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DeepSpace: Europe reveals Mars sample return spacecraft as SpaceX builds Starships

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7 years ago

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The European Space Agency (ESA) revealed a concept for a spacecraft that would work alongside NASA to return samples of Martian soil to Earth. (ESA)

Eric Ralph · May 28th, 2019

Welcome to the latest edition of DeepSpace! Each week, Teslarati space reporter Eric Ralph hand-crafts this newsletter to give you a breakdown of what’s happening in the space industry and what you need to know. To receive this newsletter (and others) directly and join our member-only Slack group, give us a 3-month trial for just $5.

On May 27th, the European Space Agency (ESA) published updated renders of a proposed spacecraft, called the Earth Return Orbiter (ERO). ERO would be the last of four critical elements of a joint NASA-ESA Mars sample return mission, meant to return perhaps 1-5 kg (2-11 lb) of Martian samples to scientists on Earth. In a best-case scenario, such a sample return is unlikely to happen before the tail-end of the 2020s and will probably slip well into the 2030s, barring any unexpected windfalls of funding or political support.

Enter SpaceX, a private American company developing Starship/Super Heavy – a massive, next-generation launch vehicle – with the goal of landing dozens of tons of cargo and just as many humans on Mars as few as 5-10 years from now. The radically different approaches of SpaceX and NASA/ESA are bound to produce equally different results, while both are expected to cost no less than $5B-$10B to be fully realized. What gives?

The high price of guaranteed success

  • As proposed, the Mars sample return mission will be an extraordinary technical challenge.
    • At a minimum, the current approach involves sending a single-stage-to-orbit (SSTO) rocket from Earth to Mars, landing the SSTO with extreme accuracy on the back of a new Mars lander, deploying a small rover to gather the sample container, loading that container onto the tiny rocket, launching said rocket into Mars orbit, grabbing the sample with large orbiter launched from Earth, and returning said sample to Earth where it will reenter the atmosphere and be safely recovered.
  • This downright Rube Golberg machine-esque architecture is nevertheless the best currently available with current mindsets and hardware. It’s also likely the only way NASA or ESA will independently acquire samples of Mars within the next few decades, barring radical changes to both the mindsets and technologies familiar and available to the deeply bureaucratic spaceflight agencies.
  • However, this is by no means an attempt to downplay the demonstrated expertise and capabilities of the space agencies and their go-to contractors. Both ESA and NASA have a decades-long heritage of spectacular achievements in robotic space exploration, reaching – however briefly, in some cases – almost every major planet and moon in the solar system.
    • The NASA-supported Jet Propulsion Laboratory (JPL) remains a world-leading expert of both designing, building, and landing large, capable, and long-lived rovers/landers on the surface of Mars. JPL also has a track record of incredible success with space-based orbiters, including Cassini (Saturn), Magellan (Venus), Galileo (Jupiter), Voyager (most planets, now in interstellar space), Stardust (comet sample return), Mars Reconnaissance Orbiter (MRO, Mars orbiter) and more.
  • This success, however, can often come with extreme costs. NASA’s next Mars rover – essentially a modified copy of the Curiosity rover currently operating on Mars and a critical component of the proposed sample return – is likely to cost more than $2B, while Curiosity cost ~$2.5B. The Cassini Saturn orbiter cost around ~$3.5B for 15 years of scientific productivity. ESA’s Rosetta/Philae comet rendezvous cost at least $2B total. In the scheme of things, it would be hard to think of a more inspiring way to spend that money, but the fact remains that these missions are extremely expensive.

High risk, high reward

  • The price of missions like those above may, in fact, be close to their practical minimum, at least relative to the expectations of those footing the bill. However, it’s highly likely that similar results could be achieved on far tighter budgets, another way to say that far more returns could potentially be derived from the same investment.
    • The easiest way to explain this lies in the fact that the governments sponsoring and funding ESA and NASA have grown almost dysfunctionally risk-averse, to the extent that failure really isn’t an option in the modern era. Stakeholders – often elected representatives – expect success and often demand a guaranteed return on their support before choosing to fight for a given program’s funding.
    • As it turns out, an unwillingness to accept more than a minute amount of risk is not particularly compatible with affordably attempting to do things that are technically challenging and have often never been done before. That happens to be a great summary of spaceflight.
    • As risk aversion and the need for guaranteed success grew hand-in-hand, a sort of paradox formed. As politicians strove to ensure that space agency funding was efficiently used, space agencies became far more conservative (minimizing results and the potential for leaps forward) and the cost of complex, capable spacecraft grew dramatically.
    • The end result: spacecraft that are consistently reliable, high-performance, derivative, and terrifyingly expensive.
  • SpaceX is in many ways an anathema of the low-risk, medium-reward, high-cost approach that government space agencies and their dependent contractors have gravitated towards over the last 40-50 years. Instead, SpaceX accepts medium to high risk to attain great rewards at a cost that space agencies like NASA and ESA are often unable to accept as possible after decades of conservatism.
    • This is the main reason that it’s possible that NASA/ESA and SpaceX will both succeed in accomplishing goals at a dramatically disproportionate scale with roughly the same amount of funding.
    • If NASA/ESA bite the bullet and begin to seriously fund their triple-launch Mars Sample Return program, the missions will take a decade or longer and cost something like $5 million per gram of soil returned to Earth, but success will be all but guaranteed.
    • Both SpaceX’s Starship/Super Heavy and Mars colonization development programs run significant risks of hitting major obstacles, suffering catastrophic failures, and could even result in the death of crew members aboard the first attempted missions to Mars.
    • For that accepted risk, the rewards could be unfathomable and the costs revolutionary. SpaceX could very well beat the combined might of ESA and NASA to return large samples of Martian soil, rock, and water to Earth, all while launching ~100,000 kg into Martian orbit instead of the sample return’s ~10 kg.
    • In a best-case scenario, SpaceX could land the first uncrewed Starship on Mars as early as 2022 or 2024. Barring some unforeseen catastrophe or the company’s outright collapse, that first uncrewed Mars landing might happen as late as the early 2030s, around the same time as NASA and ESA’s ~10kg of Mars samples will likely be reentering Earth’s atmosphere.
  • Regardless of which approach succeeds first, space exploration fans and space scientists will have a spectacular amount of activity to be excited about over the next 10-20 years.
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– Eric
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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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11 hours ago

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January 8, 2026

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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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15 hours ago

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January 8, 2026

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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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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.

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15 hours ago

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January 8, 2026

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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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