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Buy Tesla or Build One: Why Apple Should Make a Car

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Once Upon a Tesla

First there were the rumors that Apple might buy Tesla. Then came the loose talk about Apple employing an army of engineers to build their own car, many apparently leaving Tesla to join the effort and cashing in nicely. Now the rumors about Apple buying Tesla are back. Really, it’s hard to keep up.

It’s difficult to believe that the closed shop and tight-lipped Apple culture would purposely leak this kind of intel. Was it a disgruntled employee? Perhaps it’s just more difficult to keep a secret these days with Social Media eavesdropping as if it were a fly on the wall. Or, maybe it’s nothing at all.

Disclaimer

I drive a Model S and own TSLA stock. I’m an Apple fan, but don’t own APPL. My first computer was a Macintosh Powerbook 165 Series made in 1993. I still have it and it boots up even today. I’ve purchased a vast number of Apple products over the decades and I can’t think of a brand I’m more invested in than Apple. As an admirer of great design they won me over early on and continue to do so. And, I’ll be one of the first to get my wrist on the Apple Watch in April.

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Barriers Were Made to be Broken

The idea of Apple designing and building a car is not new. For years many of us have been playing the game, “What would (fill in the blank) look like if Apple made it?” It’s right up there with the design school project to sketch out the “internet enabled refrigerator.” Apple broke the music barrier, the phone barrier and the design barrier for computers. Tesla broke the electric car barrier and they did it in ten years. They are the Jackie Robinson of the auto industry having flung open the door to electric vehicles while traditional auto makers refused to even seriously try.

Certainly there is some effort out of Detroit and others as of late and they should be applauded for realizing their miss. Mr. Musk’s gift of releasing Tesla’s patents was completely in line with the Tesla Way. I wonder how much of that intellectual property is being incorporated by others? My guess is not much. Companies prefer to take credit for their own innovation and invention; always thinking they can do it better.

Panic in Detroit

The media likes stirring the pot about how BMW is going to eat Tesla’s lunch and GM could put Tesla out of business tomorrow. And how Porsche is developing a “Tesla Fighter.” Today’s electric car activity outside of Tesla would not even be in the blue sky discussions if it weren’t for the success of the Model S. Tesla should not be dismissed as an “ankle biter,” which I would define as a non-threatening annoyance. Tesla is in fact a real threat to the car “smoke stack” industry. Respect Tesla or not, but know they are not going away. They may evolve or merge and it may not always be about cars, but it will likely be about some combination of energy and transportation, built on software and brilliant design.

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Tesla’s 85kWh Model S encountering new competition in the EV space from BMW.

I make no bold predictions about Tesla’s potential market cap or when Apple will buy Tesla or for how much. That’s not my arena so I will stay in my lane. I agree it’s fun, but the stakes are on an entirely new level here. This activity is about something more important than corporate profits. (I know profits are important. I work in financial services). Tesla is fundamentally about designing and enabling an entirely new future that is more environmentally responsible than the past and better for consumers.

Tesla should inspire our imagination, not make us think about their stock price or how many cars they sold yesterday. Google didn’t think about their stock price when they launched their Autonomous Car project. Newer companies have a distinct advantage in that they don’t need to repack their baggage. When you lack a history it’s easier to make a better future.

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It’s fascinating to me that Tesla and potentially Apple have more insight into what the “car of the future” could be than GM, Ford, or Chrysler. Is Silicon Valley the new Detroit?

Why Apple Must try for a Car

The world has become more connected over the last few years. The Internet of Things, powerful wireless connectivity and the transition to internet IPv6 will greatly expand the number of IP addresses that can be supported and makes a fully connected world possible. Apple’s seamless integration of device, content and software has made that world vision believable.

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A large 17″ touchscreen center stack on the Model S provides an iPad-like experience.

A large touchscreen in a car like the Tesla could emulate your Mac, or iPad, or iPhone screen with shared apps and programs. My iCalendar already synchs with that touchscreen from my iPhone as soon as I open the door. Apple’s software capabilities could take this to fascinating extremes. Music, programs, even Siri are all possible in an Apple Car operating system. Not to mention self-driving cars and the ultimate vision to eliminate collisions.

I believe the challenge for Apple lies in the hardware. A car is not a music player or a phone. No one drives an Apple product. It doesn’t have wheels or doors; nor does it carry precious human cargo. There are very few laws that govern phone safety. No crash tests to pass, or airbags to install. A car is not just a software engineering exercise that needs a shell. It’s a big, complex, and messy manufacturing problem that cannot be outsourced to Foxconn.

Tesla does have amazing software, but it did not, and could not abandon the deeply ingrained culture of what it means to own and drive a car. Tesla’s big robotic engineering science coupled with Apple’s software capabilities would make an unstoppable combination.

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Tim Cook tackling transportation is akin to Steve Jobs entering the retail space. It makes perfect sense for Apple and Apple’s vision. Their culture is to be a catalyst for innovation, vision and ultimately forward change. These are arguably the most important attributes for any business or culture.

If Apple is serious about making a car, they can choose their adventure. Buy Tesla, or build it on their own. Either way, I’m excited that we have another bright set of minds at work on disrupting a carbon monopoly. If Apple is now seriously in the game, it’s GM, Ford, Chrysler, BMW, Toyota, Honda, Nissan, BMW, Subaru… who should keep an eye on their lunch.

My One Prediction

Fast forward to 2021. Apple unveils their version of a car. Turns out I do have a prediction after all, and it’s rock solid. Apple will not sell their cars through a dealership network.

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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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Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK

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A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”

Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:

“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”

The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.

The Greater Manchester Police Department then added:

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“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”

The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.

Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.

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Apple is developing the missing link for Tesla to get CarPlay: report

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Credit: Michał Gapiński/YouTube

A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.

Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.

A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.

CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.

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Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:

The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.

Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.

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This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.

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