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NASA installs SpaceX-delivered docking adapter for Crew Dragon, Boeing Starliner missions
Launched on July 25th, SpaceX’s CRS-18 Cargo Dragon successfully docked with the International Space Station (ISS) a few days later, delivering a major piece of space station hardware in its unpressurized trunk.
Known as International Docking Adapter 3 (IDA-3), the docking port will quite literally open the door for future commercial missions to the space station. Some 25 days after arriving at the ISS, NASA astronauts Nick Hague and Andrew Morgan performed a six-hour spacewalk (also known as an extra-vehicular activity or EVA) on August 21st, over the course of which they successfully installed IDA-3 on the outside of the space station.
On Monday, August 19th, IDA-3 was extracted from Cargo Dragon’s expendable trunk using Canadarm-2 and stored a few feet away from the Pressurized Mating Adapter 3 (PMA-3) on the station’s Harmony module. The PMA-3 is a leftover from the days of Space Shuttle and has thus been unused since 2011 – IDA-3’s installation means that the old hardware will be able to finally return to operational use.
The successful spacewalk was the fifth of this year and 218th overall. Astronauts Nick Hague and Andrew Morgan worked outside of the ISS to complete the tethering process and install power and data connectors, spending much of the 6.5 hours simply attaching and routing new cabling, extremely difficult to do in NASA’s semi-rigid EVA spacesuits. Astronaut Christina Koch assisted the duo from inside the station.
IDA-2, IDA-3’s predecessor, was successfully installed way back in August 2016, while the docking port was used for the first time ever just six months ago, when SpaceX’s Crew Dragon spacecraft – as part of its inaugural orbital launch – autonomously docked at IDA-2 on March 3rd, 2019. IDA-1 was sadly destroyed after a Falcon 9 upper stage failed catastrophically in June 2015, resulting in the total loss of Cargo Dragon CRS-7 and its array of ISS-bound cargo. Although far from the first, IDA-3 is still an extremely important addition to the ISS, particularly with respect to assuring redundancy and future accessibility for numerous spacecraft.
IDA’s are meant to serve as truly international ports, built by Boeing from a partially open-source design with parts from companies located in 25 different states and primary structures produced by Russian company RSC-Energia.
Both adapters feature a standard design, uniform docking requirements, and fittings for power and data transfer, all of which which are readily available to spacecraft designers to help streamline and simplify docking procedures. The IDA (technically, IDSS) standard has been adopted by both SpaceX’s Crew Dragon and Boeing’s CST-100 Starliner, while Russia may also adopt the standard on its next-generation Federation spacecraft, meant to replace Soyuz sometime in the 2020s.
Both US capsules – currently in various stages of production and flight preparations – will be able to autonomously dock with either IDA-2 or -3, as will SpaceX’s Crew Dragon-derived Dragon 2, to be used for SpaceX’s Commercial Resupply Services 2 (CRS2) contract. With two IDA adapters, a SpaceX and Boeing crew capsule or two SpaceX Dragon 2s could simultaneously dock with the ISS.
Unlike the berthing process used by Cargo Dragon, Cygnus, and (prospectively) Dream Chaser, the docking adapters allow for spacecraft to perform autonomous docking maneuvers. Berthing instead involves the spacecraft in question station-keeping just a few meters away from the ISS while astronaut operators manually ‘grab’ the spacecraft with a giant, robotic arm known as Canadarm2.
While the installation of a second adapter is certainly a step in the right direction to support a larger commercial customer base, there are many more steps to get through before the ISS can begin to support regular visits from Crew Dragon and Starliner. Both SpaceX and Boeing are hopeful that their capsules will be ready for their crewed launch debuts (Demo-2 and OFT, respectively) before 2019 is out, although delays into 2020 are extremely likely for both NASA Commercial Crew providers.
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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
