News
SpaceX CEO Elon Musk says Starship (BFS) hop tests could start in early 2019
SpaceX CEO Elon Musk has taken to Twitter to share an unexpected wealth of detail about the “radical” and largely unpublicized design changes the company’s Starship and Super Heavy (BFS & BFB) have undergone in 2018.
Beside information ranging from discussions of metallurgy to overall design philosophy and comparisons, the eccentric CEO also offered the most concrete target yet for the beginning of prototype spaceship (BFS/Starship) hop tests in South Texas – “March/April [2019]”.
I will do a full technical presentation of Starship after the test vehicle we’re building in Texas flies, so hopefully March/April
— Elon Musk (@elonmusk) December 22, 2018
On one hand, this expeditious new testing schedule – acknowledged by Musk himself to be “much sooner than expected” – is a thrilling prospect, given that it implies that a nearly full-scale prototype of Starship (or something vaguely approximating the spacecraft) could take its first baby steps into the air as early as the first quarter of 2019. On the other hand, however, this is an almost bafflingly large schedule change considering that SpaceX President and COO Gwynne Shotwell asserted that a prototype of BFS (now Starship) could begin “hopping” by late 2019, speaking in September 2018.
Shotwell: think we’ll be “hopping” the second stage of BFR (the BFS) late next year. #DARPA60
— Jeff Foust (@jeff_foust) September 6, 2018
Schedules (especially aerospace program schedules) do certainly tend to be chaotic and jumpy, but it’s almost inconceivable that any given project – regardless of the scope or scale – could wind up reaching completion nine months earlier than previously forecasted without suffering one or several dramatic compromises, typically involving lower-fidelity testing and prototypes or watered-down deliverables. It’s unclear if BFR has suffered the same fate, but – to put it lightly – the South Texas sight greeting the eyes of close followers of SpaceX’s BFR program is downright unbelievable.
BFWhat?!
Given the very recent and conspicuous additions of triangular appendages that look precisely like rudimentary fins and an obvious nose cone assembly, the only possible conclusion to draw from photos of SpaceX’s Boca Chica facilities taken in the last week or two is that the company (and/or contractors) are busy building something related to Starship. At least in these early stages, the… thing being built could be best described as what might come to mind if you asked an imaginative kid to build a full-scale sculpture of Tintin’s spaceship on a budget of maybe $500,000.
You got something to show us in Texas? pic.twitter.com/vBF0WwwIfF
— Robotbeat🗽 ➐ (@Robotbeat) December 22, 2018
More likely than not, this could be a case of things being more than they seem. To most, it may almost look like an elaborate prank, but that assumes that we know the full story and have a decent working understanding of aerospace prototyping. For the vast majority of us, that is simply not the case – what looks like a spade is probably not a spade.
At the end of the day, the most basic of observations – that this purported ‘Starship prototype’ will begin hop tests with extraordinarily powerful Raptor engines installed as few as three months from now – suggest that this spooky metal contraption will be used to conduct the most basic of Starship tests. As such, it will probably never travel much faster than Falcon 9’s Grasshopper and F9R predecessors, which tended to gently accelerate from the ground to as high as a kilometer or two before slowly heading back down for a powered landing.
- What now seem to be extremely rough fin outlines were welded to the main steel cylinder like giant metal straws. (bocachicagal – NASASpaceflight)
- ¯\_(ツ)_/¯ (bocachicagal – NASASpaceflight)
- SpaceX recovery technicians work on Falcon 9 with similar cherry-picker lifts, offering a sense of scale of the new Starship water tower. (Pauline Acalin)
- A conspicuous nosecone appears to have arisen inside SpaceX’s new Boca Chica tent, adjacent to what looks like a water tower with tube legs. (bocachicagal – NASASpaceflight)
- (bocachicagal – NASASpaceflight)
Given that SpaceX has already refined this complex and challenging task to a reliable science with Falcon 9 and Merlin 1D, it’s unclear why a very similar test campaign would be of serious value to the company without simultaneously testing full-fidelity control surfaces (fins), exotic new stainless steel propellant tank technologies, and more. Perhaps SpaceX just really wants to ensure that Starship will be capable of landing and taking off from an unprepared and angled surface of the type it could (will?) experience on Mars. Maybe the company simply wants to have a bare-minimum flying platform capable of testing and refining multi-engine configurations of Raptor.

All that can be said for sure at the moment is that the public simply does not have the full story to explain the moderately shocking activity going on in Boca Chica. Musk did state that he would provide another technical update on the status of Starship and the BFR program as a whole in the first half of 2019, but only after the first Starship hopper flights have begun. It would seem that those on the sidelines will simply have to wallow in confusion and wild speculation for another ~3-4 months at minimum, hopefully only going moderately insane as a result.
In the meantime, copious thanks are owed to NASASpaceflight members bocachicagal and Nomadd for their relentless and thorough coverage of SpaceX’s activities in the obscure far south of the Texan coast, as well as their courteous permission for media outlets like Teslarati to republish their photos. Cheers!
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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.”
News
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.




