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SpaceX rings in the New Year with preparations for first Falcon 9 launch of 2020
SpaceX’s first Falcon 9 launch of 2020 – and the new decade – is just around the corner after drone ship Of Course I Still Love You (OCISLY) departed Port Canaveral on Monday to prepare for its 27th booster landing attempt.
Known as Starlink-2, SpaceX’s first launch of the new year slipped a handful of days from December 30th to January 3rd and finally January 6th and will be the company’s second launch of 60 upgraded Starlink v1.0 satellites, as well as the third dedicated Starlink launch overall. Just one of potentially dozens of SpaceX launches planned in 2020, the year is setting up to be – by a long shot – the company’s most ambitious year ever.
Meanwhile, Starlink-2 alone is set to ring in at least two significant milestones, pushing the nascent broadband internet constellation a step closer to serving customers and Falcon 9 reusability a step closer to being fully realized.
Drone ship OCISLY departed Port Canaveral on December 30th and is now being towed some 630 km (390 mi) downrange to Falcon 9’s planned Atlantic Ocean recovery location. SpaceX’s first launch and landing of 2020 will also be the three-year-old drone ship’s 27th attempted Falcon booster recovery and – hopefully – 23rd successful recovery.
Simultaneously, SpaceX technicians are in the midst of preparing other recovery fleet assets for what appears to be a partial fairing recovery attempt. Twin fairing catchers Ms. Tree and Ms. Chief debuted on their first simultaneous fairing catch attempt in December 2019 but each unfortunately missed their catches, instead picking up the floating fairing halves off the surface of the Atlantic and returning to port on December 18th.
The fairing halves were thus still successfully recovered and may be able to fly again on a future Starlink mission, but both fairing recovery ships suffered damage during their first simultaneous deployment. Ms. Tree suffered minimal damage in the form of tears to its secondary net – an easy fix – but Ms. Chief was not as lucky and somehow lost one of the two white booms that support each of her four arms.
That wounded arm was visibly hanging lower than its companions when Ms. Chief returned to port and technicians have since removed all of her arms, presumably evaluating whether the ordeal overstressed any components or caused significant damage.
Unsurprisingly, Ms. Chief will reportedly not take part in the fairing recovery portion of SpaceX’s imminent Starlink-2 launch, although it’s starting to look like Ms. Tree will be able to attempt a catch. SpaceX will still attempt to extract both fairing halves from the Atlantic even if the catch attempt fails and appears to be preparing GO Navigator to recover the half that would have otherwise been assigned to Ms. Chief.
Two milestones, one launch
As implied by the Starlink-2 title, SpaceX’s first launch of 2020 will feature the third batch of 60 Starlink satellites. Excluding 9 Starlink v0.9 satellites that have been intentionally lowering their orbits over the last several months to hasten reentry, this will give SpaceX a constellation of at least 170 operational satellites less than eight months after the company began launching the satellites.
This may not immediately seem significant but 170 operational satellites in orbit could make Starlink the world’s largest satellite constellation and SpaceX the world’s largest constellation operator. The only known competitor that comes close is Planet Labs, an Earth observation company believed to have approximately 150-170 operational satellites in orbit – most of which are 5-10 kg (10-20 lb) ‘Doves’ roughly the size of a loaf of bread.
Put another way, after Starlink-2, SpaceX will have around 45 metric tons (100,000 lb) of functional Starlink satellites in orbit, a constellation mass probably only rivaled by major geostationary commsat operators, global navigation satellites, and a few other high-value military constellations.
Meanwhile, according to NASASpaceflight.com, SpaceX has assigned Falcon 9 booster B1049.3 to its Starlink-2 mission, meaning that the launch will mark the second time that a single SpaceX rocket has flown four orbital-class missions. This follows on the footsteps of the November 11th, 2019 Starlink-1 launch, which saw Falcon 9 B1048 become the first booster to fly four times.
At this point, SpaceX has two additional Starlink launches scheduled in January and has plans for as many as 38 orbital launches throughout 2020. To complete that incredibly ambitious manifest, SpaceX will have to dig deep into its fleet of reusable rockets, meaning that Falcon 9 B1049’s imminent fourth launch is almost certainly just the tip of the iceberg. Falcon 9 B1049 is scheduled to launch SpaceX’s Starlink-2 mission no earlier than (NET) 9:20 pm ET, January 6th (02:20 UTC, Jan 7).
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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
