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Tesla owner implants a chip to unlock his car and more Tesla owner implants a chip to unlock his car and more

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Tesla owner implants a chip to unlock his car and more

Photos by Brandon Dalaly

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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.

 

Credit: Brandon Dalaly

 

“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.”

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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.

Credit: Brandon Dalaly. Brandon is unlocking his Tesla with the chip in his body.

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.”

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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.

Credit: Brandon Dalaly. The chip can be seen glowing under Brandon’s skin.

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.”

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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.”

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“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.

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.

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?

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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

 

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Johnna Crider is a Baton Rouge writer covering Tesla, Elon Musk, EVs, and clean energy & supports Tesla's mission. Johnna also interviewed Elon Musk and you can listen here

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The Boring Company just doubled its tunneling power in Nashville

The Boring Company’s Prufrock MB2 is commissioned and ready to mine beneath Nashville’s streets.

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The Boring Company’s second tunnel boring machine, Prufrock MB2, is officially ready to dig in Nashville. The company confirmed the news on X, posting: “Prufrock-MB2 is ready to mine in Nashville! MB2 commissioning is complete, including the brief 11 rpm rotation shown here. Will MB2 catch up to MB1, who had quite the head start? And Prufrock-MB3 ships in August!”

MB2 arrives with meaningful improvements over its predecessor. Lessons learned from the launch and operation of MB1 have already been applied to MB2 to improve efficiency and prepare the machine for launch.

Traditional tunnel boring machines operate in a stop-and-go cycle, digging roughly five feet, halt, erect precast concrete segments to line the tunnel wall, then resume. That repeated interruption is one of the main reasons conventional tunneling is slow and expensive. Prufrock is designed to install the tunnel liner simultaneously with mining, eliminating the need to stop every five feet. The machine also skips the need for excavated launch pits. Prufrock arrives on a truck, tilts down, and launches into the ground within 24 hours. And when the tunnel is complete, it emerges from the ground and drives to its next launch site on a trailer, eliminating the need for expensive cranes or pit excavation. The machine is also fully electric and runs with zero people in the tunnel during normal operations, controlled remotely from a surface operations center.

It won’t be long before we hear of another major update on The Boring Company’s Music City Loop project – a planned underground transit network beneath Nashville that would move passengers in electric vehicles through a series of tunnels at highway speeds, and bypassing surface traffic entirely. Nashville was selected in part because of its strong rock conditions that suits the Prufrock machines well, and relatively less regulatory hurdles.

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Progress has been steady on multiple fronts. All 37 permits and approvals required ahead of tunneling have been obtained, out of 45 total. Key wins include a fully executed TDOT tunnel permit authorizing 25 miles of tunnel, unanimous airport authority approval for a Nashville International Airport station, and the city’s first residential station agreement serving downtown tower residents.

With MB1 already tunneling, MB2 now commissioned, and MB3 shipping in August, Nashville is becoming something of a live proving ground for scaled tunnel boring. The broader ambition is not limited to one city. The Boring Company’s stated goal is to make underground transportation a practical alternative to surface roads across major metro areas. Nashville is one of many cities, including a successful Las Vegas tunnel system, where that idea is being put to the test at real speed.

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Tesla urges New Jersey owners to oppose new bill that could block Robotaxi

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Credit: Grok

Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.

The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.

According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.

Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.

The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.

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In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.

Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.

In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.

Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.

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Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.

This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.

As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.

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Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest

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Credit: TESLARATI

Turn-by-turn navigation is not new technology.

For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.

Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

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Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.

Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.

Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.

But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.

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This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.

More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.

It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?

Multiple Data Sources

First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.

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Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.

Persistent Learning

FSD seems to struggle with persistent learning from driver interventions.

Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.

This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.

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I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.

Reasoning, Scaling, and Intuition

Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.

Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.

Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.

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Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.

Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.

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