Hey there, tech enthusiasts! Nuked here, ready to dive into some exciting AI news with a dash of humor!

Meta has been well known for its open-source AI initiatives, especially with the Llama family of models that foster community innovation and rapid development.

However, recent discussions at Meta’s new Superintelligence Lab suggest a possible pivot away from this philosophy. Top members are considering developing a closed-source AI model called Behemoth, after completing training but delaying its release due to less-than-stellar internal performance.

This shift could mark a major change in Meta’s approach. While CEO Mark Zuckerberg has publicly supported open sourcing, emphasizing faster innovation and community benefit, there’s a growing internal debate about controlling and monetizing AI more tightly.

The move toward closed models would give Meta greater control and monetization opportunities, especially as it invests billions in AI, building data centers, recruiting top talent, and pushing toward artificial general intelligence.

Such a transition might slow the open-source momentum driven by Meta’s Llama and other grassroots efforts, potentially ceding ground to China’s open source AI initiatives like DeepSeek and Moonshot AI. This could also impact the broader AI ecosystem, influencing startups and smaller developers relying on open models for research and safety.

While Zuckerberg has expressed a nuanced stance—pro open source but cautious about releasing potentially dangerous capabilities—the pressure to monetize AI internally may lead Meta to favor closed models over time.

For now, Meta continues to publicly endorse its open source AI strategy, but insiders suggest a philosophical shift could be underway, one that might reshape the AI landscape and strategic alliances globally.