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SpaceX’s next West Coast Falcon 9 landing could be decided by baby seals
SpaceX and the Canadian Space Agency (CSA) have – at long last – officially announced a launch date for the Radarsat Constellation Mission (RCM), a ~$1B trio of Earth observation satellites.
Delayed from November, February, March, and May, RCM is now scheduled to launch on a flight-proven Falcon 9 booster from California’s Vandenberg Air Force Base (VAFB) no earlier than June 11th. The three flight-ready spacecraft were shipped from Canada in September 2018 and have now been awaiting launch in a Southern California storage facility for more than half a year. The blame for such an egregious delay can be largely placed on SpaceX, but CSA and launch customer Maxar Technologies are also partially responsible. On a lighter note, the location of RCM’s subsequent Falcon 9 landing might end up being decided by seal pupping – baby harbor seals, in other words.
Although RCM’s slip from 2018 to 2019 remains unexplained, the mission’s journey from mid-February to mid-June is a different story. Still, next to nothing is publicly known about the process SpaceX launch customers go through after contracts have been signed, particularly with respect to how Falcon boosters are assigned to missions. This is further stymied by the fact that – to date – the ~$1 billion RCM is probably the most valuable payload SpaceX has ever attempted to launch, making it a clear outlier. But, as they say, “damn the epistemological torpedoes!”
Rocket logistics hell
RCM’s logistical hell and ~6 months of delays began on December 5th, 2018 when Falcon 9 Block 5 booster B1050 – having just completed its inaugural launch debut – experienced a hydraulic pump failure. The first of its kind, B1050’s pump failure killed grid fin control authority and forced the booster to abort into the Atlantic Ocean, where it somehow pulled off a landing soft enough to leave the rocket almost entirely intact. Even more surprisingly, B1050 was safely towed back to port, lifted onto dry land, and shipped off to one of SpaceX’s many Florida hangars for inspection.
Despite its near-miraculous survival, B1050 was immediately removed from SpaceX’s fleet of flightworthy boosters. Set to become the least flight-proven flight-proven Block 5 booster yet after supporting a low-energy Cargo Dragon mission, SpaceX and CSA/Maxar had apparently reached an agreement to launch RCM on B1050.2. Despite the availability of other boosters at the time, all available cores had completed two launches (B1046, 47, and 48) or were assigned to a second launch in the near-term (B1049). This is the only rational explanation for the delays that followed.
B1049 completed its second launch in mid-January 2019 and has since floated around various SpaceX facilities while waiting for its third mission. Had CSA/Maxar been okay with a twice-flown Falcon 9, B1049 could have likely supported RCM’s launch as early as March or April. Instead, the customer – as was apparently their right – concluded that being a booster’s third launch would be an unacceptable risk, whereas launching on a once-flown booster was acceptable. The only possible solution to those demands was to manifest RCM on Falcon 9 B1051, assigned to Crew Dragon’s launch debut.
Quite possibly the worst booster one could pick for schedule preservation, Crew Dragon’s launch debut slipped – to the surprise of very few – from January to February and finally to March 3rd. B1051 launched, landed without issue, and returned to Port Canaveral a few days later, where it was transported to Pad 39A for refurbishment. The relatively gently-used booster required a bit less than 8 weeks of inspection and refurbishment before being packaged and shipped to California near the end of April (see above). By now, B1051 is likely safely inside SpaceX’s SLC-4E integration hangar, preparing for upper stage integration and a routine pre-launch static fire test.
In short, an untimely Falcon 9 anomaly and customer preferences conspired to delay the launch of Canada’s Radarsat Constellation Mission by nearly four months, from February 18th to June 11th. With any luck, the mission’s flow will be issue-free and suffer no additional delays.
FCC launch communications licenses currently show that SpaceX plans to return Falcon 9 B1051 to the launch site (RTLS) after launch, rather than landing aboard drone ship Just Read The Instructions (JRTI). With a total launch mass likely around 5000 kg (11,000 lb), Falcon 9 should easily be able to manage a RTLS recovery. However, SpaceX’s West Coast LZ-4 use permit prevents the company from landing rockets at the pad during harbor seal pupping season, typically March thru June. The sonic booms and noise generated during Falcon 9’s spectacular landings might end up stressing endangered harbor seals, potentially causing parents to abandon their seal pups in confusion. As such, JRTI may be forced to get some exercise after spending almost five months in port. Anything for the baby seals!
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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
