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SpaceX assembles Falcon Heavy rocket for first launch in 40 months
SpaceX has assembled the fourth Falcon Heavy for the rocket’s first launch in 40 months.
A photo shared by SpaceX on October 23rd shows that it has mated Falcon Heavy’s three first stage boosters together while preparing for prelaunch testing. Simultaneously, workers have completed the equally important task of converting 39A’s transporter/erector (T/E), which has been configured for single-core Falcon 9 rockets for over three years.
The transporter/erectors SpaceX use for all Falcon launches are a bit like a mobile backbone and launch tower combined. Their first purpose is to transport horizontal Falcon rockets to and from their integration hangars and launch pads. They’re also tasked with raising Falcon rockets vertical and lowering them back down for transport or worker access. Most importantly, they connect to a pad’s ground systems and distribute propellant, gases, power, and communications to Falcon 9 and Falcon Heavy through multiple umbilicals and quick-disconnect ports.
Falcon Heavy, which can only be launched out of LC-39A, has three times as many boosters as Falcon 9 and necessitates significant modifications to the pad’s T/E when switching between the two. The process is much harder when moving from F9 to FH, and waiting almost three and a half years between Falcon Heavy launches likely hasn’t made the conversion any easier. But on October 23rd, after numerous tests and weeks of work, the Pad 39A T/E picked up the ‘reaction frame’ that attaches to the bottom of Falcon rockets and was brought horizontal.
Thanks to the nature of Falcon Heavy and Pad 39A’s infrastructure, what happens next is more or less guaranteed. During normal Falcon 9 operations, 39A’s integration hangar is large enough for two or three unrelated Falcon boosters to remain while the T/E rolls inside to pick up a full Falcon 9. More importantly, Falcon 9’s booster and upper stage can technically be integrated off to the side and craned onto the T/E when ready. But with Falcon Heavy, which has a first stage akin to three Falcon 9 boosters sitting side by side, there isn’t enough room inside the hangar to integrate the rocket with the T/E inside.
For Falcon Heavy, the T/E can thus only roll back into the hangar once the rocket’s three boosters and upper stage have been fully assembled and are suspended in mid-air. SpaceX’s October 23rd photo shows that three of the four cranes required for that lift appear to already be in position, further confirming that T/E rollback is imminent. Once the T/E rolls back to the hangar and Falcon Heavy is attached, the rocket will eventually be transported to the pad and brought vertical for wet dress rehearsal (WDR) and static fire testing.
Update: SpaceX began rolling the T/E to Pad 39A’s integration hangar around 1 am EDT, October 24th.
The US Space Force’s USSF-44 payload – a mysterious pair of satellites that are more than two years behind schedule – will almost certainly not be installed on Falcon Heavy during prelaunch testing, so the rocket will need to roll back to the hangar at least one more time after testing to have its payload fairing attached.
Combined, that prelaunch process could easily take a week or more. Multiple sources report that Falcon Heavy is scheduled to launch no earlier than (NET) 9:44 am EDT (13:44 UTC) on Halloween, October 31st. But even if the rocket rolls out today (Oct 24), the odds are stacked against Falcon Heavy sailing through its first integrated prelaunch tests in 40 months, and delays are likely.
For Falcon Heavy’s fourth launch, all three of the rocket’s boosters – B1064, B1065, and B1066 – are new, as are its upper stage and payload fairing. An FCC permit for the launch has confirmed that SpaceX will intentionally expend the rocket’s new center core while its twin side boosters will attempt a near-simultaneous landing back at Cape Canaveral. USSF-44 will be SpaceX’s first attempted launch directly to geostationary orbit (GEO), an exceptionally challenging mission that requires the rocket’s upper stage to coast in space for around 4-6 hours between two major burns.
If successful, Falcon Heavy will insert the USSF-44’s mystery satellites into a circular orbit ~35,600 kilometers (~22,150 mi) above Earth’s surface. At that altitude, orbital velocity matches Earth’s rotation and spacecraft can effectively hover – indefinitely – above their region of choice.
Falcon Heavy is the most powerful operational rocket in the world. At liftoff, it weighs around 1420 tons (~3.1M lb) and can produce more than 2300 tons (~5.1M lbf) of thrust. In a fully expendable configuration, Falcon Heavy can launch 26.7 tons (59,000 lb) to an elliptical geostationary transfer orbit and 63.8 tons (141,000 lb) to low Earth orbit. SpaceX doesn’t advertise its direct-to-GEO capabilities.
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
