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SpaceX Crew Dragon, four astronauts set for brief flight around the space station
To set the stage for another Dragon launch just a few weeks from now, NASA astronauts are preparing to board a SpaceX Crew Dragon for a brief flight around the International Space Station (ISS).
Orbiting roughly 400 km (250 mi) above the Earth’s surface, the ISS and its crew of seven international astronauts have just two docking ports available to manage a growing influx of SpaceX Crew and Cargo Dragon 2 spacecraft, as well as Boeing’s chronically delayed Starliner. While Starliner hasn’t flown since a near-catastrophic orbital debut in December 2019 and isn’t likely to reattempt that uncrewed flight test until the second half of 2021, SpaceX is in the exact opposite position as it prepares to sustain an unprecedented Dragon launch cadence.
One challenge of that cadence ramp – space station port logistics and availability – is now becoming clear as SpaceX nears its next Crew Dragon NASA astronaut launch.
All launched on SpaceX Cargo Dragons, including a third destroyed during Falcon 9’s CRS-7 launch failure, the International Space Station has just two perpendicular International Docking Adapter (IDA) ports – one facing space and the other facing Earth. Regardless of CRS-7’s lost port, that IDA duo was always NASA’s plan.
The ISS requires the use of a huge, robotic arm (Canadarm2) to unload unpressurized cargo from spacecraft and that arm doesn’t have the mobility to access vehicles docked to the Earth-facing IDA port, meaning that cargo spacecraft with IDA ports can really only dock on the space-facing port. Cargo Dragon 2’s use of IDA docking and the Cygnus spacecraft’s use of berthing thankfully mean that neither NASA Commercial Resupply Services 2 (CRS2) vehicle is at risk of a traffic jam.
Sierra Nevada Corporation (SNC) is set to debut the cargo variant of its Dream Chaser spaceplane as early as 2022 for annual launches and will need to share that same lone IDA port with Cargo Dragon for its (approximately) annual resupply missions. More importantly, though, Crew Dragon and Boeing’s Starliner both require the use of one of those two IDA ports to deliver astronauts to and from the ISS. Both spacecraft are also expected to leave with the same crew that launched on them, meaning that both will spend a fully six or so months in orbit on each crew rotation mission.
In general, NASA also plans to overlap all Commercial Crew Program (CCP) astronaut launches, meaning that Crew Dragon will wait for Starliner to arrive (and vice versa) before departing the ISS with its four-astronaut crew. Those use-cases and safety requirements combine to create strict, complex scheduling challenges that mean a Cargo Dragon or Dream Chaser can never be docked to the ISS during a crew handover, while also adding significant constraints to any planned private astronaut (tourist) missions to the station – of which SpaceX already has at least one.
In the meantime, though Boeing’s Starliner is now at least 18 months behind SpaceX’s Crew Dragon on the path to launching NASA astronauts to and from the ISS, SpaceX is picking up the slack to the extent that station ‘traffic’ conditions are practically unaffected. Whereas NASA’s nominal plan was to alternate between its two redundant Commercial Crew providers before Boeing ran into huge delays, SpaceX is on track to launch Crew Dragon’s Crew-2 astronaut ferry mission as early as April 22nd.
The flight-proven Demo-2 Dragon will then rendezvous with the ISS while Crew-1’s Dragon and four astronauts are still aboard the station. Crew-1 and Crew-2 will spend about a week together before the former group boards their Dragon and heads for home. As few as six or so weeks later, SpaceX could launch its second Cargo Dragon 2 resupply mission, known as CRS-22. – This morning’s “port relocation,” which will see the Crew-1 Dragon will ‘relocate’ from the station’s Earth-facing IDA to its space-facing port, is thus necessary to free up that port for Cargo Dragon’s arrival when Crew-1 departs.
Barring major delays, SpaceX is currently on track to complete another two Crew and Cargo Dragon launches in 2-3 months, marking four Dragon missions in seven months if all goes to plan. Another three Dragon missions are firmly scheduled in 2021, potentially making for seven Dragon launches in 11-12 months if schedules hold. SpaceX’s current record – technically achieved twice in 2018 and 2019 – is five orbital Dragon missions in 12 months.
Tune in below around 6am EDT (UTC-4) to catch Crew Dragon C207’s brief 46-minute jaunt around the International Space Station (ISS) – a first for an American crewed spacecraft of any kind.
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
