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SpaceX’s NASA Crew Dragon launch manifest doubles in three months
NASA says it will soon award SpaceX another five Crew Dragon astronaut transport contracts after purchasing three extra missions from the company on February 28th.
That June 1st announcement means that NASA has more than doubled the number of operational Crew Dragon astronaut launches planned between 2020 to the end of 2030 in the last three months – a decision that represents another major SpaceX upset over Boeing. In reality, NASA has simply made some cold and rational calculations about its two Commercial Crew providers and – with no ill intent – made far-reaching decisions to preemptively secure its astronauts’ access to the International Space Station (ISS) for the rest of this decade. Intentional or not, however, the optics of those decisions speak volumes.
When NASA awarded Boeing and SpaceX their original $4.2 billion and $2.6 billion Commercial Crew Transportation Capability (CCtCap) contracts in 2014, the agency’s goal (or hope) was for both providers to complete the development of their Starliner and Crew Dragon spacecraft in roughly the same amount of time. Boeing and SpaceX would have then taken turns, each performing one six-month crew transportation mission per year and ensuring redundant access to the ISS for the rest of its life.
More realistically, the general assumption was that Boeing – an ancient aerospace company with half a century of spaceflight experience – would smoothly complete Starliner while SpaceX – a 12-year-old startup – would struggle to push Crew Dragon across the finish line. Of course, exactly the opposite proved to be true. For what would ultimately become (to NASA) $3.15 billion to Boeing’s $4.95 billion and development and test flight costs of $1.2 billion to Boeing’s $2.2 billion, SpaceX completed its first successful uncrewed and crewed Crew Dragon test flights in March 2019 and May 2020. In contrast, Boeing’s first uncrewed Starliner launch attempt nearly ended in catastrophe in December 2019. A second July 2021 attempt at that mission was prevented from launching by unrelated technical difficulties. Only on May 25th, 2022 did Boeing finally complete the equivalent of Crew Dragon’s March 2019 Demo-1 test flight.
NASA’s February 28th purchase of three more SpaceX Crew Dragon missions was unsurprising. The future of Starliner was still unclear and the Dragon missions it was purchasing could be needed as early as 2023 if Boeing’s spacecraft was not ready in time. The timing of NASA’s notice of intent to purchase another five Crew Dragon missions one week after the end of Boeing’s mostly successful OFT-2 test flight, however, is somewhat surprising. Instead of throwing Boeing a bone after its long-awaited success and somewhat balancing the scales between its two Commercial Crew providers, NASA has ultimately decided to purchase more than twice as many crew missions from SpaceX.
Following NASA and SpaceX’s successful Crew-4 launch last month, the space agency needs 16 more six-month transport missions from SpaceX and Boeing to ensure astronaut access to the ISS between now and late 2030. NASA has issued its intent to perform up to 14 operational Crew Dragon missions and up to 6 Starliner missions (via Boeing’s original contract). Subtracting the 4 missions SpaceX has completed or is in the midst of completing, NASA will soon have all the contracts it needs to crew the ISS until the end of 2030 without purchasing a single extra mission from Boeing.
As a result, barring surprises, SpaceX will likely be responsible for launching 70% of all NASA and ESA astronauts from late 2020 to the end of 2030, while Boeing will be tasked with carrying the remaining 30%. A less likely Commercial Crew outcome would have been hard to imagine in 2014.
Elon Musk
Starlink restrictions are hitting Russian battlefield comms: report
The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.
SpaceX’s decision to disable unauthorized Starlink terminals in Ukraine is now being felt on the battlefield, with Ukrainian commanders reporting that Russian troops have struggled to maintain assault operations without access to the satellite network.
The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.
Lt. Denis Yaroslavsky, who commands a special reconnaissance unit, stated that Russian assault activity noticeably declined for several days after the shutdown. “For three to four days after the shutdown, they really reduced the assault operations,” Yaroslavsky said.
Russian units had allegedly obtained Starlink terminals through black market channels and mounted them on drones and weapons systems, despite service terms prohibiting offensive military use. Once those terminals were blocked, commanders on the Ukrainian side reported improved battlefield ratios, as noted in a New York Post report.
A Ukrainian unit commander stated that casualty imbalances widened after the cutoff. “On any given day, depending on your scale of analysis, my sector was already achieving 20:1 (casuality rate) before the shutdown, and we are an elite unit. Regular units have no problem going 5:1 or 8:1. With Starlink down, 13:1 (casualty rate) for a regular unit is easy,” the unit commander said.
The restrictions come as Russia faces heavy challenges across multiple fronts. A late January report from the Center for Strategic and International Studies estimated that more than 1.2 million Russian troops have been killed, wounded, or gone missing since February 2022.
The Washington-based Institute for the Study of War also noted that activity from Russia’s Rubikon drone unit declined after Feb. 1, suggesting communications constraints from Starlink’s restrictions may be limiting operations. “I’m sure the Russians have (alternative options), but it takes time to maximize their implementation and this (would take) at least four to six months,” Yaroslavsky noted.
Elon Musk
Tesla Korea hiring AI Chip Engineers amid push for high-volume AI chips
Tesla Korea stated that it is seeking “talented individuals to join in developing the world’s highest-level mass-produced AI chips.”
In a recent post on X, Tesla Korea announced that it is hiring AI Chip Design Engineers as part of a project aimed at developing what the company describes as the world’s highest-volume AI chips. CEO Elon Musk later amplified the initiative.
Tesla Korea stated that it is seeking “talented individuals to join in developing the world’s highest-level mass-produced AI chips.”
“This project aims to develop AI chip architecture that will achieve the highest production volume in the world in the future,” Tesla Korea wrote in its post on X.
As per Tesla Korea, those who wish to apply for the AI Chip Design Engineer post should email Ai_Chips@Tesla.com and include “the three most challenging technical problems you have solved.”
Elon Musk echoed the hiring push in a separate post. “If you’re in Korea and want to work on chip design, fabrication or AI software, join Tesla!” he wrote.
The recruitment effort in South Korea comes as Tesla accelerates development of its in-house AI chips, which power its Full Self-Driving (FSD) system, Optimus humanoid robot, and data center training infrastructure.
Tesla has been steadily expanding its silicon development teams globally. In recent months, the company has posted roles in Austin and Palo Alto for silicon module process engineers across lithography, etching, and other chip fabrication disciplines, as noted in a Benzinga report.
Tesla Korea’s hiring efforts align with the company’s long-term goal of designing and producing AI chips at massive scale. Musk has previously stated that Tesla’s future AI chips could become the highest-volume AI processors in the world.
The move also comes amid Tesla’s broader expansion into AI initiatives. The company recently committed about $2 billion into xAI as part of a Series E funding round, reinforcing its focus on artificial intelligence across vehicles, robotics, and compute infrastructure.
Elon Musk
SpaceX and xAI tapped by Pentagon for autonomous drone contest
The six-month competition was launched in January and is said to carry a $100 million award.
SpaceX and its AI subsidiary xAI are reportedly competing in a new Pentagon prize challenge focused on autonomous drone swarming technology, as per a report from Bloomberg News.
The six-month competition was launched in January and is said to carry a $100 million award.
Bloomberg reported that SpaceX and xAI are among a select group invited to participate in the Defense Department’s effort to develop advanced drone swarming capabilities. The goal is reportedly to create systems that can translate voice commands into digital instructions and manage fleets of autonomous drones.
Neither SpaceX, xAI, nor the Pentagon’s Defense Innovation Unit has commented on the report, and Reuters said it could not independently verify the details.
The development follows SpaceX’s recent acquisition of xAI, which pushed the valuation of the combined companies to an impressive $1.25 trillion. The reported competition comes as SpaceX prepares for a potential initial public offering later this year.
The Pentagon has been moving to speed up drone deployment and expand domestic manufacturing capacity, while also seeking tools to counter unauthorized drone activity around airports and major public events. Large-scale gatherings scheduled this year, including the FIFA World Cup and America250 celebrations, have heightened focus on aerial security.
The reported challenge aligns with broader Defense Department investments in artificial intelligence. Last year, OpenAI, Google, Anthropic, and xAI secured Pentagon contracts worth up to $200 million each to advance AI capabilities across defense applications.
Elon Musk previously joined AI and robotics researchers in signing a 2015 open letter calling for a ban on offensive autonomous weapons. In recent years, however, Musk has spoken on X about the strengths of drone technologies in combat situations.
Starlink restrictions are hitting Russian battlefield comms: report
Tesla Korea hiring AI Chip Engineers amid push for high-volume AI chips
