A new self-supervised framework enables the automated scaling of training environments for scientific terminal agents by extracting reference behaviors from existing software workflows.
HOW THIS AFFECTS YOU
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builderYou can use this to build more robust training loops for specialized scientific agents.
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researcherThis method automates the creation of domain-specific verifiers for agent training.