The author of this blog post explores the use of memes as a benchmark for Vision Language Models (VLMs), specifically Janus Pro and Moondream2. Memes offer a unique combination of visual understanding, cultural knowledge, and contextual humor that can test various aspects of VLM capabilities. The author proposes using memes to evaluate OCR, meme understanding, attribution detection, and contextual caption generation tasks, which require models to integrate multimodal information, understand cultural references, grasp abstract concepts, and explain complex social phenomena in natural language. While the blog post is written in a humorous tone, it highlights the potential of memes as a benchmark for VLMs, providing insights into their abilities and limitations. The author also suggests creating a "Meme Arena" with topic-specific challenges to further evaluate these models' capabilities.