Rivian has revealed the delivery dates for its R1T pickup truck and R1S Sport Utility Vehicle.
Both of its all-electric vehicles will debut in Summer 2021, but the R1T truck will make its way to customers before the R1S SUV will.
Rivian announced that the R1T would begin deliveries in June 2021, meaning the company’s first all-electric vehicle is less than a year away from making its way to reservation holders.
Additionally, the R1S SUV will begin deliveries in August 2021, just two months after the truck starts arriving to customers.
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- Rivian R1T truck at the NY Auto Show 2019. | Image: Dacia J. Ferris/Teslarati
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- Rivian R1S SUV at New York Auto Show 2019. | Image: Dacia J. Ferris/Teslarati
The delivery dates were both announced in a press release from Rivian on July 24, where the company stated that its pilot production line is coming together at the company’s production plant in Normal, Illinois.
“This week at our plant in Normal, IL, the work of thousands of Rivian team members comes together as our pilot production line begins running,” the company’s press release said.
“This important milestone brings us another step closer to our full production launch. It also allows us to more precisely estimate delivery timing.”
In April, Rivian announced that its production lines would not begin manufacturing either of its planned vehicles until 2021 due to the COVID-19 pandemic. Evidently, that timeline is still accurate, judging by the company’s announcement of when deliveries would begin.
Moving forward, Rivian’s main priorities are to keep its team safe while it continues to develop its manufacturing facility. In the coming months, the company also plans to let reservation holders configure their R1T or R1S, and give updates on the charging infrastructure it plans to implement for its vehicles.
The R1T will compete with upcoming electric pickups like the Tesla Cybertruck, Ford F-150 EV, and the GMC Hummer EV. Rivian’s vehicles are geared toward adventurous, outdoor utility while maintaining impressive performance specifications.
Even though the R1T and R1S both have three feet of wading depth, their top of the line 185 kWh models have 400+ miles of range and a 0-60 MPH time of 3 seconds.
The 105 and 135 kWh variants of the R1T and R1S will boast 230+ and 300+ miles of range, respectively.
The R1T will start at $69,000, and the R1S begins at $72,500.
Rivian’s R1T has been on display for prospective owners at multiple “Open House” events across the United States. The electric automaker had plans to visit several new locations, but the dates were postponed due to the pandemic.
Currently, Rivian has several large-scale investors like Ford, Amazon, and Cox Automotive, who are pumping sizeable sums of money into the company’s projects. Rivian recently closed its first investment round of 2020, where it accumulated $2.5 billion in investments.
Most notably, the company’s partnership with e-commerce giant Amazon will have Rivian produce 100,000 electric delivery vans for the company’s push toward more sustainable package transport.
Rivian will have the distinct advantage of being the first EV manufacturer to deliver a fully electric pickup truck, beating Tesla to the market.
Jeff Bezos reveals Rivian’s plans to produce electric vans for Amazon
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.”
News
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
