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This episode examines Meta’s release of Muse Spark, the first frontier class model from Meta Superintelligence Labs under Alexandr Wang. The briefing covers the nine month ground up rebuild of Meta’s AI stack, the shift from open weights distribution to closed proprietary deployment, and the model’s positioning on the Artificial Analysis Intelligence Index at fifty two, fourth behind Gemini three point one Pro, GPT five point four, and Claude Opus four point six. The episode details Muse Spark’s integration as the inference engine behind Meta AI across Facebook, Instagram, WhatsApp, and meta dot ai, its native multimodal reasoning and tool use capabilities, and the operational implications of Meta’s first closed weight frontier system after the Llama series.