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SpaceX’s Elon Musk talks next goals for Falcon rocket reusability
CEO Elon Musk has reiterated that SpaceX is still pursuing a major rocket reuse milestone he originally set for the company several years ago and revealed that its Falcon rockets could ultimately soar far beyond it.
Musk has been talking publicly about reusable rockets for well over a decade but the first hard numbers linked to real hardware came with the debut of Falcon 9’s Block 5 upgrade in May 2018. In a conference call with reporters, Musk famously revealed that the Block 5 upgrade incorporated design changes that would ultimately allow SpaceX to reuse orbital-class Falcon boosters at least ten times each. An upper bound of 100+ flights per booster would also be possible with regular maintenance and part replacements every ten or so launches.
Since the upgrade’s May 11th, 2018 launch debut, Falcon 9 and Heavy Block 5 rockets have completed 37 launches – all successful – with only one in-flight anomaly, a March 2020 engine failure that prevented booster recovery but didn’t preclude mission success. Excluding three flawless Falcon Heavy launches, SpaceX’s 34 Falcon 9 Block 5 launches were collectively completed by 11 boosters – an average of >3 launches per rocket. In fewer words, SpaceX has accumulated a vast wealth of data with which it can judge the Block 5 design and CEO Elon Musk has some choice observations more than two years after his Block 5 press conference.
In the simplest possible terms, Musk’s August 19th comments strongly suggest that the Block 5 upgrade has more than met the goals laid out for it back in 2018.
The fact alone that the average Falcon 9 Block 5 booster (even including one expendable mission) has launched more than three times is a major credit to the design. At the same time, SpaceX flew the same booster for the sixth time just days ago and achieved the fifth launch of three separate Falcon 9 boosters between March and August of 2020.
Now, with all that experience in hand and a Falcon 9 Block 5 booster already 60% of the way to the ten-flight reuse milestone, Musk says that “100+ flights are possible” and that “there isn’t an obvious limit.” While “some parts will need to be replaced or upgraded” to achieve dozens or hundreds of booster reuses, Musk says that SpaceX “almost never need[s] to replace a whole [Merlin 1D] engine.
Given that a Falcon 9 booster’s nine M1D engines are likely the most difficult part of each rocket to quickly and safely reuse, it’s extremely easy to believe that individual boosters can launch dozens – if not hundreds – of times with just a small amount of regular maintenance and repairs. In that sense, SpaceX has effectively achieved Musk’s long-lived dream of building a rocket that is (more or less, at least) approaching the reusability of aircraft.
Of course, even 100-flight Falcon boosters would still be at least one or two orders of magnitude distant from most modern aircraft, but that would still be a vast improvement over any other launch vehicle in history (especially including the Space Shuttle).
Musk says that SpaceX is still actively pushing to fly a Falcon 9 booster ten times and Starlink missions – allowing the company to mitigate risk on its own launches – will leave plenty of opportunities. If SpaceX can fly Falcon 9 booster B1049 every 60 days on average, the company could hit that ten-flight milestone as early as Q2 2021.
The SpaceX CEO also responded to a classic head-in-the-sand claim from traditional aerospace companies like United Launch Alliance (ULA), refuting the theoretical supposition that booster reuse “doesn’t make sense” until ten-flight reuse is achieved. Instead, Musk says that SpaceX only needs to fly each booster three times to ensure that booster reuse is cheaper than just building new rockets.
In short, despite the ad hoc rationalizations competitors continue to use to excuse years of denial and laurel-resting, SpaceX is routinely reusing rockets, saving major resources by doing so, and has still just barely scratched the surface of what is ultimately possible.
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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
