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Meta Platforms announced Muse Spark, its inaugural AI model developed by a team assembled last year to compete with industry rivals in artificial intelligence. The company’s stock climbed nearly 7% following the announcement.
US tech companies are feeling the pressure to demonstrate that their substantial AI investments will yield returns. For Meta, this is particularly significant after it hired Scale AI CEO Alex Wang last year in a $14.3 billion deal and allocated hundreds of millions of dollars in compensation to some engineers to build a new superintelligence division.
Superintelligence refers to artificial intelligence capable of surpassing human intellect. Muse Spark is the first model in a new series created by this team, classified internally as Avocado. Initially, the model will be accessible only via Meta’s AI app and website, but in the coming weeks, it will replace the current Llama models used for chatbots on WhatsApp, Instagram, Facebook, and Meta’s smart glasses lineup.
Meta describes Muse Spark as a compact and fast model designed to handle complex reasoning in areas such as science, mathematics, and health. It serves as a robust foundation, with a next-generation version already under development. However, the company has not disclosed the model’s size—a key metric for comparing AI systems’ computational power against competitors.
CEO Mark Zuckerberg tempered expectations during a January investor call, stating that the initial models would be “good, but more importantly, exhibit the rapid development trajectory we’re on.” He added that the company aims to steadily advance its AI frontier through ongoing model releases.
Muse Spark is designed to assist with everyday tasks, for example, estimating calories based on a meal photo or superimposing images to preview product placements. Meta also introduced Contemplating mode, which runs multiple AI agents simultaneously to enhance reasoning capabilities. For instance, while planning a family vacation, one agent can generate an itinerary, and another can search for kid-friendly activities.
The company’s strategy centers on applying AI to daily personal tasks to increase user engagement across its social media platforms, which collectively boast over 3.5 billion users. This approach aims to give Meta a competitive edge by deepening user interaction and reliance on its AI-powered services.
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