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Porsche Taycan isn’t supposed to be a Tesla. Stop it.
Our tryst was short but, truth be told, I, a very happy Tesla owner, haven’t stopped thinking about the Porsche Taycan ever since the day we shared something special together.
It was a day of passion, driven by irrational thinking. Under the guise of a regular four-door sedan whose interior was garbed in strategically placed dark strips of cloth – clearly aimed at hiding the wolf within – it was soon obvious that I was no match for this beast.
“Do you want another go?”
It was an emphatic “no” from me to Porsche’s Platform Director for the Taycan, Bernd Propfe, as I climbed out of a production-ready Turbo S mule, and made every attempt to fight back obvious signs of nausea mixed with an overdose of adrenaline-induced shakes. Having just experienced a series of 720-degree donuts, high-speed drifts, 0-60 mph blasts in 2.6 seconds, followed by what can only be described as multiple time attack sessions on Porsche’s 1.6-mile circuit in Atlanta, the last thing I needed was to hear anyone belabor the point of repeatable performance. I get it. My stomach gets it.
It’s now two weeks later, and the taste of my Salisbury steak that I forcibly held in from lunch that day is as familiar as Taycan’s curvy, sleek and slightly bulbous contours that Porsche birthed to the world.
The Porsche Taycan. (Photo: Sean Mitchell/Teslarati)
The Taycan checks all of the boxes for what an all-electric, high-performance sedan is expected to be. Acceleration on par with Tesla? Check. Over-the-air software updates (like Tesla)? Check. Brand prestige (like Tesla)? Check. And anything not like Tesla, we know solicits ten pages of dialogue from the online vigilante.
And that’s where the line should be drawn.
First, let’s clear the air by saying that I love everything Tesla has done for the automotive industry and beyond. As a three-time Tesla owner with Ludicrous as my daily driving mode, a Tesla solar customer, and the guy greasing the wheels here at Teslarati, I’d say I can be as much of a supporter of Elon Musk and Tesla as the most vocal fanboi. But let’s also take the blinders off, boys and girls, and take a look at the bigger picture.
Porsche Taycan unveiling in North America on September 4, 2019. (Photo: Sean Mitchell/Teslarati)
Porsche has just released arguably the most important car in its history. A legacy automaker, whose iconic 911 has seen over 50 years in production and over 1 million units produced. An automaker that’s willing to go out on a limb and invest billions into the development of its first all-electric high-performance sedan to compete in a market that Tesla unequivocably dominates in. Unwavering to shareholder pressures to minimize disruption to the company’s biggest conventionally powered moneymakers, Porsche has remained focus on building products to support an electric future – a risk that many other automakers aren’t willing to take yet.
This should be celebrated. Porsche Taycan should be celebrated. The extension of Tesla’s electric roadway by another automaker should be celebrated.
After all, isn’t Tesla’s mission to accelerate the world’s transition to sustainable energy? I bet Tesla CEO Elon Musk himself would much rather see the Taycan in the market than not. It was he who once noted, “It’s a good thing,” referring to BMW’s entry into the market with the i3, “They need to bring it to market and keep iterating and improving and make better and better electric cars, and that’s what’s going to result in humanity achieving a sustainable transport future. I wish it was growing faster than it is.”
My early days with the BMW i3 and Tesla Model S (Photo cred: Gene/Teslarati)
Still, the community is quick to point out the Taycan’s slower 0-60 mph time of 2.6 seconds versus Tesla Model S Performance’s 2.4 second time. Combined with the Taycan’s much higher price point that rivals that of some home mortgages, its lesser 280-mile WLTP-rated range versus Tesla’s 345-mile EPA-rated range, and it becomes instant social media fodder for a highlight-reel knockout that derails the entire mission.
But here’s the thing, Porsche never set out to build an affordable EV, as fellow Tesla owner and long-time EVangelist Dennis Pascual reminds us. That’s not their audience. And their audience may not realize the immense value of having up to 370-miles of range like the Model S and access to a vast Supercharger network. For many, it will be their second or third Porsche but first foray into the world of EVs. Having a familiar gauge cluster, albeit in digital form, and driving experience that they’ve been accustomed to is where these owners will find solace with the Taycan.
Porsche’s target buyer also isn’t one that balks at the idea of engaging regenerative braking through a traditional two-pedal driving style. In fact, it’s embraced. With massive 10-piston calipers up front and track-ready ceramic brakes ready to bite, there’s no mistaking the Taycan to be anything less than a driver’s car with Nürburgring roots.
Porsche Taycan Car Configurator Options. (Credit: Porsche)
Configuring a Taycan online, as I found out, was a strength-training exercise for decision paralysis. Everything can be customized.
Must have personalized door sill guards? Porsche has that for you. What material? Black or aluminum? Great. Now, would you like that illuminated? No problem! By the way, did you mean standard aluminum or brushed aluminum?
Tesla’s configuration philosophy: do you want Black interior or Black and White interior? Done.
Porsche’s seemingly endless assortment of options is every bit appreciated and expected by luxury car buyers, as it is daunting for the average Tesla consumer who’s accustomed to simplicity.
My particular Taycan Turbo S build started from a base $180k and quickly skyrocketed to over $240k after tacking on $60k in options. At nearly a quarter-million dollars, we’re in exotic car territory.
Porsche isn’t appealing to the same audience as Tesla. Different strokes for different folks.
The bottom line? The Porsche Taycan isn’t supposed to be a Tesla. And that’s a great thing.
If someone wants to spend their money on this #EV instead of an ICE… I'm cool with it… Still supports the mission of Tesla and of all #rEVolutionaries to get folks into an #EV let's not get into a circular firing squad against EVs, not everyone wants a Tesla
— Dennis Pascual (@dennis_p) September 5, 2019
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
