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SpaceX President Gwynne Shotwell expects BFR spaceship hop tests in late 2019
Speaking on a panel titled “Future of Space” at a 2018 conference for the Defense Advanced Research Projects Agency’s (DARPA) 60th anniversary, SpaceX COO and President Gwynne Shotwell reportedly confirmed that SpaceX is still targeting integrated BFR tests in 2019, in the form of hops with the next-gen rocket’s upper stage (known as BFS).
Shotwell: think we’ll be “hopping” the second stage of BFR (the BFS) late next year. #DARPA60
— Jeff Foust (@jeff_foust) September 6, 2018
SpaceX has been gradually developing the BFR over the last two or so years, a rocket specifically intended to itself enable the sustainable, long-term colonization of Mars as quickly as practicable. The vast majority of that effort has been put funneled into the heart of the vehicle, a new propulsion system known as Raptor. Predicted years ago to be several times more powerful than the most modern iteration of Raptor, the rocket engine is targeting extreme efficiency both in its thrust to mass ratio and in the unique full-flow staged combustion cycle that will feed it propellant.
According to a major update from Elon Musk in late 2017 and early 2018, Raptor is expected to be roughly two times as powerful as the Block 5 Merlin 1D engines that power SpaceX’s Falcon 9 and Heavy rockets, while also being dramatically more efficient (judged from a measure known as Isp, or specific impulse) thanks to that aforementioned combustion cycle and the choice of liquid methane and oxygen as BFR’s propellant. In its sea level variant, SpaceX’s c. 2017 Raptor will generate 1700 kN (~380,000 lbf) of thrust – exactly 2X Merlin 1D’s current ~850 kN (~190,000 lbf) thrust rating. The vacuum variants of each rocket engine wind up with roughly 10% greater thrust.
SpaceX’s Mars city aspirations are functionally unachievable without an extraordinarily capable Raptor propulsion system ready to power BFR’s booster and spaceship. As such, initial hop tests (akin to the Grasshopper testing SpaceX used to flesh out Falcon 9 rocket recovery) can be expected to lean heavily towards a flight-test program for Raptor, perhaps mixed with some more serious structural experimentation and testing in later phases.
It’s also likely that initial Grasshopper-style testing of BFS will focus in part on the vehicle’s legs and general aerodynamic characteristics, absolutely critical if SpaceX hopes to land its first cargo and crew spaceships on unprepared Martian terrain – something that will have to be done to avoid major changes in early Mars mission strategy. Combined with some sort of autonomous radar (or perhaps a Tesla-assisted computer vision solution) and extensive prior planning (mapping out landing spots), those legs will need to be flexible enough to absorb any major terrain imbalances and prevent the rocket and its sensitive cargo from tipping over.
Equally importantly, hop testing – at least of the more extreme variety hinted at by CEO Elon Musk – will also allow SpaceX to test the aerodynamic behavior and control surfaces of the spaceship at points in Earth’s upper atmosphere that almost perfectly mirror the unusual atmospheric conditions on Mars, something that has already been exploited scientifically by both SpaceX and NASA during Falcon 9’s recovery development.
Per long-time SpaceNews correspondent Jeff Foust, Shotwell was paraphrased saying that she expected spaceship hop tests could begin as early as late 2019, admittedly a multi-month delay from “early 2019” comments made by Musk (and even Shotwell) earlier this year and late last year.
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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
