The disappointment of last model’s release more than a year ago led to an expensive overhaul of the company’s AI operations.

Computer vision might be one of the defining features of Meta’s smart glasses, but that doesn’t mean it works like one. Having used Meta’s Ray-Ban AI glasses at length, I can say with certainty that the ability to use the camera for identifying stuff in your surroundings is very hit or miss—sometimes it gets things right,

Meta debuted its first major large language model, Muse Spark, spearheaded by chief AI officer Alexandr Wang, who leads Meta Superintelligence Labs.

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which means you do not need to add additional tools to your LLM environment.

CEO Mark Zuckerberg has announced a new spending plan for Meta that includes building an “AI engineer” to help with coding. In a post on Facebook, Zuckerberg said Meta was building a new data center “so large it would cover a significant part of ...

Meta's first model from its Superintelligence team is natively multimodal, built for health reasoning, and genuinely competitive—but it doesn't top every leaderboard.

Engineers are being reassigned to a new AI unit charged with making autonomous agents do most of the work of building, testing, and shipping Meta’s products.

Meta's latest internal push are AI training weeks. CEO Mark Zuckerberg says 2026 is the year AI will "dramatically change" work at Meta.