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SpaceX record-setting booster returns to Port in remarkable condition (photos)
SpaceX has successfully recovered its second Falcon 9 in less than a week. Just four days after it launched, booster B1049 returned to sailed into Port Canaveral. The veteran booster is the first to launch and successfully land five times. On June 3, at 9:25 p.m. EDT (0125 GMT on June 4), B1049 took to the skies, delivering another batch of Starlink satellites into orbit.
Now, just three days after a flawless mission, the veteran rocket sailed triumphantly into port. Perched atop SpaceX’s newly remodeled drone ship, Just Read the Instructions (JRTI), B1049’s exterior was visibly more charred after its most recent trip through the atmosphere. This successful landing marks the first mission that JRTI was active in the Atlantic Ocean, as well as the third successful sea recovery in a row for SpaceX.
So far this year, SpaceX has successfully launched nine boosters this year. All but two of them have been recovered—two failed to land on the drone ship. One of those botched attempts was due to some residual cleaning agents trapped inside the engine. That booster, B1048, was SpaceX’s only other booster (so far) to fly five times.
But it surely won’t be the last. B1051 has already completed four successful missions and could see flight again soon. SpaceX has at least two other launches planned for June, including another Starlink launch and the launch of a GPS satellite for the Air Force. That flight will be on a new booster, B1060, per the Air Force’s request.
As it stands now, government payloads require SpaceX to use a new booster, versus a previously flown one. That was also the case for NASA’s commercial crew program. On May 30, astronauts Bob Behnken and Doug Hurley flew to the International Space Station atop a Falcon 9 rocket. The booster, which returned to Port just a few days ago, what a shiny new booster. However, in a recent development, NASA amended the agreement, saying that SpaceX could use previously flown boosters as well as reuse its Crew Dragon spacecraft.
Currently, SpaceX reuses its cargo version of Dragon, but each upgraded cargo (and Crew) variant can be reused as many as five times. Each booster is currently rated for ten flights, with minimal refurbishments in between.
Flying for the 5th time, the #SpaceX #Falcon9 launches from SLC-40 to bring another batch of #Starlink sats to orbit! The first stage was also recovered, marking the first time a booster has landed after 5 flights! pic.twitter.com/KcsNecEoI3
— Richard Angle (@RDAnglePhoto) June 4, 2020
SpaceX’s fleet of veteran rockets has dwindled a bit, with the loss of B1048 and B1056. Those losses came on the heels of two planned expenditures: B1046 and B1047. B1046was purposefully detonated as part of the company’s In-flight Abort test that occurred in January. That test was a lead up to the Demo-2 mission and proved that SpaceX’s launch escape system worked while B1047 carried the AMOS-17 satellite into orbit and was expended after depositing the satellite into space.
However, the California-based rocket builder should have some new Falcons rolling off the assembly line this summer, which will help support its ambitious Starlink launch manifest. This year, SpaceX has launched six Starlink missions, with at least one more planned for June, possibly two.
To date, SpaceX has launched a total of 482 Starlink satellites, but the company needs between 400-800 satellites on orbit to begin rolling out minimal coverage. To provide the coverage it wants, SpaceX is going to have to keep up the launch pace. And to do so, it will test the reusability factor of its rockets.
So far, we’ve seen two rockets fly five times, but when will B1049 fly a sixth time? How soon will we see a booster reach the 10-flight mark? What sort of refurbishments will it need then? With many more Starlink flights on deck, it will be interesting to see which boosters fly on which missions.
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
