There is a storm brewing in Volkswagen’s Wolfsburg plant, and it can very well make or break the career of CEO Herbert Diess, a strong proponent for the company’s transition to electric mobility. As problems continue to pile up for Volkswagen’s electric car program, the ID.3, a vehicle considered to be a rival to the Tesla Model 3, is starting to turn into a cautionary tale.
An extensive report from German news outlet Manager Magazin provided an in-depth look at the current state of Volkswagen’s electric vehicle initiative. According to the esteemed magazine, experts and top managers from the automaker are now meeting every working day in a massive push to get the ID.3 ready for consumer deliveries. But despite their disciplined efforts, the affordable EV is proving stubborn, causing notable delays in its release.
The Volkswagen ID.3 is an essential car for the German automaker, being a personal project for Diess, who has emerged as one of the most prominent voices in the auto industry pushing for electrification. More than a vehicle that can potentially beat the Tesla Model 3 in terms of pricing, the ID.3 is also the automaker’s key in avoiding €10 billion worth of emissions fines this year. Without the ID.3, the penalties cannot be avoided. Even with the vehicle on the market, VW would have to sell about 100,000 in 2020 to meet the company’s CO2 targets.
But the Volkswagen ID.3 ramp has been rife with issues. While the vehicles can be produced efficiently using the company’s extensive experience in car manufacturing, the ID.3’s software has proven troublesome. Simply put, the software of the vehicle does not work as it should, and VW experts have pointed the finger at the company’s haste in rolling out the all-electric car for production. Volkswagen experts have noted that the ID.3’s underlying architecture was developed too hastily, as the car’s system parts often don’t understand each other, resulting in errors.
Thus, every day, those involved with the ID.3 project meet and try to solve the car’s underlying issues. Manager Magazin‘s sources note that Volkswagen is now operating at an almost military level in its efforts to fix the ID.3’s software issues, but still, hundreds of test drivers report new faults in the vehicle nearly every day. One of the magazine’s sources, who claimed to be present in these meetings, noted that up to 300 faults could be reported in one day.
Amidst these issues, Volkswagen has adjusted the ID.3’s target from 100,000 in 2020 to just 80,000. Fortunately for the German automaker, it is a big company, and it includes carmakers such as Audi and Porsche, both of whom have already released their respective electric cars. But even these two companies’ EVs are not exactly rolling out smoothly either. The e-tron recently halted its production due to battery constraints from LG Chem, prompting Audi to lower the premium SUV’s forecast from 70,000 to 40,000 this year. The Porsche Taycan, despite excellent reviews from car enthusiasts, is also getting its deliveries in Germany delayed.
Volkswagen CEO Herbert Diess has stated that the shift to electric mobility will be difficult, noting at a top management conference last month that the compliance with the limits for supplying, building, and selling battery electric vehicles was “perhaps the most difficult task Volkswagen has ever had to face.” Considering the ID.3 program’s progress so far, as well as reports that the Porsches and Piëchs, VW’s major owners, are growing restless, it appears that the company’s EV challenges may just be beginning.
Ultimately, the ID.3’s issues are an unfortunate roadblock to the EV movement as a whole. The vehicle, after all, is a mass-market car, and it has the potential to be the second coming of the ubiquitous Beetle. The company just has to get its software settled and refined first–something that a small carmaker from Silicon Valley seems to have predicted when it started developing its first vehicles less than two decades ago.
H/T to JPR007.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
