SpaceX has completed its 60th operational Starlink satellite launch after a rare string of scrubs.
Flying for the 6th time just 66 days after its 5th launch, Falcon 9 booster B1067 lifted off with 54 Starlink satellites on SpaceX’s Starlink 4-34 mission at 8:18 pm EDT, Sunday, September 18th. Five days prior, after unknown issues triggered a delay from a planned September 11th launch attempt, SpaceX attempted to launch the mission for the first time on September 13th.
About an hour before liftoff, lightning conditions forced the company to call off the attempt. On September 14th, also about an hour before liftoff, weather forced SpaceX to call off the second attempt. On September 15th, the third attempt was aborted (by weather) just 29 seconds before liftoff, followed by a fourth weather-related scrub about a minute before liftoff on September 16th. Only after a fifth attempt on September 17th was preempted by a delay to September 18th did SpaceX finally find a gap between Florida’s summer weather.
With dozens of Starlink launches beginning to blur together and SpaceX’s Falcon 9 continuing a relentless and potentially record-breaking streak of successes at a pace that could soon make it the fastest launching rocket in history, it’s hard to be surprised that Starlink 4-34 was completed without issue. Falcon 9 B1067 ascended under power for about three minutes, sent the rest of the rocket on the way to orbit, coasted into space, and returned to Earth with SpaceX’s 68th consecutively successful booster landing.
Falcon 9’s underappreciated upper stage continued into an orbit around 300 kilometers (~190 mi) up, spun itself up end over end, and deployed a 16.7-ton (~36,900 lb) stack of 54 Starlink V1.5 satellites all at once. Following the quick deployment, the rocket’s pair of reusable fairing halves were likely still 10 or 20 minutes away from touching down on the Atlantic Ocean under their GPS-guided parafoils, where they will eventually be scooped out of the water for future flights.
Starlink 4-34 was SpaceX’s 42nd launch of 2022, maintaining an average of one launch every 6.2 days since the year began. It leaves more than 3000 working Starlink satellites in Earth orbit, likely meaning that a majority of all working satellites are owned and operated by SpaceX less than three full years after the company began operational launches.
Up next, Next Spaceflight and Spaceflight Now report that SpaceX has two more Starlink launches (4-35 and 4-36) tentatively scheduled before the end of September. As of September 15th, both reported that those missions were working towards launches on September 19th and September 26th – nothing unusual for SpaceX in 2022.
What was unusual, however, was both unofficial manifests’ agreement that SpaceX intended to use the same pad – Cape Canaveral Space Force Station’s LC-40 – to launch Starlink 4-34, 4-35, and 4-36. Even assuming that those schedules were predicated upon Starlink 4-34 launching on September 13th, before all of its weather delays, SpaceX would have had to break LC-40’s 7.7-day turnaround record by around ~25% and complete a second launch just seven days after that.
Starlink 4-34’s delays have thrown that plan into question, but the fact that SpaceX thought it was possible in the first place suggests that the company has plans to squeeze even more performance out of LC-40 – already its most important pad from the perspective of launch cadence. Launch photographer Ben Cooper now reports that Starlink 4-36 could launch in late September or October. If it slips into October, SpaceX has a rapid-fire pair of customer satellite launches scheduled on October 5th and 13th that will probably take precedent over any internal Starlink mission.
With only 16 days left before LC-40’s next commercial launch and NASA’s Crew-5 launch taking over SpaceX’s other East Coast pad until October 3rd, SpaceX would have to launch Starlink 4-35 and 4-36 just four or five days apart (and one just 4-5 days after Starlink 4-34) to avoid delaying one of the Starlink missions well into October, avoid unnecessarily delaying commercial launches for paying customers, and ensure that those customers don’t have abruptly agree to be commercial guinea pigs for extra quick LC-40 turnarounds.
Starlink 4-35 is now tentatively scheduled for September 23rd, making a Starlink 4-36 delay more likely but not fully ruling out a launch attempt before the end of the month.
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.”
News
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
