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SpaceX aces 60th orbital launch of 2022
SpaceX has completed its 60th orbital launch of 2022, marking the first time the company has fully hit a public cadence target set by one of its executives.
By every possible measure, 2022 has been a groundbreaking year for SpaceX even when considering the vast list of achievements it’s racked up over the last half-decade. It owns and operates the largest satellite constellation in history by an order of magnitude. Its Starlink satellite internet service has secured more than a million subscribers less than two years after entering beta. It operates the only routinely reusable orbital-class rockets and orbital spacecraft currently in service. Its Falcon 9 workhorse has launched more in one year than any other single rocket in history. It’s regularly launching at a pace that hasn’t been sustained by any one country – let alone a single company – in 40 years. It’s managing that near-historic cadence while simultaneously recovering and reusing boosters and fairings that represent some 70% of the value of almost every rocket it launches.
And now, SpaceX can also proudly show that it was able to hit a launch cadence target that seemed impossibly ambitious when CEO Elon Musk first shared it nine months ago.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Exactly nine months later, SpaceX has just completed its 60th launch of 2022. 69 days after its last orbital-class launch, Falcon 9 booster lifted off for the 11th time with a somewhat mysterious batch of 54 Starlink satellites. A bit less than nine minutes after liftoff, B1062 touched down 660 kilometers (410 mi) downrange on SpaceX drone ship A Shortfall Of Gravitas (ASOG). Seconds prior, Falcon 9’s expendable upper stage reached orbit, shut down its lone Merlin Vacuum engine, and began slowly spinning itself end over end.
Nineteen minutes after leaving the ground, the stack of 54 Starlink satellites was released all at once, slowly spreading out like a splayed deck of cards. Over the coming hours, days, and weeks, those satellites will naturally spread out, deploy solar arrays, stabilize their attitudes, test their payloads, and begin climbing toward an operational orbit somewhere between 480 and 580 kilometers (300-360 mi) above Earth’s surface.
As previously discussed, SpaceX’s so-called “Starlink 5-1” mission raises a number of questions that the company’s launch webcast and communications unfortunately failed to answer. First and foremost, the “5-1” name is nonsensical. The only information SpaceX did disclose about the mission is that it’s the “first [launch] of Starlink’s upgraded network…under [a] new license,” implying – but not actually confirming – that “Starlink 5-1” is the first launch for the Starlink Gen2 constellation.
The orbit the launch targeted only matches one of the Gen2 ‘shells’ the US Federal Communications Commission (FCC) recently approved. Using a naming scheme that’s been consistent for a year and a half, “5-1” implies that the mission is the first launch of Starlink Gen1’s fifth ‘shell’ or group, which the orbit it was actually launched to explicitly makes impossible. It’s very odd that SpaceX did not explicitly call the mission what it actually is: the first launch of an entirely new Starlink Gen2 constellation. The name ultimately doesn’t matter much, but is now likely to create confusion given that SpaceX’s Starlink Gen1 constellation has a fifth shell that may begin launches in the near future.
Additionally, outside of a single obscure FCC filing submitted two months ago, it’s long been stated and implied that the Starlink Gen2 constellation’s main advantage over Gen1 was the much larger size of the Gen2/V2 satellites. But the satellites launched on “Starlink 5-1” appear to be virtually identical to all recent Starlink V1.5 satellites, which CEO Elon Musk once suggested were so cost-inefficient that they could risk bankrupting SpaceX in November 2021.
There is one obvious explanation for why SpaceX would launch ordinary Starlink V1.5 satellites in place of the larger V2 variants that will supposedly make the internet constellation more financially sustainable: a desire to add new customers as quickly as possible, no matter the relative cost. While a much smaller V1.5 satellite likely offers around 3-8 times less usable bandwidth than one of the larger V2 variants SpaceX is developing, it may still be true that a V1.5 satellite is better than nothing while larger V2 satellites are stuck behind development delays or waiting on SpaceX’s next-generation Starship rocket.
SpaceX will almost certainly want to replace any V1.5 satellites with V2 satellites when the opportunity arises, but in the meantime, V1.5 satellites launched as part of the Gen2 constellation may technically allow SpaceX to temporarily double the amount of bandwidth available where most people (and Starlink customers) live. Ultimately, that means that it makes a lot of sense for SpaceX to prioritize Gen2 launches. It doesn’t appear that SpaceX will go that far, but the Starlink Gen1 constellation is so far along that the company could easily leave the constellation as-is and prioritize Gen2 Falcon 9 launches for all of 2023 without risking an FCC penalty. SpaceX simply needs to finish its Gen1 constellation before April 2027 to avoid breaking those rules.
Instead, it looks like SpaceX will roughly split its launch and V1.5 satellite manufacturing capacity between Starlink Gen1 and Gen2 moving forward. That will let SpaceX significantly expand bandwidth where most customers live while also finishing the polar-orbiting Gen1 shells that will let the older constellation better serve maritime and aviation subscribers, and reach Starlink’s most remote customers.
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
