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
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
