News
Tesla designs their electric vehicles from the ground up; BMW – not so much
One distinct competitive advantage often considered for Tesla is the company’s complete commitment to an electric vehicle future. Their cars don’t sacrifice anything in the design process — they’re built from the ground up to take advantage of a wholly unique electric vehicle architecture. And, according to Reuters, “Electric motors are smaller than petrol or diesel engines, so electric vehicles designed from scratch can benefit from better interior packaging which allows a bigger passenger space.”
It’s reported that, “There are two ways to make battery-driven vehicles: use a clean-sheet design like Tesla, or a traditional vehicle platform that can use all types of motor: combustion, electric or a hybrid of the two.” In contrast to Tesla, BMW’s vision for the future appears to be one that allows for an amalgam of vehicle technologies crammed into one design as opposed to committing, completely, to an electric vehicle architecture.
Above: A look back at why Tesla originally decided on a clean-sheet design approach in order to engineer an electric vehicle “from the ground up” (Youtube: Tesla)
BMW is, “betting they can mass produce new electric cars based on conventional vehicles.” Looking at their plans, “BMW is preparing to launch an all-electric version of its popular X3 off-roader by 2020, and… a new electric BMW, the i Vision Concept, [which] will use the same underpinnings as future versions of the BMW 3-Series. Electric and petrol versions will be built on the same production lines.”
According to BMW’s research and development chief Klaus Froehlich, “It is easy to build an electric car. It is difficult to earn money with it.” Reuters notes that clean-sheet design for electric vehicles does, indeed, require significant upfront investment as, “their unique design requires a dedicated production line and expensive new factories.” Therefore, BMW looks to be hedging its bets by relying on the same, antiquated production lines that pump out gas cars. And, they’re looking to pre-existing gas car architectures repurposed (and reborn) as electric cars.
On the one hand, “Froehlich said vehicle designs dedicated to only one powertrain were no longer required.” However, Carsten Breitfeld, a former electric vehicle engineer at BMW, disagrees. Breitfeld, who headed BMW’s i8 sportscar program, explains, “Trying to adapt a volume architecture to produce electric, diesel and plug-in hybrids is fundamentally flawed, because these products will be compromised.” Breitfeld points to Tesla’s clean-sheet design as the right approach: “Tesla was pathbreaking with its electric car, and that’s what everybody is seeking to develop now.”
This difference of opinion became a divisive issue, internally, at BMW. And, “Breitfeld is so convinced of this that he left his job at BMW in 2015, where he was part of a small team working on clean-sheet electric cars.” The team’s only clean-sheet EV design that made it to production was its i3. However, it turns out that BMW’s internal “i Division” team is now moving its focus away from electric cars altogether.
Does compromising EVs with gas car design characteristics epitomize a company clinging to the past? “Breitfeld sees the German carmakers’ answer to the expected surge in electric car demand – putting an electric motor in a conventional car – as a mistake. He believes it leaves the industry vulnerable to a ‘Nokia moment’: when a new player uses a transformational design to seize control of an established market, as Apple’s iPhone stole a march on Finnish mobile phone giant Nokia a decade ago.”
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Note: Article originally published on evannex.com, by Matt Pressman
*Source: Reuters
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
