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SpaceX set for third Starlink launch in a row [webcast]
Update: SpaceX says that a Falcon 9 rocket is on track Starlink 4-11 from California’s Vandenberg Space Force Base (VSFB) no earlier than (NET) 9:12 am PST (17:12 UTC) on Friday, February 25th. The mission will be the third of five back-to-back Starlink launches planned in February and March 2022.
In lieu of commercial missions that are ready to fly, SpaceX Falcon 9 rockets are currently scheduled to launch at least five batches of Starlink satellites in a row.
The streak won’t break the company’s record of seven back-to-back Starlink launches but it does highlight one beneficial side-effect of SpaceX’s relentless pursuit of vertical integration – the ability to create its own launch demand. Just shy of two full months into 2022, SpaceX has launched seven times – three for paying customers and four for Starlink. Before February is over, the company is scheduled to launch at least one more batch of Starlink satellites for a total of eight launches in the first two months of the year.
Up next, SpaceX is scheduled to launch Starlink 4-11 out of its California-based Vandenberg Space Force Base (VSFB) SLC-4E facilities no earlier than (NET) 9:08 am PST (17:08 UTC), Friday, February 25th. Drone ship Of Course I Still Love You (OCISLY) departed the Port of Long Beach for the mission on February 22nd and is headed around 640 kilometers (~400 mi) southeast to a booster landing area just off the coast of Baja California. Falcon 9 booster B1063 is scheduled to support the mission – its fourth launch overall and first since it helped launch NASA’s DART asteroid redirection spacecraft into interplanetary space in November 2021.
Up next, another Falcon 9 rocket is scheduled to launch Starlink 4-9 as early as “mid-morning” EST on Thursday, March 3rd from its Kennedy Space Center LC-39A pad. Booster B1060 is reportedly scheduled to support the mission and will become the third SpaceX first stage to singlehandedly support eleven orbital-class launches if it does. Starlink 4-9 could be the pad’s last mission for a few weeks to give SpaceX enough time to convert its rocket transporter/erector for the March 30th launch of Axiom-1, which will send four private astronauts to the International Space Station.
Finally, SpaceX plans to launch Starlink 4-10 NET Tuesday, March 8th from Cape Canaveral Space Force Station (CCSFS) Launch Complex 40 (LC-40). It’s likely that SpaceX will launch at least one more Starlink mission next month but a firm date has yet to be settled on. All told, including Starlink 4-7 (February 3rd) and Starlink 4-8 (February 21st), SpaceX is on track to launch at least five Starlink missions in a row, hopefully placing around 240 satellites (~200 after losing most of Starlink 4-7 to a “geomagnetic storm”) in orbit in less than five weeks.
More a sign of a lack of commercial missions ready for flight than anything else, SpaceX’s record for uninterrupted Starlink missions – set from February to April 2021 – is seven launches. Technically, SpaceX actually managed 12 Starlink launches between February and March, with just one commercial mission – Crew-2 – separating the lot. Barring surprises, SpaceX is thankfully unlikely to be hit by a similar streak in 2022.
There’s a chance that SpaceX will launch a batch of three O3B mPower satellites for SES next month. At a minimum, SpaceX is scheduled to launch a trio of Dragon missions over the next two or so months, beginning with Ax-1 NET March 30th. Another Crew Dragon is scheduled to launch Crew-4 for NASA on April 15th, followed by Cargo Dragon 2’s CRS-25 space station resupply mission as early as May 1st. Excluding Starlink missions and on top of the three commercial launches SpaceX has already completed this year, there are as many as 38 more commercial Falcon launches tentatively scheduled before the end of 2022.
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
