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Antares rocket launches Cygnus spacecraft to the International Space Station
Northrup Grumman has launched a fresh batch of supplies and equipment to the International Space Station with its Antares rocket and Cygnus spacecraft.
On Saturday, February 19th, an uncrewed Northrup Grumman Cygnus spacecraft lifted off on an Antares rocket from Pad 0A at NASA’s Wallops Flight Facility in northeast Virginia. As part of Northrup Grumman’s 17th Cargo Resupply Services (CRS) mission to the International Space Station since 2013, the rocket successfully carried the Cygnus spacecraft and more than 3.7 tons (~8300 lb) of cargo into orbit.
At 4:44 AM EST Monday, February 21st, Cygnus finished its autonomous rendezvous with the ISS and the station’s robotic Canadarm2 arm – operated by NASA astronaut Raja Chari – grabbed the hovering spacecraft and ultimately installed it on a berthing port later that morning. Prior to its arrival, NASA astronauts Raja Chari and Kayla Barron trained on the US Destiny laboratory module’s robotics workstation to prepare for the capture operation.
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
On February 22nd, ISS astronauts began the process of unpacking Cygnus, which brought with it an array of supplies, snacks, scientific investigations, and critical materials needed to support over 250 experiments aboard the ISS. That list of experiments includes medical research, technology development, space safety work, and plant life investigations. In one investigation, cancer cells from breast and prostate cancer will be treated with MicroQuin, a novel cancer treatment drug. This investigation will allow tumors to be treated in a microgravity environment, allowing researchers an opportunity to better understand and characterize their structure, gene expression, cell signaling, and response to the treatment.
The NG-17 mission also carried a modification kit that will pave the way for the installation of the new set of upgraded solar arrays. The second batch will be launched no earlier than (NET) May 2022 on SpaceX’s CRS-25 Cargo Dragon 2 spacecraft. Additionally, NASA says that Cygnus NG-17 “[included] other components [needed] for the successful functioning of astronaut life on the space station, such as a trash deployer and acoustic covers for the waste management system.” (NASA)
In general, NG-17 was loaded with:
• 2,980 pounds (1,352 kilograms) of crew supplies
• 2,883 pounds (1,308 kilograms) of [station] hardware
• 1,975 pounds (896 kilograms) of science investigations
• 200 pounds (100 kilograms) of unpressurized cargo
• 132 pounds (60 kilograms) of spacewalk equipment
• 77 pounds (35 kilograms) of computer resources
While attached to the ISS, Cygnus will also be responsible for raising the altitude of the space station for the first time in its history. This will be the first time since the Space Shuttle’s retirement in 2011 that an American spacecraft helps maintain the space station’s orbit – a task Russia has exclusively handled for more than a decade. “This Cygnus vehicle has been modified to [use some of its own propellant] to reboot ISS. We’ve done a test prior to this with Cygnus, but this will be our first real use of this capability to actually re-boost the station. And it gives us another way to do so, in addition to the Russian Zvezda thrusters or the Russian Progress cargo spacecraft capabilities,” stated Dina Contella, NASA’s ISS operations integration manager.
Cygnus will remain attached to the International Space Station for the next three months and is set to depart in May. Once detached from the ISS, the spacecraft – operating a bit like a space tug or orbital transfer vehicle – will deploy a number of cubesats. Finally, the fully expendable spacecraft will dispose several thousand pounds of trash when it reenters and burns up in Earth’s atmosphere later this year.
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
