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SpaceX’s Starship facilities, Raptor testing, and more shown off in new video
SpaceX has teased a video highlighting all aspects of its next-generation Starship rocket, ranging from new views of the Starship Mk1 prototype in Boca Chica to slow-motion clips of Raptor engine static fire tests in McGregor, Texas.
2019’s International Astronautical Congress (IAC) has included multiple SpaceX presentations, culminating on October 22nd with a discussion panel featuring SpaceX COO and President Gwynne Shotwell. Aside from offering some excellent details on the progress being made by SpaceX Starlink program, Shotwell also debuted a new Starship-centric video, featuring a range of new views of SpaceX’s next-generation rocket development program.
IAC 2019 attendee Trevor Mahlmann was able to stream the bulk of the panel, including Shotwell’s minute-long Starship program redux. Aside from a new perspective of Starhopper after its second and final test flight, perhaps the most notable new footage offered a select few glimpses of Starship Mk1’s build process. Drone timelapses and video taken from inside Starship’s tank section – prior to the installation of its third and final dome – are a strong confirmation that SpaceX is constantly acquiring high-quality footage throughout the development program.
Additionally, a back-to-back series of new videos of Raptor engine static fire testing may have been a sort of highlight reel of Raptor SN06 – the first engine to successfully make it through SpaceX’s preflight test regime – before it supported Starhopper’s final flight test in August 2019. It could nevertheless be any number of engines, as SpaceX continues to build and test Raptors at an accelerating rate.
Meanwhile, beyond Shotwell’s October 22nd discussion panel, SpaceX Principal Mars Development Engineer Paul Wooster revealed additional previously-unseen views of Starship – this time in the form of a lunar landing render. This particular render featured an unusual setup in which Starship appeared to have opened garage door-style hatches along its hull after landing on the Moon, revealing what can be assumed to be cargo bays.
In an even weirder twist, a large Moon rover appears to be heading to the lunar surface on a section of Starship’s detached hull that has been transformed into an ad-hoc elevator. The quality of the screenshot is subpar but there are no obvious strings or wires, suggesting that the implied elevator is some sort of track built directly onto the exterior of Starship’s hull. What is likely an astronaut stands on the surface, awaiting the delivery if their fresh Moon rover.
It’s unclear if the recent burst of Starship-related disclosures and teasers from SpaceX executives and senior employees is a glimpse behind the curtains or a sign of a new stage of seriousness and company-wide interest in the next-generation rocket, but it doesn’t look like it’s going to be stopping anytime soon. Up next for Starship is a critical 20 km (12 mi) flight test that will use the Mk1 prototype to determine whether SpaceX’s exotic skydiver-like recovery method is a viable option for landing on Earth and Mars. A different SpaceX presenter indicated that that test flight could occur as early as December 2019.
If successful, SpaceX CEO Elon Musk has said that the very next Starship flight test could be the spacecraft’s first attempted orbital flight. It’s far more likely that many more test flights – possibly including Super Heavy booster hops – will occur before an orbital launch attempt is made. Still, Musk believes that it could occur as few as six months from now, while Shotwell (often known for her more down-to-earth approach to schedule estimates) stated at IAC 2019 that she hoped it would occur “within a year”.
Starship’s first operational cargo mission to the surface of the Moon would then follow as early as 2022.
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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
