For the last two years, the developer ecosystem has heavily relied on Meta as the champion of open-weight models. We built our local pipelines around Llama 2 and Llama 3, assuming the open-source train would keep rolling. That era has officially ended. Meta has pivoted away from its open-source Llama strategy, introducing a closed, proprietary AI model called Muse Spark . This isn't just a backend update; it is a fundamental architectural shift that ties natively into the new Meta Glasses and fundamentally changes how we build agentic workflows. Having spent over 12 years in the industry—navigating the shifts from legacy Microsoft server architectures to modern distributed systems—I can tell you that platform pivots of this magnitude dictate the next five years of engineering. When you manage large-scale data infrastructure and ML optimization systems, you look for the underlying architectural changes, not just the marketing buzz.…