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Volkswagen boss Diess tells execs third-party software fix isn’t an option
Volkswagen boss Herbert Diess is adamant that the German car company must develop its electric vehicle software in-house. In a recent meeting with executives, Diess outlined Volkswagen’s core needs in the topic of software, indicating that it must be developed in-house and that sourcing effective and dependable software from a notable tech company simply isn’t an option if the company wants to remain independent.
“If we want to retain our independence,” Diess told his top managers in a recent meeting, “we have to be able to develop the software in the car ourselves. This is the only way for us to guarantee long-term success.”
Volkswagen’s EV project, which has been catalyzed by the introduction of the ID. family of vehicles has been a thorn in the side of the world’s leading car company since its introduction. While Volkswagen has made electric models before, they have not been on the company’s new MEB (Modular electric drive matrix) platform designed for electric cars. The platform requires a robustly accurate and scalable software program, something that Volkswagen has encountered several problems with early on in its electric offensive.
But the roadblocks and bottlenecks in Volkswagen’s software are not issues that Diess is willing to have someone else fix. He expects his competent software engineers and other team members to figure out the shortcomings on their own in an attempt to remain free of dependence on another company, whether it would be a tech company like Apple or a fellow electric automaker like Tesla. “We must not hand over data sovereignty, the customer interface, and ultimately the “brain” of the car to the big tech players.”
The software essentially acts as the brain of the car. To give owners a more pleasurable ownership experience, the software needs to be free of any discrepancies. The issues can cause things as small as voice recognition to go awry or things as large as software updates to be uninstallable, making a vehicle outdated and, in some cases, unusable. Volkswagen has had its fair share of issues with the MEB platform, but it claims that many of the difficulties it has encountered are solved. Additionally, it has promised owners that software updates will be ready to be downloaded to cars regularly beginning Summer 2021.
Volkswagen's software issues with the ID.3 are worse than reported: 'It is an absolute disaster'
With automakers big and small fighting to keep pace with Tesla, Diess understands the urgency of the project at hand. “This is by far the most important project for this Group in the next five, probably ten years,” he said, according to Business Insider. Automakers are being forced to adapt or be left behind as Tesla extends its lead in the sector, especially in software. While other car companies like Ford are releasing highly-competitive vehicles like the Mustang Mach-E, which has proven to be a notable adversary to the Tesla Model Y, the sector is only becoming more concentrated on what seems like a daily basis. With new companies coming around, focusing purely on electric powertrains, legacy automakers have almost dragged their feet through the proverbial mud, only delaying the inevitable: they will fall behind if they do not focus on electrification.
Volkswagen is arguably the most invested legacy automaker in the EV transition. Diess has been extremely vocal regarding VW’s transition to electric cars, recognizing that the market will only become more competitive, more robust, and more concentrated. A lead now could extend into several decades and make Volkswagen more desirable than other car companies who will confront these same issues in a few years.
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.”
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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
