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SpaceX’s next-gen Falcon Heavy closer to reality as side booster leaves factory
A duo of rocket spottings on November 9th and 10th confirm that SpaceX’s next Falcon Heavy rocket – an amalgamation of three Falcon 9 boosters, an upper stage, and extensive modifications – is already in the late stages of manufacturing and is nearing the beginning of integrated structural and static fire testing.
As of now, this Falcon Heavy side booster could end up supporting either or both of two near-term launch contracts in place for the rocket, communications satellite Arabsat 6A or the US Air Force’s second Space Test Program (STP-2) launch
SpaceX's second Falcon Heavy is slowly but surely coming together 😀 https://t.co/AYJsQ8Mld5
— Eric Ralph (@13ericralph31) November 13, 2018
The question of the hour – at least for Falcon Heavy – is which of those two available payloads will be atop the rocket on its first truly commercial launch. While suboptimal, a few general characteristics of each payload, SpaceX’s history of commercial launches, and Falcon Heavy itself can offer a hint or two.
Triple the rocket, triple the trouble
Thanks in large part to the fact that the first integrated Falcon Heavy was composed of two relatively old Falcon 9 booster variants and a center core that was quite literally a one-off rocket, the process of reenginering and building another Falcon Heavy rocket off of the family’s newest Block 5 variant has likely been far harder than simply building another Falcon Heavy. Although all three original Falcon Heavy boosters (B1023, B1025, and B1033) were in the same league as Block 5, their Block 2 and Block 3 hardware was designed for approximately 10% less thrust and are almost entirely different vehicles from the perspective of structures and avionics.
Perhaps even more importantly, it’s unknown whether Falcon Heavy Block 1 (for lack of a better descriptor) was designed with serious reusability in mind, at least in the same sense as Falcon 9 Block 5 was. For instance, a major portion of the rocket’s extreme complexity and difficulties lies in the basic need to transmit three times as much thrust through the center core. To do that and do it without rocket-powered separation mechanisms, SpaceX had to develop structural attachments and connections capable of surviving unbelievable mechanical and thermal stresses for minutes on end.
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- The first Falcon Heavy was a Frankenstein’s monster of sorts. (SpaceX)
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- Falcon Heavy is seen here lifting off during its spectacular launch debut. (SpaceX)
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- A Falcon Heavy side booster was spotted eastbound in Arizona on November 10th. (Reddit – beast-sam)
Clearly, this was an unfathomably difficult problem to solve in such a manner that Falcon Heavy would work at all the first time. Factor in the strategic need for those same components to survive repeated cycles of those stresses with minimal refurbishment in between and the problem at hand likely becomes a magnitude more difficult, at least. In large part, this helps to explain why there will end up being a minimum of 11-12 months between Falcon Heavy’s first and second launches.
Arabsat or STP?
Over the course of SpaceX’s last 2-3 years of commercial launch activity, the company and its customers have demonstrated time and time again a reliable pattern: commercial customers (in the sense of private entities) are far more willing to take risks with new technologies than SpaceX’s government customers. NASA’s Commercial Resupply Services is the exception for the latter group but also has no Falcon Heavy launch contracts. For Falcon Heavy, there are thus main three options at hand.
- Arabsat 6A launches first with 1-2 flight-proven boosters; the Air Force’s STP-2 mission flies on an all-new Falcon Heavy 4-6 months later.
- SpaceX builds entirely new Falcon Heavy rockets for both customers, requiring four new side boosters and two new center cores.
- STP-2 launches first on an all-new Falcon Heavy; Arabsat 6A launches second on the first flight-proven Falcon Heavy after 6+ months of additional delays.
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- The USAF’s STP-2, a combination of a few dozen different satellites. (USAF)
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- The communications satellite Arabsat-6A. (Lockheed Martin)
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- LZ-1 and LZ-2, circa February 2018. (SpaceX)
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- A closeup of one of Falcon Heavy’s side boosters after landing. (SpaceX)
Arabsat is far more likely to accept – for a significant discount – a ride aboard the first flight-proven Falcon Heavy, especially if it means preventing more major launch delays. If the Falcon Heavy side booster spotted eastbound last week is a refurbished Block 5 booster rather than a new rocket, than option 1 is the easy choice for most probable outcome. The real pack leader for Falcon Heavy Flight 2, however, will be the completion of a new Block 5 center core and its shipment to Texas for structural and static fire testing.
Time will tell. For now, a completed Falcon Heavy side booster is the best sign yet that SpaceX may manage the rocket’s second launch in the first quarter of 2019, whichever launch that may be.
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.
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
