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SpaceX Dragon spacecraft returns NASA cargo to Earth after six weeks in space
A SpaceX Cargo Dragon 2 spacecraft has safely returned to Earth after delivering several tons of NASA supplies to the International Space Station (ISS).
A little over six weeks after Falcon 9 launched SpaceX’s 26th Commercial Resupply Services 2 (CRS2) mission for NASA, Dragon departed the ISS on January 9th. Efficiently lowering its orbit with several small Draco thrusters took about 36 hours, and reusable Dragon 2 capsule C211 eventually slowed to the point that it began impacting Earth’s atmosphere. Using its ablative heat shield like a brake pad, Dragon slowed from a velocity of 7.5 kilometers per second (16,800 mph) to about 155 meters per second (~350 mph) before beginning parachute deployment.
At 5:19 am on January 11th, the Dragon capsule gently splashed down off the coast of Tampa, Florida, and was quickly secured by a SpaceX recovery ship. Once onboard, the capsule was opened up, and cargo fresh from orbit was loaded onto a helicopter as quickly as possible. That system – primarily created to rapidly transport astronauts back to NASA medical facilities – also means that scientists can get access to their recovered ISS experiments just a handful of hours after Cargo Dragon splashes down.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Some of the scientific investigations returned by Dragon include:
Deep space radiation protection: A vest designed to protect astronauts from high doses of radiation caused by unpredictable solar particle events is returning to Earth after months of testing. Crew members wore the Astrorad vest while performing daily tasks and provided feedback about how easy it is to put on, how it fits and feels, and the range of motion possible while wearing it. The vest’s developers plan to use that feedback to improve design of the garment, which could provide radiation protection for astronauts on Artemis missions to the Moon.
Air, water, plants: XROOTS used hydroponic (water-based) and aeroponic (air-based) techniques to grow plants without soil or other growth media. Researchers collected video and still images to evaluate growth chambers through the plant life cycle from seed germination through maturity. The plant chambers are returning to Earth for additional analysis. Similar techniques could be used to produce crops for future space missions and to enhance cultivation and food security for the benefit of people on Earth.
Bioprospecting in space: Bioprospecting is the process of identifying plants and animals that may contain substances with potential for use as drugs, biochemicals, and more. Previous studies found that space can cause genetic and physiological changes that could result in microbes yielding such materials. Rhodium Microgravity Bioprospecting-1 studied a way to search for these microbes. The science chambers and temperature logger from the investigation are returning to Earth for further examination.”
Blogs.NASA.gov – January 11th, 2023
SpaceX’s second-generation Cargo Dragon spacecraft is nearly identical to Crew Dragon. Both are made up of two main parts: a reusable capsule and an expendable ‘trunk.’ The Dragon 2 trunk is a tube-like carbon fiber composite structure covered by a skin of curved solar arrays and radiators. It can also hold several tons of unpressurized cargo.
Dragon’s capsule holds a pressure vessel, environmental control systems (ECLSS), all 16 Draco maneuvering thrusters, propellant tanks, docking systems, and an ablative heat shield. In the case of Crew Dragon, the capsule is also outfitted with windows, crew seats, hand control, and SuperDraco launch abort thrusters. Both Cargo and Crew Dragon capsules represent the vast majority of the total spacecraft cost and can be recovered, refurbished, and reflown in as little as four months.
NASA is SpaceX’s only Cargo Dragon customer. January 11th’s recovery marked the completion of CRS2 Spx-26, SpaceX’s 25th successful ISS resupply mission since 2012. After adding more contracts last year, NASA has arrangements for at least nine more Dragon 2 resupply missions stretching into 2026 or 2027. NASA also signed contracts for eight Crew Dragon astronaut launches in 2022 and has nine missions on contract between now and the late 2020s or 2030.
While Falcon 9 infamously failed during the June 2015 launch of CRS-7, every Dragon that has ever reached orbit has been recovered in one piece. Spx-26 was Dragon’s 38th mission overall and 35th consecutively successful recovery from orbit.
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
