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SpaceX Falcon 9 and $1B satellite trio set for first California launch in months
After the better part of both half a year of launch delays and launch pad inactivity, SpaceX and Falcon 9 are ready to return the company’s California-based SLC-4 facilities to action with the launch of the $1 billion Radarsat Constellation Mission (RCM).
Built by Maxar for the Canadian Space Agency (CSA), RCM is a trio of remote-sensing spacecraft designed with large surface-scanning radars as their primary payload. Having suffered years of technical delays during Maxar’s production process, RCM was initially available for launch as early as November 2018. In an unlucky turn of events, issues on the SpaceX side of things took RCM’s assigned Falcon 9 booster out of commission and lead to an additional seven or so months of launch delays. At long last, RCM is just one week away from heading to orbit, scheduled to launch from Vandenberg Air Force Base (VAFB) no earlier than 7:17 am PDT (14:17 UTC), June 12th.
The Goldilocks booster
Once the three RCM satellites were effectively complete, a series of unfortunate circumstances combined to delay the constellation’s launch almost indefinitely. The first domino fell in December 2018, when Falcon 9 Block 5 booster B1050 – having successfully supported Cargo Dragon’s CRS-16 launch – suffered a failure that prevented a successful landing. Incredibly, the booster did survive its accidental Atlantic Ocean landing and is now sitting in a SpaceX hangar, but B1050 is unlikely to ever fly again.
This posed a problem for Maxar and the Canadian Space Agency (CSA), who seem to have contractually requested that RCM launch on either a new or very gently flight-proven Falcon 9 booster. The problem: SpaceX had none of either option available for RCM after B1050’s unplanned swim and needed to balance the needs of several other important customers. Several Block 5 boosters were technically available but all had two or even three previous launches under their belts.
Meanwhile, SpaceX’s booster production had been almost entirely focused (and would remain so months after) on building four new Falcon Heavy boosters and the first expendable Falcon 9 Block 5 booster, reserved for the US Air Force and a long-delayed customer. Since those five boosters were completed and shipped out, just one additional booster (B1056) has been finished, launching Cargo Dragon’s CRS-17 mission just one month ago.
In short, had Maxar/CSA waited for a new booster, RCM’s launch would likely be delayed at least another 30-60 days beyond its current target of June 11th. Instead, they downselected to Falcon 9 B1051, then in the midst of several months of prelaunch preparations for Crew Dragon’s launch debut (DM-1). DM-1 went off without a hitch in early March, after which the gently-used B1051 underwent a brisk ~45 days of inspection and refurbishment before heading west to SpaceX’s VAFB launch pad.
Billion Dollar Babies
From an external perspective, forgoing a twice or thrice-flown Falcon 9 Block 5 booster after nearly a dozen successful demonstrations does not exactly appear to be a rational decision. However, whether it was motivated by conservatism, risk-aversion, or something else, Maxar and CSA likely have every contractual right to demand certain conditions, as long as they accept the consequences of those requirements. In the case of RCM, the customers accepted what they likely knew would be months of guaranteed delays to minimize something they perceived as a risk.
To some extent, it’s hard to blame them. After going more than $400M over budget, the Maxar-built trio of upgraded Radarsat satellites are expected to end up costing more than $1 billion. CSA’s annual budget typically stands around $250M, meaning that this single launch is equivalent to four years of space agency’s entire budget. A failed launch would be a huge setback. Additionally, RCM will likely become the most valuable payload ever launched by SpaceX, beating out the Air Force’s ~$600M GPS III SV01 spacecraft by a huge margin. For RCM, mission assurance is definitively second to none.
If all goes as planned, Falcon 9’s RCM launch should also mark the second use of SpaceX’s West Coast landing zone (LZ-4), christened during the October 2018 launch of SAOCOM 1A – coincidentally, also a radar-carrying Earth observation satellite. This means that press photographers (including Teslarati’s Pauline Acalin and Tom Cross) will have their second chance ever to capture remote images of a SpaceX booster landing.
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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.”
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
