News
SpaceX almost loses Falcon 9 booster at sea
After more than a week at sea, the SpaceX Falcon 9 booster responsible for the company’s 100th successful landing finally returned to port on Wednesday, revealing that it nearly toppled into the sea during the recovery process.
Falcon 9 B1069 completed its first launch without issue early on December 21st, carrying a reused Cargo Dragon capsule into space and sending it on its way towards orbit and the International Space Station (ISS). Nine minutes after liftoff, it touched down on drone ship Just Read The Instructions (JRTI) without any apparent issue, more or less hitting the platform’s painted bullseye. While it’s difficult to determine with certainty, B1069 appeared to be in fine condition after landing, standing roughly straight up with all nine Merlin 1D engines well above the drone ship’s deck.
That was decidedly not the case when the once-flown Falcon 9 booster finally sailed into Port Canaveral eight and a half days later.
There remains plenty of ambiguity about how exactly things transpired after the landing but when B1069 was finally within eyeshot, the booster was significantly damaged, riding low on all four legs, inches away from falling off the drone ship’s deck, and only partially attached to the “Octagrabber” robot tasked with securing it. Based on photos of the damaged rocket taken by Teslarati photographer Richard Angle, most or all of B1069’s nine Merlin 1D (M1D) engines suffered likely irreparable damage to their fragile bell nozzles.
From the ragged nature of the damage to those nozzles, it appears that B1069 somehow fell on top of the drone ship’s Octagrabber robot during or after its recovery attempt, as the creases would be far cleaner if the booster had merely landed hard and pressed its M1D nozzles against the deck. But a very short fall onto Octagrabber still doesn’t quite explain the apparent damage to one of the booster’s landing legs or the fact that it’s sitting lower to the deck than usual – both potentially indicative of a hard landing.
What is clear, though, is that SpaceX struggled to secure the rocket shortly after its first landing. Per the CRS-24 webcast, B1069 landed just shy of dead center. Likely as a result of poor sea conditions, SpaceX was unable to quickly grab the booster with Octagrabber, which uses giant clamps and its own weight to hold Falcon first stages in place. B1069 then clearly slid around drone ship JRTI’s deck at the whim of the ocean. Before SpaceX could secure it, the booster slammed into the side of the drone ship hard enough to partially flatten a steel safety barrier that runs along its port and starboard beams – a barrier specifically put in place to prevent wayward boosters from sliding off the deck.
Thankfully, above all else, there is no obvious reason that SpaceX won’t be able to repair the damage that was wrought. Replacing all nine of B1069’s engines will heavily delay the booster’s return to flight and probably singlehandedly cost SpaceX at least $5-10 million, but that cost is still far less than scrapping it and building a new booster. Aside from that, it’s possible that B1069’s fall will preclude strict customers like NASA or the US military from reusing the booster to launch their payloads, which the booster would have otherwise been a shoo-in for with just a single NASA launch on its record.
While CRS-24 and B1069’s dramatic return was SpaceX’s last launch and booster recovery of the year, the company did safely recovery several other boosters sans damage in the days and weeks prior. On December 14th, Falcon 9 B1061 was spotted being craned onto dry land after its fifth launch – NASA’s tiny IXPE X-ray space telescope.
Falcon 9 booster B1067 arrived at Port Canaveral not long after but spent most of the winter holiday sitting on drone ship A Shortfall of Gravitas (ASOG) as many SpaceX employees took a well-deserved break. The thrice-flown booster was ultimately lifted onto the dock and broken over a few days before B1069 finally sailed into port, setting it up for a fourth launch in the very near future.
Ultimately, while the damage B1069 and JRTI’s Octagrabber seemingly suffered are a significant annoyance and will take a good deal of time and money to fix, SpaceX still has ten other operational Falcon 9 boosters ready to support a potentially record-breaking 2022 launch manifest.
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
