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

Watch this SpaceX ship come tantalizingly close to catching rocket parts

Add as a preferred source on Google

When you really think about it, isn’t it mind-blowing that SpaceX can land a rocket back on the ground after a mission? Upright.

The private space company, led by billionaire entrepreneur Elon Musk, has pretty much perfected the landing procedure of its first-stage booster for its reusable rocket system. But it’s having a much harder time nailing the process for recovering the fairing, and has yet to pull it off. It is, however, getting tantalizingly close, as this week’s effort shows …

Recommended Videos

The fairing is the nose cone that protects the payload during launch, and SpaceX has built a ship called Mr. Steven for catching it. Yes, we said “catch.” You see, Mr. Steven is basically a ship with a massive net over the top of it, and its job is to sail into position to save one of the two fairing parts from landing in the sea. To be clear, the cone comes down in two sections, with the team currently focusing on perfecting the catching process for one part while fishing the other half out of the sea. Once it has perfected the system, SpaceX is expected to invest in a second ship.

The impact and briny ocean water can damage the fairing, and seeing as it costs around $6 million to make one from scratch, SpaceX is understandably keen to use it more than once.

Mr. Steven, which is 62 meters long and 10 meters wide, has yet to catch the fairing despite several trial runs and three attempts during actual SpaceX missions. To improve its chances of catching the fairing, the team last year increased the size of Mr. Steven’s net by around four times, so it now it covers an area of about 3,700 square meters.

The fairing as a whole is around 13 meters tall and 5 meters wide, and tips the scales at a hefty 1,000 kilograms. SpaceX has equipped each of the two sections with cold nitrogen thrusters to help them stabilize during their descent. The system then deploys a GPS-equipped, steerable parafoil (something like a parachute) at around 5 miles above sea level. This slows it down enough for Mr. Steven to get into position, but the final seconds of the operation are proving tricky.

As you can see from the video above, the latest test out in the Pacific this week came very close to working out. The fairing even touches the edge of the net before sliding away and falling into the sea. But considering that its very first effort missed by a distance of several hundred meters, the team is clearly making good progress.

Trevor Mogg
Contributing Editor
Not so many moons ago, Trevor moved from one tea-loving island nation that drives on the left (Britain) to another (Japan)…
Research shows educational institutes must not put too much faith in AI text detectors
A UF study shows these tools are so unreliable that the entire evidentiary basis for claims about AI-generated academic writing may need to be reconsidered from scratch.
Man using ChatGPT on a laptop

Here’s an uncomfortable thought for every academic institution currently using AI detectors to police student and researcher submissions: the tools don't work as reliably as institutions assume. 

A paper presented at this week’s 2026 IEEE Symposium on Security and Privacy by researchers at the University of Florida concludes that commercially available AI-generated text detectors are “poorly suited for deployment in academic or high-stakes contexts.”

Read more
Google wants Gemini to help build the next big scientific breakthrough
Gemini for Science pushes agentic AI deeper into real research workflows
gemini for science

Google is building Gemini deeper into the research workflow, starting with ideas, tests, and scientific literature.

At Google I/O 2026, the company announced Gemini for Science, an experimental suite built around agentic AI science. It targets the manual work behind discovery, including hypothesis building, computational testing, and literature review.

Read more
You can now walk through AI versions of real places with Google’s Project Genie
Text, Logo

Google is pushing its experimental AI world-building project into surprisingly realistic territory. The company announced that Project Genie can now use real-world imagery from Google Street View to generate interactive virtual environments, blending real locations with imaginative AI-generated styles.

At its core, Genie is what Google calls a “world model” — an AI system capable of creating explorable digital environments where AI agents, robots, or even users can interact naturally. Until now, those worlds were mostly synthetic. But with this new update, Genie can anchor itself to real places pulled directly from Street View imagery. This is actually where things start feeling like a glimpse into the future of simulation.

Read more