The Porsche Taycan is an uncompromising electric sports sedan. Built on a platform designed specifically for EVs and tapping into electric motor tech that powered past flagship vehicles like the 918 Spyder, the Taycan represents the best of what Porsche can offer today, in an unapologetically electric package.
It is then unsurprising to see that with the Taycan’s arrival, the long-debunked narrative of the “Tesla Killer” was reborn. American online auto information resource Edmunds, for one, proudly declared in a tweet that after experiencing the Taycan that its team “got out with a singular thought: This is a Tesla Killer.” The company then proceeded to state that the Taycan has a “driving ability that no Tesla can match,” especially considering that its track-capable and its optimal 0-60 mph launches could be repeated “endlessly.”
While statements such as these foster both healthy and unhealthy debates among the EV and auto community, it is pertinent to highlight the simple fact that the Taycan is NOT a “Tesla Killer.” Instead, it could very well be the first genuine attempt from an experienced premium automaker to design and release an electric vehicle that is, in more ways than one, a potential “killer” of the internal combustion engine. This makes the Taycan the strongest vehicle yet that could accompany Tesla in Elon Musk’s overall plan to transition the transportation sector away from fossil fuels.
The Taycan, particularly the Turbo S variant, is an honest-to-goodness driver’s car. The German automaker made it clear that when it was designing the vehicle, it made sure that the “soul” that is so valued among the traditional car community is present in the electric four-door sedan. This is evident in the way the company tuned the driving dynamics of the car, which was tuned in the Nurburgring. The Taycan is just like any other Porsche: it’s the type of car that you take up to the mountains on a weekend drive. It just happens to be electric.
During its Annual Press Conference earlier this year, Porsche emphasized how the Taycan is the start of its own transition to a full embrace of electric mobility. The company’s executives acknowledged that more electric vehicles are coming, and it is transitioning its fleet as much as possible to do so. Porsche is serious enough in this initiative that it quite literally changed the face of its historic Zuffenhausen factory to make way for the Taycan and its other upcoming electric cars.
Perhaps what really makes the Taycan a compelling vehicle is the fact that unlike other EVs from veteran carmakers that have come before it, the four-door is not an exercise in compromise. It represents a real effort by an experienced automaker to release an EV that is superior to some of its own ICE-powered creations. A look at the vehicle’s specs shows that apart from its range, which is still far from Tesla’s level, the Taycan is a solid electric car. It could even be stated that with the Taycan’s arrival, it would be pretty silly to choose an equally-priced high-performance car with an internal combustion engine.
Elon Musk has always stated that Tesla’s mission is to accelerate the transition of the auto industry towards sustainability. The company has so far been able to accomplish this by introducing vehicles like the Model S and Model 3, both of which are simply better than the available competition. Yet Musk has also been honest about his belief that Tesla could not push the auto industry towards sustainability alone. It needs other automakers to join the fray by offering excellent electric vehicles that beat out gas cars in key metrics. The Taycan could very well be the first in this list.
Tesla has long been a polarizing company, and it will likely continue to be polarizing for years to come. Regardless of how successful the company gets, or how well vehicles like the Model 3 and Model S perform on the market, there will always be car buyers that will refuse to purchase one of its vehicles based on one reason or another. Accelerating the world’s transition to sustainability is a mass effort, and the auto industry would need a lot more vehicles like the Porsche Taycan to accomplish this.
Overall, could the Taycan potentially steal some customers from Tesla’s higher-priced vehicles like the 345-mile, ~$100,000 Model S Performance? Perhaps, if buyers are in the market for a ~$150,000 car that drives like a classic Porsche, and if they are more open to a high-performance EV with 279 miles of range (under the WLTP standard) and less interior space. But will the Taycan affect the Model 3 in any way? Absolutely not.
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
