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NASA and SpaceX probably can’t terraform Mars but that doesn’t matter

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In recent weeks, a great deal of exaggerative noise has been spread wide about the supposed impossibility of making the planet Mars more Earth-like and hospitable, a concept known as terraforming. The reality is quite a bit different, especially within the context of any SpaceX or NASA-driven human outposts or colonization attempts.

Triggered by comparatively reasonable research just published by two experienced planetary scientists, much of the hyperbolic media coverage that followed failed to properly frame the true challenges of terraforming the Red Planet.

The entire limb of Mars captured by ESA’s Mars Express orbiter, June 2017.

Keeping the cart behind the horse

Before anything else, it’s critical to take a step back from the idea of terraforming and consider the simpler facts of any human presence on Mars. First, the rationale for a permanent human presence on Mars is largely independent of the environmental conditions on the planet – it’s a huge help to have basic resources available in situ (on site), but the difficulty of surviving in a given non-Earth environment is immaterial to the human desire to both explore and survive.

Assuming we humans really do want to ensure that a subset of ourselves can independently survive any truly global catastrophe on Earth, be it natural or artificial, we will find a way to do so in even the harshest of environments. Living on Mars would be downright luxurious compared to life aboard the International Space Station, thanks largely to ~1/3rd Earth gravity, accessible natural resources to replenish consumables, an Earthlike day and night cycle, considerably more forgiving temperature extremes, and much more.

 

Despite the inhospitable conditions, human presence aboard the ISS has been uninterrupted for nearly 20 years, even though the average stay per crewmember sits around six months. The ISS also has the luxury of a 90 minute day/night cycle, 100% unfiltered sunlight for peak solar panel efficiency, regular resupply missions from Earth, and an escape route in the event of a catastrophic failure. That escape method (Soyuz capsules docked to the station) has not once been used, aside from a handful of instances where crew boarded their escape vehicles as a cautionary measure during unusually risky space debris events, an absolute non-issue on Mars’ surface.

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Put simply: if humans can live in orbit for long periods, they can also survive on Mars with at least the same level of difficulty.

Getting there is the hardest part

By taking natural resources available on Mars (namely water and carbon dioxide) and using them to repopulate the planet’s withered atmosphere, it has long been hoped that the Martian surface might be brought much closer to that of Earth, with a thicker atmosphere translating into familiar air pressure and a far warmer climate. In its current state, humans would always need to wear pressure suits and carry oxygen when traveling beyond their Martian habitats, as Mars’ 0.06 bar atmosphere would be approximately as forgiving as the naked vacuum of space and only moderately warmer.

https://twitter.com/_TheSeaning/status/1026194288886071296

Terraforming could potentially alleviate those significant points against the Red Planet, although updated research published this year (2018) appears to indicate otherwise. In reality, Jakosky and Edwards’ study simply emphasizes and adds on to what should already have been wildly apparent – making desolate planets Earthlike is almost invariably going to be an unfathomably difficult (but by no means impossible) challenge, and is most likely beyond the reach of present-day humanity.

 

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It also happens to be the case that terraforming as a concept is utterly irrelevant without the means to get to and – more importantly – transport respectable amounts of cargo to the bodies one hopes to one day transform. SpaceX’s BFR transportation system is one such acknowledgment of that problem – the issue with Mars colonization or really any basic human presence at all is not surviving after arrival, but instead actually getting there in the first place and doing so without taking decades or bankrupting entire nations.

Extremely affordable transport to, from, and between orbits happen to be the most unequivocal requirement for both a permanent human presence on other planets and have any hope at all of terraforming them, but it just so happens that the latter is 100% irrelevant and impossible without the former. Let’s seriously worry and argue about terraforming Mars once we can do so from the surface of the Red Planet and focus first on getting there.


For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet (including fairing catcher Mr Steven) check out our brand new LaunchPad and LandingZone newsletters!

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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