The Synthetic Web: Adversarially-Curated Mini-Internets for Diagnosing Epistemic Weaknesses of Language Agents

Researchers introduced the Synthetic Web Benchmark, revealing that frontier AI language models fail catastrophically when exposed to high-plausibility misinformation in search results. The study shows current AI agents struggle to handle conflicting information sources, with accuracy collapsing despite access to truthful content.