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SpaceX Cargo Dragon spacecraft arrives at space station on second to last mission
SpaceX’s Cargo Dragon has successfully rendezvoused with the International Space Station (ISS) as part of NASA’s CRS-19 resupply mission, marking what is almost certainly the spacecraft’s second to last orbital launch.
On December 5th, new Falcon 9 booster B1059 lifted off from SpaceX’s LC-40 Cape Canaveral Air Force Station (CCAFS) launch pad with a fresh upper stage and twice flown Cargo Dragon capsule C106 atop it. A little over nine minutes after launch, B1059 prepared to be robotically secured on drone ship Of Course I Still Love You (OCISLY) while Cargo Dragon – now in orbit – separated from Falcon 9’s upper stage and headed on its merry way.
Cargo Dragon’s 20th orbital mission and 19th trip to the ISS, CRS-19’s twice-flown spacecraft commanded the deployment of its two solar arrays, primed its Draco maneuvering thrusters, and opened up its Guidance, Navigation, and Control (GNC) bay. Using star trackers, inertial measurement devices, and lasers, Dragon then proceeded to precisely deliver itself to the ‘door’ of the space station before gradually approaching.
Astronauts aboard the ISS then manually guided Canadarm2 – a massive robotic arm externally attached to the space station – towards Cargo Dragon as it used its thrusters to essentially hover in place, ultimately grabbing the spacecraft with a sort of mechanical hand. At that point, Dragon effectively became a part of the ISS and astronauts monitored the subsequent (and mostly automated) process of using Canadarm2 to fully berth spacecraft with the station.
After berthing, astronauts are able to equalize the pressure between the ISS and visiting spacecraft and open the hatch, gaining access to whatever cargo it was loaded with prior to launch. Alternatively, visiting vehicles can also dock with the International Space Station, a process controlled entirely by the arriving spacecraft, a bit like berthing but with almost all of the risk on its shoulders. All Russian spacecraft currently use this method, as do Boeing’s Starliner and SpaceX’s Crew Dragon.
As it turns out, CRS-19 – partially hinted at in the name – is the second to last launch of SpaceX’s Dragon 1 (Cargo Dragon), which become the first commercial spacecraft capable of reentering Earth’s atmosphere in 2010 and rendezvousing with a space station in 2012. Five months later, SpaceX launched CRS-1 – its first operational resupply mission – and the rest is (more or less) history.
In the seven years since CRS-1, Cargo Dragon – including CRS-19 – has now flown 18 successful space station resupply missions and delivered more than 90,000 lb (50,000 kg) to its ever-changing crew of astronauts. Cargo Dragon has undergone at least two significant upgrades and suffered its fair share of mishaps, but has still successfully completed its mission every time it reached orbit.
NASA’s CRS1 SpaceX contract ultimately called for a total of 20 Cargo Dragon missions to the ISS, although more could technically be added retroactively if both entities were to decide they were needed. Currently, the plan is for CRS-20 – Cargo Dragon’s next launch – to be the spacecraft’s last orbital mission and is scheduled no earlier than March 2020.
After CRS-20, SpaceX – via its subsequent CRS2 NASA contract – means to introduce a version of Crew Dragon (Dragon 2) modified for cargo-only missions, optimally taking flight-proven Crew capsules and reusing them as Cargo Dragon 2s.
SpaceX recently revealed that the first Cargo Dragon 2 spacecraft will unexpectedly not feature Crew Dragon’s complex SuperDraco abort system, a feature that has recently created several roadblocks. However, this dramatically simplifies Dragon 2 and means that SpaceX is still quite confident that the upgraded cargo spacecraft will be ready for its launch debut next year.
Known as CRS-21, that mission will see SpaceX’s CRS launches move from LC-40 to Kennedy Space Center’s LC-39A pad in order to enable extremely late and convenient cargo-loading via Pad 39A’s Crew Access Arm (CAA), to be primarily used by astronauts boarding Crew Dragon. Similarly, Cargo Dragon 2 will dock with the ISS instead of using Dragon’s current berthing route, nominally requiring less hands-on astronaut time for each resupply mission.
Cargo Dragon will be missed but will forever remain a major piece of commercial spaceflight history. Dragon 2 will likely toe the line for the first half of the next decade, but SpaceX ultimately wants to get its generation Starship launch vehicle online as soon as possible – a feat that will make all Falcon and Dragon vehicles redundant if things go as planned.
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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
