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Tesla’s software and full self-driving infrastructure has Volkswagen ‘worried’
Volkswagen CEO Herbert Diess is worried about Tesla’s lead in self-driving and software.
In an internal Volkswagen e-mail that leaked this past weekend, Diess discussed Tesla’s impressive system for improving its vehicle’s self-driving capability. Diess seemed to admit that Tesla’s full self-driving infrastructure is far superior to any other mainstream automaker today.
Diess said:
“What worries me the most is the capabilities in the assistance systems. 500,000 Teslas function as a neural network that continuously collects data and provides the customer a new driving experience every 14 days with improved properties. No other automobile manufacturer can do that today.”
Diess also spoke about Tesla’s software, which is arguably the best in the market today. The CEO stated that Tesla’s system for updating vehicles and providing drivers with new experiences is “continuous.” Interestingly enough, software is something that Volkswagen is having difficulty with in its ID.3 electric cars.
The leak was obtained by German car magazine Automobilwoche on Saturday, April 25.
This is not the first time Volkswagen has admitted Tesla’s lead in the EV segment. Volkswagen has previously stated that Tesla holds a sizable lead in the electric transportation sector. In mid-March, Volkswagen board member Thomas Ulbrich said that the Silicon Valley-based electric carmaker held a ten-year lead in the industry. “Tesla is an impressive manufacturer. It is a motivator for us. Tesla has ten years more experience. But we are very quick in catching up,” Ulbrich said.
However, there is mutual respect between the two automakers. It is evident based on comments from both company’s CEOs.
Herbert Diess and Elon Musk have shown genuine respect for each other for a long time. Diess has always been very respectful to Musk, crediting him for bringing the electric vehicle infrastructure to the mainstream and providing consumers with an environmentally friendly option for transportation.
At the Golden Steering Wheel Awards in November 2019, Musk and Diess traded complements with each other. After the Tesla Model 3 took home an award at the event, Diess congratulated Musk and recognized his attempts to bring the world away from environmentally-harming transportation.
“First of all, I really wanted to congratulate you, great achievement, I know all of this competition here in Germany, this award, its a great achievement. We know each other; we don’t meet so often, though. I would say that we share a vision, which is that we only can achieve the CO2 targets and reduce carbon emissions through electric cars,” Diess said.
Volkswagen has a tainted past due to the Dieselgate scandal, which revealed that the German automaker was placing cheat devices in its vehicles to pass standard emissions testing. However, the company has made many attempts to clear its name, and Diess is undoubtedly a big part of that.
In the past, Volkswagen has outlined its $33 billion plan to begin a transition to electrification. The German automaker certainly seems to plan to put its emissions scandal in the past, and Diess maintains that Musk is a big reason for its decision to move toward more sustainable vehicles. “I thank you for pioneering, for pulling us, for pushing us. I think really Elon is the innovator, which is driving us along,” Diess said.
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.”
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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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
