News
SpaceX may have missed a rocket booster landing but it snagged both nosecone halves
Although SpaceX sadly lost a record-breaking rocket booster and suffered a significant in-flight anomaly during its sixth Starlink launch, the company later revealed that it successfully recovered both of Falcon 9’s nosecone halves.
Starlink V1 L5 is now the second time ever that SpaceX – or anyone, for that matter – has successfully reused an orbital-class launch vehicle payload fairing, while the mission also marked the first time that SpaceX managed to recover a reused Falcon fairing. The burn from booster issues certainly isn’t fully salved, as twin fairing catchers Ms. Tree and Ms. Chief both missed their fairing catch attempts, but both twice-flown fairing halves were still successfully scooped out of the Atlantic Ocean before they were torn apart.
This is perhaps the most important milestone for SpaceX’s fairing recovery and reuse program since the first successful catch (June 2019) and first successful reuse (November 2019). With a twice-flown fairing now safely in hand for the first time, SpaceX will hopefully be able to dramatically expand its understanding of how flight-proven fairings – especially those that were fished out of the sea – stand up to launch conditions. If these flight-proven halves appear to be in great condition, it could be a boon for the near-term future of fairing recovery and reuse.
Catching fairings = hard
SpaceX has now been attempting to catch Falcon payload fairings for more than two years, beginning back in February 2018 after many months of additional development prior. The first successful catch came on the sixth post-launch attempt, followed immediately by a second successful catch two months later (August 2019). That back-to-back recovery appears to have been a bit of a fluke, however, with only one additional partial success (one of two ships caught a half) out of the five subsequent attempts.
By all appearances, accurately and reliably catching parasailing Falcon fairings is a spectacularly unforgiving challenge. That shouldn’t come as a huge surprise: each Falcon fairing will typically reach top speeds of 2.5+ km/s (1.5+ mi/s), technically reach space (100+ km or 63+ mi), and travel 500-1000+ km (300-600 mi) downrange before even remotely entering the vicinity of the ships designed to catch them out of the air.
Likely weighing just ~1000 kg (2200 lb) apiece, the lightweight, sail-like nature of SpaceX’s carbon fiber-aluminum honeycomb payload fairings is both a blessing and a curse. While it means they can effectively reenter Earth’s atmosphere at hypersonic velocities with next to no heat shield, it also means that free-falling and parasailing fairing halves are at the full mercy of said atmosphere after reentry, bowing to winds and air currents like dandelions in a breeze.
Fairing halves ultimately spend something like 30-40 minutes parasailing through the atmosphere after parafoil deployment, creating vast uncertainties when it comes to local weather and the general behavior of the atmosphere. Even excluding weather, the average fairing catch attempt is roughly akin to throwing an average marble into a kitchen sink from more than a kilometer (0.8 mi) away.
Soft ocean landings: quite a bit easier
What SpaceX has effectively discovered is that while catching fairing halves may be almost comically difficult, recovering the same halves intact is easily doable if the goal instead is to gently pick them up off the ocean surface. Of the eleven catch attempts SpaceX has made, all but two were followed by recovery vessels extracting one or both fairing halves -intact – from the ocean.
Most notably, though, SpaceX has yet to reuse any of the three Falcon fairing halves that were caught with Ms. Tree. Instead, both the first and second reuses used fairing halves that had been fished onto recovery ships after gentle Atlantic Ocean landings.
SpaceX has ultimately chosen to tackle the much harder reusability challenge – reusing fairings that have been partially immersed in saltwater – first, and done so quite successfully. Critically, the first reused fairing was unable to be recovered – even by sea – due to bad weather in the area, meaning that Wednesday’s recovery was a first for rare flight-proven fairing hardware. Given all the challenges Falcon fairings face with water sealing, corrosion, and contamination after water landings, it would be little surprise to learn that the second reused fairing is not exactly in pristine condition.
However, if it looks as good or better than SpaceX’s less-informed expectations, there’s a chance that it could open the floodgates for the full-scale pursuit of routine waterlogged fairing reuse. Even better, if the Starlink v0.9 and V1 L5 fairing halves have been recovered in great condition, there might be a chance to reuse Falcon fairings multiple times, following in the footsteps of the rocket boosters they launch on top of.
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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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
