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Meta’s AI research lab delivers first internal models, marking early momentum

Early results are beginning to emerge from Meta Platforms’ newly formed artificial intelligence research unit, pointing to progress in the company’s renewed effort to lead advanced AI development. The first major AI models created by Meta Superintelligence Labs have now been delivered for internal use, according to comments made by Meta Chief Technology Officer Andrew Bosworth.

Speaking at a press briefing on the sidelines of the World Economic Forum in Davos, Bosworth said the early output from the lab has been promising. He noted that the unit, set up last year, is still in its initial phase but has already shown strong potential. “They’re basically six months into the work, not quite even,” he said, describing the AI models produced so far as “very good”.

While specific details of the models were not shared, their internal release is seen as an important milestone for the lab. The group was created as part of CEO Mark Zuckerberg’s broader restructuring of Meta’s AI strategy, aimed at strengthening both foundational and consumer-focused AI capabilities.

A December report by a newspaper stated that Meta has been developing several AI systems, including a text-based model internally known as ‘Avocado’ and an image- and video-focused model codenamed ‘Mango’. Both are expected to be launched in 2025. Bosworth did not confirm whether either of these models was included in the recent internal rollout.

Meta’s AI progress has drawn close attention following leadership changes, the launch of Superintelligence Labs, and aggressive hiring of top AI researchers with competitive pay packages. The company’s objective is to position itself at the forefront of AI development amid strong competition from rivals such as OpenAI, Google, and Anthropic.

Bosworth also underlined that building useful AI goes beyond training models. “There’s a tremendous amount of work to do post-training to actually deliver the model in a way that’s usable internally and by consumers,” he said, highlighting deployment, integration, and reliability as major challenges.

He described 2025 as a “tremendously chaotic year” for Meta, driven by rapid data centre expansion, rising computing needs, and efforts to secure long-term power capacity. Despite this, Bosworth said the company is now starting to see tangible returns on its investments.

Looking ahead, he pointed to 2026 and 2027 as key years for consumer AI, when systems are expected to move from answering simple questions to becoming mass-market products. Meta has already taken steps in this direction with AI-powered smart glasses developed with Ray-Ban, though international expansion has been paused temporarily to meet strong demand in the US.

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