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Tesla destroys German critic’s electric car prejudice after Model 3 test drive
German automotive veteran Nando Sommerfeldt has not had good experiences with electric cars. At one time, the electric vehicles he was testing ended up running out of charge, making him stranded in the middle of a trip. Other vehicles proved too slow to charge, testing his family’s patience. Sommerfeldt has reservations about electric cars, even a prejudice, if you may, but it only lasted until he drove a Tesla Model 3.
The Silicon Valley-based electric car maker sent a bold message to the auto veteran, offering to change his mind about electric cars. “We would like to convince you otherwise. Our impression is that you simply have not tested the ‘right electric cars’ yet,” Tesla wrote. That’s a bold statement, and Sommerfeldt opted to take the offer. Tesla provided the EV critic with a Model 3 Performance, one of its latest vehicles that currently sells for 69,000 euros in Germany.
Being “spoiled” by vehicles from premium manufacturers such as Mercedes-Benz and BMW, Sommerfeldt was largely unimpressed with the build quality of the Model 3. In his review, which was published at German publication Welt.de, Sommerfeldt complained about the panel gaps in the car, and he argued that while the white seats of the Model 3 were good, they do not compare favorably to the seats of the Audi e-tron. “The workmanship of body, interior, actually everything, is not up to premium standards,” he wrote. Nevertheless, with his evaluation of the vehicle’s build quality out of the way, the EV critic started driving the electric sedan.
It took 50 kilometers (31 miles) before his prejudices against electric cars started to fade. Even with the electric revolution underway today, there is still a persistent belief that EVs don’t drive as well as the best gas-powered vehicles on the market. “What nonsense. The Model 3 drives terrific,” Sommerfeldt declared. German industry expert Ferdinand Dudenhöffer from Center Automotive Research (CAR) highlighted Sommerfeldt’s observations. “The car is much better than all models of electric competition. The technical lead is easily four to five years. Range and driving pleasure are unmatched,” he said.
Elaborating on his experience, Sommerfeldt noted that the Model 3 feels like a sports car, an “extremely fast sports car.” This is quite notable considering that the vehicle is a family car at its core. But it’s not just the vehicle’s driving dynamics that impressed the EV critic. In terms of bleeding-edge technology inside the car, the Model 3 does not disappoint either. Industry expert Stefan Bratzel of the Center of Automotive Management (CAM) noted that the migration of car buyers from traditional vehicles to electric cars like Tesla is due to veterans being unable to offer similar innovations. “The future is offered here (at Tesla), which the Germans have not been able to do so far,” Bratzel said.
Beyond the excellent driving dynamics and the technology in the Model 3, perhaps what really removed the EV critic’s prejudice against electric cars was Tesla’s Supercharger Network. During his time with the vehicle, Sommerfeldt took his family out on a road trip once more, and this time around, they did not have to wait for hours on end for their vehicle to charge. Using one of Tesla’s Superchargers, Sommerfeldt and his family opted for a quick coffee and ice cream break, and by the time they returned to the Model 3, it had already gained 300 km (186 miles) of additional range. Sommerfeldt found the Supercharger Network’s design well-placed for long trips, and the Tesla community as a whole pleasant to interact with.
Dudenhöffer noted that among electric car makers, Tesla is the one that really thought about the big picture when they released their vehicles. Teslas, while not capable of charging at speeds similar to a gas-powered car yet, can charge at their owner’s homes (allowing drivers to leave with a “full tank” every day), and the company has backups in place if the Supercharger Network is unevailable. “Right from the beginning, the company had a clear plan of where its customers’ traffic flows. The Tesla owner can also refuel at all the other pillars of this country. But first of all, it would probably be too slow for him. And second, he does not need them,” he said. This is a particularly notable point for Sommerfeldt, as he admits to having deep range anxiety issues due to his past experiences with EVs. These issues, he found, were nonexistent with the Model 3.
With range anxiety gone thanks to the Supercharger Network and its contingencies, Sommerfeldt noted that Tesla drivers could trust their vehicles once more. And that, for Germany’s car buying public, at least, is a very big deal. “This Tesla destroys all my prejudices against the electric car,” he wrote.
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
