Researchers from top universities questioned whether large language models (LLMs) truly understand the world. Using new metrics, they tested LLMs on city navigation and a board game. Despite high accuracy in normal conditions, LLMs struggled with unexpected changes and created impossible scenarios. This suggests LLMs may perform well without grasping underlying rules, raising concerns for real-world AI deployment. The study will be presented at an upcoming conference.
ChatGPT 4 Omni, an AI system, accurately identified pills in a controlled test, showing potential for EMS training in overdose scenarios. However, its real-world application faces limitations and privacy concerns. EMS professionals are advised to understand the technology's capabilities and limitations before considering integration into practice.
3D artist Liz Edwards outlined traits of AI-generated 3D models in game development, including baked-in lighting, high polygon counts, and messy UV maps. These models often lack symmetry and have melded parts, causing animation difficulties. Concerns exist about transparency in AI asset creation, particularly on marketplaces where AI-generated models may not be tagged as such. This can lead to issues in game development pipelines and hiring processes.
