ANDES: Agent Native Data Evolving Synthesis Tool for Autonomous Instruction Alignment

AI agents are increasingly being tasked with automating AI research itself, particularly the critical post-training phase that transforms base LLMs into aligned assistants. However, recent evaluations reveal that even frontier agents struggle to perform this task. While the success of post-training fundamentally relies on acquiring high-quality data, relying on agents to autonomously curate targeted training datasets from the open web introduces severe challenges. Executing the long-horizon task

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ethics.ai (31 May 2026), “ANDES: Agent Native Data Evolving Synthesis Tool for Autonomous Instruction Alignment,” evidence record 3334, https://ethics.ai/record/3334 (originally published by arXiv).

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