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SpaceX’s upcoming Starlink launch will set a record for Falcon 9 booster reuse
SpaceX’s next launch will fly on a Falcon 9 Block 5 booster with three flights in its history, making the mission the first time SpaceX will launch the same orbital-class booster four times.
Likely attributable to a number of launch customers all coincidentally not ready for flight, SpaceX is in the midst its longest lull between launches since September 2016, three years ago, when Falcon 9 suffered its most recent catastrophic failure. During the lull, SpaceX COO and President Gwynne Shotwell noted that this is the first time in SpaceX’s history where the company is waiting on customers to launch, rather than the other way around.
That lull – currently past the two-month marker – is hoped to end sooner than later, although SpaceX’s ‘return-to-flight’ mission has become more uncertain in the last few weeks. For unknown reasons, the schedule for SpaceX’s next Starlink mission(s) went from having fairly specific launch targets (October 17th and November 4th) to more unclear schedules. Currently, SpaceX’s next launch will likely be the first flight of 60 Starlink V1.0 satellites and is expected no earlier than late-October or November.
Depending on how far right the mission moves on that schedule, SpaceX’s next launch might instead be a more regular commercial satellite mission, Kacific 1, scheduled for launch no earlier than (NET) November 11th.
Regardless of which mission actually comes next, speaking earlier this at the 2019 National Academy of Engineering annual meeting, SpaceX VP of Build and Flight Reliability revealed that “the next launch” will mark the first time a Falcon 9 booster has launched four times. As of now, SpaceX has launched four separate Falcon 9 boosters three times apiece, beginning with B1046 in December 2018 and ending most recently with B1047 in August 2019.
According to CEO Elon Musk and other SpaceX executives and employees, Falcon 9 Block 5 boosters are designed to fly no fewer than 10 times apiece before requiring substantial refurbishment. SpaceX has three (B1047 was expended on its third flight) thrice-flown Falcon 9 Block 5 boosters on hand, all of which can thus be assumed to be ready for another mission. In fact, B1046.3 is known to be assigned to SpaceX’s imminent Crew Dragon In-Flight Abort (IFA) test (NET November 23rd).
This leaves B1048 and B1049 as SpaceX’s booster options for their next launch. Assuming it’s a Starlink, it seems likely that B1049 would be the booster of choice, as that particular booster supported SpaceX’s first Starlink v0.9 launch back in May 2019. On the other hand, Falcon 9 B1048 completed its third launch in February 2019, meaning that it has had more time for post-flight inspections and (minimal) refurbishment, although it’s entirely unclear what sort of timescales SpaceX is currently operating on for Block 5 booster reuse.
Regardless of the specifics, SpaceX’s plans for a prolific number of internal Starlink launches will create a huge number of opportunities for the company to test new hardware/software and push the envelope of reusability, all without having to convince paying customers to be the guinea pigs. Once SpaceX has pushed its booster fleet onto their fourth flights, Starlink missions can easily take the reins and prove the safety of five-flight Falcon 9s and beyond.
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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
