Test-time compute scaling can be optimized through two distinct dimensions: increasing the duration of agent execution (depth) and increasing the number of concurrent agents (breadth) to explore a larger search space for complex problem solving.
HOW THIS AFFECTS YOU
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builderConsider implementing multi-agent breadth strategies to improve success rates on hard reasoning tasks.
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researcherYou can explore architectural improvements by optimizing for agent breadth rather than just sequential depth.