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SpaceX Falcon 9 rockets and drone ship wow with sunset, sunrise port returns

Two boosters, two spectacular port returns, one drone ship, two weeks. (Richard Angle)

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With two back-to-back Starlink launches, SpaceX drone ship Of Course I Still Love You (OCISLY) has returned to port twice in two weeks with Falcon 9 boosters and some of the most beautiful sunrise and sunset backdrops yet seen.

Two days after its sixth successful launch and drone ship landing, Falcon 9 booster B1060 sailed into Port Canaveral on OCISLY around sunset on March 26th. Two weeks later, the same drone ship returned to port once again, this time carrying Falcon 9 booster B1058 back to land after a flawless seventh launch and landing and near-record-breaking 27-day turnaround.

Virtually identical beyond the boosters that launched them, both B1060 and B1058 were tasked with supporting two missions to deliver batches of 60 new Starlink satellites into low Earth orbit. Of the ten launches SpaceX has completed in 2021, eight have been Starlink missions, altogether placing 490 satellites weighing almost 130 metric tons (290,000 lb) into orbit.

Falcon 9 B1060.6 was greeted by a spectacular Florida sunset on its March 26th return to port. (Richard Angle)

Incredibly, Falcon 9 B1058 and B1060 alone have been responsible for six of those ten launches, making the pair – in no uncertain terms – the shining workhorses of SpaceX’s rocket fleet. Put in a slightly different way, SpaceX is now regularly flying multiple Falcon boosters on an almost monthly basis. With just a handful of similarly-capable boosters, SpaceX could feasibly achieve 60+ Starlink launches annually while still maintaining an almost secondary fleet of (relatively) lightly-used boosters for customer missions.

As it turns out, SpaceX already has three once-flown Falcon 9 boosters of the same age (batch?) as B1058 and B1060 – at least two of which are waiting for crucial flight-proven debuts for NASA and the US military. After acing Crew Dragon’s operational Crew-1 astronaut launch debut last November, B1061 is scheduled to become the first flight-proven liquid rocket booster to launch astronauts with NASA’s Crew-2 mission on April 22nd. B1062, having successfully launched the US military’s GPS III SV04 navigation satellite in November 2020, is scheduled to launch a second GPS III satellite in July 2021 – a first for the US military.

With Starlink-23 under its belt, Falcon 9 B1058 has launched seven times in the last 11 months. (Richard Angle)

Meanwhile, Falcon 9 B1063 may have been transported from California to Florida after successfully launching NASA and ESA’s Sentinel 6A Earth observation satellite and completing SpaceX’s first Vandenberg launch in almost 18 months – also in November 2020. If all three of those new once-flown boosters were to enter SpaceX’s general-purpose fleet after their next major customer missions and prove to be as low-maintenance as B1058 and B1060, those five rockets alone could potentially support an annual cadence of 50-60+ Starlink launches.

It’s also possible that – having finally seen the clear viability of flight-proven rockets writ large – NASA and the US military will effectively choose to keep B1061, B1062, and possibly B1063 primarily in-house, so to speak. Depending on their contracts, by paying SpaceX a premium or forgoing discounts for flight-proven first stages, both could feasibly ensure that those boosters remain mostly (or totally) exclusive to NASA or US military missions.

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Ultimately, whether SpaceX gets to add those comparatively new boosters to its Starlink and commercial fleet, B1058 and B1060 show no signs of stopping and – perhaps alongside B1049 and B1051 – could easily sail past their ten-flight milestones before the year is out. Many, many more spectacular drone ship recoveries to come, in other words.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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