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SpaceX Falcon 9 rocket rolls to launch pad earlier than usual for next Starlink mission
A SpaceX Falcon 9 rocket has rolled to the launch pad a full week before the company’s next 60-satellite Starlink launch is scheduled, much earlier than usual compared to all recent Starlink missions.
Thrice-flown Falcon 9 booster B1051 will be supporting the internal SpaceX launch, serving as a partial return-to-flight mission after a Falcon 9 rocket suffered its first in-flight engine failure since 2012 less than a month ago. Recently discussed on Teslarati, prime customer NASA – perhaps just a month away from its first astronaut launch on a SpaceX Crew Dragon and Falcon 9 – has to outwardly worry about the impact of Falcon 9’s March 18th engine failure. Most recently, administrator Jim Bridenstine signaled that SpaceX had already effectively determined the failure mode enough for him to state that it’s “not going to impact our commercial crew launch.”
Likely implying that the engine failure was closely related to the fact that Falcon 9 booster B1048 was on its fifth launch, a first for SpaceX, a successful Starlink launch next week would likely alleviate most remaining customer concerns. Delayed a week from April 16th to 23rd, the rocket’s move to the launch pad indicates that SpaceX may be exerting significantly more caution on this particular Starlink launch, a sign that the company is unsurprisingly prioritizing a fully-successful mission over speed.
Excluding delays, recent SpaceX Starlink launches have seen their Falcon 9 rockets roll out to the launch pad and perform their preflight static fire tests just a few days (or less) before liftoff. To achieve that, SpaceX – for the first time since September 2016 – has begun installing payloads (its own Starlink satellites) on top of Falcon 9 before their static fires. Known as Starlink V1 L6 or Starlink-6 for short, that also remains true for this particular mission – SpaceX’s 6th Starlink launch since November 2019 and 7th launch overall.
Easily visible in Spaceflight Now’s live views of Falcon 9’s roll to the launch pad, the rocket already has a payload fairing – presumably full of 60 Starlink satellites – installed atop its second stage. The fact that SpaceX has rolled the fully-integrated Starlink-6 rocket to the launch pad a full week before its planned liftoff is thus at least a little curious.
The presence of a payload fairing effectively rules out an issue with Starlink satellites as the cause of the delay, while it also makes it much less likely – but not impossible – that any bugs were found in Falcon 9’s first or second stages. Were any such issues discovered, it’s hard to imagine that SpaceX would have chosen to roll the fully-integrated rocket to the launch pad, as any hardware issues would almost certainly require a return to the hangar and some level of disassembly.
As such, the reason for the rocket’s relatively early move to the launch pad is a bit of a mystery. Most likely, as briefly noted, SpaceX is simply taking a more cautious approach to this launch as a result of challenges faced in February and March. The use of Pad 39A – normally dedicated to Falcon Heavy and Crew Dragon launches – also raises the stakes a bit, as a vehicle failure on or around the launch pad would inherently result in major delays to NASA’s critical Commercial Crew Program astronaut launches.
Either way, SpaceX’s Starlink-6 mission is set to be uniquely high-profile. According to launch photographer Ben Cooper, Falcon 9 is scheduled to launch no earlier than 3:16 pm EDT (19:16 UTC) on Thursday, April 23rd. Stay tuned for updates as the rocket approaches its static fire test.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
