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According to CEO Elon Musk, SpaceX will share new photos of BFR's Starship upper stage in January and begin booster production as early as next spring. (SpaceX) According to CEO Elon Musk, SpaceX will share new photos of BFR's Starship upper stage in January and begin booster production as early as next spring. (SpaceX)

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SpaceX confirms initial BFR spaceship flight tests will occur in South Texas

(SpaceX)

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SpaceX has confirmed that the two large propellant tanks now present at its Boca Chica, Texas facilities will likely to be the last major ground tanks needed to enable the first test flights of the upper stage of its next-gen BFR rocket, known as the Big Falcon Spaceship (BFS).

Expected to begin as soon as late 2019, SpaceX executives have recently reiterated plans for a campaign of hop tests for the first full-scale spaceship prototype, in which the ship will follow in the footsteps of its Falcon 9-based Grasshopper and F9R predecessors.

https://twitter.com/krgv_mike/status/1055748966619537408

In a comment provided to a number of local outlets, SpaceX Communications Specialist Sean Pitt stated this about the recent arrival of a second large propellant storage tank at the company’s prospective South Texas test and launch facilities.

“The ongoing construction of our launch pad in South Texas is proceeding well. SpaceX has now received the final major ground system tank needed to support initial test flights of the Big Falcon Spaceship.” – Sean Pitt, SpaceX

While there may have been some slight uncertainty before, this official statement confirms beyond the shadow of a doubt that SpaceX is actively and rapidly preparing its South Texas property for a future of BFR-related tests, spaceship hops, and perhaps even launches.

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SpaceX’s 2018 BFR visualized landing on Mars. Initial Texas hop tests will likely look similar, albeit in Earth gravity and over concrete. (SpaceX)

Same dance, different hops

Unlike Falcon 9’s Grasshopper and F9R reusability development programs, SpaceX’s BFS hop test campaign is likely going to be much more aggressive in order to gather real flight-test data on new technologies ranging from unfamiliar aerodynamic control surfaces (wings & fins vs. grid fins), all-composite propellant tanks (Falcon uses aluminum-lithium), a 9m-diameter vehicle versus Falcon’s 3.7m, a massive tiled heat-shield likely to require new forms of thermal protection, and entirely new regimes of flight (falling like a skydiver rather than Falcon 9’s javelin-style attitude) – to name just a handful.

To fully prove out or at least demonstrate those new technologies, BFS hop testing is likely to be better described as “flight testing”, whereby the spaceship launches vertically but focused primarily on regimes where horizontal velocity is far more important than vertical velocity.

“But by ‘hopper test,’ I mean it’ll go up several miles and then come down. The ship will – the ship is capable of a single stage to orbit if you fully load the tanks. So we’ll do flights of increasing complexity. We really want to test the heat shield material. So I think we’ll fly out, turn around, accelerate back real hard and come in hot to test the heat shield because we want to have a highly reusable heat shield that’s capable of absorbing the heat from interplanetary entry velocities, which is really tricky.” – CEO Elon Musk, October 2017

Focusing on the important things (for fully-reusable rockets)

SpaceX does has significant familiarity with the general style of testing expected to be used to prove out its next-gen spaceship, a major department from anything the company has yet built or flown. Updated in September 2018 by CEO Elon Musk, the craft’s most recent design iteration is reportedly quite close to being finalized. That near-final design prominently features a trio of new aft fins (two able to actuate as control surfaces), two forward canards, and an updated layout of seven Raptor engines.

Critically, SpaceX has decided to commonize BFR’s main propulsion, choosing to skip the performance benefits of a vacuum-optimized Raptor variant for the simplicity and expediency of exclusively using sea level Raptors on both the booster and spaceship. This decision is ultimately strategic and well-placed: rather than concerning early-stage development with the inclusion of a second major branch of onboard propulsion, the company’s engineers and technicians can place their focus almost entirely on a one-size-fits-all version of BFR with plenty of room for upgrades down the road.

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With a rocket as large as BFR and a sea level engine already as efficient as Raptor, the performance downgrade wrought by the initial removal of Raptor Vacuum (RVac) is scarcely more than a theoretical diversion. The specific performance numbers remain to be seen but will likely be greater than 100 metric tons (~220,000 lbs) to low Earth orbit (LEO). Past a certain point, however, the actual performance to LEO and beyond is almost irrelevant, at least from a perspective of individual launches. The paradigm SpaceX is clearly already interrogating is one where the cost of individual launches is so low relative to today’s expendable launch pricing ($5,000-20,000/kg to LEO) that it will almost be anachronistic to design or work with a single-launch-limit in mind, a limit that is just shy of a natural law in the spaceflight industries of today.

Because SpaceX has already demonstrated expertise in vertically launching, landing, and generally controlling large rockets, the main challenges faced with BFR are more operational than purely technical. To be clear, the technical challenges are still immense, but successfully solving those challenges by no means guarantees that the aircraft-like operational efficiency needed for BFR to succeed can or will be fully realized.

 

In 2016, Musk pegged SpaceX’s cost goals for a BFR-style fully-reusable rocket at less than $1M per launch for booster and spaceship maintenance alone, or $3.3M per launch with amortization (paying for the debt/investment incurred to fund BFR’s development) and propellant estimates included. To realize those ambitious costs, SpaceX will effectively have to beat the expendable but similarly-sized Saturn V’s per-launch costs (~$700M) by a factor of 100 to 200 – more than two orders of magnitude – and SpaceX’s own Falcon 9 and Heavy launch costs (~$55M to $130M) by 20-50X.

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To even approach those targets, SpaceX will need to learn how to launch Falcon and BFR near-autonomously with near-total and refurbishment-free reusability, while also developing and demonstrating orbital refueling capabilities that do not currently exist and rapidly maturing large-scale composite tankage and structures. None of those things require Raptor Vacuum.


For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet 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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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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