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SpaceX is searching for BFR landing sites for early 2020s Mars missions
SpaceX Principal Mars Development Engineer Paul Wooster gave a surprise talk at a February 2018 meeting of the Mars Exploration Program Analysis Group, where he provided a brief overview of SpaceX’s plans for the Red Planet, ranging from prospective landing sites for the company’s first missions there to the possibility of including significant secondary payloads on BFR and Falcon Heavy launches.
Wooster reiterated that SpaceX is still targeting the early 2020s for its first true BFR missions to Mars, perhaps less than five years from today. He further discussed prospective landing locations on the planet, emphasizing a need for a smooth landing site, easy access to on or near-surface water ice, and a preference for the warmer and more forgiving mid and low (equatorial) latitudes. A huge amount of work admittedly remains before the company before those missions are even remotely conceivable, especially missions with crew onboard.
If/when SpaceX successfully debuts its Crew Dragon spacecraft and demonstrates the ability to reliably and safely transport humans to and from orbit, a huge amount of the risk currently innate in any long-term interplanetary transport and colony creation will be definitively retired, transforming several of the major problems at hand from clean-slate tech development to optimizing and scaling up functional first-generation designs and hardware.
Crew Dragon’s official uncrewed demonstration debut (DM-1) and perhaps the crewed demonstration follow-on mission (DM-2) will likely have real launch dates announced later this week in an August 3 NASA press conference. Reliable sources have pegged those dates around October-December for DM-1 and 3-6 months later for DM-2
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- SpaceX’s gorgeous Crew Dragon capsule is nearing its own debut, likely before the end of 2018. (SpaceX)
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- The first spaceworthy Crew Dragon capsule is already in Florida, preparing for its November 2018 launch debut. The same capsule will be refurbished and reflown as few as three months after recovery. (SpaceX)
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- Note that Merlin 1D and prior Raptor prototypes both feature traditional single nozzles. (Pauline Acalin)
Nevertheless, SpaceX is demonstrably hard at work designing and building BFR‘s booster, spaceship, and tanker and is moving quickly in the direction of full-scale engineering and production. Much of that prototype manufacturing happens to be taking place in a temporary tent installed in a Port of Los Angeles parking lot near the end of 2017. According to one source engaged in the work there, SpaceX technicians and engineers have already begun rolling out preliminary materials and engineering samples of carbon composite structures and propellant tanks with the massive manufacturing tools (one known as a mandrel) temporarily housed inside.
Just a few miles away, the company is busy preparing a construction site for a permanent BFR factory on a plot of Port of Los Angeles land known as Berth 240. The smaller Phase 1 of that BFR factory is expected to be completed roughly a year after construction begins, placing the inauguration of the dedicated facility sometime around the middle of 2019. Suborbital launches of the massive rocket’s upper stage spaceship are expected in 2019, while orbital launches of BFR are NET 2020.
Read the full summary of Mr. Wooster’s presentation below.
“A walk-on presentation was given by Paul Wooster of SpaceX which highlighted the recent successful test of the Falcon Heavy launch vehicle with its potentially very large payload capacity (100 metric tons). Using the Falcon Heavy and development of an even larger Big Falcon Rocket (BFR) launcher are the basis of their ambitious plans for the future exploration and colonization of Mars, potentially launching missions to Mars within the early 2020s. SpaceX’s current landing site candidates for Mars were shown, having been chosen to provide access to near-surface ice, few landing site hazards (such as large rocks), and enough space for potentially growing a sizeable outpost. The ice sites are in high mid-latitudes and the search for lower latitude candidates, which are preferred, continues. Previously, MEPAG had been told that SpaceX could transport for-fee payloads to the Mars surface. In response to questions, Paul iterated that there is likely to be capacity for secondary payloads on either the Falcon Heavy or BFR launchers, although details remain to be negotiated once the launcher capabilities are firmly established.”
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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
