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What cars did Elon Musk drive before Tesla?
Musk’s first car was a 1978 BMW 320i that he bought in 1994 for $1,400. It was a fixer upper according to the now Tesla CEO which he drove for two years. One day, he loaned it to a colleague who phoned a short time later to say one of the wheels had literally fallen off the car, leaving a deep gouge in the pavement. Musk junked the car.
The next car would be a 1967 Series I Jaguar XK-E inspired by a book on exotic cars which he received as a present at 17 years of age. The Jaguar caught his eye and he promised himself that one day he would buy one as soon as he could afford to. He and his brother Kimbal Musk had co-founded their first company called Zip2 at the time. When Musk received his first dividend check for $40,000 from the company, sure enough it went straight to buying a Jaguar. And why not? Enzo Ferrari once proclaimed the XX-E the most beautiful production car ever made.
“That one was like a bad girlfriend. It kept breaking down on me and causing me all sorts of trouble”, Musk once said.
Soon after, Elon would be catapulted to Silicon Valley stardom after cashing out of PayPal. What followed would be the purchase of the ultimate tech entrepreneur status symbol, the McLaren F1. “I had it for several years and I put 11,000 miles on it and I drove it from LA to San Francisco. I had it as a daily driver,” Musk said in a interview with Pando Daily.
He would ultimately total the McLaren one day while driving with serial investor Peter Thiel to go chat up Michael Moritz, a venture capitalist with Sequoia Capital. “Peter said ‘so what can this do’ and like probably number one on the list of famous last words I said ‘watch this.’ So I floored it and did a lane change on Sand Hill,” a road in Menlo Park. In a heartbeat, the car went up an embankment, landed on its roof and tore all four wheels off the car. The F1 was a total loss. To make matters worse, the million dollar F1 wasn’t insured.
Image credit: YouTube/Beijing Satellite TV via Business Insider
Following the purchases of a BMW M5 in 2007 and a Porsche 911 in 2012, the Tesla CEO would also buy the famous Lotus Esprit S1 used in the movie The Spy Who Loved Me. This would become the inspiration to Tesla’s James Bond easter egg found in the Model S and Model X.
Musk bought the movie prop in 2013 at an auction in London for $886,000. “It was amazing as a little kid in South Africa to watch James Bond in ‘The Spy Who Loved Me’ drive his Lotus Esprit off a pier, press a button and have it transform into a submarine underwater,” he told the Huffington Post.
“I was disappointed to learn that it can’t actually transform. What I’m going to do is upgrade it with a Tesla electric powertrain and try to make it transform for real,” he says. This would explain Elon’s tweet after a video surfaced showing a Model S driving through a flooded tunnel.
Image credit: AP/ Lefteris Pitarakis
However, the car that most directly influenced an actual Tesla automobile is the Audi Q7 SUV that Musk owns in present day. It was the inspiration for the falcon wing doors on the Model X. Musk says he wanted to make a car with doors that could open in tight spaces. He also wanted to be able to access the third row seats without folding the second row seats forward.
“The Audi Q7 is particularly horrendous,” he told Forbes during an interview in 2012. “Even in the best case scenario, you need to be a dwarf mountain climber to get into the back seat.”
Image credit: Audi
That makes a total of 7 cars Elon Musk has owned and every one of them has been performance oriented. Maybe that’s where the fascination with Teslas that can scoot to 60 mph in under 3 seconds comes from.
Source: Business Insider
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 launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
Tesla Robotaxi will be a 24/7 service: here’s when
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
