Open-Source at a crossroads
Open-source models such as Llama give developers and companies the freedom to train, fine-tune, and run AI on their own infrastructure — enabling full control over performance, privacy, and cost. They also help avoid lock-in to closed vendors, making it easier to build secure, efficient, and future-ready AI systems tailored to specific needs.
While open source has significantly lowered the barriers to entry for AI innovation, experts believe that Meta’s Llama models have been central to this shift enabling a wide range of companies to build AI solutions. This openness also raises complex questions around ownership, accountability, and national security — especially when models are repurposed in jurisdictions with differing regulatory norms and strategic goals.
This new revelation of Meta playing a crucial role in the development of DeepSeek highlights the growing tension between openness and strategic control. “Emerging markets are likely to accelerate efforts to establish clearer AI governance frameworks — balancing local innovation with context-specific challenges. At the same time, they will seek to reduce risks of misuse and dependency on external foundations through proactive guardrails that ensure responsible oversight and effective management,” Ram said.
