Meta Superintelligence Labs just shipped its first model. Muse Spark, code-named Avocado, was built in nine months by the team Mark Zuckerberg assembled after paying $14 billion to poach Alexandr Wang from Scale AI.
What Muse Spark Actually Does
Multimodal input — voice, text, images — but text-only output. It’s already live on Meta AI and meta.ai, rolling out to Facebook, Instagram, and WhatsApp next. Meta calls it a “personal superintelligence,” optimized for speed over scale, and says it’s 10x more compute-efficient than Llama 4 Maverick.
The benchmarks are mixed. Fourth place on the Artificial Analysis Intelligence Index (score: 52), behind Gemini 3.1 Pro and GPT-5.4 (both 57) and Claude Opus 4.6 (53). It leads in health reasoning (HealthBench Hard: 42.8 vs GPT-5.4’s 40.1) and search tasks, but trails in coding and abstract reasoning.
Why This One Matters
The real story isn’t the model — it’s the strategy shift. Meta built its AI reputation on open-source Llama. Muse Spark is closed source. That’s a direct reversal. Meta says open-source versions will come eventually, but “eventually” is doing a lot of heavy lifting in that sentence.
Hacker News lit up (206 points, 253 comments). Bloomberg, Fortune, TechCrunch, and every major tech outlet covered it within hours. The debate isn’t whether it’s good — it’s whether Meta just killed the thing that made Meta AI interesting in the first place.
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