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SpaceX deploys rocket recovery fleet for next Starlink launch
So far this year, SpaceX has launched nine missions, including sending two astronauts to the International Space Station. But the California-based rocket builder is not slowing down. On the heels of two successful missions just days apart, SpaceX is preparing to launch its 10th rocket of the year.
Estimated for liftoff from Space Launch Complex 40 on June 12, a Falcon 9 rocket will take to the skies, lofting yet another batch of Starlink satellites. This marks the sixth Starlink launch of 2020, and with another two launches on the books for June, this puts SpaceX on track for a record launch pace.
To prepare for the upcoming launch, SpaceX’s fleet of recovery ships have left the Port and are on their way to their designated recovery zones.
On Tuesday, Go Ms Chief and GO Ms Tree, SpaceX’s two mobile fairing catchers left Port Canaveral on their next attempt to catch some falling fairings. To date, Ms. Tree had had 3 successful catches out of 13 attempts, and Ms. Chief has yet to snag a fairing. Perhaps this mission, if the weather cooperates, we may see an epic double catch.
Following the last Starlink mission, neither ship was able to catch a fairing, but instead fished them out of the ocean. Once the vessel returned to port, eagle-eyed onlooks were able to snap some images of the returned fairings. One appeared to be damaged, while the other looked like some simple refurbishments would get it back to flying shape.
To date, SpaceX has flown recycled fairings on three missions, and aims to continue that practice. The fairing, also known as the nose cone, protects the rocket’s payloads and it flies through the atmosphere. The fairings are jettisoned at a specific point in flight, and have historically been discarded in the ocean.
However, these two pieces of hardware account for nearly one tenth the price of the entire rocket, which is why SpaceX wants to reuse them. Each piece fetches a price tag of $3 million, so by reusing them, SpaceX could save as much as $6 million permission.
To that end, the company has outfitted two boats, Ms. Tree and Ms. Chief, with giant nets. Acting as mobile catcher’s mitts, the boats sit in a designated recovery zone, waiting for the falling fairing half to glide into its outstretched net.
During the last Starlink mission, rough seas interfered with the boat’s attempt at a catch. However, SpaceX was able to recover at least one fairing piece in tact and will aim to try again on Friday’s mission.
SpaceX also recently released video footage of the fairing jettisoning during the last Starlink launch.
The twin fairing catchers are not the only boats headed out to seas. After returning the Demo-2 booster to Port, SpaceX’s drone ship Of Course I Still Love You, has once again departed Port Canaveral on a quest to catch a booster.
It’s counterpart, Just Read the Instructions, recently completed its first booster recovery in the Atlantic, as it previously serviced SpaceX’s West Coast launch operations. Now that the company has two drone ships operating in the same ocean, we could see an uptick in launches and landings.
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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
