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SpaceX loses record-breaking rocket booster after sixth successful Starlink launch
SpaceX has suffered its second rocket landing failure of 2020 despite the fact that both lost Falcon 9 boosters successfully launched 60 Starlink satellites, an anomaly that CEO Elon Musk says will need a “thorough investigation”.
After a rare last-second launch abort on March 15th and a three-day range-related delay, Falcon 9 booster B1048 lifted off with 60 upgraded Starlink v1.0 satellites on its fifth orbital-class mission. At least for the first two and half minutes, the booster performed precisely as intended, carrying a fueled upper stage and its ~16 metric ton (36,000 lb) payload to an altitude of 55 km (34 mi) and a velocity of 1.8 km/s (1.1 mi/s). However, about 10 seconds before the booster reached main engine cut-off (MECO) and stage separation, something went wrong.
While there is some ambiguity in his response, according to Musk, at least one of Falcon 9 B1048’s nine Merlin 1D engines performed an early shutdown before MECO. The rocket’s computer immediately accounted for the anomaly, extending the remaining eight-engine booster burn 5-7 seconds beyond the nominal timeline to ensure mission success. While the booster’s loss is still disappointing and the premature engine shutdown more than a little concerning, it’s critical to remember that mission success was ensured. Just 15 minutes after liftoff, the rocket’s upper stage successfully spun up and deployed another 60 Starlink satellites, bringing SpaceX’s operational constellation to an incredible ~350 satellites.
Based on live views available from SpaceX’s launch webcast, it appears that Falcon 9’s “early engine shutdown” is more of a euphemism for a fairly violent engine failure that triggered an instantaneous cutoff, preventing damage elsewhere. While SpaceX would certainly rather avoid in-flight engine failures, Falcon 9’s nine Merlin 1D booster engines are installed inside an aluminum ‘octaweb’ structure that transmits their thrust to the rest of the rocket but also effectively quarantines each engine in a blast-proof bunker.
Nevertheless, the rocket’s highly-attuned software and affected octaweb engine bunker did their jobs, instantly shutting the failing engine down while also preventing the explosion and resulting shrapnel from damaging the rest of the rocket. More likely than not, B1048’s autonomous decision to always put mission success before booster recovery lead the booster to expend a majority of the propellant needed for its landing attempt to make up for the 10 or so seconds operating at only ~89% thrust.
As a result, B1048 may have simultaneous subjected itself to a much more extreme atmospheric reentry and run out of propellant before it could complete (or maybe even start) its drone ship landing burn. There’s also a chance that the engine that failed was one of the three engines required for reentry and landing burns, an asymmetry that would be impossible to overcome on the fly. Ultimately, the booster likely impacted the ocean at a near-supersonic velocity, smashing it into aluminum confetti. Thankfully, the late B1048 had a record-breakingly productive career as an orbital-class booster, placing dozens of tons of payload into orbit over five successful launches. Its loss is regrettable but the booster has more than earned its keep.
Aside from two twice-flown Falcon Heavy Block 5 side boosters of unknown status and 2-3 new boosters assigned to critical NASA and US Air Force missions, SpaceX’s fleet is now down to just three flightworthy Falcon 9 boosters. This could dramatically limit its options for near-term commercial flights, as none of those rockets – even assuming flawless launch and landing debuts – will likely be ready for their first reuses until May or June. Meanwhile, B1051 and B1049 have three and four missions under their respective belt and both completed their last launches just 50-70 days ago, while B1059 flew for the second time just two weeks ago. Despite the fact that it successfully completed its fifth mission, B1048’s in-flight engine failure will almost certainly delay upcoming launches, although the degree of those delays is up for debate.
Up next for SpaceX is SAOCOM 1B, an Argentinian radar satellite set to become the first payload launched into a polar orbit from the US East Coast in half a century. Before B1048’s anomaly, the mission was scheduled to launch no earlier than March 30th and could use any of unassigned boosters described above
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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
