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SpaceX Falcon Heavy with Block 5 rockets targets November launch debut
According to several of its satellite passengers, SpaceX’s second launch of Falcon Heavy – this time with three Falcon 9 Block 5 boosters – is understood to be targeted for no earlier than November 2018 and will mark the first commercial mission for the world’s most powerful operational rocket.
Under the blanket label Space Test Program-2 (STP-2), Falcon Heavy’s first operational mission will be conducted for the US Air Force and see 25 various spacecraft – some weighing as much as 500 kilograms – launched into an equally varied selection of orbits, requiring a complex series of restarts and burns for the rocket’s upgraded Block 5 second stage. STP-2 also includes a huge 5000-kilogram ballast mass as a result of the decision to fly the mission as a demonstration of Falcon Heavy instead of a less powerful but cheaper and simpler single-booster Falcon 9. The total mass of all 25 payloads is likely far beneath the powerful rocket’s actual capabilities, as are the performance and propellant reserves required for the upper stage to inject different spacecraft into a number of orbits, hence the inclusion of so much dead mass.
Falcon 9 Block 5 shows off its interstage heat shielding and titanium grid fins. Falcon Heavy’s three boosters will likely look nearly identical. (Tom Cross)
Of those 25 distinct payloads, a number even include their own co-passenger satellites and experiments and have orbit requirements ranging from a basic circular low Earth orbit (~700km) to an odd, elliptical orbit with ends at 6000 and 12000km. For Falcon Heavy’s second flight, SpaceX will be fielding three highly reusable Block 5 boosters and a Block 5 upper stage with upgrades that enable the vehicle to operate far longer on orbit and reignite its Merlin Vacuum engine three or more times.
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- SpaceX’s second Falcon Heavy launch will either be the USAF’s STP-2, a collection of smaller satellites, or Arabsat 6A, a large communications satellite. (USAF)
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- One group of STP-2 passengers, known as DSX, has been awaiting launch for more than eight years. (USAF)
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- Falcon Heavy explodes off of Pad 39A in a spectacle of fire, Roadster in tow. (Tom Cross)
Unlikely to seriously tax Falcon Heavy’s brute-force payload lifting capabilities even with five metric tons of ballast, STP-2 will still be a lengthy and complicated endeavor for SpaceX’s Falcon upper stage – perhaps the most complex the company has yet to attempt. However, above all else, the most difficult aspect of the USAF STP-2 mission is almost certainly the comparatively mundane act of coordinating dozens of wildly different satellites and spacecraft from an equally varied number of different and geographically disparate institutions, companies, and government agencies, all of which must be ready for launch and attached to the same SpaceX payload adapter at roughly the same time to prevent mothballing launch delays.
RELATED: Reliving SpaceX Falcon Heavy: A press photographer’s memoir, not so much a blog post
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- Falcon Heavy as seen a day before launch, February 5. (Tom Cross)
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- All nine Merlin 1Ds displayed with their adorable cozies. (Tom Cross/Teslarati)
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- Falcon Heavy’s stunning dual side booster recovery. (SpaceX)
SpaceX’s first Falcon Heavy completed its spectacularly successful debut earlier this year with a mission that saw CEO Elon Musk’s own Tesla Roadster launch into orbit around the sun and culminated in the truly extraordinary near-simultaneous landings of the rocket’s two flight-proven side boosters. Those boosters both completed their first launches in 2016, nearly two years prior to their second and final flights, and the reinforced center core was built as a new but now-outdated Block 3, lessening the blow from its failure to land aboard the drone ship Of Course I Still Love You after separating from the upper stage. Like all Block 5 versions of Falcon, the second Falcon Heavy’s Block 5 boosters should be expected to support a number of launches before retirement, ranging from several to as many as 100.
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
