It is tough being Tesla. In a world where cars are becoming electric, just as the company initially intended when its mission began 18 years ago, Tesla is the top dog at the moment. Every car company in the world is nipping at its heels in an attempt to catch up to Elon Musk’s car company. However, recent developments have inspired me to look at a different kind of competition that Tesla is facing, something that feels somewhat unjust in the grand scheme of things. Unfortunately, it’s not from another car company, it’s from federal investigators and Tesla skeptics who continue to magnify the company’s accidents, all because there is the possibility that a car involved in an accident may have been operating on Autopilot.
Earlier this week, a Model Y was involved in a crash in Michigan. What turned out to be a case of reckless driving was initially blamed on the possibility of Autopilot by mainstream media sources. Unfortunately for them, their credibility regarding Tesla vehicles continues to be chipped away as they sacrifice long-term trustworthiness in the field of electric vehicles for short-term viewership. A Tesla was in fact in an accident in Detroit, and yes, the NHTSA was investigating it. There’s no reason to go any more broad than that.
Unfortunately, Tesla’s rollout of Autopilot and Full Self-Driving has put the company at risk for these types of stories. Anytime a Tesla crashes, the first thing that is planted in people’s minds is the possibility that the car may have been using the semi-autonomous driving functionalities. Why? Human beings are still responsible for operating the car even when the vehicle is utilizing the state-of-the-art technology. It is in no way the car’s fault when the driver is still responsible for the ultimate operation of the vehicle. It’s like blaming a fork for obesity, in my eyes.
While it is unfortunate that there have been deaths due to Autopilot, there are instances where gross negligence from the driver is truly the cause of an accident. For example, in a case where speed and reckless driving is truly the factor, there needs to be an immediate clarification by investigating officers. Perhaps Tesla could provide some clarification to authorities in some kind of system where officers could give the VIN of a vehicle involved, and Tesla could determine immediately whether the car was operating using its driver assistance features. Obviously, there may be a better way. But in the short-term, especially in the early days of the FSD Beta, the credibility of the vehicle’s systems is extremely important for future rollouts.
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Statistically, Tesla vehicles are much safer than human drivers, to begin with. Recent Q4 2020 Safety Report statistics from Tesla show that one accident occurred with Autopilot every 3.45 million miles. The national average is 484,000 miles. Isn’t that enough to prove Autopilot is a better option than human driving? By the way, it only gets more accurate and precise with every mile driven thanks to its Neural Networks that attain new data.
The exposure Tesla receives after one of these tragic accidents is likely what is the most frustrating. Immediately, people jump to conclusions and assume the car was responsible for the issues. It’s interesting though because I can’t ever recall a single instance of media jumping all over an issue with SuperCruise or any of the other numerous driver assistance systems that are out on the market today. I am sure there has been coverage, I just can’t recall any instance where it has been a national headline like Tesla seems to be included in on a regular basis.
In all honesty, it is just extremely frustrating to know that there is so much focus on Tesla’s shortcomings instead of its broad successes. I am a TSLA investor, but I am also extremely critical of the company at times, and I believe it is because of my holdings. There are times I would do things differently. I was vocal about my distaste for not telling any Model Y LR RWD reservation holders that their cars weren’t going to be made. I am upset that there is relatively no communication with Model S Plaid reservation holders regarding their steering wheels. I am not a fan that we’ve been told Semi/Roadster production is imminent on numerous occasions but we are still sitting here with neither of those vehicles. I get the bottlenecks, but I think those things have just frustrated me personally.
I’m glad Tesla spends $0 on advertising. The news outlets & media don’t deserve Teslas money. It’s better used growing the company & for things like building next-gen factories. Ford and GM alone will spend over $5B this year on US advertising. The bias is clear and money talks.
— Sawyer Merritt ?? (@SawyerMerritt) March 17, 2021
However, I am also going to admit when things are just plain unfair, and Tesla is a victim of that on so many occasions. I don’t know if that has to do with oil money lining the pockets of MSM, or it is just an attempt to derail a company that has really disrupted the automotive industry. I won’t speculate. There is, of course, a reason for the investigations that could be beneficial. It could just be an attempt to learn from the mistakes of Tesla and pass them along for future instances. Unfortunately, there will be more accidents with self-driving software, and it will go far beyond Tesla. However, Tesla is the only company with a robust self-driving program, so the microscope almost needs to be on them at times, but that’s where this whole situation really gets sticky.
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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.
Tesla is sending out this email to New Jersey Tesla owners, warning them that NJ could block autonomous vehicles, and to take action.
“Proposed legislation moving through Trenton right now would impose restrictions so severe that true driverless deployment would remain illegal.… pic.twitter.com/2bmY646AUL
— Sawyer Merritt (@SawyerMerritt) June 16, 2026
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.
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.
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.
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
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.
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.
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.
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.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
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.
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.
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.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“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… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
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:
“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.
Tesla urges New Jersey owners to oppose new bill that could block Robotaxi
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
