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Rivian delays deliveries of R1T until September, R1S ‘shortly thereafter’

Credit: Rivian

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Rivian has delayed the initial deliveries of its first-ever electric car, the R1T pickup truck, from July until September, an email from CEO RJ Scaringe to reservation holders says.

In an email to Rivian reservation holders from Scaringe, the CEO indicates that “cascading impacts of the pandemic have had a compounding effect greater than anyone anticipated.” Scaringe explained that the impacts had affected everything from the construction of its Normal, Illinois, facility to the widespread semiconductor shortage.

“Everything from facility construction to equipment installation, to vehicle component supply (especially semiconductors) has been impacted by the pandemic. Beyond these unforeseen challenges, launching three new vehicles while setting up a multi-vehicle manufacturing plant is a complex orchestra of coordinated and interlinked activities where small issues can translate into ramp delays.” Scaringe wrote in the email.

Rivian R1T size, specifications and dimensions in detail

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Additionally, the Rivian CEO indicated that R1T deliveries have been pushed back to September. R1S SUV deliveries will begin “shortly thereafter,” the email says.

“We know you can’t wait to get behind the wheel of your vehicle. Earlier this summer, we announced that deliveries would begin in July; however, the timing for the first deliveries of the R1T has shifted to September, with the R1S shortly thereafter in the fall. I wanted to be sure you heard this from me directly.”

As of now, Rivian has two operating production lines at the Illinois production plant: one for the R1T and R1S and another for the commercial vans it is producing for companies like Amazon.

“Our plant in Normal, IL has two separate production lines currently producing vehicles, one for the R1 vehicles (initially R1T and R1S) and one for our commercial vans. We have now built hundreds of vehicles as part of our validation process, with many of those spotted out in the wild covered in unique vinyl wraps,” Scaringe added. According to the email, some reservation holders have asked why these vehicles aren’t being delivered. Scaringe says that the company’s long-term success and consumer satisfaction depend on quality and robustness. These vehicles are made for testing and not for owners to have, as Rivian could still be making minor adjustments to its first vehicles.

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Rivian has been working toward initial deliveries for some time. Last year, the entire operation of manufacturing the first production builds of its vehicles was delayed by the COVID-19 pandemic. With the delivery date for some reservation holders set for July, owners will have to wait a few more months for Rivian to iron out the final touches of its vehicles. The semiconductor shortage has affected many manufacturers, and it is something that comes at the worst time as Rivian is forced to push back deliveries until September at the earliest.

The full email is available below.

Hello – 

I am writing this letter from our Normal, IL manufacturing plant where our teams are working around the clock to ramp production of our R1T, R1S and commercial vans. It is amazing to see the plant come to life through the work of so many passionate team members. As I’ve watched our team grow to more than 7,000 people, I’ve also witnessed the excitement from our supporters stretch even greater. Whether you were among our first reservation holders or you’re new to the community, thank you for putting your trust in us and showing so much enthusiasm for our products. We know you can’t wait to get behind the wheel of your vehicle. Earlier this summer, we announced that deliveries would begin in July; however, the timing for the first deliveries of the R1T has shifted to September, with the R1S shortly thereafter in the fall. I wanted to be sure you heard this from me directly. There are many reasons why our production ramp is taking longer than expected. The cascading impacts of the pandemic have had a compounding effect greater than anyone anticipated. Everything from facility construction, to equipment installation, to vehicle component supply (especially semiconductors) has been impacted by the pandemic. Beyond these unforeseen challenges, launching three new vehicles while setting up a multi-vehicle manufacturing plant is a complex orchestra of coordinated and interlinked activities where small issues can translate into ramp delays. Our plant in Normal, IL has two separate production lines currently producing vehicles, one for the R1 vehicles (initially R1T and R1S) and one for our commercial vans. We have now built hundreds of vehicles as part of our validation process, with many of those spotted out in the wild covered in unique vinyl wraps. I have been asked why we aren’t delivering those vehicles or why we continue to test rather than deliver. We believe it is critical to both our long-term success and your ultimate satisfaction that the quality and robustness of our launch products truly sets the tone for what to expect from us as a brand. I have spoken with a number of you and know we need to do a better job at communicating specifics around deliveries. Our Guides will continue reaching out to schedule deliveries and will be there for any questions throughout the process. We are also preparing for a multi-city, multi-format drive program set to roll out in September. You’ll start to see Rivian charging sites and service centers being built in your local communities; and as we head into the end of the year, you’ll also start to see events, programs and spaces where we’ll be able to bring our Rivian community together.  Lastly, I have spent a lot of time in the R1T and R1S in just about every conceivable environment, and I am excited for you to experience the combination of refinement, capability and performance – it will be worth the wait! You’ll be hearing more from us over the coming weeks with additional updates and progress. Thanks again for your support and being on this adventure with us.

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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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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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Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK

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A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”

Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:

“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”

The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.

The Greater Manchester Police Department then added:

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“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”

The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.

Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.

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