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The Politeness Paradox: Why LLMs Fail at Persian Taarof and How Researchers Are Closing the Cultural Gap

The Politeness Paradox: Why LLMs Fail at Persian Taarof and How Researchers Are Closing the Cultural Gap

New research exposes critical flaws in large language models' ability to navigate Persian taarof—a complex system of ritual politeness—with accuracy rates 40-48% below native speakers. The study introduces TaarofBench, the first cultural benchmark for Iranian social norms, and demonstrates how fine-tuning can boost alignment by up to 42%, revealing the limitations of Western-centric AI training.
Latam-GPT: Latin America Builds Its Own Open-Source AI to Capture Cultural Identity

Latam-GPT: Latin America Builds Its Own Open-Source AI to Capture Cultural Identity

Chile's CENIA leads a pan-regional effort to develop Latam-GPT—a 50-billion-parameter open-source LLM trained on Latin American languages and contexts. With unique cultural datasets and a $10M supercomputing backbone, this collaborative project aims to achieve technological sovereignty while outperforming global models on regional knowledge.