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SpaceX first orbital spacecraft set to smash reusability record on last launch
The first orbital spacecraft designed and built by SpaceX is set to smash a reusability record on its 20th and final International Space Station (ISS) resupply launch, hopefully ending an exceptional career with yet another noteworthy achievement.
After a rocket-related hardware issue forced a four-day delay, a flight-proven Cargo Dragon spacecraft and Falcon 9 rocket are set to lift off no earlier than (NET) 11:50 pm EST, March 6th (04:50 UTC, March 7th) on NASA’s 20th and final SpaceX Commercial Resupply Services (CRS-20) mission. Although SpaceX’s final CRS1 launch, 20th mission milestone, flight-proven Dragon, and fairly quick Falcon 9 booster turnaround are all significant and exciting in their own ways, the most noteworthy technical aspect of CRS-20 can be found in the Dragon capsule that will soon be perched atop the tip of the rocket.
Shared on March 1st alongside confirmation of a successful Falcon 9 wet dress rehearsal (WDR) and static fire at its Cape Canaveral, Florida Launch Complex 40 (LC-40) pad, SpaceX revealed that Cargo Dragon capsule C112 (C1: Dragon 1; 12: capsule #12) will be supporting CRS-20 as early as this Friday. If all goes according to plan, it will be the spacecraft’s third cargo mission to the ISS since February 2017, becoming the third orbital SpaceX vehicle to do so. Even more significantly, C112 is poised to crush Cargo Dragon’s own previous record for the shortest time between two orbital launches.
Back in June 2017, SpaceX became the first private company in history to successfully reuse an orbital-class spacecraft on its CRS-11 Cargo Dragon mission, itself the first private spacecraft in history to successfully rendezvous with the space station. Since then, all but one CRS mission has featured an orbit-proven Dragon capsule, making CRS-20 the ninth time SpaceX will attempt to launch a spacecraft into orbit for the second (or third) time.
In other words, nearly half of all of SpaceX’s NASA CRS missions have featured flight-proven spacecraft, while several have also launched with flight-proven Falcon 9 boosters. Still, while extremely impressive that SpaceX has managed to convince the risk-averse space agency to fly several dozen tons of critical hardware on flight-proven rockets and spacecraft, Cargo Dragon capsule reuse has always been a comparatively lengthy and complex process.
Back in July 2017, just a month after SpaceX’s first successful Cargo Dragon reuse, CEO Elon Musk offered some insight into the capability’s potential value.
“Musk said he expects the next Dragon reuse and all future reuses to save SpaceX nearly 50% of the cost of manufacturing an entirely new spacecraft. Musk admitted that the first refurbishment of Dragon likely ended up costing as much or more than a new vehicle, but this is to be expected for the first attempt to reuse any sort of space hardware that must survive some form of reentry heating and saltwater immersion.”
Teslarati.com — July 21st, 2017
Ultimately, SpaceX has almost certainly realized Musk’s ambition of cutting the cost of orbital space station resupply missions in half (at least). Scheduled to launch on March 6th, Cargo Dragon capsule C112 last launched in December 2018, reentering Earth’s atmosphere and splashing down on January 13th, 2019. With CRS-20, the capsule could thus crush the previous record – 19 months – by more than 25%. Measured from splashdown to the capsule’s shipment to the launch pad, SpaceX may have spent less than a year refurbishing the Cargo Dragon spacecraft, likely more than a 50% improvement over all past refurbishment operations.
CRS-20 should thus mark a climactic and fitting end to Cargo Dragon 1’s nine-year spaceflight career. While bittersweet that the spacecraft and its many siblings will likely never fly again, Musk has said that Dragon 2 (Crew Dragon) – the spacecraft intended to replace it – is dramatically easier (and thus cheaper) to reuse than Dragon 1. As such, SpaceX should have no issue continuing its trend of lowering the cost of access to space after it begins space station cargo deliveries under its CRS2 NASA contract later this year.
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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
