A recent study examines the use of Large Language Models (LLMs) for specialised terminology, evaluating four proprietary models in two domains. The results highlight the potential of LLMs as useful tools for specialised translators, but also note their limitations. The study paves the way for future work on the practical usefulness of LLMs in work and educational contexts.

New research reveals a critical safety blind spot in leading Large Language Models (LLMs), including ChatGPT-4o, DeepSeek, and Llama 3.1, when assessing multi-sensor physical hazard data. While excelling at single-sensor violations, these models consistently failed to issue warnings when multiple sensors collectively indicated danger below individual thresholds, posing significant risks for AI-powered safety systems.