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SpaceX wins launch contract for NASA mission to study unique metal asteroid
SpaceX has been awarded a $117 million launch contract for NASA’s Psyche mission that will study a unique metal asteroid between Mars and Jupiter.
The NASA mission to loft a 5,750-lb. (2,608-kg) spacecraft atop of SpaceX’s Falcon Heavy Rocket will study a mineral-rich asteroid named 16 Psyche. The mission is expected to take place sometime in 2022 and launch from NASA’s historic Launch Pad 39A in Cape Canaveral, Florida.
Falcon Heavy will launch @NASAPsyche! The mission, for which @NASA requires the highest level of launch vehicle reliability, will study a metal asteroid between Mars and Jupiter to help humanity better understand the formation of our solar system’s planets https://t.co/mvrgx6dvaW pic.twitter.com/FqMaRKscQ4
— SpaceX (@SpaceX) February 28, 2020
Psyche is an intriguing, metallic world orbiting in the asteroid belt, between Mars and Jupiter. Most asteroids are made of rock and ice, but not Psyche — it’s composed of iron and nickel. That’s what makes it an interesting target.
Scientists want to study it because they believe Psyche could provide insight into how planets form. Terrestrial bodies, like the Earth, have metallic cores deep in their interior, below the outer layers like the mantle and crust. Psyche could be one of these metallic cores: the remnant of a violent collision with another planetary body billions of years ago.
We’re unable to study the Earth’s core directly, so Psyche could provide a lot of insight into our own planet as well as how other rocky planets form.
The Psyche mission was selected in 2017 as part of NASA’s Discovery Program, which also includes historic missions like the Kepler Space Telescope, and the InSight Mars lander.
This mission is one of true exploration because scientists aren’t exactly sure of what we will find. Ground-based measurements indicate that Psyche could be as large as Mars, and is probably shaped like a potato. But is this hunk of metal the dead, exposed heart of an ancient protoplanet or could it be a weird iron-rich alien world?
The spacecraft is packing a suite of four instruments that will enable the science team to determine what happened to 16 Psyche over its lifetime. Right now the team postulates that Psyche is the metallic core of a planetary body that was destroyed billions of years ago through an incredibly violent collision with another world. There’s evidence to indicate that Psyche was once molten, and cooled after having its crust stripped away.
Planetary impacts, such as a meteor slamming into the Earth, have been studied for as long as scientists have been studying planets. Understanding these events are a fundamental aspect of planetary science. They can tell us the age of a planetary surface, and much more. Historically, impact studies have focused on rocky worlds, and recently icy bodies. But what happens on a metal world? No one knows.
If Psyche was once a molten world, as the science team believes, it could join the list of volcanic worlds in the solar system. We’re all familiar with the volcanoes that we see here on Earth. Mars had similar ones in its past, like Olympus Mons. But these are not the only types of volcanoes we see in our cosmic backyard. Icy worlds like Pluto and Ceres have evidence of cryovolcanoes.
These are different than what we see on Earth because they spew icy materials instead of lava. Psyche could be even more strange, with evidence of molten metals such as iron and nickel on its surface.
Psyche will test an experimental laser technology that will aim to improve communications with spacecraft over vast distances. It will also launch with two secondary payloads: Escape and Plasma Acceleration and Dynamics Explorers (EscaPADE), which will study Mars’ atmosphere and the process by which it’s being lost to space; and Janus, which will focus on binary asteroids and how they form.
This is SpaceX’s 8th contract from NASA’s Launch Services Program (LSP) and the first for Falcon Heavy. SpaceX’s workhorse, the Falcon 9 has several science missions under its belt, having launched NASA’s Transiting Exoplanet Survey Satellite (TESS), and will launch the upcoming PACE mission, which is designed to study the Earth’s oceans and atmosphere.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
