News
SpaceX smashes Falcon 9 booster turnaround record
SpaceX has successfully launched and landed the same Falcon 9 booster twice in three weeks, smashing the current record for orbital-class rocket turnaround.
The existing record was also held by Falcon 9 and set in early 2021 when booster B1060 launched a Turkish communications satellite and a batch of Starlink spacecraft just 27 days and 4 hours apart. Now, just under 15 months later, a new Falcon 9 booster has decisively taken the crown.
At 5:27 pm EDT, Falcon 9 B1062 lifted off as planned from SpaceX’s Cape Canaveral Space Force Station (CCSFS) Launch Complex 40 pad. Flying for the sixth time, the reused booster carried an expendable Falcon upper stage, fairing, and a batch of 53 Starlink V1.5 satellites most of the way out of Earth’s atmosphere to a velocity of 2.2 kilometers per second (Mach ~6.5) before separating and landing on a SpaceX drone ship.
Just 21 days and 6 hours prior, booster B1062 completed an almost identical launch with an identical payload of 53 Starlink satellites, smashing Falcon 9’s existing 27-day record by almost 25%. As is the case with SpaceX’s two 27-day turnaround records, the new 21-day record is made even more impressive by the fact that it took four and a half days just to tow B0162 almost 700 kilometers (~430 miles) back to port before it could begin preparing for Starlink 4-16. In theory, that means that SpaceX could have likely turned B1062 around in just 16.5 days if the booster had been able to land back at Cape Canaveral after Starlink 4-14.
SpaceX says that the actual process of refurbishing Falcon 9 B1062 took just 9 days, an extraordinary feat that further indicates that the real turnaround time is already much lower than 21 days.
SpaceX now holds the top nineteen records for orbital-class rocket turnaround, making NASA’s record 54-day turnaround of a Space Shuttle orbiter the 20th fastest reuse. While refurbishing a Shuttle orbiter was a far more arduous and complex process, it’s still the closest point of comparison that exists for Falcon reusability since SpaceX began reusing orbital-class boosters in March 2017.
Blue Origin’s New Shepard booster may be a better comparison in some regards but it’s almost an order of magnitude lighter and smaller and is part of a strictly suborbital launch vehicle. Six and a half years after its first successful landing, New Shepard’s booster turnaround record is 59 days.
According to Spaceflight Now, SpaceX has plans for up to four more Starlink launches within the next month: Starlink 4-17 no earlier than (NET) May 5th, Starlink 4-13 NET May 8th, Starlink 4-15 NET May 16th, and Starlink 4-18 NET May (date TBD). Transporter-5, a dedicated rideshare launch, is also targeting May 25th, and another Falcon 9 is scheduled to launch a Cargo Dragon spacecraft to the International Space Station on June 7th.
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
