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Porsche starts preparing its Zuffenhausen site for the Taycan’s production ramp
Porsche is setting the stage for the ramp of one of its most important vehicles to date — the Taycan — the veteran carmaker’s first all-electric car. The Taycan is expected to start production sometime in 2019, and to ensure that its facilities are ready for the vehicle, projects are now underway in Porsche’s Zuffenhausen facility, which will house the manufacturing line for the electric sedan.
The pedigreed carmaker has decided to set up the Taycan’s production lines in Zuffenhausen, a site with a long, storied history. Several cars, among them the iconic Porsche 911, the 718 Boxster, and the 718 Cayman, are built on the same location. A press release from Porsche notes that for the Taycan’s upcoming ramp, the company is creating 1,500 jobs and investing €700 million (over $797 million) to augment and prepare its facilities.
Several aspects of Porsche’s projects in Zuffenhausen stand out, particularly a conveyor system that transports drive system components and painted e-car bodies from the paint shop to the assembly line. The conveyor system is impressive, standing at a height of twenty meters above a four-lane main road in Stuttgart, which divides the site in half.
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- Porsche’s upcoming Taycan production facilities in Zuffenhausen, Germany. (Photo: Porsche)
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- Porsche’s upcoming Taycan production facilities in Zuffenhausen, Germany. (Photo: Porsche)
Porsche’s upcoming Taycan production facilities in Zuffenhausen, Germany. (Photo: Porsche)
Porsche also notes that the assembly and logistics hall for the Taycan’s production will be its largest building complex in Zuffenhausen. The company describes the construction of the structure as a balancing act, considering that the facility must be completed while the production of the 911, Boxster, and Cayman are continuing their usual output. Reiner Luth, head planner for the factory project, compares the balancing act to a medical procedure.
“The heart of Porsche beats in Zuffenhausen. We’re basically doing open-heart surgery,” he said.
Porsche has also shared images of its paint shop, whose steel structure is self-supporting. The company notes that final work on the Taycan’s paint shop is already underway. The Taycan’s body shop, which will be the second-largest building in the Zuffenhausen facility, is also being developed. Pre-production bodies of the 911 and later, the Taycan, will be made on the building.
Just like its rival, Tesla, Porsche intends to make its Zuffenhausen as environmentally-friendly as possible. Jürgen King, head of central construction management for the site’s expansion, explains that the factory will eventually be a C02-neutral plant. King also notes that the pace of the project is so far the fastest-moving in Porsche’s history.
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- Porsche’s upcoming Taycan production facilities in Zuffenhausen, Germany. (Photo: Porsche)
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- Porsche’s upcoming Taycan production facilities in Zuffenhausen, Germany. (Photo: Porsche)
Porsche’s upcoming Taycan production facilities in Zuffenhausen, Germany. (Photo: Porsche)
“Given these framework conditions, what we have is not only the biggest but also the fastest-moving construction site in Porsche’s history. When we’re finished expanding the factory for the Taycan, Porsche will produce zero-emission cars in a CO2-neutral plant. And that is a well-rounded result,” he said.
Porsche notes that the demand for the Taycan has been very impressive so far. Last year, the legacy automaker opened pre-orders for the vehicle, and the reception has been so positive that Porsche is now increasing the initial production of the vehicle. As noted by Porsche CEO Olliver Blume, for one, the company has logged almost 3,000 Taycan reservations in Norway alone. That’s a country where Porsche sells about 600 vehicles per year on average.
While the Taycan is about to enter production, Porsche is yet to unveil the final design of the all-electric car’s release version. So far, Porsche employs several dozens of camouflaged prototypes for testing, as well as a working version of the Mission E sedan concept car to promote the vehicle. In the company’s promotional materials for the car, Porsche states that despite the lack of engine in the Taycan, the all-electric car will still have the ever-present “soul” found in all of its other vehicles.
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
