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SpaceX’s next Falcon Heavy hits milestone as final rocket parts arrive in Florida
SpaceX has reached a critical milestone on the road to Falcon Heavy’s third flight: all major parts of the rocket – three boosters, an interstage, and a payload fairing – are now officially on-site at the company’s Pad 39A launch facilities.
This means that all that stands between SpaceX, the USAF, and the critical mission is the integration of the hardware into one vehicle, as well as the integration and encapsulation of all 24 customer satellites in the Falcon payload fairing. As noted by the USAF Space and Missile Systems Center (SMC), Falcon Heavy’s Space Test Program-2 (STP-2) mission will be exceptionally challenging and important for SpaceX for a variety of reasons.
Falcon Heavy: The Upper Stagening
Although the general performance of the three first stage boosters will be absolutely critical, the US Air Force’s STP-2 mission manages to cram in several additional major goals. First and foremost, all eyes will be on SpaceX’s Falcon upper stage (S2). Scheduled to last no less than several hours, the upper stage will be put through its paces like never before, requiring four separate ignitions and shutoffs of its Merlin Vacuum engine. For SpaceX, this may be the first time the company has ever attempted the feat – if any on-orbit testing has been done after completing customer missions, SpaceX has never commented on it.
Back in February 2018, Falcon Heavy’s launch debut also happened to mark the first flight-test of a true long-duration upper stage coast and third ignition, a spectacular success that sent Starman and a Tesla Roadster into a heliocentric orbit that now reaches beyond Mars. As such, SpaceX will by no means be walking into the challenges of STP-2 unprepared. In fact, the coast required on Flight 1 may have technically been more challenging than any one of the four separate burns S2 will need to perform on STP-2. However, combining the need to do all four burns and deployments rather quickly and in sequence, the critical need for accurate orbital insertions, and high standards of reliability and mission assurance expected by the USAF, STP-2 will easily be the hardest mission SpaceX has yet to attempt.
If SpaceX succeeds, the benefits will stretch far beyond simply satisfying an Air Force requirement and securing the USAF’s Falcon Heavy certification. Once SpaceX has rigorously demonstrated the reliability of Falcon 9’s upper stage for long coasts and high numbers of ignition events, the company will be able to apply that as a marketable product. Potential customers include the usual communications satellite operators desiring a direct-to-GEO insertion, saving time (and thus making money faster) by skipping the orbit-raising that comes with easier transfer orbits.
One major use-case – as demonstrated by Falcon Heavy’s interplanetary launch debut – is sending payloads beyond Earth orbit, a capability that NASA would undoubtedly take advantage of.
Reusability makes a surprise entrance
But wait, there’s more! In a predictable but still largely unexpected turn of events, the Air Force has also selected Falcon Heavy’s STP-2 mission as an opportunity to gain familiarity with the rocket reusability SpaceX is famous for. Falcon Heavy’s second mission and commercial launch debut – Arabsat 6A – used three all-new Block 5 boosters, two of which returned to land after gentle recoveries. Known as B1052 and B1053, the lightly-used boosters are now scheduled to become the first flight-proven orbital-class rockets launched on a Department of Defense (DoD) mission in 25 years, since the Space Shuttle’s final military mission in 1992.
If successful, SpaceX will help pave the way for the US military to seriously adopt reusable rockets and develop the “certification” procedures needed to do so. This will benefit all prospective US launch providers, not just SpaceX, but SpaceX will likely be the only company flying valuable payloads on flight-proven rockets until Blue Origin and ULA’s Vulcan achieve flight-proven certification for military launches. Much like regular certification often requires multiple launch demonstrations, flight-proven certification will likely be at least as – if not more – stringent. For New Glenn, that milestone might come as early as 2023-2025, while Vulcan – if a reusable engine section is ever actually implemented – is unlikely to even complete its launch debut – let alone first reuse – before 2025.
As such, SpaceX is quite literally half a decade ahead of its prospective competitors when it comes to certifying flight-proven rockets for high-value launches. Additionally, just the act of the USAF completing its development of a reusability certification process will likely encourage – if not directly lay the foundation for – NASA to seriously consider doing the same with its own launch services.
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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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
