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Porsche’s production plans for Taycan and new 911 hint at serious electrification
In a recent interview, Porsche executive board member Albrecht Reimold hinted at the plans for the upcoming production ramp of the Taycan — the company’s first all-electric car. During the interview, the Porsche executive described how the Taycan’s production is closely related to the manufacturing of the 911, and how the company is getting one of its most iconic vehicles for electrification in the future.
Only a few of Porsche’s creations can hold a candle to the legendary 911, a premium sports car whose performance borders on the supercar level. Porsche is currently preparing its new 911, and Reimold has noted that plans are underway to prepare for the vehicle’s production. Coincidentally, the new 911 would be produced side-by-side with the upcoming Taycan. The Porsche executive further stated that the production of the two cars would have some similarities, to the point that the new 911 could actually be built in the Taycan’s manufacturing lines.
“There is some overlap of course; starting with the logistics processes, and we are also building a new paint shop that all models could be painted in. We have built lots of flexibility into production so that the 911 can also be produced in the Taycan assembly plant – though not vice versa,” he said.
During the interview, the Porsche executive was asked if the strategy for the 911 and Taycan production line was set as a precaution in case the electric car fails to succeed on the market. Reimold answered the question confidently, stating that all signs are pointing to the Taycan making a significant impact in the luxury car industry. The exec added that based on his own experience with the upcoming vehicle, he is quite optimistic about the Taycan’s chances on the market.
“Based on feedback from the market, the calculation of 20,000 Porsche Taycan models in the first year may be a rather conservative estimate. I’ve had the pleasure of driving the car myself, and I can only say it’s absolutely fantastic! Which is the response we’ve been hearing from all sides,” he said.
Perhaps the most notable statement in the interview with the Porsche executive is about the future of the 911 as the company embraces electrification. Porsche is among the veteran carmakers that has dedicated itself to pushing electrified transportation, announcing last year that it was retiring its diesel-powered lineup of vehicles in favor of all-electric or hybrid cars. In the case of the new 911, Reimold explained that while there are no plans for an electrified version of the iconic vehicle, the company is ready to implement a hybridization strategy for the sports car.
“(Hybridization) is still a rather minor one because customers expect the 911 to be what it is. But it’s not entirely out of mind. For example, we have designed the model to enable drivetrain electrification – hybridization in other words, so we would be ready to implement a change like that,” he said.
Reimold also noted that the 911 would always be an icon for the company, despite the all-electric Taycan dominating Porsche’s headlines today. Overall, if there is anything invoked by Porsche’s plans for the 911 and the Taycan’s production, it is that the carmaker is not shying away from electrification. Building one of its most important and historic vehicles alongside its first-ever all-electric car, after all, shows a notable commitment towards electrification.
The Porsche Taycan is expected to start production sometime later this year. The carmaker is yet to unveil the production version of the Taycan, though sightings of the company’s test mules hint at serious track performance.
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
