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SpaceX aborts Starship launch after Raptors produce too much thrust
Update #3: SpaceX CEO Elon Musk says that Starship prototype SN10 automatically aborted a 2:15 pm CST (UTC-6) launch attempt after the rocket determined that its three Raptor engines were producing too much thrust.
Instead of scrubbing for the day, Musk says that SpaceX will instead increase the flight computer’s thrust limits and try again as early as 4:30 pm CST – still well before today’s window closes at 6:30 pm. SpaceX ended its webcast but will start a second webcast a few minutes prior to the next launch attempt.
Update #2: As of Wednesday morning, SpaceX has officially confirmed that Starship is on track for a third high-altitude launch and ‘bellyflop‘-style landing attempt sometime later today.
As of 11am CST (UTC-6), FAA approval is in hand, weather is encouraging, Starship prototype serial number 10’s (SN10) flaps have been unchained, and SpaceX has cleared the launch site – all signs that the rocket’s launch attempt is imminent. Much like SN8 and SN9 coverage, SpaceX says it will make a public livestream of SN10’s launch available to the public “a few minutes” before liftoff. Stay tuned and follow along with NASASpaceflight’s live coverage in the meantime.
Update: SpaceX has asked Boca Chica Village residents to prepare to evacuate the area as early as Wednesday morning for Starship’s third high-altitude launch and landing attempt.
The odds of things going so wrong that a Starship launch could actually end with a prototype impacting at or near the Village and the handful of non-employee holdouts still residing there are minuscule. However, FAA safety regulations and SpaceX’s contingent launch license mean that evacuations are now a routine part of Starship’s high-altitude flight tests since Starship SN8 took the first step beyond short hops. While undeniably inconvenient for the few remaining residents, today’s evacuation notice – short of an official SpaceX.com confirmation – does serve as the ultimate sign that Starship SN10’s first launch attempt is firmly scheduled on Wednesday, March 3rd.
With FAA approval in hand, weather rapidly improving, and the latest rocket prototype seemingly raring to go, the stars are aligning for SpaceX’s third high-altitude Starship launch and first triple-engine landing attempt.
As of March 1st, publicly-available FAA “temporary flight restrictions” (TFRs) and weather forecasts both agree that SpaceX is currently preparing to launch Starship serial number 10 (SN10) as early as Wednesday afternoon CST (UTC-6), March 3rd. Barring surprises, that gives SpaceX a healthy three-day period to account for any potential technical or weather-related delays.
Originally scheduled as early as the last week of February, unspecified delays pushed Starship SN10’s launch debut schedule into March. In general, the vehicle’s path to flight has been much smoother than Starship SN8 and SN9, both of which ran into hardware bugs and opaque FAA licensing issues. With Starship SN10, the FAA approved SpaceX’s “modified” launch license well before the company was ready for flight – and even before the rocket had attempted its first static fire.
Unlike Starships SN8 and SN9, both of which took anywhere from 6-10 weeks to go from rolling off the factory floor to preparing for their first launch attempts, SN10’s first launch attempt appears likely to occur less than five weeks after the rocket arrived at the launch site. The sequential improvements in efficiency and reliability between those three prototypes is a fundamental part (or goal, at least) of SpaceX’s iterative development process.
Still, Starship SN10’s preflight flow wasn’t completely free of drama and SpaceX ultimately put the rocket through a second triple-Raptor static fire after the first test revealed an issue with one of those engines. SpaceX swapped that faulty engine out in record time and fired up SN10 again less than 48 hours after test #1, seemingly producing more satisfactory results the second time around.
Unlike its predecessors, SN10 will also debut a new triple-engine approach to landing, aiming to increase redundancy and boost the odds of a successful touchdown even if one of the Starship’s three Raptors fail during a last-second flip maneuver. Building on the failures of SN8 and SN9, it’s safe to say that SN10 has the best shot yet at sticking the landing.
TFRs show that two earlier launch windows on Monday and Tuesday (March 1st and 2nd) were canceled, leaving only the Wednesday, March 3rd airspace closure request still open. Wednesday was then backed up with two alternate windows on Thursday and Friday not long after.
Hardware-wise, Starship SN10’s cherry-on-top (an explosives-based flight termination system or FTS) was installed on February 28th. In the event that Starship loses control and strays past a certain point outside of its approved trajectory, that FTS would explode, breaching the rocket’s propellant tank, triggering vehicle breakup, and thus preventing it from harming the local populace. All told, SpaceX confirmation of a Wednesday launch attempt – and another official webcast – should be imminent. Stay tuned!
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
