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SpaceX nails Starlink launch but narrowly misses landing after fastest booster reuse yet
SpaceX has successfully completed its fifth launch of 60 Starlink communications satellites but suffered a surprising landing failure, an exceedingly rare reminder of just how quickly the company has made Falcon rocket reusability feel routine.
As previously discussed, despite the booster’s apparent demise in the Atlantic Ocean, SpaceX did nevertheless break its internal turnaround record with Falcon 9 B1056, launching the booster twice in just 62 days. While unfortunate, it’s important to remember that today’s Starlink mission (Starlink V1 L4) was B1056’s fourth launch in 10 months – an extraordinarily productive career relative to any other orbital-class rocket in existence.
Still, the fact remains that even in a best-case scenario, B1056 has probably reached an early grave and is unlikely to support any future launches. The Falcon 9 booster’s missed landing is the first in almost 15 months and the second to fail because of inaccurate navigation. Based on an uninterrupted live feed provided by drone ship Of Course I Still Love You (OCISLY), there is even a chance that SpaceX’s last Falcon 9 landing failure will be precisely replicated, meaning that another booster could very well be stranded – intact – at sea.
Back in December 2018, Falcon 9 booster B1050 successfully completed the primary goal of its launch debut, sending SpaceX’s CRS-16 Cargo Dragon spacecraft and a Falcon upper stage on their way to orbit. Around seven minutes after liftoff, it became clear that something was wrong with the booster as it began to spin about in an unusually violent manner. About a minute later, still spinning, the Falcon 9 booster deployed its landing legs and performed a nearly flawless soft landing. The only problem: B1050’s soft landing occurred in the Atlantic Ocean instead of the actual target, one of SpaceX’s two Cape Canaveral landing pads (LZ-1/2).
As a result, the Block 5 booster found itself almost entirely intact and floating in the Atlantic Ocean. Because it was just a handful of miles away from Port Canaveral, SpaceX was able to rapidly dispatch a recovery team and eventually managed to bring the booster back into port and onto dry land a few days after its landing anomaly. While CEO Elon Musk indicated at the time that there was at least a chance B1050 could be refurbished for another flight, the booster has unsurprisingly not launched again and probably never will. Falcon 9 may be designed to tolerate extreme weather but “submersion in seawater” is undoubtedly a major stretch.
Still, the point is that there’s a good chance that Falcon 9 B1056 is more or less intact in the Atlantic Ocean after its inaccurate – but seemingly controlled – February 17th landing. Given that B1056, drone ship OCISLY, and support ship GO Quest are all some 630 km (390 mi) from Port Canaveral, there is almost no chance that SpaceX will go to the extraordinary effort of dragging a floating B1056 – even if perfectly intact – all the way back to Florida. It’s not an impossibility, however.
Based on the fact that B1056 kicked up visible sea spray just a few hundred feet from OCISLY’s deck, as well as the distinct lack of an obvious explosion, it looks likely that the Falcon 9 booster suffered some kind of navigational failure. It’s possible that it experienced the same hydraulic failure that disabled B1050’s four grid fins, but a new kind of failure – like anomalous GPS readings, a broken laser altimeter, failed Merlin 1D engine thrust vectoring, or something more complex – could be the ultimate source of the missed landing.
Regardless of whether parts or the entirety of the booster can be recovered, SpaceX will almost certainly learn a lesson (or several) from Falcon 9 B1056’s premature demise, hopefully allowing future rocket landings to avoid the same fate. Most importantly, today’s primary objective – placing 60 new Starlink satellites in orbit – was a flawless success, even if B1056’s loss is still a blow. SpaceX’s next Falcon 9 launch is currently scheduled no earlier than (NET) March 2nd and is unlikely to be delayed by today’s events.
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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
