Meta unveils first AI model from costly superintelligence team

Shares of the company extended ​gains to trade up nearly 7%.

U.S. tech giants are under pressure to prove their massive AI outlays will pay off. The stakes are especially high for Meta after it hired Scale AI CEO Alex Wang last ‌year under a $14.3 ⁠billion ⁠deal and offered some engineers pay packages of hundreds of millions of dollars to staff a new superintelligence team.

Superintelligence ​refers to AI machines that could outthink humans. Muse Spark is the first in a new series of ​models from that team, and is part of a family of models known internally as Avocado.

The model will initially be available only on the lightly-used Meta AI app and website, and ​in the coming weeks, replace the existing Llama models powering ⁠chatbots on ‌WhatsApp, Instagram, Facebook and Meta’s collection of smart glasses.

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“This initial model is ​small and ​fast by design, yet capable enough to reason through complex questions in ⁠science, math, and health. It is a powerful foundation, and the ​next generation is already in development,” the company said in a ​blog post.

It did not disclose the model’s size, a key measure typically used to compare an AI system’s computing power with rivals. Meta CEO Mark Zuckerberg had tempered expectations for performance, telling investors in January that he thought the team’s first models “will be good but, more importantly, will show the rapid trajectory that we’re on.”

“I expect us to steadily push the frontier ‌over the course of the year as we continue to release new models,” he had said.

FOCUS ON EVERYDAY TASKS

Muse Spark can help users with tasks ​such as estimating ​the calories in a meal ⁠from a photo or superimposing an image of a mug on a shelf to see how it looks.

Meta also released Contemplating mode, which runs multiple AI agents in parallel to boost ​reasoning power, allowing Muse Spark to take on the extended thinking modes of Google’s Gemini Deep Think and OpenAI’s GPT Pro.

The company is betting that applying superintelligence to everyday personal tasks will help it tap its more than 3.5 billion users across its social media platforms, potentially giving it an edge over rivals with a smaller reach.