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Multiple Porsche Taycan prototypes rip through Nurburgring for track testing
German carmaker Porsche appears to be putting the pedal to the metal with regards to the Taycan’s track capabilities, with multiple pre-production prototypes recently being spotted on the Nurburgring. As could be seen in a video taken earlier this month, several of Taycan’s test mules were spotted taking on the iconic track’s turns and straights in true Porsche fashion.
The video, which was taken by auto enthusiast Automotive Mike, shows at least seven Taycan prototypes being track tested on the Nurburgring. Based on clips of the vehicles, particularly the way some prototypes accelerated after navigating a turn, Porsche seems to be refining and testing the track capabilities of the Taycan’s different variants. While all of the Taycan test mules featured impressive acceleration as they hugged the track very well, some of the prototypes seemed to have slight differences in terms of performance.
The prototype fitted with the LB EF 2925 plate, for one, seemingly featured electric motors that were a bit more audible than the other test mules, as seen in 0:31 in the video. The prototype with the LB EF 923 license plate, on the other hand, almost appeared like it was moving in a more deliberate manner (2:04 in the video). While these differences might simply be due to the varying driving styles of the Taycan prototypes’ drivers, the non-uniform behavior of the test mules could also correspond to the different, upcoming performance trims of Porsche’s first all-electric car.
Porsche, after all, has not announced the specific price of the vehicle, though the Taycan’s model-line director, Rober Meier, noted to Automotive News that the company is expecting a price “somewhere between a Cayenne and a Panamera.” This means that while the Taycan would likely start at $75,000 (considering that the Cayenne starts at $66,000 and the Panamera starts at $85,000), there will certainly be versions of the vehicle that feature more performance for a higher price.
The continuous track testing of the Taycan test mules in the Nurburgring shows Porsche’s dedication in releasing an electric car capable of extended high-speed driving. Earlier this year, Porsche VP of Product Line BEV Stefan Weckbach noted that the Taycan (dubbed the Mission E sedan at the time), would be a track-capable alternative to the Model S, which is impressive in straight line races but handicapped in closed circuits. Porsche also promoted the Taycan as a vehicle that would have a “soul,” just like the company’s other cars like the iconic 911.
Porsche has released the specs and features of the Taycan, with the legacy carmaker stating that the vehicle would be fitted with two permanently excited synchronous motors (PSM) that produce a combined 600 hp (440 kW), allowing the electric car to accelerate from 0-60 mph in 3.5 seconds and achieve a top speed of 155 mph. The vehicle is also equipped with an 800-volt battery, which gives the car 310 miles of range per charge. Porsche has further noted that one of the Taycan’s key features would be its charging speed, which could replenish 248.5 miles worth of range in roughly 15 minutes, thanks to a 350 kW charging system.
Pre-orders for the Taycan have been opened in the United States, and so far, Porsche has stated that the reception to the upcoming all-electric vehicle has been very positive. The Taycan is expected to enter production sometime in 2019.
Watch Automotive Mike‘s sighting of the Porsche Taycan prototypes in the video below.
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
