operations, controlled remotely from a surface operations center.

It won’t be long before we hear of another major update on The Boring Company’s Music City Loop project – a planned underground transit network beneath Nashville that would move passengers in electric vehicles through a series of tunnels at highway speeds, and bypassing surface traffic entirely. Nashville was selected in part because of its strong rock conditions that suits the Prufrock machines well, and relatively less regulatory hurdles.

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Progress has been steady on multiple fronts. All 37 permits and approvals required ahead of tunneling have been obtained, out of 45 total. Key wins include a fully executed TDOT tunnel permit authorizing 25 miles of tunnel, unanimous airport authority approval for a Nashville International Airport station, and the city’s first residential station agreement serving downtown tower residents.

With MB1 already tunneling, MB2 now commissioned, and MB3 shipping in August, Nashville is becoming something of a live proving ground for scaled tunnel boring. The broader ambition is not limited to one city. The Boring Company’s stated goal is to make underground transportation a practical alternative to surface roads across major metro areas. Nashville is one of many cities, including a successful Las Vegas tunnel system, where that idea is being put to the test at real speed.

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Tesla urges New Jersey owners to oppose new bill that could block Robotaxi

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Credit: Grok

Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.

The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.

According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.

Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.

The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.

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In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.

Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.

In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.

Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.

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Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.

This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.

As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.

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Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest

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Credit: TESLARATI

Turn-by-turn navigation is not new technology.

For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.

Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

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Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.

Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.

Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.

But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.

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This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.

More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.

It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?

Multiple Data Sources

First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.

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Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.

Persistent Learning

FSD seems to struggle with persistent learning from driver interventions.

Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.

This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.

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I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.

Reasoning, Scaling, and Intuition

Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.

Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.

Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.

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Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.

Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.

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