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SpaceX’s NASA astronaut launch debut jumps its place in line, now up next
According to NASASpaceflight.com reporter Michael Baylor, SpaceX’s Starlink-7 satellite launch has been indefinitely delayed due to drone ship constraints, meaning that the company’s Crew Dragon astronaut launch is now up next.
As a result, SpaceX’s next orbital launch has been delayed by at least eight days. In return, however, that launch will arguably be the most important in the company’s 18-year history, (hopefully) marking the biggest step by far SpaceX has taken towards its main goals of democratizing spaceflight and enabling the sustainable, permanent settlement of Mars. Known as Demonstration Mission 2 (Demo-2), it will simultaneously be the first crewed launch under NASA’s Commercial Crew Program (CCP) and SpaceX’s first astronaut launch ever and is scheduled to lift off no earlier than (NET) 4:33 pm EDT (20:33 UTC), May 27th.
Formerly scheduled to launch no earlier than (NET) May 7th, 17th, 18th, and 19th after a number of technical and weather-related delays, SpaceX’s 8th 60-satellite Starlink launch has now been delayed until sometime after Crew Dragon’s late-May inaugural astronaut launch. According to NASASpaceflight and speculated about in-depth on unofficial forums in the days prior, the schedule swap decision was made due to constraints in SpaceX’s drone ship. While simple on the face of things, the change does reveal a bit of the hidden strategy behind SpaceX’s management of both its rocket fleet and the ships that recover them.
Compounded by multiple largely unrelated delays, including weather in the planned booster and fairing landing zones, the Starlink-7/Demo-2 launch swap was caused by the simple fact that SpaceX only has one operational drone ship on the East Coast. The company coincidentally began sea trials with a second drone ship the very same day that Of Course I Still Love You (OCISLY) headed out to sea to catch Starlink-7’s Falcon 9 booster. However, that second ship has been extensively upgraded and will likely take several weeks of sea trials before it can be declared ready for its first East Coast rocket recovery attempt.
For each drone ship booster landing, it takes at least a week for the ship to be towed several hundred miles downrange to the recovery zone and at least as long to return to port. Add in the time required to safe and secure a landed Falcon 9 or Heavy booster, navigate sea states to prevent damage to – or the outright loss of – that booster, and the work needed to safely lift it off the drone ship’s deck onto dry land and it can easily be 9-10 days before a drone ship is ready for another landing.
At the same time, SpaceX’s turnaround record is about eight days between booster landings. Had SpaceX persevered and attempted to launch Starlink-7 on May 19th and Crew Dragon’s inaugural astronaut launch on May 27th, it’s possible that things would have worked out, with both booster landings occurring on schedule on the same drone ship. However, given just how much of a priority Crew Dragon Demo-2 is compared to an internal Starlink launch and a tropical storm threatening to delay Starlink-7’s launch and landing even further, SpaceX clearly decided that it just wasn’t worth the risk.
Given the extraordinary importance of Demo-2, set to be the first time the United States has launched its own astronauts into orbit in almost nine years, it’s not exactly surprising that SpaceX has chosen conservatism this time around and prioritized its inaugural NASA astronaut launch. According to Spaceflight Now, the Crew Dragon capsule assigned to SpaceX’s inaugural NASA astronaut launch – pictured above – actually joined the new Falcon 9 rocket that will launch it at Pad 39A on May 15th. Now fully fueled with liquid hydrazine and nitrogen tetroxide, the spacecraft could be mated with Falcon 9’s upper stage at any moment (if it hasn’t been already).
Once fully assembled, Falcon 9 booster B1058, a new Falcon 9 upper stage, Crew Dragon capsule C206, and an expendable trunk section will be rolled horizontally out to Kennedy Space Center (KSC) Pad 39A to perform a crucial pre-launch static fire test. Rollout and static fire operations could begin at any point within the next few days. It remains to be seen whether drone ship OCISLY will remain in the Atlantic Ocean or head back to Port Canaveral before departing again to catch booster B1058.
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
