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SpaceX’s first West Coast Starlink launch orbits 51 new ‘space laser’ satellites

(SpaceX)

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A SpaceX Falcon 9 rocket has successfully launched 51 upgraded laser-linked Starlink satellites from its Vandenberg Space Force Base (VSFB) – the first mission of its kind out of the company’s west coast launch facilities.

Known as Starlink Group 2-1, the mission debuted the operational design of new V1.5 Starlink satellites with laser interlinks that will eventually let the constellation route its own communications almost anywhere on Earth – regardless of ground station locations. Aside from potentially allowing SpaceX to flout local regulations in countries with oppressive communications restrictions, firewalls, or censors, those lasers will also give Starlink the ability to easily deliver internet to moving vehicles – including aircraft traveling over oceans – and in even the remotest locations with no ground infrastructure for hundreds of miles.

Independent of its main purpose, the Starlink 2-1 mission also saw SpaceX tie its internal Falcon booster reusability record. Following in the footsteps of younger booster B1051, Falcon 9 B1049, which debuted in September 2018, successfully completed its tenth orbital-class launch and landing with Starlink 2-1. Originally scheduled to launch as early as July, apparent hiccups mass-producing new Starlink V1.5 satellites and their laser interlinks delayed the mission by about two months, causing SpaceX to launch just once in 11 weeks preceding the mission.

B1049 completed its ninth orbital-class launch in May 2021. (Richard Angle)

In comparison, Falcon 9 B1051 debuted in March 2019 and became the first booster to cross the ten-flight mark in May 2021, just 26 months later. B1049 took almost exactly 36 months to accomplish the same feat – almost 40% slower but still faster than any of the four NASA Space Shuttles that successfully reached similar milestones.

SpaceX also says that Starlink 2-1 is the 24th time the company has successfully launched a flight-proven Falcon 9 payload fairing, reusing a normally expendable component that CEO Elon Musk once likened to a pallet of $6 million in cash. Ultimately, the company gave up on efforts to catch parasailing fairing halves out of the air with giant ship-based nets and has instead refocused on perfecting the reuse of fairings that gently land in the ocean. For the most part, that’s been accomplished by designing Starlink satellites themselves to tolerate a much dirtier, louder launch environment than most other spacecraft, letting SpaceX remove sponge-like foam sound suppression tiles normally found inside fairings and worry less about needing to deep-clean the giant nosecones.

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Nevertheless, SpaceX has technically launched 150+ commercial payloads – and one major geostationary commsat (SXM-7) – over three launches with flight-proven fairings, suggesting that there is a path to wider commercial acceptance of the brand new technology and the direct cost savings it brings.

The first 51 Starlink V1.5 satellites. (SpaceX)

With Starlink 2-1 safely in orbit, SpaceX now likely operates more space-based laser interlinks than the rest of the world combined. Eventually, once enough satellites with laser links are in orbit, SpaceX will be able to dramatically expand Starlink coverage almost independent of the construction of new ground stations – a heavily bureaucratic process that has proven to make for agonizingly slow progress in a number of the 15+ countries with active service. Instead of requiring that the satellite a given user terminal (dish) is communicating with be in direct line of sight of a ground station dish to route a user’s communications, thus connecting them to the internet, a constellation with widespread lasers will allow a dish’s active satellite to relay that connection through other satellites.

As a result, ground stations can be significantly further away from the users they end up supporting. Further, given that SpaceX has no plans to stop building new ground stations despite the bureaucratic hell it can involve, a well-linked Starlink constellation will ultimately be able to beat most wired connections by using lasers to route user communications to the ground stations closest to the real-world servers or services they’re trying to access.

Stay tuned for updates on SpaceX’s next polar Starlink launch(es) with ‘space lasers.’

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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

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.

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.

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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:

“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.

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.

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