News
Rivian’s Amazon EV delivery van will drop packages in 100 cities by end of 2022
Amazon announced this morning that its Rivian Electric Delivery Vans (EDVs) will make deliveries in over 100 cities across the United States by the end of the year. Rivian plans to have EDVs operational in 100,000 U.S. cities by 2030.
Amazon and Rivian have collaborated on sustainable electric delivery vehicles since 2019, with pilot deliveries occurring over the past year. The pilot program accumulated over 90,000 miles of real-world testing and resulted in 430,000 package deliveries.
Rivian’s electric Amazon Delivery Van starts deliveries in San Francisco as testing continues
Finally, deliveries in production models of the Rivian EDV are set to expand to over 100 cities in the U.S. by the end of the year, including Baltimore, Chicago, Dallas, Kansas City, Nashville, Phoenix, San Diego, Seattle, and St. Louis, among other cities,” the e-commerce giant said. “This rollout is just the beginning of what is expected to be thousands of Amazon’s custom electric delivery vehicles in more than 100 cities by the end of this year—and 100,000 across the U.S. by 2030.”
Amazon ordered 100,000 Rivian EDVs in its initial order and has stood behind the EV startup in alignment with its Climate Pledge – a commitment to reach net-zero carbon across our operations by 2040. The Rivian vans, along with more sustainable packaging, helps Amazon decarbonize its last-mile logistics.
“Fighting the effects of climate change requires constant innovation and action, and Amazon is partnering with companies who share our passion for inventing new ways to minimize our impact on the environment. Rivian has been an excellent partner in that mission, and we’re excited to see our first custom electric delivery vehicles on the road,” Andy Jassy, CEO of Amazon, said. “Today marks a significant milestone in our Climate Pledge commitment. Rivian was one of the first companies Amazon invested in through the Climate Pledge Fund, and we’re just getting started on our journey to have 100,000 of Rivian’s vehicles on the road by 2030. And, in addition to being sustainable, these new vehicles are also great for drivers—they were designed with driver input and feedback along the way, and they’re among the safest and most comfortable delivery vehicles on the road today.”
Rivian builds its vehicles in Normal, Illinois. Along with the EDV, it builds the R1T, an all-electric truck, and R1S, an all-electric SUV.
“Today represents an important step, not just for Amazon and Rivian as partners, but also for transportation and the environment,” RJ Scaringe said, CEO of Rivian. “In 2019, Rivian and Amazon committed to fast-tracking a new type of delivery vehicle that would result in a significant reduction of carbon emissions. Thanks to our teams’ dedication, hard work and collaboration, and a shared commitment to make the world a better place for our kids’ kids, that vision is now being realized. To say this is an exciting moment is an understatement—we’re thrilled to see this partnership has kickstarted decarbonization projects across the logistics delivery industry.”
The Rivian EDV is also set to transition to an LFP battery pack as it fits commercial applications well and can be built at a cheaper cost. Along with that, our standard battery pack is leveraging LFP and LFP chemistry, and that chemistry not only allows us to offer that pack at a lower cost, but it really fits commercial applications well. And it’s first going to be launched in the commercial vehicle platform later this year, and then will make its way into our consumer vehicles by late 2023,” Scaringe said during the Q4 2021 Earnings Call.
Rivian hits EV Startup road bumps
Rivian has been a subject of normal EV startup road bumps in recent memory, becoming one of many companies to cut its employee headcount. Additionally, the company has struggled with margins and profitability early, which is expected. However, the automaker adjusted its 2022 production guidance earlier this year from 40,000 units to just 25,000. Rivian reaffirmed its commitment to this goal earlier in July.
The company’s financial situation is currently similar to what Tesla faced early in its production phases. CEO Elon Musk recently advised the company to cut costs in any way possible or it could face potential closure.
“That affordability threshold is very important,” Musk said in June. “It must both be a good value for money and be affordable in order to achieve good unit volumes. And where car companies can get, kind of, painted into a corner of doom is: If the cost of a car is so high that they have to raise the price of the car to the point where the price of the car is…and Rivian, I think, has this problem, you know, they’re going to need to fix it, or they’re in deep trouble…they raise the price to the point where only a very small number of people can afford the car, no matter how desirable it is. Then, at that point, if you cannot achieve a unit volume that covers your fixed costs, you’re screwed.”
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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
