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Will the 200 mi, $30k Chevy Bolt challenge Tesla’s Model 3?
The Chevy Bolt and Tesla Model 3 will be priced nearly the same and will have about the same range. Is there room enough in the market for both or will one dominate the other in sales?
Chevrolet unveiled its production all electric Bolt at the Consumer Electronics Show (CES) this week. Promising a range of 200 miles on a single charge, and at a price point in the $30,000 range, the Chevy Bolt has many wondering how this will stack up against Tesla’s upcoming mass market Model 3, to be unveiled in March.
Price and Range
Both cars will be similarly priced. Tesla says the Model 3 will start at $35,000. Mary Barra, GM’s CEO said at CES on Wednesday the Bolt will start at $37,500 before incentives and rebates. Though she didn’t give any details about trim levels and options, we know that a fully equipped Chevy Volt costs about $8,000 more than the base model. Add the same amount to the Bolt and you have a retail price just north of $45,000.
In all likelihood, Tesla will offer a number of options on the Model 3 including a choice of battery sizes, single or dual motors, and possibly falcon wing doors as hinted by Elon Musk. It wouldn’t take much to get the price of a Model 3 above $45,000. We wouldn’t be surprised if a fully loaded Model 3 nudges the $60,000 mark.
Styling
Beauty is in the eye of the beholder, which couldn’t hold more true when it comes to the looks of the Chevy Bolt. Some have said it resembles a BMW i3 in the front and a Honda Fit in the rear. Despite the compact look of the Bolt, it’s quite roomy inside. The front seats are a monopost design similar to what Tesla uses for the second row seats in the Model X. The center console floats between the seat, leaving lots of foot room for rear seat passengers. The Bolt’s flat floor means it’s easy to slide in and out. It also has slightly more cargo room than the Honda Fit.
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- Roomy Chevy Bolt storage capacity
No one knows yet what the Model 3 will look like, but Tesla has done an excellent job designing its cars so far. The Model S still looks modern even though it has been on the road for 4 years. We hear reports that Elon is pushing his engineers to get the coefficient of drag on the Model 3 below .20, which may require some extreme exterior designs. From what we know, the Model 3 will be larger than the Bolt, but is expected to be a sedan, at least initially. The Bolt is more of a crossover utility vehicle.
Connectivity and Autonomous Driving
Tesla has an enormous lead over other manufacturer thanks to its Autopilot software that shares what it knows with other Teslas via the cloud. It also has one of the user interfaces in the business. The touchscreen in the Bolt is adequate but not groundbreaking. The area where the Bolt and the Model 3 may be direct competitors is in the market for on-demand car sharing.
Ms. Barra announced the Bolt will have app based software that will make it suitable for car sharing. The corollary is that General Motors just invested a half billion dollars in Lyft. It clearly is positioning itself for the new transportation paradigm in which people don’t own cars anymore. They simple request the kind of car they need when they need it and pay the appropriate fee. Particularly for people in crowded urban areas, that model makes perfect economic sense.
But Tesla has its eye on that market as well. Who can forget Elon’s awkward moment during a recent conference call when analyst Adam Jonas asked him if Tesla was interested in pursing on-demand car sharing? Musk’s demeanor made it clear that Jonas’ question had hit a nerve. That’s where the collision between the Chevy Bolt and the Tesla Model 3 may occur, as both attempt to exploit new market opportunities.
Timing
Mary Barra confirmed Wednesday that Chevy Bolt production will begin late in 2016. That should give it about a one year head start in the market on the Tesla Model 3 — assuming Tesla keeps to its stated timeline. If it does, it will be the first time in company history. If it is delayed, it may spot the Bolt such a massive lead that it will never be able to catch up.
Elon Musk has challenged other automakers to make more and better electric cars. The Chevy Bolt is GM’s first attempt to rise to the challenge. Whether it is a Tesla killer or just a pretender won’t be known until at least a year from now.
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.
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.
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.
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.
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
