EPISODE · Jun 16, 2026 · 7 MIN
EP250: Architecting Intelligence
from Learning GenAI via SOTA Papers - Video · host Yun Wu
Title: Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less CostSource: http://arxiv.org/abs/2605.22502v1Summary:This work proposes the 'subterranean agent' paradigm, which replaces external orchestration frameworks by compiling agentic workflows directly into the model's weights via fine-tuning. This foundational shift addresses the cost and latency bottlenecks of frontier-model prompting while providing a more efficient and private alternative for procedural task execution.
What this episode covers
Title: Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less CostSource: http://arxiv.org/abs/2605.22502v1Summary:This work proposes the 'subterranean agent' paradigm, which replaces external orchestration frameworks by compiling agentic workflows directly into the model's weights via fine-tuning. This foundational shift addresses the cost and latency bottlenecks of frontier-model prompting while providing a more efficient and private alternative for procedural task execution.
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EP250: Architecting Intelligence
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