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Tesla had “Faraday” as a backup name before buying “Tesla Motors” trademark for $75k
In a few informative tweets on Saturday evening, Tesla co-founder and CEO Elon Musk revealed some trivia about the company’s naming history: “Faraday” was the alternative name proposed for the electric vehicle manufacturer before “Tesla Motors” was purchased for $75,000. A man named Brad Siewert had filed for the mark in 1994 and maintained its registration until the sale to Musk’s company was made in 2004.
While Musk has expressed admiration for the body of work produced by the famed Serbian-American inventor who would usher in an era of AC induction motors, Nikola Tesla, Musk’s use of the name “Tesla” for an electric car company wasn’t immediately feasible. Due to trademark roadblocks in the US, Europe, and China, registering the simpler “Tesla” name was precluded thanks to ownership by others in those countries. Interestingly enough, however, Tesla Motors, Inc. changed its name to simply Tesla, Inc. in February of 2017.
Tesla history trivia: we didn’t actually come up with the Tesla Motors name. Bought trademark off Brad Siewert for $75k in late 2004. He’d originally filed for it in 1994. Our alternative name was Faraday, which was used by a competitor several years later. https://t.co/zPnrrVash1
— Elon Musk (@elonmusk) December 9, 2018
The trivia revelation was in response to a short clip from a recent 60 Minutes interview with the business magnate. An extended clip provided on CBS News also revealed that prior owner Siewert didn’t want to sell the trademark to the vehicle manufacturer, so Musk sent “the nicest guy in our company” to sit on the doorstep until he agreed to make the sale. Obviously, the charming fellow was convincing enough to be successful in his endeavor, although the price tag drove a tough bargain at the time.
It’s tough to imagine this name any differently now.

In the shorter video clip posted with Musk’s original tweet about the trademark purchase, he lightheartedly debated about the correct pronunciation of the electric vehicle company’s name with host Lesley Stahl. He seemed to prefer his “z” sound for Tesla’s “s”, and she preferred the softer “s” version. Other clips provided from the same interview were released previously, one notably airing Musk’s consideration of a GM factory purchase in response to that company’s recent announcement of closures.
Also revealed in subsequent tweets was Musk’s lack of enthusiasm for the TeslaMotors.com website domain, citing an arduous $11 million dollar process lasting over ten years to acquire Tesla.com. A quick search for “Tesla” in the US trademark database alone reveals hundreds of goods and services paying tribute to the scientific genius of Nikola Tesla. With the mark tied into so many products and services, the wonder isn’t why someone would hold onto the domain name, but rather why the specific domain was such an issue given the car company’s market presence. Perhaps, it was simply the principle of the matter.
Buying https://t.co/46TXqRrsdr took over a decade, $11M & amazing amount of effort. Didn’t like https://t.co/BsRfMrY9Gm even when we were only making 🚘.
— Elon Musk (@elonmusk) December 9, 2018
Tesla was founded in 2003 with the purpose of shifting the public’s perception of electric cars and kick-starting a revolution in clean energy vehicles. The Roadster, Tesla’s first vehicle unveiled in 2008, struggled with production demands and reliability, but it found enough popularity to move electric cars out of the “golf cart” status they’d been relegated to and provide the fledgling startup with the tools needed to take the next steps.
Today, the company boasts three other successful models with electric semi-trucks on the way and a 2nd generation Roadster scheduled to begin production in 2020. The original Roadster was famous aboard SpaceX’s Falcon Heavy demo launch with a spacesuit-outfitted “driver” named Starman in the front seat. That vehicle is currently floating over 200 million miles away from Earth.
Brad Siewert now owns the trademark for “Drone Delivery Butler” which was registered in 2017. Perhaps he’s on to something that will be worth another $75,000 once the concept catches on in about ten years, the approximate time Tesla Motors spent under his stewardship. Then again, the name of one of the most famous butlers in pop culture exists in the Iron Man story, a franchise that Musk has already claimed as the “real life” Tony Stark. Jarvis Neural Networks, anyone?
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Tesla crosses major Unsupervised Self-Driving milestone
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.
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Tesla Robotaxi will be a 24/7 service: here’s when
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.
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Tesla Full Self-Driving will now overtake manual driving to avoid disaster
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.