First LLM in space

PLUS: Microsoft releases its first-ever Copilot usage study

Together with

Howdy, it’s Barsee.

Happy Thursday, AI family, and welcome to another AI Valley edition.

Today’s climb through the Valley reveals:

  • Nvidia-backed Starcloud trains first AI model in space

  • Bezos and Musk race to bring data centers to space

  • Microsoft releases its first-ever Copilot usage study

  • Plus trending AI tools, posts, and resources

Let’s dive into the Valley of AI…

WORK OS

Courtesy: WorkOS

Free trials help AI apps grow, but bots and fake accounts exploit them. They steal tokens, burn compute, and disrupt real users.

Cursor, the fast-growing AI code assistant, uses WorkOS Radar to detect and stop abuse in real time. With device fingerprinting and behavioral signals, Radar blocks fraud before it reaches your app.

*This is sponsored

THROUGH THE VALLEY

Courtesy: SpaceX | The Starcloud-1 satellite

Starcloud, a startup backed by Nvidia, successfully trained a large language model in space for the first time. They strapped an Nvidia H100 chip to their Starcloud-1 satellite and trained a small model (Andrej Karpathy’s nano-GPT) on Shakespeare’s works, while also running Google's Gemma model. Making a high-performance chip work in space required some serious engineering, but they proved it’s possible. Starcloud sees this as the first step toward moving data centers off-planet, where they can run on constant solar energy instead of draining power grids on Earth.

Courtesy: SpaceX

SpaceX, Blue Origin, and Google are all trying to figure out if orbital data centers are actually viable. The concept is appealing because of the solar power potential, but the technical hurdles are massive: you have to cool the hardware in a vacuum, shield it from radiation, and beam data back to Earth without lag. Critics remain skeptical about the cost, noting that you would need tens of thousands of satellites just to match the computing power of a single ground-based data center.

Courtesy: Microsoft

Microsoft analyzed 37 million Copilot conversations and found a fascinating split in how we use AI. Desktop users mostly stick to business, asking about coding, work, or school during office hours. Mobile users, however, treat Copilot more like a personal advisor, frequently asking for health and wellness advice at all times of the day. The data also showed that while coding questions dominated early on, topics became more general as the year went on. Interestingly, late-night chats tended to get philosophical, and relationship questions spiked right around Valentine’s Day.

TRENDING TOOLS

  • Remio 2.0 > No more context switching or manual uploads, connect your local files, web history, and meeting recordings into one intelligent hub *

  • SimGym > A system that creates digital customers that behave like real ones

  • Scouts > AI agents that watch the web for you and surface what matters

  • Vybe > Build real internal apps without writing code. No prototypes, just production-ready tools

  • Incredible > Launch Deep Work AI agents powered by the Agent MAX engine to run multi-step workflows from start to finish

  • Oboe > Tell it what you want to learn and it will build you a complete course

  • Chrome Split View > View two web pages side-by-side inside a single tab

  • Core Devices Index 01 > AI smart ring recorder that captures spoken ideas and turns them into notes, reminders, or calendar entries

(*) signifies sponsored tool

THINK PIECES / BRAIN BOOST

THE VALLEY GEMS

What’s trending on social today:

THAT’S ALL FOR TODAY

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