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SpaceX’s Elon Musk: odds of Starship reaching orbit by 2020 are “rising rapidly”

Starship is visualized here landing on Mars. Initial Texas hop tests will likely look similar, albeit in Earth gravity and over concrete. (SpaceX)

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SpaceX CEO Elon Musk has suggested that the company’s newly revamped Starship and Super Heavy rocket (previously known as BFR) could perform its first integrated launches – placing Starship into orbit – as few as 12-24 months from today.

Musk indicated that the odds of Starship reaching orbit as early as 2020 are now as high as “60% [and] rising rapidly”, thanks in no small part to the flurry of radical changes the spacecraft and booster have both undergone over the course of 2018.

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Combined with a decision – made public at a September 2018 media event – to delay the debut of a vacuum-optimized upper stage Raptor (RVac) and stick with its mature sea level variant, Musk apparently is quite confident that these dramatic shifts in strategy will allow SpaceX to aggressively slash the development schedules of its next-gen launch vehicle. Intriguingly, Musk noted that while these “radical” design changes were almost entirely motivated by his desire to expedite the fully-reusable rocket’s operational debut, it apparently became clear that the cheaper, faster, and easier iteration could actually end up being (in Musk’s own words) “dramatically better” than its exotic carbon-composite progenitor.

BFS arrives at Mars. (SpaceX)

“Delightfully counter-intuitive”

Let there be little doubt – I am still immensely skeptical of this radical redesign and the implausible logistics of conducting said redesign at the last second while somehow maintaining the test schedule, let alone expediting it by 6-9 months. Despite the fact that Musk does seem to have a compellingly rational answer to every question thus far asked, he was no less convincing in mid-2016 when he stated with contagious conviction that Tesla’s Fremont factory would be an almost 100%-automated “alien dreadnought” as early as 2018. There is, of course, nothing wrong per se with being wrong, although taking 24 months and several hundred million dollars to realize as much can be downright fatal or at least a major health risk for any given company that faces such a challenge, as was the case with Tesla.

Skepticism aside, there are equally many reasons to be optimistic about the future of SpaceX’s Starship/Super Heavy (BFR) program over the next several years. Not only do metal hot structures have a proven track record of success (admittedly in the 1960s and for suborbital conditions, but still), but the century and a half humans have been making and building with steel serves to aggressively reduce risk in BFR’s development, whereas a giant, highly-reusable spaceship and rocket built mainly out of carbon composites is about as exotic, challenging, and alien as one could muster. One step further, Musk appears to be dead-set on the trade that the benefits of moving from composite to stainless steel far, far outweigh the costs.

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Most notably, Musk’s implication that a steel alloy skin – albeit with regenerative (i.e. liquid) cooling – could genuinely stand in for SpaceX’s ablative PICA-X heat shield technology on Starship was the most unintuitive but logical shift yet. Although steel alloys may literally have densities that are significantly higher than carbon composites, composites simply cannot (at least in the current state of the art) withstand high temperatures like those that Starship would inevitably experience during orbital and interplanetary reentries. As a result, Starship would need an extremely advanced heat shield technology that is minimally ablative, extremely lightweight, robust, and shock-resistant, not to mention an additional layer capable of mounting it to Starship’s composite hull while also insulating the propellant tanks and structure from the extreme heat of reentry.

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Steel, on the other hand, is one of the least thermally conductive metals available, while also featuring alloys with melting points that can approach and even surpass 1500 degrees C. With regenerative cooling, it’s entirely possible that a hot steel shield and fusion of propellant tanks and load-bearing structures could ultimately result in a spaceship far more reusable, reliable, and perhaps even performant that a spaceship relying on exotic heat shield materials and linerless carbon composite propellant tanks.

Perhaps BFR Block 2 or 3 will make room for dramatically improved composite formulations and production methods down the road, but advanced steel and other metal alloys appear to be the way forward for SpaceX for the time being. For now, we can sit, watch, and wait as something comes together at the company’s South Texas test and launch facilities.


For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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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