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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 has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
