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SpaceX Falcon 9 “fleet leader” returns to port after record reuse
SpaceX is well and truly 70% of the way to a longstanding rocket reusability target after successfully launching and landing the same Falcon 9 booster on seven orbital-class missions.
Known as Falcon 9 B1049, the record-breaking rocket booster and new “fleet leader” safely returned to Port Canaveral aboard drone ship Of Course I Still Love You (OCISLY) on Saturday, November 28th. Aside from a minor hiccup and 24-hour delay from a vague need for “additional mission assurance,” Falcon 9’s seventh-flight debut was as flawless as ever, simultaneously marking the rocket’s 100th launch overall and 99th success after a decade of operation.
Crystallized in May 2018 and floated many times before by CEO Elon Musk in years prior, SpaceX’s primary goal for Falcon 9 reusability has been ten flights per booster with near-zero refurbishment between launches for several years. As such, Falcon 9 B1049’s latest success means that SpaceX is just three flights away from crossing that partly symbolic but still spectacular milestone.
For as long as SpaceX and Musk have been transparent about their desire to implement reusability into orbital-class rockets, entrenched competitors like Arianespace and United Launch Alliance (ULA) have almost continuously responded with vague internal studies that conclude that changing their ways is counterproductive. Often, somewhat arbitrary figures arise, with ULA executives frequently falling back on the excuse that SpaceX-style reusability only makes financial sense if a booster fleet averages at least ten flights each.
Arianespace executives have echoed similar sentiments over the years and more recently implied that it would only ever make sense to invest in SpaceX-style reusability if the conglomerate could guarantee at least 30 launch contracts annually.
Instead of complaining and splitting theoretical hairs for the better part of a decade, SpaceX simply started working. After many tries, the first successful Falcon 9 booster landing came in December 2015. ~15 months later, SpaceX reused an orbital-class rocket booster on a commercial mission for the first time ever. Another 14 months after that, Falcon 9 Block 5 debuted with a bevy of upgrades focused on reusability and reliability, and that same Falcon 9 booster became the first to launch on three orbital-class missions just seven months later.
Falcon 9 B1049 debuted in September 2018. 26 months later, the rocket has completed its seventh successful launch and landing, averaging one orbital satellite launch every ~110 days – an impressive feat for the fourth Block 5 booster ever built. Newer boosters like Falcon 9 B1058 are already improving on the records of their predecessors, managing an average of one launch every 60-80 days.
Even if ten flights were to inexplicably become a permanent design limit for all Falcon operations, SpaceX’s current fleet of eight flight-proven Falcon 9 boosters would still be capable of singlehandedly supporting at least 54 more launches, with another 16 on top of that if two dormant Falcon Heavy side boosters are converted for single-core use. SpaceX is unlikely to stop producing Falcon boosters for at least another year or two, adding at least 6-10 more first stages to the fleet to support dozens of crucial Falcon 9 and Falcon Heavy launches over the next 5-10 years.
In simpler terms, it’s almost time for SpaceX’s competitors to move their goalposts again. If B1049 can mirror its 2020 average of one launch every ~80 days, the Falcon 9 booster could be ready for its tenth flight as early as Q3 2021 (with B1051 not far behind it).
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
