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SpaceX Falcon 9 booster spied on highway as triple-satellite launch moves right

Reddit user intamin1 spotted a Falcon 9 booster northbound between Hawthorne and Vandenberg on Jan 22. (Reddit /u/intamin1)

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A SpaceX Falcon 9 booster was spotted heading north from the company’s Hawthorne, California factory on January 22nd, signifying a likely shipment of the flight-proven rocket that will help launch Canada’s trio of Radarsat Constellation Mission satellites.

Delayed from mid-February to early March 2019 after an unplanned landing anomaly damaged the Falcon 9 originally assigned to the mission, the shipment of a different booster to Vandenberg Air Force Base (VAFB) helps to narrow down the rocket now likeliest to launch the Canadian Space Agency’s (CSA) radar satellite constellation.

https://twitter.com/GoForStaging/status/1088174203298230272

Do the Booster Shuffle!

Thanks to a hydraulic pump failure that led Falcon 9 B1050 to land (albeit softly and in one piece) in the Atlantic Ocean last December, the imminent launch of two booster-dense Falcon Heavy missions, and the thus far schedule-shy orbital launch debut of Crew Dragon, SpaceX’s fleet of available boosters – all flight-proven – can be succinctly summarized as “B1046 thru B1049”.

B1050’s future is uncertain after suffering a smashed interstage and soaking in salt water for several days, while B1051 is definitively assigned to Crew Dragon’s orbital launch debut, known as Demo-1 (DM-1). Falcon 9 B1052 and B1053 are unknown quantities and B1054 was expended after a high-value US Air Force launch, also SpaceX’s final mission of 2018. It’s probably safe to bet that B1052, B1053, and B1055 will be the next three boosters to support a Falcon Heavy launch (or two), currently NET March and April 2019. All three of those Falcon Heavy (FH) boosters have completed static fire tests in Texas and both side boosters arrived at SpaceX’s Florida facilities within the last ~6 weeks.

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Assuming that Falcon Heavy Flight 2 and 3 use the same exact boosters, SpaceX production technicians and engineers may already be nearing the completion of another Falcon 9 booster (B1056, presumably) at the Hawthorne factory, although they are likely 1-2 weeks away from that milestone. If, Falcon Heavy Flight 3 (presumed to be the USAF’s STP-2 mission) does not reuse all three first stage boosters from Flight 2 (commercial payload Arabsat 6A), then Hawthorne will have to build, ship, and test anywhere from 1-3 additional boosters between now and April 2019. In the latter scenario, all unflown – mid-build or completed – Falcon boosters would be ‘claimed’ between now and March or April.

Put in another way, short of opting for a delay that could stretch 1-4 months or longer, the Canadian Space Agency (CSA) and Radarsat prime contractor MDA will have to accept one of SpaceX’s flight-proven Falcon 9s.

Falcons on wheels

Thanks to SpaceX’s trusty and well-worn method of using good old trucks and roads to transport Falcon 9 and Heavy boosters, upper stages, fairings, landing legs, and much more cross-country, spaceflight fans have long taken advantage of opportunities – rare and fleeting as they might be – to spot and track SpaceX hardware on public roads. Put simply, a lot of people are excited about SpaceX or are at least familiar and curious enough to know someone to share a photo or observation with. As a result, the community averages dozens of ‘core spottings’ per year. With a little intuition, the process of elimination, a few sources, and some wild guesses, this allows unofficial fans to (very roughly) paint a picture of SpaceX’s fleet of rockets.

 

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For example, the Falcon 9 spotted in Valencia, CA on January 22nd by Reddit user intamin1 could theoretically be any SpaceX booster currently in existence. By knowing the rough state of SpaceX’s fleet (as described above) and observing that the booster was northbound between Hawthorne, CA (the factory) and Vandenberg Air Force Base (VAFB) on Jan 22, a great deal can be intuited. Bound for SpaceX’s West Coast launch complex (SLC-4), it ought to be flightworthy. Knowing that a Falcon Heavy center booster was on SpaceX’s McGregor, Texas static fire stand on January 10th means that the spotted booster can’t (or at least shouldn’t) be coming from Texas, as Falcon Heavy has no known launches planned from VAFB. The process of testing, inspecting, and preparing Falcon boosters for cross-country shipment is also not easily rushed.

On the East Coast, SpaceX needs to launch communications satellite PSN-6 and Spaceflight rideshare GTO-1 in mid to late February. With no new boosters expected to be easily available for months and PSN-6/GTO-1 already entering into the phases of payload fueling, integration, and fairing encapsulation, it can be all but guaranteed that a flight-proven booster was assigned to the mission months ago and is now nearly ready for its third flight somewhere in Cape Canaveral, FL.

SpaceX manufactures Falcon 9 and Heavy at its Hawthorne, CA factory. (SpaceX)

Given that B1046 and B1049 are on the West Coast after conducting launches from VAFB and that B1050 is out of circulation for the time being, only B1047 and B1048 remain (in theory) on the East Coast, both having flown two missions. B1048 was recently spotted and confirmed in photos of SpaceX’s Pad 39A integration hangar, although Falcon 9 B1051 and the first orbit-ready Crew Dragon were the center of attention.

B1047 completed its second launch in mid-November 2018 and returned to one of SpaceX’s Florida hangars for refurbishment around Nov 21. Unless any number of locals and bystanders somehow missed it, neither booster has left the Cape since arriving. Meanwhile, B1048 is currently the best-known candidate at hand for SpaceX’s Crew Dragon In-Flight Abort (IFA) test, expected to occur no earlier than spring 2019 and entirely dependent upon the successful launch, reentry, recovery, and refurbishment of the DM-1 capsule to proceed. As a result, the only booster that is realistically available for PSN-6/GTO-1 is Falcon 9 B1047 for what would be its third launch.

Assuming B1048 did not manage to make it from Cape Canaveral to Central California without a single spotting, the only rockets available for the RCM mission are B1046 and B1049. B1049 completed its second launch – Iridium-8 – just weeks ago and returned by drone ship to Port of LA on January 13th, whereas Falcon 9 B1046 – after completing its historic third launch – completed recovery and was snug in a Hawthorne, CA refurbishment bay by December 17th, 2018. Going off of Occam’s Razor, B1046 is the clear victor for the launch of RCM, although a ~60-90-day turnaround for the already thrice-flown booster could be a stretch. B1049, however, would have barely a single month for refurbishment and inspections.

In the last week or two, RCM stakeholders were provided an updated launch target, delaying the mission by approximately two weeks to a window that begins February 28th with the implication being that the launch is now expected NET early March. If that date is recent and from SpaceX, B1046 is the most practical option, with B1049 thus filling its refurbishment bay in Hawthorne, CA around the same day. If a risk of a 30-day or greater delay is tolerable for CSA and MDA, then B1049.3 would likely be a more optimal fit for their risk tolerance profile. Time will tell!


Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes!

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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