What happened to Zuckerberg’s Llama 4?

Meta’s vision is to create AI that can assist individuals in achieving their goals, from creative tasks to social interactions.

Photo by julien Tromeur on Unsplash

Zuckerberg’s AI Playbook: The Road to Llama 4 and Beyond

Zuckerberg’s Llama 4 is not a story of a model that disappeared, but a story of an evolving and aggressive AI strategy.

The model’s “disappearance” from the public discourse is a sign of a new era for Meta, one defined by the release of a diverse family of open-source models rather than a single flagship product.

This new Llama family is the cornerstone of Meta’s vision for personal superintelligence, a long-term gamble to build the next major computing platform.

The success or failure of this strategy will not be measured by the release of a single model, but by whether Meta can successfully use its open-source philosophy and immense financial resources to make its vision for AI-driven daily life a reality.

The question “What happened to Llama 4?” is an insightful one because it touches on the core of Mark Zuckerberg’s updated strategic vision for Meta.

While the public release of a single model called “Llama 4” in the way we saw with Llama 2 and 3 has not happened, it has not been abandoned.

Instead, Meta has unveiled a multi-model “herd” of Llama 4 models, signaling a sophisticated and aggressive shift in its approach to AI.

This new strategy moves beyond a singular, flagship release toward a family of specialized, open-source models designed to dominate the AI landscape and serve as the foundation for Zuckerberg’s long-term vision of “personal superintelligence.”

The evolution from Llama 3 to the Llama 4 family represents a strategic pivot for Meta.

Where Llama 3 was a powerful, single-purpose model, Llama 4 is a series of specialized models designed for different applications and scales.

This “herd” includes Llama 4 Scout, Llama 4 Maverick, and the still-training Llama 4 Behemoth.

Each model is engineered for specific tasks, with Maverick, for example, excelling in text and image understanding, and Scout offering an unprecedented 10 million token context window for long-document analysis.

This multi-pronged approach allows Meta to address the diverse needs of developers and researchers, strengthening its position as a champion of open-source AI and the most used model in the world.

The core of this strategy is to use the Llama models to build a new computing platform.

Zuckerberg believes that the next technological era will not be defined by smartphones or the metaverse alone, but by a new type of computing where AI is deeply integrated into daily life.

This is where the concept of “personal superintelligence” comes in.

This personalized AI will eventually be accessed through wearable devices like smart glasses, which can see and hear the world as the user does, providing real-time assistance.

The Llama 4 models are not just conversational chatbots; they are the foundational building blocks for this future, trained on vast datasets and with multimodal capabilities that allow them to understand both text and images.

To power this ambition, Meta is making a colossal financial commitment.

The company’s projected capital expenditures for 2025 are up to $72 billion, a staggering sum primarily dedicated to expanding its AI infrastructure, including new data centers and vast GPU farms.

This massive investment is a direct challenge to competitors like OpenAI and Google, and it is a clear indication that Meta views the AI race as a winner-take-all scenario.

By pouring its considerable resources — fueled by its highly profitable advertising business — into this high-risk, high-reward strategy, Meta is betting that the initial losses will be justified by becoming the dominant platform in the age of personal AI.