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SpaceX Starlink launch suffers third weather scrub, next attempt Tuesday
Update: Multiple weather constraint violations forced SpaceX to scrub today’s Starlink-12 launch attempt less than half an hour before liftoff, marking the mission’s third weather-related scrub and fourth abort overall since mid-September. As of October 4th, the US Air Force 45th Space Wing predicted a 40% chance of weather violation.
SpaceX’s fifth Starlink-12 launch attempt is scheduled no earlier than 7:29 am EDT (11:29 UTC) on Tuesday, October 6th. The mission-specific T-1 weather forecast predicts a 70% chance of favorable conditions.
On the heels of a rare last-second Falcon 9 launch abort, SpaceX is closing in on its third attempt to launch the 12th batch of operational Starlink satellites.
Scheduled to lift off from Kennedy Space Center (KSC) Launch Complex 39A (Pad 39A) no earlier than (NET) 7:51 am EDT (11:51 UTC) on Monday, October 5th, Starlink-12 was originally scheduled to launch in mid-September. Bad weather at the Atlantic Ocean landing zone caused a ten-day delay from September 17th to the 27th, followed by a pad weather delay on the 28th.
After a ULA Delta IV Heavy mission with range priority was scrubbed for the seventh time on September 30th, SpaceX tried to launch Starlink-12 again but suffered an abort – later blamed on a pad sensor – seven seconds before liftoff. Finally, a new Falcon 9 launch with an upgraded GPS III satellite aboard was aborted just two seconds before liftoff on October 2nd. Moved from NET October 3rd to the 5th just prior to GPS III SV04’s separate launch delay, Starlink-12 is now up next.
Interrupting what has otherwise been a much-improved level of launch readiness and schedule reliability for Falcon 9 and Falcon Heavy’s Block 5 upgrade, this recent string of delays – while mostly the result of weather and ULA’s own NROL-44 launch delays – has even become a concern for CEO Elon Musk. Currently focused on building out SpaceX’s new Starship factory and pushing towards the rocket’s first high-altitude and orbital test flights in Boca Chica, Texas, Musk stated that he would be flying to Cape Canaveral “to review hardware in person” on the week of October 5th.
Musk also says that SpaceX is “doing a broad review of launch site, propulsion, structures, avionics, range, & regulatory constraints” to determine if an apparent goal of “48 launches” in 2021 is feasible.
To be fair to SpaceX, most of the plague of delays suffered by the company in the last month has been caused by a mixture of weather and the range’s preferential treatment of ULA’s “national security” NROL-44 launch. Additionally, of an impressive seven ULA NROL-44 launch attempts between August 26th and September 30th, just a single one was caused by weather – the remaining six a result of a wide variety of technical software and hardware bugs. SpaceX’s Starlink-12 and GPS III SV04 missions have only suffered one technical launch abort each on September 30th and October 2nd.
In other words, short of upgrading Falcon rockets to launch and land in worse weather conditions, most of SpaceX’s delays have been largely out of the company’s control, while ULA’s NROL-44 struggles demonstrate just how much worse things could be. According to an unofficial analysis of 44 Falcon Block 5 launches since May 2018, only four technical launch aborts have been triggered by a booster fault. Pad-caused aborts have been roughly as common, meaning that 1 in roughly 6 to 8 SpaceX launches suffers some kind of abort shortly before liftoff, on average.
Altogether, Falcon Block 5 rockets have been relatively dependable for on-time, on-schedule launches even if SpaceX has struggled with more repeated delays than usual in the last few months. To achieve anywhere close to 48 launches annually, however, major improvements will need to be made, likely including upgrades to whatever is responsible for Falcon 9’s weather constraints. As of October 2020, SpaceX has never launched four times in one month (or four times in the same ~30-day period). To launch 48 times in one year, SpaceX will need to average four launches per month. That, of course, in no way accounts for the possibility that 2020-esque summer weather could functionally cut 4-8+ weeks off of Falcon 9’s annual availability.
Regardless, SpaceX will begin live coverage of the third Starlink-12 launch attempt around 7:35 am EDT (11:35 UTC). Tune in to (hopefully) catch the company’s 17th launch this year.
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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
