News
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 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
