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SpaceX rings in Falcon 9’s 10th anniversary with a rocket reusability first
Today is the tenth anniversary of SpaceX’s inaugural Falcon 9 launch, marking a decade of largely uninterrupted success that the company has rung in with a record-breaking Starlink launch and rocket landing.
Just one day shy of the occasion, booster B1049 lifted off on its fifth orbital launch and Falcon 9’s 86th launch overall, successfully placing the eighth batch of 60 SpaceX Starlink satellites in orbit and becoming the first booster ever to complete five orbital-class launches and landings. Designed to fly no fewer than 10 times each, that means that SpaceX is already half of the way to achieving a major goal of the rocket’s Block 5 upgrade just 24 months after its launch debut.
With Starlink-8 under its belt, Falcon 9 B1049 has officially become the fastest orbital-class rocket or spacecraft in history to perform five launches, beating out Space Shuttles Columbia (~27 months), Challenger (~24 months), Discovery (~22 months), Atlantis (~26 months), and Endeavour (~29 months) with launches in ~20 months. Over the 10 years it’s been operational, thanks in large part to the unprecedented leaps SpaceX has made while independently developing booster reusability, Falcon 9 has become the most affordable source of large orbital launches and has come to dominate the commercial launch market and the company’s lead is only likely to grow in the coming years.
Lifting off just hours after SpaceX completed Port Canaveral recovery operations with the first astronaut-proven Falcon 9 booster (B1058), B1049’s fifth successful launch and landing means that the company will soon be able to attempt the sixth launch of an orbital-class booster for the first time ever. All but guaranteed to support one of the 20-24 Starlink missions SpaceX has planned for 2020, B1049 could be ready for its sixth launch as early as late July or August.
Just like the booster’s two prior launches, B1049 was carrying a ~16 metric ton (~35,000 lb) batch of 60 Starlink communications satellites. Thanks to Falcon 9’s exceptional cost-to-performance ratio and the rapid expansion of Starlink launch activities, SpaceX’s workhorse rocket has already launched almost 450 metric tons (~1 million lb) of satellites and cargo into orbit over 10 years of service and 85 launches.
If things go according to plan, the Starlink launch campaign SpaceX needs to complete the massive satellite constellation will rapidly double (and almost triple) the total mass SpaceX has placed in orbit. The first major phase of 4400 satellites – currently 9.5% complete – will collectively weigh more than 1100 metric tons (~2.5 million lb), while the combined second and third phases will raise that by almost a full magnitude. Falcon 9 may forever be famous thanks to the leaps it’s made in reusability, affordability, and reliability, but it will likely end up being best known for its foundational role in the deployment of SpaceX’s vast Starlink internet constellation within a few years.
After B1049.5 safely returns to Port Canaveral aboard drone ship Just Read The Instructions (JRTI) sometime next week, SpaceX can offload the rocket, transport it to a nearby hangar, and begin preparing it for launch #6 – a first for the company. If SpaceX can average 90-day turnarounds for the booster over its next several flights, B1049 could potentially become the first Falcon 9 first stage to achieve its 10-flight design goal before the end of next year.
Meanwhile, SpaceX is already preparing to launch its next (ninth) Starlink mission as early as June 12th, beating the pad’s current turnaround record by almost three days (~25%). All things considered, a full decade in, SpaceX and its Falcon 9 rocket are just getting started.
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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
