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SpaceX waits in the wings as NASA risks maiming Jupiter probe to pinch pennies
SpaceX and its Falcon Heavy rocket continue to wait in the wings as NASA risks maiming its ‘Europa Clipper’ Jupiter probe by pinching the wrong pennies.
For the second time, NASA has performed “continuation/termination reviews” of three of the Europa Clipper spacecraft’s scientific instruments after budget overruns on the order of no more than a few tens of millions of dollars. Thankfully, no instruments were canceled, unlike the “ICEMAG” magnetometer that was functionally killed last year. Still, a NASA program scientist casually noted that the space agency would tolerate launching without one of two cameras and would offer no more funding to a mass spectrometer instrument (MASPEX), raising the risk of instrument failure during the challenging mission.
For any scientific spacecraft or rover, the instruments carried along are effectively the entire reason for their existence: if those instruments are faulty (or even removed before launch), the mission is effectively rendered pointless. Further, due to the sheer complexity and challenges posed by the act of getting to the destination and surviving after arrival, the actual instruments most scientific spacecraft carry represent a tiny fraction of the overall mission cost and mass. It’s not easy to readily imagine a better way to signal inept program management than by singularly focusing on that tiny, lifeblood-esque portion of a spacecraft’s budget. Undeterred, that is exactly what NASA appears to be doing with Europa Clipper – penny-wise, perhaps, but undoubtedly pound-foolish.

It’s not always true that only a small portion of an exploratory spacecraft’s budget is spent on scientific instruments but it absolutely is when it comes to Europa Clipper. Originally hoped to cost as little as $2 billion in 2013, Europa Clipper’s budget allocation has ballooned to $4.5 billion over the life of the program. Of that $4.5 billion, as little as $110M was dedicated to nine scientific instruments assigned to the spacecraft – a ratio of ~41:1. Even if instrument cost ballooned by 100% to ~$220 million, it would still be a measly 20:1. The space environment around Jupiter is admittedly one of the most challenging in the Solar System, warranting some imbalance, but either ratio is still exceptionally bad as far as most exploratory missions go.
Designed to create detailed maps of Europa’s theorized water oceans, ICEMAG, for example, jumped from a $30 million cost estimate to $45 million before NASA abruptly killed it. A Clipper planetary scientist called ICEMAG “a critical instrument that’s been central to Europa science forever”. MASPEX, meanwhile, is a mass spectrometer that will be used to analyze possible chemicals captured by flying through Europa’s transient atmosphere (or, even better yet, plumes from vast ocean geysers). In other words, the instrument most likely to be hobbled next by NASA is also the only instrument on Europa Clipper capable of potentially detecting signs of life by directly sampling material ejected by Europa’s plumes.
Even just with ICEMAG removed, the value proposition of a $4.5 billion mission to an ocean moon of Jupiter becomes much hazier. With ICEMAG removed and MASPEX at risk of being thrown to the wolves, Europa Clipper’s purpose becomes even weaker. Of course, seven valuable instruments remain – some of which partially overlap with MASPEX’ goals – and MASPEX could still technically make it to the finish line in its original handicap-free state, but the tides are definitely not moving in an encouraging direction.


The worst part is that excluding the extraordinarily expensive spacecraft that will host instruments worth ~3-5% its cost, Congress has been dead-set on forcing Europa Clipper to launch on NASA’s chronically-delayed, over-budget Space Launch System (SLS) rocket. SLS has yet to launch once despite more than a decade of development and almost $30 billion spent on the rocket alone, and it would take a miracle for an SLS rocket to be ready to launch Clipper before 2025 or 2026. Europa Clipper is working towards a launch no earlier than 2024, meaning that the spacecraft would have to be stored indefinitely at a cost of at least $125 million per year.
Intrepid readers may note that the cost of simply waiting a single year for SLS to be ready for launch is higher than the cost of all of Europa Clipper’s scientific instruments at their original $110 million budget. The actual cost to NASA for a single SLS launch is expected to $1.5 billion at the absolute minimum, while $2-2.5 billion is far more reasonable. With a little effort and some moderate cruise stage tweaks, Ars Technica has already reported that an expendable SpaceX Falcon Heavy rocket augmented with an off-the-shelf kick stage could send Europa Clipper to Jupiter in 5-6 years, compared to ~3 with SLS.


Ironically, that means that if Falcon Heavy was ready to launch Europa Clipper when the spacecraft is expected to be ready in 2024, it would actually arrive at the same time (or close) if it launched on SLS – once a minimum two-year launch vehicle delay is accounted for. A Falcon Heavy would also save NASA at least $1-2 billion, while it would directly save the Europa Clipper program the ~$250 million it would otherwise need to spend to store the spacecraft while waiting years for an SLS rocket. That $250 million alone – an inevitable add-on cost if SLS is chosen – could easily double the budget of every single Europa Clipper science instrument, adding plenty of breathing room, reinstating ICEMAG, and likely improving the science they output – data-gathering quite literally being the whole purpose of the mission.
Of course, the odds that NASA actually steps out from under the political shadow of SLS and stops playing penny wise and pound foolish with the extraordinarily expensive science missions it shepherds is unlikely. But still, the possibility (and hope) remains. Most recently, a very slight change in the wording of a proposed law (bill) could give the Europa Clipper program the legal wiggle room it needs to sidestep Congress’ desire to force it to launch on SLS. Of course, the senators and representatives with parochial attachment to the rocket will continue to fight tooth and nail to legally force it upon NASA at every possible turn, but there is now at least a chance of a sane outcome.
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Elon Musk
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.