CVPR 2024 showcased significant advancements in computer vision and AI, highlighting an unprecedented level of innovation with over 10,000 attendees and more than 2,500 research papers presented. Key workshops focused on areas such as AI for 3D generation, 3D foundation models, generative visual art, and embodied AI, featuring prominent speakers from leading institutions and companies. Discussions emphasized the importance of high-quality data and synthetic data in overcoming challenges in AI model training, particularly in multimodal techniques that combine video and audio. Labelbox emerged as a key player in supporting these trends by providing advanced tooling and managed services to enhance data quality for AI models, facilitating reinforcement learning with human feedback and supervised fine-tuning. The event underscored the critical role of integrating multimodal data and human expertise in the development of next-generation AI systems, with Labelbox positioned to support these advancements through a comprehensive suite of tools and a network of expert labelers.