The field of generative artificial intelligence is rapidly evolving, with significant advancements in image and video detection, as well as innovative applications in areas such as aquaculture. Researchers are working to address the challenges of detecting AI-generated content, particularly in real-world scenarios, and are exploring new approaches to improve detection efficacy. The use of pre-trained visual models and generative AI-powered platforms is showing promise in addressing these challenges. Noteworthy papers in this area include: Leveraging Pre-Trained Visual Models for AI-Generated Video Detection, which proposes a novel approach for detecting AI-generated videos. A Review of Generative AI in Aquaculture, which presents a comprehensive synthesis of GAI applications in aquaculture and highlights its growing role in enabling smart and sustainable farming.