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Porsche CEO hints at Taycan’s increased initial production, electrified 911
Porsche appears to be set on expediting the electrification of its fleet, with CEO Olliver Blume recently noting that the company would be raising the numbers of the Taycan’s initial production due to strong demand for the vehicle. Apart from this, Blume also hinted at what could very well be the eventual release of an electrified Porsche 911.
Blume’s statements were related to weekly German business news publication WirtschaftsWoche during an interview. The CEO noted that in Norway, where Porsche usually expects to sell around 600 vehicles per year, the company had already accepted almost 3,000 reservations for its first all-electric car. With such a strong, positive reception for the vehicle, Porsche has opted to adjust the Taycan’s initial production run, which was originally set at 20,000 units per year.
“The annual production capacity is 20,000 vehicles. However, due to the positive response, we will adjust this number upwards, especially since the Cross Turismo as the first derivative of the Taycan got (the) green light for the series,” Blume said.
Earlier this year, the company announced that it is abandoning its diesel lineup, even declaring that it expects every second Porsche sold in 2025 to have an electric motor. Blume noted that the company’s electrification initiative would affect even the legacy carmaker’s classic offerings, including the iconic Porsche 911. The CEO remarked that the design of the newly-unveiled 911 is ready for electrification, and thus, a hybrid version of the vehicle would probably be released within the current iteration’s life cycle.
“The new 911 comes to the start as a gasoline engine. But it is already designed so that we can bring in a hybrid drive. Maybe in the course of its life cycle,” he said.
Apart from announcing the updates on the Taycan’s production and the 911’s likely electrification, Blume also expressed his skepticism of hydrogen-powered vehicles, such as those adopted by rivals Toyota and Mercedes-Benz. According to the CEO, battery-powered vehicles simply offer better value and performance over fuel-cell cars.
“The battery is in energy efficiency in operation three times better than hydrogen and six times better than synthetic fuels. If you include the energy-intensive production of batteries, they are still about twice as efficient as other types of drives. This applies both to the use in our two-door sports car as well as sporty sedans and our SUV,” he said.
Porsche is yet to unveil the final production design of the Taycan, though expectations are high that the release version of the electric vehicle would closely resemble the stunning Mission E sedan concept car that debuted at the 2015 Frankfurt Motor Show. Production of the Taycan is expected to begin sometime in 2019 at a facility located at Zuffenhausen, a suburb in Stuttgart, Germany — the same factory where the company manufactures the Porsche 911. The Mission E Cross Turismo, an off-road-capable version of the Taycan, is expected to begin production in 2020.
The Porsche Taycan will not have an engine, but the company notes that the vehicle will have the ever-present “soul” found in all of its cars. Expected to compete with the Tesla Model S, the Taycan is features the legacy carmaker’s trademark performance, with the vehicle being listed with a 0-60 mph time of 3.5 seconds, a range of 310 miles per charge, and a top speed of 155 mph.
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.