SpaceX’s newest drone ship is on its way out into the Atlantic Ocean for a Starlink mission that will break the company’s record for annual launch cadence.
Somewhat confusing known as Starlink Shell 4 Launch 3 or Starlink 4-3, the batch of 53 laser-linked V1.5 satellites is scheduled to fly before Starlink 4-2 for unknown reasons and at the same time as Starlink 2-3 is scheduled to fly before Starlink 2-2 on the West Coast. Regardless of the seemingly unstable launch order, perhaps related to the recent introduction of Starlink’s new V1.5 satellite design, drone ship A Shortfall of Gravitas’ (ASOG) November 27th Port Canaveral confirms that SpaceX is more or less on track to launch Starlink 4-3 no earlier than (NET) 6:20 pm EST (23:20 UTC) on Wednesday, December 1st.
In a bit of a return to stride after launching 20 times in the first six months but only three times in the entire third quarter of 2021, Starlink 4-3 is currently the first of four or even five SpaceX launches scheduled in the last month of the year. Nevertheless, if Starlink 4-3 is successful, it will also set SpaceX up to cross a milestone unprecedented in the history of satellite launches.
Specifically, Starlink 4-3 is SpaceX’s 16th dedicated Starlink launch of 2021 and will mark 951 Starlink satellites safely delivered to orbit since January 20th. If, as CEO Elon Musk has telegraphed is the plan, SpaceX intends to complete one more dedicated Starlink launch in December (either Starlink 2-2 or 2-3), the company could round out 2021 having launched more than a thousand satellites in a single year.
Thanks to Starlink, 2020 was the first year in history in which more than a thousand satellites (technically 1283) were launched into orbit. Now, in 2021, there’s a good chance that SpaceX Starlink launches alone will account for more than a thousand satellites launched in one year. Altogether, SpaceX will likely end the year having singlehandedly launched a total of more than 1240 satellites in 2021 – and despite only completing 3-4 Starlink launches in the last seven months of the year compared to 13 in the first five months.
For SpaceX and Starlink, that’s great news. In March and November 2018, the FCC approved two SpaceX applications to launch and operate constellations of ~4400 and ~7500 Starlink satellites – a total of around 11,900 satellites. To avoid having its licenses revoked, SpaceX – like all other FCC constellation applicants – is required to launch half of its licensed constellation within six years of its license receipts and full constellation within nine years. For SpaceX, that means it has to launch at least ~2200 satellites operating around 550 km (340 mi) and ~3750 satellites operating around 350 km (~220 mi) by March and November 2024, respectively.
With a bit less than 1700 Starlink satellites currently functioning in orbit, even if SpaceX merely repeats its 2021 cadence, it will be on track to outright finish Starlink’s first 4400-satellite phase by mid-2024 and should easily cross the halfway mark by mid-2022 – years ahead of schedule for both. However, simultaneously hitting Starlink’s very low Earth orbit (VLEO) deployment milestones will still be a massive challenge. Given that SpaceX has yet to launch a single VLEO Starlink spacecraft three years after license approval, it now has less than three years to launch ~3750 VLEO satellites on top of at least 500 more LEO satellites.
If SpaceX can replicate its H1 2021 Starlink launch cadence throughout 2022, completing at least 26 launches in 52 weeks, it may actually have a shot at pulling off a cadence close to what is needed to meet its FCC deployment requirements (an average of 1400 satellites per year for the next three years). If SpaceX simply aims for the average annual numbers needed to complete the full ~11,900-satellite Starlink constellation by November 2027, it will need to launch around 1800-2000 satellites per year – equivalent to 35-40 Falcon 9 rockets.
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
