News
Rivian is prioritizing its Amazon delivery vans over R1T production: report
The production and impending deliveries of the Rivian R1T may be catching most of the electric vehicle community’s attention these days, but it appears that the truck maker may actually have a different priority in the near term. As per a recent report, Rivian is prioritizing the production of Amazon’s electric delivery van rather than the R1T pickup and the R1S SUV.
A Bloomberg report noted that Rivian CEO RJ Scaringe has decided to focus Rivian’s production capabilities on its Amazon delivery van project, citing people familiar with the matter. The publication’s sources claimed that the CEO is looking to build about 300 Electric Delivery Vans (“EDV”) by the end of this year, with the first 10,000 units due by the end of 2022. The entire 100,000 order is expected by the end of the decade. In comparison, R1T production is anticipated to run “at a trickle,” at least in the near term.
Prioritizing Amazon delivery van production seems to be a strategic decision for Rivian. After all, having Amazon as a customer is a notable advantage in the electric vehicle sector. Without its Amazon delivery vans, sources reportedly familiar with Rivian’s finances have told Bloomberg that it would be extremely challenging to hit the company’s target valuation of $80 billion when it goes for its initial public offering.
Rivian’s recent S-1 filing with the US Securities and Exchange Commission all but highlighted the close relationship between the electric vehicle company and the e-commerce giant. As per the filing, Amazon will have exclusive rights to Rivian’s Electric Delivery Vans for four years following the delivery of the first van. Amazon gets the right of first refusal to purchase the vans for two years after that point.
“Under the EDV Agreement, we and Logistics have agreed to collaborate to design, develop, manufacture, and supply EDVs and/or certain component parts and related services for use in Amazon’s last mile delivery operations. We also have agreed under the EDV Agreement that until the fourth anniversary of when Logistics first receives EDVs (the “Initial Delivery Date”), whether or not Logistics purchases any EDVs from us, we will exclusively provide last mile delivery vehicles to Amazon, and from the fourth anniversary to the sixth anniversary of the Initial Delivery Date, Amazon will have a right of first refusal to purchase last mile delivery vehicles that we produce,” the S-1 filing noted.
Rivian’s focus on the Amazon delivery van does not come without risks for the electric truck maker. In a statement to the publication, Ross Gale, a New Jersey-based car collector and business owner, noted that the Launch Green Rivian R1T he ordered last November is an exciting vehicle. However, the communication from the company so far has been quite lacking. “I 100% believe in the product, having never seen one, having never touched one. But I am annoyed with the failure to meet promises. I mean, just be honest. Tell us what you’re doing,” Gale said.
So far, Rivian has reportedly received refundable deposits for 48,390 R1T and R1S vehicles. This is a relatively conservative number, at least when compared to the Ford F-150 Lightning, which has received over 150,000 non-binding reservations to date. Unofficial trackers for Tesla Cybertruck orders currently estimate over a million pre-orders for the upcoming vehicle. However, the Rivian R1T and R1S are both premium trucks, which means that they are targeting a different demographic than the F-150 Lightning or the Cybertruck. RJ Scaringe is looking to create the Patagonia of trucks with Rivian, and for such a goal, 48,390 R1T and R1S reservations is not bad to start at all.
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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
