Skip to main content
  1. Home
  2. Emerging Tech
  3. News

NASA delays the first manned flight of its Orion Spacecraft to 2023

Add as a preferred source on Google

NASA announced this week that it was delaying the first manned spaceflight of its Orion spacecraft to April 2023. NASA scientists still hope to meet their original 2021 goal for Exploration Mission 2 (EM-2), but the revised date give them so breathing room if they encounter unexpected hurdles in the development of the deep space capsule.

Originally scheduled for 2021, the test flight was rescheduled after a performance review identified several potential hardware and software problems that could interfere with the agency’s ability to meet its original goal. In its report, NASA pointed to the reliance on re-used parts for its testing program as one possible cause for a delay. The current timeline does not allow additional time to replaces sensitive parts, which may fail under reuse. There also are other unknowns that may crop up during the development process. By allotting an extra two years, NASA will have ample time to respond if these unexpected issues occur during the development and testing phase.

Recommended Videos

The Orion capsule would be the first manned spacecraft to fly beyond the moon into deep space. It is designed to carry a crew of four astronauts and will be used to both explore deep space and bring supplies to the International Space Station. NASA has several missions planned for spacecraft with one successful flight completed last year. During Exploration Flight Test 1, NASA launched Orion to its highest apogee and recovered it four hours later in the ocean.

Before its first manned flight, NASA is planning  a 2018 Exploration Mission 2 (EM-2) during which an unmanned Orion capsule will fly around the moon. NASA researchers hope to use the information gleaned from these initial missions as it prepares for its first manned flight in 2023. These test flights are these stepping stones to the highly anticipated manned mission to Mars in the early 2030s.

Kelly Hodgkins
Kelly's been writing online for ten years, working at Gizmodo, TUAW, and BGR among others. Living near the White Mountains of…
Yet another study says AI is bad for elections, and the rabbit hole gets worse
AI may be an election bomb waiting for someone to light the fuse
Voters cast their ballots on Election Day

Another election, another study has concluded that asking an AI chatbot for political guidance is a spectacularly bad idea. Research conducted during Hungary’s 2026 parliamentary election found that ChatGPT and Google Gemini offered not just inaccurate but also inconsistent and unreliable voting advice. The chatbots misclassified voter profiles, overlooked relevant parties, recommended parties absent from the ballot, and sometimes produced materially different answers when given the same information repeatedly.

AI keeps failing the voter test

Read more
Samsung’s humanoid robot ambitions are real, but factories come first
Samsung’s new robotics division has humanoids in its sights, although its immediate business is far more practical factory automation
Robot Touch Human Finger

Samsung wants a place in the humanoid race, but its new robotics push begins with machines built for factories rather than homes.

The CEO-led RX robotics division will initially focus on manufacturing robots. Samsung has separately identified humanoids as a priority, although it hasn’t announced a commercial model or explained where one fits into the division’s immediate plans.

Read more
The future of AI may depend on this one behind-the-scenes change
Running Claude on Android.

Whenever a new AI model arrives, it's easy to get caught up in the bells and whistles. We talk about how much smarter it is, how quickly it answers questions, or how realistic its images have become. But here's the thing: none of that matters much if the AI can't reliably work with the apps and services people use every day.

That's why an upcoming update to the Model Context Protocol (MCP) caught my attention. It isn't a new chatbot or a fancy AI model. In fact, most people will never even know it's happening. But it could quietly make the AI ecosystem a lot healthier. If you've never heard of MCP before, don't worry. Think of it as a shared language that lets AI assistants safely talk to apps like Gmail, Slack, calendars, databases, and countless other services. Instead of every company inventing its own way to make those connections, MCP gives everyone a common rulebook.

Read more