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SpaceX Falcon Heavy rocket passes static fire test three years in the making
After knocking out some figurative cobwebs, SpaceX has test-fired a Falcon Heavy rocket for the first time since June 2019.
Shortly before the static fire, NASASpaceflight’s Thomas Burghardt reported that Falcon Heavy’s first launch in 40 months – a mission for the US Space Force known as USSF-44 – had slipped from October 28th and October 31st to no earlier than (NET) 9:40 am EDT (13:40 UTC), Tuesday, November 1st. USSF-44 will be Falcon Heavy’s fourth launch since February 2018.
During its 10-second October 27th static fire, Falcon Heavy – the most capable rocket currently operational – appeared to ignite all 27 of its first stage’s Merlin 1D engines, likely producing up to 2350 tons (5.18 million lbf) of thrust. Only three liquid-powered rockets (N1, Saturn V, & Energia) and one rocket augmented by solid rocket boosters (the Space Shuttle) have produced more thrust at sea level, and the most recently active of those four vehicles (NASA’s Space Shuttle) was permanently retired in 2011.
NASA’s Space Launch System (SLS) rocket will retake the crown when it (hopefully) debuts later this year, but Falcon Heavy will remain the most powerful commercially-available rocket until SpaceX’s own Starship debuts. After Starship debuts later this year or early next, Falcon Heavy will continue on as the second most powerful commercial rocket for the indefinite future.
After more than three years of downtime, SpaceX unsurprisingly appeared to run into minor issues while preparing Falcon Heavy for a full wet dress rehearsal and static fire. SpaceX rolled the rocket – sans payload fairing – out to the launch pad late on October 25th, at which point the launch target had already slipped to October 31st. Falcon Heavy then sat horizontally for about 30 hours before SpaceX raised it vertical and fully attached the rocket and transporter/erector to the pad’s ground systems.
Another 12 hours of work later, SpaceX was ready to begin static fire test operations, and Falcon Heavy fired up at 8 pm EDT on October 27th, 50 hours after it rolled out. During Falcon 9’s most recent satellite launch out of Pad 39A, the rocket lifted off about 30 hours after rollout. While preparing for Falcon Heavy Block 5’s first launch (Flight 2 overall) in April 2019, the rocket went vertical 12 hours after rollout – 18 hours faster than Flight 4. Ahead of Flight 3 in June 2019, Falcon Heavy completed a static fire test 25 hours after rolling out – 25 hours faster than Flight 4.
Before it can launch, Falcon Heavy will have to return to LC-39A’s hangar to have its fairing (containing two classified USSF-44 satellites) installed and then return to the pad, repeating the rollout process. Falcon Heavy Flight 3 holds the record (5d 4h) for the shortest gap between a static fire and launch. Falcon Heavy’s updated launch target is 4 days and 14 hours after its static fire, meaning that SpaceX will have to break that record to launch USSF-44 as planned.
Update: The USSF-44 payload fairing – satellites safely encapsulated inside it – headed to Pad 39A less than four hours after Falcon Heavy Flight 4’s static fire.
Regardless, with a successful static fire under its belt, Falcon Heavy’s fourth launch is now all but guaranteed to occur within the next 5-10 days. The rocket’s fifth launch – carrying ViaSat’s first ViaSat-3 communications satellite – could follow as early as December 2022, and another four Falcon Heavy launches are currently scheduled between January and August 2023.
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
