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Porsche discontinues entire diesel lineup in favor of clean-energy cars like the Taycan
Porsche has announced that it would be fully discontinuing its lineup of diesel-powered vehicles. The veteran automaker noted that its decision is fueled by its commitment to the upcoming electrification of its fleet, which the company expects to achieve by 2025.
The company’s announcement comes roughly five months after a senior manager at Porsche in Germany was arrested due to involvement in parent company Volkswagen’s high-profile Dieselgate scandal. Dieselgate, which emerged in 2015, involved Volkswagen’s practice of modifying the diesel engines of some of its cars to cheat laboratory emissions tests. Amidst the fallout from the scandal, Volkswagen had to pay billions of dollars worth of buybacks and repairs. The company was also required to initiate clean-energy campaigns to make up for the environmental damage its modified diesel-powered vehicles caused.
Porsche, for its part, has taken the clean-energy initiative seriously. In 2015, Porsche unveiled its Mission E sedan concept, a vehicle that is now dubbed as the Taycan. Just like the Tesla Model S, the Taycan is built and designed to be an all-electric car through and through, and it is expected to be competitive in the premium EV industry when it enters the market next year. Other variants of the Mission E line, such as the off-road-optimized Mission E Cross Turismo, have been unveiled earlier this year as well.
Ultimately, the company’s abandonment of its diesel line is not out of character for Porsche. The company, after all, has steadily been moving away from diesel propulsion since 2015. The last Porsche model that is powered by diesel, for example, was offered in the United States back in November 2015. Last year, only 12% of Porsche’s global sales came from its diesel fleet. That said, Oliver Blume, chief executive of Porsche did note in a statement to CNN Money that the company is not in any way “demonizing diesel.”
“It is, and will remain, an important propulsion technology. We as a sports car manufacturer, however, for whom diesel has always played a secondary role, have come to the conclusion that we would like our future to be diesel-free,” he said.
By 2025, Porsche plans to transition half of its offerings to either hybrid or all-electric systems. Porsche has selected the Taycan to be its flag-bearer as it takes its first steps towards electrification, and over the past months, sightings of the Taycan’s test mules conducting real-world testing in several countries suggest that Porsche is heavily refining the vehicle before its release. The Taycan’s platform is also expected to be used in the Audi Sport E-tron GT, a concept vehicle set for debut this coming November at the 2018 Los Angeles Auto Show.
Porsche notes that the Taycan will feature its 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. Pre-orders for the Taycan have been opened to interested buyers in selected regions, and so far, Porsche has noted that the reception to the car has been very positive.
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.