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Volkswagen, a rocky $50B EV bet, and the bid to chase Tesla’s software prowess
Among the old guard of the automotive industry, very few could hold a candle to Volkswagen, which has initiated a $50 billion bet on electric vehicles. The plan, it seemed, was aimed at ensuring that the veteran automaker could catch up to Tesla, a dedicated EV maker that has made a name for itself by releasing vehicles that receive over-the-air updates on a regular basis.
Yet as the first result of Volkswagen’s dedicated EV efforts, the ID.3, rolled off the assembly line, it became clear that releasing software-driven electric cars was not as simple as building the next iteration of the Golf. When the ID.3 was released, the vehicle was incomplete. It could drive, turn corners, and basically do anything that regular cars are expected to do. Software-wise, however, it was nowhere near done. Features that were promised were absent, and promised capabilities such as over-the-air updates were unavailable.
Even the ID.3’s heads-up display, a feature that is not present in rivals like the Model 3, didn’t function. Early users of the vehicle also reported hundreds of software bugs. By June last year, Volkswagen decided to delay the ID.3’s launch and sell the first batch of the cars without full software. The vehicles are expected to receive an update that would provide the ID.3 with its full feature set, but the initiative will require a service visit around February 2021.
As noted in a report from The Wall Street Journal, Volkswagen’s issues with the ID.3 were the result of the veteran automaker not being proficient in software. For years, industry analysts and leaders alike have suggested and peddled the “Tesla Killer” narrative, suggesting that once the big players of the auto industry get serious about electric vehicles, Elon Musk’s EV startup would be completely overrun. As it turned out, building electric cars was not as simple. Just because a company can produce good gas and diesel-powered cars does not mean that they can produce good EVs.
Karsten Michels, a senior engineer for Continental AG, one of the firms which Volkswagen tapped to develop the ID.3’s software, noted that the gravity of the task surrounding the development of custom vehicle software was underestimated. “Maybe we underestimated how much work is involved and how little we could actually rely on existing legacy software,” Michels said.
Peter Rawlinson, CEO of Lucid Motors, expressed his thoughts on the situation. “(Ever since Tesla launched its first car in 2008) there was this feeling that the really serious players are going to come. Now, the Germans have finally come, and they’re not as good as Tesla,” he remarked.
Volkswagen, for its part, seems to be taking the lessons it learned during the ID.3 rollout and is applying it for the release of the ID.4, a crossover SUV that could rival the Tesla Model Y. Herbert Diess, the Chairman of the Board of Management of Volkswagen Group and an executive who has struck a friendship of sorts with Tesla CEO Elon Musk, initiated efforts to overhaul the company’s software strategies. If successful, the ID.4, which will be produced in Europe, China, and the United States, would deliver on the promises set forth by the ID.3.
Ultimately, Volkswagen has learned a notable yet painful lesson during the ramp of the ID.3, the most notable of which is that software is something that legacy automakers still need to work on. Granted, software has been running in gas-powered cars for years, with average vehicles including dozens of parts with chips that are designed to perform specific tasks. EVs, however, require a different type of software, one that is more akin to those used by smartphones today. With electric cars, in-vehicle software becomes the heart of the vehicle, with updates becoming the equivalent of service visits in a gas-powered car. In-vehicle software today is never complete as well, as they must always be open to improvements.
Danny Shapiro, senior director of automotive at Nvidia, related his thoughts on the complexity of in-vehicle software. “The key here is taking this distributed system in the car, dozens if not hundreds of applications, and centralizing everything. This is very complex, especially with a car where the safety level is critical. You can’t just flip a switch and be a software company,” he noted.
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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
