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Tesla’s next-gen Model Y from Giga Berlin aims to redefine ‘German engineering’
Tesla’s next-generation Model Y from Giga Berlin in Germany may redefine “German engineering.” A Tweet from CEO Elon Musk shows the company aims to improve build quality down to the micron, a unit of measurement that is equivalent to one-thousandth of a millimeter.
“German engineering” is a phrase that has been around for decades and commonly refers to the precision and accuracy that German products are known for. In the automotive industry’s history, German vehicles have highly been regarded as the most luxurious, highest quality cars that money can buy. In the early years of industry and engineering, Germany had the best machines and the most advanced processes for building basically anything, but cars were the specialty. Strict standards and an attitude that aimed toward perfection made German vehicles the cream of the crop in the automotive industry.
Tesla Gigafactory Berlin render (Credit: Tesla)
This theory still holds true in today’s industry in many ways. While other companies and other regions have highly effective processes for vehicle manufacturing, Germany still has a certain mystique about it. With brands like Mercedes-Benz, Audi, and BMW, three of the most luxurious brands in the automotive market today, German engineering still holds a high standard.
However, Tesla has plans to reinvent the wheel when speaking about the term “German engineering.” In the last 18-or-so months since Elon Musk announced that Tesla’s first European Gigafactory would be in Germany, many developments have hinted toward Giga Berlin being the most advanced and most sophisticated factory that Tesla has in its arsenal. From a new, world-class paint facility to some of the most accurate automated machinery on the planet, Tesla is pulling out all the stops to keep up with Germany’s best brands.
In a Tweet earlier today, Musk said that Tesla is aiming for “extreme precision” with the next-gen Model Y. The company will aim for microns of accuracy, not millimeters, as Tesla aims to continue refining its manufacturing processes to make some of the highest-quality vehicles on Earth.
Aiming for extreme precision with next gen Model Y – microns, not millimeters
— Elon Musk (@elonmusk) May 18, 2021
In the past, Tesla has been criticized for poor build quality with some of its vehicles. Some owners have highlighted panel gaps or paint quality issues with their vehicles, which has led to an overwhelming misconception that Tesla produces lackluster vehicles. The truth is that all vehicle manufacturers have issues with build quality from time to time. Things as simple as an increased production rate can affect the quality of a vehicle. Some, however, like automotive veteran Sandy Munro, have stated that Tesla’s build quality has improved significantly over the years. Munro went from highly critical of the Model 3 during a teardown several years ago to overwhelmingly impressed with the new builds of the car.
“This car has improved significantly,” Munro said. “The paint is great; it’s very impressive.”
The accuracy that Tesla is aiming for with the next-gen all-electric Model Y crossover is extremely precise. A micron is one-thousandth of a millimeter, so it’s a unit that is not necessarily visible to the human eye. If Tesla can refine its manufacturing lines in Berlin to reach this level, the definition of German engineering may once again be reconfigured to include Tesla’s near-perfect build quality.
What do you think? Let us know in the comments below, or feel free to reach out to me directly at @KlenderJoey on Twitter or through email at joey@teslarati.com.
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
