Meta to spend billions on data deal

Meta is in talks to partner with Scale AI for open-source model training

Hi AI Futurists,

Meta may be making history by spending billions to partner with Scale AI, a company that organizes and labels data so AI systems can learn from it. This massive deal would help Meta train its open-source AI models without locking everything behind a paywall. Meta is trying to build the infrastructure that could power the next generation of AI tools. Let’s take a look.

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Top AI news

Meta to spend billions on data deal

Meta is making one of its biggest bets yet on the future of AI. It is in talks to sign a deal worth billions with a company called Scale AI, which specializes in preparing the enormous piles of data that AI systems need to learn. The goal: help Meta build more powerful, open-source AI tools that anyone can use, not just tech giants.

As Bloomberg reports, Scale AI will label and organize data across things like language, code, and images so Meta can use it to train its ā€œLLaMAā€ AI models, the open-source alternative to systems like ChatGPT. It’s a behind-the-scenes deal, but a huge one. Meta’s strategy is to make its AI tools available to the public, developers, and companies, instead of locking them behind a paywall.

Alexandr Wang, CEO of Scale AI, called it ā€œthe most important data labeling contract in history.ā€ And that may be true, because in AI, the quality of your data is what makes your model smart. While other companies focus on building the flashiest chatbot, Meta is quietly building the plumbing to power a whole open AI economy.

This kind of infrastructure work doesn’t make headlines like a new app might, but it changes who holds the keys to the next era of technology. For everyday people, it means the future of AI may not belong to a few closed platforms—but to many voices, tools, and creators.

Takeaways at a glance

  • Meta is in talks to sign a deal with Scale AI to help build better, smarter AI tools.

  • Scale AI’s job is to label massive amounts of data—like images, code, and text—so AI can learn from it.

  • Meta will use this data to train its open-source LLaMA AI models, which are free for others to build on.

  • This makes Meta the biggest player pushing for AI tools that are open to everyone, not locked inside one company.

  • While others compete on flash and features, Meta is quietly building the infrastructure that AI runs on.

What We Think About It:

  • This is the kind of move that doesn’t make headlines—but reshapes the tech landscape.

  • Meta’s building the ā€œroads and power linesā€ of AI, not just the apps on top.

  • If open-source AI wins, it could mean more choice, lower costs, and faster innovation for everyone—not just the big players.

What You Can Do Right Now:

  • If you’re curious about using AI tools but don’t want to pay for ChatGPT or Gemini, keep an eye on Meta’s open-source options like LLaMA—they may soon power the free AI apps you use.

  • If you work in education, business, or creative industries, this shift toward open AI could give you more control and flexibility over the tools you use—without getting locked into one company’s ecosystem.

Do you think AI tools should be open to the public instead of locked behind paywalls?

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