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MechanismArticle
Muse Spark 1.2 was co-trained with Muse Code to ensure best performance and coding usability when paired together.
The author explains that co-training Muse Spark 1.2 with Muse Code, including rejection-sampled harness trajectories and harness toolset integration, maximizes combined performance. ✦ AI generated
The author · Simon Willison's Weblog · 2026-08-05 · original ↗
We co-trained Muse Spark 1.2 with Muse Code to ensure the model exhibits its best performance and coding usability when paired together. The training included rejection sampled harness trajectories and recipe optimizations for goals, compaction, and subagents, alongside the integration of the Muse Code toolset to maximize harness compatibility.
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