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From mobility to movability

KAUST ·

Dr. Jeffrey Schnapp from Harvard University discussed the shift from mobility to movability and human-centric autonomy in robotics at KAUST's 2018 Winter Enrichment Program. He presented Gita, a cargo robot designed to move like humans and support pedestrian lifestyles. Piaggio Fast Forward, Schnapp's company, aims to create robots that coexist with humans and enhance the quality of life in pedestrian-friendly environments. Why it matters: This highlights KAUST's engagement with innovative robotics research and its focus on exploring human-robot interaction for future urban development in Saudi Arabia.

G42 Releases Nanda 87B, Opening New Frontiers in Hindi-English Language AI

G42 ·

G42 has launched Nanda 87B, an open-source Hindi-English LLM developed by MBZUAI in collaboration with Inception and Cerebras. Nanda 87B is built upon Llama-3.1 70B and trained on a dataset with over 65 billion Hindi tokens. The model is engineered for real-world use being fluent in formal Hindi, casual speech, and Hinglish, and is designed for translation, summarization, instruction-following, and transliteration tasks. Why it matters: This release marks a major advancement in creating inclusive AI technology tailored for one of the world's largest linguistic communities.

SectEval: Evaluating the Latent Sectarian Preferences of Large Language Models

arXiv ·

The paper introduces SectEval, a new benchmark to evaluate sectarian biases in LLMs concerning Sunni and Shia Islam, available in English and Hindi. Results show significant inconsistencies in LLM responses based on language, with some models favoring Shia responses in English but Sunni in Hindi. Location-based experiments further reveal that advanced models adapt their responses based on the user's claimed country, while smaller models exhibit a consistent Sunni-leaning bias.