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SpaceX preparing salvo of polar Starlink launches from West and East coasts
SpaceX has unexpectedly filed regulatory documents requesting permission to perform at least half a dozen polar Starlink satellite launches from its East Coast facilities, hinting at a two-pronged approach as work continues to reactive SpaceX’s lone West Coast launch pad.
Known as Space Launch Complex 4 (SLC-4), SpaceX last used its Vandenberg Air/Space Force Base (VAFB) pad to launch a joint primarily European Earth observation satellite in November 2020 – itself the site’s first launch since June 2019. In April 2021, comments made by SpaceX President and COO Gwynne Shotwell revealed plans to return its VAFB site to active use as early as “summer” 2021 – July, in other words.
Over the next two months, a new Port of Long Beach lease for West Coast drone ship operations, FCC launch application requests, and the westbound shipment of a Falcon 9 booster strongly supported Shotwell’s claim. Most recently, drone ship Of Course I Still Love You (OCISLY) completed the first leg of its journey from Florida to California, arriving at the Panama Canal’s Atlantic locks on June 20th. That progress has all but guaranteed that SpaceX’s West Coast launch resurgence will have a drone ship to support booster recoveries – pad, rocket, and satellites permitting – well before the end of July.
Now, though, new SpaceX FCC permit applications suggest that the company intends to begin dedicated polar launches from the East Coast as early as July 26th. That means that SpaceX could theoretically complete its first two dedicated polar Starlink launches next month if things go smoothly. Given that SpaceX’s East Coast launch facilities are already active and have been running like a well-oiled machine over the last ~12 months, plans to simultaneously begin polar Starlink launches from the East and West coasts could also serve as a hedge against any delays that might crop up while reactivating SLC-4E.
In the event of delays, SpaceX would thus still have a feasible path to complete its first dedicated polar Starlink launch before the end of the month, potentially leaving it on track to complete around a dozen such missions before the end of the year.
Just last month, Starlink passed a major milestone with SpaceX’s 28th successful launch of v1.0 satellites, effectively completing the constellation’s first orbital ‘shell’ of ~1600 spacecraft. Technically, around 1100 of those satellites are operational and the other ~530 are still in the processing of boosting themselves to their final orbits, but that’s just a matter of time. Once all of spacecraft already in orbit complete that process, the Starlink constellation will be able to deliver uninterrupted internet to almost anybody on Earth.
Another identical semi-equatorial batch of ~1584 satellites is planned to flesh out the Starlink Phase 1 constellation and improve bandwidth density but to achieve true global coverage, another ~1250 polar Starlink satellites are necessary. In Starlink’s first ~4400-satellite phase, those polar-orbiting spacecraft are split between three ‘shells’ with slightly different orbits and inclinations to increase the breadth of their coverage as much as possible. Notably, polar Starlink satellites will offer truly uninterrupted coverage anywhere on Earth – not just land-based users outside of polar latitudes.
With laser interlinks installed, those polar satellites will also allow Starlink to break into the lucrative in-flight and maritime communications markets and serve unprecedentedly high-quality internet to people in the air and at sea. They’ll also open up Starlink to many of the four million or so people living in the Arctic Circle.
While East Coast polar Starlink launches will be less efficient and likely have to carry fewer satellites, simultaneously flying from the East and West Coast could allow SpaceX to launch the constellation’s ~1250 polar satellites in just 12-18 months while still performing regular equatorial launches at the same time.
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.”
News
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
