News
SpaceX static fires Falcon 9 with satellites on board for the first time in years
SpaceX has successfully completed a Falcon 9 static fire ahead of Starlink’s first dedicated launch, breaking a practice that dates back to Falcon 9’s last catastrophic failure to date.
That failure occurred in September 2016 around nine minutes before a planned Falcon 9 static fire test, completely destroying the rocket and the Amos-6 communications satellite payload and severely damaging Launch Complex 40 (LC-40). Since that fateful failure, all 42 subsequent Falcon 9 and Falcon Heavy satellite launches have been preceded by static fire tests without a payload fairing attached. This process typically adds 24-48 hours of work to launch operations, an admittedly tiny price to pay to reduce the chances of a rocket failure completely destroying valuable payloads. With Starlink v0.9, SpaceX is making different choices.
When supercool liquid oxygen ruptured a composite overwrapped pressure vessel (COPV) in Falcon 9’s upper stage, the resultant explosion and fire destroyed Falcon 9. Perhaps more importantly, the ~$200M Amos-6 satellite installed atop the rocket effectively ceased to exist, a loss that posed a serious threat to the livelihood of its owner, Spacecom. Posed with a question of whether saving a day or two of schedule was worth the potential destruction of customer payloads, both customers, SpaceX, and their insurers obviously concluded that static fires should be done without payloads aboard the rocket.
The only exceptions since Amos-6 are the launch debuts of Falcon Heavy – with a payload that was effectively disposable and SpaceX-built – and Crew Dragon DM-1, in which Falcon 9’s integration with Dragon’s launch abort system had to be tested as part of the static fire. Every other SpaceX rocket launch since September 2016 has excluded payloads during each routine pre-flight static fire.
SpaceX’s Spacecraft Emporium
Why the change of pace on this launch, then? The answer is simple: for the first time ever, SpaceX is both the sole payload/satellite stakeholder and launch provider, meaning that nearly all of the mission’s risk – and the consequences of failure – rest solely on SpaceX’s shoulders. In other words, SpaceX built and owns the Falcon 9 assigned to the mission, the 60 Starlink test satellites that make up its payload, and the launch complex supporting the mission.
Even then, if Falcon 9 were to fail during an internal SpaceX mission, customer launches could be seriously delayed by both the subsequent failure investigation failure and any potential damage to the launch complex. In short, although an internal mission does offer SpaceX some unique freedoms, it is still in the company’s best interest to treat the launch like any other, even if some customer-oriented corners are likely begging to be cut. Additionally, the loss of SpaceX’s first dedicated payload of 60 Starlink satellites could be a significant setback for the constellation, although it may be less significant than most would assume.
This is not to say that SpaceX won’t take advantage of some of the newfound freedom permitted by Starlink launches. In fact, CEO Elon Musk has stated that one of SpaceX’s 2019 Starlink missions will become the first to reuse a Falcon fairing. Additionally, SpaceX is free to do things that customers might be opposed to but that the company’s own engineers believe to be low-risk. Notably, Starlink missions will be an almost perfect opportunity for SpaceX to flight-prove reusability milestones without having to ask customers to tread outside of their comfort zones.
The sheer scale of SpaceX proposed Starlink constellation – two phases of ~4400 and ~12,000 satellites – means that the company will need all the latent launch capacity it can get over the next 5-10 years, at least until Starship/Super Heavy is able to support internal missions. Extraordinary packing density will help to minimize the number of launches needed, but the fact remains that even an absurd 120 satellites per launch (double Starlink v0.9’s 60) would still require an average of 12 launches per year to finish Starlink before 2030.
In the meantime, thoughts of a dozen or more annual Starlink launches are somewhat premature. SpaceX’s first dedicated Starlink launch (deemed Starlink v0.9) is scheduled to lift off no earlier than 10:30 pm EDT (02:30 UTC), May 15th, and is being treated as an advanced but still intermediary step between the Tintin prototypes and a finalized spacecraft design. Still, in an unprecedented step, SpaceX has built sixty Starlink satellites for the development-focused mission, in stark contrast to the six satellites (still a respectable achievement) competitor OneWeb launched in February 2019 as part of its own flight-test program.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
