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SpaceX’s next Starlink satellite launch slips closer to Crew Dragon astronaut debut
SpaceX’s next Starlink satellite launch has slipped about a week and a half into mid-May, placing it just nine days (or less) prior to the company’s inaugural NASA astronaut mission.
Known as Crew Dragon’s second Demonstration Mission (Demo-2), SpaceX’s first astronaut launch is officially scheduled no earlier than May 27th and is with little doubt the most important mission in the company’s history. Simultaneously, however, SpaceX is working to rapidly launch thousands of Starlink satellites in a bid to deliver high-quality internet service to tens – or even hundreds – of millions of people. The company has already launched an incredibly 420 operational Starlink satellites but that’s just a drop in the bucket compared to the ~4400, ~12,000, or even ~40,000+ the company will ultimately need to match its ambitions.
Along those lines, SpaceX’s eight Starlink launch (the seventh flight of v1.0 satellites) is now scheduled to lift off no earlier than (NET) 3:09 am EDT (07:09 UTC) on May 18th – a delay of 11 days from a previous May 7th target. The cause of that delay is unclear and will likely remain so but it does mean that 60 new Starlink satellites could head to orbit just nine days before Crew Dragon attempts to ferry astronauts to the International Space Station (ISS) for the first time ever.
The fact that SpaceX is still pursuing a Starlink launch a little over a week before the most important mission in the company’s history is not exactly surprising given that it’s performed several launches just days apart over the years. Still, given how much of a priority Demo-2 must be for both SpaceX and NASA, the closeness of Starlink-7 heavily implies that SpaceX has a more or less separate team capable of independently performing a Starlink launch.
SpaceX certainly has two orbital Florida launch pads at Kennedy Space Center (Pad 39A) and Cape Canaveral Air Force Station (CCAFS; LC-40). At least for now, SpaceX only has one drone ship – needed to recover boosters after both Starlink-7 and Demo-2 – but that could change in the near future. Now, with Starlink-7’s May 18th launch date firming up, it’s also safe to say that SpaceX has a workforce large enough to near-simultaneously support major a NASA astronaut mission and an uncrewed satellite launch.
Beyond its adjacency to Crew Dragon’s astronaut launch debut, Starlink-7 is also expected to feature a significant hardware milestone, (hopefully) marking the second time a Falcon 9 booster successfully completes five orbital-class launches and landings. Next Spaceflight recently confirmed that Falcon 9 booster B1049 has been assigned to support Starlink-7 approximately four and a half months after it completed its last (fourth) launch, Starlink-2.
Lost during its fifth launch after suffering an in-flight engine failure caused by an improper refurbishment procedure, Falcon 9 booster B1048 is currently the first and only SpaceX rocket to successfully complete five orbital-class launches. After the loss of B1048, B1049 became SpaceX’s new ‘life-leader’ for Falcon reusability. That refers to the fact that – if successfully recovered – B1049’s condition will help inform all future recovery and refurbishment efforts, while also ensuring that the booster will be the first to attempt all future nth reuse milestones.
If B1049 survives Starlink-7 and safely returns to shore, that future will (at least partially) be assured. For now, we’ll have to wait a little less than two weeks to find out if it does.
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
