Core Viewpoint - The article discusses the limitations of AI in recognizing visual patterns that humans can easily identify, particularly focusing on the concept of "Time Blindness" in video-language models [22][26][70]. Group 1: AI Limitations - AI models, including Gemini 2.5 Pro and GPT-5, failed to recognize a simple heart shape in a visual illusion, highlighting their inability to perceive certain visual cues that humans can easily identify [8][10][14]. - A benchmark study called SpookyBench demonstrated that while humans achieved over 98% accuracy in recognizing shapes and patterns in videos, AI models scored 0% [35][36][41]. - The inability of AI to recognize moving patterns is attributed to its reliance on spatial analysis rather than temporal understanding, leading to a phenomenon termed "Time Blindness" [43][70]. Group 2: Research Insights - The article references a paper titled "Time Blindness: Why Video-Language Models Can't See What Humans Can?" which explores the fundamental differences in how humans and AI perceive motion and visual information [22][26]. - The study involved 451 videos categorized into different temporal patterns, revealing that AI models could not identify any of the content, while humans could effortlessly recognize the intended shapes and movements [34][35]. - The research indicates that AI's approach to video analysis is fundamentally flawed, as it treats video frames as static images, missing the critical information conveyed through motion [47][50]. Group 3: Human Perception - The article emphasizes the role of human cognitive processes, such as the "Law of Common Fate," which allows individuals to perceive moving objects as a cohesive whole, a capability that AI lacks [57][67]. - It discusses the phenomenon of involuntary eye movements that help humans maintain perception of static images, which is leveraged in visual illusions to create a sense of motion [81][83]. - The author reflects on the philosophical implications of these findings, suggesting that while AI operates in a discrete, static manner, human perception is inherently fluid and continuous [73][75].