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[ARTICLE · art-120725] src=marktechpost.com ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

Meta AI Released Muse Spark 1.3: An Agentic Coding Model That Uses ~20% Fewer Tool Calls and ~25% Fewer Tokens Than Muse Spark 1.2

Meta AI released Muse Spark 1.3, an agentic coding model that uses approximately 20% fewer tool calls and 25% fewer tokens than its predecessor Muse Spark 1.2. The model is designed to improve efficiency in coding tasks by reducing the number of interactions and computational resources required.

read1 min views2 publishedSep 3, 2026

Perplexity has shipped hybrid compute for its Mac app, splitting a single Perplexity Computer task between frontier models in the cloud and a compact model running on the user's machine. Tasks start in the cloud for search, planning and reasoning, then hand sensitive steps down to the Mac without restarting or losing context. An on-device privacy gate decides what may cross: keep local, mask, refuse, or ask for consent. Perplexity also open-sourced the 0.6B classifier behind that gate, which records the highest character F1 (0.629) among twelve detectors evaluated. Hybrid compute is live now for Pro, Max and Enterprise on Apple silicon Macs with 24GB of unified memory.

The post Meta AI Released Muse Spark 1.3: An Agentic Coding Model That Uses ~20% Fewer Tool Calls and ~25% Fewer Tokens Than Muse Spark 1.2 appeared first on MarkTechPost.

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