News
SpaceX’s Starship prototype proceeds at breakneck pace towards hop tests
Well illustrated by recent drone photos of SpaceX’s up-and-coming Boca Chica, Texas facilities, dozens of SpaceXers and local contractors have congregated at the company’s Starship prototype work site over the last few weeks, progressing it from an empty tent and a collection of parts to a handful of large assemblies for what appears to be the first full-scale Starship hopper.
Much like Falcon 9’s Grasshopper and F9R (Reusable) hop test articles, this ungainly Starship hopper – standing an impressive 9m (29.5 ft) wide and ~40m (131 ft) tall – appears all but guaranteed to become the first integrated BFR hardware to take flight, hopefully supporting a productive series of low-altitude hop tests from a roughly-prepared South Texas pad.
https://twitter.com/austinbarnard45/status/1079402956603248641
Since SpaceX CEO Elon Musk took to Twitter to provide a number of updates on and photos of the company’s dramatically refigured approach to BFR (now Starship and Super Heavy), employees and local contractors have been working almost around the clock to keep building the first full-scale, integrated Starship test article. To be dedicated to low-speed, low-altitude hop tests, Starhopper has been a spectacle and scandal from the start thanks to an unshakable visual aesthetic reminiscent of 1950s science fiction or an elaborate and slow-burning April Fool’s prank.

As of now, several dozen tweets and tweet replies from Musk in just the last week offer extensive support for the unorthodox new design – replacing carbon composites and an ablative heat shield for a new stainless steel alloy and liquid cooling – while also firmly indicating that the object taking shape in South Texas really is a Starship hopper that will eventually take to the skies on a pillar of Raptor engine exhaust. Those inaugural hop tests could apparently begin as early as March or April 2019. Given Musk’s statements, it seems that this highly unusual Starship hop test program simply cannot be judged accurately by its cover, at least not easily.
Even for SpaceX, building an aerospace-grade prototype of a massive orbital spaceship outdoors – adjacent to soggy Texan marshland and Gulf of Mexico sea spray, no less – is utterly and completely unexpected, especially in an industry where rocket hardware is routinely fabricated indoors, if not in medical-grade clean rooms. The most likely explanation here is that we are seeing something more akin to the aeroshell or cocoon of a Starship hopper, with a huge amount of thought and debate ultimately landing on this oddity as the fastest, most affordable, and most data-rich path forward for full-scale BFR testing.
- A welder can be seen attaching a patch layer over each panel layer gap on Dec. 30. (NASASpaceflight /u/bocachicagal)
- A lifting sling is seen here attached to Starhopper’s bottom half prior to its first lift and move. (NASASpaceflight /u/bocachicagal)
- Before the move… (NASASpaceflight /u/bocachicagal)
- And after the move. (NASASpaceflight /u/bocachicagal)
- The leftmost mockup was stitched together from NASASpaceflight user bocachicagal’s on-site photos by Thomas Lacroix. The TL;DR of this is that Starhopper appears to be a solid three-quarters the height of a full 2018 BFS. (SpaceX, NASASpaceflight, Thomas Lacroix)
In this speculative instance, the sensitive liquid methane and liquid oxygen propellant tanks – as well as Starhopper’s triple-Raptor thrust structure and spaghetti plumbing – would be fabricated in SpaceX’s Hawthorne, CA factory or McGregor, TX test facilities before being shipped to Boca Chica for integration with the large structures already in work there. Those Raptors, propellant tanks, and a general program of fit-and-finish optimizations are next on the list of significant Starhopper-related events expected to occur within the next several months.
The latter task has already begun, showing up in the form of sheet metal refinement by way of essentially stitching together loose panel gaps between and within sheet-covered sections of Starhopper’s shiny silver nose. SpaceX workers also conducted the first move of the fully-integrated hopper’s base section, previously built and then sat atop a ready-made concrete stand that may or may not have come from a water tank design. While the move was slight, the base and nose sections are now roughly side-by-side along the apron of SpaceX’s temporary tent, where a third Starhopper hull segment is being built up.
2019 is going to be wild and March/April simply cannot come soon enough.
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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.




