Years before the space agency’s flagship Europa Clipper mission is scheduled to lift off, NASA and SpaceX are already determining the specifics of the launch – including which Falcon Heavy boosters will support it.
On July 23rd, 2021, after years of rumors, NASA officially announced that it no longer planned to launch Europa Clipper on its own SLS rocket and would instead contract with SpaceX to send the spacecraft to Jupiter on a Falcon Heavy. In terms of sheer prestige, no other mission on Falcon Heavy’s manifest comes close. Expected to weigh around six tons (~13,000 lb), Europa Clipper is a building-sized spacecraft that aims to orbit Jupiter for years, performing dozens of flybys of the planet’s icy moons – several of which almost certainly have liquid oceans.
Europa – the mission’s namesake – is its primary focus and whether or not the funding or political motivation for such an ambitious mission transpires, Europa Clipper was always partially meant to be a scouting mission for a nuclear-powered lander. On its own, though, Clipper has already blown past its original $2B budget target from 2013 and is now on track to cost more than $4.5B, making it the most expensive NASA mission currently in development – second only to the ~$9B James Webb Space Telescope (JWST). In other words, NASA is entrusting SpaceX to launch what is perhaps the most expensive mission to the outer solar system in the history of planetary exploration.
That makes it all the more noteworthy that NASA has already given the okay for SpaceX to plan to launch Europa Clipper on a Falcon Heavy rocket with at least two of its three boosters already flight-proven. According to mission scientist Bob Pappalardo, Clipper Mission Design Lead Brett Buffington revealed in spacecraft “System Integration Review” that SpaceX intends to reuse two Falcon Heavy side boosters that are currently scheduled to debut as early as next year on a different NASA mission. Known as Psyche, that mission – also scheduled to fly on Falcon Heavy – is scheduled to launch no earlier than (NET) August 2022 and is designed to explore an asteroid that’s believed to be almost entirely composed of metal.
With Europa Clipper scheduled to launch NET October 2024, that undoubtedly makes this the earliest a Falcon booster assignment has ever been confirmed – and probably the earliest SpaceX itself has assigned flight-proven boosters to a specific mission. It also makes those particular boosters quite special. Unlike Psyche, which will leave plenty of margin for SpaceX to recover at least two of Falcon Heavy’s three boosters, Europa Clipper will need almost every ounce of performance the rocket can give to send the much larger spacecraft much faster and further. Barring a major surprise, that means that Falcon Heavy will launch Europa Clipper in a fully expendable configuration.
For SpaceX, being able to use at least two flight-proven proven boosters on that expendable mission will make expending two Falcon Heavy boosters – which are otherwise capable of launching at least ten times in their lifetimes – a much easier pill to swallow. For NASA, the space agency is likely already familiar with the reality that flight-proven hardware actually improves schedule confidence, which is crucial for a mission like Europa Clipper thanks to its 21-day launch window.
Nonetheless, it does still raise the question of whether NASA will allow SpaceX to fly Psyche’s Falcon Heavy side boosters once or even twice more in the more than two years they’ll otherwise have to spend in storage between Psyche and Europa Clipper. A Falcon Heavy rocket is currently scheduled to launch a commercial Moon lander and NASA’s VIPER Moon rover as early as Q4 2023. Most recently, NASA purchased a Falcon Heavy to launch NOAA’s GOES-U weather satellite NET Q2 2024. In 2022 alone, SpaceX also has at least three other non-NASA missions scheduled to launch before Psyche, raising another possibility that Psyche itself might fly on once-flown boosters that would then fly a third, fourth, or even fifth time with Europa Clipper.
That might seem like an unlikely possibility but NASA has already shown that it’s happy to launch Cargo Dragons on boosters with multiple non-NASA missions in their pasts and will soon launch DART – an asteroid impact spacecraft – on another Falcon booster that last launched Starlink satellites. Additionally, with Arabsat 6A and STP-2, SpaceX already demonstrated in 2019 that it can launch Falcon Heavy, recover its two side boosters, and relaunch those same boosters on a different Falcon Heavy mission less than two months later – and for the US military, no less.
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
