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SpaceX Falcon rocket aces 100th consecutive rocket landing
SpaceX has successfully launched its first batch of next-generation Starlink V2 satellites, likely kicking off a new era of affordability for the constellation.
Simultaneously, demonstrating just how far SpaceX is ahead of its competitors and the rest of the spacefaring world, the Starlink 6-1 launch culminated in the 100th consecutively successful landing of a Falcon rocket booster. As a result, SpaceX’s landing reliability now rivals the launch reliability of some of the most reliable rockets ever flown. That extraordinary feat bodes well for SpaceX’s next-generation Starship rocket, which is designed to propulsively land humans on the Earth, Moon, Mars, and beyond.
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
SpaceX’s landing reliability milestone is made all the more impressive by the lack of immediate competition. More than seven years after SpaceX’s first successful Falcon 9 booster landing and six years after the company’s first successful Falcon booster reuse, Falcon 9 and Falcon Heavy are still the only reusable orbital-class rockets in operation.
Blue Origin has had some success reusing the first stage of its suborbital New Shepard rocket. Rocket Lab has also recovered small Electron rocket boosters from the ocean, but it’s yet to catch a booster with a helicopter – a necessity for cost-effective reuse. Many other companies have announced or begun developing their own partially or fully-reusable rockets. But even in a best-case scenario, the most promising of those potentially competitive rockets are still a year or two from their first launch attempts, let alone their first successful recoveries and reuses.
SpaceX debuted the Falcon 9 rocket behind most of its successful booster recoveries and reuses in June 2010. SpaceX recovered a Falcon 9 booster for the first time in December 2015 and reused a (different) booster for the first time in March 2017. It completed nearly all of that risky development work during launches for paying customers.
Even after the first success, many unsuccessful landing attempts followed as SpaceX pushed the performance envelope and discovered new failure modes. Falcon’s most recent landing failure occurred during a Starlink launch in February 2021 and was caused by a hole in a flexible ‘skirt’ meant to keep Earth’s superheated atmosphere out of the flight-proven booster’s engine section.
However, every landing since Falcon 9’s Starlink-19 landing failure has been successful. On February 27th, 2023, almost exactly two years after that failure, Falcon 9 booster B1076 touched down on one of SpaceX’s three drone ships, marking the rocket family’s 100th consecutively successful landing. Starlink 6-1 was also the Falcon family’s 183rd consecutively successful launch, as a Falcon landing failure has never prevented the completion of a mission’s primary objective.
Launch-wise, Falcon 9 and the Falcon family have already become the most statistically reliable rockets in history. Very few rockets in history have managed 100 consecutively successful launches, let alone landings. For example, according to spaceflight reporter Alejandro Romera, the next most reliable American rocket – the McDonnell Douglas Delta II – narrowly achieved 100 consecutively successful launches before its retirement in 2018. The landing reliability of SpaceX’s Falcon rockets is thus tied with the launch reliability of the most reliable American rocket not built by SpaceX.
Additionally, SpaceX Falcon booster landings are now statistically more reliable than the launches of United Launch Alliance’s much-touted Atlas V rocket, which has (more or less) successfully launched 97 times.
Falcon’s landing reliability is an encouraging sign for SpaceX’s next-generation Starship rocket. For Starship to fully achieve SpaceX’s goals, it will eventually need to be able to propulsively land humans on Earth and at other destinations throughout the solar system. SpaceX currently has no plans no plans to develop an independent crew escape system for Starship, meaning that the rocket itself will instead have to demonstrate extraordinary overall reliability. SpaceX executives have stated that Starship will only be deemed safe enough to launch humans once it has completed “hundreds” of successful launches and, presumably, landings.
Falcon has managed 100 successful landings in a row despite large gaps in redundancy. Most landing burns are conducted with a single Merlin 1D engine. Any issue with that engine would likely result in a failed landing. Falcon boosters also have four landing legs and four grid fins powered by a single hydraulic pump. The failure of that pump or one of four legs have demonstrably doomed earlier landings.
Starship’s much larger size and excess performance could provide a larger margin for error and allow for more redundancy. But Falcon has demonstrated that that even a rocket with multiple glaring single-points-of-failure can achieve 100 consecutively successful landings.
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
