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SpaceX targeting Starlink launch, Starship static fire in 24-hour period
Update: SpaceX has scrubbed Falcon 9’s Starlink 4-1 due to unfavorable weather both at Cape Canaveral and downrange in the Atlantic Ocean. The next available launch opportunity is 7:19am EST (12:19 UTC), November 13th, with forecasts showing an 80% chance of favorable weather – up from 60% for Friday.
The window for Starship S20’s third static fire is now open and while no preparations for the test are visible as of yet, SpaceX has until 2pm CST (20:00 UTC).
SpaceX is scheduled to attempt Falcon 9’s next East Coast Starlink launch and a record-breaking Starship static fire less than eight hours apart on Friday, November 12th.
Barring delays or operational constraints, both of which are fairly likely, that Starship static fire and Starlink launch could technically happen just an hour or two apart. After nearly two weeks of mysterious delays, Starship S20 – SpaceX’s first orbital-class prototype – could easily run into more issues. Nevertheless, after a false-start on November 10th, Ship 20 is currently scheduled to attempt to fire up Raptor engines for the third time between 6am and 2pm CST (12-18:00 UTC).
A thousand miles (~1600 km) east of Boca Chica, Texas, a well-worn Falcon 9 booster is vertical at SpaceX’s Cape Canaveral LC-40 facilities for the company’s first dedicated Florida Starlink launch since May 26th. Weather is about 60% favorable for the ‘Starlink 4-1’ mission, which is set to lift off at 7:40am EST (12:40 UTC).
Unexpectedly, despite the surprise appearance of Falcon 9 booster B1062 – (already attached to a new upper stage) earlier this month, SpaceX has assigned a different rocket to launch Starlink 4-1. Instead of B1062, SpaceX’s first full East Coast batch of laser-linked Starlink V1.5 satellites will be carried into space on Falcon 9 B1058 as part of the booster’s 9th orbital-class launch in less than 18 months. As is now routine, the mission will also launch with two flight-proven fairing halves.
Back in Boca Chica, SpaceX could technically fire up its first orbital Starship prototype less than an hour later. While a test early in the window would be extraordinarily rare, it’s not unprecedented. Generally speaking, from the start of the road closure (no earlier than 6am CST), it takes at least an hour or two to prime pad hardware and load Starship with propellant, meaning that Starship S20’s third static fire is unlikely to occur before 7:30-8am CST (8:30-9am EST).
Depending on what SpaceX goes for, it could arguably also be the most ambitious ground test the company has ever attempted in South Texas. After an oddly long multiweek process, Ship 20 has been outfitted with a full six operational Raptor engines and there’s a real chance that SpaceX intends to fire up all six tomorrow. As of now, SpaceX has never fired more than three Raptor engines on a Starship or Super Heavy prototype, making a six-engine test at least twice as stressful as any test prior for both the pad and rocket. Even at their minimum throttle settings, Starship S20’s six Raptors would likely produce more than 600 tons (1.3M lbf) of thrust, while all six at full thrust (~1100 tons or 2.45M lbf) would briefly make Starship almost 50% more powerful than a Falcon 9 at liftoff.
As usual, there will be no official SpaceX webcast for Starship S20’s possible static fire attempt and delays are more likely than not. Unofficial streams from NASASpaceflight and others are the best place to watch.
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
