Brandon Dalaly, a Tesla owner, has a unique way of unlocking his car: with his hand. Or rather, with the specially made chip that was implanted in his hand eleven days ago. I spoke with him about his new implant and he told me that this was actually his second one.
The first thing I wanted to know was how bad it hurt. If you watch this video, you’ll probably wince in imaginary pain as I did. Brandon explained that this was his second chip. When he received his first one, he did not use any anesthesia or anything to numb it.
“The first one was a little bit smaller so it wasn’t as intense as shoving that giant rod into my hand. The first one came preloaded into a larger syringe. They pushed the syringe in and they popped in the chip similar to how they would microchip a dog.”
The first chip implant burned and was sore for about a month. However, for the second one which is what is used to unlock his Tesla, his hand was anesthetized with lidocaine. Brandon said a four-gauge needle was used.
The chips, he explained, are coated in biocompatible substances such as biopolymer. His other one is a bioglass. Once implanted, the body encapsulates the chip with its own tissue.
Why Two Chips?
I was curious as to why Brandon had two chip implants. He explained that they do completely different things. The chips are used for a variety of purposes such as access control, storing data, lighting up under your skin, or storing cryptocurrencies. Brandon is actually beta testing the chip he uses to unlock his Tesla.
The chip that Brandon uses to unlock his Tesla is the VivoKey Apex which is a contactless NFC secure element chip.
“I’m in a beta group of around 100 people and this one can do secure transactions and java card applets. The company that put this together literally has its own app store where you can wirelessly install apps into your body with these chips. And one of the apps just happened to be a Tesla key card. So that was the first app I installed on it because I have a Tesla and now I use that as my key when my Bluetooth key fails or I don’t have my key card. You just use your hand.”
The first chip, Brandon explained, is the key to his home and stores his portfolio, his contact card, medical information, Covid vaccination card, and similar items. The chip can be scanned with any cell phone which then opens a portal you can access the information.
“The whole idea was that I would have my house key in my left hand and my car key in my right hand. And then what’s really cool is when it’s approved, they can wirelessly activate the new chip I just got to do credit card transactions. I can link a credit card to it and I can use it anywhere where there are tap-to-pay terminals.”
The Obvious Concern: accidently being close to something that would scan the chip and use it.
One concern I had was what if the chip was accidently used or accessed. Or, worst case scenario, hacked? For example, would a nearby credit card machine accidently scan your chip and access your money? Brandon explained that the chip had to be very close for the machine to read it.
“You have to be within a few millimeters of the thing and realistically, hopefully, you’re not just walking through credit card terminals and brushing your hands against them during mid transactions.”
“It’s a very short read range. It’s no different from your phone if you use Apple Pay. It’s like that but it’s built in your hand.”
Will Brandon get more chips?
Could this be the tech version of tattoo addictions? I asked Brandon if he had plans for getting any more chips in the future. Brandon works in tech and `is always trying to be on the cutting edge of everything.
“For me, it’s something that made sense at the time. It’s kind of like a fun party trick. When you can one of my chips with your phone, it glows green underneath your skin.”
There is another chip but it’s not yet available in the U.S. just yet. This one measures your body temperature. The capsule is installed in your chest and you can scan it with your phone and take your temperature.
“We’re at the dawn of this technology and it’s a very niche product. And there’s been a lot of pushback. People thought that Bill Gates was putting tracking chips in the Covid vaccine. It fuels a lot of conspiracy theories.”
“It’s funny because these chips can’t track anything. You would need an external power supply to be tracked anywhere. And their phones are tracking them everywhere they go anyway. If you go to your Google location history, it shows you step-by-step where you’ve been.”
“And there’s the religious people who have sent me a bunch of weird comments on Facebook about the mark of the beast on the video of my first chip installation. There’s something in the Book of Revelation that talks about this mark in your hand or forehead that shows your allegiance to Satan or something like that. I just don’t want to have to worry about forgetting my car keys. I’m not over here worshiping Satan.”
Cost of getting the Tesla key card chip implanted.
Credit: Brandon Dalaly
If you were to guess how much this would cost, you might be shocked at how wrong you may be. Unless you guessed $400.
“It’s not as bad as people think. Since I was a beta tester, I got the chip for $300 and then my installer charged me just $100 to put it in. To him, it was the same as a subdermal piercing. It’s the same method but he was sticking in something different.”
Brandon’s installer has been a professional piercer for over 15 years. What do you think? Would you consider having a chip installed in your hand to unlock your Tesla or smart car?
Disclaimer: Johnna is long Tesla.
Your feedback is important. If you have any comments, concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1
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
