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SpaceX Falcon 9 booster could be first to launch from all 3 company pads
A week after its original launch target, SpaceX launch engineers and technicians appear to have completed an additional suite of preflight checks that triggered an unusually long delay from November 19 to November 28.
As a sort of happy accident, the mission – a Spaceflight Industries rideshare carrying ~64 satellites – will not only be the first time SpaceX has launched a given Falcon 9 booster three times, but it will also become the first time SpaceX has launched the same Falcon 9 booster from all three of the company’s orbital launch facilities.
Standing down from Monday’s launch attempt of Spaceflight SSO-A: SmallSat Express to conduct additional pre-flight inspections. Once complete, we will confirm a new launch date.
— SpaceX (@SpaceX) November 17, 2018
Likely a matter of caution over expediency, that extra time was used to make sure that the mission’s twice-flown Falcon 9 B1046 booster is as ready as possible for its third launch, a subtle but absolutely critical milestone for Falcon 9 reusability. More importantly, from an operational standpoint, this is something that the company has simply never attempted, meaning that while it’s similar in concept to the numerous booster reuses SpaceX engineers and technicians have already pulled off, every aspect of B1046’s refurbishment and preparation for another launch is new territory for all.
In this sense, even the most minor observations and procedural developments are likely being documented with extreme care, paving the way for the systematic refurbishment of Block 5 boosters with 2+ launches on their manifest. Similar to how car mechanics know to look at and for dramatically different things depending on the age of the car and the time since its last maintenance, reusable rockets are likely to require an even more exotic and unintuitive approach to multi-flight maintenance and repair diagnostics. As such, it should come as little surprise that SpaceX chose to delay SSO-A a few days to ensure that the rocket is ready to safely place its payload in orbit.
Vandenberg Air Force Base SLC-4 looked great yesterday, Nov. 26, from the orbit of #DEIMOS2! Good luck @SpaceX for tomorrow's launch! 🚀 #KazSTSAT #Falcon9 pic.twitter.com/q2NmKv3k0c
— Deimos Imaging (@deimosimaging) November 27, 2018
Pecking orders
Aside from the extreme importance of its third launch, Falcon 9 B1046 will be subject to another rather unique situation. Barely a mile or two northeast of SpaceX’s SLC-4 launch complex, a ULA Delta IV Heavy rocket is assembled and nearly ready to place the National Reconnaissance Office’s classified NROL-71 satellite into a high-energy Earth orbit. If the extraordinarily expensive launch vehicle (~$350-400M) it sits atop of is any sign, NROL-71 is a massive satellite that cost the NRO anywhere from $500M to $2B to design, procure, and prepare for launch.
In other words, the sheer capital at risk has likely resulted in a bit of manifest and range jockeying between Falcon 9/SpaceX and Delta Heavy/ULA/NRO. Under normal circumstances, Falcon 9 B1046 could without a doubt perform a Return-To-Launch-Site (RTLS) recovery, sending the booster all the back to SLC-4 for a landing at LZ-4.
https://www.instagram.com/p/BqoCpFulAAx/
Instead, likely prevented from landing at LZ-4 due to the slight chance that Falcon 9 could impact at or around ULA’s launch pad in an off-nominal situation, SpaceX has decided to station drone ship Just Read The Instructions less than 30 miles (50 km) off the coast of Vandenberg Air Force Base. In this odd and unused landing mode, Falcon 9 will perform a sort of RTLS Lite, returning back in the direction of the launch site but not going far enough to actually reach it.
In doing so, B1046 will – fingers crossed – become the first Falcon 9 booster to land on both SpaceX drone ships and launch from all three of the company’s orbital facilities, LC-40 (Cape Canaveral Air Force Station), LC-39A (Kennedy Space Center), and SLC-4 (Vandenberg Air Force Base).
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
