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SpaceX’s Crew Dragon astronaut mission officially extended by NASA
With less than a month to go before NASA’s first crewed launch in nearly a decade, the space agency is still mulling over the details. On May 27, Bob Behnken and Doug Hurley will strap into their Crew Dragon spacecraft and blast off towards the International Space Station. During their stay, the duo will assist fellow NASA astronaut, Chris Cassidy, in maintaining the station as well as conducting several research experiments.
But how long the duo will remain on the station is still up in the air. NASA held a series of briefings on Friday, May 1, detailing the historic mission and how it would work. Hurley and Behnken will launch from Pad 39A at Kennedy Space Center at 4:32 p.m. EDT (20:32 UTC), and dock with the space station 24 hours later.
The exact length of that mission will be determined during their time in space. “It is a trade-off,” Kirk Shireman, NASA ISS program manager said during the news briefing, “between getting the spacecraft back quickly to complete its certification and providing additional crew time on the station for maintenance and research.”
The Demo-2 mission is a test flight. NASA and SpaceX will be using the mission to certify the Crew Dragon spacecraft for regular use to and from the station. So during this flight, the crew will try their hands at manual control and will test and monitor on boars systems during the significant phases of flight: launch, on orbit, and during re-entry.
Once the vehicle has completed its objectives successfully, it will be certified for a crewed flight. Currently, SpaceX is nearing completion on the next Dragon spacecraft, which will ferry four astronauts to the station for a long-duration mission. During the news briefings, SpaceX COO Gwynne Shotwell announced that the spacecraft for that mission is nearing completion and should arrive in Florida in the next couple of months.
Shireman said that the length of the Demo-2 mission was directly tied to that vehicle’s progress. “What we would like to do, from a station perspective, is to keep them on orbit as long as we can until that Crew-1 vehicle is just about ready to go, bring Demo-2 home, allow that certification work to be completed and launch Crew-1,” he said.
Steve Stich, NASA’s deputy manager of the commercial crew program, said that at minimum, the DM-2 crew would stay on orbit about a month. Their maximum stay would be no more than 119 days, due to the potential degradation of the Dragon spacecraft’s solar panels.
Solar panels are how spacecraft get their power while on orbit, and the sensitive components within the hardware degrade over time thanks to the harshness of the space environment. While it’s on orbit, ground control teams will “wake up” the spacecraft once a week to perform health checks and test the solar array’s performance.
“We would like to fly a mission that is as long as we need to for a test flight, but also support some of the space station program needs,” Stitch said.
Originally, Behnken and Hurley were expected to have a much shorter time on orbit. However, NASA officials said they started to explore the possibility of extending their mission six months ago to ensure there were enough astronauts onboard the space station to keep the orbital outpost in top shape. This year the agency is celebrating 20 years of continuous human presence on the space station, and NASA would like to ensure its continuation into the future.
To that end, Behnken and Hurley have spent significant time training to refresh themselves on station systems as well as prepare the potential spacewalks. A new shipment of batteries is scheduled to arrive on station a few days before Behnken and Hurley, and it’s possible that Behnken could be asked to conduct a spacewalk, along with Chris Cassidy.
The top priority for Behnken and Hurley will be to thoroughly check out the Crew Dragon’s systems, followed closely by relieving Chris Cassidy. “There’s a lot of work and activity that can be done in the U.S. segment; certainly more than one person can accomplish on their own,” Behnken explained during a later briefing.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
