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Elon Musk talks upgrades after SpaceX Starship launches, explodes in midair
SpaceX has completed its fourth Starship test flight in as many months, offering the latest glimpse into the often frustrating reality of a highly iterative, hardware-rich rocket development program.
Right on schedule, SpaceX Starship prototype serial number 11 (SN11) lifted off from Boca Chica, Texas at exactly 8am CDT (UTC-5) – all but completely cloaked in a thick layer of fog. While unfortunate for any unofficial observers (and possibly SpaceX’s own desire to gather video footage of a test flight), SpaceX has experience launching rockets (namely Falcon 9) in thick fog thanks to its Vandenberg Air Force Base launch site on the California coast.
As such, fog theoretically poses no fundamental threat to rockets like Starship, but SN11 still took the opportunity to explore new and exciting failure modes shortly before touchdown. CEO Elon Musk himself didn’t take long to weigh in and has even offered some details and a schedule for upgrades planned for SpaceX’s next-generation launch vehicle – upgrades hoped to alleviate whatever issues led to Starship SN11’s premature demise.
First and foremost, due to the fog, the general public saw virtually nothing throughout the launch attempt. Remote streaming cameras set up near SpaceX’s launch facilities – now, excitingly, with the company’s own permission – did manage to catch some level of detail, providing the bare minimum level of insight needed to speculate on SN11’s failed landing attempt.
Per an official webcast and NASASpaceflight’s unofficial “Danger-Close Camera,” installed a few hundred feet from the launch site with SpaceX’s permission, Starship lifted off at exactly 8am and had a seemingly nominal ascent, reaching a familiar 10 km (6.2 mi) apogee around four minutes later. SN11 then arced over onto its belly and free-fell for ~100 seconds. Aside from a few intermittent fires burning on some of the rocket’s three Raptor engines, not an uncommon sight since SN8 first flew, nothing appeared particularly out of the ordinary.
At T+5:49, however, things rapidly went wrong. Still belly-down, Starship SN11 attempted to reignite all three of its Raptor engines to propulsively flip into a vertical landing position. After at least one seemingly successful reignition, SpaceX immediately lost onboard video and telemetry feeds. Based on NASASpaceflight’s pad-adjacent camera, a substantial explosion followed one or two seconds after that attempted ignition, ending Starship SN11’s test flight around 20 seconds earlier than any of its three late siblings.
Debris began to visibly hit the ground another 5-10 seconds after that explosion was first heard, all but guaranteeing that Starship SN11 exploded in midair. At this time, it’s impossible to know what exactly went wrong, but there are two clear possibilities. Starship SN11 could have failed to reignite two or even all three Raptor engines, triggering onboard flight termination system (FTS) explosives designed to prevent the rocket from straying beyond a safe zone of operations. More likely, Starship suffered a substantial failure during that reignition and flip attempt, triggering an almost immediate explosion that tore the rocket apart around half a kilometer (~1500 ft) above the pad and landing zone.
Shortly after, Musk said that Raptor “engine #2 had issues on ascent” that were notable but not enough to explain a violent midair failure and confirmed that whatever went wrong came “shortly after landing burn start.”
Musk offers Starship upgrade schedule, details
Having suffered a failure a bit less than six minutes after launch, Starship SN11 – the fourth three-engine, high-altitude prototype – was ironically the farthest from a successful landing before something went wrong: one step forward, two steps back. While unfortunate, SpaceX still got some amount of data and uncovered one or several new failure modes – arguably the two of the most important primary goals of any developmental flight test program.
Further, Musk revealed that SpaceX intends to complete and roll Starship SN15 to the launch pad just “a few days” from now – certainly earlier than expected. While the SpaceX CEO didn’t go much into detail, he reaffirmed that SN15 would bring substantial upgrades, stating that “it has hundreds of design improvements across structures, avionics/software, & engine[s].”
Musk also touched on SpaceX’s near-term plans after SN15’s upgrade path, confirming that Starship prototypes from SN20 onwards will be “orbit-capable” with even more improvements. That seemingly delineates three clear ‘blocks’ of Starship prototypes, beginning with SN8 through SN11, proceeding with SN15 through SN19, and (nominally) gearing up for true orbital-class test flights with prototype SN20 and its successors. All told, SN11’s midair demise appears likely to be just a small blip in front of a jam-packed, well-structured series of Starship upgrades and flight tests just over the horizon.
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
