For the past three years, Meta's AI strategy has been built on a single distinguishing bet. While OpenAI locked its models behind an API and Anthropic built carefully behind closed doors, Meta shipped Llama openly, made the weights downloadable, and positioned itself as the company that believed AI should be a shared foundation rather than a proprietary moat. That bet earned Meta something rare in enterprise AI. Genuine goodwill from the developer community, academic credibility, and a narrative that separated it from the competitive dynamics driving every other frontier lab. The open source posture was not just a technical decision. It was a strategic identity. Muse Spark, the debut release from Meta Superintelligence Labs, changes that identity quietly but unmistakably. And the enterprise implications deserve considerably more attention than the benchmark comparisons dominating the coverage. What Alexandr Wang actually built Muse Spark handles voice, text and image inputs. A ...