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SpaceX will launch its Mars spaceship into orbit as early as 2020

SpaceX fan creates impressive CGI of BFR launch and landing [Credit: Hazegrayart via YouTube]

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First spaceship prototype already under construction

Speaking on a launch industry round-table at the Satellite 2018 conference, SpaceX President and COO Gwynne Shotwell revealed that the company intends to conduct the first orbital launches of BFR as early as 2020, with suborbital spaceship tests beginning in the first half of 2019.

Only six months after CEO Elon Musk first debuted the Interplanetary Transport System in Adelaide, Australia, a flood of recent comments from both executives have made it overwhelmingly clear that SpaceX intends to have its first spaceship ready for short suborbital test flights at the beginning of 2019. Considering Musk’s unprovoked acknowledgment at SXSW 2018 of his tendency towards overly optimistic timelines, the repeated affirmations of BFS test flights beginning in 2019 and now an orbital launch of the full BFR booster and ship in 2020 hold a fair deal more water than they did in 2017.

SpaceX’s subscale Raptor engine conducting a 40-second test in Texas. This engine will power both BFR and BFS. (SpaceX)

Breaking it down

These past few weeks have been filled with a number of similar statements from SpaceX executives like Shotwell, Musk, and others; all focused in part on the company’s next-generation launch vehicle, BFR (Big __ Rocket). Composed of a single massive booster and an equally massive second stage/spaceship (BFS), the rocket is meant to enable the affordable expansion of permanent human outposts on Mars and throughout the inner solar system by making good on the decades-old promise of fully reusable launch vehicles.

In order to succeed, the company will need to solve the problems that NASA and its Shuttle contractors never could.

To an extent, SpaceX has already matured the principles and technologies needed to reliably recover and reuse the booster stage of two-stage rockets, demonstrated by their incredible success with Falcon 9.

BFR is a whole different animal, partly owing to its massive size, huge thrust, and new propellant and tankage systems, but those problems are more technical than conceptual. SpaceX already knows how to reuse boosters, and that will apply to BFR once its several technological hurdles have been overcome. Designing and building the orbital spaceship (BFS), however, will undoubtedly be the most difficult task SpaceX has yet to take on. The safety and cost records of the only other orbital-class reusable second stage in existence, the Space Shuttle, are at least partially indicative of the difficulty of the challenges ahead of SpaceX.

In order to succeed, the company will need to solve the problems that NASA and its Shuttle contractors never could – they will need to build an orbital, crewed spaceship that can be reused with minimal refurbishment, can launch for little more than the cost of its propellant, and does so with safety and reliability comparable to the records of modern commercial airliners – perhaps the safest form of transport humans have ever created.

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Space Shuttle Atlantis docked with the beginnings of the International Space Station. The Shuttle suffered several deadly failures and cost more than the expendable Saturn V moon rocket it replaced. (NASA)

Rockets do not easily lend themselves to such incredible standards of safety or reliability – airliners average a single death per 16 million flights – but SpaceX will need to reach similar levels of reusability and reliability if they hope to enable even moderately affordable spaceflight or Earth-to-Earth transport by rocket. Still, there can be little doubt that SpaceX employs some of the absolute best engineering expertise to have ever existed in the US, and their extraordinary personal investment in the company’s goal of making humanity multi-planetary bode about as well as could be asked for such an ambitious endeavor. According to Musk and Shotwell, the first spaceship is already being built and suborbital tests will begin as soon as 2019, while full-up orbital launches – presumably involving both the booster and spaceship – might occur just a single year later in 2020.

It appears that we will find out sooner, rather than later, if SpaceX has truly found a way to lower the cost to orbit by several orders of magnitudes. Follow us for live updates, behind-the-scenes sneak peeks, and a sea of beautiful photos from our East and West coast photographers.

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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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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.” 

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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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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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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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