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SpaceX delays Starlink launch after Falcon 9 static fire test
Around 10 am Pacific on November 17th, SpaceX test-fired one of its Falcon 9 rockets and announced that its next Starlink launch would follow as early as Friday, November 18th. Seven hours later, SpaceX canceled those plans, stating that it needed “to take a closer look at data” gathered during the test.
Next Spaceflight reports that Falcon 9 booster B1061 is assigned to the launch, making it responsible for the static fire portion of Thursday’s launch rehearsal. B1061 is one of six Falcon boosters that has completed ten launches and will become either the fourth or fifth to launch 11 times (or more) when it launches SpaceX’s Starlink 2-4 mission. But after SpaceX’s unusual post-test announcement, the rocket and its Starlink payload will have to wait indefinitely while the company determines how to proceed.
It’s not the first time SpaceX has delayed a launch indefinitely after a static fire test, but it is the first time in years. SpaceX semi-regularly stands down from launch attempts to conduct inspections or complete minor repairs or component replacements when data is amiss or contradictory, but those plans tend to mention the next launch target. This time, even SpaceX’s website has been scrubbed to say that “a new target launch date [will be announced] once confirmed.”
The last time a prelaunch static fire was explicitly blamed for a launch delay was in August 2019, when SpaceX fired up a Falcon 9 rocket ahead of its Amos-17 launch, didn’t like what it saw, decided to replace a valve on the booster, and then conducted a second static fire test to clear the rocket to launch. It’s possible that Starlink 2-4’s sequence of events will end up being similar.
Airspace closures indicate that Starlink 2-4 had already been delayed multiple times, missing targets on November 16th and 17th to November 18th.
Whenever it does launch, Starlink 2-4 will be SpaceX’s 65th operational Starlink mission, and is scheduled to add another 52 Starlink V1.5 satellites to the constellation’s Group 2 shell. Group 2 is the third largest of five shells that make up SpaceX’s first 4408-satellite Starlink constellation and will have 720 satellites once completed. SpaceX has nearly finished two main 1584-satellite shells that orbit over Earth’s mid-latitudes. It’s also begun launching one of two smaller shells (Group 3 and 5) that orbit Earth’s poles. Group 2 splits the difference with an orbit inclined 70 degrees relative to Earth’s equator.
According to data collated by astrophysicist Jonathan McDowell, and assuming that SpaceX intends to have as many satellites in orbit as possible, Group 1 and Group 4 appear to be four or five launches away from completion. Group 3 and 5 require eight more launches. Including Starlink 2-4, Group 2 will take another 13 launches. Barring surprises, SpaceX has approximately 25 launches left to complete its first Starlink constellation. In the first ten months of 2022, SpaceX launched 32 operational Starlink missions, and its launch cadence has increased throughout the year, boding well for the constellation’s completion by mid-to-late 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
