SpaceX has completed its 21st Falcon 9 launch of 2022, continuing an impressive average cadence of more than one launch per week.
After an unexplained 40-minute delay from 6:20 am EDT, former Falcon Heavy booster B1052 lifted off from Kennedy Space Center Launch Complex 39A shortly after sunrise at 6:59 am EDT (10:59 UTC) on Wednesday, May 18th. Carrying its second batch of Starlink satellites on its third mission as a Falcon 9 boosters and fifth launch overall, Falcon B1052 performed flawlessly, safely carrying a reused Falcon fairing, expendable upper stage, and stack of 53 Starlink satellites most of the way free of Earth’s atmosphere.
B1052 then separated and coasted back to Earth as Falcon 9’s upper stage continued to orbit. About nine minutes after liftoff, the booster touched down on drone ship A Shortfall of Gravitas (ASOG) and the upper stage reached a safe parking orbit, marking the premature end of SpaceX’s official webcast. Starlink satellite deployment – typically anywhere from 20 to 60 minutes after liftoff – now occurs off-camera, with only a slight vocal confirmation and a tweet from SpaceX to verify the most important part of each mission.
Looking beyond the bounds of calendar years, Starlink 4-18 is SpaceX’s 28th successful launch since November 11th, 2021 – a period of six months and seven days or 27 weeks. In other words, SpaceX is already more than half of the way to demonstrating a sustained cadence of one launch per week over a full 12 months, leaving little doubt that the company has the ability to achieve CEO Elon Musk’s lesser goal of 52 launches in 2022. The company’s launch teams, processing facilities, launch pads, Falcon production, and fleets of reusable boosters and fairings have proven themselves fully capable.
The only remaining uncertainty stems from reliability and unknown unknowns. Even the most reliable rocket in the world is a highly complex system that can still fail in thousands of unique ways. After an impressive streak of 130 consecutively successful launch campaigns, Falcon 9 is by some measures the most reliable launch vehicle still in operation. As early as June 2022, however, Falcon 9 will have an opportunity to set the record for most consecutive successes of any rocket in history when it attempts to launch without fail for the 134th time in a row. For now, Russia’s R-7 or Soyuz family of rockets – which have launched close to 2000 times since 1966 – hold the current record of 133 consecutive successes. Technically, if one considers Falcon 9 and Falcon Heavy part of the same family, R-7/Soyuz and Falcon are now tied with records of 133 consecutive successes.
However, the differences between Falcon 9 and Falcon Heavy far exceed the relatively small differences between the many slight R-7/Soyuz variations. Given that the variants of Falcon 9 rockets that began SpaceX’s current streak of success in January 2017 were significantly different than those flying today, the full R-7/Soyuz family and Falcon 9 are more directly and fairly comparable than they might initially appear.
Regardless, SpaceX will have accomplished an extraordinary feat if Falcon 9 does complete its 134th successful launch in a row sometime next month. But simultaneously, R-7’s 133-launch record serves as a reminder that at one point in history, an entirely different rocket family that had been averaging more than one launch per week for almost a decade still failed after 133 successful launches. Modern airliners serve as another good reminder of the inherent instability of complex artificial mechanisms: even though they are statistically one of the safest forms of mass transit humans have ever created, they still occasionally crash.
To assume any such system has become immune to failure after a number of successes is to tempt fate. Nonetheless, with the qualification that there are no guarantees, SpaceX’s performance over the last five years significantly raises confidence in the company’s ability to continue executing and completing orbital launches at a rapid pace throughout 2022 (and beyond) without failure.
Beyond Starlink 4-18, SpaceX is scheduled to launch its own Transporter-5 rideshare mission as early as May 25th, Cargo Dragon’s CRS-25 space station supply mission on June 7th, Egypt’s Nilesat-301 communications satellite on June 10th, and a number of other unspecified commercial launches and Starlink missions in June and July.
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
