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SpaceX Falcon 9 booster spotted in Southern California on journey to Florida
On August 20th, a member of a local California Facebook group happened to spot a SpaceX Falcon 9 booster in transit, an exceedingly rare sight as of late. Moving east, the booster is almost certainly heading to Florida to support a major cluster of 6-8 launches in Q4 2019.
This marks the first time in nearly four months that a flight-proven Falcon 9 booster has been spotted in transit, excluding a lone (unflown) booster captured on its way to McGregor, Texas last month. This also serves as an opportunity to reexamine the status of SpaceX’s expansive fleet of reusable Falcon 9 Block 5 rockets as the company prepares for a busy end of 2019 in the midst of a rare multi-month lull in launch activities.
Based on the timing, its location (Southern California), and the direction it was headed (Eastbound), the rocket spotted on August 20th is almost certainly twice-flown Falcon 9 booster B1051. The booster was likely departing SpaceX’s Vandenberg Air Force Base (VAFB) launch facilities after some two months post-launch inspections and refurbishment, having completed its second launch and landing on June 12th, 2019 in support of the Radarsat Constellation Mission (RCM).
Prior to its successful launch of RCM, B1051 had the historic privilege of supporting the inaugural orbital launch of SpaceX’s Crew Dragon spacecraft, putting the next-gen crew capsule through its paces before a crewed launch debut expected to occur absolutely no earlier than (NET) December 2019. Known as DM-1 (Demo-1), B1051 was subjected to an exceptionally strenuous suite of inspections, analysis, and testing for the mission – from the very first welding sparks to the booster’s McGregor, TX and Florida static fires and launch debut.
Said debut occurred on March 2nd, 2019, after which B1051 landed at sea aboard drone ship Of Course I Still Love You (OCISLY).
SpaceX production experienced an exceptionally frenetic period from early-2018 to mid-2019, in which the company averaged the completion of almost an entire Falcon 9 or Heavy rocket every 1-2 months, building, delivering, launching, and relaunching Falcon boosters B1046 through B1057 from ~January 2018 to April 2019. In the last 3-4 months, the (publicly visible) rate of rocket production has dramatically slowed, presumably an intentional slow-down triggered by SpaceX’s rapidly growing fleet of flight-proven boosters.
In the last four or so months, unaffiliated observers have spotted a grand total of one new Falcon 9 booster on its way from SpaceX’s Hawthorne, CA factory to its McGregor, TX testing facilities. That booster – likely either B1058 for Crew Dragon’s crewed launch debut (Demo-2) or B1059 for SpaceX’s next USAF GPS III launch – was spotted twice headed east in Arizona on July 29th. Prior to that, the next most recent ‘core spottings’ occurred in mid-to-late April, while the most recent since July 29th’s instance is B1051.2’s August 20th appearance. In short, things are unusually quiet on the SpaceX booster transport front.
Rocket fleet logistics
This apparent slowdown in production can be relatively easily explained by the nature of SpaceX’s fleet of boosters, as well as the company’s growing confidence in the extreme reusability nominally permitted by Falcon 9’s Block 5 upgrade. Just a few days ago, SpaceX Vice President of Build and Flight Reliability Hans Koenigsmann reiterated the belief that Falcon 9 Block 5 boosters will be more than capable of safely performing 10 or more launches apiece.
At the moment, SpaceX’s fleet of flightworthy Block 5 boosters is seven strong, composed of B1046.3, B1048.3, B1049.3, B1051.2, B1052.2, B1053.2, B1056.2. Altogether, they have supported a full 17 launches in 15 months, averaging 2.4 launches apiece with a maximum of three launches achieved by three separate boosters. Under the extremely conservative assumption that 60-90 days are needed for post-flight inspections and refurbishment, anywhere from 2-6 of those boosters are already ready for their next launches.
In simple terms, it appears that even a fleet as small as seven Falcon 9 Block 5 boosters may be capable of supporting a vast majority of SpaceX’s commercial launch contracts, while even NASA has come to support launching uncrewed Cargo Dragon missions on flight-proven boosters. In fact, Koenigsmann revealed that a number of customers had nearly come a full 180 degrees in the less than three years that SpaceX has been reflying boosters. Many now actively prefer a flight-proven booster and have come to view them as a more known quantity relative to unproven (i.e. new) hardware.
Aside from a handful of customers – primarily the US military – that explicitly demand new hardware, the rare need for entirely expendable Falcon 9 launches, and the equally rare loss of boosters during unsuccessful landings, SpaceX just doesn’t need nearly as high of a Falcon 9 or Heavy booster production rate to support the same (or even greater) launch cadences.
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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
