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SpaceX Falcon 9 booster returns to port on a drone ship for the first time in six months
On November 15th, Falcon 9 booster B1048 returned to port aboard a SpaceX drone ship, the first such return in almost half a year. With that arrival, SpaceX also completed a critical Falcon 9 Block 5 reusability milestone, paving the way for B1048 to continue setting records.
On November 11th, Falcon 9 B1048 made history when it lifted off with 60 Starlink v1.0 satellites, becoming the first rocket booster to launch four separate orbital-class missions. Approximately eight and a half minutes later, B1048 also become the first orbital-class rocket booster to land after its fourth successful launch, setting the vehicle up to be SpaceX’s path leader for future nth-reuse milestones, starting with the first 5th flight in the near future.
Starlink v1.0’s November 11th launch effectively marked the start of SpaceX’s operational satellite constellation deployment, every mission of which will be an opportunity for the company to test new reusability firsts and reduce the risk before certain flight-proven hardware is offered to commercial customers. Company executives have recently indicated that SpaceX hopes to launch as many as 24 Starlink missions – each carrying ~60 satellites – in 2020, giving SpaceX a huge number of opportunities to push the envelope of booster and fairing reusability.
On the ~650 km (340 mi) trip back to Port Canaveral from drone ship Of Course I Still Love You’s (OCISLY) Atlantic Ocean recovery position, the ship – towed by tug Hawk – was forced to briefly divert northwest to escape high seas, but Falcon 9 B1048 was secured by the drone ship’s Octagrabber robot, preventing it from suffering a fate similar to Falcon Heavy booster B1055. By all appearances, the thrice-reused Falcon 9 booster survived the weather and swells unscathed, even as OCISLY itself was visibly banged around, damaging a generator and antenna.
After OCISLY and B1048 arrived in Port Canaveral on the 15th, SpaceX recovery technicians quickly craned the booster off of the drone ship, placing it on the company’s dockside rocket-processing stand. It appears that SpaceX intends to retract B1048’s four carbon fiber landing legs, potentially in a bid to rapidly turn the booster around for a second Starlink v1.0 mission before the end of 2019.
B1048.4’s in-port recovery operations also marked the first time SpaceX has used Port Canaveral’s brand new mobile crane, delivered to the port in January 2019.
While B1048 has become the first Falcon 9 booster to launch four orbital-class missions, SpaceX has another two thrice-flown flightworthy boosters (B1046 and B1049), the former of which is preparing for its own fourth launch as early as December 2019. B1046 is assigned to Crew Dragon’s In-Flight Abort test, a mission that will almost certainly destroy the booster and its inert upper stage when Crew Dragon attempts to escape the rocket while traveling at supersonic speeds. B1049 could support another Starlink mission or the commercial debut of a thrice-flown SpaceX booster and is likely already set for flight after it completed its third launch nearly six months ago.
Coincidentally, B1048’s Nov. 15 port return was SpaceX’s first drone ship recovery since B1049’s third launch and landing, which saw that booster arrive in port in late May 2019. That nearly six-month gap is one of the longest SpaceX has gone without an ocean recovery since Falcon 9’s first successful drone ship landing in April 2016. With any luck, Starlink will ensure that a similar lull is just shy of impossible until Starship takes over and Falcon 9/Heavy is fully retired, likely a solid half a decade away.
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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
