Urgent.News

What's breaking now, across thousands of outlets.

AI

Google’s satellite AI server transmits its first response to Earth

Google's AI chip-equipped satellite has generated its first response from space. In a blog post on Friday, Google says it successfully booted up the satellite's Tensor Processing Units (TPUs), allowing the on-board Gemma 4 model to follow through on a prompt to create a haiku about being in space: Blue marble below Data streams in […]

Google’s satellite AI server transmits its first response to Earth

Google's AI-equipped satellite, known as Project Suncatcher, has successfully transmitted its first response from space. The satellite generated a haiku about being in space, as reported by Google in a blog post on Friday. According to the company, the satellite's Tensor Processing Units (TPUs) were successfully activated, enabling the onboard Gemma 4 model to follow a prompt and create the haiku: "Blue marble below, Data streams in silent grace, Starlight feeds my core. ✨".

The test was part of Project Suncatcher, an experimental initiative that aims to eventually put AI data centers in space. The satellite was launched into orbit earlier this month. Google stated that they will continue with further tests to evaluate the performance of TPUs under thermal stress and radiation exposure in orbit. They emphasized that verifying the reliability of TPUs executing workloads in space is a crucial step towards their next milestone, which involves launching twin interconnected satellites in 2027.

Written by urgent.news from The Verge's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at theverge.com →

More in AI

Stop Telling Your AI What Format You Want. Start Writing It.

You ask the model for a JSON object. Your parser gets this: Certainly! Here's the JSON you asked for: {"severity": "high", "summary": "Login fails after password reset"} Let me know if you'd like me…

  • Seed desired format directly into model's response to avoid extraneous phrases.
  • Utilize API features like structured output or JSON mode for better control.
  • Implement validation to ensure generated output conforms to specified format.

Stop Using LLMs Like Search Engines

Most devs use modern language models wrong. They open a chat window, paste an error stack trace, and wait for a magic snippet. When it works, they celebrate.

  • LLMs are spatial compressors of human text, not search engines.
  • Treating LLMs like APIs requires explicit architectural constraints and data types.
  • Building domain-specific wrappers with internal documentation improves results.

More from Friday 30 October →