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SpaceX’s Elon Musk teases in-house R&D for BFR refueling on Mars
SpaceX CEO Elon Musk took to Twitter to reaffirm SpaceX’s commitment to developing their own technology for refueling BFR beyond Earth, noting that the high-efficiency hardware would be “critical for propellant production at Mars Base Alpha.”
Known as in-situ resource utilization (ISRU), Musk briefly commented on SpaceX’s in-house work on the tech in an October 2017 Reddit AMA (Ask Me Anything), noting that “Design is pretty far along…it’s a key part of the whole system.” His most recent tweet on June 10 reiterated ISRU’s centrality to any successful (read: sustainable) colonization of Mars, and the CEO further confirmed what was already all but guaranteed, describing a chemical reaction known as the Sabatier process.
“SpaceX is already developing high-efficiency CO2 capture with H2O to form liquid CH4 (methane) & O2.” – Elon Musk, June 2018
SpaceX’s BFR visualized just before launch at the upgraded LC-39A pad. (SpaceX)
At the most basic level, by combining heated, high-pressure carbon dioxide and hydrogen (easily derived from Mars’ CO2-rich atmosphere and wealth of water ice) and a bed of nickel or aluminum oxide, the Sabatier process can produce methane and water. Water can be easily decomposed into hydrogen and oxygen or used for drinking, cooking, and plumbing, among an infinite number of other uses. Akin to a more advanced version of what is already successfully utilized aboard the International Space Station, efficient Sabatier reactors can also be used to partially recycle wastewater and carbon dioxide (produced by humans breathing) to recover a significant fraction of pure water and methane.
In the case of SpaceX’s BFR rocket and spaceship, its propellant of choice will be liquid oxygen and methane (known as methalox) partly because of how comparatively easy it is to handle methane and to produce it on Mars, while simultaneously being a significant enabler of efficient long-term crewed spaceflight (i.e. the months-long deep space journeys to and from Mars). Less consumable mass required to keep passengers alive and happy directly translates into more payload to the surface of Mars, lowering the overall cost per kilogram delivered and thus the cost per ticket!
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- The BFR spaceship pictured landing on Mars. (SpaceX)
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- A US astronaut completes installation of the ISS’s upgraded Sabatier reactor, which helps to partially close the loop on water consumables. (NASA, 2011)
After landing on Mars, Sabatier reactors would be used to gradually refuel each Big F. Spaceship. Of course, the Sabatier process follows the laws of thermodynamics and thus requires a power source to heat the inputs, as well as cool the outputted methane and oxygen into fuel-grade cryo-cooled liquids. At least until SpaceX chooses to jump into the ring with the US nuclear (fissile) material regulation apparatus and develop or launch nuclear reactors, the most reliable power source for interplanetary colonization, that power will have to be supplied by acres upon acres of solar panels optimized to be as light, dense, and efficient as possible. If anything, the dust storm currently threatening the livelihood of Mars rover Opportunity should serve as evidence that solar power on Mars is at best a relatively cheap and simple stopgap for better power sources, especially for any long-term human presence on the Red Planet.
Optimally, BFS’ own internal solar array would (and likely will, at least at first) double as a source of power both in space and on the surface of Mars, neatly removing the need to waste precious cargo space on duplicate hardware. Even better, perhaps there is a chance that SpaceX’s materials scientists, engineers, and chemists can find ways to significantly optimize the Sabatier reaction for their specific needs, potentially lowering the energy required to get the desired end-product. It’s sort of a theme with interplanetary colonization, butttt… lower energy requirements translate to fewer solar panels needed to produce a given quantity of propellant in a set period of time, meaning that more payload can thus be dedicated to more important cargo like food, habitats, ISRU hardware, mining and tunneling machinery, and humans.
With any luck, followers of SpaceX may get an update on the company’s BFR plans later this year, likely just before or immediately after the first prototype spaceship is shipped to Texas for acceptance testing and a Grasshopper-style program of suborbital hops.
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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
