Labelbox has introduced updates to its Leaderboards, which provide a scientific and transparent process for ranking multimodal AI models, addressing challenges in AI model evaluation by incorporating expert human evaluations to measure subjective qualities like realism across various models. The most notable addition is the multimodal reasoning leaderboard, assessing AI models on human-like understanding and decision-making abilities through tasks such as logical storytelling and spatial reasoning. The latest update also includes advanced iterations for image, speech, and video models, with specific updates to models like Flux 1.1 Pro and Ideogram 2.0 for image generation, and Pika 1.5 and Luma Dream Machine for text-to-video generation, enhancing realism and contextual accuracy. The refined ranking system has transitioned to a more precise Elo comparison inspired by chess rankings, utilizing direct pairwise comparisons and iterative processes to stabilize scores, thereby improving the accuracy and adaptability of model assessments. These enhancements aim to provide the AI community with detailed insights into model performance and user preferences, while continuing to evolve with regular updates.