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SpaceX schedules first East Coast Starlink launch in half a year
In just a few days, SpaceX’s next Starlink mission has gone from a complete mystery to a firm launch date.
Set to be SpaceX’s first Starlink launch in almost two months and first East Coast Starlink mission in almost half a year, the launch effectively came out of nowhere with a single week’s warning. For mostly unknown reasons, after completing an unprecedented 13 Starlink launches carrying almost 1000 satellites into orbit in the first five months of 2021, SpaceX has launched just one more batch of Starlink satellites in the last five months. Initially, mid-year, a brief delay of a month or two was expected as SpaceX prepared to debut the next generation of Starlink satellites on the West Coast.
Without explanation, that pause soon ballooned to four months and Starlink launches from Florida unexpectedly ceased in the meantime. Finally, on September 14th, SpaceX completed its first dedicated West Coast Starlink launch, delivering the first 51 new laser-linked Starlink V1.5 satellites to orbit. Again, oddities continued to abound in October as a second West Coast Starlink launch initially scheduled mid-month was delayed indefinitely – and remains so almost a month later.
As of just a few days ago, SpaceX still had no Starlink missions with firm launch dates. However, on November 4th, a sooty Falcon 9 booster (B1062) with a shiny new second stage attached was spotted rolling down Kennedy Space Center (KSC) road on its way to SpaceX’s other Cape Canaveral LC-40 pad. Given that Pad 39A was already occupied with a Falcon 9 rocket and Crew Dragon spacecraft scheduled to launch four astronauts as early as November 10th and that the next mission clearly on SpaceX’s East Coast manifest was more than a month away, a surprise Starlink mission was the only obvious explanation.
Indeed, just a day after that surprise rocket transport, hazard areas published by the Cape Canaveral’s 45th Space Wing confirmed that SpaceX had scheduled a Starlink launch no earlier than (NET) 7-8am EST (12-13:00 UTC) on Friday, November 12th. Oddly, instead of the polar “Starlink 2-2” launch most observers were expecting, the range hazard area announcement was for a mission called “Starlink 4-1,” raising further questions about SpaceX’s new naming scheme.
In simple terms, the first ~4400-satellite phase of SpaceX’s Starlink constellation is split into five groups of satellites – known as shells – with different orbital altitudes and inclinations (the orbit’s tilt). In May, SpaceX’s most recent East Coast Starlink launch effectively completed the first of those five shells. With Starlink V1.5’s September debut, SpaceX also debuted a new naming scheme, deeming the mission Starlink 2-1 – the first launch of the second shell. Based on the inclination implied in Starlink 4-1’s hazard warning, Shell 4 refers to a second group of 1584 satellites almost identical to Shell 1, while Shell 2 is a semi-polar group of 720 satellites. That means that Shells 3 and 5 are sets of either 340 or 158 satellites at slightly different altitudes in polar orbit and will likely be the last Phase 1 Starlink satellites SpaceX launches.
Unlike Shell 1’s Starlink V1.0 satellites, Shell 4 is expected to use Starlink V1.5 satellites with laser interlinks that will eventually allow the constellation to route communications entirely in orbit, limiting the need for ground stations that are both expensive and a bureaucratic nightmare to construct and operate.
Serving as a final confirmation of the imminent Starlink launch, SpaceX service ship Bob departed Port Canaveral with drone ship A Shortfall of Gravitas (ASOG) under tow on November 7th, joining drone ship Just Read The Instructions – already at sea for Crew-3 booster recovery.
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
