News
Rivian is one of few pure EV makers that outsourced its electric motors
Pure electric vehicle companies have adopted numerous strategies to stand apart from the competition. Tesla makes a lot of its components in-house, including its vehicles’ electric motors. Even Lucid Motors, which is still ramping the Air’s production ramp, has been proudly highlighting that its electric motors, which were also developed in-house, are amazingly compact and efficient. Rivian, on the other hand, appears to have adopted a different strategy.
Information service provider IHS Markit took a look at several automakers’ motor sourcing strategies, especially amidst the emergence of the electric vehicle sector. As per the firm’s analysis, it appears that established electric vehicle makers such as Tesla seem to see electric drive units as vital to their efficiency and a potential source of competitive advantage. An example of this could be found in the Tesla Model S and Model X Plaid’s new electric motors, which feature carbon-sleeved rotors.

It was a technology that was developed and eventually produced in-house, and it does provide the Model S and Model X Plaid with notable advantages over their equally-priced rivals. Lucid is the same way, with the company taking special care in ensuring that its motors are as compact and efficient as possible. This is a strategy that is not shared by some veteran carmakers like General Motors, some of whom have opted to source their electric motors from Tier 1 suppliers like Bosch.
Rivian could be seen as an outlier of sorts in IHS Markit’s analysis. This was because the electric truck maker initially fully outsourced its electric drive units, allowing the company to accelerate its product launches. However, it should be noted that even Rivian is also developing its own electric motors, which means that the company will likely adopt an insourced strategy in the future as well, similar to rivals like Tesla and Lucid. IHS Markit, for its part, noted that insourcing would likely be more prevalent in the coming decade.
“We forecast a steady shift toward electric drive insourcing in the coming decade driven in part by the US OEMs. However, there will be many situations where outsourcing continues to make sense. For example, Rivian has initially fully outsourced its electric drive which helped accelerate its first product launch, while subsequently developing its own. BorgWarner’s recently announced acquisition of motor supplier Santroll shows Tier 1s still see significant volume growth in this space. Carmakers may never insource electric drives completely. As mature as the internal combustion engine is, that industry is 90% insourced, while 10% of engines are externally sourced,” IHS Markit noted.
Rivian may still be in the process of ramping its vehicle deliveries, but the company has already shown signs that it would be willing to adapt to the market. Just recently, and as nickel prices soared amidst the ongoing war in Ukraine, CEO RJ Scaringe stated during the company’s Q4 and Full Year 2021 earnings call that Rivian would be using nickel-free lithium-iron-phosphate (LFP) cells for its Amazon delivery vans. This is quite impressive on the company’s part, seeing as its Amazon delivery vans will likely account for a substantial portion of Rivian’s production output in the near future.
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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.