Learning GenAI via SOTA Papers

EP203: How AI Agents Trade Real Money


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Title: Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital

Source: http://arxiv.org/abs/2604.26091v1


Summary:

This paper identifies the "operating layer"—comprising prompt compilation, typed controls, and execution guards—as the critical architectural framework for ensuring agentic reliability in high-stakes environments. It provides a foundational blueprint for deploying agents that manage real capital through structured validation loops rather than relying solely on base model capabilities.

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Learning GenAI via SOTA PapersBy Yun Wu