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SpaceX tests extra-fast ocean landing, celebrates 50th launch
The happy tragedy of 1044
SpaceX has successfully completed the 50th launch of Falcon 9 a bit less than eight years after its 2010 debut, and has done so in a fashion that almost perfectly captures the veritable tsunamis the company has begun to make throughout the global aerospace industry. After a duo of delays due to hardware issues and range conflicts, this evening’s launch successfully placed Hispasat 30W-6 into a geostationary transfer orbit (GTO), where the massive ~6100 kilogram communications satellite will now spend several months raising its orbit to around 36,000 km (22,000 miles) above Earth’s surface.
Falcon 9 flight 50 launches tonight, carrying Hispasat for Spain. At 6 metric tons and almost the size of a city bus, it will be the largest geostationary satellite we’ve ever flown.
— Elon Musk (@elonmusk) March 5, 2018
Aside from becoming the heaviest commsat the company has yet to launch into GTO, the mission’s anticipated landing attempt stirred up quite a bit of intrigue and uncertainty in the spaceflight fan community. Stormy Atlantic seas, partially connected to the chaotic weather recently seen on the East coast, proved to be far too dangerous for SpaceX’s eastern recovery fleet and its drone ship, OCISLY, and they returned to Port Canaveral around 48 hours ago, under the watchful eyes of many anxious SpaceX followers. Tragically, this means that the brand new Falcon 9 booster (B1044) – originally expected to attempt perhaps the most difficult landing yet – had to be expended. Although the booster went through its paces as if it were preparing to land, it found no drone ship beneath it once it reached sea level, and subsequently dunked into the stormy Atlantic seas.
However, due to the last-minute nature of SpaceX and Hispasat’s decision to expend the booster rather than delay for better recovery conditions, launch technicians at Pad 40 simply did not have time to remove the rocket’s iconic landing legs and valuable titanium grid fins – the first time their titanium iteration has been chosen for a Falcon 9 to resist extreme reentry heating. Due to massive swells, recovery of even pieces of the expended booster – theoretically following a soft landing – will not be possible, as no SpaceX recovery vessels remained at the planned point of touchdown 400 miles off the Florida coast. Notably, following the successful inaugural flight of Falcon Heavy, CEO Elon Musk stated that upgraded titanium grid fins were “super expensive” and unequivocally “the most important thing to recover.” SpaceX’s decision to expend Falcon 9 B1044 without even sparing the time to remove the booster’s recovery hardware and titanium fins demonstrates just how focused the company is on its customers’ needs. In the case of geostationary communications satellites like Hispasat 30W-6, launch delays on the order of a few days can cause millions of dollars of financial harm to the parent company – each day a satellite spends on the ground orbit is also a day with no revenue generation, a less-than-thrilling proposition to shareholders.
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- Falcon 9 1044 lifts off for its first and last time in a breathtaking display of power. (Tom Cross)
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- Falcon 9 1044 vertical at Pad 40 around 72 hours before launch. (Tom Cross)
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- Booster 1044 displays its number one last time. (Tom Cross)
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- RIP B1044’s titanium grid fins. May they make a happy little reef at the bottom of the ocean. (Tom Cross)
B1044 sadly lost any hope at a second flight, but the data SpaceX gathered from its uniquely fast reentry and attempted soft-landing will hopefully pave the way for the recovery of Falcon 9 and Heavy boosters after all but the heaviest satellite launches. GovSat-1, a launch that saw its flight-proven booster famously survive a similarly hot landing in the ocean, was the first largely successful test of this new and experimental method of more efficiently recovering Falcons. By igniting three of its nine Merlin 1D engines instead of the usual single engine while landing, Falcon boosters can theoretically reduce the amount of fuel needed to safely land, fuel savings that can then be used to push its payloads higher and faster. However, the downsides of this approach are several. With three times as many engines igniting at landing, the margin of error for a successful landing becomes downright miniscule – the tiniest of problems with ignition, throttle control, or guidance could cause the rocket to smash into the drone ship at considerable speed. Additionally, triple the landing thrust would subject the booster to as much as 10Gs of acceleration (10 times the force of Earth’s gravity), forces that would almost instantaneously cause the average human (and even specially trained fighter pilots) to black out.
This rocket was meant to test very high retrothrust landing in water so it didn’t hurt the droneship, but amazingly it has survived. We will try to tow it back to shore. pic.twitter.com/hipmgdnq16
— Elon Musk (@elonmusk) January 31, 2018
Regardless of 1044’s untimely demise, another successful mission for SpaceX is purely positive. Happy customers make for a happy company, and SpaceX has achieved an incredible consistency of success in the last year alone. The loss of a new, potentially-reusable Falcon 9 booster is sad, but it only serves to foreshadow the imminent introduction of Falcon 9 Block 5, an upgrade hoped to realize Elon Musk’s decade-old dream of rockets that can be reused as many as 10 times with minimal refurbishment, and 100 times with maintenance. That debut could occur as early as April, just a month away.
https://twitter.com/_TomCross_/status/970900892005359617
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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
