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SpaceX rocket set to smash NASA Space Shuttle reuse record
A SpaceX Falcon 9 booster is on track to smash an orbital-class rocket reuse record set by a NASA Space Shuttle orbiter in 1985 – and in more ways than one.
On July 11th, SpaceX announced that Falcon 9 booster B1058 had successfully completed a static fire ignition test a few days prior to its second launch. Built by Airbus, South Korea’s ANASIS II military communications satellite is based on a bus that means it should weigh somewhere between 4600 and 6400 kg (~10,000-14,000 lb). Even in a recoverable configuration, Falcon 9 should be more than capable of launching that satellite into a healthy geostationary transfer orbit (GTO), where ANASIS II will use its own built-in propulsion systems to reach a circular geostationary orbit (GEO) and begin operations.
While ANASIS II is undeniably significant in its own right as South Korea’s first dedicated military communications satellite, much of the mission’s public focus has shifted to the Falcon 9 rocket SpaceX plans to reuse on it.
In October 1985, Space Shuttle Atlantis lifted off from Pad 39A on its inaugural orbital launch, spending four days in space before returning to Earth at Edwards Air Force Base. Just 54 days later, the very same Space Shuttle orbiter lifted off from Pad 39A again, setting a record for orbital-class launch vehicle turnaround that still stands today. It would be the second-to-last Space Shuttle launch and landing before the fatal Challenger disaster less than two months later.
Almost 35 years later, a SpaceX Falcon 9 rocket is on the cusp of crushing Space Shuttle Atlantis’ record turnaround by as many as nine days (20%) if booster B1058 launches as planned between 5pm and 9pm EDT (21:00-01:00 UTC) on July 14th. SpaceX has had that NASA record within reach for roughly two years, so the fact that Falcon 9 is about to snag it doesn’t come as a huge surprise.
By far the most impressive aspect of Falcon 9’s imminent record is the comparison between the resources behind Space Shuttle Atlantis’ 54-day turnaround and Falcon 9 booster B1058’s ~44-day turnaround. Around the time NASA and Atlantis set the Shuttle’s longstanding record, some 5000-10000 full-time employees were tasked with refurbishing Space Shuttles and the facilities (and launch pads) that supported them. Based on retrospective analyses done after the STS program’s end in 2011, the average Space Shuttle launch (accounting for the vast infrastructure behind the scenes) ultimately wound up costing more than $1.5 billion per launch – more than the Saturn V rocket the Shuttle theoretically replaced.
According to a uniquely detailed May 2020 AviationWeek interview with SpaceX CEO Elon Musk, Falcon 9 booster turnaround may cost as little as $1 million apiece and can be managed from start to finish by several dozen employees at most. In other words, even though SpaceX boosters are suborbital and stressed quite a bit less than orbital Space Shuttles, Falcon 9 reuse is approximately a thousandfold more efficient that Space Shuttle reuse.
Somewhat ironically, ANASIS II likely wound up launching on Falcon 9 because Lockheed Martin was unable to built the satellite itself at the price it promised South Korea. Lockheed Martin originally designed and operated the Atlas V rocket before joining Boeing as to form the United Launch Alliance (ULA). ANASIS II exists because Lockheed Martin essentially had to sweeten the deal for a 2014 South Korean purchase of an additional 40 F-35 Lightning II aircraft valued at some ~$7 billion.
Regardless, the mission should hopefully see South Korea gain its first dedicated military communications satellite and set Falcon 9 booster B1058 up for a long and productive career of 5-10 more launches over the next few years.
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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
