Recent advancements in large language models (LLMs) are making significant strides in various fields. AI and tech companies are now bringing LLMs from the cloud to users' personal devices, claiming it will boost privacy and security. Companies like Geniusee are advancing AI by creating sophisticated models that understand and generate human language using transformer architectures, excelling in tasks like content creation. However, these models also present challenges, such as AI hallucinations, where the systems generate false or unsubstantiated outputs. Oxford researchers have developed a new AI tool to detect these hallucinations by leveraging semantic entropy, achieving a 79% accuracy rate, which is 10% better than existing methods. This tool measures consistency by asking the same question multiple times, aiming to pave the way for more reliable AI interactions. These advancements have the potential to accelerate development in various areas, including agentic AI implementations.