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SpaceX ready for 31st Starlink launch of 2022
SpaceX is on track to launch its 31st Starlink mission of 2022 later this morning.
No earlier than (NET) 10:50 am EDT (14:50 UTC) on Thursday, October 20th, a Falcon 9 rocket is scheduled to lift off from SpaceX’s Cape Canaveral Air Force Station (CCAFS) LC-40 launch pad with 54 internet satellites in tow. Weighing in at 16.75 tons (~36,900 lb), the batch of Starlink V1.5 satellites is one of just a few left for SpaceX to complete the second of five ‘shells’ that make up its first constellation.
Even before today’s Starlink 4-36 launch, more than two-thirds of the 4408 satellites required to complete the constellation are already in orbit and (by all appearances) working as expected. Of the 3131 working satellites in orbit, approximately 2700 are at their operational altitudes and theoretically capable of serving customers on Earth. Another ~390 satellites are in the process of climbing to their operational orbits. Once they’re done, SpaceX’s first Starlink constellation will be more than two-thirds complete.
The constellation is made up of five orbital ‘shells’ – distinct groups of satellites that share a similar orbital inclination (the angle between the satellite’s orbit and Earth’s equator) and altitude. Two of those shells, known as Group 1 and Group 4, contain 3168 satellites or more than two-thirds of the constellation. They’re nearly identical and focus on Earth’s mid-latitudes, where almost every person (and customer) on Earth resides. Both are almost complete: astrophysicist Jonathan McDowell estimates that 1456 of 1584 possible Group 1 satellites are operational. Group 4 is one launch behind, with about 1405 working satellites in orbit.
In addition to Starlink 4-36, SpaceX has one more Starlink launch (4-31) tentatively scheduled in late October. The company’s November manifest is jam-packed with up to five commercial launches, potentially precluding any additional Starlink launches next month. December could be an even more commercially productive month if just a handful of schedules hold. But there’s a chance that SpaceX will find space to complete two more Starlink launches within the next ten weeks, allowing it to nearly complete Group 4 by the end of the year.
Once #4 is complete, all future launches for SpaceX’s first-generation Starlink constellation will likely head to one of three shells with semi-polar or polar inclinations. Group 2, the largest of the remaining shells with a planned 720 satellites, can be launched from any of SpaceX’s three pads. SpaceX has already launched one batch of Group 2 satellites and will need to complete ~13 more launches to finish the shell. Finally, more than half of Group 3’s 348 satellites have already been launched, but SpaceX has yet to start Group 5 (172 satellites). Both Group 3 and Group 5 will likely be launched out of SpaceX’s California launch pad.
Including an allowance for several dozen on-orbit satellite failures over the same period, SpaceX’s first Starlink constellation thus appears to be about 23 launches away from completion. If SpaceX matches its 2022 cadence in 2023, the entire 4408-satellite constellation could be fully operational before the end of next year. If SpaceX can hit its target of 100 total launches in 2023, the first Starlink constellation could be fully operational months before the end of 2023.
Even with a third of its satellites still on the ground, Starlink is close to an order of magnitude larger than any other constellation in history. Confirming an estimate shared by Teslarati earlier this year, CEO Elon Musk says that SpaceX now owns and operates more than half of all active satellites in orbit less than three years after the company began operational Starlink launches.
Tune in below to watch SpaceX’s 31st Starlink mission and 48th launch this year.
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
