Hybrid Reasoning Agents: LLM agents that think in latent space, act through text
THE SO WHAT
Hybrid reasoning agents that plan in latent space and execute via text are an early move toward separating "brain" from "mouth" in agent design—more compute goes into internal search, less into noisy tool-chaining. For teams building agents today, this is a prompt to benchmark not just task success but reasoning steps and cost per decision, and to budget for architectures that treat latent planning as its own optimization problem.
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