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NASA awards contract to build first rocket designed to launch from Mars
NASA has selected Lockheed Martin, an American aerospace and defense company, to build the Mars Ascent Vehicle (MAV), a tiny rocket that will likely become the first to launch from another planet.
“Committing to the Mars Ascent Vehicle represents an early and concrete step to hammer out the details of this ambitious project not just to land on Mars, but to take off from it,” said Thomas Zurbuchen, associate administrator of NASA’s Science Mission Directorate. “We are nearing the end of the conceptual phase for this Mars Sample Return mission, and the pieces are coming together to bring home the first samples from another planet. Once on Earth, they can be studied by state-of-the-art tools too complex to transport into space.”
The Mars Return Program is part of an ongoing collaboration between NASA and the European Space Agency (ESA) that began with the Perseverance rover landing on Mars in February 2021. Perseverance has spent the last year collecting valuable samples of Martian geology that will eventually be sent to Earth for further examination.
In order to launch a rocket from Mars’s surface, NASA will first need to launch their Sample Retrieval Lander (SRL), the vehicle responsible for retrieving, containing, and launching the Mars collected samples into Mars’s orbit. Additionally, SRL will be carrying an ESA-led sample fetch rover and Lockheed Martin’s MAV rocket. The sample fetch rover will retrieve the samples collected by the Perserverience Rover, and place them into Orbiting Sample Containers using an ESA provided Sample Transfer Arm. These samples will then be placed on the MAV and subsequently launched off the planet.
The European Space Agency is also responsible for developing the Earth Return Orbiter (ERO), which will be launched by the ESA into Mars’s orbit, and will intercept the basketball size sample container orbiting Mars. The samples will be sealed in a biocontainment system to prevent cross-contamination and robotically transferred into an Earth reentry capsule.
“Returning a sample is complicated, and MAV faces some complex development challenges. It must be robust enough to withstand the harsh Mars environment and adaptable enough to work with multiple spacecraft. It also must be small enough to fit inside the Sample Retrieval Lander.” (NASA)
The cost-plus Mars Ascent Vehicle Integrated System (MAVIS) contract starts at $194 million and will extend six years from the performance period starting no earlier than February 25th, 2022. As a part of the contract, Lockheed Martin is responsible for designing, developing, testing, and evaluating the integrated MAV system, and designing and developing the rocket’s ground support equipment.
NASA and the European Space Agency plan to launch the Sample Retrieval Lander to Mars by 2026, with hopes that ESA’s Earth Return Orbiter will deliver the first pure Martian regolith to Earth by the mid-2030s.
If successful, these missions would result in several “firsts” for space exploration.
- The first simultaneous landing of three vehicles (a lander, a rover, and a rocket) on another planet.
- The first rocket launch from the surface of another planet.
- The first interplanetary mission requiring the direct, hands-on cooperation of multiple international missions.
- The first interplanetary sample return.
“This groundbreaking endeavor is destined to inspire the world when the first robotic round-trip mission retrieves a sample from another planet – a significant step that will ultimately help send the first astronauts to Mars,” NASA Administrator Bill Nelson said. “America’s investment in our Mars Sample Return program will fulfill a top priority planetary science goal and demonstrate our commitment to global partnerships, ensuring NASA remains a leader in exploration and discovery.”
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
